Naa Korkoi Addo

PhD Researcher

Naa Korkoi Addo is a first-year PhD student  at the department for Computer science and Information systems at the University of Limerick where she is supervised by Dr. Patrick Healy. Her research is in the field of Artificial Intelligence in Food Process Engineering. She will be exploring and adapting AI methodologies to increase the efficiency of food plants by maximizing the use of their raw materials thereby reducing food waste. Naa Korkoi is a young Food Process Engineer  whose personal experience with food backed by the knowledge of how it affected innocent people globally yielded a desire to not only try out new recipes in the kitchen but to also learn the associated science and engineering technologies that can be used in increasing safe food supply (from raw to processed) to meet the ever growing demand. Naa Korkoi had her undergraduate education at the University of Ghana, Legon where she held a number of leadership positions including Women in Engineering president from 2017-2018.  Naa Korkoi holds a Bsc. in Food Process Engineering. Her thesis was focused on using cashew nuts, an under-utilized cash crop in her country to increase the yoghurt population by making yoghurt for vegans, lactose intolerant and persons allergic to cow milk. She had the opportunity for her final thesis to be published in the Ghana Science Association book of abstracts.
She worked in the Milks and Infant cereals plant of Nestlè Ghana Limited.(Tema factory).
Prior to her CRT-AI funded PhD programme, Naa Korkoi served on various projects including Real-time AI driven diagnostics and behavior change to improve adolescents’ diets and nutrition in urban Ghana and Viet Nam- funded by The International Food Policy Research Institute (IFPRI), Developing antenatal care intervention to reduce the prevalence of Anaemia among pregnant women in Ghana- a joint project with the University of Lancashire, Preston, England, Effect of composite foods powder intake on the nutritional Anaemia and growth status of young Ghanaian children under five years- funded by the Nestle Foundation at the Nutrition department of Noguchi Memorial Institute for Medical Research.        

Supervisor: Dr. Patrick Healy                           

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Mashal Kahn

PhD Researcher

Mashal Kahn is a first-year Ph.D. student in the Department of Computer Science at the National University of Ireland, Galway-NUIG, where she is supervised by Dr. Matthias Nickles and Dr. Frank Glavin. Her research is in the field of Federated Machine Learning which is a subfield of Artificial Intelligence. The research is about the decentralized and federated training of Machine Learning models ensuring data Privacy. Mashal holds an MS in Information Security, Pakistan where her thesis was focused on Blockchain and its applications. Prior to joining CRT-AI funded Ph.D. program, Mashal worked as a Lecturer and Final Year Project Coordinator in the department of Computer Science, National University of Computer and Emerging Sciences, Pakistan. She also worked as a Research Assistant, where she worked on the network and security analysis of blockchain networks. In her spare time, Mashal enjoys hanging out with friends, going on trips, and playing badminton.

Supervisor: Dr. Matthias Nickles and Dr. Frank Glavin.

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Brian Collins

PhD Researcher

A graduate with an eclectic set of educational and employment experience. Originally studied Mechanical Engineering (with sustainability) for my bachelors. Followed by a MSc in an Applied Maths & Physics, and diploma data analysis & science.
Coupled with my graduate employment experience initially in the IT sector, follow by Biomed & Energy sector has given me interest in research in applying data science to real world problems. My extra-curricular interesting in regenerative medicine inspired me in this case, to my current Ph.D. -applying machine learning to tissue engineering.

Supervisors: Dr. Tanya Levingstone & Dr. Malika Bendechache

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Dermot Sheridan

PhD Researcher

Dermot Sheridan is a second-year PhD student in the School of Computing , Dublin City University , where he is supervised by Prof. Mark Roantree l His research is in the field of application of machine learning for athlete monitoring and performance prediction in team sports which is a subfield of Artificial Intelligence that is concerned with tools and techniques to help investigate sports performance. Dermot holds an MSc. of Science, where his thesis was focused on Fatigue and Recovery in Gaelic Football. Prior to joining the CRT-AI funded PhD programme, Dermot worked as a sport scientist and performance coach with elite Gaelic football in Ireland. In his spare time Dermot enjoys being active and hanging out with friends.

Supervisor: Prof. Mark Roantree

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Zohreh Khosrobeigi

PhD Researcher

She is a second-year PhD scholar in the Research Centre for Computing and Language Studies at the school of Computer Science and Statistics, Trinity College Dublin, where I am supervised by Assistant Professor Carl Vogel. Her research is in the field of Human to Human Interaction which is a subfield of Artificial Intelligence in Video and Speech processing that is concerned with tools and techniques to Analyse Gestures in the Conversation to Recognize Gestures are a part of the conversation and help a better understanding. She is a Teacher Assistant at Prolog Programming and Artificial Intelligence modules. She holds an MSc. In Multimedia, where her thesis was focused on Persian OCR. In his/her spare time, Zohreh enjoys cycling, dancing, and socializing with her friends. You can also reach Her through her academic page.

Supervisors: Professor Carl Vogel

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Cathy Roche

PhD Researcher

Cathy is a second-year Ph.D. student in the School of Computer Science and Statistics, Trinity College Dublin, where she is supervised by Professor Dave Lewis.

Her research is in the field of Artificial Intelligence (AI) and Ethics, where she is looking at diversity and inclusion in the emerging AI standardisation and ethical principles. Cathy holds a MSc in Computing from Technological University Dublin (TUD) where her thesis focused on using Machine Learning to identify the determinants of employee engagement. She also holds a MA in International Development from Dublin City University (DCU) and a postgraduate degree in Education from Trinity College Dublin.

Prior to joining the CRT-AI funded Ph.D. programme, Cathy worked as a Data Scientist in the financial sector, having had previous roles with Irish Aid, Young Social Innovators and Amnesty International Ireland. In her spare time, Cathy enjoys reading, cooking and baking.

Supervisors: Dr. Dave Lewis & Dr. PJ Wall

PROJECTS

Optimisation and Constraint Programming 2

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Dr. Dave Lewis

CRT in AI Supervisor

Jasmina Gajcin

PhD Researcher

Jasmina is a second-year PhD student at Trinity College Dublin, where she is supervised by Professor Ivana Dusparic. Her research is mainly in the field of reinforcement learning, which is a subfield of Artificial Intelligence, concerned with developing smart autonomous agents.

She is in particular interested in researching methods for explaining behavior of agents. Prior to joining CRT-AI program, Jasmina obtained MSc. degree in computer science at University of Novi Sad, Serbia. Her MSc. thesis was focused on increasing robustness of neural networks for classifying damaged images. In her free time Jasmina is a passionate chess player.

Supervisors: Ivana Dusparic

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Fatemeh Amerehi

PhD Researcher

Fatemeh​​ is​ a​ Ph.D.​ researcher​ in​ computer​ science​ and​ information​ systems​ at​ the​ University​ of​ ​Limerick.​ Her​ research​ interests​ lie​ in​ the​ area​ of​ Deep Generative model and mathematical​ programming,​ ranging​ from​ theory​ to​ design​ to​ implementation. Her​ current​ research​  concerns the analysis and introduction of an effective evaluation metric for deep generative models with a special attention to Generative Adversarial Networks (GANs) and diffusion models.

Supervisors: ​Prof. Patrick Healy & Prof. Barry O’Sullivan

PROJECTS

Optimisation and Constraint Programming 2

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Yumnah Hasan

PhD Researcher

My research expertise is in Computer vision and Deep Learning. I did my masters thesis on “Robust detection and Classification of vehicles in urban complex environment”. For this project our team built our own dataset and we implemented different detection and classification techniques on it. I got my first publication on my thesis topic. I presented my research paper in the Future technologies Conference which was held in San Francisco, USA. Then I started working on other two projects which are rice classification and Fingerprint recognition with teammates. We did 2 more publications on each topic and both were presented in an international conference. I am very interested in working on biomedical images in which these techniques can be used. Fortunately, I got a chance to select my research topic like that. I will be doing research on multiparametric identification and segmentation of breast cancer using DNN and Grammatical Evolution.

Supervisor: Professor Conor Ryan

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Halima Boutouil

PhD Researcher

I am Ph.D student at DCU Centre for Medical Engineering Research at School of Mechanical and Manufacturing Engineering DCU, where I am supervised by Dr. Tanya Levingstone, Dr. Suzanne Little and Prof. Nicholas Dunne. My research falls in the field of tissue engineering, which refers to the practice of combining scaffolds, cells, and biologically active molecules into functional tissues.

During my PhD I aim to develop a novel Artificial Intelligence algorithm to optimise printing parameters for different bioinks.

I hold a Bachelor’s in Engineering, I joined Future Neuro Center at RCSI Dublin as a Visiting Scientist, where I analysed EEG data and built an interface for signal processing and data visualization.
Before joining the CRT-AI funded PhD program, I worked as a research assistant in the same group at RCSI, where we developed a machine learning algorithm for the detection of spontaneous seizures in EEG in multiple experimental mouse models of epilepsy.

Supervisors: Dr. Tanya Levingstone, Dr. Suzanne Little and Prof. Nicholas Dunne.

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Eric Ferreira dos Santos

PhD Researcher

Eric’s main interests include data, technology, science overall and machine learning, mainly in the model explanation. He has several years’ experience working with data engineering, processing and analysis, and leading a data and development team. Eric’s PhD research focuses on the explainable aspect of deep learning techniques applied to image classification to support experts verifying machine-made decisions where ML or DL techniques are utilised and where catching potential false positives is essential. Eric held the MSc in Information Systems from the Federal University of Rio de Janeiro – Brazil. The research developed a framework to identify bot messages characteristics on Twitter and explains the concepts humanly to ordinary users. The paper from this research was published at the FATES workshop in 2019, and other publications will be released. Before developing his interests in data science, he entered many side-tracks on his professional development path, which touched upon web technologies, software development and business intelligence.

Supervisors: Dr. Alessandra Mileo

PROJECTS

Optimisation and Constraint Programming 2

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Dhairya B. Dalal

PhD Researcher

Dhairya Dalal is a Ph.D. student in the Unit for Natural Language Processing at the Data Science Institute (DSI) at NUI Galway and is supervised by Dr. Paul Buitelaar and Dr. Mihael Arcan. Dhairya is broadly interested in developing unified language models to support causal reasoning over texts and natural language understanding. His research focuses on structuring knowledge within language models with external knowledge graphs to support causal reasoning across various NLP tasks including question answering, information retrieval, relation extraction, and event linking.

Before joining NUI Galway, Dhairya led deep learning research at the MIT-based fintech startup Posh Technologies. He has ten years of industry and startup experience in applied deep learning, data science, and technical project management. Dhairya has worked at the VC-backed AI startup Talla, the Allen Institutes for Artificial Intelligence and Brain Science, and Harvard University. Dhairya is passionate about the intersection of social impact and technology. He co-founded the non-profit City Awake, which was acquired by the Boston Chamber of Commerce, and ran Boston’s first social impact startup accelerator in partnership with the Unreasonable Institute. Dhairya has a Masters’s degree in Software Engineering from Harvard University, where he completed his thesis under the guidance of Dr. Stuart Shieber. His undergraduate degrees are in English and Interdisciplinary Studies from the University of Rochester.

Supervisors: Dr. Paul Buitelaar

PROJECTS

Optimisation and Constraint Programming 2

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