Chen Hajaj

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Chen Hajaj

Chen Hajaj

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Ariel University

$1.2M+
in Research Grants
4
Patents
6
Conferences Chaired
50+
Publications
17
Current Students
20
Alumni

I am an Associate Professor and Head of the Data Science Track at Ariel University, where I lead research and education at the intersection of artificial intelligence theory and real-world deployment. I also serve as Head of the Faculty Review Board and NVIDIA University Ambassador.

My work focuses on translating AI into systems with measurable impact — spanning encrypted traffic analysis, medical decision support, and intelligent recommendation at scale. I have secured over $1.2 million in competitive funding and hold 4 patents in healthcare diagnostics, cybersecurity, and human behavior prediction.

I bridge academia and industry through partnerships with the Israel Innovation Authority, the Ministry of Innovation, Science and Technology, and leading technology companies.

Research Areas AI · Cybersecurity · Healthcare · eCommerce
Industry Partners Israeli Innovation Authority · Ministry of Innovation, Science and Technology · Tech companies
Role NVIDIA University Ambassador

Research Focus

My research bridges theoretical foundations with practical applications, developing innovative solutions that address real-world challenges across diverse domains, with a commitment to advancing knowledge while creating tangible value for industry and society.

Cybersecurity & Network Monitoring

Medical Data Science

eCommerce

Design Spaces

Human Behavior Analysis

📰 News

Apr 30, 2026 One paper accepted at IEEE ICC 2026 in Glasgow: Uncovering Microservice Faults (Udi Aharon et al.). 🎉
Mar 14, 2026 Paper accepted at AAMAS 2026: Cleaner Adversarial CAPTCHAs: Intelligent Targets and Precise Noise for Usable Security (Meir Litman & Chen Hajaj). 🔐
Jan 11, 2026 New paper published in Computer Networks: Real-Time Network Security: Integrating ANN and Dynamic Graph-Based Clustering — doi:10.1016/j.comnet.2026.112016. 📡
Jan 9, 2026 Two papers presented at IEEE CCNC 2026 in Las Vegas: QoE Prediction for Call of Duty and Cloudy with a Chance of Anomalies (Dynamic GNN for cloud anomaly detection). 🎮🌩️
Sep 14, 2025 New paper in IEEE Access: Leveraging OSINT for Advanced Proactive Cybersecurity: Strategies and Solutions — doi:10.1109/ACCESS.2025.3603868. 🕵️

Join Our Lab

We welcome motivated graduate students who are passionate about pushing the boundaries of AI research. Our lab provides a collaborative environment, access to cutting-edge projects, and opportunities to contribute to high-impact publications while working on meaningful problems at the intersection of theory and practice.

Collaborative Environment Industry Partnerships Top-tier Publications International Exposure

Leadership & Impact

Senior Faculty & Administrative Leadership

NVIDIA University Ambassador (2024-present) • Leading GPU computing and AI education initiatives.

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 more than $1.2M in competitive funding, resulted in 4 patents, and established collaborations with the Israel Innovation Authority and the Ministry of Innovation.

Ariel University • 2018-Present

Postdoctoral Research

Developed machine learning algorithms for cybersecurity and network monitoring. Served on the Postdoc Association Committee, contributing to research policy and mentoring programs.

Vanderbilt University • 2016-2018

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.

Bar-Ilan University • 2010-2016

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