Aman Kumar
I am a researcher at the University of Zürich, focusing on Personalized Visual Analytics and Multi-Criteria Decision Support Systems. My work bridges the gap between complex data analysis and human decision-making through interactive visualizations and explainable AI.
My current research develops interactive frameworks that capture user preferences through explicit inputs and implicit feedback, enhanced with LLM-powered explanations to improve decision accuracy and transparency in real-world applications. I am particularly interested in how visual analytics can make complex AI systems more interpretable and trustworthy for domain experts.
University of Leeds, United Kingdom
Distinction, GPA: 4.0/4.0
Indian Institute of Science Education and Research (IISER) Bhopal, India
GPA: 10/10 (MS)
My research lies at the intersection of Visual Analytics, Multi-Criteria Decision Support, and Human-Computer Interaction. I develop interactive systems that make AI explainable, transparent, and aligned with human decision-making processes.
Interactive data visualization techniques for complex analytical reasoning and decision-making support
User-centered design, interaction techniques, and human-in-the-loop systems
Developing frameworks for complex decision-making that balance multiple competing objectives and user preferences
Developing interpretable models and explanation techniques for AI transparency
Measuring and visualizing uncertainty in predictions and decisions to improve trust and reliability
Integration of LLMs for natural language explanations and interaction
Our paper on "Personalized Visual Analytics Framework" has been accepted at the 16th International EuroVis Workshop on Visual Analytics (EuroVA 2025).
PublicationJoined the Department of Informatics as a Researcher, focusing on Personalized Visual Analytics for Multi-Criteria Decision Making.
PositionCompleted MSc in Business Analytics and Decision Sciences with Distinction (4.0/4.0 GPA).
AchievementFinished extensive research on evaluating SHAP value stability under class imbalance, introducing novel CV metric.
Research