AI at the Faculty of Engineering

The Faculty of Engineering at Tel Aviv University is home to leading national and international experts in artificial intelligence and machine learning, driving innovation across diverse domains. Faculty members are engaged in cutting-edge AI research and development, spanning deep learning, generative AI, natural language processing, computer vision, autonomous systems, AI-driven healthcare, and neuromorphic computing.  

Their work includes AI-powered optimization of complex systems, human-AI interaction, reinforcement learning for robotics, AI-driven cybersecurity, and large-scale data analytics. Leveraging state-of-the-art research laboratories and strong collaborations with industry leaders, the faculty is at the forefront of developing novel AI solutions for intelligent, efficient, and ethical decision-making, shaping both academic advancements and real-world applications in fields such as healthcare, finance, autonomous vehicles, and smart infrastructure.  

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Principal Investigators and Their Expertise

• Prof. Ran Gilad-Bachrach – Machine learning, deep learning architectures, explainability, privacy-preserving computation

• Prof. Raja Giryes – Deep learning, artificial intelligence, GPU optimization

• Dr. Ilai Bistritz – Automation in decision-making, multiagent learning, game theory, distributed control

• Prof. Eran Toch – Privacy engineering, human-AI interaction, analyzing human-ML interaction patterns

• Prof. Irad Ben-Gal – Machine learning, predictive modeling, data analytics

• Prof. Erez Shmueli – AI models for human behavior analysis, smartphone and wearable data analytics

• Prof. Roi Livni – Computational learning theory, stochastic convex optimization

• Dr. Amichai Painsky – Machine learning, data science, statistical methods, data analysis

• Prof. Tamir Bendory – Mathematical signal processing, data science, cryo-electron microscopy

• Prof. Wasim Huleihel – Theoretical aspects of machine learning, high-dimensional statistics

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AI-Related Centers and Institutes

1. AI & Data Science Center – Interdisciplinary AI research, industry collaborations, and AI applications across engineering, medicine, and business.

2. TAU Computing & Data Science Research Center – Large-scale computing, data-driven decision-making, AI in big data analytics.

3. Cyber Security and AI Research Center – AI-driven cybersecurity, adversarial machine learning, and privacy-preserving AI.

4. Human-AI Interaction Lab – Usable AI, decision support systems, explainability, and social AI.

5. Biomedical AI & Computational Medicine Lab – AI applications in healthcare, deep learning for medical imaging.

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Academic Courses in AI

AI & Machine Learning Courses at the Faculty of Engineering

• Introduction to Machine Learning

• Deep Learning and Neural Networks

• Reinforcement Learning and Multi-Agent AI

• Computational Learning Theory

• AI for Computer Vision and Image Processing

• Natural Language Processing and Text Analytics

• Ethics and Privacy in AI

• Optimization in AI and Data Science

• Human-AI Interaction and Decision Support Systems

• AI in Healthcare and Biomedical Engineering

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