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Ram V. Mohan

Ram V. Mohan

Professor of Nanoengineering
North Carolina A&T State University


Dr. Ram Mohan is currently a Professor of nanoengineering. He is also the co-lead of the computational science and engineering research cluster at North Carolina A&T State University. Dr. Mohan currently has nearly 100 peer reviewed journal articles, book chapters and conference proceedings to his credit. He plays an active role in American Society for Mechanical Engineers (ASME) and serves as the chair of the ASME materials processing technical committee. He also serves as the member of the Nanoengineering Council Steering Committee with a focus on nanoengineering in energy and medicine. He is a member of American Society of Aeronautics (AIAA), American Society for Engineering Education (ASEE), Society for Advancement of Materials and Process Engineering (SAMPE), and regularly presents, organizes and conducts seminars and conferences for these professional and engineering organizations. Dr. Mohan has been serving as a regular reviewer for several scientific journals and conferences in his field of research. Over the past several years, he has worked with and his research work has been supported by several federal agencies and industries. He has been an invited and keynote speaker at several international conferences, universities, research laboratories, and industries in US, Europe, India and several other countries. His industrial interactions include Lockheed Martin-Manassas, Boeing-Mesa, Northrop Grumman, Boeing-St. Louis, and Lockheed Martin-Skunk Works.

Research Interest

Dr. Mohan’s current research activities, contributions and interests include the areas of computational multi-physics/multi-scale modeling and simulation in engineering and physical applications; computational mechanics, nanomechanics, and material sciences; processing, mechanics, characterization, and computational modeling of multi-scale composite and nanoengineered material systems (crystalline, amorphous, bio and cementitious material systems and their multi-scale effects); computational modeling of bio and nano systems, interfaces, and interactions; transport phenomena; flow and thermal behavior during composite material processing and fibrous porous media; physics based composite modeling simulations, process optimizations, and experimental investigations for resin transfer molding (RTM), vacuum assisted resin transfer molding (VARTM) and liquid composite molding (LCM) processes; high performance, scalable scientific computing and engineering product visualization; engineering education.