LabCompass

Ümit Karabiyik

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2014

Publications

86

Citations

809

Est. group size

~4

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

Ümit Karabiyik works in digital forensics and cybersecurity, focusing on how to extract and analyze evidence from smartphones, apps, and connected devices such as fitness trackers, action cameras, VR headsets, and routers. Recent work also examines privacy and forensic traces left by popular social media, messaging, and AI chatbot apps (like TikTok, WeChat, ChatGPT, and DeepSeek), as well as malware detection using machine learning. This research is relevant to students interested in mobile forensics, app privacy analysis, and applied cybersecurity investigations.

Mobile and app forensicsDigital forensics of emerging technologies (VR, wearables, IoT)Privacy and security analysis of AI and social media appsMalware detection and machine learning for securityCybercrime and social media analysis

Publication output has fluctuated over the past decade, peaking around 2019-2020, dipping in 2022, and rising again in 2025, suggesting a generally steady but variable pace of activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.4/year recently
2017: 4 publications172018: 6 publications182019: 12 publications192020: 14 publications14202021: 10 publications212022: 4 publications222023: 8 publications232024: 7 publications242025: 11 publications252026: 2 publications26
Recent publications
Publishes in
  • Scholarly Commons (Embry–Riddle Aeronautical University)×5
  • Electronics×4
  • arXiv (Cornell University)×4
  • IFIP advances in information and communication technology×3
  • Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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