1. VLSI for Super-Computing: Creativity in R+D from Applications and Algorithms to Masks and Chips2. Bulk Bitwise Execution Model in Memory: Mechanisms, Implementation, and Evaluation3. Embracing the Laws of Physics: Three Reversible Models of Computation4. WSNs in Environmental Monitoring: Data Acquisition and Dissemination Aspects5. Energy efficient implementation of tensor operations using dataflow paradigm for machine learning6. A Run-Time Job Scheduling Algorithm for Cluster Architectures with DataFlow Accelerators
Dr. Suyel Namasudra is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India, and a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. He has received Ph.D. degree in Computer Science and Engineering from the National Institute of Technology Silchar, Assam, India. His research interests include blockchain technology, cloud computing, IoT, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 60 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, ACM TOMM, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. Dr. Namasudra has participated in many international conferences as an Organizer and Session Chair. He is a member of IEEE, ACM, and IEI. Dr. Namasudra has been featured in the list of the top 2% scientists in the world in 2021 and 2022, and his h-index is 25.