Applications of Decision Science in Management (eBook, PDF)
Proceedings of International Conference on Decision Science and Management (ICDSM 2022)
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Applications of Decision Science in Management (eBook, PDF)
Proceedings of International Conference on Decision Science and Management (ICDSM 2022)
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This book covers research trends of data science and management involving cutting edge technologies and novel research directions from diverse fields of industries, business and government sectors. It involves usage of various advanced tools and techniques for understanding different data collected at the grassroot level to generate actionable insights for making crucial decisions. This book aims to serve as a reference book for researchers in the area of decision science for management. It covers alternative solutions with innovative ideas and issues from different fields of business management.…mehr
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- Produktdetails
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 7. September 2022
- Englisch
- ISBN-13: 9789811927683
- Artikelnr.: 65655657
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 7. September 2022
- Englisch
- ISBN-13: 9789811927683
- Artikelnr.: 65655657
Dr. Srikanta Patnaik is Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India. He has received his Ph. D. Engineering) on Computational Intelligence from Jadavpur University, India, in 1999 and supervised 25 Ph. D. Theses and more than 60 Master theses in the area of computational intelligence, soft computing applications and re-engineering. Dr. Patnaik has published around 100 research papers in international journals and conference proceedings. He is author of 2 text books and 32 edited volumes and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik is Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published by Inderscience Publishing House, England, and also Editor-in-chief of Book Series on ‘Modeling and Optimization in Science and Technology’ published by Springer, Germany; Book Series on Advances in Computer and Electrical Engineering (ACEE) and Book Series on Advances in Medical Technologies and Clinical Practices (AMTCP), published by IGI-Global, USA. He is the Editor of Journal of Information and Communication Convergence Engineering, published by Korean Institute of Information and Communication Convergence Engineering. He is also Associate Editor of International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), published by IGI-Global and International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS) published by Inderscience Publishing House, England.
Dr. Chun Ho Jack Wu holds Bachelor of Engineering in Industrial and Systems Engineering and a PhD in Manufacturing and Industrial Engineering. He also holds a six-sigma black belt certification from the Hong Kong Society of Quality and he contributes regularly to research papers in the areas of Internet of things, engineering optimization and business intelligence. In collaboration with several scholars at PolyU, Tianjin University, Sun Yat-sen University, the University of York, etc., his project works and research outcomes have been presented in 10+ international conferences and published in 30+ international refereed journals, such as information science, Internet research, expert systems with applications, enterprise information systems, industrial management and data systems. He is also one of the authors of IoT: The Basic, Applications and Case Studies, and System Design and Technology of Biomedical Internet of Things. Dr. Wu worked closely with many industrial partners such as Towngas Telecommunications Co Ltd, Leo Paper Bags Manufacturing (1982) Ltd, Dr. Kids Education Group Ltd, and Photon Int. Ltd, to support and contribute to the formulation of their business strategies, operations improvement and new product development. Dr. Wu was the recipient of the Big Data Analysis Award from the China and Hong Kong Enterprise Market Development Association in 2014, and the Best Reviewer Award for a journal entitled Internet Research in 2016. In 2015, his biographical profile has been selected for inclusion in the Marquis Who's Who in the World(R) 2016. Dr. Wu is a member of IEEE and the British Machine Vision Association and Society for Pattern Recognition and a senior member of the Hong Kong Society of Quality. Additionally, Dr. Wu serves on the editorial boards of the International Journal of Engineering Business Management and Enterprise Information Systems. Dr. Wu’s area of interest is in the field of smart logistics and manufacturing.
Leonilde Varela received her PhD degree in Industrial Engineering and Management from the University of Minho, Portugal, in 2007. She is Assistant Professor at Department of Production and Systems of University of Minho. Her main research interests are in manufacturing planning and control, scheduling, decision support and Web-based systems and services, collaborative networks, and virtual and distributed enterprises, artificial intelligence, optimization and meta-heuristics. She has published more than 80 refereed scientific papers in international conferences and in international scientific books and journals. She coordinates R&D projects in the area of Production and Systems Engineering, namely concerning the development of web-based platforms and decision support systems and methodologies. She is a frequent paper reviewer for several journals, including the Journal of Computer Integrated Manufacturing and the Journal of Decision Systems. She is a member of several groups, namely of the Euro Working Group of Decision Support Systems (EWG-DSS) and Machine Intelligence Research Labs (MIR Labs).