• Instructional Assistant Professor, Mechanical Engineering
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Arkasma Bandyopadhyay

Educational Background

  • Ph.D., Mechanical Engineering, The University of Texas at Austin — 2020
  • B.S., Mechanical Engineering, Oklahoma State University — 2015.

Research Interests

    • Engineering education
    • Distributed energy systems
    • Building energy systems
    • Ground source heat pump systems
    • Residential demand response
    • Sustainability

Awards & Honors

  • University of Texas at Austin Energy Week Student Research Competition first prize in the ‘Economic, Policy, and Legal Analyses’ category - 2020
  • Worcester Polytechnic Institute (WPI) STEM Faculty Launch program selected participant - 2019
  • University of Texas Graduate School Professional Development Award to present at the ASME International Mechanical Engineering Congress and Exposition - 2018 and 2019
  • University of Texas Graduate Engineering Council (GEC) Travel Grant to present at the 41st International Association for Energy Economics International Meeting, Groningen, Netherlands - 2018
  • Taraknath Das Foundation Grant-in-Aid - 2017-2018
  • Advanced Research Projects Agency – Energy (ARPA-E) Energy Innovation Summit Student Summit Program selected participant - 2017-2018
  • University of Texas Graduate Fellowship - 2015 -2019

Selected Publications

  • Charoenphol, P., Kim, H., and Bandyopadhyay, A. (2023) Was it active learning all along?: Investigating the effectiveness of the mode of exposure to Bloom’s Taxonomy-based assignments in an undergraduate Fluid Mechanics course. Proceedings of the 2023 IEEE Frontiers in Education Conference, College Station, TX. DOI: 10.1109/FIE58773.2023.10343055.
  • Bandyopadhyay, A., Kim, H., and Charoenphol, P. (2023) Work in Progress: Facilitate Improved Student Learning through Bloom’s Taxonomy-based Assignments in an undergraduate Fluids Mechanics Course. Proceedings of the 2023 ASEE Annual Conference, Baltimore, Maryland.
  • Bandyopadhyay, A. and Bhattacharya, A. (2021). Residential Appliance Usage Patterns from Overall Energy Consumption Data: A Statistical Machine Learning Approach. Proceedings of the 2021 ASME International Mechanical Engineering Congress and Exposition, Virtual. Volume 8A: Energy: V08AT08A054. DOI: 10.1115/IMECE2021-70122.
  • Yang, T., Bandyopadhyay, A., O’Neill, et. al. (2021) From occupants to occupants: A review of the occupant information understanding for HVAC occupant-centric control in buildings. Building Simulation, DOI: 10.1007/s12273-021-0861-0.
  • Bandyopadhyay, A., Leibowicz, B.D., and Webber, M.E. (2021) Solar panels and smart thermostats: The power duo of the residential sector? Applied Energy, 290, DOI: 10.1016/j.apenergy.2021.116747.
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