Rifat Mehreen Amin

E-Mail	rifat.amin ät ifi.lmu.de
Telefon	089 / 2180-75148
Adresse	Rifat Mehreen Amin Ludwig-Maximilians-Universität München Media Informatics Group Frauenlobstr. 7a 80337 München
Raum	439 (4. Stock)

Forschungsinteressen

Mein Forschungsinteresse liegt darin, Visualisierungswerkzeuge mit Hilfe von maschinellem Lernen und kÃ¼nstlicher Intelligenz intelligenter zu machen und Wege zu finden, um ethische und vertrauenswÃ¼rdige Visualisierungswerkzeuge zu entwickeln. Meine anderen Kooperationen umfassen Projekte, die an der Schnittstelle von HCI und AI liegen, einschlieÃŸlich Big Data Analytics.

Lehre

Summer Term 2025: Practical Course: Human Computation and Analytics, Hauptseminar Medieninformatik
Wintersemester 2024/25: Human Computation and Analytics, Information Visualization, Hauptseminar Medieninformatik
Summer Term 2024: Practical Course: Human Computation and Analytics, Hauptseminar Medieninformatik
Wintersemester 2023/24: Human Computation and Analytics, Information Visualization, Hauptseminar Medieninformatik
Summer Term 2023: Practical Course: Human Computation and Analytics, Proseminar Medieninformatik
Wintersemester 2022/23: Human Computation and Analytics, Information Visualization
Summer Term 2022: Practical Course: Human Computation and Analytics

Publikationen

2025
Download	Rifat Amin, Oliver Hans KÃ¼hle, Daniel Buschek, Andreas Butz Composable Prompting Workspaces for Creative Writing: Exploration and Iteration Using Dynamic Widgets Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). ACM. New York, NY, USA. 2025. (bib)
2024
Download	Rifat Amin, Feng Chen, Linda Hirsch, Changkun Ou, Tran-Vu La, Andreas Butz Integrating Crowd and Machine Learning in an Intelligent Interface: A Case Study of Oil Spill Detection in Satellite Images In Proceedings of the 17th International Conference on Advanced Visual Interfaces (AVI '24). ACM. New York, NY, USA. 2024. https://doi.org/10.1145/3656650.3656680 (bib)
Download	Rifat Amin, Pia Hammer, Andreas Butz Using Machine Learning to Improve Interactive Visualizations for Large Collected Traffic Detector Data In Proceedings of the 29th International Conference on Intelligent User Interfaces (IUI '24). ACM. New York, NY, USA. 2024. https://doi.org/10.1145/3640543.3645177 (bib)
2023
Download	Rifat Amin Multi-Objective Counterfactuals for Counterfactual Fairness in User Centered AI UCAI'23: Workshop on User-Centered Artificial Intelligence @ Mensch und Computer 2023 (MuC'23), September 3-6, Rapperswil, Switzerland (bib)
	Svenja Schött, Rifat Amin, Andreas Butz A Literature Survey of How to Convey Transparency in Co-Located Human-Robot Interaction In Multimodal Technol. Interact. 2023, 7(3), 25 (bib)

Abschlussarbeiten

Offen

	MA/BA	Tracing Edits: Interactive Exploration of Conversational Image Editing Histories
	BA/MA	AI-assisted Context-Aware Document Reader
	master thesis	Dynamic Interfaces for AI-Guided Image Editing

Ongoing

2025
Hannah Kindermann	bachelor thesis	A Comparison of Statistical and Counterfactual Fairness Metrics for Explainable AI

Abgeschlossen

Felicia Saruba	bachelor thesis	Thermal Feedback for Emotional Communication in Human-Robot Interaction
Pia Isabel Hammer	master thesis	Leveraging Machine Learning with Interactive Visualizations for Large Collected Traffic Detector Data
Jonathan Haudenschild	master thesis	A Visualization Tool for Improving Teaching Performance in Dynamic Educational Environments
Feng Chen	master thesis	Oil Spill Detective: Leveraging Machine Learning with Crowd Knowledge to Reduce Experts' Workload
Sandra Busch	bachelor thesis	Designing for Visualising Multiple Counterfactuals for XAI
Anh Dao Phuong	master thesis	LLM for Counterfactual Explanation Generation
	bachelor thesis	Write, Edit, Ripple: Interactive Inline Widgets for Fluid Story Development
Seyit Baran Ozdemir	bachelor thesis	Interactive Emotion Graph for Human-AI Collaborative Text Manipulation
Jinghuai Xiong	bachelor thesis	Image Snapshots for Creative Writing with Dynamic Widgets
Oliver Hans KÃ¼hle	bachelor thesis	Dynamic UI Element Generation for Rapid Prompting
Rudraksha Samdhani	bachelor thesis	Exploring Generative Models' Latent Spaces: Investigating the Influence of UIs on Human-AI Collaboration

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