Sandeep Kumar & Saroj Hiranwal 
Proceedings of International Conference on Communication and Computational Technologies [PDF ebook] 
ICCCT 2023

Virus Symptoms Prediction: Role of Machine Learning in Supporting Healthcare Informatics.- A brief Overview of E-government Security.- EPSMS-ORR: Ensure Privacy and Security of Message Dissemination Scheme using Symmetric Key and Overhead Reduced Routing in VANET.- Structural Causal Model Design and Causal Impact Analysis: A Case of SENSE-EGRA Dataset.- A Comparative Analytical Study Of Breast Cancer Prediction Techniques Using Deep Learning Approaches For Research Novices.- Exponential Aquila Optimizer (EAO)-based Deep Fuzzy Clustering for document retrieval.- A Survey on Alzheimer’s Disease Prediction Using Deep Learning Algorithms.- An Approach of Federated Learning in Artificial Intelligence for Healthcare Analysis.- An Epistemology on Role of AI Powered E-commerce Chatbot to Support CX.- Fair Price Shop – Virtual Queue Time Slot Prediction using Deep Q Learning.

Sandeep Kumar is currently Professor at CHRIST (Deemed to be University), Bangalore. Before joining CHRIST, he worked with ACEIT Jaipur, Jagannath University Jaipur, and Amity University Rajasthan. He is an associate editor for Human-centric Computing and Information Sciences (HCIS) journal published by Springer. He has published more than seventy research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited six books in the area of computer science. His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.

Saroj Hiranwal is currently Principal at Rajasthan Institute of Engineering and Technology, Jaipur. Dr. Saroj is a Doctor of Philosophy (CSE) in Computer Science and Engineering; her research interests include high-performance scientific computing, real-time systems, and cloud computing.She has a Bachelor of Engineering and Master and Technology degrees in Information Technology and has 16 years of professional experience teaching technical courses. Her expertise includes operating systems, real-time systems, and object-oriented programming. She has participated and contributed in no. of national and international seminars, workshops, and conferences. Her research work has been published in various national and international journals. She has written books on information protection and security system and operating systems.

 
Sunil Dutt Purohit is Associate Professor of Mathematics at Rajasthan Technical University, Kota, India. He did his Master of Science (M.Sc.) in Mathematics and Ph.D. in Mathematics from Jai Narayan Vyas University, Jodhpur, India. He was awarded a University Gold Medal for being a topper in M.Sc. Mathematics and awarded Junior Research Fellowship and Senior Research Fellow of Council of Scientific and Industrial Research. Heprimarily teaches subjects like integral transforms, complex analysis, numerical analysis, and optimization techniques in graduate and postgraduate level courses in engineering mathematics. His research interest includes special functions, basic hypergeometric series, fractional calculus, geometric function theory, mathematical analysis, and modeling. He has credited more than 160 research articles and four books so far. He has delivered talks at foreign and national institutions. He has also organized many academic events. He is Life Member of the Indian Mathematical Society (IMS), Indian Science Congress Association (ISCA), Indian Academy of Mathematics (IAM), and Society for Special Functions and their Applications and Member of American Mathematical Society (AMS) and International Association of Engineers (IAENG). Presently, he is General-Secretary of the Rajasthan Ganita Parishad.
 

Mukesh Prasad is Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to machine learning, artificial intelligence, and the Internet of things. Mukesh’s research interests also include big data, computer vision, brain–computer interface, and evolutionary computation. He is also working in the evolving and increasingly important field of image processing, data analytics, and edge computing, which promise to pave the way for the evolution of new applications and services in the area of health care, biomedical, agriculture, smart cities, education, marketing, and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM transactions and conferences; he has written more than 100 research papers. Mukesh started his academic career as Lecturer with UTS in 2017 and became Core Member of the University’s world-leading Australian Artificial Intelligence Institute (AAII), which has the vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was Principal Engineer (2016–17) at the Taiwan Semiconductor Manufacturing Company (TSMC). There, he developed new algorithms for image processing and pattern recognition using machine learning techniques. He was also Postdoctoral Researcher leading a big data and computer vision team at National Chiao Tung University, Taiwan (2015). Mukesh received an M.S. degree from the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India (2009), and a Ph.D. from the Department of Computer Science, National Chiao Tung University, Taiwan (2015).