Subhrajit Dey

hover over me @ nyu.edu

New York University

Biography

I am a Master’s student in Computer Science at New York University Tandon School of Engineering, specializing in Neuroinformatics. I am currently working as a Research Assistant under Prof. Erdem Varol in the NYU Neuroinformatics Lab, focusing on multimodal neural data translation models. My research interests include building foundational models in computational neuroscience and exploring representational alignment between the brain and large world models. I have also served as a Course Assistant at NYU Stern for Consulting Capstone, Corporate Finance, and Foundations of Corporate Finance during Summer 2025, where in addition to my TA responsibilities I have also developed a CRE loan-financing workflow using multi-LLM-based agents under Prof. Anthony Marciano’s guidance.

Prior to my graduate studies, I worked as a Computer Vision Engineer at Bigvision.ai where I developed state-of-the-art computer vision end to end solutions for retail and e-commerce applications. I graduated from Jadavpur University with a Bachelor's degree (with Honours) in Electrical Engineering and also publsihed papers related to medical imaging and computer vision.

Research

I am interetsted in working on foundatioanl models for neural data mainly focusing on the multimodality aspect of it. I am also interested in representational alignemnt between human brain and large world models. Before I have worked on Computer Vision, Machine Learning, Large Language Models (LLMs), Neuroinformatics, and Medical Image Analysis. Some recent representative papers can be found below. Other publications can be found on my Google Scholar profile.

NYU BigVision ETS Montreal Jadavpur

Updates

[May 2025] Started my second year of MS in Computer Science at NYU Tandon with a perfect 4.0 GPA! 🔥
[Spring 2025] Started working as a Research Assistant in NYU Neuroinformatics Lab working on multimodal neural data translation models with Prof. Erdem Varol.
[Spring 2025] Served as a Course Assistant for Consulting Capstone, Foundations of Corporate Finance, and Corporate Finance at NYU Stern.
[Sep 2024] Started my Master's journey at NYU Tandon School of Engineering! Excited to dive deep into AI research.
[June 2024] Completed 2 years as Computer Vision Engineer at Bigvision.ai
[Dec 2022] Published "Cross-Lingual Sentiment Analysis using Transliteration and Character Embedding" at ICON-2022, ACL! [Paper]
[Jan 2022] Published "Optimized Fuzzy Ensemble of CNNs for TB Detection" in Applied Soft Computing, Elsevier! [Paper] - 45 citations and counting!
[Sep 2021] Completed Mitacs Globalink Research Internship at ÉTS Montreal, developing 360StereoNet for depth estimation.
[June 2022] Graduated from Jadavpur University with B.E. (Hons.) in Electrical Engineering with 8.78/10.0 GPA.

Selected Publications

2022

Breast Cancer Thermogram
  • Screening of Breast Cancer from Thermogram Images by Edge Detection Aided Deep Transfer Learning Model
    S Dey, R Roychoudhury, S Malakar, R Sarkar
    Springer 2022, Multimedia Tools and Applications

    Link

  • Cross-lingual sentiment analysis
  • A Novel Approach towards Cross Lingual Sentiment Analysis using Transliteration and Character Embedding
    S Dey, R Roychoudhury, M Akhtar, A Das, S Naskar
    ICON 2022, Association for Computational Linguistics

    Link PDF

  • TB Detection
  • An Optimized Fuzzy Ensemble of Convolutional Neural Networks for Detecting Tuberculosis from Chest X-ray Images
    S Dey, R Roychoudhury, S Malakar, R Sarkar
    Applied Soft Computing, Elsevier, 2022

    Link

  • CovidConvLSTM
  • CovidConvLSTM: A Fuzzy Ensemble Model for COVID-19 Detection from Chest X-rays
    S Dey, R Bhattacharya, S Malakar, F Schwenker, R Sarkar
    Expert Systems with Applications, Elsevier, 2022

    Link

  • TOPSIS Ensemble
  • TOPSIS Aided Ensemble of CNN Models for Screening COVID-19 in Chest X-ray Images
    R Pramanik, S Dey, S Malakar, S Mirjalili, R Sarkar
    Scientific Reports, Nature, 2022

    Link

  • 2021

    Choquet Fuzzy
  • Choquet Fuzzy Integral-Based Classifier Ensemble Technique for COVID-19 Detection
    S Dey, R Bhattacharya, S Malakar, S Mirjalili, R Sarkar
    Computers in Biology and Medicine, Elsevier, 2021

    Link

  • Median Filter CNN
  • Median Filter Aided CNN Based Image Denoising: An Ensemble Approach
    S Dey, R Bhattacharya, F Schwenker, R Sarkar
    Algorithms, MDPI, 2021

    Link

  • 2020

    Median Filter Gaussian
  • Median Filter Aided CNN Model for Removal of Gaussian Noise from Images
    S Dey, R Bhattacharya, R Sarkar
    IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2020

    Link

  • Other

    SketchCleanNet
  • SketchCleanNet—A Deep Learning Approach to the Enhancement and Correction of Query Sketches for a 3D CAD Model Retrieval System
    B Manda, PP Kendre, S Dey, R Muthuganapathy
    Computers & Graphics, Elsevier, 2022

    Link