Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
暫譯: 汽車網路物理系統的機器學習與優化技術

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 年在美國科羅拉多州立大學獲得電機工程博士學位，並於 2013 年在印度海得拉巴的賈瓦哈拉爾·尼赫魯科技大學獲得電子與通信工程的技術學士（B. Tech.）學位。他目前在 NVIDIA 擔任高效能計算架構師。過去，他曾在嵌入式、高效能和智能計算（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絡的設計、網絡物理系統的安全性、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，會議：6，總計：12），包括 ACM 嵌入式計算系統期刊（TECS）、IEEE 集成電路與系統計算輔助設計期刊（TCAD）、IEEE 車輛技術期刊（TVT）、ACM 電子系統設計自動化期刊（TODAES）、IEEE 消費電子雜誌（CEM），以及各種會議，包括 IEEE/ACM 亞洲及南太平洋設計自動化會議（ASP-DAC）、IEEE/ACM 網絡晶片國際研討會（NOCS）、IEEE 交通電氣化會議（TEC）、IEEE/ACM 異構計算編程環境研討會（PEHC）和 IFAC 引擎與動力傳動控制、模擬與建模研討會。他還貢獻了兩章書籍並共同擁有一項美國專利。

Sudeep Pasricha 是科羅拉多州立大學電機與計算機工程系、計算機科學系及系統工程系的沃爾特·斯科特大學工程學教授。他是嵌入式、高效能和智能計算（EPIC）實驗室的主任及計算機工程系的系主任。Pasricha 教授於 2000 年在印度德里技術學院獲得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在軟體演算法、硬體架構以及針對能源效率、容錯性、即時性和安全計算的硬體-軟體共同設計上。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、網絡物理系統、移動設備和數據中心。他在各種 IEEE 和 ACM 會議上獲得了 16 項最佳論文獎和提名，包括 DAC、ASPDAC、NOCS、GLSVLSI、SLIP、AICCSA 和 ISQED。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、2016-2019 年沃爾特·斯科特大學工程學院洛克威爾-安德森教授、2018 年 IEEE-CS/TCVLSI 中期研究成就獎、2015 年 IEEE/TCSC 中期研究人員卓越獎、2014 年喬治·T·阿貝爾中期傑出教師獎，以及 2013 年 AFOSR 年輕研究者獎。他目前是 ACM SIGDA 的副主席及 ACM 新興計算技術期刊（JETC）的資深副編輯。他還是多本其他 IEEE 和 ACM 期刊的副編輯。他曾擔任多個 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。他在加州大學爾灣分校的嵌入式與網絡物理系統中心擔任附屬教職。他還因專業服務獲得多項獎項，包括 2019 年 ACM SIGDA 傑出服務獎、2015 年 ACM SIGDA 服務獎和 2012 年 ACM SIGDA 技術領導獎。