ד"ר אביעד אלישר

ד"ר אביעד אלישר

Aviad is a lecturer at the Computer Science Department in Sami Shamoon College of Engineering. He received Ph.D., BSc, and MSc from the Software and Information Systems Engineering Department at Ben-Gurion University in 2012, 2015, and 2022, respectively.  Aviad's main interests are in the fields of social media, online social networks, complex networks, machine and deep learning, and cyber security

פרופיל

מדעי המחשב
מרצה
אשדוד | באר שבע
חדר

באר שבע

317 איינשטיין (40)
אתר

עמודים אישיים

גוגל סקולר

השכלה

2018 – 2021 Ben-Gurion University. PhD degree.
PhD degree at the Department of Software and Information System.
Specialization: Methods for Improving Targeted Data Collection on Online Social Networks.
Advisors: Dr. Rami Puzis, Dr. Michael Fire

 

2013- 2015 Ben-Gurion University. M.Sc. degree.
M.Sc. degree at the Department of Software and Information System.
Specialization: The Security of Organizations and Individuals in Online Social Networks.
Advisors: Prof. Yuval Elovici, Dr. Michael Fire
Final average: 87.42

 

B.Sc. degree at the Department of Software and Information System
Final average: 81.21

קורסים

Principles of Data Science
Python
Machine Learning
Cyber Security

פרסומים

Peer reviewed papers

Social Privacy Protector - Protecting Users’ Privacy in Social Networks. M. Fire, D. Kagan, A. Elyashar, and Y. Elovici. The Second International Conference on Social Eco-Informatics (SOTICS), October 2012, Venice, Italy, 46-50.
Organizational Intrusion: Organization Mining Using Socialbots.  A. Elyashar, M. Fire, D. Kagan, and Y. Elovici. 2012 International Conference on Social Informatics (SocialInformatics), Lausanne, Switzerland, December 2012, 7-12.
Facebook Applications Installation and Removal-Temporal Analysis. D. Kagan, M. Fire, A. Elyashar, and Y. Elovici. The Third International Conference on Social Eco-Informatics (SOTICS), November 2013, Lisbon, Portugal.
Friend or Foe? Fake Profile Identification in Online Social Networks. M. Fire, D. Kagan, A. Elyashar, and Y. Elovici. Springer Journal of Social Network Analysis and Mining (SNAM), 2014, vol. 4, 1-23.
Homing Socialbots: Intrusion on a Specific Organizations Employee Using Socialbots.  A. Elyashar, M. Fire, D. Kagan, and Y. Elovici.  In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Ontario, Canada, August 2013, 1358-1365.
Guided Socialbots: Infiltrating the Social Networks of Specific Organizations' Employees.  A. Elyashar, M. Fire, D. Kagan, and Y. Elovici. AI Communications, vol. 29, no. 1, IOS Press, 2014, 87-106.
Creation and Management of Social Network Honeypots for Detecting Targeted Cyber Attacks. A. Paradise, A. Shabtai, R. Puzis, A. Elyashar, Y. Elovici, M. Roshandel, and C. Peylo. IEEE Transactions on Computational Social Systems, vol. 4, no. 3, 65-79, 2017.
Measurement of Online Discussion Authenticity Within Online Social Media. A. Elyashar, J. Bendahan, and R. Puzis. In: Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Sydney, Australia, 627-629.
Is the News Deceptive? Fake News Detection Using Topic Authenticity. A. Elyashar, J. Bendahan, and R. Puzis. The Seventh International Conference on Social Eco-Informatics (SOTICS), Athens, Greece, October, 2017.
Detecting Clickbait in Online Social Media: You Won't Believe How We Did It. A. Elyashar, J. Bendahan, and R. Puzis. Clickbait Challenge 2017, Weimar, Germany.
Iterative Keyword Optimization. A. Elyashar, M. Reuben, and R. Puzis. SBP-BRiMS 2019: 2019 International Conference on Social Computing Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation, Washington DC, USA.
The Chameleon Attack: Manipulating Content Display in Online Social Media. A. Elyashar, S. Uziel, A. Paradise, and R. Puzis. WWW2020, Taipe, Taiwan, 2020.
How Does That Name Sound? Name Representation Learning Using Accent-Specific Speech Generation. A. Elyashar, R. Puzis, and M. Fire. Knowledge-Based Systems Journal, 2021
Learning Routing Centrality. Liav Bachar, Aviad Elyashar, and Rami Puzis. Complex Networks 2021, November 30 - December 2, 2021 Madrid, Spain.

Other publications/reports

The Security of Organizations and Individuals in Online Social Networks. M. Sc. Thesis. Advised by Prof. Yuval Elovici, and Michael Fire, Ben-Gurion University of the Negev, Beer Sheva, Israel.