BSc. Electronics Engineering (grad: 2004)
MSc. Control Engineering (grad: 2009)
PhD. Mechatronics Engineering (Robotic and AI) (thesis stage – exp 2025)
Research Areas
Advanced Artificial Intelligence: Hyperintelligence (DL, LNN (Liquid Neural Networks), CNN-RNN-LSTM int., GAN (generative adversarial networks), SNN (Spiking Neural Networks), XB-G (XBoosting) , TFT (temporal fusion transformers) , Support vector machines)
Intelligent Robotics : AI enabled Robotics and Mechatronic Systems, exoskeleton
Neuroscience, Neurorobotics
Multi-variant Time Series, Deep-searching optimization (Intuitive Decision Making at Uncertainty)
Human-Robot Interaction, Robot Robot Interaction (including few Roboethics) (AI to AI learning), swarm intelligence
Soft robotics – soft materials
Sensor Fusion at Edge computing (including AIoT)
Neuromorphic Computing (including Spiking Neural Networks – research)
Quantum Neural Networks (research)
Industry – Professional
Intelligent (autonomous) vehicles and Robots
Digital Twins of standalone and
Smart Cities
Intelligent Transportation (Aviation-Airports and UAM)
SIBOR (SuperIntegrated BOdy Research) – Future Human, Human 2.0
Academic PhD Dissertation: cognitive artificial intelligence for exoskeleton adaptive balancing.