Mitra (external) from University College London, UK. ( Distinction: "Defense and thesis passed as is").Ĭommittee members: Hao Zhang and Ghassan Hamarneh.Įxaminers: Ping Tan (internal) and Niloy J.
thesis: Topology-Varying Shape Matching and Modeling. (Best Doctoral Dissertation in Computer Graphics in Canada) thesis: Sub-Scene Level Analysis and Synthesis of 3D Indoor Scenes ( Distinction: "Defense and thesis passed as is").Ĭommittee members: Hao Zhang and Ze-Nian Li.Įxaminers: Yasu Furukawa (internal) and Oliver Deussen (external) from University of Konstanz, Germany. MITACS Globalink Research Award - Intership at Microsoft Research Asia, September 2015 - Feburary 2016. Previously, computer vision research scientist at Huawei Canada, Burnaby, BC. Now Associate Professor at School of Artificial Intelligence, Jilin University, China. thesis: Learning to Correspond and Compose Shape Structures.Ĭommittee members: Hao Zhang and Daniel Cohen-Or.Įxaminers: Manolis Savva (internal) and Hongbo Fu (external) from City University of Hong Kong, China. of Computer Science, National University of Defense Technology (NUDT), China.Ĭhina Scholarship Council Four-Year PhD Scholarship. thesis: Learning Shape-to-Shape Transformation ( Distinction: "Defense and thesis passed as is").Ĭommittee members: Hao Zhang, Hui Huang, and Daniel Cohen-Or.Įxaminers: Manolis Savva (internal) and Matthias Zwicker (external) from University of Maryland, USA. Now research scientist, NVidia Toronto AI Lab.Īdobe Internship, June - September, 2019.Ĭhina Scholarship for Outstanding Self Finance Students Abroad, 2018. thesis: Learning to Model 3D Scenes and Articulated Objects ( Distinction: "Defense and thesis passed as is").Ĭommittee members: Hao Zhang and Manolis Savva.Įxaminers: Daniel Cohen-Or (internal), from Tel-Aviv University and as adjunct professor at SFU, and Qixing Huang (external) from University of Texas at Austin. M.Tech., Indian Institute of Technology, Gandhinagar, India, 2016.īest Paper Award at the CVPR 2020 Workshop on Text and Documents in the Deep Learning Era.Īmazon Internship, Vancouver, Fall 2022 - Spring 2023.Īmazon Internship, December 2018 - March 2019. thesis: Neural Mesh Reconstruction ( Distinction: "Defense and thesis passed as is").Ĭommittee members: Hao Zhang and Yasu Furukawa.Įxaminers: Andrea Tagliasacchi (internal) and Matthias Niessner (external) from Technical University of Munich. NVIDIA Graduate Fellowship Finalist 2021. Now research scientist, Adobe Research, Seattle.īest Paper Award Candidate (1 of 12), CVPR 2023. M.Sc., SFU, 2019 B.Sc., Shanghai Jiaotong University, China. Graduated students and other research personnel supervised program (September 2021 - April 2023).ī.Sc., Institute of Engineering & Management (IEM), MAKAUT, India.
Ph.D., May 2023 - current, after direct transfer from M.Sc. in ML and Computer Vision, Australian National University (ANU). and M.Sc., Nanjing University, China, 2019.Īmazon Internships, Vancouver, Summer-Fall 2022, Summer 2023. Special Graduate Entrance Scholarship (SGES), $10K.Ĭommittee members: Ali Mahdavi-Amiri (co-senior supervisor).ī.Sc. M.Sc., University of Michigan, 2018 B.Sc., Nanjing University, China, 2016. M.Sc., Indian Institute of Technology, Gandhinagar, India, 2017. SFU Graduate Dean's Entrance Scholarship (GDES), $21K/year for four years. Ph.D., Peking University (PKU), China, 2022. Postdocs, visitors, and other research personnel With pictures from David Mould's page and a version
Gottfried Leibniz (Universitat Altdorf, 1666). (Ecole Polytechnique), Joseph Lagrange (Pierre-Simon Laplace, too), Leonard Euler (Universitatīasel), Johann Bernoulli (Universitat Basel), Jacob Bernoulli (Universitat Basel), and Newton (Yale), Michel Chasles (Ecole Polytechnique), Simeon Poisson (Technion), Michael Rabin (Princeton), Alonzo Church (Princeton), Oswald Veblen (Chicago),Į. Project, the students below can trace back their "academic roots" as follows: Hao Zhang (Toronto),Įugene Fiume (Toronto), Alain Fournier (UT Texas), Zvi Kedem (Technion), Azaria Paz "Do only what only you can do." - Edgar Dijkstra
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