Summary
Brahim Hamadicharef is a research scientist with 11+ years building physics-aware AI, embedded systems, and hardware-accelerated security solutions from Singapore’s IHPC and A*STAR labs. His work spans theory-guided machine learning for catalyst performance, RAG-enabled LLMs for chemical research, predictive maintenance for green data centers, and FPGA exploration for fully homomorphic encryption—bridging deep research with industrial tech transfer and multiple technology disclosures. He began in audio and biomedical signal processing (PhD in Audio Signal Processing) and has repeatedly combined signal-processing rigor with practical embedded and GPU/FPGA engineering across thermal imaging, NVM communications, robotics, and IoT. Notable outcomes include peer-reviewed catalyst modelling publications and leadership of packing-optimization and AGV fleet projects that moved algorithms into deployable systems. Colleagues rely on him for multidisciplinary problem framing that connects physics models, ML, and systems-level constraints. He is comfortable turning laboratory prototypes into scalable solutions while keeping one foot in low-level toolchains and the other in high-impact applied research.
11 years of coding experience
14 years of employment as a software developer
PhD, Audio Signal Processing, PhD, Audio Signal Processing at University of Plymouth
French, English, Spanish