Pushpendra Gupta

About

Pushpendra Gupta completed his PhD in the field of Evolutionary Computation and Humanoid Robotics under the joint guidance of Prof. Dilip Kumar Pratihar (Indian Institute of Technology Kharagpur, India) and Prof. Kalyanmoy Deb (Michigan State University, USA). He graduated with honors in Mechanical and Automation from Maharshi Dayanand University, Rohtak, and received his M.Tech degree in Computer Integrated Manufacturing from NIT Agartala, where he was honored with a Gold Medal by the AICTE Chairman for his academic achievements. He has contributed to the research community through publications in SCI journals, conferences, and book chapters from leading publishers such as Elsevier, World Scientific, Taylor & Francis, Wiley, and Springer. He has also co-edited the book "Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications," published by Elsevier in 2025. Currently, he is with the Department of Data Science and Artificial Intelligence at BITS Pilani Digital, Bengaluru. Prior to this, he served as a faculty member at the LNM Institute of Information Technology, Jaipur, Rajasthan, and Modern Institute of Technology and Research Centre, Alwar, Rajasthan. His research interests include, but are not limited to, evolutionary computation, humanoid robotics, soft computing approaches, and their applications in multi-criteria optimization and modeling.

Employment

• LNM Institute of Information Technology Assistant Professor
  2024 - Present
• Modern Institute of Technology & Research Centre Assistant Professor
  2015 - 2017

Education

• Indian Institute of Technology Kharagpur PhD Research Scholar
  2018 - Present
• National Institute of Technology Agartala M.Tech
  2013 - 2015
• Maharshi Dayanand University B Tech
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Many-objective robust gait optimization for a 25-DOFs NAO robot using NSGA-III
  Engineering Optimization 2026 DOI: 10.1080/0305215X.2025.2502574
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• Dynamic performance evaluation of evolutionary multi-objective optimization algorithms for gait cycle optimization of a 25-DOFs NAO humanoid robot
  Swarm and Evolutionary Computation 2025 DOI: 10.1016/j.swevo.2025.102144
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• A Comparative Study of Pareto Front of Optimal Solution Set for NAO Robot’s Gait Optimization Using the Dominance Move Indicator Based on Mixed Integer Programming
  2025 DOI: 10.1007/978-981-96-1158-4_45
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• Advancing ankle–foot orthosis design through biomechanics, robotics, and additive manufacturing: A review
  Biomedical Robots and Devices in Healthcare 2025 DOI: 10.1016/b978-0-443-22206-1.00006-1
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• Biomedical Robots and Devices in Healthcare
  2025 DOI: 10.1016/c2023-0-00581-7
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• Comparative evaluation of deep learning techniques for multistage Alzheimer's prediction from magnetic resonance images
  Biomedical Robots and Devices in Healthcare 2025 DOI: 10.1016/b978-0-443-22206-1.00007-3
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• Soft robotics and computational intelligence: Transformative technologies reshaping biomedical engineering
  Biomedical Robots and Devices in Healthcare 2025 DOI: 10.1016/b978-0-443-22206-1.00008-5
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• A Knee-Based Multi-objective Optimization for Gait Cycle of 25-DOF NAO Humanoid Robot
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-97-3180-0_4
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• Soft robotics and computational intelligence: Transformative technologies reshaping biomedical engineering
  Biomedical Robots and Devices in Healthcare Opportunities and Challenges for Future Applications 2024 DOI: 10.1016/B978-0-443-22206-1.00008-5
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• Multi-objective optimization of rotational magnetorheological abrasive flow finishing process
  Nanofinishing of Materials for Advanced Industrial Applications 2024 DOI: 10.1201/9781003496298-2
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