QIF 2020 North America

2020 North America Program Details

We believe that research and development is the key to harnessing the power of imagination and to discovering new possibilities. We are excited to announce a new kind of Fellowship that promotes Qualcomm’s core values of innovationexecution and teamwork. Our goal is to enable students to pursue their futuristic innovative ideas.

Finalist Selections
Finalist Instructions
Selected Abstracts
Application Process
Areas of Interest
Participating Universities




Innovation Title


Xinshuo Weng, Ye Yuan

Kris Kitani

3D Multi-Agent Social Interaction Understanding and Diverse Future Behavior Forecasting for Next General AI Systems


Mohamed Hassan, Evgeny Manzhosov

Simha Sethumadhavan

Practical Software Security on Heterogeneous System on Chips


Keertana Settaluri, Kourosh Hakhamaneshi

Vladimir Stojanovic, Borivoje Nikolic

Designing Analog Mixed Signal Circuits with Machine Learning


Casey Hardy, Abdullah Abdulslam

Hanh-Phuc Le, Patrick Mercier

Vertical Hybrid Power Delivery for High-Performance Processors and Digital Systems


Minghua Liu, Xiaoshuai Zhang

Hao Su

Learning-Based 3D Mesh Reconstruction


Shuyang Li, Bodhisattwa Prasad Majumder

Julian McAuley

Toward Personalized and Multimodal Conversational Recommender Systems


Sai Bi, Zhengqin Li

Manmohan Chandraker,
Ravi Ramamoorthi

Physically-Motivated Deep Inverse Rendering from Sparse Inputs


Dominique Meyer, Hengyuang Zhang

Henrik Christensen

Temporospatial Fusion of Radar, Vision and LIDAR data for Autonomous Driving


Suraj Jog, Junfeng Guan

Haitham Hassanieh

High Resolution Millimeter Wave Imaging Using Deep Adversarial Learning


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


John Thickstun, Vivek Jayaram

Sham Kakade

Source Separation with Deep Generative Priors

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:

Qualcomm Innovation Fellowship Finalists' Day

Oct 19, 2020