Mr. Jonas Muheki is a physicist specializing in biological and medical physics with a strong research focus on developing innovative cancer therapy modalities using light, electric, and magnetic fields through opto-electromagnetic approaches. His work integrates theoretical, computational, and experimental physics to advance biomedical applications, particularly in biophysics, bioelectromagnetism, optoelectronics, and novel therapeutic and diagnostic platforms. He has made substantial contributions to photonics, plasmonic metasurfaces, terahertz biosensors, optical and solar absorbers, and machine learning–assisted material design, with a well-established publication record that has achieved significant international citation impact. His research outputs demonstrate interdisciplinary strength, combining nanomaterials, graphene-based structures, metamaterials, and artificial intelligence for sensing, biosensing, biomedical diagnostics, environmental monitoring, and energy-related applications. Professionally, he has extensive academic and laboratory experience as a graduate research assistant, contributing to imaging innovations, cancer-oriented biophysical research, computational modeling, and experimental design while also mentoring junior researchers and supporting laboratory training. His teaching experience spans undergraduate and diploma-level physics, including classical mechanics, electromagnetism, relativity, solar and energy physics, laboratory instruction, and applied physics courses, supported by a strong commitment to pedagogy, curriculum support, and student mentoring. He has also contributed as a peer reviewer for international journals, demonstrating scholarly service to the scientific community. His skill set includes advanced simulation tools, data analysis, programming, and machine learning techniques, complemented by strong communication and collaborative abilities. Overall, his profile reflects a forward-looking researcher and educator with impactful contributions across medical physics, photonics, and applied interdisciplinary science.
Profile: Google Scholar
Featured Publications
Muheki, J., Wekalao, J., Albargi, H. B., Jalalah, M., Almawgani, A. H. M., & Patel, S. K. (2025). A graphene–gold metasurface inspired surface plasmon resonance sensor designed for terahertz applications in sensing and detection of heavy metals in water. Plasmonics, 20(1), 289–303.
Wekalao, J., Mandela, N., Muheki, J., & Zaid, A. (2025). Design and analysis of a terahertz metasurface-based refractive index sensor for hemoglobin detection with behaviour prediction using polynomial regression. Plasmonics, 20(4), 2123–2152.
Wekalao, J., Muheki, J., Mandela, N., Kabarokole, P., & Makoye, P. (2025). Machine learning-optimized titanium-based broadband absorber with high-efficiency performance across visible and infrared wavelengths. Optical and Quantum Electronics, 57(2), Article 129.
Armghan, A., Jonas, M., Surve, J., Patel, S. K., Aliqab, K., & Alsharari, M. (2023). Refractory material inspired ultra-wideband solar absorber for thermoelectric photovoltaic performance enhancement with ML inspired prediction. Alexandria Engineering Journal, 73, 461–472.
Alsharari, M., Muheki, J., Armghan, A., Aliqab, K., Surve, J., & Patel, S. K. (2023). Thermal management mechanism employing transparent nanostructures for winter and summer seasons for indoor environments. International Journal of Thermal Sciences, 193, Article 108533.