Prof. Yuval Elovici

Yuval Elovici is the head of the Cyber Security Labs and a Professor at the Department of Information Systems Engineering of Ben-Gurion University. He holds B.Sc and M.Sc degrees in Computer and Electrical Engineering from the Ben-Gurion University, and Ph.D in Information Systems from Tel-Aviv University. He served as the head of the Software Engineering program at Ben-Gurion University for two and a half years. Prof. Elovici also professionally consults in the area of the cyber security. In the last eight years he has lead the cooperation between Ben-Gurion University and Deutsche Telekom. In addition, he has published more than 55 referred journal papers in leading journals, published over 100 papers in various referred conferences and co-authored a book on social network security and a book on information leakage detection and prevention. His main research interests are Computer and Network Security, Cyber Security, Web Intelligence, Information Warfare, Social Network Analysis and Machine Learning.

 

Mr. Dudu Mimran

Mr. Dudu Mimran is the CTO of Telekom Innovation Laboratories and CTO of Cyber Security Research Center @ Ben Gurion University.

 

Dr. Oded Margalit

Dr. Oded Margalit (PhD in Computer science from Tel Aviv University, 1993) is the CTO of IBM CCoE (Cybersecurity Center of Excellence) in Beer-Sheva Israel. He has decades of experience in cyber, worked in Machine Learning projects, CSP (Constraints Satisfaction Problems), MCDM (Multi Criteria Decision Making), and more.

As part of community relations, he is involved computer programming competitions like CodeGuru (organizing it since 1999), IEEEXtreme (a Judge since 2008), NYU CSAW CTF-2017 (New York University Cyber Security Awareness Week Capture The Flag competition) etc.

He is also (since 2007) the author of IBM research PonderThis monthly challenge where thousands of people around the world try to solve mathematical problems.

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Dr. Asaf Shabtai

Asaf is R&D Project Manager and a Researcher at Deutsche Telekom Innovation Labs and Assistant Professor at the Department of Information Systems Engineering at Ben-Gurion University.
His main research interests are in the fields of Machine Learning, Data Mining, Temporal Data Mining Recommender Systems, Cyber Security, Fraud Detection, Customer Analytics and Social Network.

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Dr. Rami Puzis

Dr. Rami Puzis, is a young faculty in the department of Information Systems Engineering at Ben-Gurion University. Rami has received BSc degree in Software Engineering and MSc degree in Information Systems Engineering from Ben-Gurion University in 2007. His PhD thesis focused on "Optimizing the Deployment Strategy of Distributed Network Intrusion Detection Systems (DNIDS) in Large-Scale Communication Networks". During 2011 Rami worked as a research associate in the Laboratory of Computational Cultural Dynamics, University of Maryland, under the supervision of Prof. V.S. Subrahmanian. 

His primary specialization is in the area of complex network analysis with applications to cyber security. Rami have authored 11 journal articles 5 book chapters and 20 peer reviewed papers in leading conferences.  

Since 2007 Rami was a principal investigator / project manager of a dozen research projects funded by Deutsche Telekom AG, Israeli Ministry of Defense, Israeli Ministry of Trade and Commerce, and several leading cyber security industries in Israel.

 

Prof. Danny Hendler

Danny Hendler received his B.Sc. degree in Mathematics and Computer Science in 1986, and his M.Sc. and Ph.D. degrees in Computer Science in 1993 and 2004, respectively, all from Tel-Aviv University.

Prof. Hendler returned to Academy in 2001 after working for 18 years in the Israeli high-tech industry in technical and managerial positions. He is presently with the department of Computer Science at Ben-Gurion University of the Negev. Before joining Ben-Gurion University, he has been a post-doctoral research associate at the University of Toronto and at the Technion, Israel Institute of Technology. His key research interests are distributed and parallel computation, anomaly detection, social networks and computer networks.

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Prof. Bracha Shapira

Prof. Shapira’s research interests include user profiling, privacy preservation, data leakage, anomaly detection and other cyber security aspects.  She is involved in cyber security research projects with industry and government entities and is a senior researcher at the at the Deutsche Telekom Laboratories at BGU.  She also supervises a large group of research students in the field. 

Prof. Shapira has published more than 100 papers in scientific journals and conferences and has been involved in inventing registered patents in the field.  Prof. Shapira serves as a consultant to companies in the field and is a member in professional cyber security forums.

 

Dr. Nir Nissim

Dr. Nir Nissim is a researcher and the Head of the Malware Lab at the Cyber Security Research Center at BGU. In 2016, Dr. Nissim completed his Ph.D. with honors at BGU’s Department of Information Systems Engineering; he received a prestigious prize in recognition of his ranking as the Faculty of Engineering Sciences’ top doctoral student in 2016. During his Ph.D. research, Dr. Nissim won several best paper awards in top ranked scientific international conferences and awards of excellence at BGU, and he was one of the few doctoral students at BGU to win an exclusive doctoral cyber security scholarship granted by the Israeli Cyber Security Bureau. Dr. Nissim published several noteworthy papers dealing with the development of a generic active learning framework aimed at the detection and acquisition of various types of malware in a variety of platforms. Dr. Nissim is recognized as an expert in information systems security and machine learning solutions and has been leading several large-scale research projects in the field, including collaborative projects between academia and industry. His main areas of interests are mobile and computer security, machine learning, and data mining. In addition to his contributions to the cyber security domain, Dr. Nissim is also interested in the biomedical informatics domain, in which he has published number of papers regarding the efficient classification of condition severity. Dr. Nissim is also a lecturer on cyber security and machine learning topics, both in the Information Systems Engineering Department at BGU, as well as in the Industrial Engineering and Management Department at Tel Aviv University. In addition, Dr. Nissim is the Head of the ICSML program, which is an international cyber-security and Machine learning academic and professional program for international students.

 

Mr. Ran Yahalom

Ran Yahalom is a Researcher at the Malware Lab. His research currently focuses on the security of peripheral bus communication protocols (e.g., USB). Ran's primary areas of interest include: anomaly detection of discrete data sequences, application of biological and immunological defense mechanisms to cyber security, data mining, and machine learning. Ran holds B.Sc. and M.Sc. degrees in computer science and bioinformatics and is currently studying for a Ph.D. degree in cyber security at BGU.

 

Mr. Shachar Siboni

Shachar Siboni received his B.Sc. and M.Sc. degrees in communication systems engineering from Ben-Gurion University of the Negev (BGU), and he is working toward his Ph.D. in the university’s department of information systems engineering. Shachar is currently leading a joint research project with a research group from the iTrust Centre for Research in Cyber Security at Singapore University of Technology and Design (SUTD).  He also serves as a project manager of the Internet of Things Security Research Project (IoTSRP) at BGU’s Cyber Security Research Center (CSRC). Shachar has almost 10 years of experience in a variety of roles at leading companies in the hi-tech industry, ranging from IT technical leader, communication systems engineer, to real-time embedded software engineer/developer, and team leader.  His research interests include security vulnerability assessment, security risk analysis, and network security approaches in the Internet of Things (IoT) research domain.