Mohammad Moghimi is a first-year PhD student in the SFI Centre for Research Training in Artificial Intelligence at the University of Limerick, where he is supervised by Dr. Patrick Healy.

He is working on a series of innovative projects for Smart Transport including Electric and self-driving (autonomous) vehicles. His research focuses on Sound Event Detection, as a Sound Assistance, for Driverless Cars. In his project, he uses Artificial Intelligence methods, especially Neural Networks and deep learning, to detect some important sound events, such as the siren of Emergency Vehicles, tire skidding, car crashes, and weird engine sounds. The purpose of this project is to increase safety and trust in driverless cars by detecting unseen events and hazards.

Mohammad did his MSc in Electronic Engineering from Iran where his thesis was related to Sound and Music processing. Prior to joining the CRT-AI funded PhD programme, Mohammad worked as a teacher and an advisor to students with Signal and Sound processing theses, a programmer and Signal processing research assistant at the Meymed Company, a Sound Engineer and Guitar player in some international concerts and studios.

In his spare time, he enjoys searching, reading books, teaching and playing the classic guitar, and listening to music.

Gauri Vaidya is a first-year Ph.D. student at Biocomputing and Developmental System Group (BDS) in the Computer Science and Information Systems (CSIS) department at the University of Limerick, where she is supervised by Professor Conor Ryan, Full Professor at the University of Limerick. Her research is in the field of Evolutionary Computation which is a subfield of Artificial Intelligence. During her research, she will develop techniques to develop a multimodal Grammatical Evolution tool that represents multiple different data modalities and aims at integrating them to get valuable insights. Gauri holds a Bachelor’s degree in Computer Science and Engineering from the Government College of Engineering, Aurangabad, India. Her Bachelor thesis was to develop a blockchain-based First Information Report (FIR) for the City Police Service to avoid malicious tampering. Prior to joining the CRT-AI-funded Ph.D. program, Gauri worked as a Trainee-Analyst in Principal Global Services, Pune, India.  Her work included developing customized applications for the clients in Salesforce software tool, the world’s largest Customer Relation Management tool. In her spare time, Gauri enjoys reading books, painting, and exploring art forms.

Supervisor : Professor Conor Ryan 

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                           

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

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