Dr. Amlan Chakrabarti is a Full Professor and Director at the A.K.Choudhury School of Information Technology at the University of Calcutta and also associated as a Visiting Professor with IIIT Delhi. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He has 20+ years of experience in Engineering Education and Research. He is the recipient of the DST BOYSCAST fellowship award in Engineering Science (2011), the Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), the JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award (2017), the Hamied Visiting Professorship from University of Cambridge, UK (2018), Siksha Ratna Award by Dept. of Higher Education Govt. of West Bengal (2018) and has been awarded as the Fellow of West Bengal Academy of Science and Technology (2022). Since his Ph.D. research, Dr. Chakrabarti has been an active researcher in Quantum Computing Logic Synthesis, Quantum CAD and Quantum Algorithms. In his Ph.D. research, he developed strategies for quantum logic synthesis and was one of the key contributors in formulating the nearest neighbor problem.  During his Postdoctoral Research at Princeton University, he contributed to the circuit optimization techniques for PMD-specific quantum gate libraries. He developed the first-of-its-kind Fault-Tolerant Quantum Logic Synthesis tool called “FTQLS”. He and his research team have made good contributions to Quantum Algorithms such as Random Walks, Binary Welded Tree, Graph problems, Quantum Ant, Quantum Error Correction and Multi-valued Quantum logic and circuits. His research group is the first in India to receive the IBM Quantum Researchers Access Award (2021). He has published 200+ research papers in reputed journals and conferences and has graduated 22 Ph.D. students. He is a Sr. Member of IEEE and ACM and has been the Distinguished Speaker of IEEE Computer Society and ACM. He is the Series Editor of Springer Transactions of Computer Systems and Networks, Springer Book Series on Water Informatics and Associate Editor of Elsevier Journal of Computers and Electrical Engineering. His research areas are Quantum Computing, Machine Learning, Computer Vision, Reconfigurable Computing and VLSI CAD.