People


We come from around the world and join the group at different times. Yet all of us are excited to work on systems and algorithms that are intensely challenging and breathtakingly beautiful.

Contents

Wanyu Lin, Ph.D. Candidate

Wanyu is a fifth-year Ph.D candidate in the Department of Electrical and Computer Engineering at the University of Toronto. She received her B.Engr. degree in 2012 from Huazhong University of Science and Technology, China and her M.Phil. degree in 2015 from the Department of Computing, Hong Kong Polytechnic University.

Wanyu's research interests include but not limited to semi-supervised learning, graph neural networks and few-shot learning, searchable encryption in the cloud.

Wanyu enjoys reading, singing and jogging in her leisure time. She loves to explore new places and enjoys the natural beauties in the form of daily jogging. She have successfully completed her first half-marathon in the 2014 Standard Chartered Hong Kong Marathon and her first full-marathon in Toronto Scotialbank Marathon, 2017.

Hao Wang, Ph.D. Candidate

Hao is a fifth-year Ph.D. candidate in the iQua group. He received both of his B.E. and M.E. degrees from Shanghai Jiao Tong University, in 2012 and 2015 respectively. During his Master’s studies, he worked as a research assistant in the Hong Kong University of Science and Technology for 14 months.

Hao’s research interests include datacenter networking, distributed computing and software defined networking. He is very fond of elegant and practical solutions targeting real-world problems, and he enjoys working with his favorite MacBook tremendously. He co-founded a start-up with friends, and worked as an intern at both Intel and Microsoft. Over time, pursuing a Ph.D. degree and thinking independently became more attractive to him.

In his spare time, Hao likes doodling with his iPad and playing badminton. Inspired by Baochun, he runs regularly with a goal of finishing a full marathon during his Ph.D. studies.

Chen Ying, Ph.D. Candidate

Chen is currently a first-year Ph.D. student in the iQua research group at the Department of Electrical and Computer Engineering, University of Toronto. She received her B.Engr. degree from School of Computer Science, Wuhan University, Wuhan, China, 2017.

In her undergraduate years, Chen achieved excellent academic performance, ranking top 1% among four hundred students. In the summer of 2016, she took an internship at the University of Toronto, receiving an opportunity to build robots that can track and monitor signs of Alzheimer’s disease or dementia. That was when she fell in love with the city and the university, and made up her mind to continue her graduate studies here.

She enjoys travelling and photography in her leisure time.

Hao Lan, Ph.D. Candidate

Hao is a second-year Ph.D. student in the iQua research group at the Department of Electrical and Computer Engineering, University of Toronto. He received both of his B.E. and M.E. degrees from Xidian University, Xi'an, China, in 2015 and 2018 respectively.

Hao's research interests include datacenter networking, distributed computing, and software defined networking. Currently, he is working on optimizing the machine learning cluster using reinforcement learning.

Salma Emara, Ph.D. Student

Salma is a first-year Ph.D. student. She joined iQua group in September 2018 as a MASc student and transferred to the Ph.D. program in September 2019. She received her BASc in Electronics and Communications Engineering from the American University in Cairo, Cairo, Egypt in June 2018.

Salma ranked top of her graduating class in June 2018. Out of her undergraduate thesis project, Salma published a paper in an IEEE conference. In 2013, she ranked top in the world in Physics IGCSE Examinations. Salma's current research interests focus on finding practical solutions to networking problems using Deep Reinforcement Learning.

In her leisure time, Salma enjoys long walks in the City of Toronto.

Tianhang Zheng, Ph.D. Student

Tianhang is a first-year Ph.D. Student in the Department of Electrical and Computer Engineering at the University of Toronto. He received his B. Eng. degree and M. Sc. Degree from Peking University and University at Buffalo, respectively. In his Master's studies, he has published several top-conference and journal papers.

Currently, his research interests focus on statistical learning theory, trustworthy machine learning, and computer vision.

Sijia Chen, Ph.D. Student

Sijia is a first-year Ph.D. Student in the Department of Electrical and Computer Engineering at the University of Toronto. He received his B.Engr. degree and M. Sc. Degree in Telecommunication Engineering from Xidian University, China. During this period, he worked as an intern in SUTD (Singapore) and China Mobile while studying in NTU (Singapore). Due to his excellent academic performance while pursuing his Master's degree, he won a national scholarship, several first-class scholarships and the title of outstanding graduates.

His research interests focus on multi-modal learning, Bayesian learning, and computer vision. Currently, he is trying to solve problems in cross-modal data alignment and generation by exploiting Information Geometry.

Yufei Kang, M.A.Sc. Student

Yufei is a first-year M.A.Sc. student in the Department of Electrical and Computer Engineering at the University of Toronto. She received her B.Engr. degree in Telecommunication Engineering in 2019 from Xidian University, China. In her undergraduate years, Yufei worked hard and performed well in her studies. In the summer of 2018, she worked as an intern at the Department of Cloud Computing and Big Data Research and Development at China Unicom Cloud Computing Ltd. Co. .

Currently, her research interests focus on applications of Deep Reinforcement Learning.

Guiyan Liu, Visiting Ph.D. Student

Guiyan is a visiting student and will stay in the iQua Group for a year (February 2019 — February 2020). She is currently working toward the Ph.D. degree in Southwest University, Chongqing, China. She received the B.E. and M.E. degrees from Southwest University in 2014 and 2017, respectively. In her Ph.D. studies, she worked as a research assistant in the Department of Computing, Hong Kong Polytechnic University for four months.

Guiyan's research interests include traffic measurement in data center networks and software defined networking. In her spare time, she enjoys traveling and outdoor sports.

Ruixin Yao, Visiting Ph.D. Student

Ruixin is a one-year visiting student in the Department of Electrical and Computer Engineering at the University of Toronto from September 2019 to August 2020. She received B.E. degree from Xidian University and she is now a Ph.D. candidate in the School of Cyber Engineering at Xidian University. Her research interests include privacy protection.

Ruixin enjoys reading and jogging in her spare time and she has completed her first half-marathon in 2018. She loves to do handicrafts very much, especially making flowers with different materials.