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

Investigating the Influence of Socioeconomic Factors on Student Performance

Project Lead: Dr Anu Bala
Co - Lead: Dr Gayathri Karthick, Sangita Pokhrel

Database Optimization for Real-Time Analytics in Big Data Environments

Project Lead: Lakmali Karunarathne
Project Co-Leads: Swathi Ganesan, Nalinda Somasiri
Research assistant: Kavindu Karunarathna

Objective:
The objective of this project is to optimize database systems to enhance performance and scalability for real-time analytics in big data environments. This involves improving schema design, indexing, caching mechanisms, and integrating real-time processing frameworks.

Cross School Collaboration

This project proposes using machine learning to analyze country-level under-five mortality differentials in LMICs, aiming to predict future trends and assess progress toward achieving SDG 3.2. By identifying key predictors and forecasting mortality rates, it offers data-driven insights for targeted interventions.

Project Lead: Sangita Pokhrel

Co-leads: Obasanjo Bolarinwa, Swathi Ganesan, Rebecca Tadokera, Ritika Tiwari, Nalinda Somasiriand Amir Keshtiban

Beyond the Classroom: An Event on Research and Industry Insights

Thursday 13 June 2024

York St John University London Campus

Paragon Research and Innovation Group hosted a successful research event in collaboration with the keynote speakers from NSBM Green University - Sri Lanka, Middlesex University - UK, and IBM, UK where the speakers from different research backgrounds provided valuable insights to our students encouraging them in research, idea generation, and industry discussions. We have provided the opportunity to collaborate in research for both academics and students with other inter(national) universities and researchers. We also had networking opportunities and provided certificates.

Four of our MSc Computer Science and MSc Data Science students from the London Campus presented their impressive research work.

David Bajulaiye - Optimising Facebook AD Campaigns Using Random Forest Regression (RFR): Insights and Predictions.
Manoj Thapa - Analysis of facial recognition using AI & ML.
Emmanuel Anthony - An Effective Method for Mitigating Phishing Attacks in Web Environments.
Smita Ghimire - Implementing Deep Learning Techniques: Utilizing YOLOv8 for Traffic Sign Detection.

Four members of York St John University staff at the Beyond the Classroom event on London Campus. Attendees of the Beyond the Classroom event at the York St John University London Campus.