role: Students
Ke Zhang
PhD Researcher
Ke Zhang is a first-year PhD student in Future Cities Center for Smart City at School of Computer Science, Trinity College Dublin (TCD), where he is supervised by Dr. Siobhan Clarke (Professor in Computer Science at TCD). His research is in the field of Abnormal Mobility Pattern Detection which is a subfield of Artificial Intelligence that is concerned with tools and techniques to propose effective and efficient models to detect suspects in several scenarios such as pickpocket detection in subway station. Ke holds an MSc. in University of Science and Technology of China (USTC) where his thesis was focused Indoor Crowd Detection. Prior to joining the CRT-AI funded PhD programme, Ke worked as a research assistant on the Suzhou Smart City project in collaboration with the Internet of Thing Group of USTC in Suzhou, China. The project aimed to make Suzhou an efficient and sustainable city, in which citizens are safe, productive, engaged and included.
Supervisors: Professor Siobhan Clarke
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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
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Filipe Lucas De Souza
PhD Researcher
I am Filipe Souza, and I previously worked for seven years in an insurance company in Brazil dealing with large and complex datasets. In the last year, I graduated from a full-time MSc in AI with a successful first honours degree and the overall grade of 86.4%. During the masters, I worked on a novel hybrid algorithm that combined a dedicated genetic algorithm with a local search for solution refinement to solve 2D-BBP. After delivering my thesis, I also wrote a paper about this work and presented it in the 28th Irish Conference on Artificial Intelligence and Cognitive Science. Now I am starting my PhD journey researching about constraint programming with a focus on smart grids optimisation. I am also really interested in game theory and investigating the potential of combining.
ML/DL and constraint programming to address combinatorial optimisation problems.
Supervisors: Professor Barry O’Sullivan & Dr. Diarmuid Grimes
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Sharmi Dev Gupta
PhD Researcher
Hello everyone, I am a PhD student under the supervision of Prof. Barry O’Sullivan and am currently working on Ethics in AI. My interests include Counterfactual explanations in AI, NLP, configuration systems, constraint programming, recommender systems etc. Some of my published work includes
1. Dev Gupta, S., Genc, B. and O’Sullivan, B. (2021) ‘Explanation in Constraint Satisfaction: A Survey’, JCAI 2021: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada. Virtual Event, 17-27 August, pp. 4400-4407. doi:10.24963/ijcai.2021/601
2. Finding Counterfactual Explanations through Constraint Relaxations, Sharmi Dev Gupta, Beg¨um Genc, Barry O’Sullivan. Explainable Agency in Artificial Intelligence Workshop 36th AAAI Conference on Artificial Intelligence, February 28-March 1 2022.
3. Rathee, G., Balasaraswathi, M., Chandran, K. P., Gupta, S. D., & Boopathi, C. S. (2021). A secure IoT sensors communication in industry 4.0 using blockchain technology. Journal of Ambient Intelligence and Humanized Computing, 12(1), 533-545.
4. A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval, Dhairya Dalal, Sharmi Dev Gupta and Bentolhoda Binaei. Causality-driven Adhoc Information Retrieval (CAIR-2021) shared task.
I am currently working towards building a user-friendly system for providing counterfactual explanation and maximally relaxed solutions for constraint satisfaction problems. I am interested in learning and working in multiple domains in Artificial Intelligence. Apart from academics I am interested in learning martial arts and am currently learning various self-defence techniques, I would also like to travel all across the world and experience different cultures.
Supervisors: Barry O’Sullivan
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Jhession Argiro Lopez Restrepo
PhD Researcher
I am Colombian, currently living in the city of Medellín. In this same city, I graduated as an Electronic Engineer and later obtained a master’s degree in Engineering with an emphasis on the development of information systems, both grades coursed at the University of Antioquia. For some years I taught university introductory courses in Programming and Computer Architecture, first in Colombia and then in Argentina. At the same time, I was developing my master’s thesis.
I also had been working on enterprises related to banking and insurance services mainly doing software test automation. Thanks to this last work I know a little about the current use of cloud computing services (mainly AWS), Docker and Kubernetes. In my research work I studied the use of high-performance computing and hybrid metaheuristics to solve combinatorial optimization problems.
I am currently working with Dr. Laura Climent in the use of Constraint Programming and Metaheuristics to solve Combinatorial Optimization Problems arising from the context of smart cities and uncertain environments. On the personal level, when time is enough, I really enjoy doing
long bike rides and practicing a little Yoga. I am always interested in discovering new music and I am definitely passionate about the cinema, although I always have an outstanding debt with it.
Supervisors: Professor Barry O’Sullivan & Dr. Laura Climent
PUBLICATIONS
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