Affiliate/Allied Faculty

Dr. Mondal is an R&D Staff Scientist at Oak Ridge National Laboratory. His research interests include additive manufacturing, micro/nano fabrication of functional materials, soft and stretchable electronics, micro-fluids, liquid metal, colloids and interfaces of soft nanostructures, self and directed assembly, photovoltaics, polymer thin-films, carbon nanomaterials, energy and environmental and health sensors, nuclear sensors, soft electronic skin and flexible transistors. He earned his doctorate degree in chemical engineering from Indian Institute of Technology in Kanpur, India. He holds Masters degrees in Materials Engineering and Applied Physics from the University of Burdwan. Prior to joining Oak Ridge National Laboratory, he served as a Staff Scientist in the Materials Science and Engineering Department at Idaho National Laboratory. Before joining INL in 2019, he was a postdoctoral fellow at Florida Atlantic University in the Department of Ocean & Mechanical Engineering.

Dr. Khadka is a visualization researcher at Idaho National Laboratory. He received his Ph.D. from the University of Wyoming in 2019. His research interests include application of virtual reality, augmented reality, data visualization, human-computer interaction (HCI), immersive environments, immersive analytics, teleCollaboration, and collaborative data visualization.

Dr. Som Dhulipala is a Computational Scientist at Idaho National Laboratory (INL). His interest lies in uncertainty quantification (UQ) as applied to finite element analysis and critical infrastructure resilience. Currently, he is researching the theory and applications of multifidelity modeling, Bayesian deep learning, Markov models, and efficient sampling algorithms for computational problems critical to INL and the Department of Energy (DOE) missions. He also develops the open-source software MOOSE stochastic tools for conducting uncertainty quantification studies using multiphysics models. He is serving as the principal investigator for a multi-year Laboratory Directed Research and Development project and an Office of Nuclear Safety project. He is also a lead contributor to the UQ workscope under the DOE Nuclear Energy Advanced Modeling and Simulations (NEAMS) program and the scientific machine learning workscope under the DOE Advanced Materials and Manufacturing Technologies (AMMT) program.

Dr. Mahesh Acharya serves as a Clean Energy Postdoctoral Research Associate within the Energy and Environment Science & Technology (EES&T) Directorate at the Idaho National Laboratory (INL). He earned his Ph.D. from Idaho State University in 2023. Dr. Acharya is actively engaged in a wide range of projects critical to the missions of both INL and the Department of Energy (DOE). These projects actively support INL’s initiatives in hydropower, wind energy, solar energy, nuclear energy, geothermal energy, and power systems integration. Beyond these areas, his research areas also encompass structural and earthquake engineering, bridge engineering, concrete materials, large-scale testing, Machine Learning (ML) and Artificial Intelligence (AI).

Dr. Georgios Kapogiannis is a renowned Greek-British academic specializing in digital innovation in construction engineering and project management. He serves as the Programme Leader for the MSc in Global Business Communication and is a Senior Lecturer in Management at AFG College with the University of Aberdeen, Qatar Campus. Additionally, he holds an Honorary Senior Lecturer in Management position at the University of Aberdeen Business School in the UK. His exceptional contributions to academia have been highlighted by his recognition as one of the top 320 scholars in Intelligent Manufacturing by Emerald Publishing in 2021.