Faculty Directory
Alok Choudhary

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


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

847-467-4129Email Alok Choudhary


Alok Choudhary's Homepage

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


Electrical and Computer Engineering

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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's research over the last  decades focused on big data science, supercomputing, scalable data mining, Machine Learning and their applications in sciences (e.g. climate understanding, astrophysics, cosmology, designing materials etc.), medicine (e.g, understanding diseases causes, outcome predictions, drug design, surgeries 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. Dr. Alok Choudhary is the founder, chairman and chief scientist of 4C insights.

Selected Publications

  • Arindam Paul, Pinar Acar, Ruoqian Liu, Wei-Keng Liao, Alok Nidhi Choudhary, Veera Sundararaghavan, Ankit Agrawal, “Data samplingschemes formicrostructure designwith vibrational tuning constraints”, AIAA Journal, (2018)
  • Zijiang Yang, Yuksel C. Yabansu, Reda Al-Bahrani, Wei-Keng Liao, Alok Nidhi Choudhary, Surya R. Kalidindi, Ankit Agrawal, “Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets”, Computational Materials Science, (2018)
  • Tatiana V. Martsinkevich, Balazs Gerofi, Guo Yuan Lien, Seiya Nishizawa, Wei-Keng Liao, Takemasa Miyoshi, Hirofumi Tomita, Yutaka Ishikawa, Alok Nidhi Choudhary, “DTF”, High Performance Computing - 33rd International Conference, ISC High Performance 2018, Proceedings, (2018)
  • Ankit Agrawal, Alok Nidhi Choudhary, “An online tool for predicting fatigue strength of steel alloys based on ensemble data mining”, International Journal of Fatigue, (2018)
  • Al'ona Furmanchuk, James E. Saal, Jeff W. Doak, Gregory B. Olson, Alok Choudhary, Ankit Agrawal, “Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry”, Journal of Computational Chemistry, (2018)
  • Qiang Ni, Alok Nidhi Choudhary, Klimis Ntalianis, Hui Yu, “Message from the CPSCom-2017 Program Chairs”, Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017, (2018)
  • Esteban Rangel, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Wei-Keng Liao, Ankit Agrawal, Alok Nidhi Choudhary, “Building halo merger trees from the Q continuum simulation”, Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017, (2018)
  • Sunwoo Lee, Dipendra Jha, Ankit Agrawal, Alok Nidhi Choudhary, Wei-Keng Liao, “Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication”, Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017, (2018)