Faculty Directory
Alok Choudhary

Henry and Isabelle Dever Professor of Electrical and Computer Engineering and (by courtesy) 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


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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 is the founder of 4C insights, a data sience and AI software company. 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 40+ 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 of, 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 serves on Secretary of Enegery's Advisory Board on AI.


Selected Publications

  • Zijiang Yang, Yuksel C. Yabansu, Dipendra Jha, Wei-Keng Liao, Alok Nidhi Choudhary, Surya R. Kalidindi, Ankit Agrawal, “Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches”, Acta Materialia, (2019)
  • Arindam Paul, Pinar Acar, Wei-Keng Liao, Alok Nidhi Choudhary, Veera Sundararaghavan, Ankit Agrawal, “Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation”, Computational Materials Science, (2019)
  • Dipendra Jha, Christopher M Wolverton, Logan Ward, Ian Foster, Zijiang Yang, Wei-Keng Liao, Alok Nidhi Choudhary, Ankit Agrawal, “IRNet”, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (2019)
  • Ankit Agrawal, Alok Nidhi Choudhary, “Deep materials informatics”, MRS Communications, (2019)
  • Qiao Kang, Jesper Larsson Trff, Reda Al-Bahrani, Ankit Agrawal, Alok Nidhi Choudhary, Wei-Keng Liao, “Scalable Algorithms for MPI Intergroup Allgather and Allgatherv”, Parallel Computing, (2019)
  • Dianwei Han, Ankit Agrawal, Wei-Keng Liao, Alok Nidhi Choudhary, “Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation”, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, (2019)
  • Sunwoo Lee, Ankit Agrawal, Prasanna Balaprakash, Alok Nidhi Choudhary, Wei-Keng Liao, “Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training”, Proceedings of MLHPC 2018, (2019)
  • Kaiyuan Hou, Reda Al-Bahrani, Esteban Rangel, Ankit Agrawal, Robert Latham, Robert Ross, Alok Nidhi Choudhary, Wei-Keng Liao, “Integration of burst buffer in high-level parallel I/O library for exa-scale computing era”, Proceedings of PDSW-DISCS 2018, (2019)