About

I am a PhD scholar in Artificial Intelligence at the Indian Institute of Technology, Palakkad, advised by Dr. Sahely Bhadra. My research develops trustworthy computer-vision systems, with a focus on deepfake and face-forgery detection and explainable AI — models that can identify manipulated media and justify where and why a decision was made.

I am also active in academic service and mentoring through the Research Affairs Council at IIT Palakkad, the IEEE, and the National Service Scheme.

I am broadly interested in bridging rigorous research and reliable engineering. I welcome conversations about research collaborations and mentoring.

Research Interests

  • Deepfake & face-forgery detection
  • Explainable & interpretable AI
  • Computer vision & deep learning
  • Generative models (GANs)
  • Attention mechanisms
  • Generalizable / robust models

Skills

Programming
Python · C/C++
Frameworks
PyTorch · TensorFlow · Keras
Methods
Deep Learning · Computer Vision · Explainable AI · GANs · CNNs · Attention Models · Image Classification
Tools
Git · Linux · Docker · Singularity · Slurm · OpenCV

Publications

  1. V. B. Raj and K. Hareesh, “Review on Generative Adversarial Networks,” 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 0479–0482. IEEE Xplore ↗  ·  doi:10.1109/ICCSP48568.2020.9182058

Research & Projects

Marine Acoustics · Edge AI
Intelligent Buoys for Marine Acoustic Monitoring
An in-situ passive-acoustic sensor network on Sony Spresense edge devices to monitor ocean noise pollution and its impact on marine habitats — a CUSAT × Sony Sensing Solutions University Program (SSUP) India collaboration, using TensorFlow Lite for microcontrollers and deep neural networks for on-device acoustic analysis.
Project page ↗
Medical Imaging
COVID-19 Detection from Chest X-Rays
A ResNet-18 classifier distinguishing Normal, Viral Pneumonia, and COVID-19 chest X-rays (developed for educational use).
Code ↗
Computer Vision
Social Distancing Analyzer & Real-time Mask Detection
Surveillance-based computer-vision tools for monitoring public-health protocol adherence, optimized for CPU deployment.
Social Distancing ↗Mask Detection ↗

Additional code and experiments are available on my GitHub profile.

Education

2022 – Present
Ph.D., Artificial Intelligence
Indian Institute of Technology, Palakkad · Advisor: Dr. Sahely Bhadra
2018 – 2020
M.Tech, Signal Processing & Embedded Systems
Government Engineering College, Kannur, Kerala

Research Experience

2021
Junior Research Fellow
Cochin University of Science and Technology (CUSAT) · Sony SSUP “Intelligent Buoys” project

Teaching

Teaching Assistant at the Indian Institute of Technology, Palakkad:

Jan – Jul 2025
Deep Learning
Teaching Assistant
Aug – Dec 2024
Machine Learning
Teaching Assistant
Jan – Jul 2024
Database Management Systems
Teaching Assistant
Aug – Dec 2023
Machine Learning
Teaching Assistant
Jan – Jul 2023
Deep Learning
Teaching Assistant

Workshops & training delivered as instructor:

IIT Bombay
Deep Learning using Python
Instructor
NIT Calicut
Image Processing using Python
Instructor
NIT Calicut
Image Processing using MATLAB
Instructor
NIT Calicut
Ethical Hacking & Cybersecurity
Instructor

Volunteering

2024 – 2025
Research Affairs Council — Technical Affairs
IIT Palakkad
2014 – 2022
IEEE Student Branch, CEK
Chairman (2015–16) · Vice Chairman (2014–15) · Volunteer
2014 – 2025
Volunteer
National Service Scheme (NSS)

Contact

The best way to reach me is by email at 142204003@smail.iitpkd.ac.in. I am open to research collaborations and mentoring in applied AI and computer vision.