Signal Processing and Machine Learning for Next-Generation IoT Applications
This tutorial is a part of IEEE Education Week Sri Lanka which was held at TRACE Expert City on the 24th & 25th of April 2024.
Abstract: The talk on "Signal Processing and Machine Learning for Next-Generation IoT Applications" explored the intersection of advanced signal processing techniques and machine learning (ML) methodologies to address the evolving demands of IoT systems. It provided an overview of how signal processing enables efficient data extraction and transmission, while ML enhances IoT applications through data-driven insights and autonomous decision-making.Key topics included supervised learning approaches for location sensing, predictive maintenance, and healthcare monitoring; unsupervised learning for anomaly detection, clustering, and data visualization; and reinforcement learning for optimization and control in dynamic IoT environments. Case studies demonstrated real-world applications such as indoor localization, ambient assisted living (AAL), environmental monitoring, and structural health monitoring, with an emphasis on overcoming challenges like fluctuating RSSI signals in indoor positioning systems (IPS).The talk also highlighted the limitations of traditional deterministic and probabilistic algorithms and showcased how ML algorithms offer improved accuracy, robustness, and system efficiency. Future research directions were discussed, particularly the integration of Reconfigurable Intelligent Surfaces (RIS) with hybrid localization technologies to enhance localization accuracy in dense IoT environments.This session provided a holistic view of how signal processing and ML are shaping the future of IoT, offering attendees insights into the potential and challenges of developing intelligent, adaptive, and reliable IoT solutions.
Date and Time
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- Trace Expert City
- Colombo , Sri Lanka
- Sri Lanka 01000
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- Co-sponsored by Udaya Sampath K P Miriya Thanthrige
Speakers
MWP Maduranga of Centre for Telecommunication Research, Sri Lanka Technology Campus
Signal Processing and Machine Learning for Next-Generation IoT Applications
Dr. MWP Maduranga, Senior Lecturer, Centre for Telecommunication Research, Sri Lanka Technology Campus, Ingiriya Road, Padukka , Sri Lanka
Biography:
MWP Maduranga (Senior Member, IEEE) is currently a Senior Lecturer at the Faculty of Computing & IT, Sri Lanka Technology Campus (SLTC), Sri Lanka and also serves as a Co-Principal Investigator at the Centre for Telecommunication Research at the same institution. He also work as a Visiting Researcher at the Bangkok University Center of Research in Optoelectronics, Communications, and Computational Systems (BU-CROCCS), Thailand. He received his B.Sc. Eng. in Electronic Engineering from the School of Engineering, Asian Institute of Technology (AIT), Thailand, in 2013, his M.Sc. Eng. in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka, in 2017, and his Ph.D. from the IIC University of Technology, Kingdom of Cambodia, in 2022.Dr. Maduranga has co-authored several indexed journal and conference papers and has served as a reviewer and technical program committee member for numerous international conferences, including IEEE R-10 conferences. His current research interests include wireless communication, radio-based localization and sensing, and AI/ML-based communication system design, with a focus on the evolution of 6G technology.
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Address:Sri Lanka