Sourabh Mandol

About

Dr. Sourabh Mandol is a Postdoctoral Researcher at the Tribo-Systems for Industrial Tools and Machinery Research Laboratory, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut’s University of Technology North Bangkok. His current industry-sponsored research, supported by Thailand's PMU-B, focuses on surface modification of high-entropy alloy coatings by laser treatment after thermal spraying, expanding his expertise in advanced materials, manufacturing processes, and triboinformatics. He holds a Ph.D. in Product Design & Development from the Indian Institute of Technology Kharagpur, where his research focused on computer-aided engineering modeling and analysis for eco-designing hybrid electric vehicles.

Prior to his postdoctoral role, Dr. Mandol served as an Assistant Professor at Symbiosis Institute of Business Management, Symbiosis International (Deemed University), specializing in data analytics, machine learning, and engineering. His academic career also includes Assistant Professor positions at Woxsen University and Alliance University's College of Engineering and Design, where he developed courses in Data-Driven Decision Making, Analytics, Product Design and Realization, Design Thinking, and Computer Integrated Manufacturing. He has also worked as a Research Assistant at IIT Kharagpur, contributing to projects involving data analytics and machine learning in engineering contexts. His expertise spans data-driven modeling, statistical analysis, multidisciplinary design optimization, and soft computing techniques. His research interests include advanced data analytics for complex systems, digital twin technology, machine learning applications in manufacturing and sustainable product design, and triboinformatics.

Dr. Mandol has published several papers in reputed journals and presented at international conferences. His work encompasses topics such as multi-surrogate optimization, ecodesigning, and knowledge-augmented design refinement methodologies. He is also involved in patenting innovative technologies and has contributed to book chapters on AI applications in manufacturing. With a strong background in both academia and research, Dr. Mandol is committed to advancing the integration of data science and engineering principles to drive innovation and solve complex business challenges.

Employment

• King Mongkut's University of Technology North Bangkok Post Doctoral Research Fellow
  2025 - 2026
• Symbiosis International University Assistant Professor
  2025 - 2025
• Woxsen University Assistant Professor
  2024 - 2024
• Alliance University Assistant Professor
  2022 - 2024
• Indian Institute of Technology Kharagpur Research Scholar
  2015 - 2022
• West Bengal University of Technology Teaching Assistant
  2014 - 2015

Education

• Indian Institute of Technology Kharagpur PhD
  2015 - 2022
• West Bengal University of Technology M.Tech.
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Meta-model-based optimization of rule-based energy management in second-hand plug-in hybrid electric vehicles
  Data Science and Management 2025 DOI: 10.1016/j.dsm.2024.12.003
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• Battery management
  Electric Vehicle Technology Structure, Instrumentation and Challenges 2024
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• Failure prediction of geared mechanism at multiple gearshift configuration by utilizing the experimental design and integer programming method
  International Journal on Interactive Design and Manufacturing 2024 DOI: 10.1007/s12008-024-02093-6
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• Introduction to additive manufacturing technologies
  A Textbook on Additive Manufacturing Technologies 2024
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• Optimization-Based Ecodesigning of a Plugin Hybrid Electric Vehicle with Frugal Engineering for Emerging Economy Market
  Smart Innovation, Systems and Technologies 2023 DOI: 10.1007/978-981-99-0264-4_9
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• Modeling for design simplification and power-flow efficiency improvement in an automotive planetary gearbox: A case example
  FME Transactions 2020 DOI: 10.5937/fme2003707T
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• Devising product design architecture strategies: case of HEV powertrain
  Smart Innovation, Systems and Technologies 2019 DOI: 10.1007/978-981-13-5974-3_20
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• TRANSMISSION POWER MANAGEMENT IN POWER-SPLIT HYBRID ELECTRIC VEHICLE USING RESPONSE SURFACE METHOD AND DATA DRIVEN DESIGN SYNTHESIS
  Energy Proceedings 2019 DOI: 10.46855/energy-proceedings-3511
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• Deriving optimal transmission architecture of planetary gear assembly by mathematical modelling of design parameters
  IOP Conference Series: Materials Science and Engineering 2018 DOI: 10.1088/1757-899X/393/1/012062
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• Engineering simulation for product design and development in cyber-physical context: A case-based study
  Proceedings of International Conference on Computers and Industrial Engineering, CIE 2018
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