Hemant Kumar Singh About: Hemant Kumar Singh is an Associate Professor at the School of Engineering and Information Technology at the University of New South Wales (UNSW), Australia. He completed his PhD from UNSW in 2011 and B.Tech in Mechanical Engineering from Indian Institute of Technology (IIT) Kanpur in 2007. He worked with General Electric (GE) Aviation at John F. Welch Technology Centre as a Lead Engineer during 2011-13. His research interests include development of evolutionary computation methods with a focus on engineering design optimization problems. He has over 125 refereed publications this area. He is the recipient of two ARC Discovery Project Grants (2019-22, 2022-24), Endeavour Australia Fellowship 2018 and Australia Bicentennial Fellowship 2016, among others.

Contact

Hemant Kumar Singh, PhD
Associate Professor, SMIEEE, MACM,
School of Engineering and Information Technology(SEIT),
University of New South Wales, Canberra, Australia.
Email: h.singh at adfa.edu.au; VoIP: +61 2 5114 5206

Academic Supervision


Available for supervision of PhD or Masters (by research) in the field of evolutionary computation and design optimization. Related areas of interest include but not limited to: multi-objective optimization, computationally expensive optimization, bilevel optimization, constraint handling, robust optimization, multi-concept optimization. UNSW provides a scholarship of AU$35,000 per annum for selected candidates. Email me if you're interested in pursuing higher degree by research in these topics.

Current HDR students

  • Mr. Kamrul Rahi | PhD Student, Primary Supervisor

Past HDR Students

  • Mr. Rounak Niloy Saha | Masters (research) Student, Primary Supervisor, graduated 2024

  • Dr. Quang Nhat Huynh | PhD Student, Primary Supervisor, graduated 2022

  • Dr. Mohammad Mamun | PhD Student, Co-Supervisor, graduated 2022

  • Mr. Dael Liddcoat | Masters (research) Student, Co-Supervisor, graduated 2022

  • Mr. Kamrul Rahi | Masters (research) Student, Primary Supervisor, graduated 2020

  • Dr. Ahsanul Habib | PhD Student, Co-Supervisor, graduated 2019

  • Dr. Shelvin Chand | PhD Student, Primary Supervisor, graduated 2018

  • Dr. Kalyan Shakar Bhattacharjee | PhD Student, Co-Supervisor, graduated 2018

  • Dr. Md Monjurul Islam | PhD Student, Joint Supervisor, graduated 2018

  • Mrs. Marwa Hassan | Masters (research) Student, Co-Supervisor, graduated 2017

  • Dr. Liu Min | PhD Student, Co-Supervisor, graduated 2014

Teaching


I regularly teach into the following Undergraduate Courses:

  • ZEIT4700 | Mechanical Design 2 (UNSW Canberra Session 1)

  • ZEIT3500 | Engineering Structures (UNSW Canberra Session 2)

  • ZEIT3700 | Mechanical Design 1 (UNSW Canberra Session 2)



Research Interests


  • Multi/many-objective Optimization
  • Constrained Optimization
  • Robust Optimization
  • Multifidelity/Surrogate Assisted Optimization Models
  • Multidisciplinary Design Optimization
  • Evolutionary Bilevel Optimization

Selected Publications

  • Singh, H.K., “Understanding hypervolume behavior theoretically for benchmarking in evolutionary multi/many-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 24, issue 3, pp. 603-610, 2020.
  • Rahi, K.H., Singh, H.K. and Ray, T., “Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization,” IEEE Transactions on Evolutionary Computation, vol. 25, no. 6, pp. 1103-1117, 2021.
  • Singh, H.K., Islam, M.M., Ray, T. and Ryan, M., “Nested evolutionary algorithms for computationally expensive bilevel optimization problems: Variants and their systematic analysis,” Swarm and Evolutionary Computation, vol. 48, pp. 329-344, 2019.
  • Singh, H.K., Bhattacharjee, K.S.,and Ray, T., “Distance based subset selection for benchmarking in evolutionary multi/many-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 23, issue 5, pp. 904-912, 2019.
  • Bhattacharjee, K.S., Singh, H.K., Ryan, M., and Ray, T., “Bridging the gap: Many-objective optimization and informed decision-making,” IEEE Transactions on Evolutionary Computation, vol. 21, issue 5, pp. 813-820, 2017..
  • Islam, M.M., Singh, H.K., Ray, T., “A Surrogate Assisted Approach for Single-objective Bilevel Optimization,” IEEE Transactions on Evolutionary Computation, vol. 21, issue 5, pp. 681-696, 2017.
  • Islam, M.M., Singh, H.K., Ray, T., Sinha, A., “An enhanced memetic algorithm for single objective bilevel optimization problems,” Evolutionary Computation Journal, vol. 25, issue 4, 607-642, 2017.
  • Singh, H.K., Bhattacharjee, K.S. and Ray, T., “A projection based approach for constructing piecewise linear Pareto front approximations”, ASME Journal of Mechanical Design, vol. 138, issue 9, p. 091404, 2016.
  • Bhattacharjee, K.S., Singh, H.K. and Ray, T., “Multi-objective optimization with multiple spatially distributed surrogates” ASME Journal of Mechanical Design, vol. 138, issue 9, p. 091401, 2016
  • Bhattacharjee, K.S., Singh, H.K. and Ray, T., “An Approach to Generate Comprehensive Piecewise Linear Interpolation of Pareto Outcomes to Aid Decision Making”, Journal of Global Optimization, vol. 68, issue 1, pp. 71-93, 2016.
  • Asafuddoula, M., Singh, H.K., and Ray, T., “Six Sigma Robust Design Optimization using a Many-objective Decomposition Based Evolutionary Algorithm.” IEEE Transactions on Evolutionary Computation, vol. 19, issue 4, pp. 490-507, 2015.
  • Singh, H.K.,Isaacs, A. , and Ray, T., “A Pareto corner search evolutionary algorithm and dimensionality reduction in many-objective optimization problems,” IEEE Transactions on Evolutionary Computation, vol. 15, issue 4, pp. 539–556, 2011.