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

Selected 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.