CV

My full curriculum vitae, including education, research experience, publications, and academic service.

Contact Information

Name Alloy Das
Professional Title PhD Student in Computer Science
Email alloyuit@gmail.com
Location Ames, Iowa

Professional Summary

PhD student at Iowa State University researching computer vision, multi-modal representation learning, and agricultural AI. Previously a Research Assistant at Indian Statistical Institute, Kolkata. Author of 16+ peer-reviewed papers at venues including WACV, ICRA, ICPR, and ICDAR.

Experience

  • 2024 - present

    Ames, Iowa, USA

    PhD Research Assistant
    SCSLab, Iowa State University
    • EmbodiedMAE — multi-modal masked autoencoder for 3D Sorghum plant reconstruction from RGB, depth, and point cloud data
    • Lighting-aware instance segmentation — custom Lighting Convolutional Attention (LCA) module extending SAM
  • 2021 - 2024

    Kolkata, India

    Research Assistant
    Computer Vision & Pattern Recognition Unit (CVPRU), ISI Kolkata
    • Advisor: Prof. Umapada Pal
    • Published at WACV 2024, WACV 2025, ICRA 2024, ICPR 2024 on scene text spotting, recognition, and editing
    • Developed FastTextSpotter, FASTER (font-agnostic text editing), and multilingual text spotting systems

Education

  • 2024 - present

    Ames, Iowa, USA

    PhD
    Iowa State University
    Mechanical Engineering (Computer Vision / AI)
    • Advisor: Prof. Soumik Sarkar (SCSLab)
    • Research focus: Multi-modal plant phenotyping, lighting-robust instance segmentation
  • 2017 - 2021

    Kolkata, India

    B.Tech
    University of Engineering & Management, Kolkata
    Electronics & Communication Engineering
    • Graduated with distinction

Awards

  • 2024
    Peer Reviewer
    The Visual Computer (Springer)

    Invited reviewer for Springer’s journal on computer graphics and vision.

Skills

Computer Vision (Expert): Object Detection, Instance Segmentation, Scene Text Spotting, 3D Reconstruction
Deep Learning (Expert): PyTorch, Transformers, Masked Autoencoders, SAM, CLIP
Multi-modal Learning (Advanced): RGB-D, Point Clouds, Vision-Language Models, Contrastive Learning
Agricultural AI (Intermediate): Plant Phenotyping, Sorghum, Remote Sensing, Precision Agriculture

Languages

English : Fluent
Bengali : Native speaker
Hindi : Conversational

Interests

Research: Computer Vision, Representation Learning, Agricultural AI, Document AI
Open Source: PyTorch, Hugging Face, Jekyll