Turke Althobaiti

Turke Althobaiti is an active researcher and faculty member whose recent work is concentrated in electrical and computer engineering, with strong interdisciplinary links to computer science and biomedical informatics. Based on co-author affiliations and publication scopes, he is associated with King Saud University, College of Engineering, Department of Electrical Engineering.

Research Interests:

• Design of UHF RFID antennas and Internet-of-Things sensing systems.
• Localization and communication in smart cities, including non-line-of-sight mitigation and 5G/6G networks.
• Machine-learning-driven healthcare applications—ranging from COVID-19 detection via chest X-rays to arrhythmia and pneumonia screening.
• Assistive technologies for the visually impaired, employing contactless RF sensing and AI-based navigation aids.
• Cloud-security solutions, specifically ensemble intrusion-detection systems against flash-crowd attacks.
• Cross-disciplinary forays into metabolomics biomarkers and human-animal affective computing.

Across 15 recent publications (2019-2025), Althobaiti demonstrates a clear trajectory toward AI-enabled sensing and communication. Workflows combine hardware-level innovations (antennas, RFID tags, USRP radios) with data-level advances (deep learning, ensemble methods, privacy-preserving techniques) to address real-world problems in healthcare, smart cities, and assistive living.

Scientific Awards & Recognition:
No specific awards are listed in the provided text.

Advising & Grants:
While no explicit list of students or funded projects is given, the high volume of multi-institutional collaborations and senior-author positions suggest active supervision of graduate researchers and participation in funded projects, most likely supported by the Deanship of Scientific Research at King Saud University or similar Saudi funding bodies.

Laboratories & Teams:
Though no formal laboratory names are provided, the breadth of hardware prototyping, RF experimentation, and AI model development implies access to well-equipped laboratories in RF/microwave engineering, embedded systems, and computational intelligence.