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About Me
About Me
I am Riyadh, a Doctoral Researcher at the CISPA Helmholtz Center for Information Security. I specialize in Mobile Security, Human-Computer Interaction (HCI), and Usable Security, focusing on enhancing privacy-preserving mechanisms in Android. My goal is to bridge technical security and user-centered design, improving user experience in privacy-related decisions.
Currently, I am a member of Trusted Systems Group leads by Dr. Sven Bugiel.
Research Interest
Research Interest
Mobile Security
Human-Computer Interaction
Usable Security and Privacy
Immersive Technology (AR/VR)
Current Position
Current Position
Ph.D. in Computer Science, 2024—Present
Saarland University, GermanyDoctoral Researcher, 2024—Present
CISPA Helmholtz Center for Information Security, Germany
Hobby
Hobby
Coin/Currency Collection
(Over 97+ countries)
Academic Activity
Academic Activity
Thesis Advising
Thesis Advising
Bachelor's
Exploring the Feasibility and Usability of Subconscious Pupillary Responses from RSVP for Secure and Continuous Biometric Authentication in VR. [Ongoing]
Master's
LLM-Aware, Intent-Based Explanations for Android Permission Requests: A User-Centered Research. [Ongoing]
LLM-based permission recommenders for Android OS. [Ongoing]
Publication
Publication
2026 CHI
From Discovery to Decisions: Archetypal Journeys of Mobile App Users and Their Implications on Privacy
Glimpse: In this work, we trace how privacy-related judgments unfold across the mobile app user journey, from discovery to permission decision, and identify recurring archetypal pathways that shape permission-granting decisions. Our findings highlight why privacy must be understood as a sequential, process-driven experience rather than a single moment of choice.
[Read here]
2024 ACNS
Usable Authentication in Virtual Reality: Exploring the Usability of PINs and Gestures
Glimpse: Gesture-based authentication showed higher usability and faster authentication times, especially for users with less VR experience. Findings suggest that developers should favour native interaction methods for VR rather than porting conventional systems like PIN entry.
[Read here]
2017 IHSI
Identify Subconscious Visual Response from Brain Signals
Glimpse: Humans can subconsciously recognize objects within approximately 13 ms during rapid serial visual presentation (RSVP). EEG analysis reveals distinct neural signal bands that correlate with subconscious visual responses, particularly in the occipital lobe. The study indicates that subconscious visual responses occur at a high frame rate, highlighting rapid brain processing of familiar visual information. [Read here]
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