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

I am working together with Dr. Wolfgang Wörndl.

Theses Topics

In case you are interested in an open thesis topic, feel free to get in touch via mail! When applying for a topic please follow the guidelines from here.

Open Topics:

Got a thesis topic in mind that aligns with my research? Let me know!

Other theses and research topics are listed here

Completed:

  • [Master's Thesis]: Explaining Fairness in Multi-stakeholder Recommender Systems for Tourism

In Progress:

  • [Bachelor's Thesis]User Interfaces for Combining Multiple Items in Tourism Recommender Systems

Publications

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

2020

2019

2015

Tech Talks

2022

  • [Sep 2022]: Pycon Portugal 2022, Porto - Automating Mundane Activities using Python 
  • [Aug 2022]: Women Who Code (WWC) Data Science Track - Serving ML Models as REST API using TensorFlow Serving
  • [Jul 2022]: Women Who Code Tech Summit: BlockDataPy - Demystifying MLOps: Propelling Models from Prototypes to Production
  • [July2022]: Anita Borg's Indian Women in Computing (iWiC) - Volunteering in Tech
  • [Jun 2022]: WeAreDevelopers World Congress, Berlin - Build your Backend using FastAPI
  • [Jun 2022]: European Women in Technology, Amsterdam - Build your Backend using FastAPI
  • [May 2022]: Women Who Code Connect Recharge Conference - Build your Backend using FastAPI
  • [Apr 2022]: Google Developers Students Club (GDSC) Zurich - Build your Backend using FastAPI
A list of previous talks can be found here.