North America Winners
School |
Students |
Recommender(s) |
Innovation Title |
---|---|---|---|
CMU |
Xinshuo Weng, Ye Yuan |
Kris Kitani |
3D Multi-Agent Social Interaction Understanding and Diverse Future Behavior Forecasting for Next General AI Systems |
Columbia |
Mohamed Hassan, Evgeny Manzhosov |
Simha Sethumadhavan |
Practical Software Security on Heterogeneous System on Chips |
UCB |
Keertana Settaluri, Kourosh Hakhamaneshi |
Vladimir Stojanovic, Borivoje Nikolic |
Designing Analog Mixed Signal Circuits with Machine Learning |
UCSD |
Casey Hardy, Abdullah Abdulslam |
Hanh-Phuc Le, Patrick Mercier |
Vertical Hybrid Power Delivery for High-Performance Processors and Digital Systems |
UCSD |
Minghua Liu, Xiaoshuai Zhang |
Hao Su |
Learning-Based 3D Mesh Reconstruction |
UCSD |
Shuyang Li, Bodhisattwa Prasad Majumder |
Julian McAuley |
Toward Personalized and Multimodal Conversational Recommender Systems |
UCSD |
Sai Bi, Zhengqin Li |
Manmohan Chandraker, |
Physically-Motivated Deep Inverse Rendering from Sparse Inputs |
UCSD |
Dominique Meyer, Hengyuang Zhang |
Henrik Christensen |
Temporospatial Fusion of Radar, Vision and LIDAR data for Autonomous Driving |
UIUC |
Suraj Jog, Junfeng Guan |
Haitham Hassanieh |
High Resolution Millimeter Wave Imaging Using Deep Adversarial Learning |
USC |
Runzhou Zhang, Huibin Zhou |
Alan E. Willner |
High-Capacity Mode-Division-Multiplexed Wireless Communications Within and Beyond Millimeter-Wave Band |
UT Austin |
Khurram Mazher, Andrew Graff |
Robert W. Heath Jr., |
Radar-to-radar interference: System level analysis and solutions |
Virginia Tech |
Yibin Liang, Kangjun Bai |
Yang (Cindy) Yi, |
A Low-Power Hybrid Neural Processing Architecture for Mobile Edge Intelligent Computing |
Washington |
John Thickstun, Vivek Jayaram |
Sham Kakade |
Source Separation with Deep Generative Priors |
2020 Europe Winners
Student Name |
Supervisor |
Innovation Title |
University |
---|---|---|---|
David Burt |
Carl E. Rasmussen, Mark van der Wilk |
Variational Inference in Compositional Models |
University of Cambridge |
Miguel Cacho Soblechero |
Pantelis Georgiou, Jesus Rodriguez Manzano |
Sense-aware System-on-Chip for ISFET diagnostic platforms |
Imperial College London |
Pietro Frigo |
Cristiano Giuffrida |
Reverse Engineering in-DRAM Rowhammer Mitigations via Automata Learning |
Vrije Universiteit Amsterdam |
Vidhi Ramesh Lalchand |
Carl E. Rasmussen |
Probabilistic Kernel Learning in Gaussian Processes |
University of Cambridge |
Yuki Asano |
Andrea Vedaldi |
Learning self-supervised learning |
University of Oxford |
2020 South Korea Winners
Winner | University | Student(s) |
QIFK-2020-3 | Seoul National University | Byeongchang Kim |
QIFK-2020-4 | Seoul National University | Soochan Lee |
QIFK-2020-6 | KAIST | Janghyeon Lee |
QIFK-2020-16 | Seoul National University | Saehyung-Lee |
QIFK-2020-21 | KAIST | Jihoon Tack, Sangwoo Mo |
QIFK-2020-33 | KAIST | Yuji Roh |
QIFK-2020-35 | Seoul National University | Jaemin Yoo |
QIFK-2020-39 | Seoul National University | Jaemin Yoo |
QIFK-2020-45 | Seoul National University | Chris Dongjoo Kim |
QIFK-2020-56 | Seoul National University | Yeonwoo Jeong |
QIFK-2020-58 | POSTECH | Sungyeon-Kim |
QIFK-2020-77 | KAIST | Jongheon Jeong |
QIFK-2020-81 | Seoul National University | Gyeongsik Moon |
QIFK-2020-86 | Seoul National University | Jaekyeom Kim |
QIFK-2020-95 | Sungkyunkwan University | Sangwon-Jung, Hongjun Ahn |
QIFK-2020-100 | Seoul National University | Sungyong Baik |
QIFK-2020-114 | KAIST | Jinsun-Park |
QIFK-2020-123 | KAIST | Seokju Lee |
QIFK-2020-128 | KAIST | Philipp Benz, Chaoning Zhang |
QIFK-2020-143 | KAIST | Pan Fei |
Innovation Title | Student(s) | Recommendor(s) | University |
---|---|---|---|
Blind objective video quality assessment |
Sathya Veera Reddy Dendi, Parimala Kancharla |
Sumohana S. Channappayya |
IIT – Hyderabad |
Codes for Distributed Computing and Sharding |
Divija Swetha Gadiraju |
Lalitha Vadlamani |
IIIT – Hyderabad |
Data-driven Inverse Models for Vehicular Traffic |
Helen Thomas, Rito Brata Nath |
Tarun Rambha |
IISc – Bangalore |
ELeGANt: Euler-Lagrange Constrained Generative Adversarial Networks |
Siddarth Asokan |
Chandra Sekhar Seelamantula |
IISc - Bangalore |
Generation of Artificial Visual Scanpath for Action Recognition in Still Images |
Ashish Verma, Debanjan Sengupta |
Debashis Sen |
IIT – Kharagpur |
Human Sensing from Monocular Videos |
Rishabh Dabral |
Arjun Jain, Ganesh Ramakrishnan |
IIT – Bombay |
Intelligent and Adaptive HARQ in Next Generation Wi-Fi Systems |
Romil Sonigra, Shishir G |
David Koilpillai, Nambi Seshadri/p> |
IIT – Madras |
MAC layer methods for low-latency handover and blockage-mitigation in mmWave indoor networks |
Arijit Bhattacharjee |
Sanjay Kumar Bose, Ratnajit Bhattacharjee |
IIT – Guwahati |
Random Access Schemes for Massive Machine Type Communications |
Chirag Ramesh |
Chandra R. Murthy |
IISc – Bangalore |
Streaming Codes for Low-Latency Communication |
Myna Vajha, Nikhil Krishnan Muralee Krishnan |
P Vijay Kumar |
IISc – Bangalore |
Student | Title | University | Supervisor |
---|---|---|---|
David Stutz |
Adversarial Weights |
Max Planck Institute |
Bernt Schiele Matthias Hein |
Kaicheng Yu |
Robust Neural Architecture Search with Soft Weight Sharing |
EPF Lausanne |
Mathieu Salzmann,Pascal Fua |
Mario Paulo Drumond |
ColTraIn: co-located deep learning training and inference |
EPF Lausanne |
Babak Falsafi |
Mehdi Bahri |
Deep Implicit Representations for Surface Generation |
Imperial College London |
Michael Bronstein, Stefanos Zafeiriou |
This year 65 proposals were selected from 115 abstracts submitted by 22 schools. Of the 37 finalists chosen (acceptance rate: 32.17%), we selected 13 winning teams (acceptance rate: 11.30%). Each winning team will be awarded a $100,000 fellowship and receive mentorship from Qualcomm engineers.
School | Students | Recommender(s) | Innovation |
CMU | Chenlei Fang Qicheng Huang |
Shawn Blanton | MADS: A Machine Learning Assisted Diagnosis System |
CMU | Ankur Mallick Jianyu Wang |
Gauri Joshi | Robust and Scalable Machine Learning on the Edge |
Cornell | Alexandra Gallyas-Sanhueza Oscar Castaneda |
Christoph Studer | PPAC: In-Memory Accelerator for Matrix-Vector Products |
Georgia Tech | Brian Crafton Muya Chang |
Arijit Raychowdhury | Enabling Efficient Training of Deep Neural Networks through Sparse Direct Feedback Alignment and Algorithm-Hardware Co-Design |
Princeton | Sameer Wagh Vikash Sehwag |
Prateek Mittal | Private Deep Learning Made Practical |
Stanford | George Alexopoulos Siavash Kananian |
Ada Poon Zhenan Bao |
Next Generation Sensing Systems for Fully-Passive Remote Data Telemetry |
Stanford | Fei Xia William Shen |
Silvio Savarese | Real-World Autonomous Agents from Virtual Environment: Generalizable Simulation and Representation Learning |
Stanford | Minae Kwon Mengxi Li |
Dorsa Sadigh Jeannette Bohg |
Learning Latent Structures among HumanDrivers for Intent Inference and Planning |
Stanford | Kristy Choi Kedar Tatwawadi |
Stefano Ermon Tsachy Weissman |
Improving Communication Systems with Deep Generative Models |
UCLA | Shi Bu Han Yan |
Sudhakar Pamarti Danijela Cabric |
A Wideband Frequency-Channelized ADC Using Time-Varying Circuits and Adaptive Digital Control |
UCLA & UIUC |
Saptadeep Pal Matthew Tomei |
Puneet Gupta Rakesh Kumar |
Revolutionizing Large-Scale Graph Processing using Waferscale Architecture |
UCSD | Yeswanth Guddeti Hadi Givehchain |
Dinesh Bharadia Aaron Schulman |
SweepSense : Sensing 5Ghz in 5Milliseconds with Low-cost radios |
UCSD | Mojan Javaheripi Mohammad Samragh |
Farinaz Koushanfar Tara Javidi |
Acquiring Compact AI with Natural Evolution |
This year 70 proposals were selected from 174 abstracts submitted by teams from 20 QInF schools. Of the 30 finalists chosen (acceptance rate: 17.24%) we selected 8 winning teams (acceptance rate: 4.60%). Each winning team will be awarded a $100,000 fellowship and receive mentorship from Qualcomm engineers.
School |
Students |
Recommender(s) |
Title |
---|---|---|---|
UCSD |
Jiun-Ting Huang, Alankrita Bhatt |
Young-Han Kim |
Monte Carlo Decoding of Error-Correcting Codes |
Stanford |
Jiaming Song, Shengjia Zhao |
Stefano Ermon |
Safe Multi-Agent Imitation Learning for Self-Driving |
UCSD |
Hardik Sharma, Mohammad Ghasemzadeh |
Hadi Esmaeilzadeh, Farinaz Koushanfar |
Magneto: Hardware-Algorithm Co-design for Training at the Edge using MRAM |
MIT |
Davis Blalock, Jose Javier Gonzalez |
John Guttag |
Deep Learning Using Radically Less Time, Space, and Data |
Georgia Tech |
Fei Wang, Kyle Xu |
Hua Wang, Justin Romberg |
An Artificial-Intelligence (AI) Assisted Mm-Wave Multi-Band Doherty Transmitter with Rapid Mixed-Mode In-Field Performance Optimization and Digital Pre-Distortion Compensation |
Caltech |
Ehsan Abbasi, Fariborz Salehi |
Babak Hassibi |
Efficient Near ML Data Recovery in Massive MIMO |
CMU |
Dimitrios Stamoulis, Zhuo Chen |
Diana Marculescu |
Towards Efficient Hardware-Constrained Deep Learning |
Stanford |
Karen Leung, Sumeet Singh |
Marco Pavone, Dorsa Sadigh |
Interpretable Algorithms for Intent Inference and Decision-Making on the Road |
Innovation Title | Student(s) | Recommendor(s) | University |
---|---|---|---|
Battle of Bandits | Aadirupa Saha | Aditya Gopalan | IISc - Bangalore |
Feedback Overhead Reduction in 5G using Base Station-Side Estimation | Vineeth Kumar Vimal Kumar | Neelesh B. Mehta | IISc - Bangalore |
Intelligent ADAS Task Management on Heterogeneous Automotive Architectures | Anirban Ghose, Srijeeta Maity | Soumyajit Dey, Pabitra Maitra | IIT - Kharagpur |
Non Contact CardioPulmonary Assessment in the wild using imaging techniques | Prashant Pandey, Varun Srivastava | AP Prathosh | IIT - Delhi |
Quantum Theoretic Codes for the Cell Discovery Problem in mm Wave Communication Systems | Manoj A, Rashmi P | Arun Pachai Kannu | IIT - Madras |
Sparse Signal Processing for 5G mmWave Hybrid MIMO Technology | Suraj Srivastava, Saumya Dwivedi | Aditya K. Jagannatham | IIT - Kanpur |
Textured Non-rigid 3D Reconstruction in a calibration free environment | Abbhinav Venkat, Sai Sagar Jinka | Avinash Sharma | IIIT - Hyderabad |
Underwater Image Processing: Point Tracking, Motion Segmentation, Restoration | Jerin Geo James | Ajit Rajwade | IIT - Bombay |
Student | Title | University | Supervisor |
---|---|---|---|
Henri Rebecq |
Learning Representations for Low-latency Perception with Frame and Event-based Cameras |
UZH/ETHZ |
Davide Scaramuzza |
Rakshith Shetty |
Learning to Controllably Edit Images |
MPI |
Bernt Schiele, Mario Fritz |
Thomas Moerland |
Double Uncertain Exploration |
TU Delft |
Catholijn Jonker, |
We received 116 proposals from 18 schools this year, from which, 33 finalists were selected (acceptance rate: 26.44%). From the finalists, we selected 8 winning teams (acceptance rate: 6.9%). Each winning team will be awarded a $100,000 fellowship and receive mentorship from Qualcomm engineers.
School |
Students | Recommender(s) | Title |
Washington |
Max Willsey, Vincent Lee |
Luis Ceze, Rastislav Bodik, Alvin Cheung |
Program Synthesis for Domain Specific Reconfigurable Accelerators |
CMU |
Yang Zhang, Abdelkareem Bedri |
Chris Harrison, Thad Starner |
Towards General-Purpose Sensing with Synthetic Sensors |
Columbia |
Thomas Repetti, Joao Cerqueira |
Martha Kim, Mingoo Seok |
A Programmable Spatial Architecture with Temporally/Spatially Fine-Grained Active Leakage Management for Energy-Efficient Near-Threshold-Voltage Computing |
Princeton |
Xue Wu, Chandrakanth Chappidi |
Kaushik Sengupta |
Universally Reconfigurable mm-Wave Transmitter Architectures and Antenna Interfaces for the Next-generation of Heterogeneous mm-Wave Wireless Networks |
MIT |
Hongzi Mao, Ravi Netravali |
Mohammad Alizadeh, Hari Balakrishnan |
Adaptive Bitrate Streaming with Deep Reinforcement Learning |
Georgia Tech |
Grady Williams, Paul Drews |
Evangelos Theodorou, James Rehg |
Autonomous Racing Using Deep Learning and Game Theoretic Optimization |
UT Austin |
Lakshay Narula, Matthew Murrian |
Todd Humphreys |
Robust and Secure Precise Location for Connected Vehicles and Pedestrians |
CMU |
Minh Vo, Aayush Bansal |
Deva Ramanan, Srinivasa Narasimhan, Yaser Sheikh |
Time Travel: Automatically Organizing and Browsing Massive Visual Data |
Institute |
Proposal title |
Student(s) |
Faculty recommender(s) |
IIT Kharagpur |
Domain Adversarial Networks for Bridging Cross Domain Semantic Gaps in Computer Vision |
Avisek Lahiri, Abhinav Agarwalla |
Prabir Kumar Biswas, Pabitra Mitra |
IIT Bombay |
A Deep Learning Framework for Hand Tracking with Personalized Dynamics |
Pratik Kalshetti |
Parag Chaudhuri |
IIIT Hyderabad |
Real-Time Monocular Object SLAM System for Dynamic Road Scenes |
Junaid Ahmed Ansari, Sarthak Sharma |
K Madhava Krishna |
IIT Kharagpur |
Automating fault based cryptanalysis in secure embedded applications using machine learning |
Sayandeep Saha, Sikhar Patranabis |
Debdeep Mukhopadhyay, Pallab Dasgupta |
IIT Kharagpur |
Blind Joint Equalization and Detection in Presence of Non-linearity and Synchronization Errors for Millimeter Wave Communications. |
Preety Priya, Sucharita Chakraborty |
Debarati Sen |
IISc Bangalore |
Novel selection algorithms to exploit spatio-temporal correlation in opportunistic wireless systems |
Reneeta Sara Isaac |
Neelesh B. Mehta |
Location | School | Student | Recommender | Title |
Lausanne/Switzerland |
EPFL |
Bugra Tekin |
Pascal Fua |
Real-time 3D Human Pose Estimation in the Wild |
Cambridge/UK |
Cambridge |
Alessandro Davide Ialongo |
Carl Rasmussen |
Learning and Decision-making for Autonomous Behaviour |
Leuven/Belgium |
KUL |
Bert De Brabandere |
Luc Van Gool |
Learning to learn visual representations without supervision |
We received 129 proposals from 18 schools this year, from which, 34 finalists were selected (acceptance rate: 26.35%). From the finalists, we selected 8 winning teams (acceptance rate: 6.2%). Each winning team will be awarded a $100,000 fellowship and receive mentorship from Qualcomm engineers.
School | Student(s) | Recommender(s) | Innovation Title |
Carnegie Mellon University (CMU) | Sankalp Arora, Daniel Maturana | Sebastian Scherer | Semantic Exploration through UAV's |
Columbia University, and The University of Texas at Austin | Negar Reiskarimian, Ahmed Kord | Harish Krishnaswamy, Andrea Alu | Fully-Integrated Reconfigurable Magnet-less Non-reciprocal Components for Next-Generation Wireless Communication Systems |
Massachusetts Institute of Technology (MIT) | Chiraag Juvekar, Utsav Banerjee | Anantha Chandrakasan | Hardware Acceleration for Mobile Computing on Encrypted Data |
Stanford University | Spyridon Baltsavias, Junyi Wang | Amin Arbabian, Butrus T. Khuri-Yakub | Advanced Ultrasound Sensing in the Modern Wireless World: a Miniaturized Ultrasound Transducer System for Biomedical Applications |
UC Berkeley (UCB) | Zachary Phillips, Michael Chen | Laura Waller | High-Speed Quantitative Phase Imaging on a Smartphone Microscope using Color Multiplexing |
UC Los Angeles (UCLA) | Mark Gottscho, Clayton Schoeny | Puneet Gupta, Lara Dolecek | Software-Defined Error-Correcting Codes |
University of Maryland, College Park | Michael Maynord, Anupam Guha | Yiannis Aloimonos, Cornelia Fermuller | Feedback for Vision |
University of Washington | Hanchuan Li, Alex Mariakakis | Shwetak Patel, Alanson Sample | IDCam: Object Identification and Localization for Activity Inference using RFID and RGB-D Cameras |
Qualcomm's India research center received 31 proposals from 4 schools this year, from which, we selected 4 winning teams (acceptance rate: 12.9%). Each winning team will be awarded a INR 10,00,000 fellowship and receive mentorship from Qualcomm engineers.
School | Student(s) | Recommender(s) | Innovation Title |
Indian Institute of Technology, Madras | Akshat Dave, Anil Kumar Vadathya | Prof. Kaushik Mitra | Deep Generative Networks for Computational Photography |
Indian Institute of Technology, Bombay | Sanjeev Mk | Prof. Siddhartha Chaudhuri | Functionality Driven 3D Analysis and Design |
Indian Institute of Technoogy, Bombay | Ravi Kiran (PhD candidtate) | Prof. R. Venkatesh Babu | Recurrent Deep Neural Nets for Analysis and Synthesis of Hand-sketched Content |
International Institute of Information Technology, Hyderabad | Saket Saurav (PhD candidate), Gourav Kumar | Prof. K. Madhava Krishna | Parking Assistant Drone System |
Qualcomm’s European research center received 29 proposals from the 6 participating universities in Europe (Delft University of Technology, EPF Lausanne, ETH Zürich, Imperial College London, University of Cambridge, University of Leuven). Each proposal was evaluated by three researchers in CR&D. After some tough discussions and careful consideration, we selected 9 proposals for the finalist presentations. Each of the three winning students will be awarded a $40,000 fellowship for submitting the most innovative proposal.
School | Student(s) | Recommender(s) | Innovation Title |
ETH Zürich | Jason Lee | Thomas Hofmann | A Unified Neural Language Model for Morphology, Grammar and Coherence |
Delft University of Technology | Tim de Bruin | Robert Babuska | Unsupervised Multimodal State-representation Learning for Robotics |
ETH Zürich / University of Zürich | Elias Mueggler | Davide Scaramuzza | Event-based Vision for High-speed Robotics |
We received 146 proposals this year from 18 schools. From there, 35 finalists were selected (acceptance rate: 24.0%) from which we selected 8 winning teams (acceptance rate: 5.5%). The competition was very strong this year, with some of the schools putting in a record number of proposals. We also added the robotics and UAV area. The winners will each be awarded a $100,000 Fellowship and mentorship from Qualcomm engineers.
School | Student(s) | Recommender(s) | Innovation Title |
Stanford | Haomiao Jiang, Qiyuan Tian | Brian A. Wandell, Joyce E. Farrell | Rethinking Image Rendering on Mobile Devices |
Washington | Carlo C del Mundo, Vincent Lee | Luis Ceze, Mark Oskin | Systems and Architecture Support for Large-scale Video Search |
Princeton | Lingyu Hong, Hao Li | Kaushik Sengupta, Haw Yang | When Nanophotonics Meets Electronics: CMOS Optical Biosensor |
UCLA | Zhi Yao, Sidhant Tiwari | Yuanxun Ethan Wang, Robert N. Candler | Bulk Acoustic Wave Resonators for Antenna Applications through Multiferroic Coupling |
MIT and Cornell | Suren Jayasuriya, Achuta Kadambi | Ramesh Raskar, Al Molnar | Nanophotography: Computational CMOS Sensor Design for 3-D Imaging |
UCB | Phillip Sandborn, Behnam Behroozpour | Ming Wu, Bernhard Boser | Wide-range Hybrid AM/FM LADAR Scalable to Chip Level |
Columbia | Jelena Marasevic, Jin Zhou | Gil Zussman, Harish Krishnaswamy | Realizing the Full-duplex Potential of OFDM-based Networks: From Circuits to MAC Layer |
Stanford | Lucas Janson, Edward Schmerling | Marco Pavone, Margot Gerritsen | Parallel Algorithms for Real-time Robotic Motion Planning Under Uncertainty |
We received 137 proposals this year from 18 schools. From there, 34 finalists were selected (acceptance rate: 24.8%) from which we selected 9 winning teams (acceptance rate: 6.6%). The competition was very strong this year, with some of the schools, new and established, putting in a record number of proposals. As a result, this year we increased the winning teams from initially 8 to 9 teams. The winners were each awarded a $100,000 Fellowship and mentorship from Qualcomm engineers.
School | Student(s) | Recommender(s) | Innovation Title |
MIT | Phillip Nadeau Mark Mimee |
Anantha Chandrakasan Timothy Lu |
BacMOS: Electronic bio-sensors using synthetic biological transducers |
UT Austin | Prabhakar Marepalli Columbia Mishra |
Jayathi Y. Murthy | Simulation of Highly Non-Equilibrium Electro-Thermal Transport in Ultra-Scaled Microelectronics |
Georgia Tech |
Amir Yazdanbakhsh Bradley Thwaites |
Hadi Esmaeilzadeh Doug Burger |
Bridging Analog Neuromorphic and Digital von Neumann Computing |
Stanford | Hao Nan Miaad Aliroteh |
Amin Arbabian | Biometric Authentication with 3D Map of Blood Vessels Using Novel Microwave Imaging |
CMU | Sauvik Das Gierad Laput |
Jason Hong | Everyday Objects for Physical Space Authentication |
Caltech | Ron Appel Krzysztof Chalupka |
Pietro Perona | Energy-Efficient Multiclass Classification for Visual Applications on Mobile Devices |
Washington | Vamsi Talla Vincent Liu |
Joshua R. Smith Shyamnath Gollakota |
Battery- and Infrastructure-free Devices |
Columbia | Anandaroop Chakrabarti Mehdi Ashraphijuo |
Harish Krishnaswamy Xiaodong Wang |
Massive Millimeter-Wave MIMO for 100G Wireless |
Caltech | Kishore Jaganathan Christos Thrampoulidis |
Babak Hassibi | Interference Alignment via Matrix Completion for Cellular Networks and Network Coding |
Qualcomm's three European research centers in Cambridge, Germany and Austria ran their own fellowship programs. Each winning student received a fellowship in the amount of £10,000 for Cambridge and €10,000 each for Germany and Austria for the upcoming academic year, plus assignment of a Qualcomm researcher as mentor to facilitate close collaboration and interaction with Qualcomm Corporate Research & Development. We had 3 winners from each research center location and for the first time we had a European champion winner for the student with the most innovative proposal from the three participating European QInF locations (noted below with an *).
School | Student(s) | Recommender(s) | Innovation Title |
Cambridge | |||
---|---|---|---|
Imperial College of London | Hanme Kim * | Andrew Davison | Visual SLAM and 3D reconstruction using an event based camera |
Imperial College | Patrick Snape | Stefanos Zafeiriou | Recovering Facial Shape from Unconstrained Images |
Cambridge University | Amah Shah | Zoubin Ghahraman | Bayesian Global Optimisation of Expensive Functions |
Germany | |||
TU Munich | Qing Bai | Josef A. Nossek | Energy Efficient Design of SIMO Receivers with Compact Antenna Arrays |
Institut Eurecom | Martina Cardone | Raymond Knopp & Daniela Tuninetti | Relay assisted downlink wireless channels |
TU Munich | Dominik Van Opdenbosch | Eckehard Steinbach | Camera-based indoor positioning using scalable streaming of compressed binary image signatures |
Austria | |||
EPF Lausanne | Zahra Sadeghipoor | Sabine Suesstrunk | Chromatic Aberration Correction in RGB and Near-Infrared Cameras |
EPF Lausanne | Ngo Tien Dat | Pascal Fua | Augmenting Deformable 3-D Surfaces on Mobile Devices |
ETH Zurich | Tobias Nägeli | Otmar Hilliges | Environment Independent low latency Metric Camera Pose Estimation in Dynamic Scenes |
138 proposals were received from 15 schools. From there, 33 finalists (acceptance rate: 24%) were selected from which 8 winning teams (acceptance rate: 6%) were each awarded a $100,000 Fellowship. We also recognized 2 additional teams with an Honorable Mention and a $50,000 grant each.
School | Student(s) | Recommender(s) | Innovation Title |
Winners | |||
---|---|---|---|
Washington | Adrian Sampson Thierry Moreau |
Luis Ceze Dan Grossman |
Approximate Acceleration |
UCLA | Pramey Upadhyaya Juan Alzate |
Kang L. Wang | Spin-Based GHz Reconfigurable Switches for Ultralow-Power Memory and Logic Applications |
Princeton | Yingzhe Hu Josue Sanz-Robinson |
Naveen Verma James C. Sturm |
Hybrid Architectures and Circuits to Transform Flexible Electronics into High-value, Large-scale Sensing Systems |
Cornell | Ilan Shomorony Alireza Vahid |
Salman Avestimehr | Collaborative Interference Management |
UIUC | Man-Ki Yoon Fardin Abdi Taghi Abad |
Lui Sha Sibin Mohan |
Behavior Pattern Inspection: A new Approach for Securing Real-Time Embedded Systems |
UCSD | Lele Wang, Minghai Qin |
Young-Han Kim Paul H. Siegel |
Practical Coding Techniques for Network Communication Systems |
UCB | Phitchaya Phothilimthana Nishant Totla |
Rastislav Bodik | Programming Model and Synthesis for Low-power Spatial Architectures |
Columbia | Changhyuk Lee Sunwoo Lee |
Alyosha C. Molnar James Hone |
Graphene Resonator Based Mixer-First Receiver on CMOS for Digitally Controlled and Widely Tunable RF Interface |
Honorable Mentions | |||
CMU | Chris Fallin Gennady Pekhimenko |
Onur Mutlu | Block-Based Heterogeneous Core Designs for Higher System Performance and Efficiency |
Michigan | Brad Campbell Pat Pannuto |
Prabal Dutta | Solving Node Synchronization, Indoor Localization, and Low-Power Communication with a Single VLC Bullet |
Qualcomm's three European research centers in Cambridge, Germany and Austria had 3 winning students each for their own fellowship programs. Each winning student received a fellowship in the amount of £10,000 for Cambridge and €10,000 each for Germany and Austria for the upcoming academic year, plus assignment of a Qualcomm researcher as mentor to facilitate close collaboration and interaction with Qualcomm Corporate Research & Development.
School | Student(s) | Recommender(s) | Innovation Title |
Cambridge | |||
---|---|---|---|
school TBD | Marwa Mahmoud | Prof. Peter Robinson | Non-verbal communication |
school TBD | Steven Marsh | Dr. Simon Moore | Providing an efficient programming model for extreme-scale real-time neural network simulation |
school TBD | Joan Alabort-i-Medina | Dr. Stefanos Zafeiriou | Facial point localisation and tracking in the wild |
Germany | |||
school TBD | Michael Heindlmaier | Gerhard Kramer | Implementation and Optimization of Noisy Network Coding Schemes |
school TBD | Alexander Krebs | Wolfgang Utschick | Forward Cross-Layer Error Correction of Turbo Coded LTE Data Frames |
school TBD | Pan Cao | Eduard A. Jorswieck | Power Trading in Multi-Source Multi-Relay |
Austria | |||
school TBD | Alberto Crivellaro | Lepetit | A Robust Dense Approach for Marker-less Camera Pose Estimation in Industrial Contexts |
school TBD | Zahra Sadeghipoor | Süsstrunk | Joint Acquisition of RGB and Near-Infrared Images with the Bayer CFA |
school TBD | Bernhard Zeisl (& Alain Maurice Illi) | Pollefeys | Depth Map Super-Resolution from Noisy and Low Quality Mobile Depth Sensors |
A total of 46 proposals were received from which 8 finalists were selected. Two winning teams were each awarded a $100,000 Fellowship and mentorship from Qualcomm engineers.
School | Student(s) | Recommender(s) | Innovation Title |
UCB | Asif Khan Chun Yeung |
Sayeef Salahuddin Chenming Hu |
Negative Capacitance FET with sub 60 mV/dec swing and high Ion for Ultra-low Power High Performance Mobile Computing |
CMU | Chris Harrison Robert Xiao |
Scott E Hudson | Synthetic Sensors and Interfaces |
Columbia | Michael Lekas Sunwoo Lee |
James Hone Ken Shepard |
CMOS Compatible Graphene Nanoelectromechanical Systems for Next Generation RF Design |
UCB | Sameer Agarwal Aurojit Panda |
Ion Stoica Sam Madden |
QuickSilverDB: Interactive Queries on Unbounded Data With Bounded Errors |
UCLA | James Xu Yan Wang |
Greg Pottie Bruce Dobkin |
Multi-Context Driven Activity Classification through Three-dimensional Body Motion via Wearable Sensors |
UIUC | Rakesh Komuravelli Matthew Sinclair |
Sarita Adve Vikram Adve |
Addressing the Hardware Challenges of Tightly Coupled Heterogeneous Architectures |
Stanford | Alexander Neckar Sam Fok |
Kwabena Boahen | Neuromorphics: Programmable Analog Computation Through Reconfiigurable Digital Communication |
UCLA | Xufeng Kou Murong Lang |
Kang L. Wang | Topological Insulators Based Spin-Polarized FET |
A total of 141 proposals were received from which 34 finalists were selected. Ten winning teams were each awarded a $100,000 Fellowship and mentorship from Qualcomm engineers.
School | Student(s) | Recommender(s) | Innovation Title |
UMD | Ching L Teo Yezhou Yang |
Yiannis Aloimonos Hal Daumé III |
Robots Need Language: A computational model for the integration of vision, language and action |
Princeton | Mohammed Shoaib Kyong Ho Lee |
Naveen Verma Niraj K. Jha |
Algorithm-driven Platforms for Low-energy Intelligent Biomedical Systems |
CMU | David Bromberg Daniel Morris |
Lawrence Pileggi Jian-Gang Zhu |
mLogic: Low-Power, Non-Volatile Magnetoelectronic Logic Circuits for Portable Applications |
UIUC | Rajinder Sodhi Brett Jones |
David Forsyth | Spatial Mobile Interaction using Depth Cameras |
UCSD UCLA | Siarhei Vishniakou Paul Brochu |
Deli Wang Qibing Pei |
I-SENSE – Innovative Technology Enabling New Life-style |
MIT | Ahmed Kirmani Andrea Colaco |
Vivek K Goyal Franco Wong |
Single Pixel Depth Sensing and 3D Camera |
UCB | Mohit Bansal Taylor Berg-Kirkpatrick |
Dan Klein John Blitzer |
Automatic Summarization for Mobile Search |
UCLA | Supriyo Chakraborty Zainul Charbiwala |
Mani B. Srivastava | Balancing The Dichotomy Between Privacy and Utility in Mobile Empathic Systems: A Compressive Sensing Approach |
A total of 80 proposals were received from which 21 finalists were selected. Six winning teams were each awarded a $100,000 Fellowship and mentorship from Qualcomm engineers.
School | Student(s) | Recommender(s) | Innovation Title |
UCB | Maryam Tabesh Amin Arbabian |
Ali Niknejad | Millimeter-wave Dual-Band Passive RFID Using Antentronics |
UCB | Bor-Yiing Su Bryan Catanzaro |
Kurt Keutzer | Parallel Object Recognition on Mobile Platforms |
USC | Viviane Ghaderi Sushmita Allam |
Alice Parker Theodore W. Berger |
Modeling The Other Brain |
UCLA | Taehee Lee Teresa Ko |
Stefano Soatto Deborah Estrin |
Object-Level Mapping, Localization, and Change Detection on Mobile Platforms |
UCSD | Luke Barrington Brian McFee |
Gert Lanckriet Lawrence Saul |
Location-, Demographic-, Preference- and Content-Based Music Search and Recommendation |
Stanford | John Brunhaver Andrew Danowitz |
Mark Horowitz | Understanding Inefficiencies in General Purpose Processors |
The 2009 fellowship marked the inaugural year of the Qualcomm Innovation Fellowship program. In this first year, 46 proposals were received from which 8 finalists were selected. Two winning teams were each awarded a $100,000 Fellowship and mentorship from Qualcomm Engineers.
School | Student(s) | Recommender(s) | Innovation Title |
Berkeley | Leo Meyerovich Seth Fowler |
Ras Bodik | Parallel Web Browsing for Mobile Devices |
Stanford | David Stavens Jesse Levinson |
Sebastian Thrun | Precision Localization for Indoor Environments |
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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