AI & SE

Integration Lab

The AI & SE Integration Lab

Our lab seeks new synergies between software engineering and artificial intelligence to improve their interoperability and contribute to both.

The Team

Achiya Elyasaf

Principal Investigator

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Gera Weiss

Co-Principal Investigator

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Roy Polianski

Ph.D. student

Behavioral programs evolution from scratch

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Shimon Regev

Ph.D. student

Developing evolutionary algorithms for multi-objective games

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Tom Yaacov

Ph.D. student

Model-based approaches toward improved software engineering practices

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Eliad Shem-Tov

Ph.D. student

Data-Driven Algorithms and Tools for Improving Evolutionary Algorithms

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Ron Ziskind

M.Sc. student

Designless Programming - Translating requirements into code using LLMs

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Ron Tohar

M.Sc. student

BP-based feature construction for deep reinforcement learning

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Adi Paz

M.Sc. student

Compositional verification for context-oriented behavioral programming

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Benny Skidanov

M.Sc. student

Explaining human actions by projecting AI-based explanations on BP models

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Itai Tzruia

M.Sc. student

EC-Kity developer.
Improving Evolutionary Algorithms runtime using machine learning

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Tomer Halperin

M.Sc. student

EC-Kity developer.
Improving Evolutionary Algorithms runtime using machine learning

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Meir Maor Biton

M.Sc. student

BP-Flow: A Flow-Based Behavioral Programming Language

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Ron Shefland

M.Sc. student

EC-Kity developer.
Behavioral programs evolution from scratch

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Alumni

Irina Maliukov

M.Sc. student

Evolving Assembly Code in an Adversarial Environment

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