MEMBERS

Post-doctoral Researchers

	Seyran Saeedi, PhD Seyran received her Ph.D. in Computer Science from Virginia Commonwealth University in Dec 2020. Seyran's research mostly focuses on quantum algorithms for machine learning and AI applications. She joined UCSB in March 2021 and is currently working on tensor-networks for quantum machine learning and quantum algorithms for some combinatorial problems in AI.
	Junnan Shan, PhD Junnan Shan received her Ph.D. in the Department of Electronics and Telecommunications from Politecnico di Torino, Italy in March 2021. Her research interests focus on electronic design automation, system-level design, low-power, and high-performance computing, and high-level synthesis. She joined UCSB in September 2021 and is currently working on tensorized on-device training of machine learning algorithms.
	Zi Yang, PhD Zi received his Ph.D. in mathematics from the University of California San Diego. His research work focused on optimization and tensors. He joined UCSB in September 2021 and is currently working on low-precision tensor optimization algorithms for machine learning. .

Graduate Students

	Cole Hawkins, PhD student in Math Google Scholar Cole received his B.A. degree in Mathematics from Amherst College, Amherst, MA, in 2016. He started his gradaute study in the Math Department at UCSB in 2016, and joined our group in Fall 2017. He is interested in tensor computation, uncertainty quantification, and Bayesian inference. Publications: C17 (ICDM 2018), C23 (ICCAD 2019), C27 (ICLR HAET 2021), J36 (Neurocomputing), J38 (SIMODS) Visiting/Intern Experience: summer intern at Intel Research Labs (summer & fall 2019), Amazon AWS (Spring 2021), Facebook (Summer 2021)
	Zichang He, MSc/PhD student in ECE Google Scholar Zichang received his B.Eng. degree in Detection, Guidance and Control Technology from the Northwestern Polytechnical University of China in 2018. He joined UCSB in fall 2018, and he is interested in uncertainty quantification and statistical inference for tensor computation. Publications: C22 (ICCAD 2019), C24 (EPEPS 2020), C38 (ACES), J37 (T-CPMT), J39 (TCAD) Awards: EPEPS'2020 Best Student Paper Award, ECE Outstanding TA Award in 2020 & 2021, IEE Excellence in Research Fellowship Visiting/Intern Experience: visiting research with Argonne National Labs (summer 2021), research Intern with KBR Quantum AI Labs (Fall 2021)
	Jianyu Xu, MSc/PhD student in Computer Science Jianyu received his B.Eng. degree in Measurement & Control Technology and Instrument from Tsinghua University in China, in the year 2019. He joined UCSB in fall 2019, and he is interested in tensor networks, tensor calculus, dynamic pricing and computational complexity. He is also good at combinatorics. He is co-advised by Prof. Zhang and Prof. Yu-Xiang Wang.
	Zhuotong Chen, MSc/PhD student in ECE Google Scholar Zhuotong received his B.S. in Electrical and Computer Engineering from University of Manitoba, MB, Canada, in 2018. He joined us in spring 2019 firstly as a visiting student, then as a MSc/ PhD student. He previously worked on tensor methods for computational electromagnetic. Currently he is working on robustness, safety and stability of machine learning from ODE/PDE and optimal control perspectives. Publications: J29 (TMMT 2019), C25 (ICLR 2021), C26 (AISTATS 2021)
	Yifan Yang, MSc/PhD student in Computer Science Google Scholar Yifan received his B.Eng. degree in Electronic and Information Engineering from the Huazhong University of Science and Technology of China in 2021. He joined UCSB in fall 2021, and he is interested in online Bayesian inference.
	Xinling Yu, PhD student in ECE Xinling received his B.S. degree in applied mathematics from Beijing University of Posts and Telecommunications in 2019 and his M.A. degree in applied mathematics and computational science from University of Pennsylvania in 2021. He joined UCSB in fall 2021, and he is interested in computational mathematics and data-driven modeling. .

Undergraduate Researchers

Visiting Students/Scholars

FORMER MEMBERS

Postdoc scholar:

Chunfeng Cui (11/2017-03/2020)

Topics: (1) uncertainty quantification for electronic and photonic design automation, (2) tensor methods for machine learning; Publications: C16 (ICCAD 2018), C18 (EPEPS 2018), J25 (T-CPMT 2019), C20 (NEMO 2019), J28 (TCAD), C23 (ICCAD 2019), J30 (TCAD), J31 (SIMODS); Awards: EPEPS'2018 Best Paper Award, Rising Stars in Computational and Data Sciences of 2019 (one of 32 awardees in US), Rising Stars in EECS, Zhong Jiaqing Math Prize from Chinese Math Society (4 awardees every other year), IEEE T-CPMT Best Paper Award in 2020; Visiting/Intern Experience: visiting scholar at Skoltech (with Prof. Ivan Oseledets).

Sonam Lama (11/2020-09/2021)

Topics: Bayesian sampling and AI fairness

Graduate Students:

Ahmed Wahba	Ahmed's thesis adviser is Prof. Li-C. Wang, and he got his PhD in ECE in 2019. Ahmed worked with us in 2018. Our collaborative work on tensor methods for semiconductor yield data analysis lead to the body section of his PhD dissertation. Currently he is a silicon design engineer at AMD. Publications: C19 (VTS 2019)
Shruthi Menoth	Shruthi Menoth received her MSc degree in Electrical and Computer Engineering from UCSB in 2019. Her master project was focused on tensor compression for machine learning. Currently she is working with Qualcomm.
Huishan Chen	Huishan received her MSc degrees in Electrical and Computer Engineering from UCSB in 2020. She worked on verification and control techniques for autonomous dynamic systems with uncertainties.
Kaiqi Zhang	Kaiqi Zhang worked with us on algorithm/hardware co-design for machine learning in 09/2018-03/2020. Publications: C21 (ICCAD 2019), C27 (ICLR HAET 2021); Intern Experience: Amazon (summer 2020)
Kaikai Liu	Kaikai Liu used to work with us in the academic year 2018/2019, and his research topic was uncertainty-aware and data-driven techniques for photonic design automation. He is working on photonic design at UCSB. Publications: J29 (TCAD)

Visiting Scholars/Students:

Cong Zou	Cong is received her B. Eng degree in Electronic Engineering at Tsinghua University in 2019. She joined us as a visiting undergraduate researcher in Summer 2018 and worked on tensor methods for machine learning. Currently she is a PhD student at Tsinghua University.
Zhongming Chen	Zhongming received his PhD degree in computational mathematics from Nankai University in 2015. He was a postdoc fellow with the University of Hong Kong in 2016. He is an associate professor with Hangzhou Dianzi University. He worked at UCSB as a visiting scholar from Jan. to Dec. of 2020. He is interested in numerical optimization for tensor computation.
Lu Ye	Lu received her B.S. and Ph.D degrees in probability and statistics from Nankai University, China. She is a faculty member with Zhejiang Sci-Tech University, China. She worked at UCSB as a visiting scholar from Jan. to Dec. of 2020. She is interested in Bayesian statistics.
Chenhui Deng	Chenhui received his B.S. degree from Huazhong University of Science and Technology. He worked with us as an intern student in the summer of 2017. Currently he is a PhD student of ECE at Cornell University.
Ziming Liu (Google Scholar)	Ziming receive his bachelor’s degree in physics at Peking University in 2020. He joined us as a summer intern in 2019. During his summer intern, we proposed a novel Hamiltonian Monte Carlo algorithm inspired from quantum mechanics, and the paper draft is available at here. Currently he is a PhD student of Physics at MIT, where he works on the interface of artificial intelligence (AI) and physics.

Undergraduate Researchers:

Weiyun Jiang	Weiyun received his B. Sc degree in ECE at UCSB in 2020. He joined our group in the summer of 2018, and worked on a set of topics including electronic design automation, algorithm/hardware co-design for tensor data analysis, quantum circuit simulation, and machine learning for electromagnetic simulation. Currently he is a graduate student of Electrical Engineering at Stanford University. Awards: Outstanding Seniors of Class 2020 in College of Engineering (one awardee selected from the EE program); Publications: J32 (TCAD)
Xiyuan Zhang	Xiyuan receive her B. Eng. degree in ECE at UCSB in 2020. She joined us in Summer 2018 to work on FPGA acceleration of machine learning algorithms. Now she is a graduate student of ECE at Carnegie Mellon University (CMU). Publications: C21 (ICCAD 2019), C27 (ICLR HAET 2021); Visiting/Intern Experience: summer intern at Xilinx, Beijing (2019), summer intern at Qualcomm (2020).
Max Gershman	Max received his B.A. degree in math at UCSB in 2019. He worked with us in 2018 on uncertainty quantification with correlated non-Gaussian random parameters. Now he is a portfolio analyst at Wells Fargo. Publications: C18 (EPEPS 2018); Award: EPEPS'2018 Best Paper Award
Jiali Luan	Jiali received her B.Sc. in Math at UCSB in 2018. She joined us in summer 2017 as an undergraduate researcher and worked on tensor methods for semiconductor data analytics. She was a graduate student of Applied Statistics at University of Michigan. Publications: J27 (TCAD 2019)