Mahdi Dhaini

Last modified May 16

staff sebis people

Chair for Software Engineering of Business Information Systems (Sebis)

Department of Computer Science

School of CIT

Technical University of Munich
Boltzmannstraße 3
85748 Garching, Germany

E-Mail: mahdi.dhaini@tum.de
Phone: +49 89 289 17138
Room: 01.12.040

Office hours: by appointment

Thesis Supervision

If you would like to propose a topic related to my research interests or get in touch to find a suitable one, please reach out to me via e-mail with your CV and transcript of records attached.

Open Thesis Topics:

Please check our list of available thesis topics on the following page: Open Topics

Research Interests

Explainable AI in NLP
Natural Language Processing
Swarm Intelligence

Curriculum Vitae

Mahdi Dhaini joined the chair of Software Engineering for Business Information Systems at the Technical University of Munich in December 2021. He holds a master's degree in Computer Science from the Lebanese American University (LAU)

Teaching

Term	Level	Title	Type	Role
WS 23/24	Bachelor	Software Engineering for Business Applications - Bachelor's Course (SEBA Bachelor)	Lecture
WS 23/24	Master	SEBA Lab Course	Lab Course	Advisor
SS 23	Master	Natural Language Processing - Methods and Applications	Seminar	Advisor
SS 23	Master	Software Engineering for Business Applications (SEBA Master)	Lecture	Advisor
WS 22/23	Master	Advanced Topics of Software Engineering	Lecture	Organizer
SS 22	Master	Software Engineering for Business Applications (SEBA Master)	Lab Course	Advisor
SS 22	Master	Blockchain-based Systems Engineering	Lecture

Publications

2023
Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text (2023). In Proceedings of the Student Research Workshop associated with RANLP-2023, pages 1–11, Sep 4–6, 2023. Paper: https://doi.org/10.48550/arXiv.2309.07689
2021
	Dhaini, M., & Mansour, N. (2021). Squirrel search algorithm for portfolio optimization. Expert Systems with Applications, 178, 114968 DOI: https://doi.org/10.1016/j.eswa.2021.114968
	Dhaini, M., Jaber, M., Fakhereldine, A., Hamdan, S., & Haraty, R. A. (2021). Green Computing Approaches-A Survey. Informatica, 45(1).
	Jaber, M., Fakhereldine, A., Dhaini, M., & Haraty, R. A. (2021). A novel privacy-preserving healthcare information sharing platform using blockchain. In Security and Privacy Issues in IoT Devices and Sensor Networks (pp. 245-261). Academic Press.

Research Projects

GAIA-X 4 Production, After-Sales and PLC - Across Automated Driving

The Gaia-X project aims to build a federated data infrastructure for Europe. As part of the GAIA-X 4 Future Mobility project family, this project focuses on the secure implementation of digital twins for the automotive sector in the context of automated driving through an open distributed data ecosystem (ODDE). Spanning the entire product lifecycle, these twins are envisioned to improve product verification, validation, and update strategies. More here.