Scholar
Abhishek Jha
Google Scholar ID: WRgEMHcAAAAJ
New York University
Citations & Impact
Citations
14
H-index
3
i10-index
0
Publications
7
Co-authors
7
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms (with Rohan Chandra et al.)
- Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation (with Vrushabh Zinage et al.), published in ICRA 2025
- PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images, published in Engineering Applications of Artificial Intelligence
- Enhancing ASD Diagnosis with Contrastive and Non-Contrastive Models from Neuroimaging Data (with Ishita Mehta et al.), published in ICMNWC 2024
- Strategic Pseudo-Goal Perturbation for Deadlock-Free Multi-Agent Navigation in Social Mini-Games (with Tanishq Gupta et al.), published in ICCRE 2024
- Diagnosis support model for Autism spectrum disorder using Neuroimaging data and Xception (with Kainat Khan et al.), published in ELEXCOM 2023
- Real Time Analysis of Material Removal Rate and Surface Roughness for Turning of Al-6061 using ANN and GA (with Baibhav Kumar et al.), published in IJRESM 2022
Research Experience
- Research interests include multi-agent coordination, control, vision, LLMs, and chain-of-thought reasoning. Studying how to turn perception into verifiable action and create agents that plan step by step, justify decisions, honor safety constraints, and scale to crowded, partially observed environments in both software and robotics.
Education
- Bachelor's degree from Delhi Technological University; currently a graduate student in Computer Science at New York University, Courant.
Background
- A computer science graduate student with interests spanning machine learning, computer vision, robotics, and large language models, focusing on chain-of-thought reasoning and building reliable, interpretable decision-making systems.
