Dr. Ayman Khalil is an assistant professor of Practice in the Department of Information Technology and Operations Management (ITOM) at the Adnan Kassar School of Business (AKSOB), Lebanese American University (LAU). He brings nearly two decades of combined academic, research and industry experience in artificial intelligence (AI), digital transformation and next-generation communication systems.
Dr. Khalil earned his PhD in Computer and Communication Engineering from the National Institute of Applied Sciences (INSA), Rennes, France, where his research focused on cross-layer resource allocation for ultra-wideband (UWB) systems. He later served as a research engineer at the Institute of Electronics and Telecommunications of Rennes (IETR), contributing to high-impact European projects such as OMEGA.
At LAU, Dr. Khalil teaches across undergraduate and graduate programs in:
- Artificial Intelligence and Machine Learning
- Data Analytics
- Data Engineering
- Methodology and Model Building
- Data-Driven Decision Making
He has also contributed to curriculum development in AI, digital transformation and business analytics, while supervising research projects on AI, IoT, smart cities and emerging technologies.
Research interests
Dr. Khalil’s research lies at the intersection of AI, next-generation networks and green ICT. His specific interests include:
AI and emerging technologies: Business intelligence, big data, cloud, IoT and 5G and beyond
Next generation wireless networks: OFDM systems, QoS support and optimization schemes
Heterogeneous networks: Scheduling, multiple access schemes, mesh networking, network coding
Cross-layer design: Resource allocation and spectrum sharing under heterogeneous constraints
Cognitive radio: Interference mitigation and UWB systems
Selected publications
Dr. Khalil has published widely in leading journals and conferences, advancing research in AI, green IoT and intelligent communication systems. Selected works include:
Z. Ezzedine, A. Khalil, B. Zeddini and H. Ouslimani, “A survey on green enablers: Challenging study for AI-based 5G energy efficiency network,” Sensors, 2024.
A. Khalil and B. Zeddini, “Cross-layer optimization for enhanced IoT connectivity: A novel routing protocol for opportunistic networks,” Future Internet, 2024.
A. Khalil and J.-F. Hélard, “Energy-efficient cross-layer resource allocation scheme for OFDMA systems,” Annals of Telecommunications, Springer, 2020.
M. Zalghout, A. Khalil, S. AbdulNabi, M. Crussière and J.-F. Hélard, “Context-aware and priority-based user association and resource allocation in heterogeneous wireless networks,” Computer Networks, Elsevier, 2018.
Professional engagement
Alongside his academic role, Dr. Khalil works as a consultant and trainer on AI and digital transformation, collaborating with ministries, banks and international organizations in the MENA region, Europe and the Gulf. He has delivered training programs on AI, smart cities, generative AI and cybersecurity for clients such as Banque Libano-Française, SNA Insurance, Duke Global (Qatar) and the Manchester Innovation and Technology Academy (UAE).
He is a member of the Order of Engineers, Beirut, and serves as a reviewer, technical program committee member and session chair at leading international conferences.
Fluent in Arabic, English and French, Dr. Khalil is committed to advancing ethical and responsible applications of AI, while empowering students and organizations to embrace the opportunities of digital transformation.