1. Who Made That Decision?
Avital SHULNER-TAL, Software Engineering / Information Systems Engineering
My research focuses on Fairness, Accountability, Transparency, and Ethics (FATE) in artificial intelligence, with a particular emphasis on explainable AI (XAI) and human-computer interaction (HCI). This inherently multidisciplinary domain combines methodologies from computer science and machine learning with human-centered disciplines such as psychology, cognitive science, and legal and policy studies, aiming to enhance the interpretability, usability, and trustworthiness of AI systems.
2. Measurement and Analysis of Concrete Lateral Pressure on Vertical Formwork Using Geotechnical Tools: Laboratory Experiment
Fadi SHAHIN, Civil Engineering
My research spans several areas in construction engineering, with a primary focus on safety, analyzing accident root causes and developing safety climate models. Additional work includes optimizing concrete formwork systems using computational methods and analyzing fresh concrete pressure through advanced experiments. The goal is to improve safety, efficiency, and cost-effectiveness in construction.
3. Competency Based Automatic Pedagogy in Computer Science Education: The Case of Generative AI
Yael EREZ, Electrical and Electronic Engineering
I blend my understanding of signal processing and software engineering with the dynamic world of education in science and technology. My goal is to contribute in meaningful ways, be it through research, pedagogy, or institutional policy development. My ambition is to create methodologies that will not only streamline the learning process but also provide a roadmap for educators to craft curriculum that is future-ready and adaptive to each learner’s unique competencies.
4. Solving multi-objective robust optimization problems via Stakelberg-based game model
Adham SALIH and Erella EISENSTADT MATALON, Mechanical Engineering
A.S. My research focuses on nature-inspired computational intelligence methods, such as evolutionary algorithms and neural networks, for solving complex engineering problems. I am particularly interested in neuroevolution, control, evolutionary robotics, and multi- and many-objective optimization, aiming to advance intelligent systems in dynamic and uncertain environments.
E. E. M. My research focuses on multi-objective optimization, evolutionary algorithms, and multi-objective games for engineering applications. I develop co-evolutionary and game-theoretic models to support rational decision-making in complex systems. These methods are applied to problems in control, vibration, and robust engineering design under uncertainty.
5. Solving multi-objective robust optimization problems via Stakelberg-based game model
Avishag PELOSI, Mechanical Engineering
Brain-Computer Interfaces (BCIs) enable device control through mental activity, yet many users face “BCI illiteracy”, the difficulty producing decodable brain signals. Motor Imagery (MI) is a promising approach for supporting individuals with motor disabilities, but accuracy is highly variable, limiting real-time implementation. Our research aims at developing a real-time BCI and explores the neurological phenomena involved in sustained intention and meditation, and their influence on performance.
6. Obstacles mapping and movement control while using mobility assistive devices
Navit ROTH, Mechanical Engineering
People with impaired ambulation may require assistive devices. Obstacles are a risk factor for falls and may appear in different places on the path and have diverse characteristics. The current research focuses on exploring the combined visual and biomechanical aspects while using mobility assistive devices in an obstacle environment. In the first current phase, a data collection system has been characterized, built, and tested including spatial obstacle path and an eye tracking system.
7. A System that Sees Your Needs
Julia SHEIDIN, Software Engineering / Information Systems Engineering
My research focuses on human-computer interaction, specifically aimed at improving technology accessibility for a diverse range of users. This involves developing and implementing information and communication technology (ICT) solutions tailored to different user needs. Achieving this goal requires interdisciplinary collaboration among researchers from various fields and institutions.
8. Metalanguage as an Interdisciplinary Classifier for Mathematics and Computer Science Fields with AI Integration
Elena KRAMER, Software Engineering / Information Systems Engineering
Exploring the linguistic structures of academic texts in Mathematics and Computer Science, this study focuses on meta-languages—the tools used to express definitions, axioms, and heuristics. By analyzing text corpora from various subfields in Mathematics and Computer Science using clustering methods and neural models like XLNet, the research aims to identify shared meta-linguistic features. The goal is to improve content accessibility by rephrasing material into more familiar meta-language.
9. Graph measures in brain hyper-scanning studies
Anat DAHAN, Software Engineering / Information Systems Engineering
My field of research is applied neuroscience, focusing on modeling brain recordings using graph measures and measurements of motor synchrony and motor performance.
10. Enhancing software development processes
Natali LEVI, Software Engineering / Information Systems Engineering
My research focuses on improving software development processes. One way for achieving it is the Silver Box – a novel software development process that blends white-box, black-box, and gray-box testing into a unified, iterative framework. Silver Box integrates early code review and acceptance testing strategies, leading to the detection of new and surprising types of errors. These findings show that cross-project testing fosters deeper understanding and better error identification.
11. Leaky coupled waveguide- Plasmon modes for enhanced light-matte interaction
Said MAHAJNA, Physics
We investigate the interaction between light and matter in the nanoscale regime using nanophotonic structures. We develop nanophotonic platforms and optical methods to confine and enhance the optical field in small regions in space, thereby boosting the interaction between the field and the matter located inside it. This enhancement holds promises for bio and chemo sensing, enhanced spectroscopy and imaging, and for ultra-sensitive molecular detection.
