Deepanshu Yadav

About

Dr. Deepanshu Yadav is a postdoc researcher at University of Alabama (UA) at Tuscaloosa, USA. He has another postdoc experience at Michigan State University (MSU), USA. He completed his M.S. and Ph.D. degree at Department of Engineering Design, Indian Institute of Technology Madras. His research interests include Optimization, Decision-making, Machine Learning, Benchmarking, and Uncertainty Quantification.

Employment

• University of Alabama Postdoc
  2026 - Present
• Michigan State University Postdoc
  2025 - 2026
• IIT Madras Senior Project Officier
  2025 - 2025
• Vedanta Aluminium Limited Assistant Manager
  2016 - 2018

Education

• Indian Institute of Technology Madras Ph.D.
  2019 - 2024
• Indian Institute of Technology Madras M.S.
  2019 - 2024
• National Institute of Technology Kurukshetra B.Tech.
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Multi-Objective Aerothermal Optimization of Blunt Body in Hypersonic Flow
  Venkatesh Raghunathan, K. Shruti Rao, Ankith A. Joshi +3 more
  Journal of Thermophysics and Heat Transfer 2026 DOI: 10.2514/1.T7366
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• A Machine-based Decision-maker Toward Benchmarking Interactive Multi-criterion Decision-making Procedures
  ACM Transactions on Evolutionary Learning and Optimization 2026 DOI: 10.1145/3844613
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• Advances in Multi-Objective Optimization and Decision-Making
  2026 DOI: 10.1145/3795101.3807736
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• Benchmarking Interactive Multi-Criterion Decision-Making Procedures Following Machine Learning-Based Decision-Maker
  2026 DOI: 10.1145/3795095.3805101
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• pMachine-DM: A Stochastic Machine Learning-Based Decision-Maker for Interactive Multi-Criterion Decision-Making
  2026 DOI: 10.1145/3795101.3805303
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• Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective Optimization
  Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb
  2025 DOI: 10.1145/3712256.3726462
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• Handling objective preference and variable uncertainty in evolutionary multi-objective optimization
  Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb
  Swarm and Evolutionary Computation 2025 DOI: 10.1016/j.swevo.2025.101860
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• Reliability-Based MCDM Using Objective Preferences Under Variable Uncertainty
  Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb
  2025 DOI: 10.1007/978-981-96-3538-2_16
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• An Updated Performance Metric for Preference-Based Evolutionary Multi-Objective Optimization Algorithms
  Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb
  2024 DOI: 10.1145/3638529.3654031
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• Adaptive sampling based estimation of small probability of failure using interpretable Self-Organising Map
  Deepanshu Yadav, Kannan Sekar, Palaniappan Ramu
  Structural Safety 2024 DOI: 10.1016/j.strusafe.2024.102470
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• Finding Robust Solutions for Many-Objective Optimization Using NSGA-III
  2023 IEEE Congress on Evolutionary Computation, CEC 2023 2023 DOI: 10.1109/CEC53210.2023.10254160
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• Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-Race
  Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb
  Applied Soft Computing 2023 DOI: 10.1016/j.asoc.2023.111032
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• Multi-objective robust optimization and decision-making using evolutionary algorithms
  Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb
  GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference 2023 DOI: 10.1145/3583131.3590420
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• Visualization-aided multi-criteria decision-making using interpretable self-organizing maps
  Deepanshu Yadav, Deepak Nagar, Palaniappan Ramu +1 more
  European Journal of Operational Research 2023 DOI: 10.1016/j.ejor.2023.01.062
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• Scarce Sample-Based Reliability Estimation and Optimization Using Importance Sampling
  Mathematical and Computational Applications 2022 DOI: 10.3390/mca27060099
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• Small failure probability: principles, progress and perspectives
  Structural and Multidisciplinary Optimization 2022 DOI: 10.1007/s00158-022-03431-6
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• Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto Race
  Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 2022 DOI: 10.1109/SSCI51031.2022.10022083
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