University: DCU
OTHER TEAM MEMBERS
Dr. Marija Bezbradica
CRT in AI Supervisor
Marija Bezbradica obtained my B.Sc.E.E. from the School of Electrical Engineering, University of Belgrade, Serbia (2007) and MSc in Biomedical Engineering from the same University (2008). Marija then acquired extensive experience in Complex Systems Modelling and Scientific Computing, completing her PhD in the School of Computing in DCU, Ireland (2013). Specifically, the research involved building stochastic models to predict dissolution of complex drug formulations and controlled release of active pharmaceutical substances. Her subsequent postdoctoral research at DCU (2013-2015) included design and implementation of stochastic computational models and predictive methods for pedestrian behaviour, particularly in large, complex urban networks. Marija’s current areas of research, as an Assistant Professor, (2015 – date) remain strongly interdisciplinary and include implementation of computational simulation methods such as cellular automata and agent-based models, predictive and behavioural analytics in software usage, Smart Cities, as well as FinTech and InsurTech areas, drawing on a background in machine learning, applied mathematics, statistics and high performance computing. Marija received national and international funding in domain of retail analytic and Fintech.
OTHER TEAM MEMBERS
OTHER TEAM MEMBERS
Dr. Vladimir Krylov
CRT in AI Supervisor
Discipline: Computer Vision, Statistics
Specialisation: Remote sensing image processing, geolocalisation
ML, AI, DL, CV
Professor Annalina Caputo
CRT in AI Supervisor
Information Retrieval, Natural Language Processing, Recommender Systems
OTHER TEAM MEMBERS
Dr. Suzanne Little
Co-Director
Dr. Suzanne Little (Co-Director, DCU). Dr. Little is an assistant professor in the School of Computing at Dublin City University and an SFI Funded Investigator in the Insight Centre for Data Analytics. Her research interests are in the area of multimedia semantics and she uses tools from artificial intelligence, machine learning, computer vision and information retrieval to improve methods for content-based media analytics.
Mikhail Kudriavtsev
PhD Researcher
For his Master’s degree, Mikhail studied Informatics and Computer Sciences at the Moscow Institute of Electronic Technology (MIET). Despite specializing in Microelectronics, he applied this knowledge in a variety of fields. As such, his Master’s thesis was on signal processing in human-computer interaction. He worked as a software developer for an IT company as part of an extremely experienced team produced a working national payment system for Armenia. After this Mikhail joined a scientific group in the Moscow State University of Design and Technology (MSUDT) to study the role of Artificial Intelligence in design. Specifically, his research topics included solving the problem of quick and objective user interface evaluation and fashion trend prediction. In MSUDT he started to study Machine Learning techniques and multivariate statistical analysis. At the same time, he worked as a lecturer at The University of Contemporary Art, Moscow, teaching UX design.
My main passion is science in general. That is why I like to study and then implement knowledge in any field. That is why I like to learn everything very classically: math, physics, computer science as well as art history, classical music, ballroom dancing, pure ballet. And that is why I like teaching; as a way to share science. Aristotle summed up my perspective when he said, “ true happiness is the exercise of reason – a life of intellectual contemplation, of thinking.” Currently, Mikhail is researching on Association Rule Mining techniques in general with further application to revenue management.
Supervisors: Dr. Marija Bezbradica and Dr. Andrew McCarren
OTHER TEAM MEMBERS
Thao-Nhu Nguyen
PhD Researcher
Thao-Nhu is currently a first-year Ph.D. student at School of Computing at Dublin City University where she is supervised by Prof. Cathal Gurrin and Dr. Annalina Caputo. Her research field is apply Deep Learning techniques to lifelogging which aims to produce meaningful information from lifelogging data. Prior to joining the CRT-AI funded PhD programme, Thao-Nhu worked as a Junior Data Analyst at Seedcom Corporation in the project of F&B Store Selection using Machine Learning models. In her spare time she enjoys spending the weekends hanging out and cooking with friends.
Supervisors: Prof. Cathal Gurrin , Dr. Annalina Caputo
OTHER TEAM MEMBERS
Ghayadah Alkharusi
PhD Researcher
I have completed my bachelor’s degree in Biomedical Engineering at Dublin City University, graduating in 2019. During my bachelor’s, I was involved in summer projects with my current supervisor Tanya Levingstone, working on different tissue engineering applications such as Hydrogel fabrication and wearable skin tattoo sensors. The wearable skin tattoo study was published in the ‘Analytical Methods’ journal and I was listed as a coauthor. Furthermore, as part of my degree requirements, I needed to apply for an internship related to my study area. Therefore, I worked in a hospital for six months (biomedical department). I was involved in reprogramming and monitoring medical devices, which improved my confidence in applying my engineering skills in a real-world setting. My current Ph.D. work is in 3D bioprinting scaffolds that will be used to treat osteoporosis issues. Artificial intelligence (AI) will play a massive part in my work to optimize the current fabrication methods used in tissue engineering.
Supervisors: Dr. Tanya Livingstone & Dr. Suzanne Little
OTHER TEAM MEMBERS
Gosia Gutowska
PhD Researcher
Gosia’s main interests include data, technology and science overall. She has several years experience working with data mining, processing, analysis visualisation as well as leading a data team.
Her PhD research focuses on the explainable aspect of deep learning techniques applied to anomaly detection, in order to support experts verifying machine made decisions where ML or Dl techniques are utilised and where catching potential false positives is essential.
Gosia holds the MSc in Data Analytics from DCU and was awarded best practicum from the Data Analytics major in PwC Msc in Computing Award. The practicum project involved the analysis of time series signals from radio telescopes, for the purposes of classification of signals from potential extra-terrestrial intelligence (as a part of the SETI project). The paper from this research was later published at the Irish Conference on Artificial Intelligence and Cognitive Science.
Before developing the interests towards data science, she entered many side-tracks on her professional development path which touched upon physics, chemical engineering, web technologies and software development.
She also holds the equivalent to Master’s Degree in Medical Physics from Jagiellonian University and in Materials Engineering and Chemistry from AGH university of Science and Technology in Krakow, Poland.
Supervisors: Dr. Andrew McCarren Dr. Suzanne Little.
