Jovan Jeromela, MSc

About

Jovan Jeromela is a Ph.D. candidate at Trinity College Dublin, working within the ADAPT Centre and fully funded by the SFI Centre for Research Training in Artificial Intelligence. His research focuses on scrutable user modelling and interaction design for proactive Intelligent Personal Assistants (IPAs), under the supervision of Prof. Owen Conlan.

Research Interests

• Human–Computer Interaction (HCI)
• Proactive and Explainable Intelligent Personal Assistants
• User Modelling and Adaptive Systems
• Semantic Web and Argumentation Frameworks
• AI Risk and Decision Support Systems

Education

• PhD in Computer Science, Trinity College Dublin (2021–present)
• MSc in Data Science, TU Wien, Austria (2019–2023)
• BSc in Software & Information Engineering, TU Wien, Austria (2015–2019)
• BSc in Computer Science, University of Novi Sad, Serbia (2015–2018)

Selected Publications

• Gajcin, Jeromela, Dusparic. Towards Personalised and User-Friendly Counterfactual Sequences for Failure Correction, exUM@UMAP 2025.
• Gajcin, Jeromela, Dusparic. Semifactual Explanations for Reinforcement Learning , HAI 2024.
• Jeromela & Conlan. Devising Scrutable User Models for Time Management Assistants, exUM@UMAP 2024.
• Jeromela & Conlan. Onboarding Stages and Scrutable Interaction: How Experts Envisioned Explainability in Proactive Time Management Assistants , HAI 2023.
• Jeromela & Conlan. Voicing Suggestions and Enabling Reflection: Results of an Expert Discussion on Proactive Assistants for Time Management , CUI 2023.
• Jeromela. Scrutability of Intelligent Personal Assistants , UMAP 2022.

Recent Positions

• Research Scientist Intern, IBM Research – Dublin, Ireland (2024)
• Teaching Assistant, Trinity College Dublin (2021–2025)
• Data Science Analyst, Accenture – Vienna, Austria (2021)
• Research Assistant, TU Wien (2020)

Skills

• Languages: Python, R, Java, C++, SQL, NoSQL
• Frameworks: PyTorch, PySpark, Sklearn, Spring, MapReduce
• Languages Spoken: English (C1), German (C1), Serbo-Croatian (native)