Journal: Machine Learning: Science and Technology
Bio
Dr. Arpan Biswas completed his PhD from Oregon State University in Mechanical Engineering- specialized in Design and Minor Statistics, before he joined ORNL as Postdoctoral Research Associate
Before coming to study in USA, he completed his bachelor degree in Mechanical Engineering from West Bengal University of Technology in 2012 and thereafter worked as a Software engineer for 3 years in Accenture.
- Broad domain in design problem formulation-objectives, constraints etc (computational) from problem statement (scratch), appropriate optimization algorithm selection, enhancement, and development to solve for large scale real-world problems.
- Design problem optimization algorithm development with global trade-off between solution accuracy (reliability) vs cost (practical applicability).
- Unsupervised deep learning-based feature engineering from large scale complex data.
- Combined approach: Efficient design/optimization algorithm + ML/statistical applications + physics/domain knowledge – attempt to learn faster and better with lesser data (expensive evaluations/sampling/experiments).
- Model Development/ Practical Application:
- Simulation-based Design (Probabilistic) and Nested Robust Optimization: Renewable Hydro-Energy System (Multi-Reservoir Columbia River System)
- Data-driven (ML), domain knowledge driven, Nested, Meta-model-based design (Probabilistic) of Rapid Structural Assessment (Constraint finding) and Optimization: diffusion bonded Compact Heat Exchanger
- Nested Optimization: Integrated Resilience based Complex System- Multirotor Drone model
- Data-driven (ML), Physics-driven, meta-model-based optimization, automated experiments, and deep learning-based feature analysis (Probabilistic): Material Systems – Ferroelectric (BTO), Antiferroelectric (PZO), multi-ferroic (BFO), Oxide Samples, Graphene, Plasmonic Nanoparticles, thin films
Awards
Academic Excellence- Dean’s Honor List for Winter 2020 by maintaining GPA above 3.75 with course load of 12+ credits
Publications
Journal: Journal of Applied Physics
Journal: APL Machine Learning
Journal: Machine Learning: Science and Technology
Other Publications
Journal Papers:
Biswas, A., Fuentes, C., and Hoyle, C. (May 4, 2022). "A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems." ASME. J. Comput. Inf. Sci. Eng. doi: https://doi.org/10.1115/1.4054480
Biswas, A., Fuentes, C., and Hoyle, C. (July 15, 2021). "A MO-BAYESIAN OPTIMIZATION APPROACH USING THE WEIGHTED TCHEBYCHEFF METHOD." ASME. J. Mech. Des. doi: https://doi.org/10.1115/1.4051787
Hulse, D, Biswas, Arpan, Hoyle, C, Tumer, Irem Y., Kulkarni, C, Goebel, K, (May 26, 2021)" Exploring Architectures for Integrated Resilience Optimization", Journal of Aerospace Information Systems, AIAA
Biswas, Arpan, and Hoyle, C. (February 8, 2021). "An Approach to Bayesian Optimization for Design Feasibility Check on Discontinuous Black-Box Functions." ASME. J. Mech. Des. March 2021; 143(3): 031716. https://doi.org/10.1115/1.4049742
Biswas, Arpan, Chen, Y., Gibson, N., and Hoyle, C. "Bi-Level Flexible-Robust Optimization for Energy Allocation Problems." ASME. ASME J. Risk Uncertainty Part B. doi: https://doi.org/10.1115/1.4046269
Conference Papers:
Biswas, Arpan, Fuentes, C, & Hoyle, C. "An Approach to Bayesian Optimization in Optimizing Weighted Tchebycheff Multi-Objective Black-Box Functions." Proceedings of the ASME 2020 International Mechanical Engineering Congress and Exposition. Volume 6: Design, Systems, and Complexity. Virtual, Online. November 16–19, 2020. V006T06A030. ASME. https://doi.org/10.1115/IMECE2020-23414
Biswas, Arpan, and Hoyle, Christopher. "A Literature Review: Solving Constrained Non-Linear Bi-Level Optimization Problems With Classical Methods." Proceedings of the ASME 2019 IDETC Conference. Volume 2B: 45th Design Automation Conference. V02BT03A025 ASME. https://doi.org/10.1115/DETC2019-97192
Biswas, Arpan, Chen, Yong, and Hoyle, Christopher. "A Bi-Level Optimization Approach for Energy Allocation Problems." Proceedings of the ASME 2018 IDETC Conference. Volume 2B: 44th Design Automation Conference. V02BT03A041. ASME.
https://doi.org/10.1115/DETC2018-85139
Biswas, Arpan, Chen, Yong, and Hoyle, Christopher. "An Approach to Flexible-Robust Optimization of Large-Scale Systems." Proceedings of the ASME 2017 IDETC Conference. Volume 2B: 43rd Design Automation Conference. V02BT03A045. ASME. https://doi.org/10.1115/DETC2017-67221