Department of Computer Science
Dr. Adi Akavia
Department of Computer Science
Methods: Big Data algorithms
Application Domains: Information Security, Cryptography, Safe Calculation
Prof. Dan Feldman
Department of Computer Science
Methods: Data reduction and summarization, techniques (core-sets)
Application Domains: Data Reduction and Summarization
Datatype: Streaming data, and distributed data (e.g. cloud, network or smartphones)
Prof. Daniel Keren
Department of Computer Science
Methods: Machine Learning, Deep Learning
Application Domains: Probabilistic Pattern Recognition
Datatype: Stream and distributed data, IOT sensors
Dr. Dan Rosenbaum
Department of Computer Science
Methods: Machine Learning, Probabilistic Models, Approximate Inference
Application Domains: Computer Vision, Structural Biology
Dr. Guy Avni
Department of Computer Science
Methods: Formal Methods
Application Domains: Game Theory
Prof. Hagit Hel-Or
Department of Computer Science
Methods: Computer Vision, Machine Learning, Deep Learning
Application Domains: Computational Human Behavior
Datatype: Images, Videos, Behavioral data
Prof. Ilan Newman
Department of Computer Science
Methods: Big Data algorithms
Application Domains: Big Data, Core-Sets, E-Commerce
Prof. Margarita Osadchy
Department of Computer Science
Methods: Machine Learning, NLP, Deep Learning, Computer Vision, Data Privacy
Application Domains: ML Theory, Application: NLP, CV, Bioinformatics, Data Privacy
Datatype: Time-Series: Protein Sequences, Text, Image
Prof. Ronen Shaltiel
Department of Computer Science
Methods: Theory: Computation, Randomness, and Information
Application Domains: Theory of Computer Science, Complexity, Randomness as a Computational Resource
Prof. Yosi Ben-Asher
Department of Computer Science
Methods: Big Data Algorithms
Application Domains: Parallel Computing, Operating Systems, Compilers
Prof. Shuly Wintner
Department of Computer Science
Methods: NLP
Application Domains: Computational linguistics
Datatype: Text
Prof. Rachel Kolodny
Department of Computer Science
Methods: Deep Learning, Algorithms
Application Domains: Computational Biology, Bioinformatics
Datatype: Protein Structures, Protein Sequences
Prof. Roi Poranne
Department of Computer Science
Methods: Deep Learning, Data collection by simulation, Artificial Intelligence
Application Domains: Robotics, Optimization
Department of Information Systems
Dr. Adir Solomon
Department of Information Systems
Methods: Machine Learning, Deep Learning, Natural Language Processing, Data Mining, Computational criminology, and recommender systems.
Prof. Anna Zamansky
Department of Information Systems
Application Domains: AI in veterinary healthcare, AI in animal behavior and emotion analysis
Dr. Einat Minkov
Department of Information Systems
Methods: NLP
Application Domains: Social Media Analysis, Recommender Systems (Personalization), Digital Humanities,
Computational Social Science, Natural Language Understanding
Datatype: Text
Prof. Ilan Shimshoni
Department of Information Systems
Methods: 3D data analysis, Computer Vision, Mean shift clustering, Selective sampling algorithms,
Discriminative dictionary learning
Application Domains: Archaeology, Medicine
Datatype: Images, 3D data
Prof. Joel Lanir
Department of Information Systems
Methods: Developing principles for data visualizations
Application Domains: Information Visualization
Dr. Judith Somekh
Department of Information Systems
Methods: Stochastic network models and hierarchical clustering computational deconvolution
Application Domains: Molecular Systems, Genomics
Datatype: Genomic data, Gene expression data
Prof. Mor Peleg
Department of Information Systems
Methods: Ontology-based data integration, Ontology-assisted machine learning and statistical analysis,
Clinical decision support
Application Domains: Health Informatics, Digital Health, Clinical Decision Support Systems
Datatype: Medical Data, Medical Ontologies, Mobile Data
Prof. Ofer Arazy
Department of Information Systems
Methods: Web-Crawling, Statistical Methods (Linear regressions etc.), Machine Learning, Dynamic System Modelling, Stochastic Models
Application Domains: Human Behavior on Online Platforms, Data mining
Datatype: Text (eg. Wikipedia Data)
Dr. Osnat (Ossi) Mokryn
Department of Information Systems
Methods: Statistical inference, Statistical modeling
Application Domains: Online Behavior, Social Media, Complex
Datatype: Networks, Social Media
Prof. Pnina Soffer
Department of Information Systems
Methods: Data Integration, Data mining, Process mining
Application Domains: Business process modeling, analysis, and execution
Datatype: Text: Process Logs
Dr. Rotem Dror
Department of Information Systems
Methods: Machine Learning, Natural Language Processing, Statistics, Designing experiments and evaluating models.
Prof. Tsvi Kuflik
Department of Information Systems
Methods: Frameworks for Data-Mining: Social, Mobile, and Web data. Big Data Visualizations
Application Domains: User modeling, Recommender Systems
Datatype: Text, Social Networks, Sensor Data, Mobile Data
Department of Statistics
Prof. Alexander Goldenshluger
Department of Statistics
Methods: Algorithms for nonparametric inference, sequential decision making under uncertainty
Application Domains: Theoretical Foundations of Data Science
Dr. Bella Vakulenko-Lagun
Department of Statistics
Methods: Experiment Design, Causal Inference, Selection Bias
Application Domains: Epidemiology, Medical Sciences, Clinical Trials
Datatype: Medical Data
Dr. Itai Dattner
Department of Statistics
Methods: Mathematical and Statistical Theory, Machine Learning, Dynamic Systems
Application Domains: Biostatistics, Epidemiology, Biology, Engineering
Datatype: Numerical
Dr. Liron Ravner
Department of Statistics
Methods: Statistical inference
Application Domains: Decision Making, Queuing Theory, Applied Probability, Operations Research
Prof. Ori Davidov
Department of Statistics
Methods: Development of Statistical Methodology, Order Restricted Inference, General Biostatistical Methods
Application Domains: Biomedicine
Datatype: Numerical
Prof. Philip Tzvi Reiss
Department of Statistics
Methods: Semiparametric regression, Functional data analysis
Application Domains: Psychology, Psychiatry
Datatype: Experimental Psychology Neuroimaging, Experience Sampling
Charney School of Marine Sciences
Prof. Daniel Sher
The Hatter Department of Marine Biology
Methods: Phenotypic analysis
Application Domains: Marine Bioinformatics, Computational Biology, Microbial Ecology and Oceanography,
Chemical Ecology
Datatype: Marine data
Dr. Igal Berenshtein
The Hatter Department of Marine Biology
Methods: Computational biology, Stochastic Proccesses, Movement & Orientation Analyses, Spatiotemporal Data Analyses, Signal & Time Series Analyses, Animal Orientation, Lagrangian Stochastic models
Application Domains: Marine sciences, larval dispersal and connectivity, marine pollution, marine ecosystem science
Prof. Itzik Klein
The Hatter Department of Marine Technologies
Methods: Machine and deep Learning
Application Domains: Data-driven inertial sensing and sensor fusion
Datatype: Time series including accelerometers, gyroscopes, magnetometers, Doppler velocity logs, and more.
Dr. Oren Gal
The Hatter Department of Marine Technologies
Methods: Reinforcement learning, deep learning
Application Domains: Swarm, multi-agents, motion planning
Datatype: Streaming data, 3D data
Prof. Roee Diamant
The Hatter Department of Marine Technologies
Methods: Deep Learning, Machine Learning, Statistical Methods, Algorithms
Application Domains: Signal/Object detection, Signal processing, QA for big data collection,
Estimating natural phenomena (acoustic channels, dynamics of water current)
Datatype: Image: Under Water Imaging, Time Series: Sonar, Sensors, Marine Data
Prof. Tali Treibitz
The Hatter Department of Marine Technologies
Methods: Underwater Imaging, Ocean engineering, Computational Photography, Computer Vision
Application Domains: Marine Technologies
Estimating natural phenomena (acoustic channels, dynamics of water current)
Datatype: Underwater Images and Videos
Dr. Yoav Lehahn
The Hatter Department of Marine Geosciences
Methods: AI for data integration, Lagrangian methods
Application Domains: Oceanography, Biophysical Interactions, Ocean-atmosphere Interactions
Datatype: Time Series, Images, Satellite Data
Faculty of Natural Sciences
Prof. Avi Bar-Massada
Department of Biology and Environment
Methods: Machine Learning, Ensemble Learning, Ecological informatics
Application Domains: Spatial ecology, Pyrogeography
Datatype: Images, Satellite Data, Tabular Data
Prof. Doron Chelouche
Department of Physics and the Haifa Research Center for Theoretical Physics and Astrophysics
Methods: Data mining, Time-series analysis, Image reduction and comparison, Statistical inference
Application Domains: Physics
Datatype: Image: Spectroscopy Imaging, Time-Series: Sensor Data
Dr. David Deutsch
Sagol Department of Neurobiology
Methods: Machine Learning, Python, Time-series analysis, Statistical inference
Application Domains: Neurobiology
Prof. Eyal Privman
Department of Evolutionary and Environmental Biology
Methods: Population genomics and phylogenomics methods for the inference of natural selection (adaptive
evolution) and genetic mapping of biological traits (GWAS etc.)
Application Domains: Bioinformatics and computational biology, Adaptive evolution in particular
populations/species or particular gene families of interest.
Datatype: High-throughput genomics data
Prof. Mickey Kosloff
Department of Human Biology
Application Domains: Structural Bioinformatics
Datatype: Protein Structures, Protein Sequences
Prof. Uri Hershberg
Department of Human Biology
Methods: Database Construction, Analysis and Visualization
Application Domains: Immunology, High Throughput Sequencing, Gene Expression Analysis
Datatype: Time Series: DNA Sequence Data
Department of Economics
Dr. Assaf Sarid
Department of Economics
Methods: Data Integration
Application Domains: Econometrics, Spatial Econometrics, Human Behavior
Datatype: GIS
Prof. Doron Kliger
Department of Economics
Application Domains: Game theory, Decision Making, Human Behavior
Datatype: Time-Series: Financial Real Data, Tabular: Surveys, Experiments
School of Business Administration, Faculty of Social Sciences
Prof. Daphne Raban
School of Management
Methods: Topic Modeling, Agent-Based Modeling, Network Analytics
Application Domains: Information Economics
Datatype: Social Media
School of Psychology, Faculty of Social Sciences
Prof. Hadas Okon-Singer
School of Psychology
Methods: Machine Learning, Intereptability
Application Domains: Differentiating Psychiatric Disorders
Datatype: Tabular: Psychological Data, Images
Prof. Roee Admon
School of Psychology
Methods: Latent Class, Mixture Modelling (LCMM), Machine Learning
Application Domains: Personalized Digital Medicine
Datatype: Medical Data, functional MRI (fMRI) Data
Prof. Sigal Zilcha-Mano
School of Psychology
Methods: Machine Learning
Application Domains: Precision medicine, Psychotherapy
Datatype: Video, Images, Physiological, MRI, Text, Time series, Sensor, Acoustic
Dr. Uri Hertz
Departmant of Cognitive Sciences
Methods: Web-Applications, Model based analysis, Reinforcement Learning
Application Domains: Decision Making, Social Influence
Datatype: Tabular
School of Political Science, Faculty of Social Sciences
Prof. Michael Freedman
School of Political Science
Methods: Computational Text Analysis, Big Data, Machine Learning, Network Analysis
Application Domains: Social Sciences
Datatype: Text, Cellular Data, Spatial Data / GIS
Faculty of Social Welfare and Health Sciences
Prof. Irit Weissman-Fogel
Physical Therapy
Methods: fMRI network analysis, EEG signal processing
Application Domains: Brain, Pain, and Behavior
Dr. Pavel Goldstein
School of Public Health
Methods: Computer Vision, Tracking Algorithms, Statistical Modeling, Signal Processing
Application Domains: Computational Biology, Pain
Datatype: Video, Images, Tabular: Physiological Data
Prof. Stephen Levine
Department of Community Mental Health
Methods: Harmonization
Application Domains: Psychometrics, Epidemiology
Datatype: National registry data
School of Environmental Sciences
Prof. Anna Brook
Department of Geography and Environmental Studies
Methods: Deep Learning
Application Domains: Spectroscopy, Remote Sensing
Dr. Motti Zohar
Department of Geography and Environmental Studies
Methods: Computer Vision, Geostatistics
Application Domains: Geoinformation Science & Earth Observation
Datatype: GIS
Faculty of Humanities
Dr. Moshe Lavee
Department of Jewish History
Methods: Crowdsourcing (for training HTR – Hand Written Text Recognition systems)
Application Domains: Digital Humanities, Hand Written Text Recognition