Faculty Directory
Alok Choudhary

Harold Washington Professor of Electrical and Computer Engineering and Computer Science

Contact

2145 Sheridan Road
Tech Room L469
Evanston, IL 60208-3109

847-467-4129Email Alok Choudhary

Website

Alok Choudhary's Homepage

Center for Ultra-scale Computing and Information Security (CUCIS)

Departments

Electrical and Computer Engineering

Computer Science

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Education

Ph.D. Computer Engineering, University of Illinois, Urbana-Champaign, IL

M.S. Computer Engineering, University of Massachusetts, Amherst, MA

B.E. (Hons) Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, India


Research Interests

Prof. Alok Choudhary is both a professor and an entrepreneur. Dr. Alok Choudhary was the founder of 4C insights, a data science and AI software company, which was acquired by MediaOcean in 2020. Prof. Alok Choudhary's research over the last decades focused on big data science, supercomputing, scalable data mining, Machine Learning, AI and their applications in sciences (e.g. climate understanding, astrophysics, designing materials etc.), medicine (e.g, understanding diseases causes, outcome predictions, drug design etc.) and business applications (e.g, business intelligence, marketing, advertising).Dr. Alok Choudhary has published more than 400 papers in various journals and international conferences and has graduated 45+ PhD students, including 10 women PhDs, which is one of the highest in the world. He holds several patents. His papers have received the best paper awards in many conferences. He has given keynotes in almost all major international conferences in his fields, and given more than 50 invited talks at conferences, businesses and universities. Dr. Choudhary’s work has also appeared in main stream media including New York Times, Chicago Tribune, The Telegraph, The Investor Business Daily, ABC, NPR, PBS and many international media outlets all over the world.

He has received numerous prestigious awards including National Science Foundation's Presidential Young Investigator Award, IEEE Engineering Foundation award, an IBM Faculty award, and an Intel Research Council award. He is a fellow of IEEE, ACM and American Academy of Sciences (one of a few professors who is a fellow of top engineering, computer science and science societies). He received the distinguished Alumni award from Birla Institute of Technology and Science and Technology, Pilani, India in 2016. In 2017, Prof. Choudhary was listed by AdWeek as a “trailblazer and pioneer” in marketing technology. Prof Choudhary was also awarded with the “Technology Manager of The Year in Chicago”, at the TIMMY awards in 2018. H served on Secretary of Energy's Advisory Board on AI.


Selected Publications

  • Day, Alexandra L.; Wahl, Carolin B.; Gupta, Vishu; Dos Reis, Roberto; Liao, Wei Keng; Mirkin, Chad A.; Dravid, Vinayak P.; Choudhary, Alok; Agrawal, Ankit, Machine Learning-Enabled Image Classification for Automated Electron Microscopy, Microscopy and Microanalysis (2024).
  • Gupta, Vishu; Liao, Wei keng; Choudhary, Alok; Agrawal, Ankit, Evolution of artificial intelligence for application in contemporary materials science, MRS Communications (2023).
  • Gupta, Vishu; Peltekian, Alec; Liao, Wei keng; Choudhary, Alok; Agrawal, Ankit, Improving deep learning model performance under parametric constraints for materials informatics applications, Scientific reports (2023).
  • Choudhary, Alok; Fox, Geoffrey; Hey, Tony, Artificial intelligence for science, World Scientific Publishing Co. Pte Ltd (2023).
  • Choudhary, Kamal; DeCost, Brian; Chen, Chi; Jain, Anubhav; Tavazza, Francesca; Cohn, Ryan; Park, Cheol Woo; Choudhary, Alok; Agrawal, Ankit; Billinge, Simon J.L.; Holm, Elizabeth; Ong, Shyue Ping; Wolverton, Chris, Recent advances and applications of deep learning methods in materials science, npj Computational Materials (2022).
  • Gupta, Vishu; Choudhary, Kamal; Mao, Yuwei; Wang, Kewei; Tavazza, Francesca; Campbell, Carelyn; Liao, Wei Keng; Choudhary, Alok; Agrawal, Ankit, MPpredictor, Journal of Chemical Information and Modeling (2023).
  • Jha, Dipendra; Gupta, Vishu; Liao, Wei keng; Choudhary, Alok; Agrawal, Ankit, Moving closer to experimental level materials property prediction using AI, Scientific reports (2022).
  • Lee, Sunwoo; Kang, Qiao; Al-Bahrani, Reda; Agrawal, Ankit; Choudhary, Alok; Liao, Wei keng, Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency, Journal of Parallel and Distributed Computing (2022).
  • Gupta, Vishu; Choudhary, Kamal; Tavazza, Francesca; Campbell, Carelyn; Liao, Wei keng; Choudhary, Alok; Agrawal, Ankit, Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data, Nature communications (2021).
  • Jha, Dipendra; Gupta, Vishu; Ward, Logan; Yang, Zijiang; Wolverton, Christopher; Foster, Ian; Liao, Wei keng; Choudhary, Alok; Agrawal, Ankit, Enabling deeper learning on big data for materials informatics applications, Scientific reports (2021).