The workshop on “Hyperparameter-Free Information Theoretic Learning” focused on advanced concepts in information-theoretic learning, machine learning algorithms, and hyperparameter-free model development. The sessions provided participants with exposure to learning approaches that reduce dependence on manually selected hyperparameters and improve the adaptability of machine learning methods. The workshop emphasized understanding the underlying principles of information-theoretic learning and data-driven model optimization. It also helped participants connect theoretical learning concepts with practical machine learning and intelligent-system applications. Overall, the workshop enhanced participants’ technical awareness of information-theoretic methods and their application in modern machine learning. 

The workshop also emphasized the importance of robust learning frameworks, efficient data processing, and improved model adaptability in addressing complex machine-learning problems. Participants gained insights into how information-theoretic approaches can support effective feature representation, learning from data, and development of reliable intelligent systems without excessive manual parameter tuning. The sessions encouraged participants to explore these techniques for research-oriented applications and emerging AI/ML problems, thereby strengthening their understanding of advanced machine-learning methodologies. 

The Short-Term Training Programme (STTP) on “Design Principles in Drones and Robotics” focused on the fundamental and advanced aspects of designing, developing, and integrating drone and robotic systems. The programme provided participants with technical exposure to system architecture, mechanical and electronic design, embedded systems, sensors, control mechanisms, communication, and autonomous operation involved in drones and robots. It brought together experts from academia and industry, providing insights into practical design approaches, engineering challenges, and emerging technologies in the field. The STTP emphasized the importance of interdisciplinary integration of electronics, embedded systems, control, software, and mechanical components for developing reliable and intelligent robotic platforms. Overall, the programme strengthened participants’ technical understanding of design methodologies and practical considerations for developing modern drones and robotic systems. 

The STTP also emphasized the complete development cycle of drone and robotic platforms, from conceptual design and component selection to system integration and testing. Participants gained exposure to the role of microcontrollers, sensors, actuators, communication modules, embedded programming, and control systems in building functional robotic platforms. The programme highlighted practical considerations such as system reliability, real-time operation, energy management, communication, and coordination between hardware and software components. Industry participation provided an additional perspective on real-world engineering requirements, design practices, and technology deployment in drones and robotics. Overall, the STTP provided a structured technical foundation for participants to analyse, design, integrate, and develop drone and robotic systems for practical and research-oriented applications.