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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: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: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: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: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: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: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: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: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: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: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;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;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: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: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;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: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: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: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: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;VALUE=DATE:20240301
DTEND;VALUE=DATE:20240302
DTSTAMP:20251113T230929Z
CREATED:20251113T230929Z
LAST-MODIFIED:20251113T230929Z
UID:16581-1709251200-1709337599@www.cecs.uci.edu
SUMMARY:Krichmar’s Research with AI Featured on Medium
DESCRIPTION:A groundbreaking project by Professor Jeff Krichmar and the Neurorobotics Lab explored methods to bring primary consciousness into machines using Gerald Edelman’s Extended Theory of Neuronal Group Selection. \nFollowing the theory\, which suggests that consciousness emerges through interactions among neuronal groups\, similar to the process of natural selection\, Prof. Krichmar and team aimed to mimic the evolutionary development of consciousness in artificial intelligence. The Neurorobotics Lab have initiated environments that simulate neuronal group selections\, creating AI that can recognize its environment\, make predictions\, and learn from interactions without human intervention. \nProf. Krichmar and team’s dictation and achievements were featured on popular article platform Medium.
URL:https://www.cecs.uci.edu/event/krichmars-research-with-ai-featured-on-medium/
LOCATION:CA
CATEGORIES:Awards
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2025/11/krichmar.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240301
DTEND;VALUE=DATE:20240302
DTSTAMP:20251113T231149Z
CREATED:20251113T231132Z
LAST-MODIFIED:20251113T231149Z
UID:16586-1709251200-1709337599@www.cecs.uci.edu
SUMMARY:NDSS’24 Best Technical Poster Award
DESCRIPTION:At the Network and Distributed System Security Symposium (NDSS ‘24)\, PhD student Fayzah Alshammari received Best Technical Poster Award for paper “On the Cyber-Physical Security of Commercial Indoor Delivery Robot Systems.” Alshammari’s research aimed to improve security through analysis on systems in real-world commercial settings. Alshammari is under the advisory of Professor Alfred Chen. \n 
URL:https://www.cecs.uci.edu/event/ndss24-best-technical-poster-award/
LOCATION:CA
CATEGORIES:Awards
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2025/11/Alshammari.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:20240402T120000
DTEND;TZID=America/Los_Angeles:20240402T130000
DTSTAMP:20240502T215645Z
CREATED:20240502T215253Z
LAST-MODIFIED:20240502T215645Z
UID:16268-1712059200-1712062800@www.cecs.uci.edu
SUMMARY:Fairness-Aware learning over Graphs
DESCRIPTION:Title: Fairness-Aware learning over Graphs \nSpeaker: Oyku Deniz Kose \nDate and Time: Tuesday\, April 2nd\, 12:00pm \nLocation: EH 2430 \nAbstract: \nGraphs are powerful mathematical tools that can represent complex real-world systems\, such as financial markets and social networks\, and the relations within them. Due to this\, machine learning (ML) over graphs has attracted significant attention recently\, and showed promising success in various applications. Despite the success\, the large-scale deployment of graph-based ML algorithms in real-world systems relies heavily on how socially responsible they are. While graph-based ML models nicely integrate the nodal data with the connectivity\, they also inherit potential unfairness. Using such ML models may therefore result in inevitable unfair results in various decision- and policy-making in the related applications. While fairness and explainability have attracted increasing attention in responsible ML\, they are mostly under-explored in the graph domain. Motivated by this\, in this talk\, we first focus on the analysis of sources of bias in graph-based learning and then present fairness-aware learning algorithms that combat the identified bias sources. In addition\, we will talk about certain real-word challenges that need to be considered in addition to fairness\, e.g.\, efficiency\, convergences. \nBiography: \nOyku Deniz Kose received the B.S. and M.S. degrees in electrical and electronics engineering from Bogazici University\, Istanbul\, Turkey\, in 2017 and 2020\, respectively. She is currently working towards a Ph.D. degree with the Department of Electrical Engineering and Computer Science\, University of California Irvine\, Irvine\, CA\, USA. She received the Samueli Endowed Fellowship in 2021 and was a research intern at Google in 2023. Her research mainly focuses on trustworthy machine learning with a specific interest in graph-based learning.
URL:https://www.cecs.uci.edu/event/fairness-aware-learning-over-graphs/
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/Kose-1.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;VALUE=DATE:20240429
DTEND;VALUE=DATE:20240430
DTSTAMP:20251113T232149Z
CREATED:20251113T232149Z
LAST-MODIFIED:20251113T232149Z
UID:16600-1714348800-1714435199@www.cecs.uci.edu
SUMMARY:Levorato Wins Emerging Innovator of Year Award
DESCRIPTION:Assistant Professor Marco Levorato won Beall Applied Innovation Center’s 2023 UCI Early Career/Emerging Innovator of Year Award. The award recognizes Prof. Levorato’s efforts to “drive innovative research into socially and commercially important applications.” Prof. Levorato’s research focuses on balancing data transfer security and cost for mobile AI applications. Along with the Beall Applied Innovation Center\, Prof. Levorato is working on distributing his findings for real world applications. \n 
URL:https://www.cecs.uci.edu/event/levorato-wins-emerging-innovator-of-year-award/
LOCATION:CA
CATEGORIES:Awards
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2025/11/levorato.png
END:VEVENT
END:VCALENDAR