Hi, I’m Aravinda.

I am a Professor at RNSIT, Bangalore, where I focus on the intersection of Artificial Intelligence, the Internet of Things (IoT), and Computer Vision. My academic journey began with a Master of Engineering from Deakin University, followed by a PhD from the University of Melbourne—experiences that deeply shaped my approach to solving complex engineering problems.

What I’m Working On

My research is driven by a curiosity about how intelligent systems can interact with the physical world. While my foundation is in Machine Learning and Deep Learning, I am currently diving deep into the emerging field of Agentic AI. I’m fascinated by the potential of autonomous agents to enhance decision-making in everything from smart cities to digital forensics.

Over the years, I’ve had the privilege of publishing research on a variety of topics, including:

• Blockchain & Crypto Forensics: My work in this space focuses on the security and traceability of decentralized ledgers. Most recently, in ACM Distributed Ledger Technologies, I’ve explored advanced methods for forensic analysis to identify and mitigate risks within complex cryptocurrency ecosystems.
• Computer Vision & Visual Analytics: I develop deep learning models for high-stakes environments, ranging from autonomous structural health monitoring and crack detection to sophisticated video surveillance. My research also extends into crowd behavior analysis, using computer vision to enhance safety and operational efficiency in high-traffic urban spaces.
• Biomedical Image Processing & Wearables: I am deeply interested in the intersection of AI and healthcare, specifically in processing complex medical imagery for faster diagnostics. My work with wearable devices focuses on real-time health monitoring and data integration, aiming to provide proactive, personalized insights for patient care.
• IoT & Smart Urban Systems: I design and implement IoT architectures tailored for real-time environmental monitoring. A core part of this research involves urban microclimate analysis, where I use sensor networks to understand and optimize the living conditions within rapidly growing smart cities.