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Behzad Shomali I'm currently pursuing a PhD at the University of Bonn with a focus on reasoning in large language models (LLMs), particularly in multilingual contexts. Over the years, I've worked across both academia and industry, gaining experience in research, applied machine learning, and effective collaboration. This has included publishing research papers, building machine learning applications, and collaborating across interdisciplinary teams. My Master's thesis at BMW Group focused on developing a probabilistic latency predictor for neural architecture search (NAS). Before that, at FEV Group in collaboration with RWTH Aachen University, I worked on building LLM-based AI assistants for coding environments. Earlier in my career, during my time at the Max Planck Institute, I was involved in analyzing high-dimensional scans of the C. elegans brain. Email / Scholar / ResearchGate / LinkedIn / Github |
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📢 News08.2025 Our paper “HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS” got accepted at 38th IEEE International System-on-Chip Conference (SOCC 2025)! 08.2025 I started my PhD studies at the University of Bonn. 07.2025 I've officially graduated with a Master's degree in Computer Science from the University of Bonn. 03.2025 I submitted my Master's thesis at the University of Bonn, conducted at BMW: “High-Fidelity, Sample-Efficient Latency Predictor for Hybrid Hardware-Aware NAS” |
🔬 Featured Research |
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HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS
Shambhavi Balamuthu Sampath*, Behzad Shomali*, Nael Fasfous, Moritz Thoma, Judeson Anthony Fernando, Lukas Frickenstein, Pierpaolo Mori, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele 38th IEEE SOCC, 2025 |
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A modular multi-color fluorescence microscope for simultaneous tracking of
cellular activity and behavior
Euphrasie Ramahefarivo, Leonard Böger, Takkasila Saichol, Behzad Shomali, Luis Alvarez, Monika Scholz bioRxiv, 2025 |
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Generative Artificial Intelligence for Model-Based Graphical Programming in
Automotive Function Development
Abdelrahman Abdalla, Harsh Pandey, Behzad Shomali, Joschka Schaub, Arne Müller, Markus Eisenbarth, Jakob Andert SSRN, 2024 |
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Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of
2D and 3D Deep Convolutional Neural Networks
Emad Aghajanzadeh, Behzad Shomali, Diba Aminshahidi, Navid Ghassemi CLEF2021 Working Notes, 2021 |
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Source code and design borrowed from Jon Barron's and Walid Bousselham's websites. |