The Global Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Dena's work contributes towards the following SDG(s):
About Dena
Dena Bazazian is a lecturer in machine vision and robotics at the University of Plymouth. Previously, she was a senior research associate at the Visual Information Laboratory of the University of Bristol. Prior to that, she was a research scientist at CTTC (Centre Tecnològic de Telecomunicacions de Catalunya) and a postdoctoral researcher at the Computer Vision Center (CVC), Universitat Autònoma de Barcelona (UAB) where she accomplished her PhD in 2018. She had long-term research visits at Barcelona Supercomputing Center (BSC) in 2024; at the NAVER LABS Europe in Grenoble, France in 2019 and at the Media Integration and Communication Center (MICC), University of Florence, Italy in 2017. She worked with the Image Processing Group (GPI) at Universitat Politècnica de Catalunya (UPC) between 2013 and 2015. Dena Bazazian was one of the main organisers of the series of Deep Learning for Geometric Computing (DLGC) workshops at CVPR2024-20, ICCV2021, Women in Computer Vision (WiCV) Workshops at CVPR2018 and ECCV2018, Robust Reading Challenge on Omnidirectional Video at ICDAR2017.
Supervised Research Degrees
- PhD Students:
As Dos (Director of Study):
- Owen Fiddy (2025-now), Funded by EPSRC-UDLA. Title: Drone-Assisted Vision for Advanced Offshore Wind Turbine Maintenance.
- Guy Ludford (2025-now), Funded by ARIA. Title: Autonomous Surface Sea Vessel Swarm Robotic Control Algorithm for Climate Forecasting.
- Hayden Lee Close (2025-now), Funded by Cefas. Title: Modernising Imagery-Based Monitoring in Marine Environments Through AI and Machine Learning.
- Josh Gray (2024-now)- Funded by URS General. Title: Real-time Fall Prediction and Detection System for The Elderly in Care Homes Based on Quantum Computing and Artificial Vision.
- Eleanor Cross (2024-now)- Funded by CDT SuMMeR. Title: Harnessing AI for Enhanced Underwater Biodiversity Monitoring.
- Dharmendra Selvaratnam (2023-now)- Funded by EPSRC DTP HMT. Title: Visual analysis system to detect and predict the signs of anxiety in healthcare.
- Firas Zoghlami (2018-2024)- Funded by International Node. Title: Anomaly Detection based Post Gripping Perception for Logistics Robotics.
As other supervisors:
- Lakmini Herath (2025-now), Funded by EPSCR-UDLA. DoS: Craig McNeile. Title: Developing a data science pipeline to extract high-resolution models of eyes from MRI scans.
- Cerys Rimmer (2024-now)- Funded by SoBMS. DoS: Lauren Biermann. Title: Seaweed and Sea-Scents: Assessing the impacts of Successive Sargassum blooms across the Tropical North Atlantic on Dimethyl Sulphide production and Cloud Cover.
- Internship/Visiting Students:
- Isabel Ferri Mollá (Universitat Politècnica de València) - Visual Navigation with AI, AR and Multimodal Interaction, PhD Research Visit, 2025.
- Haftamu Gebretekle (University of Calabria) - AI and Enviromental Science -Erasmus Summer Internship Programme, 2024.
- Josh Fruin - Tech prototype using deep learning AI for object detection in museums, ADA Research/KE project, 2023.
- Mazvydas Gudelis (University of East Anglia) - Underwater Image Enhancement Based on Neural Rendering, CDORE Seedcorn Funding, 2023.
- Nathan Everett - Improve the remote medical system of the British Antarctic Survey, SECaM Student Research Internships, 2023.
Teaching
Module Leader at the University of Plymouth (Faculty of Science and Engineering- School of Engineering, Computing and Mathematics):
- AINT515/515Z: Artificial Vision and Deep Learning (2022/2023 - Present)
- ROCO321: Computer Vision (2023/2024 - Present)
- AINT308: Machine Vision and Behavioural Computing (2022/2023)
