Nicolas E. Diaz Ferreyra
Nicolas Diaz Ferreyra, Dr. Ing.
Anschrift Oststr. 99
Raum BB 918
Telefon +49 203 379 1075
Fax +49 203 379 4490
Email nicolas.diaz-ferreyra[at]uni-due.de
Forschungsschwerpunkte
- Human-computer Interaction
- Software Engineering
- Artificial Intelligence
- Machine Learning
- Privacy and Cybersecurity
- Internet governance
- Public policy development
Nicolas Diaz Ferreyra arbeitet derzeit in den Bereichen nutzbare Privatsphäre und Sicherheit. Er ist Teil des Graduiertenkollegs USCM. Seine Forschung beschäftigt sich mit der Entwicklung von benutzerzentrierten Technologien für die Risikokommunikation und die Sensibilisierung der Privatsphäre in Sozialen Netzwerken. In seiner Doktorarbeit bringt er interdisziplinäres Wissen aus der Informatik und der Medienpsychologie zusammen und konzentriert sich auf Fragen der Benutzerfreundlichkeit, des Risikobewusstseins und der Ethik auf sozialen Plattformen. Aktuell untersucht er den Bereich selbstadaptiver Technologien in Sozialen Netzwerk Apps, sowie präventive Technologien für diese. Seit August 2018 ist er Teil des H2020 Projektes "PDP4E: Methods and Tools for GDPR Compliance through Privacy and Data Protection Engineering".
Vita
| seit 11/15 | Wissenschaftlicher Mitarbeiter am Lehrstuhl Software Engineering |
| 12/13 - 10/15 | M.Sc. Information Systems and Engineering Thema: Model for the definition and management of software platforms for manufactoring companies |
| 12/06 - 11/13 | High Scool Studies, Escuela a Industrial Superior - Universidad Nacional del Litoral, Argentina Spezialisierung: Building Technician |
Projekte
- RTG "User-Centred Social Media" - https://www.ucsm.info/
- H2020 project "PDP4E: Methods and Tools for GDPR Compliance through Privacy and Data Protection Engineering" - https://www.pdp4e-project.eu/
Abschlussarbeiten
Bis März 2021 habe ich leider keine Kapazitäten für die Betreuung von Abschlussarbeiten frei. Sie können sich allerdings gerne schon vorab auf eines der folgenden Themen bewerben bzw. ein eigenes aus einem meiner Forschungsgebiete vorschlagen.
| Thema | Voraussetzungen | Bachelor / Master |
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Methods and technologies for supporting privacy decisions in online social networks.
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Je nach Umfang |
Simulation-based frameworks for assessing COVID-19 countermeasures:
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Je nach Umfang |
Ethics of Artificial Intelligence (AI):
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Je nach Umfang |
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Cybersecurity discussions in Stack Overflow : a developer-centred analysis of engagement and self-disclosure behaviourIn: Social Network Analysis and Mining, Jg. 14, 2024, 16DOI (Open Access)
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Regret, Delete, (Do Not) Repeat : An Analysis of Self-Cleaning Practices on Twitter After the Outbreak of the COVID-19 PandemicIn: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems / CHI '23: CHI Conference on Human Factors in Computing Systems, April 23 - 28, 2023, Hamburg / Schmidt, Albrecht; Väänänen, Kaisa; Goyal, Tesh; Kristensson, Per Ola; Peters, Anicia (Hrsg.). New York: Association for Computing Machinery, 2023, 246DOI (Open Access)
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Community detection for access-control decisions : Analysing the role of homophily and information diffusion in Online Social NetworksIn: Online Social Networks and Media, Jg. 29, 2022, 100203DOI (Open Access)
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ENAGRAM: An App to Evaluate Preventative Nudges for InstagramIn: Proceedings of the 2nd European Symposium on Usable Security, EuroUSEC 2022 / EuroUSEC '22: 2nd European Symposium on Usable Security; 29 - 30 September 2022; Karlsruhe, Germany. New York: Association for Computing Machinery (ACM), 2022, S. 53 – 63DOI, Online Volltext (Open Access)
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Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies 2021 : Proceedings of the 1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies
1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI 2021), 19 August 2021, Montreal,Aachen: RWTH Aachen, 2021
(CEUR Workshop Proceedings ; 2942)Online Volltext (Open Access) -
Balancing trust and privacy in computer-mediated introduction : Featuring risk as a determinant for trustworthiness requirements elicitationIn: ARES 2020: 15th International Conference on Availability, Reliability and Security / International Conference on Availability, Reliability and Security (ARES) ; 3rd Interdisciplinary Privacy and Trust Workshop (iPAT) ; August 25 – August 28, 2020, All-digital Conference / Volkamer, Melanie; Wressnegger, Christian (Hrsg.). New York: Association for Computing Machinery (ACM), 2020, 84
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Persuasion meets AI : Ethical considerations for the design of social engineering countermeasuresIn: Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management: Vol. 3 / 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management ; KMIS 2020 ; 2 - 4 November 2020, online: SciTePress, 2020, S. 204 – 211
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PDP-ReqLite : A Lightweight Approach for the Elicitation of Privacy and Data Protection RequirementsIn: Data privacy management, cryptocurrencies and blockchain technology: ESORICS 2020 International Workshops, DPM 2020 and CBT 2020 ; Guildford, UK, September 17–18, 2020 ; Revised Selected Papers / 15th International Workshop on Data Privacy Management ; DPM 2020 ; September 17–18, 2020, Guildford, UK / Garcia-Alfaro, Joaquin; Navarro-Arnibas, Guillermo; Herrera-Joancomarti, Jordi (Hrsg.). Cham: Springer, 2020, S. 161 – 177DOI, Online Volltext (Open Access)
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Correction: Nicolás E. Díaz Ferreyra, et al.: Preventative nudges: Introducing risk cues for supporting online self-disclosure decisionsIn: Information. Basel: MDPI, Jg. 11, 2020, Nr. 12, 555DOI (Open Access)
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Preventative nudges : Introducing risk cues for supporting online self-disclosure decisionsIn: Information, Jg. 11, 2020, Nr. 8, 399DOI, Online Volltext (Open Access)
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Building Trustworthiness in Computer-Mediated Introduction : A Facet-Oriented FrameworkIn: 11th International Conference on Social Media and Society: Diverse Voices - Promises and Perils of Social Media for Diversity / SMSociety 2020; Virtual, Online; Canada; 22 - 24 July 2020. New York: Association for Computing Machinery (ACM), 2020, S. 39 – 46
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Instructional awareness : a user-centred approach for risk communication in social network sitesDuisburg, Essen, 2019DOI, Online Volltext (Open Access)
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Learning from online regrets : From deleted posts to risk awareness in social network sitesIn: ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization / UMAP 2019; Larnaca; Cyprus; 9 - 12 June 2019. New York: ACM, 2019, S. 117 – 125DOI, Online Volltext (Open Access)
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Manipulation and Malicious Personalization : Exploring the Self-Disclosure Biases Exploited by Deceptive Attackers on Social MediaIn: Frontiers in Artificial Intelligence, Jg. 2, 2019, 26DOI (Open Access)
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Access-Control Prediction in Social Network Sites : Examining the Role of HomophilyIn: Social Informatics: Proceedings, Part II / 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018 / Staab, Steffen; Koltsova, Olessia; Ignatov, Dmitry I. (Hrsg.). Cham: Springer Verlag, 2018, S. 61 – 74
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At Your Own Risk: Shaping Privacy Heuristics for Online Self-disclosureIn: Proceedings of the 6th Annual Conference on Privacy, Security and Trust / PST 2018; Belfast, Northern Ireland; United Kingdom; 28 - 30 August 2018 / McLaughlin, Kieran; Ghorbani, Ali; Sezer, Sakir; Lu, Rongxing; Chen, Liqun (Hrsg.). Piscataway Township: Institute of Electrical and Electronics Engineers Inc., 2018, S. 8514186
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Rethinking Summarization and Storytelling for Modern Social MultimediaIn: MultiMedia modeling: Proceedings, Part I / 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018 / Schoeffmann, Klaus; Chalidabhongse, Thanarat H.; Ngo, Chong Wah; Aramvith, Supavadee; O'Connor, Noel E.; Ho, Yo-Sung (Hrsg.). Berlin: Springer, 2018, S. 632 – 644DOI, Online Volltext (Open Access)
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Should user-generated content be a matter of privacy awareness? : A position paperIn: IC3K 2017 - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management / IC3K 2017; Funchal, Madeira; Portugal; 1 -3 November 2017: SciTePress, Jg. 3, 2017, S. 212 – 216
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Online self-disclosure : From users’ regrets to instructional awarenessIn: Machine Learning and Knowledge Extraction: Proceedings / First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017 / Holzinger, Andreas; Kieseberg, Peter; Tjoa, A Min; Weippl, Edgar R. (Hrsg.). Berlin: Springer Verlag, 2017, S. 83 – 102
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Aktuelle Veranstaltungen
Keine aktuellen Veranstaltungen.
Vergangene Veranstaltungen (max. 10)
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