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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220707T140000
DTEND;TZID=America/Los_Angeles:20220707T150000
DTSTAMP:20231011T032340Z
CREATED:20231011T032340Z
LAST-MODIFIED:20231011T032340Z
UID:14134-1657202400-1657206000@www.cecs.uci.edu
SUMMARY:"Anti-virus hardware: Applications in Embedded\, Automotive and Power Systems Security"
DESCRIPTION:Speaker: Kanad Basu\nDate and Time: Tuesday\, June 7\, 2:00 pm \nLocation: Zoom https://uci.zoom.us/j/97807443602 \nAbstract: \nAnti-virus software (AVS) tools are used to detect Malware in a system. However\, software-based AVS are vulnerable to attacks. A malicious entity can exploit these vulnerabilities to subvert the AVS. Recently\, hardware components such as Hardware Performance Counters (HPC) have been used for Malware detection\, in the form of Anti-virus Hardware (AVH). In this talk\, we will discuss HPC-based AVHs for improving embedded security and privacy. Furthermore\, we will discuss the application of HPCs in security cyber physical systems (CPS)\, namely automotive and microgrid systems. Subsequently\, we will discuss their pitfalls. Finally\, we will present PREEMPT\, a zero overhead\, high-accuracy and low-latency technique to detect Malware by re-purposing the embedded trace buffer (ETB)\, a debug hardware component available in most modern processors.  PREEMPT combines these hardware-level observations with machine learning-based classifiers to preempt Malware before it can cause damage. We will conclude the talk with future research directions and challenges. \nBiography: \nKanad Basu received his Ph.D. from the department of Computer and Information Science and Engineering\, University of Florida. His thesis was focused on improving signal observability for post-silicon validation. Post-PhD\, Kanad worked in various semiconductor companies like IBM and Synopsys. During his PhD days\, Kanad interned at Intel. Currently\, Kanad is an Assistant Professor at the Electrical and Computer Engineering Department of the University of Texas at Dallas\, where he leads the Trustworthy and Intelligent Embedded Systems (TIES) lab. Prior to this\, Kanad was an Assistant Research Professor at the Electrical and Computer Engineering Department of NYU. He has authored 1 book\, 2 US patents\, 2 book chapters and several peer reviewed journal and conference articles. His research is supported by SRC\, NSF\, DARPA and Ford Motors. Kanad was awarded the ”Best Paper Award” at the International Conference on VLSI Design 2011 and an honorable mention award at the same conference in 2021. Several News agencies have covered his research including NBC Austin and CBS Dallas-Fort Worth. Kanad’s current research interests are hardware and systems security as well as Deep learning hardware. \nHosted By: Prof. Nikil Dutt \n 
URL:https://www.cecs.uci.edu/event/anti-virus-hardware-applications-in-embedded-automotive-and-power-systems-security/
LOCATION:CA
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220715T100000
DTEND;TZID=America/Los_Angeles:20220715T110000
DTSTAMP:20231011T032348Z
CREATED:20231011T032346Z
LAST-MODIFIED:20231011T032348Z
UID:14137-1657879200-1657882800@www.cecs.uci.edu
SUMMARY:"Electric Power to the People: Secure & Resilient Cyber-Physical Systems in the Age of Renewable Energy"
DESCRIPTION:Speaker: Charalambos Konstantinou\nDate and Time: Friday\, July 15\, 10:00 am \nLocation: EH 2430 \nAbstract: \nRapid advancements in power electronics along with the increasing penetration of distributed energy resources (DERs) are transforming the electric power grids. Furthermore\, increasing types and number of loads and electric transportation are stressing the network. Overall\, the power system is facing unprecedented changes in operation and control as more and diverse sources and loads are being connected to this complex cyber-physical energy system. In light of this modernization\, and due to the growing number of Internet-of-things (IoT) connected controllers\, and the use of communication and control interfaces\, making cyber-physical energy systems resilient to high-impact\, low-probability cyber-physical adverse events\, such as cyber-attacks\, is a major priority for power grid operations. Such incidents\, if left unabated\, can intensify and elicit system dynamics instabilities\, eventually causing outages and system failures. In this talk\, we will give an overview of the research of the Secure Next Generation Resilient Systems (SENTRY) lab (sentry.kaust.edu.sa) at KAUST\, presenting different methodologies\, in the age of renewable energy\, contributing towards building secure and resilient cyber-physical grids. \nBiography: \nCharalambos Konstantinou is an Assistant Professor of Computer Science (CS) and Affiliate Professor of Electrical and Computer Engineering (ECE) at the Computer\, Electrical and Mathematical Science and Engineering Division (CEMSE) of King Abdullah University of Science and Technology (KAUST)\, Thuwal\, Saudi Arabia. He is the Principal Investigator of the SENTRY Lab (Secure Next Generation Resilient Systems – sentry.kaust.edu.sa) and a member of the Resilient Computing and Cybersecurity Center (RC3 – rc3.kaust.edu.sa) at KAUST. Before joining KAUST in 2021\, he was an Assistant Professor with the Center for Advanced Power Systems (CAPS) at Florida State University (FSU). His research interests are in secure\, trustworthy\, and resilient cyber-physical and embedded IoT systems. He is also interested in critical infrastructures security and resilience with special focus on smart grid technologies\, renewable energy integration\, and real-time simulation. He received a Ph.D. in Electrical Engineering from New York University (NYU)\, NY\, in 2018\, and an M.Eng. Degree in Electrical and Computer Engineering from National Technical University of Athens (NTUA)\, Greece\, in 2012. \nHosted By: Prof. Mohammad Al Faruque \n 
URL:https://www.cecs.uci.edu/event/electric-power-to-the-people-secure-resilient-cyber-physical-systems-in-the-age-of-renewable-energy/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220802T140000
DTEND;TZID=America/Los_Angeles:20220802T150000
DTSTAMP:20231011T032348Z
CREATED:20231011T032346Z
LAST-MODIFIED:20231011T032348Z
UID:14138-1659448800-1659452400@www.cecs.uci.edu
SUMMARY:“Securing Hardware for Designing Trustworthy Systems”
DESCRIPTION:Speaker: Prabhat Mishra\nDate and Time: Tuesday\, August 2\, 2:00 pm \nLocation: DBH 4011 OR Zoom Link \nAbstract: \nSystem-on-Chip (SoC) is the brain behind computing and communication in a wide variety of embedded systems. Reusable hardware Intellectual Property (IP) based SoC design has emerged as a pervasive design practice in the industry to dramatically reduce SoC design and verification cost while meeting aggressive time-to-market constraints. Growing reliance on these pre-verified hardware IPs\, often gathered from untrusted third-party vendors\, severely affects the security and trustworthiness of computing platforms. It is crucial to evaluate the integrity and trustworthiness of third-party IPs for designing trustworthy systems. In this talk\, I will introduce a wide variety of hardware security vulnerabilities\, design-for-security solutions\, and possible attacks and countermeasures. I will briefly describe how the complementary abilities of simulation-based validation\, formal verification as well as side channel analysis can be effectively utilized for comprehensive SoC security and trust validation. \nBiography: \nPrabhat Mishra is a Professor in the Department of Computer and Information Science and Engineering and a UF Research Foundation Professor at the University of Florida. He received his Ph.D. in Computer Science from the University of California at Irvine in 2004. His research interests include embedded and cyber-physical systems\, hardware security and trust\, energy-aware computing\, system-on-chip validation\, machine learning\, and quantum computing. He has published 8 books\, 35 book chapters\, and more than 200 research articles in premier international journals and conferences. His research has been recognized by several awards including the NSF CAREER Award\, IBM Faculty Award\, three best paper awards\, and EDAA Outstanding Dissertation Award. He currently serves as an Associate Editor of IEEE Transactions on VLSI Systems and ACM Transactions on Embedded Computing Systems. He is an IEEE Fellow and an ACM Distinguished Scientist. \nHosted By: Prof. Nikil Dutt \n 
URL:https://www.cecs.uci.edu/event/securing-hardware-for-designing-trustworthy-systems/
LOCATION:DBH 4011\, Donald Bren Hall\, University of California\, Irvine\, Irvine\, CA\, 92617\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220810T110000
DTEND;TZID=America/Los_Angeles:20220810T120000
DTSTAMP:20231011T032348Z
CREATED:20231011T032346Z
LAST-MODIFIED:20231011T032348Z
UID:14139-1660129200-1660132800@www.cecs.uci.edu
SUMMARY:"DRAC: Designing RISC-V-based Accelerators for next generation Computers"
DESCRIPTION:Speaker: Miquel Moreto\nDate and Time: Wednesday\, August 10\, 11:00 am \nLocation: DBH 3011 OR Zoom Link \nAbstract: \nDesigning RISC-V-based Accelerators for next-generation Computers (DRAC) is a 3-year project (2019-2022) funded by the ERDF Operational Program of Catalonia 2014-2020. DRAC will design\, verify\, implement and fabricate a high-performance general purpose processor that will incorporate different accelerators based on the RISC-V technology\, with specific applications in the field of post-quantum security\, genomics\, and autonomous navigation. In this talk\, we will provide an overview of the main achievements in the DRAC project\, including the fabrication of Lagarto\, the first RISC-V processor developed in Spain. \nBiography: \nMiquel Moreto is a Ramon y Cajal Fellow at the Computer Architecture Departament (DAC) at the Universitat Politècnica de Catalunya (UPC)\, and he leads the High Performance Domain Specific Architectures team at the Barcelona Supercomputing Center (BSC). Miquel received his Ph.D. from UPC in 2010. After finishing the PhD\, he spent 15 months at the International Computer Science Institute (ICSI)\, affiliated with UC Berkeley\, as a Fulbright Postdoctoral Research Fellowship Holder during 2011 and 2012. In 2013\, he returned to Barcelona to work on multiple European projects (RoMoL\, Mont-Blanc\, EPI\, DeepHealth\, eProcessor) and industrial projects (Arm\, IBM\, Lenovo). In 2019\, he led the design and fabrication of Lagarto\, the first processor developed in Spain based on the open source RISC-V instruction set architecture. Currently\, he coordinates the DRAC project\, which is promoting the Lagarto initiative with new generations of the Lagarto processor and accelerators. \nHosted By: Prof. Veidenbaum \n 
URL:https://www.cecs.uci.edu/event/drac-designing-risc-v-based-accelerators-for-next-generation-computers/
LOCATION:DBH 3011\, Donald Bren Hall University of California\, Irve\, Irvine\, CA\, 92617\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220929T110000
DTEND;TZID=America/Los_Angeles:20220929T120000
DTSTAMP:20231011T032348Z
CREATED:20231011T032346Z
LAST-MODIFIED:20231011T032348Z
UID:14140-1664449200-1664452800@www.cecs.uci.edu
SUMMARY:"Design Automation and Computing based on Additive Printed Electronics”
DESCRIPTION:Speaker: Mehdi Tahoori\nDate and Time: Thursday\, September 29\, 11:00 am \nLocation: EH 2430 \nAbstract: \nPrinted electronics is an emerging and fast-growing field which can be used in many demanding and emerging application domains such as wearables\, smart sensors\, and Internet of Things (IoT). Unlike traditional computing and electronics domain which is mostly driven by performance characteristics\, printed and flexible electronics based on additive manufacturing processes are mainly associated with low fabrication costs and low energy. Printed electronics offer certain technological advantages over their silicon-based counterparts\, such as mechanical flexibility\, low process temperatures\, maskless and additive manufacturing possibilities. Electrolyte gated transistors (EGTs) using solution-processed inorganic materials which are fully printed using inkject printers at low temperatures are very promising to provide such solutions. However\, due to low device count\, large device dimension and high variabilities\, originated in low-cost additive manufacturing\, existing design automation and computing paradigms of digital VLSI are not applicable to printed electronics. This talk covers the technology\, process\, modeling\, fabrication\, design automation\, computing paradigms and security aspects of circuits and systems based on additive printed technologies. \nBiography: \nMehdi B. Tahoori is Professor and the Chair of Dependable Nano-Computing at Karlsruhe Institute of Technology (KIT)\, Germany. He received the B.S. degree in computer engineering from Sharif University of Technology\, Tehran\, Iran\, in 2000\, and the M.S. and Ph.D. degrees in electrical engineering from Stanford University\, Stanford\, CA\, in 2002 and 2003\, respectively. He is currently the deputy editor-in-chief of IEEE Design and Test Magazine. He was the editor-in-chief of Elsevier Microelectronic Reliability journal. He was the program chair of IEEE VLSI Test Symposium in (VTS) in 2021 and 2018\, and General Chair of IEEE European Test Symposium (ETS) in 2019. Prof. Tahoori was a recipient of the US National Science Foundation Early Faculty Development (CAREER) Award in 2008 and European Research Council (ERC) Advanced Grant in 2022. He has received a number of best paper nominations and awards at various conferences and journals. He is currently the chair of IEEE European Test Technologies Technical Council (eTTTC). He is a fellow of the IEEE. \nHosted by: Prof. Bozorgzadeh \n 
URL:https://www.cecs.uci.edu/event/design-automation-and-computing-based-on-additive-printed-electronics/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221103T150000
DTEND;TZID=America/Los_Angeles:20221103T160000
DTSTAMP:20231011T032352Z
CREATED:20231011T032352Z
LAST-MODIFIED:20231011T032352Z
UID:14147-1667487600-1667491200@www.cecs.uci.edu
SUMMARY:"Programmability\, Scalability\, and Security for Reconfigurable Computing in the Cloud"
DESCRIPTION:Speaker: Prof. Deming Chen\, University of Illinois at Urbana-Champaign (UIUC)\nDate and Time: Thursday\, November 3rd\, 3:00 pm \nLocation: EH 2430 or Zoom Link \nAbstract:  \nReconfigurable Computing uses FPGAs (Field-Programmable Gate Arrays) as an alternative to microprocessors to enable high-performance and low-energy customized computing. It is becoming a mainstream technology as evident by Intel’s $16.7B acquisition of Altera in 2015 and AMD’s $49B acquisition of Xilinx in 2022. However\, challenges remain in terms of FPGA programmability\, scalability\, and security before reconfigurable computing makes a transformative impact in the computing world\, especially in the cloud. In this talk\, Dr. Chen will present some new concepts and research results that demonstrate initial promises to overcome these challenges\, including shared virtual memory system for computing with FPGAs\, scalable high-level synthesis for FPGA programming\, and trusted execution environment with accelerators. These results are developed within the AMD-Xilinx Center of Excellence and the Hybrid-Cloud Thrust of the IBM-Illinois Discovery Accelerator Institute at UIUC. \nBio:  \nDeming Chen is the Abel Bliss Professor of the Grainger College of Engineering at University of Illinois at Urbana-Champaign (UIUC). His current research interests include reconfigurable computing\, hybrid cloud\, system-level design methodologies\, machine learning and acceleration\, and hardware security. He has published more than 250 research papers\, received ten Best Paper Awards and one ACM/SIGDA TCFPGA Hall-of-Fame Paper Award\, and given more than 140 invited talks. He is an IEEE Fellow\, an ACM Distinguished Speaker\, and the Editor-in-Chief of ACM Transactions on Reconfigurable Technology and Systems (TRETS). He is the Director of the AMD-Xilinx Center of Excellence and the Hybrid-Cloud Thrust Co-Lead of the IBM-Illinois Discovery Accelerator Institute at UIUC. He has been involved in several startup companies\, such as AutoESL and Inspirit IoT. He received his Ph.D. from the Computer Science Department of UCLA in 2005. \nHosted By: Prof. Sitao Huang \n 
URL:https://www.cecs.uci.edu/event/programmability-scalability-and-security-for-reconfigurable-computing-in-the-cloud/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230119T110000
DTEND;TZID=America/Los_Angeles:20230119T120000
DTSTAMP:20231011T032352Z
CREATED:20231011T032352Z
LAST-MODIFIED:20231011T032352Z
UID:14149-1674126000-1674129600@www.cecs.uci.edu
SUMMARY:"Self-Aware Polymorphic Architecture (SAPA) Systems"
DESCRIPTION:Speaker: Prof. Michel Kinsy\, Arizona State University (ASU)\nDate and Time: Thursday\, January 19th\, 11:00am \nLocation: EH 2430 \nAbstract: \nIn this talk\, we introduce our Self-Aware Polymorphic Architecture (SAPA) design approach to support emerging context-aware applications and mitigate the programming challenges caused by the ever-increasing complexity and heterogeneity of high-performance computing systems. Through the SAPA design\, we examine the salient software-hardware features of adaptive computing systems that allow for (1) the dynamic allocation of computing resources depending on program needs (e.g.\, the amount of parallelism in the program) and (2) automatic approximation to meet program and system goals (e.g.\, execution time budget\, power constraints\, security\, and computation resiliency) without the programming complexity of current multicore and manycore systems. The proposed polymorphic computer architecture framework applies machine learning algorithms and control theory techniques to the application execution based on information collected about the system runtime performance trade-offs. It has heterogeneous reconfigurable cores with fast hardware-level migration capability\, self-organizing memory structures and hierarchies\, an adaptive application-aware network-on-chip\, and a built-in hardware layer for dynamic\, autonomous resource management. Our prototyped architecture performs extremely well on a large pool of applications. \nBio: \nMichel A. Kinsy is the director of the ASU Secure\, Trusted\, and Assured Microelectronics (STAM) Center. He is an Associate Professor in the Ira A. Fulton Schools of Engineering at Arizona State University. Dr. Kinsy focuses his research on secure computer architecture\, hardware-level security\, and efficient hardware design and implementation of post-quantum cryptography systems. Before joining the ASU faculty\, Dr. Kinsy was an associate professor in the Department of Electrical and Computer Engineering at Texas A&M University (TAMU) where he also served as the Associate Director of the Texas A&M Cybersecurity Center (TAMC2). He also held faculty positions at Boston University and University of Oregon. From 2013 to 2014\, he was a fully cleared Member of the Technical Staff at the MIT Lincoln Laboratory. Dr. Kinsy is an MIT Presidential Fellow and an Inaugural Skip Ellis Career Award recipient. He earned his PhD in Electrical Engineering and Computer Science in 2013 from the Massachusetts Institute of Technology (MIT). \nHosted By: Fadi Kurdahi \n 
URL:https://www.cecs.uci.edu/event/self-aware-polymorphic-architecture-sapa-systems/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230126T140000
DTEND;TZID=America/Los_Angeles:20230126T150000
DTSTAMP:20231011T032353Z
CREATED:20231011T032353Z
LAST-MODIFIED:20231011T032353Z
UID:14150-1674741600-1674745200@www.cecs.uci.edu
SUMMARY:"Complex Systems Engineering Theory is a Scientific Theory"
DESCRIPTION:Speaker: Prof. Eric Feron\, King Abdullah University of Science and Technology (KAUST)\nDate and Time: Thursday\, January 26th\, 2:00pm \nLocation: EH 2430 \nAbstract: \nComplex systems engineering and associated challenges become increasingly important for the well-being and safety of our society of humans. Motivated by this formidable push towards ever more complex systems of all sizes\, spectacular failures\, and decades of questioning in a variety of contexts and endeavors\, this talk presents a theory of complex systems engineering that is\, as a scientific theory in which an engineered system can be seen as a validated scientific hypothesis arising from a convergent mix of mathematical and validated experimental constructs. In its simplest form\, it is a manufactured\, validated scientific hypothesis arising from a mathematical theorem similar to those found in theoretical physics. The talk begins with the scientific hypothesis underlying this theory\, and arguments in favor of it are displayed\, as well as some of its practical consequences in terms of complex system design and future research. Then\, a limited set of experiments is presented to try and invalidate the theory by confronting it to existing educational programs in systems engineering in the United States of America. Concurrent with these invalidation efforts\, this talk also argues that there is a serious and growing lack of education in mathematics and/or engineering ecience in most\, if not all\, systems engineering programs. Such weaknesses challenge the industrial value of all corporate or government institutions in the pursuit of complex engineered systems excellence. \nBio: \nEric Feron is a Professor of Biological\, Electrical (main)\, Computer\, and Mechanical Engineering at King Abdullah University of Science and Technology\, where he co-directs the Robotics\, Intelligent Systems\, and Control laboratory (RISClab). Prior to that or concurrently\, Eric Feron has had appointments with Ecole Nationale de l’Aviation Civile\, France; the Georgia Institute of Technology\, USA; the Institut Supérieur de l’Aéronautique et de l’Espace\, Sup’Aéro campus\, France; the Massachusetts Institute of Technology\, USA; and the Office National d’Etudes et Recherches Aérospatiales\, France. Eric Feron trained as a naval officer of the watch on nuclear submarines (France)\, and as a private pilot (USA). Feron’s research focuses on leveraging his knowledge and contributions to control theory\, computer science\, and optimization to address problems having to do with autonomy\, robotic agility\, transportation\, and other complex systems-level challenges. Feron’s work includes analytical and experimental activities and it has supported the training of dozens of doctoral\, master and undergraduate students. Eric Feron relaxes by operating sailboats of all sizes with his wife Christine-Marie\, including Casa del Mar\, their off-shore bluewater cruiser. \nHosted By: Fadi Kurdahi \n 
URL:https://www.cecs.uci.edu/event/complex-systems-engineering-theory-is-a-scientific-theory/
LOCATION:EH 2429\, Engineering Hall University of California\, Irve\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230306T140000
DTEND;TZID=America/Los_Angeles:20230306T150000
DTSTAMP:20231011T032353Z
CREATED:20231011T032353Z
LAST-MODIFIED:20231011T032353Z
UID:14151-1678111200-1678114800@www.cecs.uci.edu
SUMMARY:“Perception and Computational Efficiency for Autonomous Vehicles”
DESCRIPTION:Speaker: Prof. Marilyn Wolf\nDate and Time: Monday\, March 6th\, 2:00pm \nLocation: EH 2430 \nAbstract:   \nPerception is a critical computational task in autonomous vehicles.  Autonomous vehicles place stringent and somewhat conflicting demands on perception systems: high accuracy\, low latency\, and performance on limited computational resources.  The conflict between these requirements is particularly acute in the case of unmanned aerial vehicles (UAVs) but is also true of ground vehicles.  This talk will describe two related efforts to improve and manage efficiency in perception for autonomous vehicles. Work with Krishna Muuva and Justin Bradley of UNL looks at UAV-UAV tracking.  We show that tracking performance saturates above a given level of perceptual accuracy.  Work with Deep Samal and Saibal Mukhopodhyay of Georgia Tech compares the results of multiple evaluators to improve the accuracy of LIDAR tracking. \nBiography: \nMarilyn Wolf is Elmer E. Koch Professor of Engineering and Director of the School of Computing at the University of Nebraska – Lincoln.  She received her BS\, MS\, and PhD in electrical engineering from Stanford University in 1980\, 1981\, and 1984\, respectively.  She was with AT&T Bell Laboratories from 1984 to 1989.  She was on the faculty of Princeton University from 1989 to 2007 and was Farmer Distinguished Chair at Georgia Tech from 2007 to 2019.   Her research interests include cyber-physical systems\, embedded computing\, embedded video and computer vision\, and VLSI systems. She has received the IEEE Kirchmayer Graduate Education Award\, the IEEE Computer Society Goode Memorial Award\, the  ASEE Terman Award\, and the IEEE Circuits and Systems Society Education Award. She is a Fellow of the IEEE and ACM and an IEEE Computer Society Golden Core member. \nHosted By: Prof. Mohammad Al Faruque \n 
URL:https://www.cecs.uci.edu/event/perception-and-computational-efficiency-for-autonomous-vehicles/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230426T150000
DTEND;TZID=America/Los_Angeles:20230426T160000
DTSTAMP:20231011T032408Z
CREATED:20231011T032408Z
LAST-MODIFIED:20231011T032408Z
UID:14154-1682521200-1682524800@www.cecs.uci.edu
SUMMARY:"Intuitive\, Interoperable\, Intelligent – A Look into Current Automation Engineering Research"
DESCRIPTION:Speaker: Dr. Gustavo Quiros\nDate and Time: Wednesday\, April 26th\, 3:00pm \nLocation: EH 2430 \nAbstract:   \nIntuitive\, Interoperable\, Intelligent – The future of automation engineering will embrace these basic characteristics to continuously reduce the effort and expertise required by engineers to implement industrial automation solutions while increasing the flexibility and the capabilities of engineering tools. This talk will give an overview of several research activities in the area of industrial automation engineering\, showing how they aim to realize these three basic characteristics\, and provides a vision for automation engineering in the near future. \nBiography: \nDr. Gustavo Quiros A. is a Research and Technology Manager at Siemens Technology. He specializes in industrial automation engineering\, programming languages and software engineering. He holds a B.Sc. degree in Computer Engineering from Instituto Tecnologico de Costa Rica\, a M.Sc. degree in Software Systems Engineering and a Dr.rer.nat. degree in Process Control Engineering from RWTH Aachen University. He obtained summa cum laude and the Borchers-Badge of RWTH Aachen University for his doctoral dissertation “Model-based Decentralized Automatic Management of Product Flow Paths in Processing Plants”. He also obtained the NAMUR Award “Process Automation” 2010 from the User Association of Automation Technology in Process Industries.
URL:https://www.cecs.uci.edu/event/intuitive-interoperable-intelligent-a-look-into-current-automation-engineering-research/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230714T100000
DTEND;TZID=America/Los_Angeles:20230714T230000
DTSTAMP:20231011T032435Z
CREATED:20231011T032435Z
LAST-MODIFIED:20231011T032435Z
UID:14159-1689328800-1689375600@www.cecs.uci.edu
SUMMARY:"Requirements and Applications of  Cloud-based Services within the Automotive Edge"
DESCRIPTION:Speaker: Prof. Dr. Achim Rettberg\nDate and Time: Friday\, July 14th\, 10:00am \nLocation: EH 2430 \nAbstract: \nThe architectures in today’s vehicles are usually still based on decentralized or domain-centric architecture concepts that place a strong focus on individual control units. New applications and services\, which may only be used or required temporarily\, are very difficult to implement with these vehicle architectures. This applies in particular when external data sources and services are also involved\, e.g. a bidirectional exchange of information between vehicles and their infrastructure. The dynamic adaptation to new circumstances\, such as the availability of new data sources or the use of specific vehicle functions by third-party applications\, is hardly or not at all feasible here. These concepts are being investigated in the GAIA-X4AGEDA joint research project\, which aims to develop a software architecture in the edge device vehicle that makes use of the concepts of the cloud initiative “GAIA-X” and “by-design” data-driven applications and the dynamic adaptation of a vehicle with its functions over the entire life cycle of the vehicle. The modeling of this approach with digital twins plays a central role here\, on the one hand to be able to show early statements about characteristics such as real time etc. and on the other hand to make predictions about the state of the system \nBiography: \nProf. Dr. Achim Rettberg works since December 2017 as Professor for Human Machine Interface Technologies at University of Applied Science Hamm/Lippstadt. Previously\, he worked since end of 2014 for HELLA as Methodology expert and for inventing a PhD program. Furthermore\, he is still extraordinary Professor at Carl von Ossietzky University Oldenburg. He received his M.S. (Dipl.-Inform.) in computer science and economics in 1997 and his Ph. D. (Dr. rer. nat.) degree in 2006 from the University of Paderborn\, Germany\, where he studied computer science and economics. He worked from 2007 until 2008 as Post-Doc at C-LAB and managed EU-Projects. In 2008 he became professor of complex integrated systems/embedded systems at the Computer Science department at Carl von Ossietzky University Oldenburg. Prof. Rettberg is founder and General Chair of the International Embedded Systems Symposium (IESS). He is chair of the IFIP working group 10.2 for Embedded Systems still April 2012 and chair of IFIP TC 10  Computer Systems Technology since October 2019. Since September 2022 he is member of the IFIP board. His general research interests are real-time systems and HW/SW architectures. His current focus lies on design methods\, optimization for embedded systems and architectures\, and for human machine interface technologies for embedded devices. \nHosted By: Nikil Dutt
URL:https://www.cecs.uci.edu/event/requirements-and-applications-of-cloud-based-services-within-the-automotive-edge/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230714T110000
DTEND;TZID=America/Los_Angeles:20230714T120000
DTSTAMP:20231011T043621Z
CREATED:20231011T032435Z
LAST-MODIFIED:20231011T043621Z
UID:14160-1689332400-1689336000@www.cecs.uci.edu
SUMMARY:"An Integrated Environment for Modeling and Deploying Digital Twins"
DESCRIPTION:Speaker: Charles Steinmetz\nDate and Time: Friday\, July 14th\, 11:00am \nLocation: EH 2430 \nAbstract: \nThe Digital Twin (DT) has been the focus of researchers from academia and industry in the last few years. It is one of the key enablers of the current and next industrial revolutions\, such as Industry 4.0\, Industry 5.0\, and Metaverse. The idea of digitalizing real-world “things” can bring many benefits since it can allow monitoring\, simulation\, predictions\, optimizations and so on. However\, representing real-world systems can be complex\, since assets might have several ways of being represented and several stakeholders with different experiences might be involved. Also\, keeping models updated with the current state of the system can also be challenging. In this context\, this thesis proposes an environment that integrates all these perspectives in a common language that different stakeholders can use\, covering different system levels from the device level up to process and workflow levels. To support the creating of semantic DT models\, a methodology has been proposed\, starting from the identification of the real-world assets\, creating the semantic models and linking external ones\, and ending with the deployment of the system. Furthermore\, a 4-layers architecture is presented to help designers to identify the responsibilities of each part of the system. Use cases related with a simulated industrial plant and in the automotive area have been developed to demonstrate the proposed approach.\nBiography: \nCharles Steinmetz received the B.S. degree in Information Systems from the Franciscan University (UFN)\, Santa Maria\, Brazil\, in 2015\, and the M.Sc. degree in Computer Science from the Federal University of Rio Grande do Sul (UFRGS)\, Porto Alegre\, Brazil\, in 2018. He is currently working toward the Ph.D. degree in Computer Science with the University of Oldenburg\, Oldenburg\, Germany. He also works as Research Assistant at the University of Applied Science Hamm-Lippstadt\, Lippstadt\, Germany. His research interests are Internet of Things\, Digital Twins\, semantic models and industry 4.0.\nHosted By: Nikil Dutt
URL:https://www.cecs.uci.edu/event/an-integrated-environment-for-modeling-and-deploying-digital-twins/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2023/07/charles-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230807T110000
DTEND;TZID=America/Los_Angeles:20230807T120000
DTSTAMP:20231011T033045Z
CREATED:20231011T032546Z
LAST-MODIFIED:20231011T033045Z
UID:14162-1691406000-1691409600@www.cecs.uci.edu
SUMMARY:"Capstone: A Capability-based Foundation for Trustless Secure Memory Access"
DESCRIPTION:Speaker: Jason Zhijingcheng Yu\nDate and Time: Monday\, August 7th\, 11:00 am \nLocation: EH 2430 \nAbstract: \nCapability-based memory isolation is a promising new architectural primitive. Software can access lowlevel memory only via capability handles rather than raw pointers\, which provides a natural interface to enforce security restrictions. Existing architectural capability designs such as CHERI provide spatial safety but fail to extend to other memory models that security-sensitive software designs may desire. In this paper\, we propose Capstone\, a more expressive architectural capability design that supports multiple existing memory isolation models in a trustless setup\, i.e.\, without relying on trusted software components. We show how Capstone is well-suited for environments where privilege boundaries are fluid (dynamically extensible)\, memory sharing/delegation are desired both temporally and spatially\, and where such needs are to be balanced with availability concerns. Capstone can also be implemented efficiently. We present an implementation sketch and through evaluation show that its overhead is below 50% in common use cases. We also prototype a functional emulator for Capstone and use it to demonstrate the runnable implementations of six real-world memory models without trusted software components: three types of enclave-based TEEs\, a thread scheduler\, a memory allocator\, and Rust-style memory safety—all within the interface of Capstone.\nBiography: \nJason Zhijingcheng Yu is a 4th-year PhD student working with Prof Prateek Saxena at the School of Computing\, National University of Singapore (NUS). He works on operating system and architectural security\, with a focus on trusted computing and capability-based security in architectures. His first-authored work has been published at venues including ACM CCS 2021\, USENIX Security 2022\, and USENIX Security 2023. Homepage: https://www.comp.nus.edu.sg/~yuz1996/\nHosted By: Zhou Li
URL:https://www.cecs.uci.edu/event/capstone-a-capability-based-foundation-for-trustless-secure-memory-access/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2023/07/Jason-Yu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230926T140000
DTEND;TZID=America/Los_Angeles:20230926T150000
DTSTAMP:20241014T182326Z
CREATED:20231010T222422Z
LAST-MODIFIED:20241014T182326Z
UID:13934-1695736800-1695740400@www.cecs.uci.edu
SUMMARY:Pareto Exploration Methodology for Future Logic Technology Options in Domain-Specific Processors
DESCRIPTION:Speaker: Dr. Francky Catthoor \nDate and Time: Tuesday\, September 26th\, 2:00 pm \nLocation: EH 2430 \nAbstract:   \nScaling of Si-CMOS based logic processor circuits is hitting limits on application-level performance (throughput and latency)\, dynamic and leakage power\, and even cost characteristics. For that reason\, several researchers have started to study alternatives based on so-called beyond CMOS devices. Many emerging devices have been studied in the last decade\, especially in academia. And some of these looks promising for specific figures of-merit\, like only dynamic power (but not energy)\, only leakage (but not dynamic power) and so on. Hence\, they are almost never simultaneously improving several axes (the desirable figures-of-merit) in the Pareto trade-off space. And as a result\, they rarely improve the true Pareto front in that space. A need exists to better compare potential options in a systematic way\, with emphasis on their system-level impact\, and as much as possible in a future-proof way\, including the link to the processor architecture design and hence to the overall processing platform. In this talk\, a systematic approach will be advocated to characterize these options in a multi-dimensional Pareto exploration space\, and a few interesting directions will be positioned in this space to highlight the potential of this approach. The main architecture context will be domain-specific processor instances. \nBiography: \nFrancky Catthoor received a Ph.D. in EE from the Katholieke Univ. Leuven\, Belgium in 1987. Between 1987 and 2000\, he has headed several research domains in the area of synthesis techniques and architectural methodologies. Since 2000 he is strongly involved in other activities at IMEC including deep submicron technology aspects\, IoT and biomedical platforms\, and smart photovoltaic modules\, all at IMEC Leuven\, Belgium. Currently\, he is an IMEC fellow. He is also a part-time full professor at the EE department of the KULeuven. He has been associate editor for several IEEE and ACM journals and was elected IEEE fellow in 2005. \nHosted By: Prof. Nikil Dutt \nMore Information
URL:https://www.cecs.uci.edu/event/pareto-exploration-methodology-for-future-logic-technology-options-in-domain-specific-processors/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/webp:https://cecs.uci.edu/files/2023/09/Francky_Catthoor_1-e1728930196231.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231012T110000
DTEND;TZID=America/Los_Angeles:20231012T120000
DTSTAMP:20231011T203102Z
CREATED:20231010T174533Z
LAST-MODIFIED:20231011T203102Z
UID:13955-1697108400-1697112000@www.cecs.uci.edu
SUMMARY:Human-Centered Visual Computing: Harnessing Symbiosis Between Computer Architecture\, Imaging\, and Biological Perception
DESCRIPTION:Title: Human-Centered Visual Computing: Harnessing Symbiosis Between Computer Architecture\, Imaging\, and Biological Perception \nSpeaker: Dr. Yuhao Zhu \nDate and Time: Thursday\, October 12th\, 11:00 am \nLocation: EH 2430 \nAbstract:  \nEmerging platforms such as Augmented Reality (AR)\, Virtual Reality (VR)\, and autonomous machines\, while are of a computing nature\, intimately interact with both the environment and humans. They must be built\, from the ground up\, with principled considerations of three main components: imaging\, computer systems\, and human perception. This talk will make a case for this tenet and discuss some of our recent work on this front. I will first talk about in-sensor visual computing\, the idea that co-designing the image sensor with the computer systems will significantly improve the overall system efficiency and\, perhaps more importantly\, unlock new machine capabilities. We will show a number of case studies in AR/VR and autonomous machines. I will then discuss our work on human-systems co-optimizations\, where we 1) exploit human color vision to build energy-efficient AR/VR devices and 2) computationally “cure” color blindness without gene therapy. \nBiography:  \nYuhao Zhu is an Assistant Professor in the Department of Computer Science and a Bridging Fellow faculty in the Department of Brain and Cognitive Sciences at University of Rochester. He graduated from The University of Texas at Austin\, and previously held visiting researcher positions at Arm Research and Harvard University. Yuhao Zhu does software and hardware research for visual computing\, an exciting area where a challenging\nproblem in computing might become significantly easier when one considers how computing interacts with conventionally non-computing domains such as imaging and human perception at the system level. \nHosted By: Prof. Hyoukjun Kwon \nMore Information
URL:https://www.cecs.uci.edu/event/human-centered-visual-computing-harnessing-symbiosis-between-computer-architecture-imaging-and-biological-perception/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2023/10/Yuhao-Zhu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231103T103000
DTEND;TZID=America/Los_Angeles:20231103T113000
DTSTAMP:20231101T164120Z
CREATED:20231031T234255Z
LAST-MODIFIED:20231101T164120Z
UID:15894-1699007400-1699011000@www.cecs.uci.edu
SUMMARY:Sparse Computing and Large Language Model: from AI 1.0 to AI 2.0
DESCRIPTION:Title: Sparse Computing and Large Language Model: from AI 1.0 to AI 2.0 \nSpeaker: Prof. Guohao Dai \nDate and Time: Friday\, November 3rd\, 10:30 am \nLocation: ISEB 4020 \nAbstract: \nGeneral Artificial Intelligence is going through a new development stage from Computation AI\, Perception AI\, to Cognition AI\, with the new trends of big data\, multi-modality\, and multi-task. However\, due to the slowdown of Moore's Law\, there are bottlenecks in hardware computility\, leaving a huge gap between the supply of computility and the demand for the computility in intelligent computing. Because the AI function has the learnable characteristics\, the amount of calculation can be reduced through the sparsification method\, thereby breaking through the hardware computility bottleneck of intelligent computing while ensuring task accuracy. This report will focus on the software and hardware co-design method of sparse computing. This report will introduce the definition and process of sparse computing\, as well as the challenges faced in intelligent computing from algorithm\, compilation\, and architecture perspectives. This report will elaborate on the multi-level design method for sparse computing in AI\, and introduce three typical models in the AI ​​1.0 era (Graph Neural Networks\, Point Cloud Networks\, and Conventional Convolution Neural Networks). Finally\, this report takes the Large Language Models (LLMs) algorithm in the AI ​​2.0 era as an example to illustrate the application of the above design method in large language model inference optimization. Compared with the existing model\, the calculation speed on dense hardware architecture is increased by 2 times. \nBiography: \nGuohao Dai is a tenure-track Associate Professor at Shanghai Jiao Tong University\, he received his B.S. and Ph.D. (with honor) degrees from Tsinghua University\, Beijing\, in 2014 and 2019. Prof. Guohao Dai has published more than 50\nhigh-level international journals and conference papers in the fields of Electronic Design Automation (EDA)\, heterogeneous computing\, and system/architecture design. He has received more than 1000 citations in Google Scholar. The published paper won the ASP-DAC 2019 Best Paper Award\, DATE 2023/DAC 2022/DATE 2018 Best Paper Nomination\, and WAIC 2022 Outstanding Youth Paper Award. He has personally won honors such as the WAIC 2022 Yunfan Award\, the global champion of the NeurIPS21 BIGANN competition\, Beijing’s outstanding doctoral graduates\, Tsinghua University's outstanding doctoral graduates\, and Tsinghua University’s outstanding doctoral thesis. Professor Dai has participated in guiding students to rank third in the world in ACM 2021 SRC and first in the world in MICRO 2020 SRC. Currently\, he serves as PI/Co-PI for several projects with a personal share of over RMB 10 million. \nHosted By: Sitao Huang \nMore Information
URL:https://www.cecs.uci.edu/event/sparse-computing-and-large-language-model-from-ai-1-0-to-ai-2-0/
LOCATION:ISEB 4020\, Interdisciplinary Science and Engineering Building\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2023/10/Guohao_Dai_smaller_11-3-23.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231207T143000
DTEND;TZID=America/Los_Angeles:20231207T153000
DTSTAMP:20231101T164355Z
CREATED:20231031T205713Z
LAST-MODIFIED:20231101T164355Z
UID:15888-1701959400-1701963000@www.cecs.uci.edu
SUMMARY:Systematic Security Analysis of Cellular Network Specifications and Implementations
DESCRIPTION:Title: Systematic Security Analysis of Cellular Network Specifications and Implementations \nSpeaker: Dr. Imtiaz Karim \nDate and Time: Thursday\, December 7th\, 2:30 pm \nLocation: EH 2430 \nAbstract: \nCellular networks are the bedrock of modern communication. The recent deployment of the 5G has generated further enthusiasm and opportunities in both academia and industry\, because of its promise of enabling\ninnovative applications\, such as autonomous vehicles\, industrial IoT\, and augmented reality. Therefore\, the security of cellular network protocols is critical. In this talk\, I will elaborate on the critical challenges of ensuring cellular\nnetwork security and move on to the research we are doing to enhance the resilience of the networks. I will detail our developed techniques for both white-box and black-box analysis of cellular implementations. On the whole\, using\nthese approaches we have found 24 critical issues in both commercial and open-source implementations. Lastly\, I will talk about our recent work SPEC5G\, the first-ever public 5G dataset for NLP research\, and discuss how using\nSPEC5G and state-of-the-art Large Language Models (LLMs) we are detecting inconsistencies in the cellular protocol specifications. \nBiography: \nImtiaz Karim is a postdoctoral research associate in the Department of Computer Science at Purdue University working with Prof. Elisa Bertino. He received his Ph.D. degree from the same department in Spring\n2023. His research interests lie in analyzing the security and privacy of wireless communication protocols (e.g.\, 4G\, 5G\, Bluetooth\, VoWiFi\, vehicular\, WiFi\, and IoT)\, their implementations\, networked systems\, and mobile\ncomputing. His research has led to several changes in the design of 4G and 5G cellular standards\, and commercial implementations. He has been inducted into the GSMA Mobile Security Research Hall of Fame\nthree times and has received numerous bug bounties\, CVDs\, and CVEs. He received the best paper award at ACSAC 2019\, and the best paper award nomination at ICDCS 2021. For outstanding security research\, he has\nreceived the Maurice H. Halstead Memorial Award and the Bilsland Dissertation Fellowship Award from Purdue University in 2020 and 2022 respectively. He worked as an Applied Scientist Intern at Amazon (Summer 2021)\nand a Security Researcher Intern at Intel (Summer 2020\, 2019). \nHosted By: Zhou Li \nMore Information
URL:https://www.cecs.uci.edu/event/systematic-security-analysis-of-cellular-network-specifications-and-implementations/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2023/10/ImtiazKarim-smaller.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240126T140000
DTEND;TZID=America/Los_Angeles:20240126T150000
DTSTAMP:20240118T174157Z
CREATED:20240118T163958Z
LAST-MODIFIED:20240118T174157Z
UID:15949-1706277600-1706281200@www.cecs.uci.edu
SUMMARY:Modeling\, Analysis\, Simulation\, and Optimization. The Bedrock of Engineering
DESCRIPTION:Title: Modeling\, Analysis\, Simulation\, and Optimization. The Bedrock of Engineering \nSpeaker: Dr. Sani Nassif \nDate and Time: Friday\, January 26th\, 2:00 pm \nLocation: EH 2430 \nAbstract: \nVLSI\, Circuit Design\, Technology Scaling\, Moore’s Law\, EDA. They are our own highly specialized areas of expertise\, and it often feels like our discipline is quite different from other fields in engineering. Indeed\, the many decades of exponential growth are unique to our field and have presented numerous challenges that were met by researchers in this area with clever solutions. But at the core of our work\, we find four steps that we take over and over again. We observe phenomena\, make physical or empirical models for them\, analyze their behavior as it impacts our goals\, create mathematical models that we can use to simulate and predict the behaviors\, and finally apply optimization or improvement techniques to create the best possible outcome. These four activities are universal across engineering practice\, and it is useful to reflect on how our own tricks and techniques -many innovated in response to the severe scaling challenges the community has had to go through\, are good lessons to apply in other fields of engineering or even in medicine. \nBiography: \nSani received his PhD from Carnegie-Mellon university in the eighties. He worked for ten years at Bell Laboratories on various aspects of design and technology coupling. He then joined IBM Research where he was for eighteen years working on DFM in various technical and management roles. In 2014 he formed Radyalis to apply EDA techniques to Cancer Radiation Therapy. Sani is a fellow of the IEEE\, a member of the IBM Academy of Technology\, and an IBM master inventor with 70+ patents. He was the president of IEEE CEDA in 2014-2016\, and has published and presented widely. \nHosted By: Fadi Kurdahi \nMore Information
URL:https://www.cecs.uci.edu/event/modeling-analysis-simulation-and-optimization-the-bedrock-of-engineering/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2024/01/Sani-Nassif-picture.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240206T150000
DTEND;TZID=America/Los_Angeles:20240206T160000
DTSTAMP:20240205T182606Z
CREATED:20240124T051514Z
LAST-MODIFIED:20240205T182606Z
UID:15960-1707231600-1707235200@www.cecs.uci.edu
SUMMARY:Electrification of Mobilities\, the Challenges and Opportunities
DESCRIPTION:Title: Electrification of Mobilities\, the Challenges and Opportunities \nSpeaker: Dr. Naehyuck Chang \nDate and Time: Tuesday\, February 6th\, 3:00 pm \nLocation: EH 2430 \nAbstract: \nThe electrification of mobilities is essential for sustainability\, and governments are pushing hard to expedite electric vehicle penetration. As a result\, it is not surprising to see a large proportion of electric vehicles on the road today. Nevertheless\, the battery industry faces significant challenges starting from late 2023\, which will continue years from now. \nIn this talk\, we will introduce industry perspective challenges and opportunities for mobility electrification in both the technical and business aspects. The technical aspects to be covered are energy density\, charging time\, lifetime\, cost\, and safety. We will also bring up infrastructure issues for electric vehicle charging. As per the business aspects\, we will discuss the electrification roadmap\, government support\, marketing challenges\, supply chain\, circularity\, expected battery costs\, raw material costs\, and profit margin. In conclusion\, we will summarize the expected academic contributions to the electrification of mobilities. \nBiography: \nNaehyuck Chang is an Executive Vice President at Samsung SDI America. He was the previous Head of Development at Samsung SDI Headquarters from 2021 to 2023. Dr. Chang was in charge of all the automotive and energy-storage product developments\, from cells to systems. Samsung SDI is one of the world’s leading high-performance battery companies. He is the Founder of EMVcon\, Inc.\, Irvine\, CA\, for vehicle electrification\, funded by Samsung. \nDr. Chang received the B.S.\, M.S.\, and Ph.D. degrees from the Department of Control and Instrumentation\, Seoul National University\, Seoul\, South Korea\, in 1989\, 1992\, and 1996\, respectively. From 1997 to 2014\, he was with the Department of Computer Science and Engineering at Seoul National University. From 2011 to 2013\, Dr. Chang was the Vice Dean of the College of Engineering at Seoul National University. Since 2014\, he has been a Full Professor at the Department of Electrical Engineering\, Korea Advanced Institute of Science and Technology\, Daejeon\, South Korea. He was the Strategy Planning Committee Chair at the College of Engineering\, Korea Advanced Institute of Science and Technology. Dr. Chang was a visiting professor at the Arizona State University and the University of Southern California in 2005 and 2009\, respectively. Dr. Chang’s research interests include low-power cyber-physical systems and Design Automation of Things\, such as systematic design and optimization of fuel cell systems\, energy storage systems\, electric vehicles\, drones\, and energy harvesting. Dr. Chang is specifically interested in mobility electrification in terms of design\, optimization\, and management of optimizing the power\, energy\, and lifetime of the battery cells. Dr. Chang’s initial research also includes nuclear power plant monitoring and control systems\, high-speed train monitoring systems\, and real-time systems. \nHosted By: Fadi Kurdahi \nMore Information
URL:https://www.cecs.uci.edu/event/electrification-of-mobilities-the-challenges-and-opportunities/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2024/01/naehyuck-pic.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240220T103000
DTEND;TZID=America/Los_Angeles:20240220T113000
DTSTAMP:20240130T180258Z
CREATED:20240130T161022Z
LAST-MODIFIED:20240130T180258Z
UID:15965-1708425000-1708428600@www.cecs.uci.edu
SUMMARY:Searching for Digital Evidence in Industrial Control Systems
DESCRIPTION:Title: Searching for Digital Evidence in Industrial Control Systems \nSpeaker: Prof. Irfan Ahmed \nDate and Time: Tuesday\, February 20th\, 10:30am \nLocation: EH 2430 \nAbstract: \nIndustrial control systems (ICS) control significant portions of the U.S. critical infrastructure (e.g.\, power grid\, pipelines\, and water management). These systems are known to be vulnerable to cyberattacks\, as demonstrated in the past\, such as CrashOverride\, Havex\, and HatMan. More recently\, DHS CISA reported Russian state-sponsored cyber operations against Ukrainian critical infrastructure\, causing denial-of-service and deployment of KillDisk and other destructive malware. In case of a security breach or catastrophic event\, digital forensics investigation is crucial to answering questions about an attack. This talk will explore how malicious actors can exploit the vulnerabilities in common design features in real-world field devices into successful attacks on physical processes. It will further discuss research challenges and opportunities to investigate an ICS environment effectively. \nBiography: \nIrfan Ahmed is a VCU NIRA scholar and an Associate Professor of Computer Science at Virginia Commonwealth University (VCU)\, where he runs the Security and Forensics Engineering (SAFE) Lab in the College of Engineering\, focusing on the cybersecurity of industrial control systems (ICS). He has an extensive track record of ICS offensive and defensive research\, including eleven ICS-CERT CVEs for the programmable logic controllers of five vendors\, i.e.\, Siemens\, Schneider Electric\, Rockwell Automation\, SEL\, and Automation Direct. Ahmed is a steering team member of the DHS Industrial Control Systems Joint Working Group (ICSJWG) to engage asset owners\, vendors\, state and local governments\, industry associations\, and consultants/integrators to improve ICS cybersecurity. His work has received three Best Paper Awards\, three Best Student Paper Awards\, and two Outstanding Poster Awards in digital forensics and cybersecurity conferences. He is also the recipient of an Outstanding Research Award from the American Academy of Forensic Sciences\, the ORAU Ralph E. Powe Junior Faculty Enhancement Award\, and the CCI Innovation Award from the Virginia Commonwealth Cyber Initiative. Ahmed has also developed laboratory-scale\, fully functional ICS testbeds on a gas pipeline and a wastewater treatment plant initially funded by the Army Research Office. His research work is regularly funded by the DHS\, NSA\, DOE\, and NSF. For more information\, https://people.vcu.edu/~iahmed3/ \nHosted By: Yasser Shoukry and Mohammad Al Faruque \nMore Information
URL:https://www.cecs.uci.edu/event/searching-for-digital-evidence-in-industrial-control-systems/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2024/01/Irfan-Ahmed-pic.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240222
DTEND;VALUE=DATE:20240224
DTSTAMP:20240425T214255Z
CREATED:20240205T192719Z
LAST-MODIFIED:20240425T214255Z
UID:16010-1708560000-1708732799@www.cecs.uci.edu
SUMMARY:Self-Awareness in Cyber-Physical Systems 2024
DESCRIPTION:Event: Self-Awareness in Cyber-Physical Systems (SelPhyS) 2024\nDate: February 22-23\, 2024\nLocation: San Diego State University (SDSU) \nRegister by: Wednesday\, February 7\, 2024\nLink to Register: https://www.eventbrite.com \nView Details
URL:https://www.cecs.uci.edu/event/self-awareness-in-cyber-physical-systems-2024/
LOCATION:San Diego State University\, San Diego\, CA\, United States
CATEGORIES:Other Events,Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2024/02/SDSU.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240401T110000
DTEND;TZID=America/Los_Angeles:20240401T120000
DTSTAMP:20240425T213942Z
CREATED:20240327T223424Z
LAST-MODIFIED:20240425T213942Z
UID:16167-1711969200-1711972800@www.cecs.uci.edu
SUMMARY:Hardware for ML and ML for Hardware
DESCRIPTION:Title: Hardware for ML and ML for Hardware \nSpeaker: Prof. Aman Arora \nDate and Time: Monday\, April 1st\, 11:00am \nLocation: EH 2430 \nAbstract: \nThis talk delves into the exciting intersection of hardware design and machine learning\, showcasing how these fields are mutually benefiting each other. The presentation will feature cutting-edge research projects that exemplify this dynamic. In the first half\, I will discuss two research projects focused on optimizing hardware for machine learning (ML): the first involves architecting ML-specialized Field Programmable Gate Arrays (FPGAs)\, while the second focuses on designing a processing-in-memory (PIM) accelerator for ML. Then\, in the second half\, I will share two innovative projects in which ML is being used to revolutionize hardware design: one employing machine learning for power\, performance\, and area (PPA) prediction for FPGAs\, and another utilizing large language models (LLMs) for hardware design and verification. I will share both published results and ongoing work in these projects. This talk highlights how the interplay between these two fields can be leveraged to advance both fields\, promising a future of intelligent computing. \nBiography: \nAman Arora is an assistant professor in the School of Computing and Augmented Intelligence at Arizona State University. He directs the Advent lab\, where he and his students work on developing computer systems that can efficiently process modern workloads like Machine Learning\, with a special focus on reconfigurable systems. He graduated with a Ph.D. from the University of Texas at Austin in 2023. He has over 10 years of experience in the semiconductor industry in design\, verification\, testing and architecture roles. \nHosted By: Prof. Sitao Huang \nMore Information
URL:https://www.cecs.uci.edu/event/hardware-for-ml-and-ml-for-hardware/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2024/03/Aman-Arora-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240425T100000
DTEND;TZID=America/Los_Angeles:20240425T110000
DTSTAMP:20240425T213745Z
CREATED:20240405T212937Z
LAST-MODIFIED:20240425T213745Z
UID:16183-1714039200-1714042800@www.cecs.uci.edu
SUMMARY:Towards Self-Sustainable Wearable IoT Devices for Reliable Mobile Health Applications
DESCRIPTION:Title: Towards Self-Sustainable Wearable IoT Devices for Reliable Mobile Health Applications \nSpeaker: Prof. Ganapati Bhat \nDate and Time: Thursday\, April 25th\, 10:00am \nLocation: EH 2430 \nAbstract: \nElectronic systems experience a major shift in their form factor every 10 to 15 years\, as evidenced by the popularity of heterogeneous mobile systems in the last decade. Wearable internet of things (IoT) devices are the next big evolution in computing systems. Wearable sensors and IoT devices\, along with smart home technologies\, have the potential to transform healthcare by enabling cost-effective\, reliable\, continuous\, and data-driven monitoring of users in a free-living environment. Despite the impressive potential of wearable technology\, widespread adoption of wearable devices has been limited due to several technology and adaptation challenges. First\, wearable devices have small batteries that necessitate frequent recharging to prolong their operation. Ambient energy sources are promising to tackle this problem\, but they are highly stochastic and must be managed optimally. Second\, wearable devices operate in dynamic environments with potential changes in data distribution. Sensor data could go missing due to energy constraints as well. This must be handled in an energy-efficient manner to enable reliable applications. I will present our solutions towards these challenges in this talk. First\, I will describe imitation learning and uncertainty aware algorithms to enable recharge-free operation of wearable devices that harvest energy from the environment. After that\, I will go over our research on algorithms to handle sensor data shifts and missing data in mobile health applications. I will conclude with some ongoing research and future directions. \nBiography: \nGanapati Bhat is an Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University. He received his B.Tech degree in Electronics and Communication from Indian Institute of Technology (ISM)\, Dhanbad\, India in 2012 and the PhD degree in Computer Engineering from Arizona State University in 2020. From 2012-2014\, he worked as a software engineer at Samsung Research and Development Institute\, Bangalore\, India. His research interests include energy optimization in computing systems\, dynamic thermal and power management\, and energy management for wearable systems. Dr. Bhat received the NSF CAREER award (2023)\, 2022 ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation\, the 2021 ACM Transactions on Design Automation of Electronic Systems (TODAES) best paper award\, and 2019 Best Paper Award at CASES: International Conference on Compilers\, architecture\, and Synthesis for Embedded Systems during the Embedded Systems Week (ESWEEK). He serves as an Associate Editor of IEEE Embedded Systems Letters and IEEE Design & Test. He regularly serves as technical program committee member top-tier conferences including DAC\, ICCAD\, ISLPED\, and ESWEEK. \nHosted By: Prof. Mohammad Al Faruque \nMore Information
URL:https://www.cecs.uci.edu/event/towards-self-sustainable-wearable-iot-devices-for-reliable-mobile-health-applications/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2024/04/ganapatibhat-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240501T110000
DTEND;TZID=America/Los_Angeles:20240501T120000
DTSTAMP:20240425T214117Z
CREATED:20240425T183332Z
LAST-MODIFIED:20240425T214117Z
UID:16212-1714561200-1714564800@www.cecs.uci.edu
SUMMARY:Agile Hardware Specialization
DESCRIPTION:Title: Agile Hardware Specialization \nSpeaker: Prof. Yun Eric Liang \nDate and Time: Wednesday\, May 1st\, 11:00am \nLocation: ISEB 4020 \nAbstract: \nAs Moore’s law is approaching to the end\, designing specialized hardware accelerator along with the software that map the applications onto the specialized hardware is a promising solution. However\, the hardware is very difficult to design and optimize due to the low-level programming and huge design space. In this talk\, I will introduce AHS\, an Agile framework for Hardware specialization. AHS can automatically partition the hardware and software space\, generate the hardware accelerator\, and map the software onto the hardware efficiently. \nBiography: \nProf. Yun Eric Liang is currently an Endowed Boya Distinguished Professor in the School of Integrated Circuit and School of EECS at Peking University. His research interest is at the hardware-software interface with work spanning electronic design automation (EDA)\, reconfigurable computing\, computer architecture. He has authored over 100 scientific publications in the leading international journals and conferences. His research has been recognized with two Best Paper Awards (FCCM 2011 and ICCAD 2017)\, six Best Paper Award Nominations. He currently serves as Associate Editor of the ACM Transactions on Embedded Computing Systems (TECS) and ACM Transactions on Reconfigurable Technology and Systems (TRETS). He is the program chair of International Conference on Field Programmable Technology (FPT) 2022 and International Conference on Application-specific Systems\, Architecture and Processors (ASAP) 2019. He also serves in the program committees in the premier conferences including DAC\, ICCAD\, FPGA\, FCCM\, HPCA\, MICRO\, DATE\, ASPDAC\, SysML\, etc. \nHosted By: Prof. Sitao Huang \nMore Information
URL:https://www.cecs.uci.edu/event/agile-hardware-specialization/
LOCATION:ISEB 4020\, Interdisciplinary Science and Engineering Building\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2024/04/Yun-Eric-Liang.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240523T100000
DTEND;TZID=America/Los_Angeles:20240523T110000
DTSTAMP:20240528T214031Z
CREATED:20240516T161556Z
LAST-MODIFIED:20240528T214031Z
UID:16284-1716458400-1716462000@www.cecs.uci.edu
SUMMARY:Dissecting the Software Supply Chain of Modern Industrial Control Systems
DESCRIPTION:Title: Dissecting the Software Supply Chain of Modern Industrial Control Systems \nSpeaker: Prof. Michail Maniatakos \nDate and Time: Thursday\, May 23rd\, 10:00am \nLocation: Zoom \nAbstract: \nRecent years have been pivotal in the field of Industrial Control Systems (ICS) security\, with a large number of high-profile attacks exposing the lack of a design-for-security initiative in ICS. The evolution of ICS abstracting the control logic to a purely software level hosted on a generic OS\, combined with hyperconnectivity and the integration of popular open source libraries providing advanced features\, have expanded the ICS attack surface by increasing the entry points and by allowing traditional software vulnerabilities to be repurposed to the ICS domain. In this seminar\, we will shed light to the security landscape of modern ICS\, dissecting firmware from the dominant vendors and motivating the need of employing appropriate vulnerability assessment tools. We will present methodologies for blackbox fuzzing of modern ICS\, both directly using the device and by using the development software. We will then proceed with methodologies on hotpatching\, since ICS cannot be easily restarted in order to patch any discovered vulnerabilities. We will demonstrate our proposed methodologies on various critical infrastructure testbeds. \nBiography: \nMichail (Mihalis) Maniatakos is an Associate Professor of Electrical and Computer Engineering at New York University (NYU) Abu Dhabi\, UAE\, and a Research Associate Professor at the NYU Tandon School of Engineering\, New York\, USA. He is the Director of the MoMA Laboratory (nyuad.nyu.edu/momalab)\, NYU Abu Dhabi. He received his Ph.D. in Electrical Engineering\, as well as M.Sc.\, M.Phil. degrees from Yale University. He also received the B.Sc. and M.Sc. degrees in Computer Science and Embedded Systems\, respectively\, from the University of Piraeus\, Greece. His research interests\, funded by industrial partners\, the US government\, and the UAE government include privacy-preserving computation and industrial control systems security. \nHosted By: Prof. Mohammad Al Faruque \nMore Information
URL:https://www.cecs.uci.edu/event/dissecting-the-software-supply-chain-of-modern-industrial-control-systems/
LOCATION:Zoom
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2024/05/MichailManiatakos_5-23-24-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241017T150000
DTEND;TZID=America/Los_Angeles:20241017T160000
DTSTAMP:20241014T182231Z
CREATED:20241011T160628Z
LAST-MODIFIED:20241014T182231Z
UID:16367-1729177200-1729180800@www.cecs.uci.edu
SUMMARY:Storage-Centric Computing for Genomics and Metagenomics
DESCRIPTION:Title: Storage-Centric Computing for Genomics and Metagenomics \nSpeaker: Nika Mansouri Ghiasi \nDate and Time: Thursday\, October 17th\, 3:00pm \nLocation: DBH 4011 \nAbstract: \nGenomics and metagenomics applications have enabled significant advancements in many critical areas. The exponential growth of genomic data poses unprecedented challenges in genomics and metagenomic applications. These applications suffer from significant data movement overheads from the storage system. To fundamentally address these overheads\, we make a case for storage-centric computing. \nFirst\, we propose GenStore\, the first in-storage processing system designed for genome sequence analysis that greatly reduces both data movement and computational overheads of genome sequence analysis by exploiting low-cost and accurate in-storage filters. We address the challenges of in-storage processing\, supporting reads with 1) different read lengths and error rates\, and 2) different degrees of genetic variation. Through rigorous analysis of read mapping processes\, we design low-cost hardware accelerators and data/computation flows inside a NAND flash-based SSD. Our evaluation using a wide range of real genomic datasets shows that GenStore significantly improves the read mapping performance of state-of-the-art software (hardware) baselines by 2.07-6.05× (1.52-3.32×) for read sets with high similarity to the reference genome and 1.45-33.63× (2.70-19.2×) for read sets with low similarity to the reference genome. \nSecond\, we propose MegIS\, the first in-storage processing system designed to significantly reduce the data movement overhead of the end-to-end metagenomic analysis pipeline. MegIS is enabled by our lightweight design that effectively leverages and orchestrates processing inside and outside the storage system. Through our detailed analysis of the end-to-end metagenomic analysis pipeline and careful hardware/software co-design\, we address in-storage processing challenges for metagenomics via specialized and efficient 1) task partitioning\, 2) data/computation flow coordination\, 3) storage technology-aware algorithmic optimizations\, 4) data mapping\, and 5) lightweight in-storage accelerators. MegIS’s design is flexible\, capable of supporting different types of metagenomic input datasets\, and can be integrated into various metagenomic analysis pipelines. Our evaluation shows that MegIS outperforms the state-of-the-art performance- and accuracy-optimized software metagenomic tools by 2.7×–37.2× and 6.9×–100.2×\, respectively\, while matching the accuracy of the accuracy-optimized tool. MegIS achieves 1.5×–5.1× speedup compared to the state-of-the-art metagenomic hardware-accelerated (using processing-in-memory) tool\, while achieving significantly higher accuracy. \nBiography: \nNika Mansouri Ghiasi is a Ph.D. candidate in the SAFARI Research Group at ETH Zürich\, working with Professor Onur Mutlu. Her current research interests are in computer architecture\, emerging technologies\, bioinformatics\, and their interactions. \nHosted By: Prof. Alex Veidenbaum \nMore Information
URL:https://www.cecs.uci.edu/event/storage-centric-computing-for-genomics-and-metagenomics/
LOCATION:DBH 4011\, Donald Bren Hall\, University of California\, Irvine\, Irvine\, CA\, 92617\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2024/10/OIP-e1728930126635.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241018T140000
DTEND;TZID=America/Los_Angeles:20241018T150000
DTSTAMP:20250404T180934Z
CREATED:20241014T181841Z
LAST-MODIFIED:20250404T180934Z
UID:16376-1729260000-1729263600@www.cecs.uci.edu
SUMMARY:In Vitro Biological Neural Networks
DESCRIPTION:Title: In Vitro Biological Neural Networks \nSpeaker: Prof. Lawrence Rauchwerger \nDate and Time: Friday\, October 18th\, 2:00pm \nLocation: EH 2430 \nAbstract: \nA computing stack powered by living neurons could unlock self-organizing and dynamically rewiring systems with extreme connectivity and parallel processing power\, all while running on sugar with unprecedented energy efficiency. In this presentation we outline a framework that leverages in-silico simulation to establish an engineering testbed with the ultimate goal of learning to harness neural in-vitro systems for computational purposes. We describe an optimization approach to uncover reproducible neural activity present in a system that can be leveraged to carry out basic information processing tasks. We demonstrate the feasibility of this approach by optimizing a simulated neural system to perform digit classification\, offering a proof-of-concept for a potential pathway to leveraging neural computation in vitro. \nBiography: \nLawrence Rauchwerger is a professor in the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign. He holds a doctoral degree in computer science from the University of Illinois Urbana-Champaign and an M.S. in electrical engineering from Stanford University. Rauchwerger is known for his approach to auto-parallelization\, thread-level speculation and parallel library (STAPL). His research interests are in compilers for parallel computing\, parallel and distributed C++ libraries\, adaptive runtime optimizations\, and architectures for parallel computing. Lately he has become active in neurocomputing. He received an IBM Faculty Award\, an Intel Faculty Award\, and the NSF Faculty Early Career Development\n(CAREER) Award. He is an IEEE Fellow and a AAAS Fellow. \nHosted By: Prof. Alex Veidenbaum \nMore Information
URL:https://www.cecs.uci.edu/event/in-vitro-biological-neural-networks/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2024/10/Lawrence-Rauchwerger-e1728930349485.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250312T140000
DTEND;TZID=America/Los_Angeles:20250312T150000
DTSTAMP:20250404T180622Z
CREATED:20250306T194035Z
LAST-MODIFIED:20250404T180622Z
UID:16409-1741788000-1741791600@www.cecs.uci.edu
SUMMARY:Optimizing AI Performance: Bridging Algorithmic and Hardware Innovations from Inference to Training
DESCRIPTION:Title: Optimizing AI Performance: Bridging Algorithmic and Hardware Innovations from Inference to Training \nSpeaker: Prof. Yu Bai \nDate and Time: Wednesday\, March 12\, 2:00pm \nLocation: ISEB 1200 \nAbstract: \nArtificial intelligence (AI) continues to reshape industries and research\, but its rapid growth comes with significant computational and energy costs. This talk explores the challenges and innovations in optimizing AI efficiency\, bridging algorithmic advancements and hardware design to enhance performance from inference to training. The presentation covers two main avenues for improving AI efficiency: model optimization techniques and hardware specialization. Algorithmic strategies such as low-rank tensor decomposition\, structured sparsity\, quantization-aware training\, and compression of large-scale models (e.g.\, LLMs and diffusion models) are discussed. These methods aim to reduce memory requirements\, computational overhead\, and energy consumption while maintaining model accuracy. On the hardware side\, the talk highlights cutting-edge AI accelerators\, dataflow optimizations\, and emerging techniques like in-storage computing for AI hardware. Novel architectures such as the Tensor-Train-based Inference and energy-efficient training solutions are presented\, demonstrating substantial improvements in model compression\, multi-modal AI\, and real-time generative AI tasks. The talk also touches on the broader implications of AI efficiency\, including its impact on embedded AI platforms\, cloud-based AI\, and future developments in efficient AI hardware and software co-design. Through interdisciplinary collaboration and Industry and NSF-supported research\, this work aims to advance the next generation of AI technology\, making it both powerful and sustainable. \nBiography: \nDr. Yu Bai is an Associate Professor and Director of the Intelligent Computing Research Lab at California State University. His research focuses on emerging AI techniques\, energy-efficient AI systems\, and interdisciplinary AI applications\, spanning neuromorphic computing\, generative AI\, deep learning for IoT devices\, and high-performance computing. Dr. Bai has authored over 50 peer-reviewed publications in top AI conferences and journals\, contributing significantly to efficient neural network optimization\, AI hardware-software co-design\, and hyperspectral imaging. His work has been recognized with numerous accolades\, including the Best Researcher Award (2023) from Citation Award\, the Faculty Scholarly and Creative Activity Award (2021)\, and inclusion in Who’s Who in America. With a proven track record in securing research funding\, Dr. Bai has received over $4 million in competitive grants from agencies such as the National Science Foundation (NSF)\, the Army Research Office\, and industry-academic collaborations. His funded projects include pioneering efforts in edge AI architectures\, AI applications in biological systems\, and inclusive AI education strategies. A National Academies of Sciences\, Engineering\, and Medicine (NASEM) awardee\, Dr. Bai is dedicated to advancing AI research and fostering a diverse\, inclusive STEM community through his teaching\, mentorship\, and collaborative initiatives. \nHosted By: Prof. Fadi Kurdahi and Prof. Mohammad Al Faruque \nMore Information
URL:https://www.cecs.uci.edu/event/optimizing-ai-performance-bridging-algorithmic-and-hardware-innovations-from-inference-to-training/
LOCATION:ISEB 1200\, Interdisciplinary Science and Engineering Building University of California\, Irve\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2025/03/Yu-Bai-800x500-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250421T110000
DTEND;TZID=America/Los_Angeles:20250421T120000
DTSTAMP:20250417T173945Z
CREATED:20250415T195856Z
LAST-MODIFIED:20250417T173945Z
UID:16437-1745233200-1745236800@www.cecs.uci.edu
SUMMARY:Security in Heterogeneous Systems
DESCRIPTION:Title: Security in Heterogeneous Systems \nSpeaker: Yicheng Zhang \nDate and Time: Monday\, April 21\, 11:00am \nLocation: EH 2430 \nAbstract: \nTo improve the performance and efficiency of modern computing systems\, architects increasingly adopt heterogeneous designs that tightly integrate specialized accelerators such as GPUs and FPGAs. These accelerators enable substantial speedups for compute-intensive workloads like machine learning and AR/VR. However\, they also diverge fundamentally from traditional CPU-based systems and introduce a new class of security risks. Unlike prior work that focused on CPU vulnerabilities such as Spectre and Meltdown\, heterogeneous systems expose new attack surfaces due to their architectural complexity and shared resource usage. In this talk\, I will present my research efforts to uncover and mitigate security vulnerabilities in these heterogeneous platforms. First\, I will introduce a set of side-channel attacks targeting AR/VR devices\, leveraging rendering performance counters to recover sensitive user inputs such as virtual keystrokes and voice commands. I will then shift to large-scale cloud environments\, where I demonstrate the first end-to-end side-channel attack that exploits NVLink\, NVIDIA’s high-speed GPU interconnect\, through contention-based and performance-counter-based microarchitectural channels. To conclude\, I will present a defense framework that uses GPU side-channel signatures to validate kernel execution integrity. This approach detects tampering from attacks like buffer overflows and Rowhammer\, turning side channels into a practical tool for runtime verification. Together\, these efforts lay the groundwork for securing future heterogeneous computing platforms across both edge and cloud environments. \nBiography: \nYicheng Zhang is a fourth-year Ph.D. candidate at the University of California\, Riverside\, advised by Prof. Nael Abu-Ghazaleh. Prior to that\, he received his M.Sc. from UC Irvine and his B.S. from Sichuan University. His research interests lie in computer architecture and system security\, with a focus on AR/VR security and microarchitectural security. His work has been\nrecognized by top-tier conferences and journals including multiple USENIX Security\, IEEE S&P\, IEEE DSN and IEEE TIFS. More information can be found at his website: https://yichez.site/ \nHosted By: Prof. Zhou Li \nMore Information
URL:https://www.cecs.uci.edu/event/security-in-heterogeneous-systems/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2025/04/yicheng.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250519T110000
DTEND;TZID=America/Los_Angeles:20250519T120000
DTSTAMP:20250513T184038Z
CREATED:20250513T183835Z
LAST-MODIFIED:20250513T184038Z
UID:16459-1747652400-1747656000@www.cecs.uci.edu
SUMMARY:Efficient and Robust Defense against Query-based Black-box Attacks
DESCRIPTION:Title: Efficient and Robust Defense against Query-based Black-box Attacks \nSpeaker: Shaofei Li \nDate and Time: Monday\, May 2119\, 11:00am \nLocation: EH 2430 \nAbstract: \nQuery-based black-box attacks have emerged as a significant threat to machine learning systems\, where adversaries can manipulate the input queries to generate adversarial examples that can cause misclassification of the system. To counter these attacks\, researchers have proposed Stateful Defense Models (SDMs) such as BlackLight and PIHA\, which can reject queries that are “similar” to historical queries. However\, recent studies show that existing approaches are vulnerable to a stronger adaptive attack\, Oracle-guided Adaptive Rejection Sampling (OARS). OARS can be easily integrated with existing attack algorithms to evade the SDMs by generating queries with fine-tuned direction and step size of perturbations utilizing the leaked decision boundary from the SDMs. In this talk\, I will present our novel approach\, Query Provenance Analysis (QPA)\, for defending against query-based black-box attacks robustly (against both non-adaptive and adaptive attacks) and efficiently (in real-time). The key insight is that\, instead of focusing on individual queries\, utilizing features from the query sequence (termed query provenance) can distinguish malicious queries from benign queries more effectively. So it constructs a query provenance graph to capture the relationship between a new query and prior historical queries\, and then design efficient algorithms to detect malicious queries based on the query provenance graphs. As a results\, QPA outperforms the baselines regarding defense robustness and efficiency on both non-adaptive and adaptive attacks. It can also be deployed for various attack scenarios\, such as membership inference attack and jailbreaking. \nBiography: \nShaofei Li is currently a fourth-year Ph.D. student in the Department of Computer Science at Peking University\, advised by Prof. Ding Li\, Prof. Yao Guo and Prof. Xiangqun Chen. He received his B.S. degree from the School of Electronics Engineering and Computer Science (EECS) at Peking University in 2021. His research interests lie in cybersecurity\, system security and AI security. His research focuses on developing detection and defense mechanisms for various security threats in the real world systems. He has published several papers in top-tier security conferences and transactions such as S&P\, NDSS\, CCS and TOSEM. More information can be found at his website: https://shaofei-li.org/ \nHosted By: Prof. Zhou Li \nMore Information
URL:https://www.cecs.uci.edu/event/efficient-and-robust-defense-against-query-based-black-box-attacks/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2025/05/shaofei_li.jpg
END:VEVENT
END:VCALENDAR