Dr. Khaled Alhawiti | Parkinson’s Monitoring | Best Researcher Award

Dr. Khaled Alhawiti | Parkinson’s Monitoring | University of Tabuk | Saudi Arabia

Dr. Khaled M. Alhawiti is an accomplished Associate Professor in the Faculty of Computers and Information Technology at the University of Tabuk, recognized for his scholarly contributions in artificial intelligence, natural language processing, and Arabic language processing. He completed his Ph.D. in Computer Science from the University of Wales, Bangor University, where he focused on computational models and language technologies that support intelligent information processing. His academic path includes a Master of Science in Information Technology from the University of Technology Malaysia and a Bachelor’s degree in Computer Science from the University of Jordan, reflecting strong foundations in computing and higher education across multiple countries. Professionally, Dr. Khaled M. Alhawiti has built extensive experience in teaching, mentoring, research development, and academic leadership, actively contributing to curriculum enhancement and collaborative research initiatives within his institution and beyond. His research interests span artificial intelligence, data science, natural language processing, Arabic text modeling, speech-based systems, and intelligent educational technologies. He possesses strong research skills in machine learning, adaptive modeling, text compression techniques, rule-based systems, language preprocessing, and large-scale corpus analysis. His publications have been widely cited and indexed in Scopus and leading AI venues, demonstrating the impact of his contributions to computational linguistics and AI-driven text analysis. Dr. Khaled M. Alhawiti has collaborated on multiple international research activities, contributing to academic exchanges across Saudi Arabia, Malaysia, the United Kingdom, and Jordan, strengthening global partnerships in computer science. His awards and honors include recognition for high-impact publications, contributions to AI education research, and active participation in academic committees and professional societies. He is also associated with leading research communities such as IEEE and ACM, promoting engagement in emerging technological advancements.

Professional Profiles: ORCID | Google Scholar

Featured Publications

Alhawiti, K. M. (2014). Natural language processing and its use in education. 161 citations.
Alhawiti, K. M. (2015). Advances in artificial intelligence using speech recognition. 42 citations.
Alhawiti, K. M. (2014). Adaptive models of Arabic text. 20 citations.
Zerrouki, T., Alhawiti, K., & Balla, A. (2014). Autocorrection of Arabic common errors for large text corpus. 16 citations.
Teahan, W. J., & Alhawiti, K. M. (2015). Preprocessing for PPM: Compressing UTF-8 encoded natural language text. 13 citations.
Elfaki, A. O., Alhawiti, K. M., AlMurtadha, Y. M., Abdalla, O. A., & Elshiekh, A. A. (2014). Rule-based recommendation for supporting student learning-pathway selection. 13 citations.
Alhawiti, K. M. (2014). Adaptive Arabic text modeling using computational techniques. (Derived from thesis-related work). 20 citations.

Mr. Yuxin Fang, chongqing university, China

Yuxin Fang is a doctoral candidate at Chongqing University, specializing in surgical navigation technology. His research focuses on electric field-based surgical navigation, a novel approach that achieves real-time, three-dimensional localization with high precision. He has developed an innovative system that ensures surgical instrument positioning accuracy within 2mm in real tissues, offering a radiation-free and miniaturized solution for medical procedures. His contributions bridge computer science, biomedical engineering, and surgery, significantly advancing automated surgical platforms. With four SCI papers and active collaborations with institutions such as the University of Warwick, UK, and Southwest Hospital, China, Yuxin Fang is dedicated to enhancing surgical precision and medical technology.

Professional Profile:

Summary of Suitability for the Research for Young Scientist Award – Yuxin Fang

Yuxin Fang is a highly suitable candidate for the Research for Young Scientist Award based on his outstanding contributions to the field of surgical navigation and biomedical engineering. His research on electric field-based surgical navigation has led to an innovative system achieving real-time, 3D localization of surgical instruments within 2mm accuracy in real tissues. This breakthrough eliminates the need for radiation-based tracking and enhances the precision of automated surgeries, significantly impacting computer-aided surgery and biomedical instrumentation.

🏢 Work & Research Experience

Doctoral Researcher – Chongqing University 🏥

Developed electric field-based surgical navigation for real-time, 3D localization 🏥📡
Designed a radiation-free, miniaturized system for high-precision surgical instrument positioning 🎯
Integrated system with automated surgical platforms for robotic-assisted procedures 🤖🔬

Research Collaborator

Department of Physics, University of Warwick, UK 🇬🇧 🔬
Center of Critical Care Medicine, Southwest Hospital, Army Medical University, China 🇨🇳 🏥

🏆 Achievements & Contributions

Published 6 peer-reviewed journal papers (SCI, Scopus) 📚✍️

Developed an innovative electric field-based surgical navigation system 🏥⚡

Contributed to 3 consultancy/industry projects 🏗️💼

Editorial Appointment – International Journal of Computer Science and Information Technology ✍️📖

Worked on substation grounding network topology detection and corrosion diagnosis ⚡🛠️