Researcher in LLM Reasoning • AGI Explainability • Trustworthy ML • Deep Learning

University of Maryland, College Park (USA)
📧 govind123.ga@gmail.com
🌐 ORCID: https://orcid.org/0009-0002-2573-4003 • Google Scholar • LinkedIn

This GitHub account represents a rebuild after permanent loss of my original profile.
All ongoing research, publications, and future releases now continue here, my previosu account is:

🔁 https://github.com/GOVINDFROMINDIA

My work aims to build transparent, verifiable, and trustworthy AI systems that move beyond shallow pattern-matching toward robust reasoning and interpretable AGI.

Core themes:

• LLM Reasoning & Cognitive Modeling
  Chain-of-thought behavior • multi-step logical inference • reasoning trace faithfulness

• AGI Explainability & Safety
  Mechanistic interpretability of transformers • attribution & attention analysis • guardrails and safety policies

• Trustworthy Machine Learning
  Bias and robustness under distribution shift • federated and decentralized trust modeling • uncertainty and calibration

• Deep Learning Systems
  Multimodal architectures • graph-based reasoning • responsible deployment of generative and agentic models

• Arun, G., Syam, R., Nair, A. A., & Vaidya, S. (2025).
  An integrated framework for ethical healthcare chatbots using LangChain and NeMo guardrails.
  AI and Ethics (Springer).
  🔗 https://link.springer.com/article/10.1007/s43681-025-00696-7

• Govind A., Dubey C. P., & Ray J. (2025).
  Multimodal Deep Learning Based Prediction of Volumetric Deformation of Barren Island using InSAR Interferograms.
  To appear in Geophysical Research Letters (AGU). Preprint at ESS Open Archive.
  🔗 https://essopenarchive.org/users/715598/articles/1269211-multimodal-deep-learning-based-prediction-of-volumetric-deformation-of-barren-island-using-insar-inferrograms?commit=445799b317cf3a5bee3620308199ddeaccafe0d5

• Govind, Arun, Gadha Lekshmi P. J., & Manu Govind.
  Chain of Thought (CoT) Modeling for Interpretable and Explainable Decision Making in Chess.
  IEEE Transactions on Games — In Press.
  🔗 (link forthcoming)

• Govind, A., Gadha Lekshmi P., Ajo Babu George, Tummala V. M. R., & Hazra A.
  FedDPI-SH: A Quality and Similarity Aware Federated Learning Framework for Medical Image Analysis.
  IEEE Journal of Biomedical and Health Informatics — In Press.
  🔗 (link forthcoming)

• Devika, S. G., Govind A., & Lekshmi D. (2024).
  Next-Generation Traffic Control: Adaptive Timer and Emergency Vehicle Priority in Intelligent Traffic Management.
  2024 International Conference on E-Mobility, Power Control and Smart Systems (ICEMPS). IEEE.
  🔗 https://ieeexplore.ieee.org/document/10559373

• Govind A., Ahad Anzar, Aiswarya Anil Nair, & Rohith Syam (2024).
  GenAI Empowered Script to Storyboard Generator.
  2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), pp. 451–456.
  🔗 https://doi.org/10.1109/FMLDS63805.2024.00085

• Govind A., Lekshmi D., & Devika S. G. (2024).
  From Chaos to Clarity: Leveraging Satellite Imagery and Deep Learning for Emergency Response in War-Torn & Disaster-Stricken Areas.
  International Conference on Advances in Aerospace and Energy Systems (IAES-2024, ISRO).
  Conference version (PDF):
  🔗 https://www.techrxiv.org/doi/full/10.36227/techrxiv.173948977.78445780

• Syam, R., Govind A., & Surendran S. (2025).
  Graph Neural Network and Natural Language Processing Integrated Methodology for Unmasking Scam Propagation in Social Network.
  2025 International Conference on Innovative Trends in Information Technology (ICITIIT). IEEE.
  🔗 https://ieeexplore.ieee.org/document/11041467

• Bathini, S., Govind A., & Ajo Babu George (2025).
  Grad-CAM Driven Deep Learning for Explainable Radiographic Oral Squamous Cell Carcinoma Detection.
  2025 IEEE International Conference on Sensors and Related Networks (SENNET) – Special Focus on Digital Healthcare.
  🔗 https://doi.org/10.1109/SENNET64220.2025.11136014

• 🏅 Lance Stafford Larson Award — IEEE Computer Society (2024)
  Best Undergraduate Research contribution in Computer Science.

• 🥇 First Place — MICCAI 2025 STSR Challenge
  Rigid registration of CBCT–STL pairs using PointNet-based models.

• 🥉 Bronze Award — IEEE Industrial Electronics Society (2024)
  For the project “GenAI Empowered Script to Storyboard Generator” at the IEEE IES Generative AI Hackathon.

• 🏆 Best Final Year B.Tech Project (2024)
  Recognized as the top undergraduate thesis.

• 🏆 Best Student Research Paper (AI Robotics) — IEEE R10 Asia-Pacific (2023)
  For work on adaptive traffic control with emergency vehicle priority.

• 🌟 Advik Award — Computer Society of India (2023)
  For notable open-source contributions.

• 🏅 Ruchi Sharma Award (2021)
  Department topper with a perfect GPA (10/10) in first semester.

• Peer Reviewer — Advanced Engineering Informatics (Elsevier), 2024.

📧 Email: govind123.ga@gmail.com
🔗 ORCID: https://orcid.org/0009-0002-2573-4003
📚 Google Scholar: (search “Govind Arun” with ORCID above)
💼 LinkedIn: linkedin.com/in/govind-arun-423427149/

“Building reasoning machines begins with building machines that can be trusted.”