Keynote Speakers

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Dr. Ganesh Neelakanta Iyer
​ National University of Singapore
Harnessing Signals, Transforming Data: AI's Impact on Cultural Heritage, Education and Healthcare

Abstract: This talk explores the diverse applications of Artificial Intelligence through three active projects. Firstly, we investigate the potential of TinyML for healthcare, focusing on the real-time analysis of medical signals at the network's edge for localized diagnosis and monitoring. Secondly, we'll delve into the use of Large Language Models and Generative AI for enhancing AI education and software engineering. These projects explore AI for creating customized learning expereinces and LLMs for large scale software engineering projwcts. Finaly , we'll examine how AI can preserve cultural heritage through a set of projects focused on Kathakali and Wayang Kulit. By employing techniques like deep learning, we explore how AI can analyze different aspects of Kathakali performances, ensuring the preservation of this rich art form for future.
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Dr. Hari Prabhat Gupta
​ IIT (BHU) Varanasi
Insights from Deploying and Measuring LoRa Technology in Smart Campus Environments

Abstract: This talk explores the crucial role of Low Power Wide Area Networks (LPWAN) in IoT wireless networking, and complementing both cellular networks and short-range options. In this session, we share our recent experiences in deploying and measuring LoRa, a top LPWAN technology.

We'll showcase how LoRa's commitments to reduced radio power, extended communication range, and efficient channel access are validated through real-world evaluations, with a special focus on implementations within smart campus environments.
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Prof. Michael Sheng
​ Macquarie University, Sydney, Australia
Intelligent IoT Sensing for Aging Well: Research Activities and Future Directions

Abstract: Worldwide, the population is aging due to increasing life expectancy and decreasing fertility. The significant growth in older population presents many challenges to health and aged care services. Over the past two decades, the Internet of Things (IoT) has gained significant momentum and is widely regarded as an important technology to change the world in the coming decade. Indeed, IoT will play a critical role to improve productivity, operational effectiveness, decision making, and to identify new business service models for social and economic opportunities. With the development of low-cost, unobtrusive IoT sensors, along with data analytics and artificial intelligence (AI) technologies, there is now a significant opportunity to improve the wellbeing and quality of life particularly of our older population. In this talk, we will overview some related research projects and also discuss several exciting research directions.
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Dr. Sreejith Vidhyadharan Nair
​ University of North Dakota, USA
Advancing Airspace Safety and Security using UAV Risk analysis and Acoustic Counter-UAS

Abstract: The abstract outlines the integration of Unmanned Aerial Systems (UAS) into the National Airspace System (NAS), emphasizing the need for safety and security measures to mitigate risks associated with drone operations. The presentation will discuss the critical role of risk analysis in managing UAVs, leveraging data analytics, probability, and machine learning to predict the optimal day and time for operation. It will also address the importance of regulating the number of UAVs to prevent airspace congestion and maintain traffic efficiency. Furthermore, the talk will explore counter-UAS strategies, including the implementation of distributed acoustic systems to detect, identify, and track intruder UAVs, thereby ensuring safety and privacy in sensitive areas.


Tutorial Speakers

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Prof. Ponnurangam Kumaraguru
​ IIIT Hyderabad
Responsible & Safe AI

Abstract: In a world increasingly shaped by AI technologies, including influential models like ChatGPT and DALL.E, common applications of AI in natural language understanding, image generation, and more are prominent. There is an increased use of AI models in various applications, from enhancing customer service interactions to enabling creative image generation and autonomous vehicles. One can now use specialized GPTs for a variety of usecases through a AppStore-like AI marketplace, straight out-of-the-box. However, with great power comes great responsibility, and it's imperative to acknowledge the ethical, responsible, and fairness issues that accompany these powerful systems. Zooming out to the bigger picture, the talk will address the criticality of identifying ethical, responsible, and auditing requirements for AI systems. Our discussion will encompass a comprehensive exploration of AI, spanning computational, cultural, and legal dimensions. This would include exploring the potential harms arising from modern AI capabilities in experimental and real-world contexts, ongoing research projects and ideas for enhancing AI system safety, specific projects related to addressing bias in Large Language Models (LLMs) and their effective application in legal contexts, as well as methods to improve interpretability, consistency, and the removal of harmful labels and knowledge from these models.