QInF 2017 US

2017 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.

Winners Day
Participating Universities
Areas of Interest

The QInF 2017 Winners day will be held at the Qualcomm headquarters in San Diego on October 12, 2017.
All winning teams will participate in the following activities:

  • 2016 winning teams will present a summary of their accomplishments in a 12-minute presentation (plus 2 minutes for Q&A)
  • 2017 winning teams will present a summary of the proposal in a short 5-minute presentation
  • All teams will participate in the poster session

The submission site is open for teams to submit presentation slides and posters for the Winners Day event. Submissions are due by 10/2/2017.
Submissions should be a single ZIP file with extension name *2017WinnersDay and containing the following:

  • Presentation slides in PDF or PowerPoint format. The projector supports both 16:9 and 4:3 formats
  • Up to two posters (24”X36”) in PowerPoint, or PDF format

Due to the presentation setup and to minimize the switching time between teams, you will not be able to use your own laptop for the presentation.

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

Qualcomm is inviting applications for the Qualcomm Innovation Fellowship 2017 from outstanding 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)
  • 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

We invite teams to submit proposals focusing on a number of specific areas within EE and CS (and related areas), which fall into the following broad categories. Note that while we solicit proposals for specific sub-areas, we also explicitly welcome other sub-areas that fit into these categories:

Mobile Applications, App Enablers and User Interfaces:

  • Intelligent transportation
  • Health care, drug and treatment
  • Big data visualization and management
  • Wearables, natural user interface, touchless interface
  • Personal clouds
  • Crowd sourcing
  • Biometrics and Mobile commerce
  • Cyber foraging, resource discovery
  • Mobile application construction, architecture and deployment
  • Shared experiences with multiple devices

Computer Vision and Machine Vision:

  • Full Skeleton (hands included) and Human body capture and tracking
  • Multimodal sensor fusion for precise 6DOF estimation
  • 3D perception, reconstruction and geometry interpretation
  • Scene understanding in images and videos using deep learning techniques
  • Light-fields capture, processing and compression

Software System Architecture:

  • Mobile Computing languages, compilers and tools
  • HW/SW co-design for heterogeneous systems, acceleration of deep learning based workloads, etc.
  • Parallel and heterogeneous programming: models, frameworks, runtimes
  • Innovations in configuration, testing, and deployment that streamline OS, compiler or driver development
  • Custom architectures, programming models and runtimes for autonomous drones and robots
  • Power efficient computing
  • Architectures, programming models and run-times for high performance mobile AR/VR, distributed and heterogeneous training of deep learning networks, execution of deep learning networks on mobile devices, etc.

Internet of Things:

  • IoT analytics
  • IoT middleware
  • Connected Home/ Smart Home
  • Wireless Docking
  • Heterogeneous Mesh Networks
  • Sensor networks
  • Automotive connectivity and infotainment
  • Smart Cities and Industrial Internet
  • Smart Energy/Smart Grid
  • Energy Harvesting
  • Innovations in configuration, testing, and deployment that streamline IoT development

Machine Learning:

  • Advances in understanding and optimization of deep learning architectures
  • Machine learning with memory / compute / data constraints
  • Representation learning, Transfer learning, Reinforcement learning
  • Innovations in configuration and deployment that further the advancement of learning platforms
  • Unique tools for visualization and testing neural networks

Mobile and Cloud Security and Privacy:

  • Malware Detection
  • New exploits and vulnerability mitigation on mobile devices
  • Behavioral analysis and machine learning for security
  • Program analysis for security including static, dynamic, concolic, etc.
  • Network Security for mobile devices and network appliance
  • IoT security
  • Mobile Privacy
  • Adversarial machine learning for security
  • Mitigations to cache side-channel and fault attacks in the cloud
  • Biometric and multi-factor authentication
  • Efficient implementation/acceleration of cryptographic primitives for mobile and cloud

Robotics and UAV:

  • Collision Avoidance
  • Path Planning
  • Collaborative positioning, planning, and task scheduling
  • Autonomous Systems
  • Indoor Navigation
  • Flight/drones
  • SLAM
  • Service Robots
  • Healthcare robots
  • Unique tools and virtual environments for visualization and testing robots

Processor Architecture and Implementation:

  • Low power server architectures
  • Low power multi-processor/multi-core designs
  • Cache, memory & interconnect subsystems for supporting above
  • HW/SW co-design for heterogeneous systems
  • Energy-efficient, high-performance micro-architecture & circuits
  • Dynamic reconfigurable micro-architecture
  • Emerging technology (e.g. STT-MRAM, PCM, near-and sub-threshold, etc.)
  • Resilient & fault-tolerant architecture & design
  • Alternative or optimized ISA’s for supporting (current & future) mobile use cases
  • Processor modeling & simulation for power, performance & area

Advanced Semiconductor Electronics, Devices and Materials Research:

  • Modeling and simulations of semiconductor devices
  • Monolayer electronics
  • Spintronics (novel devices and circuit design)
  • Emerging memory technology (cell design, process, memory architecture)
  • Flexible/printable electronics
  • Next generation 3DIC technology, design and automation
  • Thermal management (modeling, materials and innovative heat dissipation technologies)
  • Optical I/O and photonics
  • Implantable, eatable, injectable bio-electronics (bio-sensors, electroceuticals, diagnosis and drug delivery systems)
  • Portable DNA sensing/analytics
  • Quantum computing devices
  • MEMS sensors
  • New materials (multiferroics, metamaterials)

Advances in Communication Techniques & Theory:

  • Small cells
  • Interference Management among multiple base-stations
  • Proximal Communication among peer nodes
  • Multi-hop/Mesh networks
  • Network coding for wireless networks
  • Wide-area wireless networks using high-frequency spectrum
  • Wireless systems for unlicensed/shared spectrum
  • Dynamic wireless multicast
  • mm-wave techniques
  • Massive MIMO and network MIMO, Orthogonal and non-orthogonal waveform studies
  • Low Energy Networks (e.g., Bluetooth LE, 802.15.4, Zigbee, Wi-Fi)
  • Advancements in test bench development and test automation of Wi-Fi, RF and protocol stacks

RF-Related Topics:

  • Low-cost radio
  • RF Applications for Graphene
  • Innovative PA Design
  • Adaptive RF Matching
  • Low power wake-up receiver architectures
  • mm-wave RF architectures
  • Antenna Design
  • Efficient transceivers across bands

Finalists’ announcements: February 15, 2017

Finalists’ presentations submission site opens: March 1, 2017

Finalists’ presentations submission deadline: March 22, 2017

Finalists’ presentations: April 5-6, 2017

Winners’ announcement: April 2017

QInF Winners’ Day: September 2017

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