H. Subramani Palanisamy MSc (Hari)

I am part of the AI in Manufacturing competency group at the Fraunhofer Innovation Platform for Advanced Manufacturing at the University of Twente (FIP-AM@UT), where I have been working since April 2021 as Research Engineer. My work focuses on engineering advancing intelligent systems for industrial applications, with a particular emphasis on developing AI-driven, data-informed, and autonomous workflows for manufacturing environments.

I hold a Master’s degree in Applied Physics and Electronics, with a specialization in Robotics and Control, from Umeå University, Sweden. Prior to that, I obtained a Bachelor of Technology in Mechatronics from SASTRA University, Thanjavur, India. After completing my studies in Sweden, I worked in the automotive sector with organizations including Volvo Cars, Scania Trucks, and Zenuity (Volvo–Autoliv joint venture). During this period, I contributed to software development for autonomous driving applications and worked on traction battery systems, focusing on features such as battery state-of-health estimation and vehicle climatization functionality.

My research interests lie at the intersection of electronics, learnable algorithms, and control systems, aiming to create systems that can perceive, act, learn, and adapt in real time. I am particularly interested in how machines can be made smarter through:

• Computer vision for quality inspection of products and processes
• Machine learning techniques for industrial automation
• Predictive modelling of processes and systems
• Explainable and trustworthy AI for critical decision-making
• Generative AI and agentic workflows
• Hardware–software integration for cyber-physical systems

I am currently exploring how machines and industrial systems can learn to make better decisions over time. Instead of relying only on sensor data, I combine information from different sources, such as expert knowledge, operator feedback, and transparent decision‑support tools, to help systems understand why they take certain actions and how to improve them. My goal is to develop industrial workflows that can adapt, learn from experience, and support people in making safer, more efficient, and more reliable decisions.

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University of Twente

Fraunhofer Innovation Platform (building no. 74), room 105
Hengelosestraat 701
7521 PA Enschede
Netherlands

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