University of Haifa Data Science Research Center

The University of Haifa’s Data Science Research Center is focused on strengthening methodological data science research projects via multidisciplinary research across university departments and with industry and the public sector.

The data revolution and the increase in information and communication technologies elevate public interest and make everyone in academia, industry, non-profit organizations and the public sector a developer and/or user of data science (DS) methods and tools.
The University of Haifa (UoH) has an ideal combination of research disciplines in both core and applications of DS.
The proposed DS research center of the UoH (DS-RC@UoH) will integrate the core areas, such as machine learning, deep learning, big data, distributed algorithms, statistical inference and methodology, big data management, etc., and applications that use these methodologies, such as computer vision, natural language processing, computational biology, informatics, astronomy, etc.

The primary objective of the university-wide overarching center is to:

  •  Develop a mechanism to advance methodological DS research in an integrative/harmonized manner across all the faculties, schools, departments and DS-related centers;
  •  Increase the usage of DS methods and tools across all departments and disciplines;
  • Boost collaboration with industry and the public sector in order to address real-life problems to better society.
  •  Enhance the transformation of the University of Haifa to the digital Era, digital sciences, digital humanities, and digital social sciences. We believe that the world and the academia as part of it are going through major transformations, and in the near future all researchers will need to comprehend DS technologies to stay in the leading edge of research.

To address its mission, the center will increase opportunities for collaboration among core DS scientists, DS scientists who are developing methods for specific application domains, and researchers in non-DS domains. The latter are users of DS tools who can define new needs and challenges that may spark innovative DS methodologies and step up the DS research in their domains (e.g. humanities, social sciences, etc.). Second, DS members who are established in working with and attaining data from the industry and the public sectors will develop strategies and activities to facilitate collaboration of additional researchers with these sectors.

Computer Science Colloquium meeting
Causal Data Integration – Prof. Brit Youngmann

15.2.2024 Thursday
11:00-12:00
City campus - Amir Building, Conference Hall 508

Course in Applications of machine learning 222.4036

Semester B
Monday 08:00-11:00

Kol Kore for Seed Research

Due 24.2.2024

IDSAI Fifth Call for Proposals to support of Cloud Resources

Due 23.5.2024

IDSAI 2024,
The Third Israeli Data Science Initiative conference for a Deep Learning Experience

2-4.6.2024 Sunday-Thursday
ELMA Hotel
Abstract submission due 7.3.2024

Blogs

2023 Algorithms Computer Science Data Mining PhD Processing Research Blog

Using Less communication to approximate mathematical properties over large, noncentralized data

Amit Shahar, Daniel Keren
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2023 Bioinformatics Deep Learning Human Biology Information Systems Machine Learning Neural Networks PhD Research Blog

Is it diversity or just a mess? When RNA splicing does not go according to plan

Shaked Shanas, Martin Mikl, Judith Somekh
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2023 Computer Science Machine Learning PhD Processing Research Blog

Completing the picture in 3D

Azmi Haider, Dan Rosenbaum
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2023 Artificial Intelligence Computer Vision Information Systems Machine Learning PhD Research Blog Veterinary Medicine

Can Facial Landmarks Guide us to Understanding Animal Emotions? 

George Martvel, Anna Zamansky, Ilan Shimshoni
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2023 Artificial Intelligence Health Post-Doc Psychology Research Blog

Looking Inside the Black Box of Meditation Using Artificial Intelligence

Yuval Hadash, Noga Aviad, Margarita Osadchy, Amit Bernstein
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2021 Digital Humanities Natural Language Processing PhD Research Blog Statistics

A new Analysis method for the basketball “Hot-Hand” fallacy

Netzer Bar Am, Shuly Wintner
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2022 Data Mining Database Collection Deep Learning Marine Science Research Blog

Which ships are out there

Roee Diamant, Boris Kasnelson
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2021 Digital Humanities Natural Language Processing PhD Research Blog Statistics

A new Analysis method for the basketball “Hot-Hand” fallacy

Netzer Bar Am, Shuly Wintner
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2022 Artificial Intelligence Computer Vision Database Collection Health Psychology Research Blog

Can cognitive biases during pregnancy predict future development of postpartum depression and PTSD?

Vanessa Cywiak, Hadas Okon-Singer, Nur Givon-Benjio, Ido Solt, Eyal Fruchter, Hagit Hel-Or
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2022 Artificial Intelligence Computer Vision Health Post-Doc Psychology Research Blog

It Feels Good to Feel Bad: Between-and Within-Session Changes in Emotions During Psychological Treatment for Depression

Hadar Fisher, Philip T. Reiss, Dovrat Atias, Simon Shamay-Tsoory, Sigal Zilcha-Mano
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2021 Biodiversity Computer Vision Deep Learning Image Processing Machine Learning Neural Networks Research Blog Seed

3D Imaging for Coral Reef Ecology

Matan Yuval, Naama Pearl, Amit Peleg, Dan Tchernov, Tali Treibitz, Avi Bar Massada
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2022 Artificial Intelligence Database Collection Digital Humanities Natural Language Processing Processing Research Blog

Can we automatically determine the proficiency of Hebrew second language learners

Anat Prior, Shuly Wintner
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2022 Data Mining Health Neural Networks PhD Psychology Research Blog

Let it hurt Can we train our pain

Einav Gozansky, Hadas Okon-Singer , Irit Weissman-Fogel
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2022 Computer Science Computer Vision Data Mining Marine Science Marine Technologies Research Blog Seed

An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields

Murad Tukan, Eli Biton, Roee Diamant
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2022 Artificial Intelligence Deep Learning Information Systems Machine Learning Neural Networks PhD Research Blog Veterinary Medicine

Say Hello to the New Digital DR DOLITTLE: AI that Knows How to Read Cats’ Emotions

Marcelo Feighelstein, Anna Zamansky, Ilan Shimshoni
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2022 Artificial Intelligence Deep Learning Health Machine Learning Neural Networks Psychology Research Blog Supervision The Haifa Center for Law & Technology

Can a Computerized Task Treat Depression

Gal Rabinovich, Reut Shani, Tomer Sidi, Hadas Okon-Singer
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2022 Deep Learning Health Machine Learning Neural Networks PhD Research Blog

Can you smell pain: A  Multi-modal signature for chronic pain

Michal Weiss, Hadeel Salameh, Elias Mansour, Hossam Haick, Pavel Goldstein
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2022 Deep Learning Health Machine Learning Neural Networks Psychology Research Blog Supervision

If the Shoe Fits… – Wait, What if It Doesn’t

Galit Peysachov, Noa Magal, Idan Kogan, Roee Admon, Sigal Zilcha-Mano
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2023 Artificial Intelligence Deep Learning Information Systems Machine Learning Marine Geosciences Neural Networks Research Blog Seed Veterinary Medicine

Wearable Sensors for Monitoring Neurological Conditions in Dogs

Itzik Klein, Anna Zamansky, Tsvika Palkovitch
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2022 Deep Learning Health Human Biology Information Systems Machine Learning Neural Networks Research Blog Seed

How synchronized are the human organs?

Ehud Sussman, Dana Mor, Shaked Briller, Judith Somekh, Gil Atzmon
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