Advances in Artificial-Business Analytics and Quantum Machine Learning: Select Proceedings of the 3rd International Conference, Com-It-Con 2023, Volum (Lecture Notes in Electrical Engineering #1191)

About the Author

KC Santosh, a highly accomplished AI expert, is the chair of the Department of Computer Science at the University of South Dakota. He served the National Institutes of Health (NIH) as a research fellow. Before that, he worked as a postdoctoral research scientist at the LORIA research center, University de Lorraine in direct collaboration with industrial partner, ITESOFT, France. He earned his Ph.D. in Computer Science--Artificial Intelligence from the INRIA Nancy Grand Est research center (France). He has demonstrated expertise in artificial intelligence, machine learning, pattern recognition, and computer vision with various application domains such as healthcare informatics and medical imaging, document imaging, biometrics, forensics, speech/audio analysis, and the Internet of Things. He is highly motivated in academic leadership, and his contributions have established USD as a pioneer in AI programs within the state of SD. Sandeep Kumar Sood received a Ph.D. degree in computer science and engineering from IIT Roorkee, Roorkee, India, in 2010. He is currently working as a head and an associate professor in the Department of Computer Applications, NIT Kurukshetra, Haryana, India. He has authored or co-authored more than 115 SCI/SCIE-indexed research publications. According to Google Scholar, the citation number is with an h-index equal to 34 and an i10-index equal to 96. His research interests include network and information security, fog computing, cloud computing, IoT, and big data analytics. Hari is in data science and artificial intelligence at the School of Technology Bournemouth University, UK. He specializes in Computer Science and Engineering. His research areas include artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning, and computer vision. He is the author of various books in computer science engineering (algorithms, programming, and evolutionary algorithms). He has published over 150 scientific papers in reputed journals and conferences. He is serving on the editorial board of reputed journals as action editor, associate editor, and guest editor. He is a reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, and AAAI. He has delivered expert talks as a keynote and invited speaker. He is a fellow of the HEA of the UK Professional Standards Framework (UKPSF) Charu Pujara has worked as Head of the Department of Computer Science and Engineering, School of Engineering at Manav Rachna International Institute of Research and Studies, Faridabad, Haryana. She has a B.E. in Information Technology with an M.Tech. in Computer Science and Engineering. She holds a Doctoral degree in Computer Engineering having expertise in the domain of cyber security and artificial intelligence. Her visual acuity has played an important role in promoting technology, automation, and skill management.