Anum Afzal

Faculty of Informatics
Chair of Informatics 19
Software Engineering for Business Information Systems (sebis)    

Technical University of Munich
Boltzmannstraße 3
85748 Garching, Germany

anum.afzal [at] tum.de

Room FMI 01.12.055

Office hours: by appointment

I do not supervise industry thesis.

Open Positions:

Open topics for Guided Research / Thesis:

I have an open master thesis position in the area of domain-specific text summarization using LLMs. If you are interested, please send me your CV and transcript of records to anum.afzal(at)tum.de with subject "Master thesis position domain-specific summarization" 

Good to have: NLP/ML background, experience with LLM, Python, experience with huggingface, pyTorch, etc

Anum is Ph.D. candidate at the Technical University of Munich with a focus on topics such as Efficient Transformers and Domain Adaptation for Natural Language Generation. She has been a researcher at the chair for Software Engineering of Business Information Systems (sebis) at the Technical University of Munich (TUM) since September 2021. She holds a master's degree in Computer Science from TUM and wrote her master thesis about Topic Modeling for Employee Objectives using Word Embeddings with Merck Group.

Additionally, She is also a part of the Industry on Campus initiative and support SAP @ TUM Collaboration Lab. Apart from the theoretical research, she works with the industry partners such as SAP and Holtzbrink Publishing Group. She has also worked as a research assistant at chair of Information systems at TUM and also did a student internship at Munich Re during her Master's.

Her research intesrests include but are not limited to applications of Text Generation in Natural Language Processing. At Sebis, she is further responsible for setting up the SAP/TUM collaboration and also works with SAP on research project(s) as a part of her PhD. She also works with Holtzbrinck Publishing Group on a Domain-specifc Text Summarization project.