Alex Randles received a First Class Honours in a Bachelor’s degree in Computer Applications, from Dublin City University. During his BSc, he completed a research project, which involved designing a voice-controlled assistant, which uses natural language processing, to allow users the ability to carry out a number of functions, such as sending emails, searching Wikipedia and even controlling smart home devices.

He also completed an internship in the Central Bank of Ireland. During this time, he gained valuable team working skills. His work focused on file transfer projects, which involved sending and receiving files to and from the European Central Bank.

Currently, Alex is conducting his research in the ADAPT Research Centre, located in Trinity College Dublin. His research focuses on Linked Data quality, specifically relating to quality within the processes involved in creating linked data, with a specific focus on using Artificial Intelligence to improve these processes. He is also involved in the AVERT project, which involves using Linked data to investigate environmental triggers of clinical conditions and events.

Supervisor: Professor Declan O’Sullivan and Dr Ademar Crotti Junior

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

Rory O’Sullivan-Hennessy is a Ph.D. student, supported by a Science Foundation Ireland Postgraduate Research Scholarship, currently researching in the area of disruptive technologies and digital health. Rory read law as an undergraduate at Trinity College, having been conferred with the LL.B. degree in 2016 and then the LL.M. in 2017. Rory joined the Privacy and Data Security team of Mason Hayes & Curran, one of Ireland’s leading commercial law firms, in 2018 as a Legal Executive, helping to advise tech clients including Facebook, WhatsApp and Airbnb on their privacy structuring.
In 2019, Rory was awarded a fully-funded, competitive research scholarship of four years’ duration by Science Foundation Ireland’s Centre for Research Training in Artificial Intelligence (CRT-AI). The CRT-AI is Ireland’s dedicated academic hub for doctoral training in AI technology. Under the supervision of Dr. Andrea Mulligan (TCD School of Law) and Dr. Dave Lewis (TCD School of Computer Science and Statistics), Rory’s thesis puts forward proposals for the ethical regulation of artificial intelligence technologies in the healthcare space.
In September 2020, Rory joined the Law School of University College Cork as a Lecturer of Technology Law, delivering modules in Privacy & Data Protection Law, Intellectual Property Law and Cybercrime (as well as the Law Faculty of Griffith College Dublin as a Lecturer of Tort Law). Rory currently delivers seminars in law to Trinity’s LL.B. students, and tutors on the Trinity EthicsLab elective with Professor Linda Hogan of the TCD School of Ecumenics. In 2020, Rory began delivering a series of Ethics and Professionalism workshops in the TCD School of Medicine in the areas of medical ethics, digital health and data protection. Rory also works closely with the bodies governing equestrian sport in Ireland, including Horse Sport Ireland, and acts as the National Children’s Officer for the Irish Pony Club.

Supervisors: Dr. Andrea Mulligan

Alberto has always been fascinated by the potential of artificial intelligence and its capacity to amaze. He oriented his academic path to focus on AI more specifically on machine learning.

He began his studies in Milan (IT) at the University of Milano Bicocca where he accomplished a bachelor’s degree in computer science with a thesis named Rule based vehicle pedestrian interaction: focusing on pedestrians. He proceeded his education with a master’s degree held by the same institute where he achieved H1.

Throughout it, he expanded his horizon by doing an intern as R&D for three months in a local company and by pursuing two Erasmus. First one to study one semester at the University of Tromsø. The Arctic University of Norway (UiT) and second, with a length of 6 months, for researching on his master thesis aimed for new mobility services, at the Distributed System Group at the Trinity College Dublin, the University of Dublin, entitled Shared Autonomous Vehicles: A Reinforcement Learning Approach.

Alberto is currently investigating Reinforcement Learning in multi agent context.

Supervisors: Dr Ivana Dusparic

Hriday Sangvhi  was awarded a merit scholarship for his Bachelor studies and holds a B.Tech degree in Computer Science and Engineering from the SRM Institute of Science and Technology in India. In addition, he has completed certified programmes, a Machine Learning course and a six-course specialization in Deep Learning, by Andrew Ng, Stanford University. He has also completed a series of machine learning projects to understand the underlying mathematics behind popular machine learning algorithms.
Hriday has worked on real-life data science projects in two paid internships as a Bachelor’s student. One was at a leading network security engineering company, where he built network security analytics and intelligence applications based on Splunk and IBM QRadar. Another was at a global IT consultancy, where he was selected through a competitive process, and where he developed a recommender system for an e-commerce shopping cart.
Hriday won the best paper award for his Bachelor’s research on Deep Q-Networks Reinforcement Learning. His research paper titled, ‘Damped Sinusoidal Exploration Decay Schedule to improve Deep Q-Networks-based Agent Performance’ is published in the Springer journal ‘Artificial Intelligence and Evolutionary Computations in Engineering Systems’. Hriday is the first author of his research paper, with a faculty member being the only other co-author. Hriday’s PhD research involves bringing innovations to Deep Multi-Agent Reinforcement Learning, to analyze real-time granular data from connected autonomous vehicles, for self-organising traffic system optimization.
Hriday combines a unique blend of skills in scientific research and software engineering that focus on Artificial Intelligence.
“I am interested in building advanced Machine Learning and Artificial Intelligence systems that push the boundaries of innovation. My goal is to combine cutting edge research with industrial-strength software to solve real-world problems.”

Supervisors: Professor Vinny Cahill