05 // SYSTEMS ENGINEERING, EDGE AI & PUBLICATIONS
ACADEMIC RESEARCH
Bridging classical deterministic control theory with neuromorphic and embedded machine intelligence. Research focuses on executing high-frequency adaptive control loops and Spiking Neural Networks (SNNs) on severely resource-constrained edge hardware.
Institutional & Doctoral Context
Universitatea Petrol-Gaze din Ploiești (UPG) — Domeniul Ingineria Sistemelor
Investigating event-driven Spiking Neural Networks (SNNs) and lightweight embedded intelligence for real-time adaptive trajectory tracking in autonomous Unmanned Aerial Vehicles (UAVs) under dynamic payload and wind disturbances.
Control Engineering, Embedded Systems & Applied Informatics Seminars
Designing practical laboratory curricula, guiding undergraduate engineering cohorts through microcontroller architectures, sensor fusion, and closed-loop automation systems.
Universitatea Tehnică din Cluj-Napoca (UTCN)
Master’s Dissertation: “Analiza și dezvoltarea de sisteme Smart Edge” — Comprehensive study on low-latency inference, distributed IoT node orchestration, and edge-cloud continuum efficiency.
Universitatea „Aurel Vlaicu” din Arad (UAV)
Bachelor’s Thesis: “Sistem de automatizare al unei fântâni arteziene utilizând energia verde” — PLC/microcontroller automation, photovoltaic integration, and hydraulic actuation control.
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