Synopsis
Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.
À propos des auteurs
Dr. G S Prakasha is an Associate Professor at School of Education, Christ University Central campus, Bangalore, India. He has 21+ years of teaching and research experiences in Education. His research interest areas are Teacher-education, Educational-technology, Teaching-learning, Assessment-evaluation, and Higher education. He has published research articles in peer-reviewed journals indexed in Scopus and web of science. He conducts Quantitative data-analysis workshops and delivers lectures on Research and Publication. He is an active editorial board member for Sage Open, Springer Nature, Tylor & Francis, and IGI Global. He is actively involved in research activities, which have national and international importance.
Dr. Maria Lapina is working as Deputy Director for Research of the Institute of Digital Development and Associate Professor of the Department of Information Security of Automated Systems at North Caucasus Federal University, Stavropol, Russia. She has more than 20 years of teaching experience. She received PhD in mathematics from Stavropol State University in 2005 and received an associate professor degree in 2009. She obtained her Master's degree in Information security. She defended her master's thesis at the North Caucasus Federal University with honors in 2015. Her research interests include Data Science, Machine Learning, Big Data, Cybersecurity, Cryptography, Trusted Artificial Intelligence, Edu-Tech, Teacher Education, & Higher Ed. She has published in peer-reviewed journals indexed in Scopus and WoS. She has more than 100 research papers. He has written book chapters in international publishing houses like Taylor & Francis, IGI Global and Springer. She is an active editorial board member for Springer Nature and IGI Global. She is the editor of books titled "Educational Perspectives on Digital Technologies in Modeling and Management", & "Digital Technologies in Modeling and Management: Insights in Education and Industry" published by IGI Global. She is an active reviewer of MDPI publishing journals Educational Sciences, Drones, Sensors, Mathematics, AgriEngineering. She is the organizer, co-chair and editor of the proceedings of international scientific events: SLET-2019, 2020, 2021, 2022, 2023: International Conference Innovative Approaches to the Application of Digital Technologies in Education, AISMA-2021, 2022, 2023, 2024: International Workshop on Advanced in Information Security Management and Applications, DMAI-2021: International Workshop on Data Mining and Al, YRID-2020: International Workshop on Data Mining and Knowledge Engineering. She has participated in international internships at Sapienza University of Rome (Italy), the University of Ljubljana (Slovenia), the Technical University of Dresden (Germany) and the 2nd ASEF Innovation Laboratory of Higher Education (ASEFInnoLab) at Fudan University in Shanghai, China. She received a grant from the Vladimir Potanin Foundation and an award as the Best Lecturer of Russia. She is a finalist of the All-Russian management competition "Leaders of Russia".
Deepanraj Balakrishnan is currently working as Research Faculty in the Department of Mechanical Engineering, College of Engineering at Prince Mohammad Bin Fahd University, Saudi Arabia. Dr. Deepanraj received his Bachelor’s degree in Mechanical Engineering and Master’s Degree in Thermal Engineering from Anna University, Chennai and Ph.D degree in Mechanical Engineering from National Institute of Technology, Calicut. He also completed his MBA in Energy Management from Jaipur National University. He has more than10 years of working experience, which include both teaching and research. Dr. Deepanraj has published more than 100 research articles in peer reviewed international journals and conferences and holds 2 Indian patent. He is serving as guest editor, editorial board member and reviewer for many international peer reviewed journals including well known publishers like Elsevier, Springer and Inderscience. His area of interest includes Renewable Energy Utilization; Energy Conservation and Waste Management and Optimization Techniques.
Mohammad Sajid is an assistant professor in the Department of Computer Science at Aligarh Muslim University, India. He has completed PhD (2016), M. Tech (2012) and MCA (2010) from the School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi. His research interests include Evolutionary and Swarm Intelligence Algorithms, Machine Learning, Combinatorial Optimization Problems, Cloud Computing, Applications of Scheduling and Routing, and Intelligent Transportation Systems. He was awarded a research Startup Grant (INR 10 lakhs) from UGC-BSR (2017), India. He has published many research papers in international conferences and journals of repute (including IEEE, ACM, Elsevier, Springer, Wiley, Taylor & Francis, IGI Global, etc.). He has also published five edited books in CRC Press, Springer (LNNS), and IGI Global. He reviews papers for several reputed international journals (including ACM, IEEE, Taylor and Francis, Elsevier, Springer, Wiley, etc.).
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