Mr.Gaurab Mudbhari

Faculty Description

Mr. Gaurab Mudbhari is an Assistant Professor (OG) in the Department of Computer Science and Engineering at Sri

Ramakrishna Engineering College. He holds an M.E. in Artificial Intelligence and Data Science (2023–2025) with

First Class with Distinction, and a B.E. in Computer Science and Engineering (2018–2022), both from Sri Ramakrishna Engineering College. Prior to his current academic role, he contributed as a Django Developer at an E-Governance company in Nepal.

He is an active researcher in Artificial Intelligence, Computer Vision, and Image Processing, with notable contributions to deep learning frameworks for image segmentation, face restoration, real-time emotion detection, and intelligent system design. He has presented at leading conferences, including the National Conference on Bigdata Analysis (NCBA-24), where he showcased his paper "A Big Data-Driven Deep Learning Framework for Real-Time Medical Image Segmentation," and the 2nd International Conference on Cognitive Computing and Artificial Intelligence, presenting on leveraging Vision Transformers for real-time emotion detection in retail environments.

Gaurab has authored a book chapter, currently in press, titled "Beyond Encryption: Generative AI," for the Wiley– Scrivener edited volume, highlighting the transformative role of AI in modern encryption systems. He has successfully completed several specialist programs, including "Natural Language Processing with Deep Learning" (E&ICT Academy, NIT Patna/Jamshedpur, MeitY), and AICTE-ATAL Faculty Development Programs on "Deep Learning Intelligent Video Analytics and Computer Vision" and "A Step-by-Step Guide to Write a Good Research Paper." He is a certified member of the IEEE Computer Society (Graduate Student Member, 2025).

Demonstrating excellence in competitive innovation, he secured the Best Project Award (₹10,000) at UYIR Hackathon 2025 for leading the "Community Support System for Safe Travel by Identifying Road Hazards," and won the PARADIGM SHIFTER special category prize at the Vihansha Hackathon for a blockchain-based online voting system.

His technical proficiency is reinforced by industry certifications such as "Fundamentals of Deep Learning" and

"Building Real-Time Video AI Applications" from NVIDIA, as well as comprehensive training in C-Programming,

Data Security with Microsoft 365 Copilot, and Privacy & Security in Online Social Media (NPTEL, IISc/IIIT

Hyderabad). He has also completed project work on “Hand Tracking and Controlling Computer Cursor Using Image Processing,” which was published in Scopus-indexed conference, demonstrating practical expertise in humancomputer interaction using deep learning and vision techniques.

Gaurab Mudbhari's core research interests include generative AI, computer vision, medical imaging, real-time intelligent systems, and the integration of deep learning models for robust and transparent decision applications.