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.
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.
Group members
Sangita Pokhrel
Group Leader, Lecturer
Dr Sahar Ahmadzadeh
Group co-leader, Lecturer
Dr Soonleh Ling
Research Lead and Senior Lecturer
Dr Nalinda Somasiri
Associate Dean
Dr Rebecca Balasundaram
Lecturer
Swathi Ganesan
Deputy Associate Dean and Senior Lecturer
Dr Gayathri Karthick
Lecturer
Lakmali Karunarathne
Lecturer
Anu Bala
Lecturer