2026

  • Machine Learning-Based Cardiovascular Risk Calculator for Non-Cardiac Surgery Journal
    Nour Al Khatib, Ali Chehab, Habib A. Dakik, Razane Tajeddine
    Open Heart
  • On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models Conference
    Ali Al Sahili, Ali Chehab, Razane Tajeddine
    IEEE Secure and Trustworthy Machine Learning Conference (SaTML), TUM, Germany

2025

  • Advanced Data-Driven Anomalies Detection and Diagnosis for Cyber-Physical Energy Systems Journal
    Hassan N. Noura, Zaid Allal, Ola Salman, Ali Chehab
    Annals of Telecommunications
  • Stacking Large Language Models is All You Need: A Case Study on Phishing URL Detection Journal
    Hawraa Nasser, Fouad Trad, Ali Chehab
    Journal of Artificial Intelligence and Soft Computing Research
  • Advanced Machine Learning in Smart Grids: An Overview Journal
    Hassan Noura, Jean Paul Yaacoub, Ola Salman, Ali Chehab
    Internet of Things and Cyber-Physical Systems
  • Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications Journal
    Fouad Trad, Ali Chehab
    ACM Transactions on Intelligent Systems and Technology
  • Streamlining Systematic Reviews with Large Language Models Using Prompt Engineering and Retrieval Augmented Generation Journal
    Fouad Trad, Ryan Yammine, Jana Charafeddine, Marlene Chakhtoura, Maya Rahme, Ghada El-Hajj Fuleihan, Ali Chehab
    BMC Medical Research Methodology
  • Parsimonious and Explainable Machine Learning for Predicting Mortality in Patients Post Hip Fracture Surgery Journal
    B. Isber, K. Hatoum, D. Obeid, M. Chahine, Fouad Trad, R. Yammine, Ghada El-Hajj Fuleihan, Ali Chehab
    Scientific Reports
  • Image Segmentation Framework for Detecting Adversarial Attacks for Autonomous Driving Cars Journal
    Ahmad Sattout, Ali Chehab, Ammar Mohanna, Razane Tajeddine
    Journal of Applied Sciences
  • Augmenting a Spine CT Scans Dataset Using VAEs, GANs, and Transfer Learning for Improved Detection of Vertebral Compression Fractures Journal
    Zeinal El Kojok, Hadi Al Khansa, Fouad Trad, Ali Chehab
    Computers in Biology and Medicine
  • KAG: A Scalable Knowledge-Augmented Generation System for Educational Content Management Conference
    Hadi Hasan, Ali Ismail, Ammar Mohanna, Ali Chehab
    International Conference on Foundation and Large Language Models (FLLM), Vienna, Austria
  • Chained Prompting for Better Systematic Review Search Strategies Conference
    Fatima Nasser, Fouad Trad, Ammar Mohanna, Ghada El-Hajj Fuleihan, Ali Chehab
    International Conference on Foundation and Large Language Models (FLLM), Vienna, Austria
  • Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection Conference
    Fuad Trad, Ali Chehab
    International Conference on Foundation and Large Language Models (FLLM), Vienna, Austria
  • CLASP: Cost-Optimized LLM-based Agentic System for Phishing Detection Conference
    Fuad Trad, Ali Chehab
    5th International Conference on Electrical, Computer and Energy Technologies (ICECET), Paris, France
  • OCSVM-Siamese Framework for Detecting Adversarial Attacks for Autonomous Driving Cars Conference
    Ahmad Sattout, Ali Chehab
    International Wireless Communications & Mobile Computing Conference (IWCMC), Abu Dhabi, UAE
  • Detecting Quishing Attacks with Machine Learning Techniques Through QR Code Analysis Conference
    Fuad Trad, Ali Chehab
    International Conference on Optimization and Learning (OLA), Dubai
  • Leveraging Large Language Models for Reducing False Positives and Prioritizing Alerts in Intrusion Detection Systems Conference
    Ali Mustafa, Fuad Trad, Ali Chehab
    Advanced Information Networking and Applications (AINA 2025), Springer
  • Image Features Reordering and Adjustment to Mitigate the Transferability Effect of Adversarial Attacks for Autonomous Driving Cars Conference
    Ahmad Sattout, Ali Chehab
    International Conference on AI in Information and Communication (ICAIIC), Fukuoka, Japan
  • Manual Prompt Engineering Is Not Dead: A Case Study on Large Language Models for Code Vulnerability Detection with DSPy Conference
    Fuad Trad, Ali Chehab
    International Conference on Data Science and Machine Learning Applications (CDMA), Riyadh, Saudi Arabia
  • Can LLMs Translate Cultural Nuance in Dialects? A Case Study on Lebanese Arabic Conference
    Silavana Yakhni, Ali Chehab
    International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE

2024

  • MLPhishChain: A Machine Learning-Based Blockchain Framework for Reducing Phishing Threats Journal
    Fouad Trad, Elie Nasr, Ali Chehab
    Frontiers in Blockchain
  • Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models Journal
    Fouad Trad, Ali Chehab
    Machine Learning and Knowledge Extraction (MAKE)
  • Performance of a Machine Learning Model in the Selection of Articles for Systematic Reviews Journal
    Y. Ryan, M. Chakhtoura, M. Rahme, S. Ajjour, Ali Chehab, Ghada El-Hajj Fuleihan
    Journal of Bone and Mineral Research
  • Advanced Anomaly Detection in Energy Control Systems Using Machine Learning and Feature Engineering Conference
    Fatema El Husseini, Hassan Noura, Ola Salman, Ali Chehab
    8th Cyber Security in Networking Conference (CSNet), Paris, France
  • Advanced Machine Learning Approaches for Zero-Day Attack Detection: A Review Conference
    Fatema El Husseini, Hassan Noura, Ola Salman, Ali Chehab
    8th Cyber Security in Networking Conference (CSNet), Paris, France
  • Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction Conference
    Fuad Trad, Ali Chehab
    International Conference on Foundation and Large Language Models (FLLM2024), Dubai, UAE
  • VCDissect: An Efficient Pipeline for Vertebral Column Patching in Medical Images Conference
    Ali Mustafa, Ali Chehab
    2nd PAARS Artificial Intelligence Forum, Dubai, UAE
  • Enhancing Network Security Through Deep Learning: Mitigating Feature Engineering and Zero-Day Attacks Conference
    Ibrahim El Didi, Fouad Trad, Ali Chehab
    The Fourth Intelligent Cybersecurity Conference (ICSC2024), Valencia, Spain
  • Machine Learning Model for Hip Fracture Mortality Prediction Using the NSQIP Database Conference
    Bassel Isber, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Fouad Trad, Ghada El-Hajj Fuleihan, Ali Chehab
    ASBMR 2024 Annual Meeting, Toronto, Canada
  • To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models Conference
    Fouad Trad, Ali Chehab
    International Conference on Intelligent Systems and Pattern Recognition (ISPR), Springer
  • SERS: Secure & Efficient Random and Symbol Linear Network Coding Schemes Conference
    Hassan Noura, Ola Salman, Ali Chehab
    International Wireless Communications & Mobile Computing Conference (IWCMC 2024), Ayia Napa, Cyprus

2023