About Me

I am a Research Engineer at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), affiliated with the SPriNT-AI Lab (Security, Privacy and Trustworthiness in Artificial Intelligence) and the CERT Lab (Collaboration, Efficiency, Responsibility and Trust). I am fortunate to be advised by Prof. Karthik Nandakumar and co-advised by Prof. Praneeth Vepakomma, and also fortunate to collaborate closely with Fahad Shamshad.

I recently obtained my Master’s degree in Computer Vision from MBZUAI, under the supervision of Prof. Muhammad Haris Khan and Prof. Karthik Nandakumar. Prior to that, I pursued my undergraduate degree in Computer Science and Engineering at the National Institute of Technology Durgapur (NIT Durgapur). I have also worked as a research intern with Prof. Ram Sarkar at Jadavpur University.

Research Interests

I work at the intersection of Computer Vision and Biometrics, developing models and methods to prevent the misuse of personal data in identity-aware applications. Broadly, I am interested in building AI systems that are secure, efficient, and applicable in real-world scenarios rather than remaining confined to code and conferences without practical application.

Previously, I focused on calibrating Medical Vision-Language Models (Med-VLMs) to improve the trustworthiness of their confidence estimates and ensure safer deployment in high-stakes domains such as healthcare.

News

• [Sep. 2025] Conferred the UAE Golden Visa (10-Year Residency), a prestigious national recognition for outstanding graduates of accredited UAE universities, awarded for academic excellence and future potential.
• [Sep. 2025] Secured a $4,500 (USD) travel grant to attend and present at the British Machine Vision Conference (BMVC 2025) in Sheffield, UK.
• [Aug. 2025] Selected for the CISPA–ELLIS Summer School 2025 in Saarbrücken, Germany, on Trustworthy AI, Secure and Safe Foundation Models. Presented Master’s thesis work; awarded a €1,000 travel grant to attend.
• [Jul. 2025] Our paper “Calibration-Aware Prompt Learning for Medical Vision-Language Models” got accepted to BMVC 2025 (British Machine Vision Conference).
• [Apr. 2025] Awarded the Best Poster Award at the MBZUAI Research Symposium 2025, recognizing my Master’s thesis research, among 50+ PhD & MSc submissions across the ML, CV, NLP, and Robotics departments.
• [Apr. 2025] Successfully defended Master’s thesis: “Calibration-Aware Prompt Learning for Medical Vision-Language Models.”
• [Nov. 2024] Won 2nd Place in the AI-driven Drug Discovery Hackathon organized by Insilico Medicine in Abu Dhabi.
• [Jul. 2024] Our paper “XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays” got accepted to Machine Learning for Healthcare 2024.
• [Mar. 2024] Our paper “MENet: A Mitscherlich Function-Based Ensemble of CNN Models to Classify Lung Cancer Using CT Scans” got accepted to PLOS One.
• [Nov. 2023] Our paper “Lung Cancer Detection from Thoracic CT Scans Using an Ensemble of Deep Learning Models” got accepted to Neural Computing and Applications (Springer).
• [Aug. 2023] Began Master of Science in Computer Vision at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI); awarded a fully funded scholarship valued at ~$150,000 (USD).
• [Jun. 2023] Completed research internship under Prof. Ram Sarkar at Jadavpur University; co-authored four papers on lung cancer diagnosis with medical imaging.
• [May. 2023] Graduated with a B.Tech. in Computer Science and Engineering from the National Institute of Technology Durgapur, India with First Class with Distinction.
• [Apr. 2023] B.Tech. thesis recognized as one of the Top 2 projects out of 184 submissions in the Computer Science and Engineering Department (Class of 2019–2023).
• [Oct. 2022] Our paper “An Ensemble of UNet Frameworks for Lung Nodule Segmentation” got accepted to the International Conference on Actual Problems in Applied Mathematics and Computer Science 2022 (Oral Presentation), Stavropol, Russia.
• [Aug. 2022] Began research internship at the CMATER Lab, Jadavpur University (Remote).
• [Aug. 2022] Completed research internship at Samsung R&D Institute India-Bangalore, Knox AI Lab (Remote).
• [Jan. 2022] Selected as 1 of 4 students (out of 184) for the PRISM Internship at Samsung R&D Institute India-Bangalore, Knox AI Lab.
• [Jul. 2022] Among the Top 2% of applicants selected for the Google ML Bootcamp (India).
• [Jul. 2019] Commenced B.Tech. in Computer Science and Engineering at the National Institute of Technology Durgapur, India.
• [Feb. 2018] Secured 3rd Place (Senior Category, A Division) in the Sastra Pratibha Contest 2017.
• [Jan. 2016] Awarded a Certificate of Distinction in Mathematics in the 19th All India Mathematics and Science Olympiad.

Publications

Academic Services

Conference Reviewing

Teaching Assistant

• Mathematical Foundations of Artificial Intelligence (MTH701) course - Fall 2024 with Prof. Karthik Nandakumar,and Prof. Mingming Gong
• Probabilistic and Statistical Inference (ML703) course - Spring 2025 with Prof. Tongliang Liu, Prof. Mingming Gong,and Prof. Maxim Panov

Conference Volunteering

• Program Volunteer - IEEE International Conference on Data Mining (ICDM), Abu Dhabi
• Program Volunteer - The 31st International Conference on Computational Linguistics (COLING), Abu Dhabi