AI · Computer Vision · Research

Building intelligent systems through visual reasoning and graph-based learning.

Assistant Professor and AI Researcher specializing in Computer Vision, Scene Graph Generation, Graph Neural Networks, Vision Transformers, and Deep Learning. Doctoral research at Vellore Institute of Technology focuses on graph-based visual reasoning and multimodal scene understanding.

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Ph.D. Computer Vision · VIT
6 Published Patents
5+ Journal & Conference Works
7 Core Courses Taught
02

Research Interests

Computer Vision Scene Graph Generation Graph Neural Networks Vision Transformers Deep Learning Visual Relationship Detection Vision-Language Models Multimodal Learning Explainable AI
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Current Research

Selected ongoing, conceptual and future research directions.

Ongoing

Dynamic Scene Graph Intelligence for Proactive Vehicle Safety

Exploring dynamic scene understanding and graph-based intelligence for proactive vehicle safety applications.

Concept Development

Space Scene Graph Intelligence for Autonomous Planetary Exploration

Investigating scene graph intelligence for visual reasoning in autonomous planetary exploration.

Future Idea

AI-Driven Knowledge Discovery from Boogar's Literature

Future research direction focused on AI-assisted knowledge discovery from literature.

Research Focus

Graph-Based Visual Reasoning

Developing graph and transformer-based approaches for visual relationships and multimodal scene understanding.

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Academic Experience

AUG 2025 — JUL 2026

Assistant Professor (Junior)

Vellore Institute of Technology (VIT), Vellore
  • Teach undergraduate and postgraduate courses in AI, Machine Learning, Computer Vision, Predictive Data Analytics, Financial Data Analytics, Python Programming, and Design & Analysis of Algorithms.
  • Mentor students in academic projects and research activities.
  • Conduct research in Scene Graph Generation, Graph Neural Networks, Vision Transformers, and Deep Learning.
  • Publish research articles and review manuscripts for international journals.
  • Contribute to curriculum development, outcome-based education, and academic assessment.
AUG 2022 — JUL 2025

Research Scholar

Vellore Institute of Technology (VIT), Vellore
  • Conducted doctoral research in Computer Vision and Graph Learning.
  • Developed transformer-based architectures for Scene Graph Generation and visual relationship prediction.
  • Designed graph-based reasoning frameworks for intelligent scene understanding.
  • Published research articles and filed Indian patents in AI and Computer Vision.
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Education

Doctor of Philosophy (Ph.D.)
Vellore Institute of Technology, Vellore
Research Area: Computer Vision, Scene Graph Generation & Graph Learning
PURSUING · EXPECTED 2026
Master of Engineering (M.E.)
Computer Science — Specialization: Big Data Analytics
College of Engineering Guindy, Anna University, Chennai
2019 — 2021
Bachelor of Technology (B.Tech.)
Information Technology
Hindustan Institute of Technology and Science, Chennai
2015 — 2019
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Selected Publications

01
CONFERENCE · IEEE SCSE 2026

MATAN: Mixed Attention-Based Transformer Network with Visformer Features for Visual Relationship Modeling

Monesh, S., & Senthilkumar, N. C. · University of Kelaniya, Sri Lanka

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JOURNAL · IEEE ACCESS · 2025

BiFormer for Scene Graph Generation Based on VisionNet with Taylor Hiking Optimization Algorithm

Monesh, S., & Senthilkumar, N. C.

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JOURNAL · 2024

Review on Scene Graph Generation Methods

Senthilkumar, N. C., & Monesh, S. · Multiagent and Grid Systems, 20(2), 2024.

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JOURNAL · 2021

Visual Relationship Prediction and Scene Graph Generation using Bi-GRU

Monesh, S. · International Journal for Advanced Research, Ideas and Innovations in Technology (IJARIIT), 2021.

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CONFERENCE · 2019

Digitized Bus Ticketing Framework

Sharmila, V. C., Monesh, S., Aayush, R., Karesh, G., & Ibrahim, I. · 1st International Conference on Innovations in Information and Communication Technology, 2019.

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Published Patents

  • Privacy-Preserving Distributed Surveillance System for Real-Time Suspicious Activity Detection Using Scene Graphs and Federated Learning (2026)
  • Physics-Constrained Spatio-Temporal Scene Graph Validator for Video Authenticity Detection (2026)
  • AI-Powered Smart Eyeglass Generates Scene Graph Knowledge for Clinical Surveillance (2025)
  • AI-Powered Smartwatch for Food Intake Monitoring and Recommender System (2024)
  • AI-Powered Tire Pressure Monitoring System for Heavy Vehicles (2024)
  • Deep Learning-Based Automated Cow Distraction Device from Plastic Materials (2022)
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Research & Technical Projects

Computer Vision · Graph Learning

Scene Graph Generation and Relationship Modeling with Bi-GRU

Research implementation for visual relationship prediction and scene graph generation.


View Repository →
Zero-Shot Learning · Video

Transductive Zero-Shot Learning for Video Tag Prediction

Research project focused on multi-label video prediction using zero-shot learning.


View Repository →
Application Development

Centralised Mobile App for Passenger Ticket Generation

Centralised mobile application concept for passenger ticket generation.

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Technical Skills

Programming

Python C C++ Java

AI & Research Domains

Machine Learning Deep Learning Computer Vision SGG GNN Vision Transformers Explainable AI

Frameworks & Libraries

TensorFlow PyTorch Keras OpenCV Scikit-learn

Research Tools

LaTeX Jupyter Notebook Google Colab
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Awards & Honors

  • Raman Research Award (2025)
    For publishing research in an SCI-indexed journal.
  • Dr. A.P.J. Abdul Kalam Award (2024)
    For publishing a review article in a Scopus-indexed journal.
  • IEEE SCSE 2026 Presentation
    Presented MATAN at the University of Kelaniya, Sri Lanka.
  • Professional Membership
    IEEE Member.
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Professional Development & Certifications

Faculty Development Programs

  • Comprehensive Hands-on Sessions on Computer Vision and Artificial Intelligence Towards Applied Research — TLCE, VIT.
  • Deep Learning Architecture Concepts and GAN with Deepfake Techniques — Academic Staff College, VIT.
  • Digital Twin and Deep Learning — AI-Driven Approaches for Smart Factories — Academic Staff College, VIT.
  • Application of Optimization Techniques in Engineering — Academic Staff College, VIT.
  • Research Opportunities after Ph.D. — Academic Staff College, VIT.

Certifications

  • NPTEL — Computer Vision, IIT Kharagpur.
  • Google Cloud — Data Engineering, Big Data and Machine Learning on Google Cloud Platform Specialization.
  • Google Cloud — Feature Engineering on Google Cloud Platform.

Courses Taught

Artificial Intelligence Machine Learning Computer Vision Predictive Data Analytics Financial Data Analytics Algorithms Python Programming