About

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.