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

 

 

Raja Sanjeev Kumar Nakka | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Raja Sanjeev Kumar Nakka | Engineering and Technology | Best Researcher Award

Mr Raja Sanjeev Kumar Nakka, Ragon Institute of MGB, MIT and Harvard, United States

Raja Sanjeev Kumar Nakka is a distinguished computer scientist and researcher specializing in biomedical informatics and infectious disease modeling. 🎓 He holds a Master of Science in Computer Science from Kansas State University (2007) and a Bachelor of Technology in Computer Science Engineering from Acharya Nagarjuna University (2005). 🖥️ With extensive experience in software development, he has contributed to cutting-edge research in HIV/AIDS epidemiology, clinical data management, and computational analysis. 📊 His tenure at the Ragon Institute of MGH, MIT, and Harvard has led to significant advancements in cellular immunology databases. 🔬 As a co-author of multiple high-impact journal articles, he has focused on syphilis and HIV interactions in Sub-Saharan Africa. 🌍 His expertise in software engineering, data science, and medical informatics makes him a strong candidate for the Best Researcher Award. 🏅

Publication Profile

Orcid

Education

Raja Sanjeev Kumar Nakka has an outstanding academic background in computer science. 🎓 He earned his Master of Science in Computer Science from Kansas State University in 2007, where he also worked as a Graduate Teaching Assistant. 📖 His undergraduate studies were completed at Acharya Nagarjuna University, India, where he obtained a Bachelor of Technology in Computer Science Engineering in 2005. 🏛️ He further solidified his expertise by earning professional certifications, including Microsoft Certified Professional Developer and Sun Certified Java Programmer (SCJP). 💻 Additionally, he has completed numerous independent courses on topics such as data science, machine learning, C#, and cybersecurity from prestigious platforms. 📊 His strong foundation in both theoretical and applied computing has enabled him to bridge the gap between software development and biomedical research, making him a leader in computational epidemiology and healthcare informatics. 🏆

Experience

With over a decade of experience in software engineering and biomedical informatics, Raja Sanjeev Kumar Nakka has made significant contributions to healthcare technology. 🏥 Since 2014, he has been a Programmer Analyst at the Ragon Institute of MGH, MIT, and Harvard, leading the development of the Cellular Immunology Database (CIDB). 🧬 His work involves designing secure data systems for HIV/AIDS research, collaborating with scientists, and developing advanced ETL tools for patient data processing. 🌍 Previously, he worked as a Senior Software Engineer at Confluence (Indecomm Global Services), where he contributed to financial software solutions using ASP.NET MVC, cloud storage, and Knockout.js. 💻 His expertise spans software development, database architecture, and computational epidemiology, making him an invaluable asset to both research and technology sectors. 🚀 His earlier role as a Graduate Teaching Assistant at Kansas State University further highlights his commitment to education and mentorship. 🎓

Awards and Honors

Raja Sanjeev Kumar Nakka has received multiple accolades for his contributions to software engineering and biomedical research. 🏆 He was recognized for his exceptional work at the Ragon Institute in advancing clinical informatics for HIV/AIDS studies. 🧬 His research publications on infectious diseases, including syphilis-HIV interactions, have gained international recognition. 🌍 His expertise in integrating software solutions with healthcare informatics has been instrumental in revolutionizing data management in clinical studies. 📊 Additionally, he has received professional certifications from Microsoft and Sun Microsystems, further validating his expertise in computer science. 💻 His nomination for the Best Researcher Award is a testament to his outstanding impact in the fields of computational epidemiology, biomedical informatics, and software development. 🏅 With an impressive career dedicated to innovation and interdisciplinary research, he continues to make groundbreaking contributions to global health and technology. 🚀

Research Focus

Raja Sanjeev Kumar Nakka’s research focuses on the intersection of computational science and biomedical informatics, with a particular emphasis on infectious diseases. 🦠 His expertise lies in developing advanced database systems for clinical and immunological data management, particularly in HIV/AIDS research. 📊 At the Ragon Institute of MGH, MIT, and Harvard, he has played a key role in designing secure and efficient data frameworks for global health studies. 🌍 His recent research investigates the impact of syphilis on HIV acquisition and progression in Sub-Saharan Africa, contributing to epidemiological insights. 📚 Additionally, his work extends to artificial intelligence applications in public health, data visualization, and predictive modeling for disease outbreaks. 🔍 By integrating software engineering with medical research, he is advancing the field of computational epidemiology, making data-driven healthcare solutions more accessible and impactful. 🏆 His interdisciplinary approach is reshaping the future of biomedical data science. 🚀

Publication Top Notes

1️⃣ The Association Between Syphilis Infection and HIV Acquisition and HIV Disease Progression in Sub-Saharan Africa – Tropical Medicine and Infectious Disease, 2025
2️⃣ The Impact of Syphilis on HIV Acquisition and Progression in Sub-Saharan Africa – Preprint, 2025
3️⃣ Biological and Social Predictors of HIV-1 RNA Viral Suppression in ART Treated PWLH in Sub-Saharan Africa – Tropical Medicine and Infectious Disease, 2025
4️⃣ Factors Associated with Comfort Discussing PrEP with Healthcare Providers among Black Cisgender Women – Tropical Medicine and Infectious Disease, 2023
5️⃣ Associations between Awareness of Sexually Transmitted Infections (STIs) and Prevalence of STIs among Sub-Saharan African Men and Women – Tropical Medicine and Infectious Disease, 2022