QInF 2018 US

2018 U.S. 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 innovation, execution and partnership. Our goal is to enable students to pursue their futuristic innovative ideas.

Application Process
Participating Universities
Areas of Interest

Each team shall submit an application by the specified deadline (see Timeline tab) that must include:

  1. 1. One-page abstract of innovation proposal

    (Single- or double-column with font size no smaller than 11)

  2. 2. Letter from one or two faculty members recommending the innovation
    1. a. Why the proposal is innovative
    2. b. Why the proposal is important
    3. c. Why the current team is likely to succeed in their proposal
  3. 3. Each student's CV
  4. 4. The official rules for the Qualcomm Innovation Fellowship are available for download and set forth the Program’s governing guidelines



The submission portal will open two weeks before the deadline.


Selected teams will be notified directly to participate in the next phase by submitting a final proposal that must include:

Three-page (Single- or double-column with font size no smaller that 11) innovation proposal (plus one for reference/bibliography) including:

    1. a. Introduction and problem definition
    2. b. Innovation proposal and relation to the state of the art
    3. c. One-year horizon of the project, even if the proposal is a multi-year project
    4. d. Strength of the team to achieve the proposal milestones

Finalist teams will be selected to participate in the final presentation phase of the Program.  Each finalist team must prepare a 12-minute presentation for the judges. Presentations must be in PowerPoint or PDF format. The presentation generally includes:

    1. a. The idea
    2. b. The differentiating factors from state of the art
    3. c. The execution plan and strength of the team

The winning teams will be chosen from these finalists after they present to the judging panel.


  • Applications must be submitted online by the specified deadline (see Timeline tab).  
  • The official rules for the Qualcomm Innovation Fellowship are available for download and set forth the Program’s governing guidelines
  • All QInF-related information will be announced on this webpage. Please check back regularly for updates

See FAQs for more details
Do you need further Information? Please direct your questions to: innovation.fellowship@qualcomm.com


Qualcomm Research is a division of Qualcomm Technologies, Inc.


Qualcomm is inviting applications for the Qualcomm Innovation Fellowship 2018 from PhD students in the Electrical Engineering and Computer Science (and related) departments at:

  • California Institute of Technology
  • Carnegie Mellon University (CMU)
  • Columbia University
  • Cornell University
  • Georgia Institute of Technology
  • Massachusetts Institute of Technology (MIT)
  • Princeton University
  • Rutgers University
  • Stanford University
  • UC Berkeley (UCB)
  • UC Los Angeles (UCLA)
  • UC San Diego (UCSD)
  • UC Santa Barbara (UCSB)
  • University of Illinois at Urbana-Champaign (UIUC)
  • University of Maryland, College Park
  • University of Michigan
  • University of Southern California (USC)
  • University of Texas at Austin
  • University of Washington
  • University of Wisconsin-Madison

We invite teams to submit proposals in the following areas. We also welcome proposals outside of the sub-areas listed below:

Advanced Semiconductor Electronics

  • Ultra-low (uW) power embedded platform for edge computing (ULP architectures and designs, HW accelerators, power generation and management, novel memories, security)
  • Novel materials and heterogeneous integration (2D semiconductors, GaAs, GaN, etc.)
  • CMOS (3D IC, thermal-aware designs, circuits, advanced packaging techniques, etc.)
  • RF / analog ASICs and architectures (Sub-6GHz 5G power amplifiers, mmWave RFIC for 5G NR, adaptive RF signal processing algorithms, etc.)
  • Advanced antenna (millimeter-wave and phase-array antennas), novel antenna materials, structures and implementations

Processor Architecture and Implementation

  • Novel processor architectures, microarchitectures, extensions, and accelerators
  • Multimedia and gaming architectures (not limited to GPU, GPGPU, VLIW, DSP, etc.)
  • Novel architectures for artificial intelligence, edge training and inference
  • Security features of CPUs and accelerators at the instruction set, memory system, and SOC levels

Autonomous Driving

  • Advanced sensors and sensor fusion
  • Imaging radar
  • Deep learning with guarantees
  • Safe and reliable path planning

Machine Learning

  • Natural language processing
  • Computer vision
  • Reinforcement and continual learning
  • On-device training
  • Intermediate representation for machine learning workloads/compilers

Advances in Communication Techniques and Theory

  • Ultra reliable and low latency communications
  • Wide-area wireless networks using high-frequency and mmWave spectrum
  • Massive MIMO, network MIMO, and coordinated multipoint processing
  • Wireless systems for unlicensed/shared spectrum
  • Low energy networks (Bluetooth LE, 802.15.4, Zigbee, Wi-Fi, etc.)

Submission site opens: November 3, 2017

Application submission deadline: November 12, 2017 (23:59h PST)

Selection announcement: December 12, 2017

Proposal submission deadline: January 15, 2018 (23:59h PST)

Finalists’ announcement: March 2018

Finalist presentations submission deadline: April 2018

Finalist presentations: April/May 2018

Winners’ announcement: May 2018

QInF Winners’ Day: October 2018

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.



Students Recommender(s) Title

Max Willsey, Vincent Lee

Luis Ceze, Rastislav Bodik, Alvin Cheung 

Program Synthesis for Domain Specific Reconfigurable Accelerators


Yang Zhang, Abdelkareem Bedri

Chris Harrison, Thad Starner

Towards General-Purpose Sensing with Synthetic Sensors


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


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


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


Minh Vo, Aayush Bansal

Deva Ramanan, Srinivasa Narasimhan, Yaser Sheikh

Time Travel: Automatically Organizing and Browsing Massive Visual Data

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

May 27, 2016