ד"ר אביעד אלישר

 Complex networks (centrality, embedding, classification, alignment)

 Cyber security in industrial control systems

 Machine and deep learning

 NLP (Text Analysis, Large Language Models)

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: Prof. Rami Puzis, and 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, and Dr. Michael Fire.

2008- 2012 Ben-Gurion University. B.Sc. degree.

B.Sc. degree at the Department of Software and Information System Engineering.

Introduction to Machine Learning
Introduction to Data Science
Introduction to Data Mining
Computer and Network Security
Introduction to Complex Networks
Introduction to Social Networks
Python

Peer reviewed papers

1. Conferences

[1] Aviad Elyashar, Jorge Bendahan, and Rami Puzis. Detecting Clickbait in Online Social Media: You Won't Believe How We Did It. International Symposium on Cyber Security, Cryptology, and Machine Learning (CSCML) 2022, pages 377-387, Springer.

[2] Liav Bachar, Aviad Elyashar, and Rami Puzis. Learning Routing Centrality. Complex Networks 2021, November 30 - December 2, 2021 Madrid, Spain.

[3] Aviad Elyashar, Sagi Uziel, Abigail Paradise, and Rami Puzis. The Chameleon Attack: Manipulating Content Display in Online Social Media.  WWW2020 (A* conference), Taipe, Taiwan, 2020.

[4] Aviad Elyashar, Maor Reuben, and Rami Puzis. Iterative Keyword Optimization. SBP-BRiMS 2019: 2019 International Conference on Social Computing Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation, Washington DC, USA.

[5] Aviad Elyashar, Jorge Bendahan, and Rami Puzis. Detecting Clickbait in Online Social Media: You Won't Believe How We Did It. Clickbait Challenge 2017, Weimar, Germany.

[6] A. Elyashar, J. Bendahan, and Rami Puzis. Is the News Deceptive? Fake News Detection Using Topic Authenticity. The Seventh International Conference on Social Eco-Informatics (SOTICS), Athens, Greece, October, 2017.

[7] Aviad Elyashar, Jorge Bendahan, and Rami Puzis. Measurement of Online Discussion Authenticity Within Online Social Media. In: Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (B conference), Sydney, Australia, 627-629.

[8] Aviad Elyashar, Michael Fire, Dima Kagan, and Yuval Elovici. Homing Socialbots: Intrusion on a Specific Organizations Employee Using Socialbots.  In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (B conference), Niagara Falls, Ontario, Canada, August 2013, 1358-1365.

[9] Dima Kagan, Michael Fire, Aviad Elyashar, and Yuval Elovici. Facebook Applications Installation and Removal-Temporal Analysis. The Third International Conference on Social Eco-Informatics (SOTICS), November 2013, Lisbon, Portugal.

[10] Aviad Elyashar, Michael Fire, Dima Kagan, and Yuval Elovici. Organizational Intrusion: Organization Mining Using Socialbots. 2012 International Conference on Social Informatics (SocialInformatics) (B conference), Lausanne, Switzerland, December 2012, 7-12.

[11] Michael Fire, Dima Kagan, Aviad Elyashar, and Yuval Elovici. Social Privacy Protector - Protecting Users’ Privacy in Social Networks. The Second International Conference on Social Eco-Informatics (SOTICS), October 2012, Venice, Italy, 46-50.

2. Journals

[1] Ortal Slobodin, Ilia Plochotnikov, Idan-Chaim Cohen, Aviad Elyashar, Odeya Cohen, and Rami Puzis. Global and Local Trends Affecting the Experience of US and UK healthcare Professionals During COVID-19: Twitter Text Analysis. International Journal of Environmental Research and Public Health (IJERPH) (Q1) Volume 19, 2022.

[2] Maor Reuben, Aviad Elyashar, and Rami Puzis. Iterative Query Selection for Opaque Search Engines with Pseudo Relevance Feedback. Expert Systems with Applications (Q1), Volume 201, 2022.

[3] Aviad Elyashar, Ilia Plochotnikov, Idan-Chaim Cohen, and Rami Puzis, and O. Cohen. The State of Mind of Health Care Professionals in Light of the COVID-19 Pandemic: Text Analysis Study of Twitter Discourses.  Journal of Medical Internet Research (Q1), 2021.

[4] Aviad Elyashar, Rami Puzis, and Michael Fire. It Runs in the Family: Unsupervised Algorithm for Alternative Name Suggestion Using Digitized Family Trees, IEEE Transactions on Knowledge and Data Engineering Journal (Q1), 2021.

[5] Aviad Elyashar, Rami Puzis, and Michael Fire. How Does That Name Sound? Name Representation Learning Using Accent-Specific Speech Generation. Knowledge-Based Systems Journal (Q1), 2021

[6] Abigail Paradise, Asaf Shabtai, Rami Puzis, Aviad Elyashar, Yuval Elovici, Mehran Roshandel, and Christoph Peylo. Creation and Management of Social Network Honeypots for Detecting Targeted Cyber Attacks. IEEE Transactions on Computational Social Systems (Q1), vol. 4, no. 3, 65-79, 2017.

[7] Aviad Elyashar, Michael Fire, Dima Kagan, and Yuval Elovici. Guided Socialbots: Infiltrating the Social Networks of Specific Organizations' Employees. AI Communications (Q4), vol. 29, no. 1, 2014, 87-106.

[8] Michael Fire, Dima Kagan, Aviad Elyashar, and Yuval Elovici. Friend or Foe? Fake Profile Identification in Online Social Networks. Springer Journal of Social Network Analysis and Mining (SNAM) (Q2), 2014, vol. 4, 1-23.

3. Local Conferences

[1] Aviad Elyashar. Machine Learning Algorithms for Improving Alternative Name Suggestion. 1st IEEE Conference on Machine Learning in Engineering at SCE, 2022.

[2] Aviad Elyashar. State of Mind of Healthcare Professionals in Social Media during COVID-19. Applied IEM Workshop at SCE, 2022.

[3] Aviad Elyashar, Asaf Kamer, and Stav Sabag. User Property Change: Analysis Study on Twitter. 2nd IEEE Conference on Machine Learning in Engineering at SCE, 2023.

[4] Aviad Elyashar, and Safaa Azbarga. The State of Mind of Arabic Healthcare Professionals in the Light of the COVID-19 Pandemic: Text Analysis Study of Twitter Discourses. 2nd IEEE Conference on Machine Learning in Engineering at SCE, 2023.

[5] A. Elyashar, and Maxim Vainer. Topic Cohesion: Detecting the Most Coherent Topics Using Machine Learning and Network Science. 2nd IEEE Conference on Machine Learning in Engineering at SCE, 2023.

[6] Aviad Elyashar, and Abed Madi. Automatic Detection and Analysis of Anti-Vaccine Users on Twitter. 2nd IEEE Conference on Machine Learning in Engineering at SCE, 2023.

[7] Shlomo Greenberg, Aviad Elyashar, Yochai Twitto, and Genady Kogan. ChatGPT Demonstration. Innovation and Research Week in Soroka Hospital, Beer-Sheva, Israel, 2023.

[8] Aviad Elyashar. Detection and Analysis of Censorship and Moderation within Online Social Networks. SCE Annual Research Conference, 2023.

[9] Aviad Elyashar. The Chameleon Attack: Manipulating Content Display in Online Social Networks. Applied IEM Workshop at SCE, 2023.

4. Patents

[1] Rami Puzis, Aviad Elyashar, and Maor Reuben. Method and System for Interactive Keyword Optimization for Opaque Search Engines. US Patent App. 17/854,917 (2022).

[2] Michael Fire, Yuval Elovici, Aviad Elyashar, and Dima Kagan. Method for Protecting User Privacy in Social Networks. US Patent, Application no. 13688276. 2014/05/29 (2014).

2013    B.Sc. Excellent Project Award. Department of Software and Information Systems Engineering, Ben-Gurion University.

2016    M.Sc. Research Excellence Award. Department of Software and Information Systems Engineering, Ben-Gurion University.

2018     Excellence scholarship. Kreitman’s Negev scholarship.

2019     First Place in Imperva Challenge in DMBI Data Hackathon (5,000 NIS).

2021    Ph.D. Research Excellence Award (7,000 NIS). Department of Software and Information Systems Engineering, Ben-Gurion University.

2021    Certificate of excellence for academic achievements in Ph.D. studies from Kreitman School of Advanced Graduate Studies, Ben-Gurion University

2022    SCE Young Researcher Grant for detection and Analysis of censorship and moderation with online social networks (60,000 NIS)