Edge-AI and Distributed Intelligence
Edge-AI and distributed intelligence systems, edge–cloud continuum
Real-time inference offloading and adaptive compute placement
Latency- and energy-optimised sensing, adaptive measurements, event detection
TinyML, intelligent resource allocation, industrial IoT and edge systems
Wireless Communication and Networking
LTE and 5G cellular systems, PHY/MAC development and verification
Expertise with Random Access feature
RAN latency, reliability and scheduling analysis, URLLC
Link adaptation, HARQ modelling, delay prediction
Compute-aware communication and communication–compute co-design
Channel modelling, finite block-length error analysis, performance evaluation
L1/L2 system modelling and analysis
Data, Learning, and Optimisation
Online learning
Sequential decision-making algorithms: Multi-armed bandits (MAB) and prediction with expert advice (PEA)
Stochastic optimisation and black-box optimisation
Mathematics and Statistics
Probability theory and probabilistic modelling
Markov chains and queueing theory
Predictive analysis, statistical modelling
Estimation theory and signal processing
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