My technical expertise spans communication, distributed intelligence, and optimisation, and applied AI, combining research depth with applied experience in wireless systems and edge computing.
LTE and 5G cellular systems, PHY/MAC feature design and evaluation
Latency, reliability, and scheduling analysis in radio access networks (RAN), link adaptation
Compute-aware communication and communication–compute co-design,
Performance evaluation, finite block-length error analysis, channel modelling
Delay prediction, L1/L2 modelling, URLLC
Real-time inference offloading algorithms, edge-AI, edge-cloud continuum
Latency- and energy-optimised sensing, adaptive measurements, event detection
TinyML, and intelligent resource allocation, IoT, industrial edge
Reinforcement learning, online learning
Sequential decision algorithms, multi-armed bandits (MAB), prediction with expert advice (PEA),
Stochastic optimisation, and black-box optimisation
Probability theory, probabilistic modelling, Markov chains
Queueing theory, predictive analysis, and performance estimation
Estimation, signal processing, Fourier analysis.
MATLAB ~15 years Bachelor's, Master's, PhD
Python 6+ years scripting, PhD, hobby programming
Java 5 years Apple, Intel
Wolfram Mathematica 5 years PhD
C, C++ R Amateur Academic