OUR RESEARCHERS

My research and design work focus on the synergy between information technologies, computational languages, and digital fabrication systems, examining the way in which…

My research and design work focus on the synergy between information technologies, computational languages, and digital fabrication systems, examining the way in which technology informs and generates innovative approaches to design processes.

Closed-loop software and hardware platforms driving chemical discovery through automated hypothesis generation, refinement, validation, and revision, resulting in…

Closed-loop software and hardware platforms driving chemical discovery through automated hypothesis generation, refinement, validation, and revision, resulting in predictive chemical kinetic models.

AI for unstructured field robotics: model-based learning and planning under uncertainty, using minimal sensing/actuation and contact-rich dynamics to deliver safe,…

AI for unstructured field robotics: model-based learning and planning under uncertainty, using minimal sensing/actuation and contact-rich dynamics to deliver safe, data-efficient, field-ready autonomy.

Computational imaging

Computational imaging

Human behavior in the context of organizational service interactions. Big data and automation tools are used to objectively analyze emotion and behavior of…

Human behavior in the context of organizational service interactions. Big data and automation tools are used to objectively analyze emotion and behavior of participants in online conversations.

Proteomics; Cancer Vaccines; Antigen Processing and Presentation; Big data of proteomics and peptidomics; Bioinformatics of proteomics and mass spectrometry.

Proteomics; Cancer Vaccines; Antigen Processing and Presentation; Big data of proteomics and peptidomics; Bioinformatics of proteomics and mass spectrometry.

Swarm Intelligence, Distributed Control of Multi-Agent Systems, and Distributed Task Allocation. Applications of Machine Learning methods to improve the performance of…

Swarm Intelligence, Distributed Control of Multi-Agent Systems, and Distributed Task Allocation. Applications of Machine Learning methods to improve the performance of traditional planning algorithms.

Applied biomechanics and investigation of the interaction of mechanics, biology, and structure of musculoskeletal joint pathologies. Implementing smart wearable…

Applied biomechanics and investigation of the interaction of mechanics, biology, and structure of musculoskeletal joint pathologies. Implementing smart wearable technologies that record large data sets of bio-signal motion data.

Assaf is a Professor at the Technion’ s Computer Science department, working in the realms of Distributed and Scalable Deep Learning, Internet of Things as well as…

Assaf is a Professor at the Technion’ s Computer Science department, working in the realms of Distributed and Scalable Deep Learning, Internet of Things as well as privacy and Cyber Security. Assaf is an IEEE and ACM fellow and his work encompasses both theoretical and applied research. Beyond his academic work, Assaf was instrumental in establishing the…

Computer Architecture, Accelerators for Machine Learning, Security aspects of LLMs, Security Hazard detection through anomaly detection.

Computer Architecture, Accelerators for Machine Learning, Security aspects of LLMs, Security Hazard detection through anomaly detection.

Nanotechnology, cancer, Parkinson’s disease, AI

Nanotechnology, cancer, Parkinson’s disease, AI

Data integration in uncertain settings, Responsible AI, Process mining.

Data integration in uncertain settings, Responsible AI, Process mining.

Service-Engineering of large operations (e.g. hospitals / emergency-departments, call / contact-centers, courts, …); Operations research; Statistics; Queueing…

Service-Engineering of large operations (e.g. hospitals / emergency-departments, call / contact-centers, courts, …); Operations research; Statistics; Queueing science & theory; Control theory; Data- and process-mining.

My research focuses on AI and machine learning, with an emphasis on robotics applications. My long term goal is to bring robots into human-centered domains such as…

My research focuses on AI and machine learning, with an emphasis on robotics applications. My long term goal is to bring robots into human-centered domains such as homes and hospitals. Towards this goal, some fundamental questions need to be solved, such as how can machines learn models of their environments that are useful for performing tasks, and how to…

We study fundamental epigenetics processes affecting gene expression and regulation by using bioinformatics, generating pipelines, and experimental biology.

We study fundamental epigenetics processes affecting gene expression and regulation by using bioinformatics, generating pipelines, and experimental biology.

My research focuses on computer graphics, computer vision, and machine learning.

My research focuses on computer graphics, computer vision, and machine learning.

Designs of clinical trials, high-dimensional regression, and Statistical Theory.

Designs of clinical trials, high-dimensional regression, and Statistical Theory.

Air pollution; Aerosol and atmospheric physics; Atmospheric moisture harvesting; Environmental informatics; Carbon dioxide removal (CDR).

Air pollution; Aerosol and atmospheric physics; Atmospheric moisture harvesting; Environmental informatics; Carbon dioxide removal (CDR).

Dori pioneers Neuro-Conceptual AI, merging deep learning with OPM conceptual modeling to enhance explainability, transparency, and reasoning in question-answering…

Dori pioneers Neuro-Conceptual AI, merging deep learning with OPM conceptual modeling to enhance explainability, transparency, and reasoning in question-answering systems.

Automated Planning, Artificial Intelligence, Robotics.

Automated Planning, Artificial Intelligence, Robotics.

We cast biological questions into mathematical formulations and develop geometric, interpretable methods for neural data analysis.

We cast biological questions into mathematical formulations and develop geometric, interpretable methods for neural data analysis.

Quantum optics & photonics research on attosecond science and free-electron physics; ultrafast light–matter interactions using femtosecond electron microscopy,…

Quantum optics & photonics research on attosecond science and free-electron physics; ultrafast light–matter interactions using femtosecond electron microscopy, nanophotonics & engineered wavefunctions.

Ido is a Professor of Education and of Data Science. Ido’s work focuses on the use of AI and learning analytics to understand, assess, and support complex…

Ido is a Professor of Education and of Data Science. Ido’s work focuses on the use of AI and learning analytics to understand, assess, and support complex learning processes and higher order thinking.

I am interested in cardiac physiology and pathology and in the use of AI to analyze both microscopic and macroscopic imaging of heart cells and of the heart.

I am interested in cardiac physiology and pathology and in the use of AI to analyze both microscopic and macroscopic imaging of heart cells and of the heart.

Medical machine learning, unstructured data analysis.

Medical machine learning, unstructured data analysis.

Designing the future of efficient ML. We create advanced algorithms for optimization, robustness, and complex decision-making environments.

Designing the future of efficient ML. We create advanced algorithms for optimization, robustness, and complex decision-making environments.

I aim to endow individual robots and multi-robot teams with theory-driven and practical algorithms for tackling complex tasks in the real world.

I aim to endow individual robots and multi-robot teams with theory-driven and practical algorithms for tackling complex tasks in the real world.

Our lab studies human-AI interactions and the effects of AI use on people’s perceptions, evaluations, motivation and behavior, and changes in behavior that are…

Our lab studies human-AI interactions and the effects of AI use on people’s perceptions, evaluations, motivation and behavior, and changes in behavior that are affected by AI such as self-disclosure.

AI methods for computational MRI, quantitative imaging, WSI pathology analysis, and clinical NLP for medical decision support.

AI methods for computational MRI, quantitative imaging, WSI pathology analysis, and clinical NLP for medical decision support.

Machine learning, computational game theory, incentive-aware recommender systems, strategic behavior under LLMs, mechanism design.

Machine learning, computational game theory, incentive-aware recommender systems, strategic behavior under LLMs, mechanism design.

I’m a Senior Research Scientist at NVIDIA Spatial Intelligence Lab (SIL) and an Assistant Professor at the Technion, specializing in 3D computer vision and…

I’m a Senior Research Scientist at NVIDIA Spatial Intelligence Lab (SIL) and an Assistant Professor at the Technion, specializing in 3D computer vision and generative AI.

Developing efficient, provably high-quality algorithms for motion planning and search in complex systems such as surgical robotics and warehouse automation. My work…

Developing efficient, provably high-quality algorithms for motion planning and search in complex systems such as surgical robotics and warehouse automation. My work bridges basic theory and practice.

Researches GenAI’s impact on computer science education, STEM education policy, and education in times of crisis, bridging academia, industry, and society through…

Researches GenAI’s impact on computer science education, STEM education policy, and education in times of crisis, bridging academia, industry, and society through curriculum design and agile projects.

My group develops interpretable, causal, and multimodal AI methods, combining foundational methods with applications in mental health, neuroscience, language–brain…

My group develops interpretable, causal, and multimodal AI methods, combining foundational methods with applications in mental health, neuroscience, language–brain research, and human decision making.

Artificial Intelligence, Machine learning, Reinforcement Learning, Computational Biology, Antibiotic resistance, Infectious Diseases, AI-driven science.

Artificial Intelligence, Machine learning, Reinforcement Learning, Computational Biology, Antibiotic resistance, Infectious Diseases, AI-driven science.

Computer architecture, VLSI, circuit design, neuromorphic computing, AI accelerators, processing-in-memory.

Computer architecture, VLSI, circuit design, neuromorphic computing, AI accelerators, processing-in-memory.

Shai is an Associate Professor at the Technion’s Faculty of Medicine, working in the fields of Computational Biology, Systems Immunology & Precision Medicine.…

Shai is an Associate Professor at the Technion’s Faculty of Medicine, working in the fields of Computational Biology, Systems Immunology & Precision Medicine. He has been developing machine learning to study the drivers of immune variation, particularly in the context of aging, and to further Immune-based Precision Medicine. Shai directs…

Foundations of Machine Learning Theory, e.g. regret analysis and generalization theory, trustworthy and responsible ML.

Foundations of Machine Learning Theory, e.g. regret analysis and generalization theory, trustworthy and responsible ML.

Tomer Michaeli’s research addresses problems relating to restoration, compression, and editing of visual data.

Tomer Michaeli’s research addresses problems relating to restoration, compression, and editing of visual data.

I lead an interdisciplinary research on how genetics, environment, technology, and parent–child interaction shape the developing brain with a specific emphasis on…

I lead an interdisciplinary research on how genetics, environment, technology, and parent–child interaction shape the developing brain with a specific emphasis on cognitive and reading skills.

Autonomous Decision-Making Under Uncertainty, Belief Space Planning, Semantic Perception and Simultaneous Localization and Mapping (SLAM), and Probabilistic Inference…

Autonomous Decision-Making Under Uncertainty, Belief Space Planning, Semantic Perception and Simultaneous Localization and Mapping (SLAM), and Probabilistic Inference in Single- & Multi-Agent Systems.

eye-tracking, natural language processing, reading, education, cognitive science, neuroscience.

eye-tracking, natural language processing, reading, education, cognitive science, neuroscience.

Artificial intelligence, natural language processing, deep learning, interpretability, robustness, AI for biology, multi-agent communication.

Artificial intelligence, natural language processing, deep learning, interpretability, robustness, AI for biology, multi-agent communication.

Speech, language and AI.

Speech, language and AI.