Portrait: Aviral Shrivastava

Aviral Shrivastava

Professor, School of Computing Informatics and Decision Systems Engineering, School of Electrical Computer and Energy Engineering, Arizona State University.

Biography

Aviral Shrivastava is a full Professor in the School of Computing and Augmented Intelligence (SCAI) at the Arizona State University, where he established and heads the Make Programming Simple Lab. He completed his Ph.D. in Information and Computer Science and from the University of California, Irvine, and bachelor’s in Computer Science and Engineering from IIT Delhi.

Prof. Shrivastava’s main theme of research in on making programming simple for embedded and cyber-physical systems. Prof. Shrivastava and his students work on topics in computer architecture, compilers, machine learning accelerator frameworks, error-tolerant computing, cyber-physical systems, intelligent transportation and autonomous vehicles and quantum computing.

Prof. Shrivastava has co-authored 1 book and has contributed chapters in 4 books. He has more than 200 articles and conference papers in top embedded system journals and conferences, like DAC, ESWEEK, ACM TECS, and ACM TCPS. His papers have received several awards, including nomination for best paper at DAC 2017, best student paper award at VLSI 2016, second highest ranked paper at LCTES 2010, and best paper candidate ASPDAC 2008. He has published more than a dozen papers in DAC (the top conference in the field). Overall, his works have received more than 3800 citations, growing at the rate of over 300 citations every year. More than 20 of his papers have been cited more than 50 times and more than 100 of his papers have been cited more than 10 times. Overall, his h-index[1] is 33 (reference Google Scholar). His inventions have been granted 7 patents, and 3 more applications are pending. Prof. Shrivastava is the recipient of the prestigious 2010 NSF CAREER award. His student’s theses were awarded CIDSE outstanding Ph.D. thesis award in 2021 and 2017, and outstanding Master’s thesis awards in 2010, 2017, and 2022. Prof. Shrivastava’s research efforts have been supported by federal agencies (NSF, DOE, NIST), state agencies (SFAZ), and industry.

Prof. Shrivastava is currently serving as the Editor-in-Chief of IEEE ESL (Embedded Systems Letters). He was the deputy EIC of IEEE ESL from 2019-2023. He was the General Chair of Embedded Systems Week (ESWEEK) 2022, which is the top event in the field of Embedded Systems, comprising of 3 conferences, 2 symposia and 7 workshops, 10 education classes, 7 tutorials, special sessions, Ph.D. forum, and student research competitions. His service has been recognized by IEEE through the 2023 IEEE CEDA Outstanding Service Award. He is currently serving as the General Chair of Languages Compilers, Theory and tools for Embedded Systems (LCTES) 2024. He is also associate editor for ACM Transactions of Cyber-Physical Systems (ACM TCPS), ACM Transactions Embedded Computing Systems (ACM TECS), and the IEEE Transactions on Computer Aided Design (IEEE TCAD). Prof. Shrivastava has organized and published 8 special issues in top journals like ACM TECS, IEEE TMSCS, ACM TCPS, IEEE D&T and Springer. Previously he has served as the program chair of CODES+ISSS 2017 and 2018, LCTES 2019, and chair of the Design and Applications track of RTSS 2020. Prof. Shrivastava also serves on the steering committee of LCTES, CODES+ISSS and ESWEEK. Prof. Shrivastava also serves as the Graduate Program Chair of CS programs at ASU.

Research: [pubs@ASU] [Google Scholar] [dblp] [ResearchGate][YouTube]

Teaching: [teaching@ASU] [RateMyProfessors]