Proceedings of International Conference on Communication and Computational Technologies / Algorithms for Intelligent Systems (PDF)

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).