
Proceedings of International Conference on Emerging Smart Technology for Sustainable Development
Description
This book includes the proceedings of international conference on Emerging Smart Technology for Sustainable Development (ESTSD-2025). The book covers a wide range of topics related to smart cities and urban development, artificial intelligence and machine learning, advanced data communication and edge computing, renewable energy and smart grids, digital health and smart health informatics, etc. The book explores how new scientific discoveries and technologies can align with the United Nations Sustainable Development Goals and create pathways toward achieving a more sustainable and equitable future. It also encourages interdisciplinary collaboration among experts from various fields. The book serves to policymakers, industry leaders, academicians and students for the future directions towards sustainability.
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Persons
Subrata Sahana is an Associate Professor in the Department of Computer Science and Engineering at Sharda University, Greater Noida, Uttar Pradesh. He earned his Ph.D. in Computer Science from Jawaharlal Nehru University (JNU), New Delhi, one of India's premier central universities. He completed his M.Tech in Computer Science and Engineering from BIT Mesra in 2010 and his B.Tech in Computer Science and Engineering from CEMK, Kolaghat in 2007. He has authored numerous publications in reputed international journals and conferences. He also serves on editorial and reviewer boards for leading publishers. His research interests span Underwater Wireless Sensor Networks, pattern matching, bioinformatics, Internet of Things (IoT), security, and cryptography.
Sanjoy Das is a Professor in the Department of Computer Science at Indira Gandhi National Tribal University (IGNTU), a Central Government University, at its Manipur Campus. He earned his Ph.D. in Computer Science from Jawaharlal Nehru University (JNU), New Delhi, and brings with him over two decades of academic experience encompassing teaching, research, and institutional development. His extensive teaching and mentoring experience has enabled him to guide numerous undergraduate and postgraduate students, as well as research scholars. Prof. Das's research interests include Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs), distributed systems, and data mining. He has made notable scholarly contributions through publications in reputed international journals and conferences.
Paulo Sergio Rufino Henrique is a distinguished electrical engineer, scientist, author, and keynote speaker with expertise in telecommunications, media and broadcasting systems, quantum computing, and next-generation wireless networks. He holds a degree in Electrical Engineering from FESP, Brazil, and a postgraduate diploma in 5G Wireless Communication Systems from Brunel University London, UK. Currently based in Paris, France, he works as a leading scientist in Quantum Technologies and 6G Networks at CTIF Global Capsule (CGC). He began his professional career at UNISYS, São Paulo, where he spent nearly nine years in corporate network services, before joining British Telecom Brazil, managing MPLS, satellite, and IP telephony solutions, and later advancing to the role of Global Services Operations Manager. In the UK, he contributed to broadband and IPTV operations, including the launch of the country's first UHD (4K) television channel, and subsequently worked with Vodafone UK and Babcock on broadband quality and OTT services. He is the co-author of the book "6G Networks - The Road to the Future Wireless Technologies 2030" and actively contributes to global research initiatives, conferences, and academic collaborations.
Content
Track-1. Smart Cities and Urban Development.- Smart infrastructure and intelligent transportation systems.- Urban IoT and real-time city data.- Energy-efficient smart buildings.- Data-Driven Urban Planning.- Technological Integration in Cities.- Artificial Intelligence in City Management.- Track-2. Artificial Intelligence and Machine Learning.- AI for smart decision-making in development.- ML applications in energy, healthcare, and agriculture.- Ethical AI and data privacy in smart systems.- Explainable and responsible AI in public services.- Heuristic and AI Planning Strategies and Tools.- Advance Data Communication and Edge Computing.- Smart sensors and IoT in urban and rural development.- Edge computing and real-time analytics.- Industrial IoT (IIoT) for smart manufacturing.- Applications of Compressive Sensing Theory.- Advanced drone technology.- Ubiquitous Computing.- Global Software Engineering.- Pervasive Computing and Ambient Intelligence.- Track-4. Renewable Energy and Smart Grids.- Smart energy management systems.- Solar, wind, and hybrid energy technologies.- Decentralized energy solutions for remote areas.- Integration of AI in energy forecasting and distribution.- Modern Power Electronics, Drives and Controls.- Power System Management Technologies.- Energy Efficiency and Smart Grid Technologies.- Renewable Energy Systems.- Track-5. Robotics Automation and Networking.- Robotics in construction and healthcare.- Autonomous systems and human-robot interaction.- AI-powered automation in smart industries.- Precision farming and automated food systems.- Track-6. Digital Health and Smart Health Informatics.- AI and wearable tech for remote patient monitoring.- Telemedicine and smart diagnostics.- Data-driven public health policy.- Bioinformatics and health data analytics.