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

Download CV

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



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).