About Me

I am a Research Associate at Mohamed Bin Zayed University of Artificial Intelligence, affiliated with the SPriNT-AI lab and the CERT Lab, where I am advised by Dr. Karthik Nandakumar and Dr. Praneeth Vepakomma, I am also fortunate to have a close collaboration with Fahad Shamshad.

I have recently obtained my Masters degree in Computer Vision from Mohamed Bin Zayed University of Artificial Intelligence under the supervision of Dr. Muhammad Haris Khan and Dr. Karthik Nandakumar, prior to that I pursued my undergraduate degree in Computer Science and Engineering at the National Institute of Technology Durgapur. I have also worked as a reseach intern with Professor Ram Sarkar at Jadavpur University.

Research Interests

I am interested in the safety, efficiency, and trustworthiness of AI models, particularly Vision-Language Models (VLMs). My current work focuses on calibrating Vision-Language Models to ensure their predictions strike a proper balance between accuracy and confidence, making them more reliable and applicable in real-world scenarios rather than remaining confined to code and conferences without practical application.

News

• [April. 2025] Won Best Poster Presentation Award at MBZUAI Research Symposium 2025 among 50+ PhD & MSc submissions from ML, CV, NLP and Robotics departments, based on my master’s thesis work.
• [April. 2025] Defended my Master’s thesis titled “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 at 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 at PLOS One.
• [Nov. 2023] Our paper “Lung Cancer Detection from Thoracic CT Scans using an Ensemble of Deep Learning Models.” got accepted at Neural Computing and Applications, Springer.
• [Aug 2023] Commenced Master of Science in Computer Vision at Mohamed Bin Zayed University of Artificial Intelligence and awarded a Fully funded master’s scholarship valued at ~150,000 USD.
• [June 2023] Our paper “An Ensemble of UNet Frameworks for Lung Nodule Segmentation.” was published in the book series Current Problems in Applied Mathematics and Computer Science and Systems
• [June 2023] Concluded Research Internship under Prof. Ram Sarkar at Jadavpur University, co-authored four papers on lung cancer diagnosis and treatment.
• [May 2023] I completed my undergraduate studies in Computer Science and Engineering from the National Institute of Technology Durgapur, India with First Class with Distinction.
• [Apr 2023] My BTech Thesis was recognized as one of the Top 2 projects out of 184 submissions in the Computer Science and Engineering department. (Class of 19-23)
• [Oct. 2022] Our paper “An Ensemble of UNet Frameworks for Lung Nodule Segmentation.” got accepted at International Conference on Actual Problems In Applied Mathematics and Computer Science 2022 at Stavropol, Russia for Oral Presentation.
• [Aug. 2022] Started Research Internship at CMATER lab at 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 the 4 students from a department of 184 as PRISM Intern at Samsung R&D Institute India-Bangalore, Knox AI Lab.
• [Jul. 2022] Among the top 2% of applicants selected for the Google ML Bootcamp across India.
• [Jul. 2019] Commenced Bachelor of Technology in Computer Science and Engineering at the National Institute of Technology Durgapur, India
• [Feb. 2018] Secured the Third position ‘A’ in the Senior category of ‘Sastra Pratibha Contest 2017’.
• [Jan. 2016] Awarded ‘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