About
Dr. Haya Brama is a researcher and lab manager at AAIRL, specializing in deep learning, machine learning, and AI applications for architectural and urban systems.
She completed her Ph.D. in neuroscience at Bar-Ilan University, where she studied biological neural networks using population-dynamics modeling and in-vivo electrophysiological recordings. Her postdoctoral research at Ariel University’s Department of Industrial Engineering and Management extended this computational foundation to artificial neural networks, cybersecurity applications, and metaheuristic search.
From 2000 to 2023, Haya served as Chief Scientific Officer at ARK, a startup developing AI-based tools for automated architectural design. This trajectory — from systems neuroscience to applied machine learning in the built environment — informs her current work connecting rigorous computational modeling with practical planning and design problems.
Projects
Education
- Post-Doctoral Studies Ariel University 2017 – 2022
- Ph.D. Bar-Ilan University 2011 – 2017
- B.A. Ben-Gurion University of the Negev 2007 – 2010
Employment
- Chief Scientific Officer Ark LTD 2020 – 2023
- Ariel University – Present
Papers
AI-Driven Recommendations for Strategic Urban Renewal
Towards a Robust Evaluation Framework for Generative Urban Design
Other Publications
Graph representation of the fixed route dial-a-ride problem
Evaluation of neural networks defenses and attacks using NDCG and reciprocal rank metrics
Heat and Blur: An Effective and Fast Defense Against Adversarial Examples
Hours of high-frequency stimulations reveal intracellular neuronal trends in vivo
Synchronization among neuronal pools without common inputs: in vivo study
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Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
Synthetic reverberating activity patterns embedded in networks of cortical neurons
Transient to zero-lag synchronization in excitable networks
Want to solve real urban problems with AI?
We welcome applications from researchers, designers, and practitioners from diverse disciplinary backgrounds. If you are interested in contributing to research at the intersection of AI, design, and urban studies, we encourage you to apply and join our team.