Weiwen Jiang

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Weiwen is currently on job market for a faculty position starting in Fall 2021.

Weiwen’s JQub lab is recuriting JQuber (Ph.D. students) who are interested in Q&A:
     [Q] Quantum Machine Learning
     [A] HW/SW Co-Design AutoML
     [X] Drop me an if interested (Ad Date: Jan. 17, 2021)


Dr. Weiwen Jiang is currently a Post-Doctoral Researcher at the University of Notre Dame. He received his Ph.D. from Chongqing University in 2019. From 2017 to 2019, he was a research scholar in the Department of Electrical and Computer Engineering at the University of Pittsburgh.

During his Ph.D. work, Weiwen Jiang published more than 50 research articles in refereed international conferences and premier journals, including 10+ IEEE/ACM Transactions papers. His current works on co-exploration of hardware and neural architecture are nominated for the best paper nominations in DAC’19, CODES+ISSS’19, and ASP-DAC’20. Basd on these research works, his team won Top Winning Awards at IEEE Services Hackathon. In addition, his work on this topic attracts great research interests from the industry; specifically, he got resarch funds from industry via NSF I/UCRC as PI and the Facebook Research Award as Co-PI. In addition, in his first postdoc year, he received research funds from NSF IIS as Co-PI. Furthermore, he built the first co-design framework, QuantumFlow, to demonstrate the quantum advantage in designing neural network onto a quantum computer, which is published in Nature Communications.

Dr. Jiang serves as Technical Program Committee (TPC) member in DAC’21, ASP-DAC’21, ASAP’21, GLSVLIS’20-21, SAC’20-21, ISVLSI’20, SRF@ASP-DAC’20, LBR@DAC’20, AEC@RTSS19. He is the reviewer of many premier journals, including IEEE Transactions on Computers (TC), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), IEEE Transactions on Very Large Scale Integration (TVLSI), IEEE Transactions on Emerging Topics in Computing (TETC), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), ACM Transactions on Design Automation of Electronic Systems (TODAES), etc.

He was the recipient of the Best Paper Award in NVMSA’15 and ICCD’17 , the Best Paper Nomination in ASP-DAC’16, DAC’19, CODES+ISSS’19, and ASP-DAC’20, and the China National Scholarship (Ph.D.). He received grants from Technical University of Munich (TUM) to attend Research Opportunities Week (ROW) in 2020, grants from Chinese Government Scholarship to visit the University of Pittsburgh, grants from IEEE CEDA to attend ESWEEK’19, and grants from ACM/Sigda to attend HALO@ICCAD’19, FPGA’19, PhD Forum@DAC’18, SRC@ICCAD’17.