Intelligent Computing and Optimization for Sustainable Development

Veena Grover is currently working as Professor in the Department of Management at Noida Institute of Engineering & Technology, Greater Noida, UP, India. Prior to this, she worked as a professor in the School of Business at Galgotias University; she has more than 21 years of teaching experience in educational institutions of repute like Lingaya’s University, New Delhi Institute of Management, University of Delhi, DAV Institute of Management, etc. She is a Gold Medallist & university topper in Economics. She has received many appreciation letters and research awards for her teaching, research and administrative skills over the years. Her research interests include microfinance, sustainability, macroeconomic variables, and innovation strategy. Veena Grover earned her PhD from the Department of Business Administration, Deenbandhu Chhotu Ram University of Science and Technology, Murthal (Sonepat). Her proficiency has garnered international recognition, evident through her role as an adjunct faculty member and thesis supervisor at Westford University, UAE. Her influence extends to the global academic stage, where she has been invited as a distinguished panellist, keynote speaker, and session chair at several prestigious conferences, summits, and seminars. A prolific researcher, Grover has contributed significantly to the academic discourse by presenting and publishing more than 35 research papers and book chapters in esteemed international and national conferences, as well as reputable refereed journals. She serves as an editor of the refereed journal, International Journal of Advanced Trends in Technology, Management & Applied Science, and a reviewer of International Journal of Applied Behavioural Economics. She is also a member of the Sustainable Environment and Ecological Development Society (SEEDS), working towards achieving Sustainable Development Goals. She is also Innovation Ambassador under the Ministry of Education to mentor and implement innovative projects and start- ups in educational institutions. Rajesh Kumar Dhanaraj, a distinguished Professor at Symbiosis International University, Pune, India, previously held the same title at Galgotias University, Greater Noida. Recognized among the top 2% of global scientists by Elsevier and Stanford University, he holds a PhD in Computer Science and Engineering from Anna University, Chennai, India. With over 70 authored and edited books, 23 patents, and 150 articles, his research expertise spans machine learning, cyber- physical systems, and wireless sensor networks. As a Senior Member of the IEEE, he fosters global collaborations, delivers tech talks, and serves on editorial boards of prestigious journals like Elsevier and Hindawi. Furthermore, his role extends to advising Texas Instruments Inc., USA, as an Expert Advisory Panel Member. Balamurugan Balusamy is presently working as Associate Dean (student engagement), Shiv Nadar University at Delhi- National Capital Region (NCR). He has also served up to the position of associate professor in his stint of 14 years of experience with VIT University, Vellore, India. His research focuses on blockchain and IoT. He has published 80 technology books and over 150 journals, conference papers, and book chapters. He serves on the advisory committee for several start- ups and forums, and does consultancy work for the industry on Industrial IoT. He has given over 175 talks at events and symposiums. He holds a PhD in “Investigations of cloud computing access control techniques” from VIT University, Vellore, India. Gopal Rathinam is currently working as Assistant Professor in the Department of Information and Communication Engineering, College of Engineering, University of Buraimi, Oman. His research interests include networking and Internet of things.

1. A Journey to Computational Intelligence in Sustainable Development. 2. Business Combining Artificial Intelligence Concentrating on Sustainable Development Goals: A Win-Win situation 3. Deep Neural Networks (DNN) for Sustainable Development for Smart Cities 4. Digital Task Optimization with Resource Allocation in Business Process Management Using Machine Learning Model 5. Design of an Efficient Multi Model Deep Learning Framework for Assessing Mental Workload using Eye Tracking & Physiological Parameters 6. Deep Learning in Smart Manufacturing: Advancements, Applications, and Challenges 7. Fuzzy Optimization Techniques in Agricultural Field using Supply Chain Management 8. Computational Techniques for Banking and Financial Sectors 9. Smart Computing for Green Sustainability 10. Sustainable Manufacturing for Industry 4.0: Navigating the Path to Environmental Responsibility 11. Blockchain Technology for Agriculture Supply Chain Management 12. Computational Intelligence for Biodiversity Conservation 13. Sailing the Waves of Sustainable Entrepreneurship: Unveiling the Moderator Role of Technological Adoption in SMEs Innovation 14. Robotic Process Automation: The Tangible and Human Shift in Business Process Efficiency.