Onuralp Ulusoy

ORCID: 0000-0003-3737-7947
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About
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Research Areas
  • Privacy, Security, and Data Protection
  • Privacy-Preserving Technologies in Data
  • Access Control and Trust
  • Internet Traffic Analysis and Secure E-voting
  • Mobile Crowdsensing and Crowdsourcing
  • Complex Network Analysis Techniques
  • Robotic Locomotion and Control
  • Robotic Path Planning Algorithms
  • Team Dynamics and Performance
  • Cybercrime and Law Enforcement Studies
  • Evacuation and Crowd Dynamics
  • Blockchain Technology Applications and Security
  • Data Visualization and Analytics
  • Opinion Dynamics and Social Influence
  • Sharing Economy and Platforms
  • Innovative Human-Technology Interaction
  • Transportation and Mobility Innovations
  • Technology Adoption and User Behaviour
  • Auction Theory and Applications

Utrecht University
2019-2023

Boğaziçi University
2018

Online shared content, such as group pictures, often contains information about multiple users. Developing technical solutions to manage the privacy of "co-owned" content is challenging because each co-owner may have different preferences. Recent approaches advocate group-decision mechanisms, including auctions, decide how best resolve these differences. However, it not clear if users would participate in mechanisms and they do, whether act altruistically. Understanding dynamics crucial...

10.48550/arxiv.2502.10788 preprint EN arXiv (Cornell University) 2025-02-15

Privacy is the right of individuals to keep personal information themselves. When use online systems, they should be given decide what would like share and private. a piece pertains only single individual, preserving privacy possible by providing access options user. However, when multiple individuals, such as picture group friends or collaboratively edited document, deciding how this with whom challenging. The problem becomes more difficult who are affected have different, possibly...

10.1145/3471187 article EN ACM Transactions on Internet Technology 2021-09-14

Collaborative systems, such as online social networks or Internet of Things, host vast amounts content that is created and manipulated by multiple users. Co-edited documents group pictures are prime examples co-owned content. Respecting privacy users in collaborative systems difficult because the co-owners shared can have conflicting access policies about To address this problem, recent approaches employ decision making techniques, auctions. With these approaches, when a to be shared, all...

10.1145/3381991.3395601 article EN 2020-05-29

In this paper, we propose an adaptive team formation strategy for humanoid robot soccer. The proposed involves distributed cooperative decisions through both communication and observations. Two agent groups, namely defenders attackers, are formed by a case-based group method. Attackers constructing attacking around the ball scoring goal whenever possible while blocking defensive obstacle against opponent team. Cooperative made using among members. Distribution of agents on field is ensured...

10.5220/0003881006050613 article EN cc-by-nc-nd Proceedings of the 14th International Conference on Agents and Artificial Intelligence 2011-01-01

Although most existing recommender systems support single users, there are many scenarios where these target the needs of groups. Traits such as group mood, emotional contagion, and interpersonal relationships often ill-defined characteristics, tend to mutate over time, usually missing from systems' modeling, even though they play an indispensable part in modeling. Furthermore, producing timely accurate recommendations for groups that explainable, fair, privacy-protecting is a notoriously...

10.1145/3563359.3595628 article EN 2023-06-16
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