Preeti Joshi & Shakti S. Gupta 
Advances in Engineering Design [PDF ebook] 
Select Proceedings of FLAME 2020

Size Dependent Natural Frequency Variation Analysis of Single Layer Graphene Sheet.- Design and Fabrication of Portable Tensometer for Natural Fibers.- Increasing Powertrain Efficiency using Regenerative Clutch System.- Design of Shock-free Conical Nozzles.- Transition of Stratified-Wavy Flow to Intermittent Flow Pattern: Non-Linear Analysis of Pressure Fluctuations.- Relative Study of a Plain Circular Bearing and Two-Lobe Journal Bearing lubricated with Micropolar Fluid.- Study, Modeling and Analysis of lightweight chassis.- Design and Optimization of Intake Manifold for Naturally Aspirated SI Engine to Improve Performance using 1-D Approach.- Finite Element Analysis of Soft Body Armour Using Shear Thickening Fluid.- A Low-cost Novel Design for Knee Orthosis.

Dr. Preeti Joshi completed her Ph D from Indian Institute of Technology, Roorkee, India. She did her Master of Technology also from Indian Institute of Technology, Roorkee, India. Currently, she is working as an Assistant Professor in Amity University Noida. Her research interest involves finite element modelling, carbon nanotubes, nano composites, modelling and simulation. Dr. Joshi is having 6 years of working experience in teaching various UG and PG courses in mechanical engineering. She has published various research articles in refereed international journals and conferences.
Dr. Shakti S. Gupta is Associate Professor at the Indian Institute of Technology, Kanpur, India. He did his Masters from Indian Institute of Science, Bangalore, and his Ph D from Virginia Tech, USA. His research interest includes linear and non-linear structural mechanics, mechanics of nanomaterials and their characterization, and engineering mechanics. He is a recipient of several awardssuch as DRDO’s Silicon Medal for National Science Day oration, and the Daniel Fredrick Scholarship for excellent performance in the graduate program in the Department of Engineering Science and Mechanics, Virginia Tech.
Dr. Anoop Kumar Shukla is presently working as Assistant Professor in the Department of Mechanical Engineering Amity University Noida. He did B.Tech from Institute of Engineering & Rural Technology, Allahabad, and M.Tech from Harcourt Butler Technological Institute, Kanpur. He received Ph.D. degree in 2017 from Dr. APJ Abdul Kalam Technical University, Lucknow. He has more than 8 years of teaching and research experience. His area of research is energy conversion and thermal management, combined power cycles, biofuels, gas turbine cooling, and advanced thermodynamics. He has published more than twenty research papers in peer-reviewed international journals and conferences. He has published two book chapters in Methanol and the Alternate Fuel Economy and Industrial Applications of Green Solvents: Volume II.
Dr. Sachin Singh Gautam is currently an Assistant professor in the Department of Mechanical Engineering, 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 R&D, Gurgaon and Cummins R&D Pune. He has guided two Ph D students, and further supervising eight students. He has guided 19 M.Tech. students.  His research group has received three best paper awards, and a best poster award. Two of his masters students have been awarded DAAD fellowship for carrying out their master’s thesis project work in German universities. He is also the recipient of best teacher award. 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, and application of machine learning in computational mechanics.