Machine Learning Labs
@Ben-Gurion University by
(01/2021) Our medical information lab received funding from the Israeli innovation authority (bioconvergence track)"
Specialties: Data Science, Machine Learning, Recommender Systems, Cyber Security, Data Mining, Information Technology, Intelligent Information Systems, Pattern Recognition, Artificial Intelligence, Business Intelligence, Knowledge Management
Specialties: Recommender systems, Personalization, Information retrieval, machine learning and its application to cyber security and privacy
Specialties: Machine learning, deep learning, Reinforcement learning, Recommender systems, Information retrieval
Specialties: Modeling and analysis of Social Network Dynamics based on various social signals ranging from language use to patterns of online activity. Random Graphs, Complex Networks Analysis, Machine Learning and Natural Language Processing in the context of social interaction.
Specialties: Modeling and analysis of complex networks with applications to cybersecurity, social and communication network analysis.
Describe your image
The revolution in the measurement and collection of data and the resulting huge amounts of data have made data science a very important field of study and research. Today researchers are mining data available from various sources, such as web query logs, social media posts and blogs, satellites, sensors, network traffic, and more.
Our labs focus on analyzing large-scale data streams such as news, blogs, sensor data, social media and more to provide personalization, perform predictive analytics, and identify anomalies in the data.
Our research covers a range of topics in machine learning and data science:
Automated Machine Learning (AutoML)
Connected Cars and Intelligent Transportation Systems
Natural Language Processing (NLP)
Medical Information Analytics
In the recommender systems our current focus is using Deep Learning techniques to build concise representations of the meanings of user's context and use these powerful features to provide accurate personal recommendations.
Another focus is the application of machine learning for cyber security. In various projects we collect network data, honeypot data, or transaction data, to detect anomalies or fraud, predict the malware behavior and perform continuous authentication and more.
The labs is lead by Prof. Lior Rokach, Prof. Bracha Shapira, Dr. Rami Pusis, Dr.Oren Tzur and Dr. Gilad Katz . Graduate, M.Sc. and Ph.D students are engaged in the labs as scientific developers, research assistants, project managers and data scientists.
All the labs collaborate with many partners in the relevant industry.
Partners and Collaborations
For any inquiries, questions or commendations, please call: +972-747795152 or fill out the following form
Department of Software and Information Systems Engineering, Bld. 96
Ben-Gurion University of the Negev
Beer-Sheva p.o.b. 653
Tel: +972-747795152, +972-747795154
To apply for a job with Machine Learning Labs, please send a cover letter together with your C.V. to: firstname.lastname@example.org