Qualcomm Innovation Fellowship Winners

Congratulations to all of our Fellowship winners!

2026
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009

2026 North American Winners

University Innovation Title Students Faculty Recommender(s)
ASU Democratizing Chip Design with On-Device Small Language Models as Assistants and Agents Bing-Yue Wu & Atmadip Dey Vidya A. Chhabria
CMU Test-Calibrated Thermal Digital Twins for Chiplet 2.5D/3D SoCs Atharva Raut & Je-Wei Chuang Tathagata Srimani & Shawn Blanton
CMU Building Helpful Embodied AI Agents with Long Horizon Understanding Violet (Yinuo) Han & Weiwei Sun Alexandra Ion & Yiming Yang
CMU Training a Generally Curious Personal Agent: Learning What to Remember and What to Ask Yutong (Kelly) He & Fahim Tajwar Ruslan Salakhutdinov
Columbia Learning Physics-Informed Visuo-Tactile World Model for Robot Manipulation Kaifeng Zhang & Binghao Huang Yunzhu Li
Michigan Heterogeneous Electro-optic RF-Optical Front-End for 6G (HERO-6G) Jinze Shi & Yang Lan Di Liang & Haisheng Rong & Mathew J. Dejneka
MIT / CMU Making Modern Cryptography Faster and More Energy-Efficient Through Hardware Acceleration of Modular Arithmetic Kaiwen He & Tianyao Gu Srini Devadas & Elaine Shi
Stanford Safety Guardrails for Reasoning in End-to-End Autonomous Driving Foundation Models Aryaman Gupta & Sathwik Karnik Somil Bansal
Stanford Physically Grounded World Modeling through Controllable Visual Generative Models Zizhang Li & Ziyu Chen Jiajun Wu
Stanford State-Space World Models for Intelligent RAN Muhammad Ahmed Mohsin & Muhammad Umer John M. Cioffi
UCLA Heterogeneous Chiplet-Based Architecture for Fully-Weight-Stationary Compute-in-Memory execution of Billion-Parameter models George Karfakis & Samyak Chakrabarty Puneet Gupta & Sudhakar Pamarti
UCLA Think Deep - Move Fast: Building Vision-Language-Action Model for Generalizable Autonomous Driving with Deep Reasoning and Efficient Action Generation Seth Z. Zhao & Zewei Zhou Bolei Zhou & Jiaqi Ma
UCLA Thermocompression Bonded III-V/Si Integration Platform for Optical, RF/mmWave, and Power Devices Sujoy Ghosh & Daniel McGovern Subramanian S. Iyer & Benjamin Williams
UCSD Reasoning Compiler: LLM-Guided Optimizations for Efficient Model Serving Sujun Tang & Christopher Priebe Hadi Esmaeilzadeh
UCSD K-MEM: Synergizing Agentic Textual Memory with KV-Cache Reuse for Long-Horizon Agents Nilesh Prasad Pandey & Lanxiang Hu Tajana Rosing & Hao Zhang
UCSD When Multimodal Sensing Meets the RAN: Sensing-to-Action Autonomy at the Edge Ushasi Ghosh & Sreevatsank Kadaveru Dinesh Bharadia & Aaron Schulman

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 relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Our leading-edge AI, high performance, low-power computing, and unrivaled connectivity deliver proven solutions that transform major industries. At Qualcomm, we are engineering human progress.

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