Scholar
Aravind Narayanan
Google Scholar ID: KCVuy2UAAAAJ
Associate Applied ML Specialist, Vector Institute || Master's Student, University of Toronto
Citations & Impact
Citations
22
H-index
2
i10-index
1
Publications
5
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- 1. Paper 'VLDBench: A Benchmark for Disinformation Detection in Vision-Language Models' under review for ACL 2025
- 2. Recognized on the Dean’s and Merit List
- 3. Held leadership roles in student initiatives, including the Entrepreneurship Cell and Robotics Club at IIIT Hyderabad
Research Experience
- 1. Applied ML Intern at the Vector Institute (since Jan 2025) - Developed VLDBench, a benchmark for evaluating disinformation detection in Vision-Language Models
- 2. Computer Vision Intern at the Neural Robotics Lab (since Apr 2024) - Created a pipeline for monocular depth estimation to reconstruct 3D scenes
- 3. Research Assistant at the Laboratory for Applied Informatics Research (since May 2024) - Contributing to ML-driven news clustering
- 4. Python Developer at the Bernhardt-Walther Lab - Developed pyMLV, a tool for analyzing multivoxel pattern data, advancing research on mid-level visual representations
Education
- 1. Bachelor's degree in Electronics and Communication Engineering from IIIT Hyderabad
- 2. Master of Engineering in Electrical and Computer Engineering at the University of Toronto, specializing in Data Analytics and Machine Learning
Background
- Master of Engineering student in Electrical and Computer Engineering at the University of Toronto, specializing in Data Analytics and Machine Learning. I have a deep passion for computer vision, robotics, and deep learning.
Miscellany
- 1. Proficient in Python, C++, MATLAB, and SQL, with expertise in PyTorch, TensorFlow, and cloud platforms like GCP and AWS
- 2. Passionate about using AI to solve real-world challenges
- 3. Constantly exploring new frontiers at the intersection of technology and society
