Sripadam Sujith Sai

I am Sripadam Sujith Sai, a recent Chemical Engineering graduate (Class of 2025) from NIT Rourkela, with an exchange term at IIT Hyderabad.

My research interests lie at the intersection of AI+Science and Geometric deep learning, with practical experience in computer vision, deep learning, and human–robot interaction fields I am equally passionate about.

I’ve had the opportunity to work with:

• Prof. Kishalay Mitra at the Gokul Lab, IIT Hyderabad — worked on developing physics-informed neural networks to model complex crystallization processes in the chemical industry. Also contributed to the optimization of water distribution networks in refineries, focusing on minimizing waste and improving efficiency.
• Dr. François Brémond at the STARS Group, INRIA (France) — research focussed on designing deep learning models capable of anticipating anomalies in spatio-temporal video sequences, enabling early detection of unusual patterns in surveillance and behavioral monitoring contexts.
• Prof. Hatice Gunes at the AFAR Lab, University of Cambridge — contributed to research on multimodal affective computing by developing graph-based deep learning models to assess children's mental wellbeing from behavioral cues perceived by robots. These models integrated facial expressions, body posture, and voice to evaluate mental wellbeing.

Earlier, I worked on developing machine learning models for CO₂ capture and conversion.

Outside research, I enjoy playing badminton and brainstorming on creative technology applications (a few ideas are born from this).

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Achievements

• 2024 Winner, Smart India Hackathon – National innovation competition focused on real-world problem-solving