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.

Contributing the theory of machine learning through connections to information theory, and computational complexity theory.

Contributing the theory of machine learning through connections to information theory, and computational complexity theory.

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.

Network routing, survivability, QoS provisioning, wireless networks, the application of game theory to computer and power networks, blokchains, the application of…

Network routing, survivability, QoS provisioning, wireless networks, the application of game theory to computer and power networks, blokchains, the application of machine learning to network protocols.

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.

Our lab focuses on the evolutionary processes that shaped the human cranium and pelvis in evolution. We study human morphology from a comparative point of view in…

Our lab focuses on the evolutionary processes that shaped the human cranium and pelvis in evolution. We study human morphology from a comparative point of view in order to understand these processes.

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.

Enviromatics; machine learning methods and mathematical for natural complex environments; hydro-informatics; atmospheric-informatics; precise agriculture; structural…

Enviromatics; machine learning methods and mathematical for natural complex environments; hydro-informatics; atmospheric-informatics; precise agriculture; structural health; smart infrastructure systems and connected transportation.

Theoretical and systems aspects of data management, enumeration algorithms, probabilistic graphical models.

Theoretical and systems aspects of data management, enumeration algorithms, probabilistic graphical models.

Enumeration of query results, probabilistic, incomplete and inconsistent databases, infrastructure for text analytics, databases for preferences and social choice, and…

Enumeration of query results, probabilistic, incomplete and inconsistent databases, infrastructure for text analytics, databases for preferences and social choice, and database aspects of machine learning.

Deep Neural Network representation learning, Machine Learning, Computer Vision, Geometric Deep learning, Algorithms for efficient training and inference of Deep Neural…

Deep Neural Network representation learning, Machine Learning, Computer Vision, Geometric Deep learning, Algorithms for efficient training and inference of Deep Neural Networks.

Environmental Fluid dynamics Turbulent atmospheric flows Water waves, and wind-waves interactions Acoustics.

Environmental Fluid dynamics Turbulent atmospheric flows Water waves, and wind-waves interactions Acoustics.

Our group focuses on developing and applying physics-informed AI methodologies for understanding and designing dynamical behavior in molecular systems and materials.

Our group focuses on developing and applying physics-informed AI methodologies for understanding and designing dynamical behavior in molecular systems and materials.

Specialist in Pediatrics and Neonatology, simulation based medical education, and research on AI in Anamnesis Training, Feedback, Debriefing, Translational Research…

Specialist in Pediatrics and Neonatology, simulation based medical education, and research on AI in Anamnesis Training, Feedback, Debriefing, Translational Research and Development of Empathic Communication Skills.

Safety guarantees to deep learning by leveraging formal methods, such as analysis and synthesis.

Safety guarantees to deep learning by leveraging formal methods, such as analysis and synthesis.

Urban and regional economics, Ecological and environmental economics, Systems modeling, Land use change, Economic geography

Urban and regional economics, Ecological and environmental economics, Systems modeling, Land use change, Economic geography

Self-learning materials, disordered materials, exotic order.

Self-learning materials, disordered materials, exotic order.

Deep Learning, i.e., neural networks: understanding them theoretically (e.g., their implicit bias) and improving them (e.g., their resource efficiency and speed during…

Deep Learning, i.e., neural networks: understanding them theoretically (e.g., their implicit bias) and improving them (e.g., their resource efficiency and speed during training and inference).

The theory and applications of efficient network and system management, in particular, concentrating on cloud resource management, NFV, SDN, TE, and network aware…

The theory and applications of efficient network and system management, in particular, concentrating on cloud resource management, NFV, SDN, TE, and network aware services.

Mechanobiology of cancer and wounds. Early-prognosis of cancer metastasis. Wound healing and prevention. Experiments, Finite element modeling, machine learning.

Mechanobiology of cancer and wounds. Early-prognosis of cancer metastasis. Wound healing and prevention. Experiments, Finite element modeling, 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).

Recording and analysis of nerve cell populations in the brain during tasks of spatial learning and memory, using electrode probes, tetrodes, and calcium-imaging.

Recording and analysis of nerve cell populations in the brain during tasks of spatial learning and memory, using electrode probes, tetrodes, and calcium-imaging.

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.

Computational biology, Clinical informatics.

Computational biology, Clinical informatics.

Information and coding theory with applications to non-volatile memories, associative memories, data storage and retrieval, distributed storage, privacy, and DNA…

Information and coding theory with applications to non-volatile memories, associative memories, data storage and retrieval, distributed storage, privacy, and DNA storage.

Program Synthesis, Machine Learning for Programming Languages, Neuro-Symbolic Models, Program Analysis

Program Synthesis, Machine Learning for Programming Languages, Neuro-Symbolic Models, Program Analysis

Automated Planning, Artificial Intelligence, Robotics.

Automated Planning, Artificial Intelligence, Robotics.

Establishing and analyzing large-scale clinical and biological/genetic bio-banks and databases to study disease etiology and clinical behavior, especially with regards…

Establishing and analyzing large-scale clinical and biological/genetic bio-banks and databases to study disease etiology and clinical behavior, especially with regards to malignancies.

Oren’s research is centered on the convergence of Scientific Computing and AI, with a specific focus on how AI can be harnessed for advancements in the natural and…

Oren’s research is centered on the convergence of Scientific Computing and AI, with a specific focus on how AI can be harnessed for advancements in the natural and computer sciences.

Caching, Content Distribution, Optimizations for Flash Based Storage, Erasure Coding, Deduplication, Workload Characterization and Improved Analysis Tools.

Caching, Content Distribution, Optimizations for Flash Based Storage, Erasure Coding, Deduplication, Workload Characterization and Improved Analysis Tools.

Service Engineering/Service Operations; Behavioral Operations; Queueing Networks and Approximations; Healthcare and Call-center Operational Design.

Service Engineering/Service Operations; Behavioral Operations; Queueing Networks and Approximations; Healthcare and Call-center Operational Design.

The CDML(Computational Design & Machine Learning) lab was founded by Dr. Guy Austern in 2022. The lab’s goal is to solve problems of architectural design and…

The CDML(Computational Design & Machine Learning) lab was founded by Dr. Guy Austern in 2022. The lab’s goal is to solve problems of architectural design and fabrication using state of the art computational methods. Our current research focuses on applying Machine Learning models to architectural questions of different scales.

Image processing and computer vision, with strong focus on mathematical models related to calculus of variations and nonlinear spectral theory.

Image processing and computer vision, with strong focus on mathematical models related to calculus of variations and nonlinear spectral theory.

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.

Deep Learning on structured domains, learning on graphs, learning with symmetries, hallucination detection in LLMs, learning in weight spaces.

Deep Learning on structured domains, learning on graphs, learning with symmetries, hallucination detection in LLMs, learning in weight spaces.

Nano and micro-fabricated surfaces for cell biology research; Mechanobiology of Cells.

Nano and micro-fabricated surfaces for cell biology research; Mechanobiology of Cells.

Nano-array devices for screening, diagnosis and monitoring of disease, nanomaterial-based chemical (flexible) sensors, electronic skin, breath analysis, volatile…

Nano-array devices for screening, diagnosis and monitoring of disease, nanomaterial-based chemical (flexible) sensors, electronic skin, breath analysis, volatile biomarkers, and cell-to-cell communication.

Distributed and network-based computing, Distributed Storage, Parallel Computing, Blockchains.

Distributed and network-based computing, Distributed Storage, Parallel Computing, Blockchains.

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.

Algorithmic game theory; Theory of computation; Optimization; AI; Internet economics; Market design; Auctions.

Algorithmic game theory; Theory of computation; Optimization; AI; Internet economics; Market design; Auctions.

Using machine learning in datacenter networks and high-performance routers, e.g., for congestion control, flow classification, and buffer management.

Using machine learning in datacenter networks and high-performance routers, e.g., for congestion control, flow classification, and buffer management.

InterArray processing, signal processing, deep learning, analysis and modeling of acoustic signals, speech enhancement, noise estimation, source localization, blind…

InterArray processing, signal processing, deep learning, analysis and modeling of acoustic signals, speech enhancement, noise estimation, source localization, blind source separation, system identification and adaptive filtering.

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.

Data Science Methods: Spectral Total Variation Techniques; Biomedical Engineering: PET/CT and SPECT/CT data fusion, characterization, quantitation, artifact removal,…

Data Science Methods: Spectral Total Variation Techniques; Biomedical Engineering: PET/CT and SPECT/CT data fusion, characterization, quantitation, artifact removal, optimization of clinical imaging protocols.

Environmental quality driven urban design, Generative urban design, Zero energy buildings and districts, Performance-based design using digital tools, Environmental…

Environmental quality driven urban design, Generative urban design, Zero energy buildings and districts, Performance-based design using digital tools, Environmental workspace design, Passive low carbon design strategies

Accessibility, mobility, travel problems, disparities, social exclusion, equity.

Accessibility, mobility, travel problems, disparities, social exclusion, equity.

Computational Cancer Genomics; Our lab addresses emerging challenges in computational cancer genomics by developing and applying computational methods for cancer data…

Computational Cancer Genomics; Our lab addresses emerging challenges in computational cancer genomics by developing and applying computational methods for cancer 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.

Machine Learning in Healthcare, Chemoinformatics, Data Mining, Natural Language Processing, Information Retrieval, Knowledge Discovery, Machine Learning, Artificial…

Machine Learning in Healthcare, Chemoinformatics, Data Mining, Natural Language Processing, Information Retrieval, Knowledge Discovery, Machine Learning, Artificial Intelligence, Digital Healthcare.

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.

Computer Vision, e.g., data generation, multi-label classification; Machine Learning with focus on designing and training efficient and effective Neural Networks;…

Computer Vision, e.g., data generation, multi-label classification; Machine Learning with focus on designing and training efficient and effective Neural Networks; Tactile sensing and haptic feedback

Using microscopy technologies, we capture the dynamic function of cell nuclei and neural circuits as well as their 3D nano-scale structure. Via machine learning, we…

Using microscopy technologies, we capture the dynamic function of cell nuclei and neural circuits as well as their 3D nano-scale structure. Via machine learning, we extract the information of interest from these datasets, linking biological structure to function.

Machine learning for material design.

Machine learning for material design.

Data models; Sparse Representations – Theory and Practice and their Connection to Deep-Learning; Inverse Problems in Signal and Image Processing; Image Denoising;…

Data models; Sparse Representations – Theory and Practice and their Connection to Deep-Learning; Inverse Problems in Signal and Image Processing; Image Denoising; Graph-Based Signal Processing; Patch-Based Image Processing; Super-Resolution

Image analysis, statistical analysis of visual tasks, and the application of deep learning to vision tasks.

Image analysis, statistical analysis of visual tasks, and the application of deep learning to vision tasks.

Modeling and understanding the geometry of shapes, differential geometry, architectural geometry, remeshing for fabrication, numerical optimization and harmonic…

Modeling and understanding the geometry of shapes, differential geometry, architectural geometry, remeshing for fabrication, numerical optimization and harmonic analysis, animation, fluid simulation.

Science and engineering education, Ethics in AI research and development, Technology-enhanced education, 21st century skills.

Science and engineering education, Ethics in AI research and development, Technology-enhanced education, 21st century skills.

Control policies that facilitates learning and sim2real transfer with applications to robot assembly and legged locomotion; Invasive and non-invasive Brain Machine…

Control policies that facilitates learning and sim2real transfer with applications to robot assembly and legged locomotion; Invasive and non-invasive Brain Machine Interfaces (BMIs) and error related processing;

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.

The research in our lab focuses on development and theoretical analysis of machine learning algorithms, using mathematical tools from fields such as approximation…

The research in our lab focuses on development and theoretical analysis of machine learning algorithms, using mathematical tools from fields such as approximation theory, optimization, or invariant theory.

Mathematical optimization and algorithmic theory in continuous optimization. Mainly non-convex optimization models, methods and theory, for finance, machine learning…

Mathematical optimization and algorithmic theory in continuous optimization. Mainly non-convex optimization models, methods and theory, for finance, machine learning applications, and large-scale problems.

Theory of sequential decision-making under uncertainty, including reinforcement learning, multi-armed bandit problems, learning-augmented algorithms, and more.

Theory of sequential decision-making under uncertainty, including reinforcement learning, multi-armed bandit problems, learning-augmented algorithms, and more.

Markov Decision Processes and Stochastic Control; Reinforcement Learning; Online Learning and Bandit Processes; Game Theoretic Analysis of Queueing Systems; Trajectory…

Markov Decision Processes and Stochastic Control; Reinforcement Learning; Online Learning and Bandit Processes; Game Theoretic Analysis of Queueing Systems; Trajectory Optimization; Cooperative Mission Planning.

The Lab focuses on T cell immunology in the interface between cancer and autoimmunity, with a particular interest in chemokine-chemokine receptor interactions. The lab…

The Lab focuses on T cell immunology in the interface between cancer and autoimmunity, with a particular interest in chemokine-chemokine receptor interactions. The lab develops unique strategies for cancer immunotherapies and for restraining autoimmunity.

Machine Learning and Statistics, Combinatorial Optimization and Approximation Algorithms, Algorithmic Dimension Reduction and Applications, Complexity.

Machine Learning and Statistics, Combinatorial Optimization and Approximation Algorithms, Algorithmic Dimension Reduction and Applications, Complexity.

Modeling and predicting human behavior and social dynamics; Learning to support human decision-making; Training for human objectives and with humans in the loop;…

Modeling and predicting human behavior and social dynamics; Learning to support human decision-making; Training for human objectives and with humans in the loop; Implications of deploying predictive models in social contexts.

information theory, probability and statistics in high dimension, nonparametric regression, large deviations bounds, analysis of Boolean functions.

information theory, probability and statistics in high dimension, nonparametric regression, large deviations bounds, analysis of Boolean functions.

3D genomics, nuclear organization, computational biology, epigenetics, classical and deep machine learning, probabilistic models.

3D genomics, nuclear organization, computational biology, epigenetics, classical and deep machine learning, probabilistic models.

Formal verification, computational logic, discrete optimization.

Formal verification, computational logic, discrete optimization.

Artificial Intelligence; Human-Computer Interaction; Intelligent User Interfaces; Explainable AI.

Artificial Intelligence; Human-Computer Interaction; Intelligent User Interfaces; Explainable AI.

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.

Theoretical neuroscience. How complex systems adapt to their environment? Such systems include brains, cancer cells, and artificial neural networks.

Theoretical neuroscience. How complex systems adapt to their environment? Such systems include brains, cancer cells, and artificial neural networks.

I conduct research on the built environment (urban climates, building performance, urban history, building technology history) that involves collecting, processing,…

I conduct research on the built environment (urban climates, building performance, urban history, building technology history) that involves collecting, processing, and analyzing large datasets.

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.

My main focus is efficient intelligence: the theory and design of intelligent systems under tight data and compute budgets. Side interest: AI for quantum many-body…

My main focus is efficient intelligence: the theory and design of intelligent systems under tight data and compute budgets. Side interest: AI for quantum many-body physics.

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.

Predicting human decision making; Mining behavioral data; behavioral economics; behavioral decision making; human learning processes; behavioral mechanism design;…

Predicting human decision making; Mining behavioral data; behavioral economics; behavioral decision making; human learning processes; behavioral mechanism design; behavioral public policy.

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.

Statistical machine learning, biostatistics, experimental design and analysis, modelling and analyzing service systems, simulating service systems.

Statistical machine learning, biostatistics, experimental design and analysis, modelling and analyzing service systems, simulating service systems.

When facing challenging tasks in computerized and daily tasks, people must engage in mental effort management. Professor Ackerman studies factors that drive cognitive…

When facing challenging tasks in computerized and daily tasks, people must engage in mental effort management. Professor Ackerman studies factors that drive cognitive biases and waste of thinking time.

Game theory, Economic theory, Privacy.

Game theory, Economic theory, Privacy.

Molecular design, structure-property relationships, inverse design, organic electronics, polycyclic aromatic systems.

Molecular design, structure-property relationships, inverse design, organic electronics, polycyclic aromatic systems.

I am interested in understanding and mitigating the negative effects of strategic behavior. Mainly by people interacting via large systems, e.g. congestion in networks…

I am interested in understanding and mitigating the negative effects of strategic behavior. Mainly by people interacting via large systems, e.g. congestion in networks or biased group decisions.

Ethical issues involved in using AI and Social-AI in the context of education; Human-Robot Interaction; Computer Science Education; Instructional Design.

Ethical issues involved in using AI and Social-AI in the context of education; Human-Robot Interaction; Computer Science Education; Instructional Design.

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.

Computer vision, graphics, Geometric machine learning and big data, computational medicine and biometry, applied metric and differential geometries.

Computer vision, graphics, Geometric machine learning and big data, computational medicine and biometry, applied metric and differential geometries.

Mathematical foundations of deep learning, graph neural networks, geometric deep learning, explainable AI.

Mathematical foundations of deep learning, graph neural networks, geometric deep learning, explainable AI.

Information processing, learning and control in natural and artificial systems, reinforcement learning, lifelong learning, multi agent learning, the perception action…

Information processing, learning and control in natural and artificial systems, reinforcement learning, lifelong learning, multi agent learning, the perception action cycle.

Geometry-based Data Analysis & Modeling; Signal Processing; Applied Harmonic Analysis; Diffusion Geometry; Biomedical Signal Processing; Computational Neuroscience.

Geometry-based Data Analysis & Modeling; Signal Processing; Applied Harmonic Analysis; Diffusion Geometry; Biomedical Signal Processing; Computational Neuroscience.

Caching, network monitoring, stream processing, reliable distributed systems, high-availability and fault-tolerance, blockchains, cloud computing, wireless mobile ad…

Caching, network monitoring, stream processing, reliable distributed systems, high-availability and fault-tolerance, blockchains, cloud computing, wireless mobile ad hoc network.

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.

Geodata science, methods of interpretation, mining, and integration of crowdsourced content to augment and develop location-based services and smart mapping…

Geodata science, methods of interpretation, mining, and integration of crowdsourced content to augment and develop location-based services and smart mapping infrastructures. Spatial-cognition, navigation, and the built-environment.

Multi-agent AI, multi-robot systems, collaborative AI, multi-agent environment design, integrated task and motion planning for robotics, and multi-agent reinforcement…

Multi-agent AI, multi-robot systems, collaborative AI, multi-agent environment design, integrated task and motion planning for robotics, and multi-agent reinforcement learning.

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…

Artificial Intelligence, Machine Learning, Natural Language Semantics, Anytime Learning, Active and Selective Learning, Information retrieval, Multi-agent Systems,…

Artificial Intelligence, Machine Learning, Natural Language Semantics, Anytime Learning, Active and Selective Learning, Information retrieval, Multi-agent Systems, Adversary search, Opponent Modeling, Resource-bounded reasoning, Cost-sensitive Learning.

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.

Shie is a Professor at the Technion’ s Electrical Engineering department, working in the fields of machine learning, decision making, and control. For the last 15…

Shie is a Professor at the Technion’ s Electrical Engineering department, working in the fields of machine learning, decision making, and control. For the last 15 years, he was involved in cutting-edge research in these fields spanning from theoretical research to highly applied work. Shie’s activities extend well beyond academia as the co-founder of 3…

Robust and adaptive optimization; Data-driven optimization; Algorithms for nonconvex and mixed-integer optimization; Optimization applications in: energy, inventory…

Robust and adaptive optimization; Data-driven optimization; Algorithms for nonconvex and mixed-integer optimization; Optimization applications in: energy, inventory systems, estimation and control, statistics and healthcare.

Surgical Data Science, Computer Vision, Automatic Surgical Workflow Analysis, , Automatic Assessment of Competency-Based Medical Education in Surgery and…

Surgical Data Science, Computer Vision, Automatic Surgical Workflow Analysis, , Automatic Assessment of Competency-Based Medical Education in Surgery and Anesthesiology.

Network and multi-user information theory, Modern Communication networks (Cloud and Fog Radio Networks), Information and Signal Processing (Information-Estimation),…

Network and multi-user information theory, Modern Communication networks (Cloud and Fog Radio Networks), Information and Signal Processing (Information-Estimation), Information bottleneck problems in communications and learning.

Algebraic and Geometric Methods for Discrete Optimization.

Algebraic and Geometric Methods for Discrete Optimization.

Continuous Optimization: Theory and Algorithms, development and analysis of Optimization Methods for large-scale optimization problems, Applications of Optimization…

Continuous Optimization: Theory and Algorithms, development and analysis of Optimization Methods for large-scale optimization problems, Applications of Optimization Methods in Machine/Deep Learning.

Neuro-AI: the intersection between neuroscience, machine learning and theoretical methods.

Neuro-AI: the intersection between neuroscience, machine learning and theoretical methods.

The CFDLAB focuses on the development, implementation and application of high-fidelity numerical methods for solving problems in aerodynamic, combustion, energy,…

The CFDLAB focuses on the development, implementation and application of high-fidelity numerical methods for solving problems in aerodynamic, combustion, energy, propulsion, and multiphase turbulent flows. We use high-performance computing including multi-GPU platforms to parallelize our simulations and improve performance. We also study algorithms for…

Tamir is an Associate Professor at Technion’ s Data and Decision Sciences department, working in the fields of theoretical and practical aspects of machine learning.…

Tamir is an Associate Professor at Technion’ s Data and Decision Sciences department, working in the fields of theoretical and practical aspects of machine learning. Professor Hazan research interests involve His research focuses on mathematically founded solutions to modern real-life problems that demonstrate non-traditional statistical behavior. The…

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.

Transportation systems modeling and analysis, traffic simulation modeling, driving and travel behavior, intelligent transportation systems, traffic management and…

Transportation systems modeling and analysis, traffic simulation modeling, driving and travel behavior, intelligent transportation systems, traffic management and control.

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.

Machine learning; causal inference; machine learning for healthcare; deep learning.

Machine learning; causal inference; machine learning for healthcare; deep learning.

Research in Advanced Computer architecture to achieve high Hardware utilization. Leverage the Machine Learning unique characteristics to redesign energy efficient Deep…

Research in Advanced Computer architecture to achieve high Hardware utilization. Leverage the Machine Learning unique characteristics to redesign energy efficient Deep Neural Networks.

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.

HousingLab develops research methods that address the large scale and multifaceted nature of housing. HousingLab engages in developing archival methods for visual…

HousingLab develops research methods that address the large scale and multifaceted nature of housing. HousingLab engages in developing archival methods for visual digital data as primary sources. Specifically: developing computer vision capacities for the built environment.

Automatic diseases classification, Cell Biophysics, Heart rate variability analysis, Mobile health devices, Prediction and detection of atrial and ventricular…

Automatic diseases classification, Cell Biophysics, Heart rate variability analysis, Mobile health devices, Prediction and detection of atrial and ventricular fibrillation, Sinoatrial node cell activity.

We are working on AI/ML in battery materials research.

We are working on AI/ML in battery materials research.

Survival analysis, Empirical processes, Machine learning, Semiparametric models.

Survival analysis, Empirical processes, Machine learning, Semiparametric models.

Research centers around the theory and practice of statistical inference and machine learning, focusing on the reliability, robustness, and interpretability of modern…

Research centers around the theory and practice of statistical inference and machine learning, focusing on the reliability, robustness, and interpretability of modern data-driven algorithms.

Design computation, computer aided design and fabrication.

Design computation, computer aided design and fabrication.

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

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

Computational imaging, fluorescence microscopy, cellular imaging, 3D imaging, super-resolution microscopy, wavefront shaping.

Computational imaging, fluorescence microscopy, cellular imaging, 3D imaging, super-resolution microscopy, wavefront shaping.

Higher-level cognition; Cognitive complexity; Creativity; Network science in cognitive science; Network neuroscience; Clinical cognitive Networks; Cognitive search.

Higher-level cognition; Cognitive complexity; Creativity; Network science in cognitive science; Network neuroscience; Clinical cognitive Networks; Cognitive search.

Artificial Intelligence and Machine Learning, especially large language models, multi-modal models, emergent and multi-agent communication, and AI models for science.

Artificial Intelligence and Machine Learning, especially large language models, multi-modal models, emergent and multi-agent communication, and AI models for science.

Speech, language and AI.

Speech, language and AI.

Storage devices, systems; Reliable data distribution in networks; Coding theory, Data compression.

Storage devices, systems; Reliable data distribution in networks; Coding theory, Data compression.