announcement
As part of ongoing research activities in intelligent surveillance and autonomous systems, MSc…
introduction/brief CV
Applied AI researcher and Assistant Professor specializing in software engineering, human factors, and intelligent systems. Experienced in leading funded projects in autonomous systems, AI‑powered wearables, and data governance. Proven track record supervising award-winning innovation projects, building strategic partnerships, and applying AI in high-stakes domains including navigation, text intelligence, and human‑AI interaction. Passionate about translating research into scalable, secure, and responsible AI solutions for national impact.
areas of expertise
Dr. Ohoud Alharbi’s expertise lies at the intersection of Human-Centered Artificial Intelligence, Software Engineering, and Intelligent Systems Design. Her work focuses on designing and evaluating AI-driven technologies that are usable, trustworthy, and aligned with real human needs.
publications
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Medication adherence and safety remain major healthcare challenges for elderly populations, particularly within Arabic-speaking communities. Managing multiple prescriptions (polypharmacy) often…
This study investigates the relationship between the HEXACO personality traits and text entry behaviors in composition and transcription tasks. By analyzing metrics such as entry speed, accuracy,…
Vegetation degradation in arid and semi-arid regions is intensifying due to rising temperatures, declining rainfall, soil exposure, and persistent human pressures. Drylands cover over 41% of the…
courses
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Introduction and background of Software Usability engineering concepts. This includes measuring usability, Heuristic evaluation, Video recorded evaluation, Task analysis, Cognitive walkthroughs…
The course will first introduce, discuss, and classify various software engineering research methods and approaches. Then the course will focus on the principles, main practices and technologies…
The student selects a research topic, and conduct a research study on the topic. The student submits a detailed report at the end of these courses.
office hours
| Saturday | Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | |
|---|---|---|---|---|---|---|---|
| from | _ | 11:00 AM | _ | 11:00 AM | _ | 11:00 AM | _ |
| to | _ | 12:00 PM | _ | 12:00 PM | _ | 12:00 PM | _ |
| location | _ | Building 6 (female), Third floor, office 57 Building 6 (female), Third floor, office 57 | _ | Building 6 (female), Third floor, office 57 Building 6 (female), Third floor, office 57 | _ | Building 6 (female), Third floor, office 57 ( by appointments) Building 6 (female), Third floor, office 57 ( by appointments) | _ |