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Dr. Qader Dorosti – Experimental Particle and Astroparticle Physics
Permanent staff member and laboratory head in the Experimental Particle Physics Group at the University of Siegen, where I lead hardware-driven projects in particle/astroparticle physics and co-lead the Intelligent Hardware Lab (IHL) within the Color Meets Flavor Cluster of Excellence.
 | Dr. Qader Dorosti |
Research Focus
I work at the intersection of astroparticle physics, particle physics, detector instrumentation, and intelligent hardware. My research contributes to major international experiments such as the Pierre Auger Observatory and the ATLAS Inner Tracker (ITk) at CERN, with a strong focus on advanced detector technologies, real-time data processing, and embedded AI for next-generation experiments.
As co-leader of the Intelligent Hardware Lab (IHL), I help coordinate research on intelligent detector electronics across the Color Meets Flavor network. The IHL brings together expertise in FPGA programming, ASIC design, microelectronics, detector development, and AI/ML-based real-time processing from Bonn, TU Dortmund, FH Dortmund, Forschungszentrum Jülich, and Siegen.
Intelligent Hardware Lab Topics
The IHL provides a shared research and training platform for intelligent detector electronics and advanced data acquisition systems. Relevant research topics include AI-enabled FPGA hardware, hardware-aware machine learning, low-latency processing for detector applications, intelligent ASIC architectures, in-memory computing, programmable eFPGA fabrics, embedded microcontroller cores, and the connection of microelectronics expertise with future detector systems.
Recent Publication Highlight
Qader Dorosti, "AI-enhanced self-triggering for extensive air showers: performance and FPGA feasibility", JINST 20 (2025) P10010. [DOI link]
This work introduces a novel FPGA-based AI trigger concept for real-time detection of extensive air showers, combining deep learning with embedded hardware design for next-generation astroparticle experiments.
Fields of Activity
- Ultra-high-energy cosmic rays and extensive air showers
- Radio interferometric air shower detection
- Geophysical detection of high-energy processes using radio techniques
- Pixel detector module development for the ATLAS ITk upgrade
- Advanced readout systems and FPGA-based trigger logic
- AI-accelerated signal processing for real-time event identification
- AI-enabled FPGA hardware for detector systems
- Hardware-aware implementation of machine learning algorithms
- Low-latency real-time data processing for detector applications
- Intelligent detector electronics and advanced data acquisition systems
- Cross-institutional research and training within the Intelligent Hardware Lab
Special Teaching Offers
- Detector Physics
- FPGA Programming with VHDL
- Electronic Laboratory Course
- Intelligent detector hardware and real-time AI/ML applications
Interested in joining?
Bachelor's and Master's thesis topics are available in detector development, FPGA programming, intelligent trigger systems, embedded AI/ML, and astroparticle instrumentation – feel free to get in touch!
Contact
Qader Dorosti
Emmy-Noether-Campus, Building A, Room A-113
University of Siegen
Phone: +49-271-740-3738
Contact: dorosti [at] hep.physik.uni-siegen [dot] de
Germany