Current Fellowship Sponsors

bp

BP

Funded by bp, the Ken Kennedy Institute is offering two one-year supplemental fellowships in the amount of $7,500. The industry sponsored, one-year graduate fellowships are available to graduate students pursuing research related to high performance computing, AI, and other related areas of computational science and engineering. Consideration will be given to students with a focus on HPC, software technology, modeling and simulation, data analytics and machine learning, industrial internet of things, and user experience and data visualization.

Past Recipients:

2025/2026
  • Aalokeparno (Aalok) Dhar, Mechanical Engineering
2024/2025
  • Dragana Grbic, Computer Science
2023/2024
  • Sina Alemohammad, Electrical & Computer Engineering
2022/2023
  • Yumeng Liu, Computer Science
  • Zichang (Emma) Liu, Computer Science
2021/2022
  • Shabnam Daghaghi, Electrical & Computer Engineering
  • ZhaoZhuo Xu, Computer Science
2020/2021
  • Alejandro Diaz, Computational & Applied Mathematics
  • Tharun Medini, Electrical & Computer Engineering
2019/2020
  • Randall Balestriero, Electrical & Computer Engineering
  • Christina Taylor, Computational & Applied Mathematics
2018/2019
  • Ao Cai, Earth, Environmental & Planetary Sciences
  • Eleni Litsa, Computer Science
2017/2018
  • Ashesh Chattopadhyay, Mechanical Engineering
  • Beidi Chen, Computer Science
2016/2017
  • Yen Sun, Earth Science
  • Michael Waylandt, Statistics
2015/2016
  • Lai Wei, Computer Science
  • Muhong Zhou, Computational & Applied Mathematics
2014/2015
  • Caleb Magrudger, Computational & Applied Mathematics
  • Chaoran Yang, Computer Science
2013/2014
  • Lei Fu, Computational & Applied Mathematics
  • Jie Hou, Earth Science
2012/2013
  • Xu Liu, Computer Science
  • Muhong Zhou, Computational & Applied Mathematics
2011/2012
  • Rajesh Gandham, Computational & Applied Mathematics
  • Kaijian Liu, Earth Science
2010/2011
  • Xin Wang, Computational & Applied Mathematics
  • Jie "Jane" Zhang, Earth Science
2009/2010
  • Xin Wang, Computational & Applied Mathematics