Qualcomm Innovation Fellowship Winners

Congratulations to all of our Fellowship winners!


2021 South Korea Winners

Application number University Student(s)
QIFK2021_1 Seoul National University Jang-Hyun Kim
QIFK2021_14 Seoul National University Hyunwoo-Kim
QIFK2021_17 Seoul National University Sanghyun Son
QIFK2021_29 Seoul National University Jun-Gi Jang
QIFK2021_33 KAIST Sunghyun-Park, Kangyeol-Kim
QIFK2021_34 KAIST Sangwoo Mo
QIFK2021_35 POSTECH Juhong-Min
QIFK2021_36 Seoul National University Sangwoong Yoon
QIFK2021_60 KAIST Inkyu Shin
QIFK2021_62 POSTECH Nam Hyeon-Woo
QIFK2021_63 KAIST Jaehyung Kim
QIFK2021_72 Yonsei University Namuk Park
QIFK2021_73 POSTECH Minguk-Kang
QIFK2021_86 Seoul National University Geeho Kim
QIFK2021_92 KAIST Kwanyong Park
QIFK2021_98 Seoul National University Jaeseok Byun, Sungmin Cha
QIFK2021_99 Seoul National University Hyunyoung Jung
QIFK2021_100 Seoul National University Dongsu Zhang
QIFK2021_107 KAIST Dahun Kim
QIFK2021_108 Seoul National University Sungmin Cha

2021 North America Winners


School Innovation Title Students Recommender(s)
CMU Open World 3D Dynamic Reconstruction For Smart Cities Gengshan Yang, Dinesh Reddy Narapureddy Srinivasa Narasimhan, Deva Ramanan
Michigan / Washington Machine Learning Designs for Universal Decoders Mohammad Vahid Jamali, Xiyang Liu Sewoong Oh, Hessam Mahdavifar
MIT Algorithm-Hardware Co-Design for Efficient LiDAR-Based Autonomous Driving Zhijian Liu, Yujun Lin Song Han
MIT Long Term Multi-Agent Hybrid Prediction through Online Factored Concept Inference and Continual Hierarchical Learning Xin Huang, Meng Feng Brian Williams
MIT On-Device NLP Inference and Training with Algorithm-Hardware Co-Design Hanrui Wang, Han Cai Song Han, Hae-Seung Lee
Princeton Optimization Inspired Neural Architectures for 3D Reconstruction Zachary Teed, Ankit Goyal Jia Deng
Princeton Quantum Computation for Wireless Networks Sai Srikar Kasi, Minsung Kim Kyle Jamieson
Purdue University A Generalized Framework for Optimizing ML Workload Acceleration in Processing-in/near Memory Architectures Mustafa Ali, Tanvi Sharma Kaushik Roy
Stanford Implicit Representations for Compositional, Generalizable Scene Understanding Hongxing Yu, Michelle Guo Jiajun Wu
UCB Practical Lifting for Verification of Trusted Platform Software Kevin Cheang, Federico Mora Sanjit Seshia, Alvin Cheung
UCLA A Stochastic Compute-In-Memory Neural Network Accelerator with Variable Precision Tuning Jiyue Yang, Tianmu Li Sudhakar Pamarti, Puneet Gupta
UCSD Best-of-Class Digital PLL Frequency Synthesis IC Development Eslam Helal, Amr Eissa Ian Galton
University of Toronto Learning Long-Range 3D Object Detectors for High-Speed Autonomous Driving Anas Mahmoud, Juan Carrillo Steven Waslander
USC Federated Deep Learning: On-device Learning of CV and NLP with Transformers and CNNs Chaoyang He, Saurav Prakash Salman Avestimehr
UT Austin Federated Generative Learning for Channel Estimation in mmWave and THz systems Akash Doshi, Manan Gupta Jeffrey Andrews
Washington Enhanced Self-Interference Suppression with Phase Noise Cancellation for use in Full-duplex Radios Yi-Hsiang Huang, Xichen Li Chris Rudell, Visvesh Sathe

2021 Europe Winners

University Title Student Supervisor
Vrije Universiteit Amsterdam Continuous Kernel Convolution For ML David Romero Jakub Tomczak
Mark Hoogendoorn
University of Cambridge Diversity-encouraging Priors for Cheap but Well-calibrated Uncertainty in Deep Learning James Allingham José Miguel Hernández-Lobato
University of Oxford A Fully Probabilistic Theory of Autonomous Decision Making Tim Georg Johann Rudner Yarin Gal
Sergey Levine
EPF Lausanne Rebooting Virtual Memory with Midgard Siddharth Gupta Babak Falsafi
Abhishek Bhattacharjee

Fellowship Winners and Finalists

The Qualcomm Innovation Fellowship began in 2009, and has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally. Take a look at a list of all our fellowship winners and finalists from years past:

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