Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from Adcis 2023, Volume 4

Dr.Swagatam Das received the B. E.Tel. E., M. E. Tel. E (Control Engineering specialization) and Ph. D. degrees, all from Jadavpur University, India, in 2003, 2005, and 2009 respectively.Swagatam Das is currently serving as an associate professor and Head of theElectronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing and machine learning. Dr. Das has published more than 300 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as the associate editors of the IEEE Transactions on Cybernetics, Pattern Recognition(Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEETrans. on Systems, Man, and Cybernetics: Systems, and so on. He is an editorial board member of Information Fusion (Elsevier), Progress in Artificial Intelligence(Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and Artificial Intelligence Review(Springer). Dr. Das has 25,000+ Google Scholar citations and an H-index of 76till date. He has been associated with the international program committees and organizing committees of several reputed international conferences including NeurIPS, AAAI, AISTATS, ACM Multimedia, BMVC, IEEE CEC, GECCO, etc. He has acted as guest editors for special issues in journals like IEEE Transactions on Evolutionary Computation and IEEE Transactions on SMC, Part C. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE). He is also the recipient of the 2015 Thomson Reuters Research Excellence India Citation Award as the highest cited researcher from India in Engineering and Computer Science category between 2010 to 2014.

Dr.Snehanshu Saha holds Master's Degree in Mathematical and Computational Sciences at Clemson University, USA and Ph.D. from the Department of Applied Mathematics at the University of Texas at Arlington in 2008. He was the recipient of the presitigious Dean's Fellowship during PhD and Summa Cum Laude for being in the top of the class. After working briefly at his Alma matter, Snehanshu moved to the University of Texas El Paso as a regular full-time faculty in the Department of Mathematical Sciences, University of Texas El Paso. Currently, He is a professor of Computer Science and Engineering at PES University since 2011 and heads the Center for AstroInformatis, Modeling and Simulation. He is also a visiting Professor at the department of Statistics, University of Georgia, USA and BTS Pilani, India. He has published 90 peer-reviewed articles in top-tier international journals and conferences and authored three text books on Differential Equations, Machine Learning and System Sciences respectively. Dr. Saha is an IEEE Seniormember, ACM Senior Member, Vice Chair-International Astrostatistics Association and Chair, IEEE Computer Society Bangalore Chapter and Fellow of IETE. He's Editor of the Journal of Scientometric Research. Dr Saha is the recipient of PEACE Award for his foundational contributions in Machine Learning and AstroInformatics. Dr. Saha's current and future research interests lie in Data Science, Astronomy and theory of Machine Learning. ResearchGate:

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.

Dr. Swagatam Das於2003年、2005年和2009年分別在印度Jadavpur大學獲得B.E.Tel.E.、M.E.Tel.E.（控制工程專業）和博士學位。他目前擔任印度統計學研究所的副教授兼電子與通信科學單位主任，位於印度加爾各答。他的研究興趣包括演化計算和機器學習。Das博士在同行評審的期刊和國際會議上發表了300多篇研究論文。他是Elsevier出版的國際期刊《Swarm and Evolutionary Computation》的創始聯合主編。他還擔任或曾擔任IEEE Transactions on Cybernetics、Pattern Recognition（Elsevier）、Neurocomputing（Elsevier）、Information Sciences（Elsevier）、IEEE Trans. on Systems, Man, and Cybernetics: Systems等期刊的副編輯。他是Information Fusion（Elsevier）、Progress in Artificial Intelligence（Springer）、Applied Soft Computing（Elsevier）、Engineering Applications of Artificial Intelligence（Elsevier）和Artificial Intelligence Review（Springer）的編輯委員會成員。Das博士在Google Scholar上有超過25,000次引用和76的H指數。他曾參與過多個知名國際會議的國際計劃委員會和組織委員會，包括NeurIPS、AAAI、AISTATS、ACM Multimedia、BMVC、IEEE CEC、GECCO等。他曾擔任IEEE Transactions on Evolutionary Computation和IEEE Transactions on SMC, Part C等期刊的特刊客座編輯。他是印度國家工程學院（INAE）2012年青年工程師獎的獲獎者。他還是2015年湯森路透印度引文獎的獲獎者，該獎項表彰了2010年至2014年間在工程和計算機科學領域中引用最多的印度研究人員。

Dr. Snehanshu Saha在美國克萊姆森大學獲得數學和計算科學碩士學位，並於2008年在德克薩斯大學阿靈頓分校應用數學系獲得博士學位。他在博士期間獲得了聲譽卓著的院長獎學金，並以優異成績畢業。在短暫在母校工作後，Snehanshu轉到德克薩斯大學埃爾帕索分校擔任全職教職員。自2011年以來，他一直是PES大學計算機科學和工程學教授，並擔任AstroInformatis、建模和模擬中心的負責人。他還是美國喬治亞大學統計學系和印度比爾拉尼的客座教授。他在頂級國際期刊和會議上發表了90篇同行評審的文章，並分別撰寫了三本關於微分方程、機器學習和系統科學的教科書。Saha博士是IEEE高級會員、ACM高級會員、國際天體統計學協會副主席，IEEE計算機學會班加羅爾分會主席和IETE院士。他是《科學計量學研究》期刊的編輯。Saha博士因在機器學習和AstroInformatics方面的基礎貢獻而獲得PEACE獎。Saha博士目前和未來的研究興趣集中在數據科學、天文學和機器學習理論上。

Carlos A. Coello Coello教授（IEEE院士）於1996年在美國新奧爾良的Tulane大學獲得計算機科學博士學位。他目前是墨西哥城CINVESTAV-IPN的計算機科學系傑出教授（CINVESTAV-3F研究員）。他撰寫和合著了500多篇技術論文和專書章節。他還與出版商合著了《Evolutionary Algorithms for Solving Multiobjective Problems》（第二版，Springer，2007）一書，並與World Scientific等出版商合編了另外3本書籍。