Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

Vipin Kumar Kukkala received his Ph.D. in Electrical Engineering from Colorado State University, USA, in 2022, and his Bachelor of Technology (B. Tech.) degree in Electronics and Communications Engineering from Jawaharlal Nehru Technological University, Hyderabad, India, in 2013. He is currently working as a Senior High-Performance Compute Architect at NVIDIA. In the past, he worked as a graduate research assistant at Embedded, High Performance, and Intelligent Computing (EPIC) Laboratory and as a research associate intern at Hewlett Packard Enterprise (HP Labs). His research interests include the design of next-generation automotive networks, security in cyber-physical systems, machine learning, and the design of large-scale heterogeneous systems. He has published multiple research papers (journals: 6, conferences: 6, total: 12) in peer-reviewed journals including ACM Transactions on Embedded Computing Systems (TECS), IEEE Transactions on Computer-Aided Design of IntegratedCircuits and Systems (TCAD), IEEE Transactions on Vehicular Technology (TVT), ACM Transactions on Design Automation of Electronic Systems (TODAES), IEEE Consumer Electronics Magazine (CEM), and various conferences including IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), IEEE/ACM International Symposium on Network-on-Chip (NOCS), IEEE Transportation Electrification Conference (TEC), IEEE/ACM Programming Environments for Heterogeneous Computing (PEHC), and IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling. He also contributed to two book chapters and co-authored a U.S. Patent.Sudeep Pasricha is a Walter Scott Jr. College of Engineering Professor in the Department of Electrical and Computer Engineering, the Department of Computer Science, and the Department of Systems Engineering at Colorado State University. He is Director of the Embedded, High Performance, and Intelligent Computing (EPIC) Laboratory and the Chair of Computer Engineering. Prof. Pasricha received the B.E. degree in Electronics and Communication Engineering from Delhi Institute of Technology, India, in 2000, and his Ph.D. in Computer Science from the University of California, Irvine in 2008. He has received funding for his research from various sponsors such as the NSF, SRC, AFOSR, ORNL, DoD, Fiat-Chrysler, HPE, and NASA. He has co-authored multiple books and published more than 250 research articles in peer-reviewed conferences and journals. He is a Senior Member of the IEEE (Computer Society) and Distinguished Member of the ACM. Prof. Pasricha's research broadly focuses on software algorithms, hardware architectures, and hardware-software co-design for energy-efficient, fault-tolerant, real-time, and secure computing. These efforts target multi-scale computing platforms, including embedded and Internet of Things (IoT) systems, cyber-physical systems, mobile devices, and datacenters. He has received 16 Best Paper Awards and Nominations at various IEEE and ACM conferences, including at DAC, ASPDAC, NOCS, GLSVLSI, SLIP, AICCSA, and ISQED. Other notable awards include: the 2022 ACM Distinguished Speaker selection, the 2019 George T. Abell Outstanding Research Faculty Award, the 2016-2018 University Distinguished Monfort Professorship, 2016-2019 Walter Scott Jr. College of Engineering Rockwell-Anderson Professorship, 2018 IEEE-CS/TCVLSI mid-career research Achievement Award, the 2015 IEEE/TCSC Award for Excellence for a mid-career researcher, the 2014 George T. Abell Outstanding Mid-career Faculty Award, and the 2013 AFOSR Young Investigator Award. He is currently the Vice Chair of ACM SIGDA and a Senior Associate Editor for the ACM Journal of Emerging Technologies in Computing (JETC). He is an Associate Editor for multiple other IEEE and ACM journals. He has been an Organizing Committee Member of several IEEE/ACM conferences, and has also served as General Chair and Program Chair for many of these conferences. He holds an affiliatefaculty member position at the Center for Embedded and Cyber-Physical Systems at UC Irvine. He has also received multiple awards for professional service, including the 2019 ACM SIGDA Distinguished Service Award, the 2015 ACM SIGDA Service Award, and the 2012 ACM SIGDA Technical Leadership Award.

Vipin Kumar Kukkala於2022年獲得美國科羅拉多州立大學電機工程博士學位，並於2013年獲得印度海得拉巴的賈瓦哈拉爾·尼赫魯科技大學電子與通信工程學士學位。目前，他在NVIDIA擔任高效能計算架構師。過去，他曾在嵌入式、高效能與智能計算（EPIC）實驗室擔任研究生研究助理，並在惠普企業（HP Labs）擔任研究助理實習生。他的研究興趣包括下一代汽車網路設計、網路物理系統的安全性、機器學習以及大規模異構系統的設計。他在同行評審的期刊上發表了多篇研究論文（期刊：6篇，會議：6篇，總計：12篇），包括ACM Transactions on Embedded Computing Systems (TECS)、IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)、IEEE Transactions on Vehicular Technology (TVT)、ACM Transactions on Design Automation of Electronic Systems (TODAES)、IEEE Consumer Electronics Magazine (CEM)等，以及多個會議，包括IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC)、IEEE/ACM International Symposium on Network-on-Chip (NOCS)、IEEE Transportation Electrification Conference (TEC)、IEEE/ACM Programming Environments for Heterogeneous Computing (PEHC)和IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling。他還貢獻了兩個書章並共同擁有一項美國專利。

Sudeep Pasricha是科羅拉多州立大學電子與計算機工程系、計算機科學系及系統工程系的Walter Scott Jr.工程學院教授。他是嵌入式、高效能與智能計算（EPIC）實驗室的主任及計算機工程系的系主任。Pasricha教授於2000年獲得印度德里科技學院電子與通信工程學士學位，並於2008年在加州大學爾灣分校獲得計算機科學博士學位。他的研究獲得了來自多個贊助機構的資助，如NSF、SRC、AFOSR、ORNL、國防部、菲亞特-克萊斯勒、HPE和NASA。他共同撰寫了多本書籍，並在同行評審的會議和期刊上發表了超過250篇研究文章。他是IEEE（計算機學會）的資深會員及ACM的傑出會員。Pasricha教授的研究廣泛集中於軟體演算法、硬體架構及硬體-軟體共同設計，旨在實現能源高效、容錯、即時及安全的計算。這些努力針對多尺度計算平台，包括嵌入式系統和物聯網（IoT）系統、網路物理系統、行動裝置及數據中心。他在多個IEEE和ACM會議上獲得了16項最佳論文獎及提名，包括DAC、ASPDAC、NOCS、GLSVLSI、SLIP、AICCSA和ISQED等會議。其他顯著獎項包括：2022年ACM傑出演講者選拔、2019年喬治·T·阿貝爾傑出研究教師獎、2016-2018年大學傑出蒙福特教授獎、2016-2019年Walter Scott Jr.工程學院洛克威爾-安德森教授獎、2018年IEEE-CS/TCVLSI中期研究成就獎、2015年IEEE/TCSC中期研究者卓越獎、2014年喬治·T·阿貝爾傑出中期教師獎及2013年AFOSR青年研究者獎。他目前是ACM SIGDA的副主席及ACM Journal of Emerging Technologies in Computing (JETC)的資深副編輯，並擔任多本其他IEEE和ACM期刊的副編輯。他曾是多個IEEE/ACM會議的組織委員會成員，並擔任過這些會議的總主席和程序主席。