PREDICT Laboratory (Probabilistic Research in Engineering Design, Intelligence, and Composites Technology) at Clarkson University, led by Dr. Mishal Thapa, advances the science of uncertainty-aware design and intelligent engineering of advanced aerospace and energy structures.
Our research integrates probabilistic modeling, physics-based simulation, machine learning, and experimental validation to design high-performance structural systems for aerospace and energy applications. The PREDICT Lab develops computational and experimental methods for advanced composites, lattice-based meta-materials, and multi-scale modeling to enable next-generation resilient engineering technologies.
We focus on enabling next-generation aerospace and energy systems through the integration of:
Uncertainty Quantification (UQ)
Stochastic Optimization
Machine and Deep Learning
Multiscale Computational Modeling
Advanced/Additive Manufacturing and Experimental Validation
Current Applications: Variable angle tow composites; Functionally graded lattice structures/meta-materials; Wind-turbine blades.
Dr. Mishal Thapa is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Clarkson University, since August 2025. His research interests include uncertainty quantification, stochastic optimization, and machine/deep learning for the probabilistic design of aerospace structures and wind turbine blades, with the goal of improving performance and reliability.
Prior to joining Clarkson, Dr. Thapa was a Senior Research Professional at the Remote Sensing Center, University of Alabama, where he led aero-structural projects for airborne radar systems. He earned his M.S. and Ph.D. degrees in Aerospace Engineering and Mechanics from the University of Alabama in 2017 and 2019, respectively, as a Graduate Council Fellow, and subsequently worked as a Postdoctoral Researcher at the University of Arizona in 2020.
Dr. Thapa serves as a member of the American Institute of Aeronautics and Astronautics (AIAA) Non-Deterministic Approaches Technical Committee, has co-authored numerous peer-reviewed publications, and acts as a reviewer for numerous conferences/journals.
Research Skills/Interests:
Composite Structures, Meta-materials/Lattice structures, Uncertainty quantification, Stochastic Optimization, Machine/Deep Learning (LSTMs).
Education/Work Experience:
Senior Research Personnel, The University of Alabama, 01/2021- 06/2025
Post-doctoral Research Associate, University of Arizona, 2020
Ph. D., Aerospace Engineering and Mechanics, The University of Alabama, 2019
M.S., Aerospace Engineering and Mechanics, The University of Alabama, 2017
361 CAMP, Clarkson University
8 Clarkson Avenue, Box 5725
Potsdam, NY 13699, USA
Phone: +1(315)-268-7687
Email: mthapa@clarkson.edu
Shawn Murphy is a graduate student pursuing a Master's in Mechanical Engineering. His work centers on the probabilistic design of composite structures, specifically addressing the stochastic nature of Variable Angle Tow (VAT) manufacturing. By integrating reliability analysis with high-fidelity modeling, he aims to develop robust design strategies using computational tools like MATLAB and ANSYS.
Research Interests: Uncertainty Quantification; Optimization; Variable Angle Tow Composites; Advanced Manufacturing; Finite element analysis
Email: shmmurph@clarkson.edu
Kevin Bou-Abdallah is a junior majoring in Aerospace Engineering and minoring in Data Science. He's a member of Clarkson's Honors Program. He has previous internship experience at GE Aerospace. His research interests include the modeling, library development, and analysis of lattice structure unit cells for lightweight engineering applications. Software such as ANSYS APDL and MATLAB assist with these models.
Research Interests: Lattice structures; Finite element analysis; CAD modeling; Additive manufacturing
Email: bouabdk@clarkson.edu