IEEE distinguished lecture at UTM advances global collaboration in sustainable AI and IoT

Ir. Dr. Hazilah Mad Kaidi

📝 Summary

The IEEE Distinguished Lecture Series at Universiti Teknologi Malaysia (UTM) featured a renowned researcher, Prof. Swades De, who discussed the application of Artificial Intelligence and Machine Learning (AI/ML) in sustainable Internet of Things (IoT) systems. The lecture highlighted the potential of AI-assisted IoT technologies to improve communication efficiency, reduce energy consumption, and enable intelligent decision-making in smart environments. The event fostered international collaboration and knowledge exchange, contributing to the development of sustainable AI and IoT technologies.

KUALA LUMPUR, June 29 – Universiti Teknologi Malaysia (UTM), through the Faculty of Artificial Intelligence (FAI), Wireless Communication Centre (WCC) and the Ubiquitous Broadband Access Network (U-BAN) Research Group, successfully co-organized the IEEE Distinguished Lecture Series with the Institute of Electrical and Electronics Engineers (IEEE) Malaysia Communications Society (ComSoc) and Vehicular Technology Society (VTS) Joint Chapter.

The event featured Prof. Swades De from the Indian Institute of Technology (IIT) Delhi, a globally renowned researcher in communication networks, sustainable resource optimization and Green Internet of Things (IoT).

His distinguished lecture entitled AIML-Aided Sustainable IoT for Smart Environments: Theory and Technology Development attracted researchers, academic staff, postgraduate students, and IEEE members.

The program provided an excellent platform for participants to gain insights into the latest developments in Artificial Intelligence and Machine Learning (AI/ML), edge computing, and intelligent resource optimization for sustainable Internet of Things (IoT) applications.

During the lecture, Prof. De highlighted the limitations of conventional network traffic models in addressing the dynamic nature of modern IoT systems. He demonstrated how lightweight AI algorithms, edge intelligence, and data-driven optimization techniques can improve communication efficiency, reduce energy consumption, and enable intelligent decision-making across smart cities, smart grids, cognitive radio networks and other next-generation digital infrastructures. Drawing upon real-world research and deployment experiences, he illustrated how AI-assisted IoT technologies are transforming the design of sustainable communication systems while supporting multidisciplinary innovations for future smart environments.

Prof. De highlighted the rapid expansion of the global IoT ecosystem, where billions of connected devices are expected to be deployed in the coming years. As IoT applications continue to grow across industries, energy sustainability, efficient spectrum utilization, and intelligent resource management have become fundamental challenges. He explained that AI and machine learning are key enablers for developing scalable, energy-efficient and sustainable IoT networks capable of supporting future smart environments.

Prof. Swades De sharing insights on AI-enabled Sustainable IoT

Beyond the technical knowledge shared, the Distinguished Lecture served as a valuable platform for strengthening international collaboration and global academic networking.

Participants engaged in meaningful discussions on emerging research trends, explored potential collaborative projects, and exchanged ideas on addressing current challenges in sustainable communication technologies. The programme also created opportunities to establish stronger research links and the wider international research community through future joint publications, collaborative grants, student exchanges, and technology development initiatives.

The event reflects UTM’s continued commitment to expanding its international research ecosystem by collaborating with globally renowned institutions and professional organizations such as IEEE. Such strategic partnerships not only enrich academic excellence but also enhance knowledge transfer, innovation, and industry engagement, contributing to the development of globally relevant research that addresses real-world challenges.

The Distinguished Lecture also supports UTM’s aspiration to become a leading global research university while advancing several United Nations (UN) Sustainable Development Goals (SDGs). The programme contributes to SDG 4 (Quality Education) by promoting lifelong learning and knowledge exchange, SDG 9 (Industry, Innovation and Infrastructure) through the advancement of intelligent and sustainable communication technologies, SDG 11 (Sustainable Cities and Communities) by showcasing AI-enabled smart environment solutions, and SDG 17 (Partnerships for the Goals) by strengthening collaboration among universities, professional societies, researchers, industry partners and international experts.

Through initiatives such as the IEEE Distinguished Lecture Series, UTM continues to cultivate a globally connected research community that drives innovation, fosters international partnerships and accelerates the development of sustainable AI and IoT technologies. These collaborative efforts reinforce UTM’s role in producing impactful research, nurturing future talent, and contributing to technological solutions that benefit society both nationally and globally.