Academic Partners
 

Academic Partners

Ben Gurion University of the Negev

Dr. Yehuda Ben-Shimol


The research group of Dr. Yehuda Ben-Shimol is focused on networking and communication issues related to the survivability of smart grid power-line networks. A team of graduate and under graduate students under the supervision of two researchers is investigating and developing solutions for routing and channel access mechanisms
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Ben Gurion University of the Negev

Dr. Ron Dabora


In recent years the demand for electric power has increased dramatically. However the power production capacity cannot be increased at a similar rate to that of the demand due to environmental, technical and financial issues. Thus, in order to cope with the increasing demand for electric power the management of the electric power supply network must be improved. The implementation of advanced network management requires high speed communication over the power line network.
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Ben-Gurion University of the Negev

Prof. Mark Last


Developing dynamic learning algorithms for short-term electric load forecasting in residential and non-residential buildings along with timely detection and prediction of abnormal usage.
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Ben Gurion University of the Negev

Prof. Dov Wulich


Research topics of the communications laboratory:
The communications laboratory is dealing with key issues in communication: (i) the problem of non-linear power amplifier, and (ii) reliable wireless communication where, the traditional approach based on radio frequency, does not work. The solution of the first problem leads to more efficient energy use by power amplifier, i.e. more time for battery powered devices, less power spend to cool stationary units like base stations. The solution of the second problem will solve the problem of wireless communication for oil reservoirs, underwater communication, mines and tunnels. Mines and tunnels have particular military importance.
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The Holon Institute of Technology

Dr. Yuval Beck


The expertise of the research group at H.I.T. - The Holon Institute of Technology includes various Smart Grid solutions. The ISG group focuses on characterization, analysis, and detection of the location of faults in the electrical grid. In addition, the group investigates the subjects of load management and self-healing of the grid in case of a major fault.
The research group includes researchers with diverse areas of interest in Energy and Power Systems Engineering, with vast knowledge in the structure and stability of power grids, in particular, and power electronics, in general. The group is also proficient in modeling and dealing with modern electricity problems, such as: non-linear loads and harmonics.
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The Hebrew University of Jerusalem

Prof. Danny Dolev


Our research group has been active in a range of areas in distributed computing, networking and sensors, with special emphasis on fault tolerance and security. Our research involved theoretical work, practical models that bridge between theory and practice, and prototype implementations. The major focus of our research is development of robust protocols that can withstand insider attacks and malicious attacks and still can converge fast from any initial state to a safe state even when the attacks continuous. Our research focus is on detection of weak network points that may jeopardize the robustness of the communication grid, provide techniques to improve protocols tolerance to various faults and attacks, and to enable tight synchronization despite transient or malicious faults.
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Technion - Israel Institute of Technology

Prof. Amir Beck


The research team of Prof. Beck consists of Dr. Luba Tetruashvili and several master and doctoral students.
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The Hebrew University of Jerusalem

Dr. Amir Globerson


The Learning group members are Prof. Yair Weiss, Dr. Amir Globerson, Dr. Ami Wiesel and Mr. Ofir Bibi. The group specializes in machine learning, statistical signal processing and large scale optimization.
The main goals of the research are load prediction and fault detection. For these purposes, we will utilize state of the art statistical models and algorithms combined with message passing optimization techniques.
The group collaborates with Powercom and Control Applications.
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Tel Aviv University

Dr. Ofer Amrani


Principal Investigator: Dr. Ofer Amrani, School of Electrical Engineering – Systems, Tel Aviv University. The research group includes two graduate research students. The relevant expertise within the research group include: algorithms for generating and decoding of codes; combined coding and modulation, performance evaluation and complexity reduction, modulation methods and resource allocation in fading communication channels. This study examines new random access OFDMA techniques, their detection and performance analysis. Emphasis is placed on achieving the above goal while providing compromise between performance and implementation complexity.
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