The lab

The Adaptive AI Lab at Ariel University has 9 PhD and 11 MSc students. 3 PhD students and 7 thesis MSc students have graduated, and 12 non-thesis MSc students completed their final projects here.

129 co-authors

Everyone Chen has published with. Bigger and closer means more papers together; a white ring marks a current or former student of the lab.

Most frequent co-authors: Amit Dvir (37), Ran Dubin (24), Anat Goldstein (15), Yevgeniy Vorobeychik (12), David Sarne (10), Orit Raphaeli (9).

Current students

PhD students 9

  • Udi Aharon

    API Security

  • Aviad Levi

    Auction Theory and Machine Learning

  • Omri Arbiv

    Medical Data Science

  • Natan Dillbary

    Time and Spectral Time Series Analysis

  • Bar Vinder

    Medical Data Analysis

  • Zohar Shimhon

    Sampling-based Classification

  • Tanya Zhelezni

    Chatbots for Funnel Optimization

  • Ohad Nir

    Learning Approaches for the Chasing Repairman Problem

  • Eden Shmuel

    Using Machine Learning to Personalize Nutritional Treatment

MSc students 11

  • Rafael Ben Lulu

    API Security

  • Shaked Michael

    Access-based Encrypted Traffic Classification

  • Dvir Opatowsky

    QoE Prediction for FPS Online Games

  • Ihab Hino

    Dynamic Multimodal Attribute Completion

  • Amit Stein

    Multimodal Recommendation for User and Item Cold Start

  • Eylon Yehiel

    Multi-Modal Learning for Product Attributes

  • Liav Cohen

    Few-shot ANN for Low-latency Classification in O-RAN Networks

    Non-thesis MSc, final project, Afeka College

  • Stas Susha

    QUIC-based Quantum Traffic Classification

    Holon Institute of Technology

  • Eylon Katan

    Anomaly Detection on PQC

  • Idan Buzaglo

    Early Detection of Myopia

  • Yarin Amar

    Real time cognitive feedback system in design education

Join the lab

We take PhD and MSc students who want to build machine learning that holds up after deployment. These topics are open now. Supervision and funding depend on the project, so write first and we will talk it through.

  • Adaptive encrypted-traffic AI Retrieval, out-of-distribution detection, QUIC and post-quantum traffic.
  • Adversarial and trustworthy ML Robust models for security, healthcare and multimodal systems.
  • Clinical machine learning Decision support, personalization, privacy and responsible validation.
  • Multimodal retrieval Vision-language representations for products, places and recommendations.
  • AI and mechanism design Incentives, marketplaces, teams and resource allocation.
Email Chen about a topic See the research lines

Alumni

PhD graduates 3

Graduated Name Thesis topic
2026 Yehonatan Zion Generative AI
2022 Or Anidjar Speaker Diarization
2022 Harel Berger APK Security

MSc graduates (thesis) 7

Graduated Name Thesis topic
2026 Yona Elbar Pipeline Optimization of Multimodal Systems
2024 Adi Lichi Encrypted Traffic Classification
2023 Porat Aharon Image-based Traffic Classification
2023 Bar Vinder A Method for Evaluating the Performance and Design Optimizing of a Miniature Heart Pump
2023 Ofir YosefBar-Ilan University Detecting Parallel Covert Data Transmission Channel in Video Conferencing using Machine Learning
2022 Ofek Bader An Open-Source Framework for Encrypted Internet and Malicious Traffic Classification
2020 Nitay Hason URL Malware

MSc final projects (non-thesis) 12

Completed Name Project topic
2025 Amit TzaharAfeka College Image Restoration in Adversarially Encrypted Medical Images
2025 Stav Gal ElhadifAfeka College LLMs & Explainability
2024 Bar Ben DavidAfeka College Speech Emotion Recognition using Computer Vision Methods
2024 Ben-Ron UdiAfeka College Image-based Time Series Prediction
2023 Chen ShienerAfeka College Reinforcement Learning
2023 Michael GudovskyAfeka College Adversarial Examples
2023 Nathanel GuinzburgAfeka College XAI and URL Classification
2022 Ariel Yechezkel ICU Mortality
2022 Tal Abed Machine Learning
2022 Rotem BarAfeka College Language-based Traffic Classification
2022 Pavel ShochetAfeka College Towards a Classification Model for the Detection of Anxiety & Depression in Twitter
2021 Eliran BaraiAfeka College Shared E-scooter Demand Prediction

Pre-PhD research students 3

Years Name Topic
2023-2024 Zafrir Avrahami OSINT for proactive cybersecurity
2022-2024 Omri Arbiv Medical Data Science (continued to PhD)
2020-2023 Meir Litman Adversarial CAPTCHAs

Former research assistants 9

Years Name Topic
2025 Elior Dahan Multimodal Learning
2025 Uri Iron LLMs
2024-2025 Roni Epstein Design Spaces, UTI early detection, Cancer detection
2022-2024 Shon Schori UTI early detection, Cancer detection, Emotions and AI
2021 Eyal Yahav COVID-19 Spread Prediction
2020-2021 Alon Trugman ICU Mortality
2020-2021 Elad Chen ICU Patient Monitoring
2019-2020 Idan Masuri Adversarial Coordination
2020 Segev Zilberstain E-Commerce