Overview
- Presents research papers on data-driven computing and intelligent systems
- Results of ADCIS 2023 held at BITS Pilani, K K Birla Goa Campus, Goa, India
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 890)
Included in the following conference series:
Conference proceedings info: ADCIS 2023.
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About this book
The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 21 – 23 September 2023. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Keywords
Table of contents (40 papers)
Other volumes
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Advances in Data-Driven Computing and Intelligent Systems
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Advances in Data-Driven Computing and Intelligent Systems
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Advances in Data-Driven Computing and Intelligent Systems
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Advances in Data-Driven Computing and Intelligent Systems
Editors and Affiliations
About the editors
Prof.Carlos A. Coello Coello (Fellow, IEEE) received the Ph.D. degree in computer science from Tulane University, New Orleans, LA, USA, in 1996. He is currently a Professor with Distinction (CINVESTAV-3F Researcher), Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico. He has authored and coauthored over 500 technical papers and book chapters. He has also co-authored the book Evolutionary Algorithms for Solving Multiobjective Problems (2nd ed., Springer, 2007) and has edited 3 more books with publishers such as World Scientific and Springer. His publications currently report over 60000 citations in Google Scholar (his H-index is 96). His major research interests are evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms. He has received several awards,including the National Research Award (in 2007) from the Mexican Academy of Science (in the area of exact sciences), the 2009 Medal to the Scientific Merit from Mexico City's congress, the Ciudad Capital: Heberto Castillo 2011 Award for scientists under the age of 45, in Basic Science, the 2012 Scopus Award (Mexico's edition) for being the most highly cited scientist in engineering in the 5 years previous to the award and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico's presidency (this is the most important award that a scientist can receive in Mexico). He also received the Luis Elizondo Award from the Tecnológico de Monterrey in 2019. Additionally, he is the recipient of the 2013 IEEE Kiyo Tomiyasu Award, "for pioneering contributions to single- and multiobjective optimization techniques using bioinspired metaheuristics", of the 2016 The World Academy of Sciences (TWAS) Award in “Engineering Sciences”, and of the 2021 IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award. Since January 2011, he is an IEEE Fellow. He is currently the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation.
Dr.Hemant Rathore has completed his Bachelor of Engineering (B.E.) in computer science from RGTU, followed by Master of Engineering (M.E) in software systems and Doctor of Philosophy (Ph.D.) from BITS Pilani. He is currently working as an Assistant Professor in the Department of CS & IS, BITS Pilani, K K Birla Goa Campus, India. He has strong academic and industry research experience in the field of data science. His current research interests are in the area of machine learning and deep learning, specifically adversarial robustness, explainability, and interpretability. He has published many research papers in various top journals. He has taught and likes to teach courses like Machine Learning, Advanced Data Mining, Data Mining, and Network Security to undergraduate and postgraduate students. He has also guided numerous students for short-term various projects.Dr. Jagdish Chand Bansal is an Associate Professor (Senior Grade) at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. He also holds visiting professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure basedoptimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems in the engineering domain. He has published over 70 research papers in various international journals/conferences. He is the Section Editor (editor-in-chief) of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS), Studies in Autonomic, Data-driven and Industrial Computing (SADIC), and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.
Bibliographic Information
Book Title: Advances in Data-Driven Computing and Intelligent Systems
Book Subtitle: Selected Papers from ADCIS 2023, Volume 4
Editors: Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Hemant Rathore, Jagdish Chand Bansal
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-99-9531-8
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Softcover ISBN: 978-981-99-9530-1Published: 11 April 2024
eBook ISBN: 978-981-99-9531-8Due: 10 April 2024
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XIX, 516
Number of Illustrations: 56 b/w illustrations, 184 illustrations in colour
Topics: Communications Engineering, Networks, Circuits and Systems, Professional Computing, Artificial Intelligence, Signal, Image and Speech Processing