Research

Paragon Research and Innovation (PRI)

This research group is led by Sangita Pokhrel with Dr Sahar Ahmadzadeh as co-lead.

Paragon Research and Innovation (PRI) brings together group of researchers in the fields of Generative AI (Gen AI), artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), cybersecurity, data science, and related fields.

The main goal of PRI is to encourage research activities from computer science and data science in York St John University. The second goal of PRI is to establish 'win-win' collaboration with industries and other University colleagues. We also welcome researchers from other relevant fields to foster strong collaborative research.

PRI will promote creative research pedagogy, collaboration, open and friendly research culture within the group. Regular study sessions, group chats and brainstorming sessions will be held to stimulate new ideas, innovative thinking and creative thoughts on how to advance the research capabilities of group members.

PRI will continue to explore new methodologies and collaborations in the field of computer science and data science research to incubate impactful research outputs that can benefit York St John University and the wider research community.

Our main areas of research interest include but are not limited to:

Gen AI and Ethics
IoT-Enabled solutions
Cyber Security and Networks
Machine Learning for medical data
Digital Transformation
Blockchain Applications
AI-Driven Risk Management Systems
Integration of AI in Commercial System
Ethical AI Education and Awareness

Get in touch

We welcome prospective PhD students, Masters by research or taught program students, and other York St John University colleagues who are interested in conducting research projects on various topics of interest. PRI will support your research topics via a collaborative project structure and will also link up with industrial partners.

Join us today and be a part of this dynamic research community dedicated to driving positive change through innovation. For more information or to express your interest, please contact Sangita Pokhrel (s.pokhrel@yorksj.ac.uk). Feel free to reach out to us also by filling out the form below.

Get in touch with us (Microsoft Form)

Research activity

SAAR Projects

Traffic signals object detection with YOLOv8 and deep learning models

Supervisor: Sangita Pokhrel
SAAR: Smita Ghimire (MSc Data Science Student)

ChatGPT Educational Revolution

Supervisor: Swathi Ganesan
SAAR: Amna Aqwar (MSc Computer Science Student)

QR Project

Title: Disease Prediction Using Machine Learning and Neural Networks

Principal Investigator: Swathi Ganesan
Co-Investigators: Dr Nalinda Somasiri, Dr Soonleh Ling, Sangita Pokhrel, Lakmali Karunarathne
Research Assistant: Dharshika Singarathnam

Some of the SAAR projects that have been completed are:

Understanding the behaviors and detecting the mental health symptoms among international students in the UK using Machine Learning Algorithms.
Enhancing CNN Models with Data Augmentation for Accurate Fertilizer Deficiencies and Diseases Identification in Paddy Crops.
Histopathology Image Augmentation Using Generative Adversarial Network (GAN) Models for Breast Cancer Diagnostics.
Tutorhand: Automated Feedback System for Early Detection of Mental Health Issues in Young adults Using Deep Learning Approaches and so on.
Fake News Detection of a Realistic Social Media Platform using Machine Learning/Deep Learning Algorithms.