Dr. Ziad Elhajjaji
- َQualifications: Doctor of Philosophy
- Academic Rank: Lecturer
- Computer Engineering Department
- Faculty of Engineering
Roles
Since joining the University of Tripoli as a faculty member in the Department of Computer Engineering, Faculty of Engineering, I have been actively involved in various academic, teaching, and research activities. My responsibilities include teaching the Artificial Intelligence course (EC558), developing course materials, preparing lectures and examinations, assessing student performance, and supervising practical projects, with an emphasis on bridging theoretical concepts and real-world applications through Python programming and machine learning techniques.
I have also focused on enhancing students' skills in artificial intelligence, data analysis, and engineering problem-solving, while encouraging scientific research, innovation, and the development of intelligent applications to address real-world challenges. My responsibilities further include monitoring students' academic progress, providing academic guidance and mentorship, and contributing to the improvement of the learning environment through the integration of digital tools and modern teaching methodologies. These efforts aim to enhance the quality of engineering education and better prepare graduates to meet the evolving demands of the job market and emerging technological advancements.
Careers
2025 – Present | Faculty Member – Department of Computer Engineering, Faculty of Engineering, University of Tripoli, Libya.
Engaged in university teaching and academic research, with a focus on artificial intelligence and its applications in engineering and computer science. Responsibilities include teaching the Artificial Intelligence course (EC558/CE558), developing academic course materials, supervising student projects, assessing academic performance, and promoting research and innovation in machine learning and intelligent systems.
2025 – Present | Contributions to Engineering Education and Scientific Research.
Focused on strengthening the connection between academic education and practical applications, enhancing students' programming and artificial intelligence skills, and promoting the integration of emerging technologies into teaching and learning. These efforts aim to improve academic outcomes, advance the quality of engineering education, and keep pace with scientific and technological developments.
Research Interests
My research interests focus on Artificial Intelligence and Computer Engineering, particularly the development of intelligent systems and the application of machine learning and deep learning techniques to address real-world challenges, especially in healthcare, engineering, and emerging technologies.
My primary research interests include:
Artificial Intelligence & Machine Learning: Developing intelligent models and algorithms for prediction, classification, data analysis, and decision support.
Deep Learning & Neural Networks: Designing and developing deep learning architectures, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks.
AI in Healthcare: Applying artificial intelligence techniques to analyze physiological signals, detect health conditions at early stages, and support medical diagnosis and clinical decision-making.
Wearable Devices & Medical Internet of Things (IoMT): Developing intelligent wearable systems for physiological monitoring, continuous health data collection, and real-time analysis.
Biomedical Signal Processing: Analyzing electrocardiogram (ECG) and photoplethysmography (PPG) signals and extracting meaningful physiological features for health monitoring and assessment.
Intelligent & Embedded Systems: Integrating artificial intelligence algorithms with embedded systems and sensor technologies to develop efficient, intelligent applications.
Responsible AI & Data Governance: Investigating AI reliability, data security, privacy, ethical considerations, and governance frameworks to promote the responsible development and deployment of artificial intelligence systems.
Digital Transformation & Decision Support Systems: Exploring the application of artificial intelligence and data analytics to enhance organizational efficiency, improve decision-making processes, and advance digital services.
External Activities
External Activities
Minister of State for Digital Economy and Artificial Intelligence – Government of National Unity, Libya (March 2026 – Present).
Leading and coordinating national efforts in digital economy and artificial intelligence, overseeing the development and launch of Libya’s National Artificial Intelligence Strategy 2026–2030, advancing AI governance and national policy frameworks, and promoting capacity building, scientific research, and innovation. Responsibilities also include strengthening cooperation with academic institutions, international organizations, and leading technology companies.
Participation in International Scientific Conferences and Events
Active participation in international scientific and technical conferences focusing on artificial intelligence and biomedical engineering, including the IEEE Body Sensor Networks (BSN) conferences in 2023 and 2024, presenting research findings on wearable technologies and biomedical signal analysis using artificial intelligence techniques.
International Academic and Scientific Collaboration
Contributing to the development of partnerships with international universities, research institutions, and technology companies, supporting knowledge transfer, digital skills development, and the advancement of artificial intelligence applications.
Organization and Support of National Artificial Intelligence Initiatives
Overseeing the organization of the Libya Artificial Intelligence Forum (Ai4LY 2026) and supporting specialized training programs, including the Samsung Innovation Campus. Promoting youth engagement, student participation, technological innovation, and entrepreneurship to strengthen Libya’s artificial intelligence ecosystem.
