Qualcomm Innovation Fellowship Winners

Congratulations to all of our Fellowship winners!

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

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, Ravi Ramamoorthi	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., Nuria Gonzalez-Prelcic	Radar-to-radar interference: System level analysis and solutions
Virginia Tech	Yibin Liang, Kangjun Bai	Yang (Cindy) Yi, Lingjia Liu	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

2019 India Winners

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

2019 Europe Winners

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

2019 U.S. Winners

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

2018 U.S. Winners

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

2018 India Winners

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

2018 Europe Winners

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, Joost Broekens

2017 U.S. Winners

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

2017 India Winners

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

2017 Europe Winners

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

2016 U.S. Winners

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

2016 India Winners

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

2016 European Winners

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

2015 U.S. Winners

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

2014 U.S. Winners

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

2014 International Winners

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 *).

Cambridge
School	Student(s)	Recommender(s)	Innovation Title
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

2013 U.S. Winners

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.

Winners
School	Student(s)	Recommender(s)	Innovation Title
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

2013 International Winners

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.

Cambridge
School	Student(s)	Recommender(s)	Innovation Title
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

2012 Winners

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

2011 Winners

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

2010 Winners

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

2009 Winners

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

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:

Winners

Finalists

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