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Technische Universität München

Ashmi Banerjee, M.Sc.

Email:ashmi.banerjee[at]tum[dot]de
Office:01.05.053
Website:ashmibanerjee.com

Address:

 

TUM School of Computation, Information and Technoloy
Department of Computer Engineering
Chair of Connected Mobility (|11)
Boltzmannstr. 3
85748 Garching

I am a Ph.D. candidate at the Chair of Connected Mobility at the Technical University of Munich (TUM), from where I also obtained my M.Sc. in Informatics in 2019. 

Research Interests

  • Multistakeholder Recommender Systems
  • Human-Computer Interaction
  • Data Mining, Information Retrieval
  • Machine Learning
  • Fairness & Responsible Recommendations

I am working together with Dr. Wolfgang Wörndl.

Teaching

Theses Topics

When applying for a topic please follow the guidelines from here.
The thesis students starter pack for (potential) students supervised by me can be found here.

Legend: [BT]= Bachelor Thesis; [MT] = Master Thesis; [GR] = Guided Research; [AP] = Application Project

No theses available at the moment. Please check again later!
Other theses and research topics are listed here. 

Please use your @tum.de or @mytum.de or similar emails for any communication. Otherwise, your emails might end up in spam and never get answered!

In Progress

  • [MT] Nudging Towards Responsible Tourism using a Knowledge Graph-Enhanced Conversational Recommender System
  • [MT] Leveraging Large Language Models to Enhance Personalization in Conversational Recommender Systems for Tourism

Completed

  • [MT] Explaining Fairness in Multi-stakeholder Recommender Systems for Tourism
  • [BT] User Interfaces for Combining Multiple Items in Tourism Recommender Systems
  • [MT] An analysis of long-distance train delays and impacted stations in Germany
  • [BT] Exploring Data-Driven Approaches for Train Delay Prediction using Multivariate Models and Machine Learning Techniques
  • [GR] Multi-objective Optimization for Fairness in Tourism Recommender Systems
  • [MT] User Traits and Responsible Travel Decision-Making in Recommender Systems
  • [MT] Evaluating User Decision-Making in Responsible Tourism: A Green Destination Recommender
  • [MT] Exploring Substitution Recommendations: A Literature Review and Analysis
  • [BT/MT] Design and Development of a Web Frontend for Sustainable Hike Recommendations
  • [GR] Analyzing Responsibility Features in Tourism
  • [BT] Analyzing Mobility Trends for Travel Behavior, Preferences, and Sustainability Concerns
  • [MT] Dynamic Playlist Generation for Hikers: An Intelligent Recommender System Using Trail Characteristics and Contextual Data
  • [GR] Enhancing Sustainable Travel Recommendations Using Retrieval-Augmented Generation
  • [MT] Exploring Alternative Travel Destinations: A Metric-Constrained Approach Based on City Interest Profiles
  • [BT] Exploring the Applicability and Implications of Large Language Models for Tourism Recommendation
  • [MT] Exploring Trade-offs in Travel Planning: Prioritizing Sustainability While Managing Cost and Attractiveness through User-Centric Design
  • [MT] Gamification for Sustainable City Trip Planning
  • [BT] Balancing Sustainability and Experience: Analyzing User Trade-offs in Digital Trip Planning Tools
  • [BT] An Exploration of Hybrid Retrieval Augmented Generation in Conversational Tourism Recommender Systems
  • [MT] Balancing Sustainability, Cost, and Appeal in Tourism Recommender Systems: A User-Centric Approach
  • [BT] Analyzing the Effects of Visualization Strategies on Sustainable Decision-Making in Tourism Recommender Systems

Recent Publications

An updated list of publications can be found on Google Scholar.

2025

2024

2023

2020

Miscellaneous

  • [Since 2023] Google Developer Expert (GDE) in ML
  • [Since 2023] Organisation Committee, ACM Women in RecSys Chapter
  • [Since 2022] Global Ambassador, Google Women Techmakers
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