Mathematical Methods in Artificial Intelligence : Intelligent Systems (De Gruyter Proceedings in Mathematics)

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Mathematical Methods in Artificial Intelligence : Intelligent Systems (De Gruyter Proceedings in Mathematics)

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  • 製本 Hardcover:ハードカバー版
  • 商品コード 9783112234945

Description

The series is aimed specifically at publishing peer-reviewed reviews and contributions presented at conferences, workshops, and international seminars as well as edited volumes commemorating and honoring significant achievements by mathematicians. This content covers various topics within pure and applied mathematics and provides up-to-date coverage of new developments, methods, and applications.

In today's rapidly evolving world, solving real-world challenges requires more than just expertise in one field. This book brings together the power of mathematics, computing, and management to explore how these areas can work hand in hand to drive innovation and practical solutions. From data analytics and optimization to digital transformation and decision-making, it blends theory with real applications across sectors like healthcare, sustainability, finance, and education.
Additionally, discussions on emerging technologies like AI, blockchain, and quantum computing, and how they are shaping modern interdisciplinary practices will be available. By integrating these mathematical frameworks, this book provides researchers, professionals, and students with practical tools for addressing complex business challenges ranging from fraud detection to automated contract execution.


Dr. Abhishek Kumar, Senior Member of IEEE, is an Assistant Director and Professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. With over 14 years of teaching experience, he has published 180+ peer-reviewed papers and successfully supervised four Ph.D. scholars, with four more currently under his guidance, along with 30+ M.Tech projects.He holds a Ph.D. from the University of Madras and completed postdoctoral research at Universidad de Castilla-La Mancha, Spain. His research interests span artificial intelligence, renewable energy systems, image processing, and data mining. An award-winning researcher, Dr. Kumar has received several accolades, including the Sir C.V. Raman National Award (2018), and holds a patent.

Dr.J.P.Ananth received his B.E (2000) and M.E (2005) in Computer Science and Engineering from M S University and Ph.D (2012) from Sathyabama University, Chennai. He is a Senior member of IEEE, member of ACM and a member of IEEE Computer Society. Having 23 years of teaching experience, presently he is working as working as a Professor & Director - IQAC at Dayananda Sagar University, Bengaluru, India. He worked as Professor & Dean - IQAC at Sri Krishna College of Engineering and Technology (SKCET), Coimbatore. As Dean - Internal Quality Assurance Cell (IQAC), he coordinated the NAAC Cycle II and achieved A++ Grade during August 2024. He also worked as Controller of Examinations for 7 years at Sri Krishna College of Engineering and Technology, Coimbatore.

Angeles is Doctorate in Sciences from Autonomous University of Baja California, Master's degree in Computer Science from the Technological Institute of Tijuana, Bachelor's degree in Computer Science from the Technological Institute of Tapachula, Chiapas. She is currently a research professor in the Master's Degree in Information Technologies at the Tijuana Technological Institute, where she participates in research projects and teaching.

Dr. S. Oswalt Manoj is currently working as a Professor in the Department of Computer Science and Engineering, Alliance University, Bengaluru. He obtained his B.E degree in Computer Science and Engineering from Cape Institute of Technology, Tirunelveli in 2008 and his M.E Degree in Computer Science and Engineering from University Departments, Anna University of Technology, Tirunelveli in 2010. He completed his PhD in the field of Information and Communication Engineering from Anna University Chennai with the title "Analysis and Prediction of Rainfall in Agriculture based on Deep Learning Framework".


Pooja Dixit is an Assistant Professor in the Department of Computer Science at Shri Ratanlal Kanwarlal Patni Girls' College Kishangarh,Rajasthan, India and is pursuing her Ph.D. in Computer Science from Manipal University Jaipur. With over seven years of academic teaching and two years of research experience, she has published 25+ research papers in reputed journals, books, and conferences. Her research interests include Artificial Intelligence, Machine Learning, and Data Mining.


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