Programming & AI/ML: Python, MATLAB, Machine Learning, Deep Learning, and DL-based system-level modelling.
Experimental & Data Skills: Data handling, preprocessing, and analytics using MATLAB.
Simulation & Modelling: Algorithm development & Optimisation, Experimental design, & Evaluation.
Tools: Mininet, Pox Controller, OpenFlow Switch, LaTeX, Overleaf, Origin, Wireshark, Excel, and MS Office.
Research & Professional Skills: End-to-End Research Project Management, Grant Writing & Proposal Development.
Teaching & Programme Delivery: AFHEA-accredited lab demonstration, PGTA/FST certified, Student Supervision.
Operating Systems: Windows, Linux (Ubuntu - 18.04)
Qualities and Extra Skills:
Detail-oriented and organized, skilled in scientific documentation and research reporting.
Innovative thinker with strong problem-solving and analytical skills, especially in wireless communications.
Confident in teamwork and leadership roles with experience as a teaching assistant and lab supervisor.