Dr. Mahdi Taheri

Publications: Google Scholar

Building 1C, Room 1.39

T: +49 (0) 355 69 ....
F: +49 (0) 355 69 2027
mahdi.taheri(at)b-tu.de

LinkedIn: https://www.linkedin.com/in/mahdi-taheri/

Open Topics:

Shape the Future of AI – Master’s Thesis Topics Available

Description:
Master’s thesis topics are available in several core areas of modern artificial intelligence and AI hardware, including:

• AI Security

• Hardware Acceleration for AI (FPGA, Softcore GPU/FGPU)

• Reliability of AI Systems

• Approximate Computing

• Neuromorphic (SNN) Computing

• Model Optimisation (Pruning, Quantisation, LLM/Transformer optimisation)

Depending on the selected topic, the work focuses on designing and optimising advanced AI models such as Transformers and LLMs for different applications, as well as developing energy-efficient, reliable, and secure hardware acceleration platforms. Research directions include hardware-aware optimisation, fault-tolerant architectures, approximate computing techniques, neuromorphic processing, and model compression strategies aligned with edge-AI and safety-critical requirements.

If you have your own topic, it is also negotiable.
Appointments can be arranged only via email request.