Prashanta Dutta

  1. Richard Schneider Jr. Professor
  2. Director, NRT-LEAD Program
  3. Project Director, GAANN-STAR
  4. Affiliate Professor, Dept of Mathematics and Statistics
Email Addressprashanta@wsu.edu
LocationEME B27

Biography

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Education

  • Ph.D. in Mechanical Engineering, Texas A&M University, 2001
  • M.S. in Mechanical Engineering, University of South Carolina, Columbia, SC, USA, 1997
  • M.S.M.E. in Mechanical Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, 1996
  • B.S.M.E. in Mechanical Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, 1994

Research Interests

  • Microfluids and Nanofluidics
  • Transport Modeling for Thermal, Chemical and Biological Systems
  • Multiscale Modeling and Simulation of Protein-Protein Interactions
  • Drug Delivery and Discovery
  • Electrokinetic Flow, Seperation, and Purification
  • Energy Conversion and Storage

Research Areas

Recognition and Honors

  • Fellow, Royal Society of Chemistry (2025)
  • Fellow, American Society of Mechanical Engineers (2013)
  • Fulbright US Scholar (2016-2017)
  • Donald N. Zwiep Innovation in Education Award (2024)
  • Washington State Academy of Sciences, Member (2024)
  • WSU Office of Research – Research Excellence Award (2024)
  • The Richard Schneider Jr. Professorship in MME

Selected Publications

Complete List of Publications on Google Scholar

  • Islam, M. S. and Dutta, P., 2025, “Machine Learning Assisted Inverse Heat Transfer Problem to Find Heat Flux in Ablative Materials” Materials Today Communication, Vol. 45, 112337.
  • Chen, C., Fu, Y., Lui, Y., Dutta, P., Lin, Y., Du, D., and Qiu, K., 2025, “Next-generation Health Monitoring: The Role of Nanomaterials in 3D-printed Wearable DevicesMaterials Today, Vol. 86, pp. 317-339.
  • Odstrcil, R., Dutta, P., and Liu, J., 2024, “Enhanced Sampling for Conformational Changes and Molecular Mechanisms of Human NTHL1” ACS Journal of Chemical Physics Letter, Vol. 15, 3206-3213.
  • Odstrcil, R., Dutta, P., and Liu, J., 2023, “Prediction of Peptide-TIM3 Binding Site to Inhibit TIM3-galectin 9 Binding Pathways” ACS Journal of Chemical Theory and Computation, Vol. 19(18), 6500-6509.
  • Billah, M. M., Khan, A. I., Liu, J., and Dutta, P., 2023, “Physics-Informed Deep Neural Network for Inverse Heat Transfer Problems in Materials”,Materials Today Communications, Vol. 35, 106336.
  • Khan, A. I., Reynolds, O., Thiessen, D. B., Adesope, O. O., Van Wie, B. J., Dutta, P., 2023 “Design, fabrication, Testing, and Implementation of a Low-Cost Venturi Meter for Hands-on Active Learning” International Journal of Engineering Education, Vol. 39(4), 845-859.
  • Odstrcil, R., Dutta, P., and Liu, J., 2022, “LINES: Log-Probability Estimation via Invertible Neural Networks for Enhanced Sampling” ACS Journal of Chemical Theory and ComputationVol. 18, 6297-6309.
  • Dinh, Q. V., Liu, J., Dutta, P., 2023, “Effect of Multiple Slp4-a on Membrane Bending during Prefusion of Vesicles in Blood-brain barrier” ASME Journal of Biomechanical Engineering, Vol. 145, pp. 011006 (1-12).
  • Karawdeniya, B. I., Bandara, Y.N.D., Khan, A. I., Chen, W. T., Vu, H., Morshed, A., Suh, J., Dutta, P., and Kim, M. J., 2020, “Adeno-associated virus characterization for cargo discrimination through nanopore responsiveness”, Nanoscale, Vol. 12, 23721.
  • Ding, S., Khan, A. I., Cai, X., Song, Y., Lyu, Z., Du, D., Dutta, P., Lin, Y., 2020, “Overcoming Blood Brain Barrier Transport: Advances in Nanoparticle-based Drug Delivery Strategies”, Materials Today, Vol. 37, 112-125.