Faculty

Mr. Robert Fontaine has been an active player in the blockchain ecosystem since 2016, including investment, business development, support of building and launching dapps, lectures, and advising medium and large companies.

His experience includes strategy and operations in blockchain, smart city, and telco industries across Europe, CIS, and MENA markets.

Dr. Kevin Koidl is a seasoned researcher, innovation strategist, and academic with over two decades of experience in artificial intelligence, machine learning, digital transformation, and interdisciplinary research management. He has led and managed high-impact, independently funded projects across Europe and the United States, with a strong focus on applying advanced technology to real-world challenges in both academia and industry.

Dr. Koidl served as a Research Fellow at Trinity College Dublin’s School of Computer Science and Statistics, a Guest Scientist at the ADAPT Centre in Dublin, and a Visiting Professor for Innovation and Technology at Emory University in the United States. He is also a Senior Consultant at Krisolis Ltd. and the Co-Founder of Wripl Technologies and Kaffeehouse. His research interests include natural language processing (NLP), trust and personalisation, decentralised social networks, misinformation detection, data ethics, and privacy.

In addition to his academic roles, Dr. Koidl has provided consulting services to organizations such as Hewlett-Packard and IMds professional GmbH. He has also served as an innovation advisor for the European Commission, where he currently contributes as an Expert Evaluator for the Marie Skłodowska-Curie Actions, evaluating research excellence and funding proposals in the fields of science, innovation, and advanced technologies.

Dr. Koidl has attracted over €1.1 million in funding for research and innovation initiatives and has extensive experience mentoring research teams and developing cutting-edge STEM curricula. He is deeply engaged in curriculum development and delivery in topics such as AI, business intelligence, data storytelling, and entrepreneurship. He has taught and trained professionals and students in Ireland, the U.S., Italy, and Germany.

Dr. Koidl holds a Ph.D. in Computer Science and continues to serve on advisory boards, nonprofit organizations, and innovation-led initiatives across Europe.

Dr. Bahman Honari is an accomplished Statistician with extensive expertise in Industrial Statistics, Biostatistics, Actuarial Science, Econometrics, and Telecommunication Engineering. He excels in defining and executing high-impact projects, evidenced by his roles at Abbott Ireland, Mylan Dublin Respiratory.

Academically, Dr. Honari is an Assistant Professor in Biostatistics at Dublin Dental University Hospital and a Teaching Fellow in Statistics and Data Science at Trinity College Dublin, with prior lecturing experience across various institutions. He holds a PhD in Applied Statistics from the University of Limerick, and multiple master’s degrees in Socio-economic Systems and Telecommunication Engineering, alongside a BSc in Electronic Engineering.

His technical skills include data visualization, diverse regression analyses, DOE, Biostatistics, machine learning, time series analysis, and mathematical modeling, utilizing software such as R, SPSS, JUMP, and MATLAB. Dr. Honari is a recognized expert, with a strong publication record, an h-index of 8, and multiple prestigious awards for his academic and professional achievements.

Joris Vreeke is an accomplished professional with a background in Art, Design, and Information Technology. He holds a Master’s degree in Design Innovation from NUI Maynooth (2018) and a highest teaching degree in Fine Arts from Fontys (1995).

Joris is involved in a Horizon Europe-funded project designing a ludonarrative engine for cultural heritage sites and teaches Programming for Digital Media. He also lectures on the UX Design programme for UCD Professional Academy.

His extensive experience includes roles as Design Innovation Lead, Scrum Master, and Sr. Software Engineer at The ADAPT Centre — Dublin City University, where he developed a team focused on NLP, AI/Machine/Deep Learning, Visualization, and Computer Vision. He co-founded the Design & Innovation Lab at the Centre for Next Generation Localisation (CNGL) and has worked as a freelance designer and software developer.

Joris’s diverse career also includes positions as an In-house Designer for Web and Print at Valista, an ICT Consultant/JAVA Programmer at Logicacmg, and a Desktop Publisher at Buro Kloeg. He has received recognition with the DCU President’s Award for Innovation and multiple DCU Invent Awards for engagement with business and industry. His personal interests include guitar, photography, art, and art history. Joris is motivated by learning and sharing knowledge, aiming to convert existing situations into preferred ones.

Killian Levacher is an AI Research Scientist and Engineer with over 15 years of experience in Machine Learning, Software Engineering, and DevOps. He has a strong track record of delivering impactful results through productization and open-source contributions, leading to 32+ top-tier publications, 42+ patents, and the IBM Master Inventor Award. His expertise includes red teaming and adversarial AI for generative AI and LLMs, NLP solutions for PHI/PII detection and synthetic data generation, and the development of personalized dialogue systems. Killian has held leadership roles in agile squads and as a principal investigator in large EU consortiums, coordinating multi-institution research work-packages. He holds a PhD in Natural Language Processing, an MSc in Networks & Distributed Systems, and a BAI in Computer & Electronic Engineering, all from Trinity College Dublin.

Tabot Arreytambe is a seasoned Senior Product Manager at Capital One, where he leads initiatives focused on expanding credit access and enhancing fraud decisioning for mobile check deposits. His work has significantly increased same-day funds availability and reduced fraud losses. Beyond his role at Capital One, Tabot is an Adjunct Faculty member at Emory & Henry University, teaching courses on Data & Decisions and AI in Business. He is also the Co-Founder & CEO of two companies: Bitsy Builders, an edtech company empowering children with AI skills, and Hypernated, a workforce development consultancy.

With a rich background in product management and education, Tabot has held key roles at StrideLearning, ALx, and ALU Education, where he designed and launched data science bootcamps and taught various computing courses. Earlier in his career, he served as Product Owner at Zakatify, successfully launching iOS/Android apps, and as Deputy Head of the Computer Science Department at Nile University of Nigeria, where he secured a $ 15,500 grant from Google for a teacher training workshop.

Tabot holds an MBA from HULT International Business School, an M.Sc. in Computer Science from the African University of Science and Technology, and a http://B.Sc. in Physics with a minor in Computer Science from the University of Buea. He is a Certified Scrum Product Owner and has received numerous honors and awards, including the Presidential Scholar award and a Google Computer Science for High Schools grant. He has also authored several publications on e-learning and multimedia learning systems.

Kieran Fraser, PhD, is a passionate researcher and engineer specializing in AI, Security, and Human-Computer Interaction. He earned his PhD in Computer Science from the University of Dublin, Trinity College, with research focusing on Synthetic Data Generation and Push-notification technology. Dr. Fraser’s doctoral work, "ETHOS Push," proposed an empathetic framework for push-notification orchestration, aiming to improve how marketers and subscribers understand and manage notifications.

Dr. Fraser works for corporations, such as IBM on Security and Privacy of AI. His work involves conducting novel and applied research on Adversarial AI for Vision, Large-Language Models, and Agents, alongside developing new methods for Synthetic Data Generation. Prior to IBM, he was a Research Assistant at the ADAPT Centre for Digital Content Technology, where he led a commercialization project on Empathetic Push-notifications, gaining experience in market research, MVP development, and project management.

Dr. Fraser’s expertise includes Machine Learning, Data Analysis, Adversarial AI, Synthetic Data Generation, and Large-language Models. He is proficient in Python, Java, C++, Javascript, HTML5/CSS/SCSS, SQL & NoSQL, Docker, and various cloud platforms including Amazon Web Services, Azure, and Google Cloud Platform. His selected publications include research on in-context bias propagation in LLM-based tabular data generation and challenges in red teaming GenAI. He also holds two patents.

Wessel Reijers is a Postdoctoral Researcher at the Department of Media Studies, Paderborn University. Additionally, he holds visiting scholarships at the Technion and at the Robert Schuman Centre, European University Institute. He received a PhD in technology ethics from Dublin City University. Previously, he was a Max Weber Fellow at the European University Institute, a Research Associate in the ERC project "BlockchainGov", led by Dr. Primavera de Filippi, and a postdoctoral researcher at the University of Vienna.

Wessel’s current research explores the impacts of emerging technologies on citizenship, most notably coming from social credit systems. Additionally, he explores the nature of distributed governance, investigating its potential as well as its pitfalls.

Chris Drakeford is a Business Intelligence Analyst with experience in Data Analytics, Data Engineering and Machine Learning. He is accomplished in leveraging data in order to gain key insights and provide solutions to business problems. He is passionate about data integrity, identifying areas of poor data quality and centralising data from cloud service API’s. He is committed to improving workflows for colleagues using automation and simplifying everyday business issues.

Previously, Chris served as a Machine Learning Researcher at the ADAPT Centre in Dublin, where he trained Machine Learning models and developed an Android app to test them.
He has extensive knowledge in computer engineering and computer hardware.

Chris is an expert in SQL, Python, and JavaScript, and in utilising data visualisation tools such as PowerBI and Tableau. He holds a BSc. in Computer Science from Dublin Institute of Technology.