Advances in Intelligent Systems, Volume 2

Proceedings of the 4th International Conference, Pcems 2025
Erscheinungsjahr 2027
ISBN: 978-981-9275-14-4
Verlag: Springer Nature Singapore

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Electrical Engineering

The proceedings of PCEMS 2025 bring together peer-reviewed research presented at the International Conference on  Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS 2025) hosted by Visvesvaraya National Institute of Technology (VNIT), Nagpur. The volume showcases recent advances in advanced intelligent systems, IoT with AI and natural language processing . Featuring contributions from academia, industry, and research organizations, the proceedings reflect both theoretical developments and practical solutions addressing contemporary challenges in intelligent systems and IoT applications. This collection serves as a valuable reference for researchers, engineers, and postgraduate students working in IoT and embedded systems domain.

Zielgruppe

Research

Autoren/Hrsg.

Ghare, Pradnya H.

Hegde, Rajesh M.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Communication.- Signal and Image Processing.- Embedded Systems and IoT.- AI and Machine Learning.

Über Autor(innen)

Pradnya H. Ghare received her Ph.D. from the Department of Electronics and Communication Engineering at Visvesvaraya National Institute of Technology (VNIT), Nagpur, India. She is currently an Assistant Professor in the same department at VNIT Nagpur. She has published numerous research papers in reputed journals, conferences, and several book chapters. Dr. Ghare has over 20 years of teaching experience. Her research interests include wireless sensor networks, body area networks, EEG signal processing, and the Internet of Things (IoT). She has undertaken various sponsored projects funded by the Government of India and has also developed several IoT-based products. She is a Senior Member of IEEE.

Rajesh M. Hegde is currently a Professor (HAG) in the Department of Electrical Engineering at IIT Kanpur. He previously served as the Umang Gupta Chair Professor for two terms. He has also held key administrative roles, including Head of the Department of Electrical Engineering (2020–2023) and Head of the Centre for Continuing Education (2019–2021) at IIT Kanpur. He has served on the Board of Directors of the IIT Kanpur Research and Technology Park Foundation and the DhartI Foundation at IIT Dharwad. His current research focuses on AI/ML, Federated Learning, and future telecom networks. He has also made significant contributions to multisensor data fusion for localization and node tracking in wireless sensor networks. His research group has developed several AI- and ML-based applications tailored for the Indian context and successfully transferred them to industry for deployment. He has established and led two major research laboratories at IIT Kanpur— the Multimodal Information Systems Lab and the Wireless Sensor Networks/IoT Lab—supported by funding from TCOE, DST, MeiTY, Samsung Research, LG, Seagate LLC, and the Indian Space Research Organisation (ISRO). He is also a member of the National Working Groups of ITU-T (NWG-16 and NSG-6) for the development of multimedia applications.