Neural Networks, Machine Learning, and Image Processing (PDF)

Dr. Ritu Sahni is a dedicated and experienced Mathematics teacher and researcher with more than 15 years experience who is actively involved with both undergraduate and postgraduate levels teaching students. She has a strong academic background by completing B.Sc. (Mathematics), M. Sc. (Mathematics with specialization in Computer Applications) from Dayalbagh Educational Institute, Agra, U. P., India, and Ph.D. from Jaypee Institute of Information Technology (JIIT), Noida, India. During her Ph.D., she also served her Institution (JIIT, Noida, India) by teaching undergraduate and postgraduate students and after the completion of her Doctorate degree she served various Institutions including Navrachna University, Vadodara, Gujarat, India, Institute of Advanced Research (IAR), Gandhinagar, India as an Assistant Professor, and presently she is working as a Visiting Faculty at Pandit Deendayal Energy University, Gandhinagar Gujarat, India. She worked with her students on various research-related problems and published their work in reputed Journals (SCI/ SCIE/ ESCI/ Scopus) such as Elsevier, Springer, etc. She has published more than 45 research papers in peer-reviewed International Journals and Conferences. She is the reviewer of many International Journals and is a member of the Indian Science Congress and many other well-renowned societies. She has also organized Seminar, Workshop, and also coordinated the 2nd and 3rd International Conferences on Mathematical Modelling, Computational Intelligence Techniques and Renewable Energy (MMCITRE) held from February 06 - 08, 2021 and March 04 - 06, 2022. She has delivered talks and presented many research articles in various International Conferences in India and Abroad. Her research field includes Fixed Point Theory and its Applications, Numerical Methods, Fuzzy Decision-Making Systems, and other allied areas. She is a devoted faculty member, committed researcher, and enthusiastic about striving to improve the institution's educational offerings and research fields for societal growth.

Prof. José M. Merigó Lindahl is a Professor at the School of Information, Systems & Modelling at the Faculty of Engineering and Information Technology at the University of Technology Sydney (Australia) and Part-Time Full Professor at the Department of Management Control and Information Systems at the School of Economics and Business at the University of Chile. Previously, he was a Senior Research Fellow at the Manchester Business School, University of Manchester (UK) and an Assistant Professor at the Department of Business Administration, University of Barcelona (Spain). He holds a Master and a Ph.D. degree in Business Administration from the University of Barcelona. He also holds a B.Sc. and M.Sc. degree from Lund University (Sweden). He has published more than 500 articles in journals, books and conference proceedings, including journals such as Information Sciences, IEEE Computational Intelligence Magazine, IEEE Transactions on Fuzzy Systems, European Journal of Operational Research, Expert Systems with Applications, International Journal of Intelligent Systems, Applied Soft Computing, Computers & Industrial Engineering and Knowledge-Based Systems. He has also published several books with Springer and with World Scientific. He is on the editorial board of several journals including Computers & Industrial Engineering, Applied Soft Computing, Technological and Economic Development of Economy, Journal of Intelligent & Fuzzy Systems, International Journal of Fuzzy Systems, Kybernetes and Economic Computation and Economic Cybernetics Studies and Research. He has also been a guest editor for several international journals, member of the scientific committee of several conferences and reviewer in a wide range of international journals. Recently, Thomson & Reuters (Clarivate Analytics) has distinguished him as a Highly Cited Researcher in Computer Science (2015-present). He is currently interested in Decision Making, Aggregation Operators, Computational Intelligence, Bibliometrics and Applications in Business and Economics.