Proceedings of the 12th International Conference on Soft Computing for Problem Solving

This book provides an insight into 12th International Conference on Soft Computing for Problem Solving (SocProS 2023), organized by The Department of Applied Mathematics and Scientific Computing, Saharanpur Campus of Indian Institute of Technology, Roorkee, India, in conjunction with Continuing Education Center during 1113 August 2023. This book presents the latest achievements and innovations in the interdisciplinary areas of soft computing, machine learning, and data science. It covers original research papers in the areas of algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and health care, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

Presents research works in the field of soft computing Provides original works presented at SocProS 2023 held in IIT Roorkee, India Serves as a reference for researchers and practitioners in academia and industry

Auteur

Prof. Millie Pant (MP) is a professor in the Department of Applied Mathematics and Scientific Computing (DAMSC), Saharanpur Campus of Indian Institute of Technology Roorkee, joint faculty at the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Technology Roorkee and adjunct faculty at AIT Thailand, Bangkok. Her expertise is in optimization algorithms, soft computing techniques, image processing, and decision-making processes. She has published more than 200 research articles in various journals and conferences of national and international repute. She has more than 8000 Google Scholar citations, and her H-index is 44. She has supervised 14 Ph.D. students and currently 10 students are doing Ph.D. under her supervision. She has completed 4 bilateral sponsored projects with Germany and Russia, UK and Czech Republic and two national projects sponsored by DST and DRDO. She has conducted several short-term courses sponsored by Deloitte, TSW, DST, and QIP in the areas of optimization, evolutionary algorithms, and artificial intelligence. She is one of the founder chairs for SocProS conferences and has been the chair of several other conferences as well.

Dr. Kusum Deep, is a full Professor (HAG), with the Department of Mathematics as well as Joint Faculty at the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Technology Roorkee, India. Also, she is a Visiting Professor, Liverpool Hope University, UK, University of Technology Sydney, Australia and University of Wollongong, Australia. With B.Sc Hons & M.Sc Hons. School from Centre for Advanced Studies, Panjab University, Chandigarh, she is an M.Phil Gold Medalist. She earned her PhD from UOR (now Indian Institute of Technology Roorkee) in 1988. She has been a national scholarship holder and a Post-Doctoral from Loughborough University, UK assisted by International Bursary funded by Commission of European Communities, Brussels. She has won numerous awards like Khosla Research Award, UGC Career Award, Starred Performer of IITR Faculty, best paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of late Prof. M. C. Puri, AIAP Excellence Award. She is one of the four women from IIT Roorkee to feature in the ebook "Women in STEM-2021" celebrating the contributions made by 50 Indian women in STEM published by Confederation of Indian Industries. According to Stanford University, she falls within top 2 % of the scientists in the world for 2019 and 2020. In 2021 she bagged the prestigious POWER grant awarded by SERB-DST, Govt. of India. In 2022 she is leading a collaborative consultancy project with Deloitte. On September 5, 2022, she was awarded Uttarakhand State Level "Excellence in Research of the Year 2022 Award, jointly organized in collaboration with DIVYA HIMGIRI (Premier Weekly News Magazine of Uttarakhand), VMSB Uttarakhand Technical University, Uttarakhand State Council for Science & Technology (UCOST) and Society for Research & Development in Science, Technology and Agriculture (SRADSTA). According to the 9th edition of Research.com ranking of the best researchers in the arena of Computer Science she holds a national rank 100 and world rank 10112. He google scholar citations are 6501, h-index is 39 and i10-index is 105. She has authored two books, supervised 20 PhDs, and published 125 research papers. She is a Senior Member of ORSI, CSI, IMS and ISIM. She is one of the the Editors of Engineering Applications of Artificial Intelligence, Elsevier and many reputed journals. She is the Founder President of Soft Computing Research Society, India. She is the General Chair of series of International Conference on Soft Computing for Problems Solving (SocProS). She has a vast teaching experience in Mathematics, Operations Research, Numerical and Analytical Optimization, Artificial Intelligence, Data Science, Parallel Computing, Computer Programming, Numerical Methods, etc. Her research interests are nature inspired optimization techniques, particularly Evolutionary Algorithms, and Swarm Intelligence Techniques and their applications to solve real life problems as well as artificial intelligence and data science.

Prof. Atulya K. Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is the Pro Vice-Chancellor (Research) at Liverpool Hope University, United Kingdom. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (DPhil) in Applied Nonlinear Mathematics, which he earned from the University of York (UK) in 1996. He holds BSc (Hons), MSc, and MPhil (with distinction) in Mathematical Physics from the MDS University of Ajmer, India. Prof Nagar is a fellow of the Institute of Mathematics and Its applications (FIMA) and a fellow of the Higher Education Academy (FHEA). His research expertise is in the area of Applied Non-linear Analysis, Natural Computing and Systems Engineering.