Hemant Kumar Singh

Hemant Kumar Singh is an Associate Professor at the School of Engineering and Information Technology at the University of New South Wales (UNSW) in Canberra, Australia. He is based at the Australian Defence Force Academy campus and maintains an active research program in evolutionary computation methods for engineering design optimization.

• Institution: University of New South Wales (UNSW)
• School: School of Engineering and Information Technology
• Location: UNSW Canberra, Australian Defence Force Academy
• Email: h.singh@unsw.edu.au

Education:

• PhD, University of New South Wales, Australia, 2011
• B.Tech (Mechanical Engineering), Indian Institute of Technology, Kanpur, India, 2007

Research Interests: Dr. Singh's research focuses on developing efficient evolutionary computation methods for design optimization problems. His primary areas include multi-/many-objective optimization and decision-making, constraint handling in evolutionary algorithms, bilevel optimization, computationally expensive/surrogate-assisted optimization, and multi-concept optimization. His work bridges theoretical advances in optimization with practical engineering applications, particularly in design problems where computational resources are limited.

Publication Trends: Dr. Singh's recent publications (2023-2025) demonstrate a strong focus on advancing multi-objective and bilevel optimization techniques, with particular attention to computationally expensive problems. His work integrates evolutionary algorithms with surrogate modeling, multifidelity approaches, and novel solution representation methods. A significant portion of his recent research addresses the challenge of multi-concept optimization, where design solutions involve fundamentally different conceptual approaches that need to be compared and optimized simultaneously.

Awards and Recognition:

• Outstanding Reviewer Award, ACM Genetic and Evolutionary Computation Conference (GECCO) 2024
• Best Paper Award, IEEE Congress on Evolutionary Computation (CEC) 2023
• Best Paper Nomination, Parallel Problem Solving from Nature (PPSN), 2022
• Winner, Competition on Online Data-driven Multi-objective Optimization, IEEE CEC 2019
• Australia Bicentennial Fellowship 2016
• Endeavour Australia Fellowship 2018

Research Supervision and Grants: Dr. Singh has successfully supervised numerous PhD and Masters students to completion, with many now holding prominent positions in academia and industry. He has secured significant research funding including two ARC Discovery Project Grants (2019-23, 2022-25), an Endeavour Australia Fellowship (2018), and an Australia Bicentennial Fellowship (2016). His research has been supported by collaborations with industry partners and international institutions across Australia, Germany, China, and the United States.

Teaching: Dr. Singh teaches undergraduate courses including ZEIT 3500 Engineering Structures, ZEIT 3700 Mechanical Design 1, and ZEIT 4700 Mechanical Design 2 at UNSW Canberra.