Reliability
Research on reliable AI systems, fault tolerance, validation, monitoring, and dependable deployment in critical environments.
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People
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Alna Eldhose
Research group member
MSc student in Artificial Intelligence, currently focusing on deep learning research — specifically transformer architectures and...
Amirmohammad Pournaghshband
Research group member
I am a Master’s student in Artificial Intelligence at Brandenburg University of Technology (BTU) and a junior researcher at BTU. M...
Mahdi Taheri
Dr.
Mahdi Taheri received his B.Sc. degree in Electrical Engineering in 2017 and his M.Sc. degree in Electrical Engineering in 2021. H...
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AI-based Quality Control
Previous Work
2024–2025
Funder: Co-founded by EU Commission
This project focused on the development of efficient AI-driven quality control methodologies for industrial inspection and monitoring applications. The work investigated how deep n...
AI-DISCO
Collaborative Project
IHP · BTU Cottbus-Senftenberg +6 more
2026-2030
Funder: Federal Ministry of Research, Technology and Space (BMFTR)
* motivation Research-intensive microelectronics and its applications are drivers of progress, competition, and innovation across all industries. To accelerate the transfer of know...
CRASHLESS
Collaborative / External Project
TalTech
Funder: Estonian Research Council Grant
(Contributing research activities without direct consortium partnership involvement) CRASHLESS is a research initiative focused on the reliability and dependability of AI hardware...
EnTrustED (PARROT)
Previous Collaborative Work
TalTech
Funder: Estonian–French Collaborative Research Initiative
EnTrustED is a collaborative research effort between Estonian and French partners focusing on dependable and trustworthy embedded AI systems. The project investigates methodologies...
TAICHIP
Collaborative Project
TalTech · IHP +3 more
Funder: EU Horizon Europe Twinning Program
TAICHIP is an international collaboration initiative aimed at strengthening research excellence in trustworthy and sustainable AI chip design through collaboration between academic...
Publications
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- 20260 citations
REQAP: Resilient Weight Packing and Quantization for Edge DNN Acceleration
Mahdi Taheri, Samira Nazari, Mubassher Ansari, Ali Azarpeyvand, Mohsen Afsharchi, Maksim Jenihhin, and Christian Herglotz