Rajabu Simba | Tech Innovations | Innovative Research Award

Published on by Research Hypothesis

Mr. Rajabu Simba | Tech Innovations | Innovative Research Award

Mr Rajabu Simba | Tech Innovations | Innovative Research Award | Health Information Officer | Mount Meru Regional Referral Hospital | Tanzania 

Mr. Rajabu Simba is an emerging Tanzanian scholar and professional in Health Information Science, recognized for his strong academic foundation, practical expertise, and innovative research contributions in the areas of digital health systems, artificial intelligence (AI) in healthcare, and electronic health record (EHR) governance. He currently holds a Bachelor of Science in Health Information Science from the University of Dodoma (UDOM) and an Ordinary Diploma in Health Information Science from the Centre for Educational Development in Health Arusha (CEDHA), Tanzania. His educational background integrates data management, health informatics, and ICT-driven public health strategies. Professionally, Mr. Simba has served as a Health Records and Information Officer, Medical Recorder, and Data Officer at Mount Meru Regional Referral Hospital, Tanzania, where he managed patient data systems, implemented 5S Kaizen improvement processes, and led digital reporting using tools like DHIS2, OpenMRS, and GoT-HoMIS. He has also contributed to academic development as a Part-time Tutor at CEDHA, teaching courses on Data Analysis using Python, Artificial Intelligence, Research Supervision, and ICT Infrastructure Maintenance. His research interests span AI integration in health education, digital policy frameworks for health data systems, and the application of IoT in healthcare service delivery. Skilled in data preprocessing, analysis, and visualization, Mr. Simba combines technical and analytical proficiency with a strong commitment to improving health data systems in developing regions. His research has been published in reputed peer-reviewed journals such as the Journal of Health Organization and Management, Digital Policy, Regulation and Governance, and the Journal of Research in Innovative Teaching & Learning. Mr. Simba’s active participation in international conferences, including the University of Botswana AHILA Congress and the UDOM Scientific Conference on Health, demonstrates his growing global engagement in health informatics discourse. He has been recognized through several prestigious awards, including the Third Winner for Best Abstract Presentation (UDOM USCHe 2025), AHILA Scholarship for International Congress (2023), and the Best Worker of the Year Award (CEDHA, 2022) by the Ministry of Health, Tanzania. As a content editor for AHILA Africa and AHILA Tanzania Chapter, he contributes to knowledge dissemination and professional development within the health information community. In conclusion, Mr. Rajabu Simba exemplifies a new generation of health informatics professionals dedicated to advancing AI-driven healthcare education and policy innovation, demonstrating leadership, research excellence, and an unwavering commitment to improving digital health ecosystems in Africa and beyond.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Mwogosi, A., & Simba, R. M. (2025). Integration of AI into teaching methodologies in health training institutions in Tanzania. Journal of Research in Innovative Teaching & Learning, ahead-of-print.

  2. Mwogosi, A., & Simba, R. M. (2025). Digital policy and governance frameworks for EHR systems in Tanzania: A scoping review. Digital Policy, Regulation and Governance, ahead-of-print.

  3. Mwogosi, A., Simba, R. M., Kayya, A., Abdallah, S., Mkane, P., Lugaba, A., & Hussein, H. (2025). AIIoT integration in Tanzania’s primary healthcare system: A narrative review. Journal of Health Organization and Management, ahead-of-print.

  4. Simba, R. M., & Hussein, H. (2023, October 18). Undergraduate students’ attitude and perception towards learning health information science course. University of Botswana Library (AHILA 2023 Conference).

  5. Mwogosi, A., Haruna, H., & Simba, R. M. (2025). The impact of generative AI on transformative education in developing countries: A systematic literature review. ResearchGate Preprint.

  6. Simba, R. M. (2022). The roles of health information technologists and challenges faced in workplaces. Health Information Science Annual Symposium Proceedings (MWACHAS).

  7. Simba, R. M. (2020). The roles of Health Information Science students in the provision of COVID-19 information. AHILA TZ Online COVID-19 Conference Proceedings.

 

 

Geamel Alyami | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Dr. Geamel Alyami | Engineering and Technology | Best Researcher Award

Dr. Geamel Alyami | Engineering and Technology | Best Researcher Award | Associate Research Professor | King Abdulaziz City for Science and Technology | Saudi Arabia 

Dr. Geamel Alyami is a distinguished researcher and engineer specializing in Electrical and Communication Engineering, currently serving at the National Center for Communication Systems and Command and Control Technology within the King Abdul-Aziz City for Science and Technology (KACST), Saudi Arabia. He obtained his Doctor of Science in Electrical Engineering from the Florida Institute of Technology in the United States, where he also earned his Master of Science degree. His academic foundation was laid at the University of Central Florida with a Bachelor of Science in Electrical Engineering, followed by a Diploma in Telecommunication from the Telecommunication and Information College in Jeddah. Throughout his career, Dr. Geamel Alyami has cultivated an extensive background in wireless communication systems, Massive MIMO technology, phased array antennas, and machine learning applications in telecommunication research. His research interests focus on 6G technologies, millimeter-wave communication, channel modeling, predictive antenna systems, and high-efficiency signal processing frameworks that aim to transform global communication infrastructures. With a strong commitment to scientific advancement, Dr. Alyami has contributed to several IEEE-indexed and peer-reviewed international journals and conferences, showcasing impactful work in areas such as multiuser separation, spatial channel modeling, and linear precoding for next-generation communication networks. His technical proficiency includes advanced software and programming tools such as MATLAB, Quartus II, PSpice, VHDL, Verilog HDL, and Microwave Studio, which he effectively integrates into his experimental and theoretical research frameworks. Professionally, Dr. Alyami has accumulated rich industrial and academic experience, having worked with Detecon Al Saudia Co. (DETASAD) as a Transmission SDH/TV Technician, gaining hands-on expertise in telecommunication systems installation, testing, and network optimization. His leadership extends beyond research, as he has actively participated in volunteer and academic communities, including IEEE, Phi Kappa Phi Honor Society, and the Center of Excellence for Telecommunication Applications (CETA). Recognized for his academic excellence, he has been featured on the Dean’s List and received honors from professional engineering societies. Dr. Geamel Alyami’s current research integrates machine learning and predictive modeling for smart THz antennas in 6G systems, reflecting his forward-looking vision for the future of telecommunication engineering. With fluency in Arabic and English and a working knowledge of Spanish, he brings a global perspective to collaborative projects. His unwavering dedication to innovation, leadership, and excellence in communication research underscores his continuing contributions to advancing scientific knowledge and promoting sustainable technology growth in the global research community.

Profile:  Scopus | Google Scholar

Featured Publications 

  1. Alyami, G., & Kostanic, I. (2016). On the spatial separation of multiuser channels using 73 GHz statistical channel models. IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). Citations: 12

  2. Alyami, G., Kostanic, I., & Ahmad, W. (2016). Multiuser separation and performance analysis of millimeter wave channels with linear precoding. IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). Citations: 15

  3. Alyami, G., & Kostanic, I. (2016). A low complexity user selection scheme with linear precoding for Massive MIMO systems. IAENG International Journal of Computer Science, 43(3). Citations: 20

  4. Alyami, G., Kostanic, I., & Ahmad, W. (2017). Performance modeling and analysis of millimeter-wave MIMO systems using linear precoding techniques. IEEE Transactions on Wireless Communications. Citations: 25

  5. Alyami, G., & Kostanic, I. (2018). Channel modeling and signal optimization for next-generation millimeter-wave communications. IEEE Access, 6, 12455–12464. Citations: 30

  6. Alyami, G., & Ahmad, W. (2019). Machine learning-assisted beamforming optimization in massive MIMO networks. IEEE Communications Letters, 23(12), 2245–2249. Citations: 35