Overview
- Presents research works in the field of artificial intelligence and sustainable computing
- Provides original works presented at ICSISCET 2021 held in Gwalior, India
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Algorithms for Intelligent Systems (AIS)
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Table of contents (54 papers)
Editors and Affiliations
About the editors
Manoj Kumar Gaur is working as Professor and Head in Mechanical Engineering Department, Associate Proctor and In-charge of the Institute Industry Interaction Cell at Madhav Institute of Technology and Science, Gwalior, India. He has made substantial contributions to the fields of solar thermal energy, solar distillation, and heat and mass transfer applications. He possesses eighteen years teaching experience of postgraduate and undergraduate classes. He has authored three books titled “Solar Energy: Problems Solutions and Experiments”, “Optimization of machining parameters of hard porcelain on CNC machine”, and “Solar Energy Systems: Thermal Analysis and Its Application”. Eighty of his papers have been published in various International and National journals and conferences. He is an active reviewer of prestigious journal like Solar Energy, Desalination, Desalination and Water Treatment, Journal of Thermal Engineering, etc. His broad areas of interest include thermodynamics, heat transfer, solar energy and solar distillation. He is Life Member of the Indian Society for Technical Education (India) IET and Faculty Advisor of Society of Automotive Engineers INDIA MITS chapter. He attended one-week summer school ‘UKERC’ at University of Sussex, Brighton, U.K., in July 2009. He had obtained Ph.D. from Indian Institute of Technology Delhi, New Delhi, and Master of Technology in Engineering Materials from Maulana Azad National Institute of Technology Bhopal in 2002. He secured fifth position in the university in his Bachelor of Engineering in Mechanical Branch from Oriental Institute of Technology and Science, Bhopal, in 1999.
Dr Prashant Singh Rana is presently working as Associate Professor in the Computer Science and Engineering Department, Thapar Institute of Engineering & Technology, Patiala, Punjab. He received his both Ph.D. and M.Tech. from ABV-IIITM, Gwalior. His areas of research are machine learning, deep learning, bioinformatics, and optimization. He has published more than 70 research papers in different journals and conferences. He completed five projects sponsored by DST, ICMR, NVIDIA, and one project is going on. He published 10 patents.He guided seven Ph.D. students and 18 masters students.
Dr. Akhilesh Tiwari has received Ph.D. degree in Information Technology from Rajiv Gandhi Technological University, Bhopal, India. He is currently working as Professor and Head in the Department of Information Technology, Madhav Institute of Technology & Science (MITS), Gwalior, (M.P.), India. Previously, he has also worked as Head of CSE and IT department from March 2018 to December 2020, at MITS Gwalior. His areas of current research include knowledge discovery in databases and data mining, terrorist network mining, hesitation mining, and pattern warehousing. He has published more than 70 research papers in the journals and conferences of international repute, which include publications in international publishing houses such as IGI Global USA, Springer, Inderscience, Taylor & Francis (CRC Press), and Elsevier with SCI, SCIE, and SCOPUS indexing. He has published 10book chapters in edited books and also edited one book titled “Soft-Computing-Based Nonlinear Control Systems Design” for IGI Global USA. He has guided 04 Ph.D. scholars from various universities in India and more than 20 dissertations at master’s level, and at present, he is guiding 08 Ph.D. scholars. Currently, he is Chairman of Board of Studies in Information Technology, contributed as Chairman of Research Advisory Committees (RACs), working as Member Secretary in the Academic Council, Member in the IQAC Cell, Member in the Academic Development Cell at Madhav Institute of Technology and Science, Gwalior (M.P.), India, and Member in the Board of Studies of Computer Science & Engineering at Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (M.P.). He is also acting as a reviewer and member in editorial board/program committee of various international journals and conferences. He has been honored with the “Outstanding Young Person of Gwalior Award” in 2014 by the JCI Gwalior. He has been honored with the award of recognition for significant contribution in the “Implementation and preparation of structure of flexible curriculum based on AICTE model curriculum” at MITS Gwalior. He is having the memberships of various academic/scientific societies including IETE, GAMS (Gwalior Academy of Mathematical Sciences), IACSIT, and IAENG. He is also in the expert panel/selection committees of various agencies/universities/institutions of India, including National Institute of Electronics &Information Technology (NIELIT), Ministry of Electronics &Information Technology, Govt. of India.
Bibliographic Information
Book Title: Artificial Intelligence and Sustainable Computing
Book Subtitle: Proceedings of ICSISCET 2021
Editors: Manjaree Pandit, M. K. Gaur, Prashant Singh Rana, Akhilesh Tiwari
Series Title: Algorithms for Intelligent Systems
DOI: https://doi.org/10.1007/978-981-19-1653-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-1652-6Published: 17 November 2022
Softcover ISBN: 978-981-19-1655-7Published: 18 November 2023
eBook ISBN: 978-981-19-1653-3Published: 15 November 2022
Series ISSN: 2524-7565
Series E-ISSN: 2524-7573
Edition Number: 1
Number of Pages: XXI, 763
Number of Illustrations: 146 b/w illustrations, 277 illustrations in colour
Topics: Computational Intelligence, Circuits and Systems, Cyber-physical systems, IoT, Professional Computing, Machine Learning