Dr. Abhishek Gupta

Designation : Ramanujan Fellow

Broad Area of Expertise : Mechanical Engineering

Email : abhishekgupta{at}iitgoa.ac.in

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Educational Qualifications

  1. PhD in Engineering Science, University of Auckland, New Zealand (2014)
  2. B.Tech., National Institute of Technology Rourkela, India (2010)

Areas of Research

Physics-informed learning for scientific computation; Randomized search and optimization algorithms; Bayesian optimization

Courses Taught

  • ME627: Introduction to Neural Networks for Computational Mechanics

Professional Appointments

  1. Scientist, Agency for Science, Technology and Research (A*STAR), Singapore (Dec 2018 - June 2023)
  2. Research Scientist, School of Computer Science and Engineering, Nanyang Technological University, Singapore (Nov 2016 - Nov 2018)
  3. Postdoctoral Research Fellow, Rolls-Royce@NTU Corporate Lab, NTU Singapore (Jan 2016 to Oct 2016)
  4. Postdoctoral Research Fellow, SIMTech-NTU Joint Lab on Complex Systems, NTU Singapore (Jun 2014 to Dec 2015)

Recent Publications

  1. Abhishek Gupta and Barada Kanta Mishra. "Multi-head neural networks for simulating particle breakage dynamics." Theoretical and Applied Mechanics Letters 14, no. 2 (2024): 100515.
  2. Jiao Liu, Abhishek Gupta, Chinchun Ooi, and Yew-Soon Ong. "ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence." IEEE Transactions on Evolutionary Computation (2024).
  3. Bingshui Da, Chen Wang, Yew Soon Ong, and Abhishek Gupta. "Exploiting local inter-task relationships in adaptive multi-task learning." U.S. Patent 11,727,301, issued August 15, 2023.
  4. Chin Sheng Tan, Abhishek Gupta, Yew-Soon Ong, Mahardhika Pratama, Puay Siew Tan, and Siew Kei Lam. "Pareto optimization with small data by learning across common objective spaces." Scientific Reports 13, no. 1 (2023): 7842.
  5. Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, and Yew-Soon Ong. "Learning in sinusoidal spaces with physics-informed neural networks." IEEE Transactions on Artificial Intelligence (2022).
  6. Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, and Yaqing Hou. "Half a dozen real-world applications of evolutionary multitasking, and more." IEEE Computational Intelligence Magazine 17, no. 2 (2022): 49-66.
  7. Jian Cheng Wong, Abhishek Gupta, and Yew-Soon Ong. "Can transfer neuroevolution tractably solve your differential equations?." IEEE Computational Intelligence Magazine 16, no. 2 (2021): 14-30.
  8. Alan Tan Wei Min, Abhishek Gupta, and Yew-Soon Ong. "Generalizing transfer Bayesian optimization to source-target heterogeneity." IEEE Transactions on Automation Science and Engineering 18, no. 4 (2020): 1754-1765.
  9. Alan Tan Wei Min, Ramon Sagarna, Abhishek Gupta, Yew-Soon Ong, and Chi Keong Goh. "Knowledge transfer through machine learning in aircraft design." IEEE Computational Intelligence Magazine 12, no. 4 (2017): 48-60.

Recognition and Awards

  1. Included in the list of World's Top 2% Scientists by citation for 2024 and 2023, identified based on Scopus data
  2. 2023 IEEE Transactions on Evolutionary Computation Outstanding Paper Award
  3. 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Award
  4. Associate Editor, IEEE Transactions on Evolutionary Computation (2023-present)
  5. Recipient of the 2023 and the 2021 Outstanding Associate Editor Award from the IEEE Transactions on Emerging Topics in Computational Intelligence
  6. IEEE Senior Member
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