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

  • Kang, Qiao; Sim, Alex; Nugent, Peter; Lee, Sunwoo; Liao, Wei Keng; Agrawal, Ankit; Choudhary, Alok; Wu, Kesheng, Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow, Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020
  • Kang, Qiao; Agrawal, Ankit; Choudhary, Alok; Sim, Alex; Wu, Kesheng; Kettimuthu, Rajkumar; Beckman, Peter H.; Liu, Zhengchun; Liao, Wei Keng, Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
  • Lee, Sunwoo; Kang, Qiao; Madireddy, Sandeep; Balaprakash, Prasanna; Agrawal, Ankit; Choudhary, Alok; Archibald, Richard; Liao, Wei Keng, Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
  • Jha, Dipendra; Choudhary, Kamal; Tavazza, Francesca; Liao, Wei keng; Choudhary, Alok; Campbell, Carelyn; Agrawal, Ankit, Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning, Nature communications
  • Yang, Zijiang; Watari, Tetsushi; Ichigozaki, Daisuke; Morohoshi, Kei; Suga, Yoshinori; Liao, Wei Keng; Choudhary, Alok; Agrawal, Ankit, Data-driven insights from predictive analytics on heterogeneous experimental data of industrial magnetic materials, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019
  • Agrawal, Ankit; Saboo, Abhinav; Xiong, Wei; Olson, Greg; Choudhary, Alok, Martensite start temperature predictor for steels using ensemble data mining, Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019
  • Paul, Arindam; Mozaffar, Mojtaba; Yang, Zijiang; Liao, Wei Keng; Choudhary, Alok; Cao, Jian; Agrawal, Ankit, A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes, Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019
  • Al-Bahrani, Reda; Agrawal, Ankit; Choudhary, Alok, Survivability prediction of colon cancer patients using neural networks, Health Informatics Journal