2023 North America Program Details
2023 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 innovation, execution and teamwork. Our goal is to enable students to pursue their futuristic innovative ideas.
2023 North American Winners
Congratulations to the 18 winning teams of Qualcomm Innovation Fellowship North America 2023!
We commend each of the finalists on excellent presentations and quality proposals.
Shuaifeng Jiang
ML Designs for Robust and Generalizable CSI feedback and Beam Management Across Environments and Devices
ASU
Hao Luo
ML Designs for Robust and Generalizable CSI feedback and Beam Management Across Environments and Devices
ASU
Harideep Nair
Neuromorphic Intelligent Sensory Processing Chiplets for Edge AI Devices
CMU
Prabhu Vellaisamy
Neuromorphic Intelligent Sensory Processing Chiplets for Edge AI Devices
CMU
Yiwei Lyu
Safe Interaction for Autonomous Vehicles and Human-driven Cars
CMU
Simin Liu
Safe Interaction for Autonomous Vehicles and Human-driven Cars
CMU
Payman Behnam
SUSHI: Model-System-Accelerator Co-Design for Real-Time Latency/Accuracy Navigation in Edge Applications
Georgia Tech
Jianming Tong
SUSHI: Model-System-Accelerator Co-Design for Real-Time Latency/Accuracy Navigation in Edge Applications
Georgia Tech
Jiale Zhang
UltraMic: Privacy-preserving Indoor Activity Tracking and Recognition with Microphone Array
Michigan
Cameron Haire
UltraMic: Privacy-preserving Indoor Activity Tracking and Recognition with Microphone Array
Michigan
Jiadi Zhu
Low-temperature Heterogenous Integration of MoS2 Transistors on Silicon CMOS circuits for RF Energy Harvesting
MIT
Hae Won Lee
Low-temperature Heterogenous Integration of MoS2 Transistors on Silicon CMOS circuits for RF Energy Harvesting
MIT
Tzofi Klinghoffer
Enabling Novel XR Experiences with Time-of-flight Sensing
MIT
Kushagra Tiwary
Enabling Novel XR Experiences with Time-of-flight Sensing
MIT
Fin Amin
Custom Reinforcement Learning Agents and Policy Optimizers for 2.5D and 3D Floorplanning in Electronic Design Automation
NCSU
Tse-Han Pan
Custom Reinforcement Learning Agents and Policy Optimizers for 2.5D and 3D Floorplanning in Electronic Design Automation
NCSU
Joseph Carlson
Hybrid beamforming using dynamic metasurface antennas for wideband massive MIMO systems
NCSU
Nitish Deshpande
Hybrid beamforming using dynamic metasurface antennas for wideband massive MIMO systems
NCSU
Utkarsh Sharma
Time-Domain Resolution Enabling High-Speed High-Resolution ADCs
UCLA
Kshitiz Tyagi
Time-Domain Resolution Enabling High-Speed High-Resolution ADCs
UCLA
Pan Lu
Toward Verifiable Reasoning for Natural Language
UCLA
Jiacheng Liu
Toward Verifiable Reasoning for Natural Language
Washington
Matthew Dupree
IEA-Plot for Test Data Analytics
UCSB
Min Jian Yang
IEA-Plot for Test Data Analytics
UCSB
Mahmoud Hmada
A Novel Adaptive Voltage Gate Drivers for Series-Capacitor Buck Converters Suited for Wide Conversion Ratio and High Output Power Applications with Wide Load Current Support
UCSD
Wenchin Liu
A Novel Adaptive Voltage Gate Drivers for Series-Capacitor Buck Converters Suited for Wide Conversion Ratio and High Output Power Applications with Wide Load Current Support
UCSD
Yang Fu
Learning Generalization Robot Manipulation from Human Videos
UCSD
Yuzhe Qin
Learning Generalization Robot Manipulation from Human Videos
UCSD
Kunal Gupta
Topology Methods for Neural Implicits
UCSD
Ishit Mehta
Topology Methods for Neural Implicits
UCSD
Andres Meza
Facilitating Security Verification via Hyperflow Analysis
UCSD
Colin Drewes
Facilitating Security Verification via Hyperflow Analysis
Stanford
Yaoyao Ding
Dynamic Deep Neural Network Compilation
University of Toronto
Bojian Zheng
Dynamic Deep Neural Network Compilation
University of Toronto
Erika Susana Alcorta Lozano
Proactive ML-Based Runtime Management of Heterogeneous MPSoCs
UT Austin
Matthew Barondeau
Proactive ML-Based Runtime Management of Heterogeneous MPSoCs
UT Austin
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 28, 2016 | 1:35
