Geamel Alyami | Engineering and Technology | Best Researcher Award

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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

 

 

Mehdi Shanbedi | Engineering and Technology | Best Researcher Award

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Assist. Prof. Dr Mehdi Shanbedi | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr Mehdi Shanbedi | Engineering and Technology | Best Researcher Award | Chemical Engineering Department | Kherad Institute of Higher Education | Iran

Assist. Prof. Dr Mehdi Shanbedi is a distinguished chemical engineering researcher whose work spans advanced nanomaterials, nanofluid engineering, heat and mass transfer, microfluidics, biotechnology, and desalination systems, establishing Him as a leading figure in multidisciplinary materials science and thermal-fluid research. He holds a Ph.D. in Chemical Engineering from Ferdowsi University of Mashhad, where His doctoral research focused on synthesizing nanofluids based on covalently and non-covalently functionalized carbon nanostructures for advanced heat transfer applications. His academic foundation further includes an M.Sc. in Chemical Engineering from the same institution and a B.Sc. from Azad University of Gachsaran, forming a strong technical base for His later scientific contributions. Professionally, Assist. Prof. Dr Mehdi Shanbedi has served as an Assistant Professor at Kherad Institute of Higher Education, contributing extensively to postgraduate education through courses in advanced heat transfer, thermodynamics, fluid mechanics, reactor design, and engineering mathematics. Beyond academia, He co-founded Vira Carbon Nano Materials (VCN Materials) Co. Ltd., spearheading innovations in nanomaterial production and industrial applications. His research interests include the synthesis and functionalization of graphene, MXene, carbon nanotubes, and quantum dots; development of high-performance nanofluids for enhanced heat transfer; desalination engineering; biofluid dynamics; antimicrobial materials; and energy-storage-related advanced materials. His research skills cover experimental and numerical modeling of thermal and hydrodynamic systems, nanostructure fabrication, material characterization, fluid–structure analysis, and biotechnology techniques including microbial studies and biomolecule extraction. Assist. Prof. Dr Mehdi Shanbedi has supervised and co-supervised numerous M.Sc. theses, contributing to talent development in chemical and materials engineering. His awards include recognition as a top researcher at Ferdowsi University of Mashhad, top elite at the National Elites Foundation, recipient of research scholarships, and winner of the best thesis award from the Iranian Association of Chemical Engineering, along with being acknowledged as a top entrepreneur in Bushehr state. His publication record includes highly cited ISI and Scopus-indexed papers focused on nanofluids, graphene-based systems, energy conversion, and advanced heat transfer technologies, strengthening His reputation in the global scientific community. With significant contributions to interdisciplinary engineering solutions, strong citation metrics, leadership in academic and industrial research, and continuous advancement of nanomaterial applications for energy and environmental systems, Assist. Prof. Dr Mehdi Shanbedi continues to drive impactful scientific progress, demonstrating clear potential for further innovation and international research leadership.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

  1. Shanbedi, M., Zeinali Heris, S., Baniadam, M., Amiri, A., & Maghrebi, M. (2012). Investigation of heat-transfer characterization of EDA-MWCNT/di-water nanofluid in a two-phase closed thermosyphon. Industrial & Engineering Chemistry Research. Citations: 1423

  2. Shanbedi, M., Zeinali Heris, S., Baniadam, M., & Amiri, A. (2013). The effect of multi-walled carbon nanotube/water nanofluid on thermal performance of a two-phase closed thermosyphon. Experimental Heat Transfer. Citations: 26

  3. Shanbedi, M., Zeinali Heris, S., Amiri, A., Eshghi, H., & Hosseinipour, E. (2015). Synthesis of aspartic acid-treated multi-walled carbon nanotubes based water coolant and investigation of thermal and hydrodynamic properties. Energy Conversion and Management. Citations: 1366

  4. Amiri, A., Shanbedi, M., Ahmadi, G., Eshghi, H., Kazi, S. N., & Chew, B. T. (2016). Mass production of highly-porous graphene for high-performance supercapacitors. Scientific Reports. Citations: 32686

  5. Amiri, A., Shanbedi, M., Zeinali Heris, S., Kazi, S. N., & Chew, B. T. (2015). Laminar convective heat transfer of hexylamine-treated MWCNTs-based turbine oil nanofluid. Energy Conversion and Management. Citations: 355

  6. Amiri, A., Sadri, R., Shanbedi, M., Ahmadi, G., Kazi, S. N., & Chew, B. T. (2015). Microwave-assisted synthesis of nitrogen-doped graphene for high-performance electrodes in capacitive deionization. Scientific Reports. Citations: 17503

  7. Amiri, A., Ahmadi, G., Shanbedi, M., Etemadi, M., & Zubir, M. N. (2017). Transformer oils-based graphene quantum dots nanofluid as a new generation of coolant. International Communications in Heat and Mass Transfer. Citations: 40