Title:  Quantum Gate Neural Networks 

Dr. Siddhartha Bhattacharyya earned his Bachelor in Physics, Bachelor in Optics and Optoelectronics, and Master in Optics and Optoelectronics from the University of Calcutta, India, in 1995, 1998, and 2000, respectively. He completed his PhD in Computer Science and Engineering from Jadavpur University, India, in 2008. He is the recipient of the University Gold Medal from the University of Calcutta for his Masters. He is the recipient of several coveted awards, including the Distinguished HoD Award and Distinguished Professor Award conferred by the Computer Society of India, Mumbai Chapter, India, in 2017, the Honorary Doctorate Award (D. Litt.) from The University of South America, and the South East Asian Regional Computing Confederation (SEARCC) International Digital Award ICT Educator of the Year in 2017. He has been appointed as the ACM Distinguished Speaker for 2018-2020. He was inducted into the People of ACM Hall of Fame by ACM, the USA, in 2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for 2021-2024. He has been elected as a full foreign member of the Russian Academy of Natural Sciences (RANS) and the  Russian Academy of Engineering (REA). He has been elected a full fellow of The Royal Society for Arts, Manufacturers and Commerce (RSA), London, UK.

Dr. San Murugesan is the Director of BRITE Professional Services in Sydney, Australia. and Editor in Chief of IEEE Intelligent Systems. He is also an adjunct professor at the School of Computing at Western Sydney University and an honorary professor at Amity University. Murugesan has an extensive background in academia and industry, having previously worked as a Senior Research Fellow at NASA Ames Research Center and held senior positions at Southern Cross University and the Indian Space Research Organization (ISRO). Murugesan’s expertise covers a broad spectrum of areas in information technology, including smart systems, sustainability, artificial intelligence, autonomous systems, green computing, cloud computing, and the Internet of Things (IoT). He has authored and co-edited several books, including “Encyclopedia of Cloud Computing” and “Harnessing Green IT: Principles and Practices.” Murugesan is a distinguished speaker of the ACM and IEEE and has been recognized with numerous awards, such as the IEEE Computer Society’s Distinguished Service Certificate, for his significant contributions to the field. He is a Life Senior Member of IEEE and Golden Core Member of the IEEE Computer Society. In addition to his academic and research contributions, Murugesan has been actively involved in organizing conferences, delivering keynotes, and providing consultancy services. He holds a PhD from the Indian Institute of Science, an MTech from the Indian Institute of Technology Madras, and a BE (Honours) from PSG College of Technology.

Mr. Amit Dubey is a seasoned technology leader with over two decades of experience in the software, data science industry. As the Chief Technology Officer at Dataflux.ai and Data science manager at Agilent technologies, he has demonstrated expertise in digital transformation, cloud computing, and emerging data science technologies. Amit’s career spans roles at prestigious organizations like Agilent Technologies, Boeing, Fiserv, Accenture, Egon Zehnder, Airbus GMBH, where he honed his skills in data Science, solution architecture and technology consulting. Beyond his technical prowess, Amit is passionate about mentoring and developing talent, actively participating in various technology communities. He is a frequent speaker at industry events and has contributed to publications on digital innovation. In his spare time, Amit enjoys outdoor activities and is an avid photographer. His unique blend of technical depth, leadership experience, and diverse interests makes him well-suited to engage with the IEEE workshop audience, offering insights that bridge the gap between cutting-edge technology and practical business applications.

Mr. Dwith Chenna is working as Member of Technical Staff, Product Development, AI Inference at AMD. He is a highly experienced research and development professional with a focus on algorithm development and optimization in computer vision, deep learning, and Edge AI. Over the past decade, he has honed his expertise in creating state-of-the-art, performance-critical perception systems, particularly on resource-constrained hardware like Digital Signal Processors (DSPs). His work is centered on optimizing deep learning models to enhance efficiency and accuracy, while also addressing key performance metrics such as latency, memory usage, bandwidth, and power consumption. Dwith’s career includes significant roles at prestigious organizations such as Magic Leap, the FDA’s Center of Devices and Radiology Health, and AMD. His contributions, including advancements in augmented reality and non-contact fever screening, have been instrumental in solving complex real-world challenges. Beyond his technical prowess, Dwith is a recognized leader in the technology community, serving as a technical committee member, reviewer for leading conferences, judge for AI excellence awards, and a speaker at major technology summits.