Chen Hajaj
I am an Associate Professor and Head of the Data Science Track at Ariel University — working at the intersection of AI theory and real-world impact. I also serve as Head of the Faculty Review Board and NVIDIA University Ambassador.
News
Leadership & Impact
Senior Faculty & Administrative Leadership
NVIDIA University Ambassador (2024–present) — Leading GPU computing and AI education initiatives at Ariel University.
Head of Faculty Review Board (2021–present) — Directing research quality and ethical standards across the Faculty of Engineering.
Head of Data Science Track (2021–present) — Overseeing curriculum development, student programs, and industry partnerships.
Director, Data Science & AI Research Center (2019–2024) — Founded and directed a research center that secured over $1.2M in competitive funding, produced 4 patents, and established national collaborations with the Israel Innovation Authority and the Ministry of Innovation.
Postdoctoral Research
Developed machine learning algorithms for cybersecurity and network traffic analysis. Served on the Postdoc Association Committee, contributing to research policy and mentoring programs.
Ph.D. in Computer Science
Specialized in game theory and mechanism design, developing theoretical models and algorithms for strategic decision-making in competitive and cooperative environments.
Research Focus
Multimodal Learning
Fusing text, vision, audio, and structured data for tasks like item similarity, emotion recognition, and cross-modal retrieval.
Cybersecurity & Network Analysis
Classifying encrypted traffic, detecting anomalies, and building ML-based intrusion detection systems without breaking encryption.
Medical Data Science
Applying machine learning to clinical data for ICU nutrition optimization, patient outcome prediction, and medical decision support.
eCommerce & Recommender Systems
Designing intelligent recommendation engines, pricing strategies, and incentive-aware models that improve user experience and revenue.
Design Spaces
Exploring human factors and cognitive dimensions in interface design, virtual environments, and constructivist learning systems.
Human Behavior Analysis
Modeling strategic and social behavior using computational tools — from multi-agent simulations to sentiment and emotion analysis.
Join Our Lab
We welcome motivated graduate students passionate about advancing AI research. Our lab offers a collaborative environment, access to cutting-edge projects, strong industry connections, and a track record of high-impact publications.