Intelligent Systems and Sustainable Computing

Intelligent Systems and Sustainable Computing

Innovations in Data Engineering and Analytics: Proceedings of ICISSC 2024, Volume 1

This book is a collection of best selected research papers presented at Fourth International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2024), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 20–21, 2024. This book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication. This book is presented in two volumes.

This book is a collection of best selected research papers presented at Fourth International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2024), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 20–21, 2024. This book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication. This book is presented in two volumes.

Highlights

• Covers recent research on intelligent systems and sustainable computing Results of the ICISSC 2024 conference held in Hyderabad, India Serves as a reference for researchers and practitioners in academia and industry

Über den Autor

Dr.V Sivakumar Reddy, a professor and vice-chancellor, Malla Reddy University, has an experience of more than 28 years in Teaching and Industry put together. He is an alumni of Indian Institute of Technology, (IIT) obtained his Ph.D., and he is versatile in Multidisciplinary Specializations in Communications and Computer Science Engineering. His laurels include more than 150 Publications in reputed International and National Journals and conference Proceedings. He was awarded as “Best Teacher” in three consecutive Academic years with citation and cash award. He is the recipient of “India Jewel Award” and “Global intellectual Award-2021” for outstanding contribution to research/academics in the field of Engineering and Technology. He was a member of Board of Studies for JNT University, Hyderabad, India. He is an accomplished academician, renowned speaker, and visiting professor to various Universities in UK and Malaysia.

Dr. C. Krishna Mohan is currently a professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad (IIT Hyderabad), India. He received his M.Tech. from NITK Surathkal and Ph.D. from the Indian Institute of Technology Madras (IIT Madras). Prof. Krishna Mohan heads Visual Learning and Intelligence Lab (VIGIL) at IIT Hyderabad working in the research areas of video content analysis, computer vision, machine learning, and deep learning. He is a recipient of the Excellence in Teaching Award, in recognition of distinguished teaching in the years 2018 and 2021 at IIT Hyderabad. He has published more than 100 papers in peer-reviewed international journals and conference proceedings. He has successfully carried out several projects with industry, government agencies, and academia. 
Dr. Guru Subramanyam is a professor in the Electrical & Computer Engineering Department at the University of Dayton. He earned his Ph.D. (1993) and M.S. (1988) in Electrical Engineering from the University of Cincinnati, following a B.E. in Electrical & Electronics Engineering from the University of Madras, India. Subramanyam has received prestigious fellowships including the NRC/AFOSR summer faculty fellowship and the NASA/OAI summer faculty fellowship. A prominent researcher, he has published over 100 papers in leading international journals and conferences and holds a patent for Tunable Electromagnetic Bandgap Structures Based on High Resistivity Si Substrates. He actively reviews manuscripts for several high-impact journals, including IEEE Microwave Theory and Techniques and Applied Physics Letters. Subramanyam is a senior member of IEEE and is involved with several other professional societies.

Dr. Naga Mallikarjuna Rao Dasari is currently a professor in the Faculty of Science and Technology at Federation University, Australia. He earned his Ph.D. in Computer Science from the University of South Australia and a Master of Technology from Jawaharlal Nehru Technological University, India. Dr. Dasari has over 25 years of experience in academia, including curriculum development and implementation, course coordination and delivery, teaching, education administration, and research. He has published approximately 50 research papers in reputable international journals and has received the Best Teacher Award three times for his exceptional performance. Dr. Dasari also served as the principal investigator for the Data Quality Project sponsored by the Department of Education, South Australia, and received two state awards at GovHack 2018. Additionally, he won a prize at GovHack, Australia’s largest open government and open data hackathon, in 2019. He is a professional member of IEEE.