BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CECS - ECPv6.18.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CECS
X-ORIGINAL-URL:https://www.cecs.uci.edu
X-WR-CALDESC:Events for CECS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
END:VTIMEZONE
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: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;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: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:20240123T120000
DTEND;TZID=America/Los_Angeles:20240123T130000
DTSTAMP:20240502T211540Z
CREATED:20240502T211540Z
LAST-MODIFIED:20240502T211540Z
UID:16263-1706011200-1706014800@www.cecs.uci.edu
SUMMARY:Provably-Safe Offloading of Neural Network Controllers for Energy-Efficiency in Autonomous Driving Systems
DESCRIPTION:Title: Provably-Safe Offloading of Neural Network Controllers for Energy-Efficiency in Autonomous Driving Systems \nSpeaker: Mohanad Odema \nDate and Time: Tuesday\, January 23rd\, 12:00pm \nLocation: EH 2430 \nAbstract: \nTo mitigate the high energy demand of Neural Network (NN) based Autonomous Driving Systems (ADSs)\, we consider the problem of offloading NN controllers from the ADS to nearby edge-computing infrastructure\, but in such a way that formal vehicle safety properties are guaranteed. In particular\, we propose the EnergyShield framework\, which repurposes a controller “shield” as a low-power runtime safety monitor for the ADS vehicle. Specifically\, the shield in EnergyShield provides not only safety interventions but also a formal\, state-based quantification of the tolerable edge response time before vehicle safety is compromised. Using EnergyShield\, an ADS can then save energy by wirelessly offloading NN computations to edge computers\, while still maintaining a formal guarantee of safety until it receives a response (on-vehicle hardware provides a just-in-time fail safe). To validate the benefits of EnergyShield\, we implemented and tested it in the Carla simulation environment. Our results show that EnergyShield maintains safe vehicle operation while providing significant energy savings compared to on-vehicle NN evaluation: from 24% to 54% less energy across a range of wireless conditions and edge delays. \nBiography: \nOdema received a B.Sc degree in Electronics and Communications in 2014 and a M.Sc degree in Computer Engineering in 2018 from Ain Shams University\, Egypt. He is currently pursuing a Ph.D. degree in Computer Engineering at UCI where his current research interests are focused on HW/SW co-design methodologies for enhancing the performance efficiency of key AI workloads as from vision and NLP applications in emerging domains such as Edge-AI\, autonomous systems\, and tinyML.
URL:https://www.cecs.uci.edu/event/provably-safe-offloading-of-neural-network-controllers-for-energy-efficiency-in-autonomous-driving-systems/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Student Seminars
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2024/05/odema.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231209T090000
DTEND;TZID=America/Los_Angeles:20231209T133000
DTSTAMP:20251113T212440Z
CREATED:20251113T212440Z
LAST-MODIFIED:20251113T212440Z
UID:16555-1702112400-1702128600@www.cecs.uci.edu
SUMMARY:MECPS Symposium 2023 Winners
DESCRIPTION:On Friday December 9\, 2023\, MECPS hosted the annual end-of-year symposium to showcase the capstone projects of the MECPS graduating students as well as projects from the first year cohort. This year\, three teams tied for second and one team won first place for the Best Project Award. \nFirst Place Winner:\nBrain Padilla\, Gabriel Rizko\, and Andre Alain Tabourian – “Power\, Communication\, and Control using NFC and WPT” \nSecond Place Winners:\nJeet Shah\, Rushabh Patel\, and Vandit Patel – “Autonomous UAV swarm for Extensive Surveillance”\nJan Wojtkowski and Joe Huang – “AR Assistant”\nArjun Sivakumar\, Bhumil Depani\, and Ricky Bevan – “AGNI—Autonomous Ground Navigation Initiative”
URL:https://www.cecs.uci.edu/event/mecps-symposium-2023-winners/
LOCATION:Interdisciplinary Science and Engineering Building (ISEB)
CATEGORIES:Awards
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2025/11/1st-and-2nd-place-winners-outside-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231208T090000
DTEND;TZID=America/Los_Angeles:20231208T133000
DTSTAMP:20240320T140831Z
CREATED:20231205T191918Z
LAST-MODIFIED:20240320T140831Z
UID:15923-1702026000-1702042200@www.cecs.uci.edu
SUMMARY:2023 MECPS Symposium
DESCRIPTION:Event: MECPS Symposium 2023\nDate: Friday\, December 8\, 2022 \nTime: 9:00am – 1:30pm \nLocation: Interdisciplinary Science and Engineering Building (ISEB) \nView Details
URL:https://www.cecs.uci.edu/event/2023-mecps-symposium/
LOCATION:ISEB Auditorium\, Interdisciplinary Science and Engineering Building\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Other Events
ORGANIZER;CN="MECPS":MAILTO:mecps@uci.edu
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;VALUE=DATE:20231201
DTEND;VALUE=DATE:20231202
DTSTAMP:20251113T230627Z
CREATED:20251113T230627Z
LAST-MODIFIED:20251113T230627Z
UID:16577-1701388800-1701475199@www.cecs.uci.edu
SUMMARY:Imani Received Young Investigator Award
DESCRIPTION:The Office of Naval Research (ONR) awarded Assistant Professor Mohsen Imani with the Young Investigator Award. Prof. Imani\, who also was also honored with Defense Advanced Research Projects Agency’s Young Faculty Award\, is a pioneer in research on hyper-dimensional computing as a neuro-symbolic AI technique. Him and his lab investigate the intersection of neuroscience\, AI\, and embedded systems. With this award\, Prof. Imani will also receive a fund of &750K over three years for his brilliant effort.
URL:https://www.cecs.uci.edu/event/imani-received-young-investigator-award/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231201
DTEND;VALUE=DATE:20231202
DTSTAMP:20251113T230240Z
CREATED:20251113T230240Z
LAST-MODIFIED:20251113T230240Z
UID:16569-1701388800-1701475199@www.cecs.uci.edu
SUMMARY:Shoukry’s UAM Project Awarded 2M
DESCRIPTION:Prof. Yasser Shoukry and team were awarded $2 million over four years by the Smart and Connected Communities and the National Science Foundation for their project “Community-Driven Design of Fair Urban Air Mobility Transportation Management Systems.” Prof. Shoukry and team will investigate and design durable Urban Air Mobility (UAM) infrastructures to help traffic congestion that will not discriminate or reinforce socioeconomic inequality.
URL:https://www.cecs.uci.edu/event/shoukrys-uam-project-awarded-2m/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231201
DTEND;VALUE=DATE:20231202
DTSTAMP:20251113T230133Z
CREATED:20251113T230133Z
LAST-MODIFIED:20251113T230133Z
UID:16565-1701388800-1701475199@www.cecs.uci.edu
SUMMARY:Jun’s Paper Appears on 25-year Retrospective Edition of ISCA’23
DESCRIPTION:Prof. Sang-Woo Jun explores the possibility of improving system efficient without sacrificing performance in his co-authored paper “GraFBoost: Using Accelerated Flash Storage for External Graph Analytics.” His paper from five years ago explained that using a solid-state drive instead of dynamic RAM for I/O intensive graph analytics can cut cost and power usage by four fold without significant loss of performance. \nFor his extraordinary discovery\, Prof. Jun’s work was selected as one of the 98 papers to appear on the 25-year retrospective edition of the International Symposium on Computer Architecture (ISCA 2023). \n 
URL:https://www.cecs.uci.edu/event/juns-paper-appears-on-25-year-retrospective-edition-of-isca23/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231201
DTEND;VALUE=DATE:20231202
DTSTAMP:20251113T212842Z
CREATED:20251113T212819Z
LAST-MODIFIED:20251113T212842Z
UID:16560-1701388800-1701475199@www.cecs.uci.edu
SUMMARY:Al Faruque Awarded 378K for Autonomous Vehicle Project
DESCRIPTION:Prof. Mohammad Al Faruque received $378K in award over three years for his project “Adaptive and Efficient Perception for Autonomous Ground Vehicle Operating in Highly Stochastic Environments under Sensing Uncertainties”. With the funding from the U.S. Army Automotive Research Center\, Prof. Al Faruque and his team will study the computational constraints and sensor fusion methods to better military autonomous vehicle on uncertain roads. \n 
URL:https://www.cecs.uci.edu/event/al-faruque-awarded-378k-for-autonomous-vehicle-project/
LOCATION:CA
CATEGORIES:Awards
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2025/11/alfaruque.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231130T093000
DTEND;TZID=America/Los_Angeles:20231130T103000
DTSTAMP:20240104T190401Z
CREATED:20240104T185923Z
LAST-MODIFIED:20240104T190401Z
UID:15937-1701336600-1701340200@www.cecs.uci.edu
SUMMARY:Towards Finding the Optimization Potential of Fine-Grained Locks
DESCRIPTION:Name:  Ahmad Nahian \nChair: Professor Brian Demsky \nDate: November 30\, 2023 \nTime:  9:30 AM \nLocation: ISEB 1010 \nCommittee: Professor Rainer Doemer\, Professor Quoc-Viet Dang \nTitle: Towards Finding the Optimization Potential of Fine-Grained Locks \nAbstract: Fine-grained locking is an effective way of eliminating lock contention in multi-threaded applications. However\, it is comparatively difficult and error prone to implement. To help programmers know the optimization potential of implementing fine-grained locking we have developed an approach that overcomes several shortcomings of prior approaches like record/replay. Our approach executes the existing implementation of the multi-threaded program with a custom thread scheduler that schedules threads according to their logical time\, which is the time it would have taken to execute the thread without waiting for unnecessary lock contention. The custom thread scheduler leverages a prediction mechanism to predict conflict relations among critical sections so that it schedules threads to generate the execution of an implementation with optimal fine-grained locking. We have implemented our approach in FGLPerf and tested it on several multi-threaded benchmarks. \nShort Bio: Ahmad Nahian is a PhD candidate in the EECS Computer Engineering program at UC Irvine\, working under the supervision of Professor Brian Demsky. Ahmad Nahian attained his BS in Computer Science and Engineering from Bangladesh University of Engineering and Technology and MS in Computer Engineering from UC Irvine. A notable work of his research is information flow profiler that finds optimization opportunities in multi-threaded programs. The information flow profiler is a powerful tool in that it can find new optimization opportunities along with optimization insights to eliminate synchronization bottlenecks that cannot be discovered by other state of the art profilers.
URL:https://www.cecs.uci.edu/event/towards-finding-the-optimization-potential-of-fine-grained-locks/
LOCATION:ISEB 1010\, Interdisciplinary Science and Engineering Building\, University of California\, Irvie\, CA\, 92697\, United States
CATEGORIES:PhD Defenses
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:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T195550Z
CREATED:20231031T195550Z
LAST-MODIFIED:20231031T195550Z
UID:15881-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Quoc-Viet Dang Received Excellence in Digital Learning
DESCRIPTION:Assistant Professor QV Dang received Excellence in Digital Learning from UCI Division of Teaching Excellence and Innovation to recognize his demonstrated excellence in undergraduate teaching at UCI. Congrats Prof. Dang!
URL:https://www.cecs.uci.edu/event/quoc-viet-dang-received-excellence-in-digital-learning/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T195458Z
CREATED:20231031T195458Z
LAST-MODIFIED:20231031T195458Z
UID:15877-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Rozhin Yasaei Won 2nd Best Paper Award at WiCys 2023
DESCRIPTION:Assistant Professor Rozhin Yasaei won 2nd Best Paper Award at Women in Cyber Security Conference 2023 with paper titled:  “Attack and Fault Detection in the Internet of Things using Graph Neural Networks.” Congrats Prof. Yasaei!
URL:https://www.cecs.uci.edu/event/rozhin-yasaei-won-2nd-best-paper-award-at-wicys-2023/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T195319Z
CREATED:20231031T195319Z
LAST-MODIFIED:20231031T195319Z
UID:15873-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Trier Mortlock Won ARC Best Student Poster Award
DESCRIPTION:Trier Mortlock won Best Student Poster Award from the Automotive Research Center (ARC) Program Review for project title: “Adaptive and Efficient Perception for Autonomous Ground Vehicles Operating in Highly Stochastic Environments under Sensing Uncertainties.” Congrats Mortlock!
URL:https://www.cecs.uci.edu/event/trier-mortlock-won-arc-best-student-poster-award/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T195234Z
CREATED:20231031T195234Z
LAST-MODIFIED:20231031T195234Z
UID:15869-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Mohsen Imani Won Young Faculty Award
DESCRIPTION:Assistant Professor Mohsen Imani won the Young Faculty Award from Defense Advanced Research Projects Agency to recognize Prof. Imani as a “rising star” in research positions\, supporting his work in the context of national security needs. Congrats Prof. Mohsen!
URL:https://www.cecs.uci.edu/event/mohsen-imani-won-young-faculty-award/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T195110Z
CREATED:20231031T195110Z
LAST-MODIFIED:20231031T195110Z
UID:15865-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Yonatan Achamyeleh Receives ECPS PhD Fellowship
DESCRIPTION:Yonatan Achamyeleh Receives ECPS PhD Fellowship. which recognize and encourage ICS/ENG PhD student through the educational efforts. Congrats Achamyeleh!
URL:https://www.cecs.uci.edu/event/yonatan-achamyeleh-receives-ecps-phd-fellowship/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T195024Z
CREATED:20231031T195024Z
LAST-MODIFIED:20231031T195024Z
UID:15861-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Mohammad Odema Received Best Paper Nomination at DATE 2023
DESCRIPTION:Mohammad Odema Received Best Paper Nomination at Design Automation and Test in Europe (DATE) 2023 for project title: “HADAS:  Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling.” Congrats Odema!
URL:https://www.cecs.uci.edu/event/mohammad-odema-received-best-paper-nomination-at-date-2023/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T194917Z
CREATED:20231031T194917Z
LAST-MODIFIED:20231031T194917Z
UID:15857-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Trier Mortlock Won ARC Excellence Award
DESCRIPTION:Trier Mortlock won the Excellence Award from The Automotive Research Center (ARC) for demonstrated exemplary service to ARC students in the field of electrical and computer engineering. Congrats Mortlock!
URL:https://www.cecs.uci.edu/event/trier-mortlock-won-arc-excellence-award/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231031T080000
DTEND;TZID=America/Los_Angeles:20231031T170000
DTSTAMP:20231031T194815Z
CREATED:20231031T194815Z
LAST-MODIFIED:20231031T194815Z
UID:15853-1698739200-1698771600@www.cecs.uci.edu
SUMMARY:Fadi Kurdahi Won Service Recognition Award
DESCRIPTION:Professor Fadi Kurdahi won Service Recognition Award for serving as Associate Dean at the Henry Samueli School of Engineering. Congrats Prof. Kurdahi!
URL:https://www.cecs.uci.edu/event/fadi-kurdahi-won-service-recognition-award/
LOCATION:CA
CATEGORIES:Awards
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: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: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: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: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:20230706T090000
DTEND;TZID=America/Los_Angeles:20230706T100000
DTSTAMP:20231011T032435Z
CREATED:20231011T032435Z
LAST-MODIFIED:20231011T032435Z
UID:14161-1688634000-1688637600@www.cecs.uci.edu
SUMMARY:Self-aware Memory Management for Emerging Energy-Efficient Architectures
DESCRIPTION:Name: Biswadip (Deep) Maity \nChair: Nikil Dutt \nDate: July 6\, 2023 \nTime: 9:00 AM \nLocation: DBH 3011 \nCommittee: Fadi Kurdahi\, Nalini Venkatasubramanian \nTitle: Self-aware Memory Management for Emerging Energy-Efficient Architectures \nAbstract: \nThe ever-increasing demands of data-intensive applications have presented significant challenges in memory performance and energy efficiency. Traditional approaches to memory management\, relying on workload-specific optimizations and static memory configurations\, have become inadequate in addressing the dynamic nature of modern computing systems. Inspired by principles from psychology and neuroscience\, computational self-awareness aims to develop intelligent systems capable of learning from past experiences\, reasoning about their current state\, and making informed decisions at runtime. My research investigates the application of computational self-awareness in memory management\, with a specific focus on understanding the impact of different degrees of self-awareness within the memory subsystem. By applying self-awareness principles to memory management\, we show that it is possible to create an energy-efficient memory subsystem that adapts to changing workloads and optimizes memory usage across various architectures and layers of the system abstraction. \nShort Bio: \nBiswadip Maity is a Ph.D. candidate at the Computer Science department of University of California\, Irvine. Previously\, he was a Software Engineer at Microsoft. His research is in the area of runtime resource allocation and power management for data-centric architectures with a special focus on self-aware embedded systems\, memory systems\, system software and architecture for heterogeneous systems. He is a member of the Dutt Research Group working with Prof. Nikil Dutt. His work spans across resource-constrained microcontrollers\, IoT systems and Cloud computing performance (in collaboration with Facebook). Biswadip Maity is a Charpak Scholar\, a DAAD Scholar\, and a recipient of a Facebook Research Grant.
URL:https://www.cecs.uci.edu/event/self-aware-memory-management-for-emerging-energy-efficient-architectures/
LOCATION:DBH 3011\, Donald Bren Hall University of California\, Irve\, Irvine\, CA\, 92617\, United States
CATEGORIES:PhD Defenses
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230524T150000
DTEND;TZID=America/Los_Angeles:20230524T160000
DTSTAMP:20231011T032435Z
CREATED:20231011T032435Z
LAST-MODIFIED:20231011T032435Z
UID:14158-1684940400-1684944000@www.cecs.uci.edu
SUMMARY:Integrating Machine Learning for Enhanced Cross-Layer Security and Reliability in Hardware and Cyber-Physical Systems
DESCRIPTION:Name: Rozhin Yasaei\nChair: Mohammad Al Faruque \nDate: May 24\, 2023 \nTime: 3:00 PM \nLocation: EH 2430-Harut Barsamian \nCommittee: Fadi Kurdahi\, Zhou Li \nTitle: Integrating Machine Learning for Enhanced Cross-Layer Security and Reliability in Hardware and Cyber-Physical Systems \nAbstract: \nThis Ph.D. thesis presents a comprehensive investigation into addressing security and reliability challenges in hardware design and cyber-physical systems. The research leverages advanced techniques such as Graph Neural Networks (GNN) and machine learning to develop novel methodologies for anomaly detection\, hardware Trojan detection\, IP piracy detection\, and cross-layer security analysis.\nThe thesis focuses on hardware security\, specifically Hardware Trojan (HT) detection. A golden reference-free approach\, GNN4TJ\, is proposed for detecting HTs at the Register Transfer Level (RTL). By modeling hardware designs as graphs and employing GNN\, GNN4TJ achieves high recall rates for identifying both known and unknown HTs. \nMoving to the IoT domain\, the thesis addresses security challenges in IoT systems through the development of adaptive anomaly detection methods. IoT-CAD utilizes IoT sensor data and fog computing to ensure data integrity and detect anomalous incidents. The proposed methodology incorporates sensor association algorithms\, LSTM neural networks\, and Gaussian estimation for real-time anomaly detection. The thesis further extends the research to multi-modal data fusion\, where the integration of sensor and communication data using GNN enables improved anomaly detection\, source identification\, and recovery in IoT systems. \nIn addition\, the thesis explores the security aspect of wearable devices. A machine learning-based approach is proposed to detect anomalies in wearable devices that rely on NFC protocols. By leveraging system context and sensor correlations\, the methodology achieves high accuracy in detecting anomalies from multiple wearable sensors.\nFurthermore\, the thesis delves into IP piracy detection\, introducing a novel methodology that utilizes GNN to assess circuit similarities and detect IP piracy. The proposed approach proves effective in detecting IP piracy even in the presence of obfuscation techniques\, providing a robust solution for protecting intellectual properties. \nOverall\, this thesis showcases the application of advanced techniques such as GNN and machine learning in enhancing security and reliability in hardware design\, IoT systems\, and wearable devices. The proposed methodologies for anomaly detection\, hardware Trojan detection\, IP piracy detection\, and cross-layer security analysis contribute to advancing the state-of-the-art in ensuring the integrity and security of critical systems in the digital era. \nShort Bio: \nRozhin Yasaei is currently a Ph.D. candidate at the University of California Irvine\, studying computer engineering under Professor Mohammad Al Faruque. She received her M.Sc. degree in computer engineering from the University of California Irvine in 2021 and her B.Sc. in electrical engineering from Sharif University of technology in 2018. Her research interests lie in applied machine learning for embedded and cyber-physical systems security. She develops new methodologies that bring principles and techniques from machine learning\, such as graph neural networks\, to cross-layer system security. Rozhin conducts research that spans the areas of hardware\, embedded systems\, and cyber-physical systems while maintaining relevance to security and reliability. \nRozhin was selected for UC Irvine’s pedagogical fellowship in 2021 and\, through one year of training\, received a teaching excellence certificate and the qualification to design and implement a 3-day training program for incoming graduate students to prepare them for teaching assistance. Furthermore\, she received the Rising Stars in EECS Award in 2022\, the iREDEFINE Professional Development Award in 2022\, UCI UROP Research Discovery Fellowship in 2022\, UCI Henry Samueli Endowed Scholarship in 2018\, and several scholarships from different conferences. \nRozhin is devoted to promoting diversity and inclusion and supporting her fellow collages\, especially the underrepresented population in STEM\, by actively volunteering for panels\, workshops\, and conferences with similar visions and serving the community. She has been the president of the UCI chapter of the Women in CyberSecurity (WiCyS) organization since 2021 to foster women’s participation in this field. Qualified with mentoring excellence certificate\, she has been selected by several programs at UCI to mentor undergraduate and graduate students.
URL:https://www.cecs.uci.edu/event/integrating-machine-learning-for-enhanced-cross-layer-security-and-reliability-in-hardware-and-cyber-physical-systems/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:PhD Defenses
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230523T140000
DTEND;TZID=America/Los_Angeles:20230523T150000
DTSTAMP:20231011T032546Z
CREATED:20231010T160244Z
LAST-MODIFIED:20231011T032546Z
UID:13940-1684850400-1684854000@www.cecs.uci.edu
SUMMARY:Reasoning About Emergent Behaviors at Runtime
DESCRIPTION:Name: Caio Batista de Melo\nChair: Nikil Dutt \nDate: May 23\, 2023 \nTime: 2:00 PM \nLocation: DBH 4011 \nCommittee: Fadi Kurdahi\, Tony Givargis \nTitle: Reasoning About Emergent Behaviors at Runtime \nAbstract: \nAs Autonomous Vehicles (AVs) become more common in the market\, the development of new technologies and solutions for them advances quickly. However\, there still are safety concerns regarding the increasing presence of AVs on public roads. For example\, the Cali- fornia Department of Motor Vehicles reported an approximate average of 3 disengagement events for each AV under test in 2021 and 1 event for every 1\,500 driven miles. Considering that a vehicle drives\, on average\, 15\,000 miles per year\, an AV would have ten such incidents annually. With this in mind\, work needs to be done to enable AVs to handle unexpected sit- uations (i.e.\, emergent behaviors) that can arise while driving\, increasing the safety for both humans and AVs on the road. This dissertation discusses possible approaches to improve the detection and reasoning of emergent behaviors at runtime. \nFirst\, it describes SAFER\, a framework to monitor individual systems using runtime verifica- tion alongside machine learning anomaly detection to detect emergent behaviors at runtime. SAFER achieves an average F1-score of 83% over four different example systems\, showcas- ing its efficacy to be on par with related work while being applicable to different classes of applications. Next\, it discusses DRIVE\, a framework for monitoring collective systems that can work together to find global anomalies that affect collective safety by identifying violations in local properties. Throughout a state-of-the-art inspired truck platooning case study\, DRIVE can detect all safety property violations\, with most queries resolved under 1 ms and a maximum latency of 11 ms per query\, demonstrating its promise. Lastly\, it presents LOCoCAT\, a low-overhead framework for emergent behavior reasoning to classify anomaly types based on vehicular data. LOCoCAT achieves an F1-score of up to 99.16% within the first 50 ms of the anomaly\, allowing the system to react quickly. These three techniques can be combined to allow future AVs to operate more safely on the road. \nShort Bio: \nCaio Batista del Melo is a Ph.D. candidate at the Computer Science Department of the University of California\, Irvine\, where he works with Prof. Nikil Dutt on the Information Processing Factory project. His research focuses on emergent behaviors and fault detection of systems. From a big-picture view\, he explored how we can enable self-driving vehicles to detect unexpected situations and decide how to best react to them. Prior to joining UCI\, he attended the University of Brasília\, in Brazil\, where he got a B.Sc. and an M.Sc. in Computer Science. While at UnB\, he worked with Prof. Genaína Rodrigues researching dependable distributed systems\, more specifically\, implied scenarios.
URL:https://www.cecs.uci.edu/event/reasoning-about-emergent-behaviors-at-runtime/
LOCATION:DBH 4011\, Donald Bren Hall\, University of California\, Irvine\, Irvine\, CA\, 92617\, United States
CATEGORIES:PhD Defenses
END:VEVENT
END:VCALENDAR