Advances in Engineering Design / Lecture Notes in Mechanical Engineering (PDF)

consultancy and sponsored projects pertaining to Environmental Impact Assessment studies in respect of noise and vibration for government bodies like Central Pollution Control Board (CPCB), Archaeological Survey of India (ASI), Delhi Metro Rail Corporation (DMRC), Bangalore Metro Rail Corporation Limited (BMRCL), India etc. He has published many papers in national and international journals in the field of acoustics and vibrations and has been actively involved in the Key Comparison exercises in Acoustics and Vibration metrology with other National Metrology Institutes (NMIs) of the world. He has been Managing Editor of MAPANJournal of Metrology Society of India published by Springer and reviewer of many international journals and has enormously contributed towards evaluation, analysis and control of noise pollution. He was awarded APMP Iizuka Young Metrologist Prize for Developing Economies by Asia Pacific Metrology Programme (APMP) Secretariat, Japan in November, 2017 for his notable contributions to acoustics and vibration metrology. Dr. Sachin S. Gautam is currently an Assistant professor in the Department of Mechanical Engineering, Indian Institute of Technology (IIT) Guwahati. He carried out his post-doctoral research at AICES, RWTH Aachen University, Germany. He finished his Ph.D. and M.Tech. in the area of high velocity impact problems from IIT Kanpur. Dr. Gautam has undertaken projects from SERB, DST and VSSC, ISRO. He has recently received funding to enhance the functionalities of ISRO's structural analysis software tool FEASTSMT. Also, his students have been working on research projects in joint collaboration with Siemens and Cummins. He has guided two Ph.D. students and further supervised eight students. He has guided 19 M.Tech. students. He has published around 15 book chapters, 22 journal papers, and 50 national/international; conference publications. His current area of research is in computational contact mechanics, isogeometric analysis, GPU computing, application of machine learning in computational mechanics.