Professional Experience

Research Leadership & European Cooperation

• MC Member, COST Action 6G-PHYSEC (Brussels, BE) | 2023-09 to 2027-09 As a Management Committee member for the 6G-PHYSEC action, I contribute to the European-wide effort to define the security architecture of 6G networks. My focus involves exploring Edge AI-empowered physical layer security for Non-Terrestrial Networks (NTN), specifically identifying threats and opportunities in emerging 6G environments.

• LUQCIA - Luxembourg Quantum Communication Infrastructure Lab | 2022-04 to 2027-04 Supported by the European Union Next Generation EU and the Luxembourg Department of Media, Connectivity, and Digital Policy (SMC), this contract focuses on the future of secure connectivity. Within this framework, I lead research on Trustworthy AI and risk-aware machine learning for quantum key distribution (QKD) networks, specifically targeting the detection of Trojan-horse attacks.

Postdoc Researcher | SnT – Interdisciplinary Centre for Security, Reliability and Trust 

April 2022 – Oct 2025 

Capability Building: Delivered hands-on tutorials on Quantum Key Distribution (QKD) technology and guided PhD students in multi-agent system design.

Optimization: Conducted research on resilient telecommunication protocols and advanced precoding for massive MIMO satellite systems.

AI Implementation: Led research into risk-aware machine learning for Trojan-Horse detection in secure networks.

Technical Consultant | Codelucida Inc. (Tucson, Arizona, US) 

June 2021 – April 2022 

Software Development: Developed Python scripts to automate the verification of FPGA configurations, streamlining hardware testing and improving accuracy.

System Optimization: Verified and optimized FPGA settings for high-performance error-correction decoders in communication systems.

Scientific Translation: Translated complex technical features into clear value propositions for stakeholders and investors.

Technical Consultant | neXtgen Agri International Ltd 

Nov 2020 – June 2021 

Scalable Workflows: Designed and implemented a horizontally scalable AIoT platform architecture to support expanding sensor networks.

Data Pipelines: Engineered efficient front-end and back-end communication for real-time data collection and predictive analytics.

Reliability: Improved system fault tolerance and performance under variable workloads in dynamic environments.

Vice Chancellor Research Fellow | Auckland University of Technology 

June 2018 – April 2020 

HPC & Cloud Training: Taught advanced courses on Virtual Machine (VM) consolidation and dynamic resource allocation using machine learning.

Mentorship: Guided graduate students in designing fault-tolerant AI systems and energy-aware scheduling systems for cloud services.

Applied AI: Delivered lectures on workload distribution strategies to enhance energy efficiency through real-time monitoring.

Postdoctoral Researcher | The University of Auckland 

Nov 2016 – June 2017 

Workshops & Labs: Delivered hands-on labs on scalable AIoT architecture and supervised student projects involving real-time data pipelines.

Expert Guidance: Instructed students on performance optimization and fault-tolerant designs for resource-constrained agricultural settings.

Academic Awards & Specialized Engineering Contracts

• AUT Vice-Chancellor's Doctoral Scholarship | 2018-08 to 2021-08 Awarded this prestigious scholarship for my doctoral research, which laid the foundation for my work in high-performance computing and data center optimization. This period included research into VM consolidation to reduce energy consumption and SLA violations in green cloud data centers.

• Error Control Coding for NAND Flash Controller | 2016-06 to 2017-06 Under this grant, I developed novel QC-LDPC decoder architectures and data packing techniques tailored for NAND Flash Controllers. This work emphasized the practical hardware implementation of error-resilient mechanisms to enhance data reliability in storage systems.

• Software Design for Low-Orbit Satellite Communication Receivers | 2008-01 to 2009-12 During this contract, I focused on the baseband receiver design for LEO satellite communications. This early research provided the groundwork for my current expertise in scalable HBF precoding and deep learning-integrated semantic inference models for Earth Observation (EO) satellite networks.

Technical Integration

Throughout these roles, I have maintained a "Hardware-to-Algorithm" approach, ensuring that sophisticated signal processing and security protocols are optimized for real-time performance on heterogeneous multi-processor environments and FPGA-based systems.