Engineering Pedagogy

This book contains selected papers from the symposium on Engineering Pedagogy organised in honour of Professor Amitabha Ghosh and his Lecture Series on Evolution of Classical Mechanics. It covers evolution of mechanics from ancient times to modern days and good pedagogical practices among engineering and science faculty. The content includes chapters on challenges in engineering education, intellectual property rights, professional ethics, manufacturing education, additive manufacturing in engineering curricula, among others. The volume necessitates an efficient and effective pedagogical approach from engineering educators. This book will be of interest to those in teaching across all disciplines of engineering.

Dr. Uday Shanker Dixit is presently a professor in the department of mechanical engineering and Head of Center for Indian Knowledge System at Indian Institute of Technology (IIT) Guwahati.  He received B.E. from IIT Roorkee in 1987, M.Tech and Ph.D. in mechanical engineering from IIT Kanpur in 1993 and 1998 respectively. Dr. Dixit is actively engaged in research in various areas of design and manufacturing for last three decades. Most of his research work is focused on modelling of manufacturing processes and involves finite element analysis of elastoplastic problems. He has also contributed in design optimization. He has extensively used finite element and soft computing tools to design and manufacture mechatronic systems. He has authored/co-authored 140 journal papers, 139 conference papers, 42 book chapters, and 7 books in mechanical engineering. He has co-edited 9 books related to manufacturing and 11 special issues of journals. He has guided 16 doctoraland 54 masters’ students. Dr. Dixit has investigated a number of sponsored projects and developed several courses. He is a Fellow of Indian Welding Society, and National Advisory Committee member of International & All India Manufacturing, Technology and Design Conference. He was a  Board Member of Indian Institute of Technology Kanpur during 2018-21.
 

Dr. Raghu Echempati is currently a professor of mechanical engineering at Kettering University, USA. His academic and industrial consulting experiences span over 4 decades. His main areas of interest and expertise are in mechanical engineering design, structural analysis, and manufacturing simulation with real-life applications to automotive and other systems. He received several industrial internships, teaching and research, and professional society awards including the Indian Railways (RDSO), ARDB, Postdoc (University of Florida), Bosch, GM, GEMA (Chrysler), ASME Fellow, McFarland (SAE), Oswald(study abroad), Applied Researcher (KU), Fulbright (India and Thailand), and Oxford- Erskine Fellowship (New Zealand). He has supervised over 250 undergraduate/graduate and research student theses, and reviewed several technical articles, papers, textbooks, and research proposals for various domestic and international conferences, journals, scientific bodies, and publishers. He has published over 170 applied research papers in peer-reviewed journals and conference proceedings of repute.
 
Dr. Sudip Dey works as an assistant professor in the mechanical engineering department at National Institute of Technology (NIT) Silchar, India. Previously, he was a post-doctoral researcher at Leibniz-Institut für Polymerforschung Dresden e. V., Germany, worked with Prof. Gert Heinrich (TU Dresden, Germany). He obtained his Bachelor’s and doctoral degree in Mechanical Engineering Degree from Jadavpur University, India. His field of specialization is Mechanics, Design,and Materials. He has more than 20 years of experience in research, teaching, industrial and professional activities. He pioneered the research work on Uncertainty Quantification (UQ), and stochastic mode shapes. He pioneered and introduced the first course on "Uncertainty Quantification" (ME 483) in the syllabus of undergraduate and post-graduate level study globally. His research interests include Classical to Quantum Mechanics, Molecular Dynamics, Tribology, Metamaterials, Multi-scale analysis, Uncertainty Quantification, Digital Twin, Multi-functional Composites and Graded structures, and finite element analyses with an emphasis on computational mechanics and modelling.