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.

Teaching

SS 2023: Lab Course: Hands-on Recommender Systems
WS 22/23: Master Seminar: Topics in Recommender Systems

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

Ashmi Banerjee, Gourab K Patro, Linus W. Dietz, Abhijnan Chakraborty, Analyzing ‘Near Me’ Services: Potential for Exposure Bias in Location-based Retrieval, International Workshop on Fair and Interpretable Learning Algorithms (FILA 2020) in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2020)
PDF | BibTeX
Gourab K Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly, Towards Sustainability and Safety: Designing Local Recommendations for Post-pandemic World, 14th ACM Conference on Recommender Systems (RecSys 2020)
PDF | BibTeX

2019

Gourab K Patro, Ashmi Banerjee, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty, Can Location-Based Searches Create Exposure Bias? 1st Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES-2019) in conjunction with The Web Conference (WWW) 2019.
Anindita Kundu, Shaunak Mukherjee, Ashmi Banerjee, Subhashis Majumder, End-User Position Driven Small Base Station Placement for Indoor Communication, 6th International Doctoral Symposium on Applied Computation and Security Systems (ACSS-2019)
PDF | BibTeX

2015

Ashmi Banerjee, Shaunak Mukherjee, Somjit Datta, Subhashis Majumder, Computational Search for Gaussian Perfect Integers, IEEE International Conference on Control, Communication and Computing (ICCC-2015)
PDF | BibTeX

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