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

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. πŸŽ“ 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). πŸ–₯️ With extensive experience in software development, he has contributed to cutting-edge research in HIV/AIDS epidemiology, clinical data management, and computational analysis. πŸ“Š His tenure at the Ragon Institute of MGH, MIT, and Harvard has led to significant advancements in cellular immunology databases. πŸ”¬ 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. πŸ…

Publication Profile

Orcid

Education

Raja Sanjeev Kumar Nakka has an outstanding academic background in computer science. πŸŽ“ He earned his Master of Science in Computer Science from Kansas State University in 2007, where he also worked as a Graduate Teaching Assistant. πŸ“– His undergraduate studies were completed at Acharya Nagarjuna University, India, where he obtained a Bachelor of Technology in Computer Science Engineering in 2005. πŸ›οΈ He further solidified his expertise by earning professional certifications, including Microsoft Certified Professional Developer and Sun Certified Java Programmer (SCJP). πŸ’» Additionally, he has completed numerous independent courses on topics such as data science, machine learning, C#, and cybersecurity from prestigious platforms. πŸ“Š 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. πŸ†

Experience

With over a decade of experience in software engineering and biomedical informatics, Raja Sanjeev Kumar Nakka has made significant contributions to healthcare technology. πŸ₯ 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. πŸ’» His expertise spans software development, database architecture, and computational epidemiology, making him an invaluable asset to both research and technology sectors. πŸš€ His earlier role as a Graduate Teaching Assistant at Kansas State University further highlights his commitment to education and mentorship. πŸŽ“

Awards and Honors

Raja Sanjeev Kumar Nakka has received multiple accolades for his contributions to software engineering and biomedical research. πŸ† 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. πŸ“Š Additionally, he has received professional certifications from Microsoft and Sun Microsystems, further validating his expertise in computer science. πŸ’» 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. πŸ… With an impressive career dedicated to innovation and interdisciplinary research, he continues to make groundbreaking contributions to global health and technology. πŸš€

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. πŸ“Š 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. πŸ“š Additionally, his work extends to artificial intelligence applications in public health, data visualization, and predictive modeling for disease outbreaks. πŸ” By integrating software engineering with medical research, he is advancing the field of computational epidemiology, making data-driven healthcare solutions more accessible and impactful. πŸ† His interdisciplinary approach is reshaping the future of biomedical data science. πŸš€

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

Abdul Rehman | Engineering and Technology | Best Researcher Award

Abdul Rehman | Engineering and Technology | Best Researcher Award

Dr Abdul Rehman ,University of L’Aquila, Italy

Abdul Rehman is a dedicated researcher with a Ph.D. in Information and Communication Technologies from the University of L’Aquila, specializing in network architecture, industrial IoT, and simulation environments πŸŽ“πŸŒ. He has extensive experience in designing scalable communication systems and developing integrated simulators for complex networks, focusing on SDN and RIS technologies πŸ–§πŸ’». Abdul has published numerous papers in top-tier journals and conferences, contributing to advancements in wireless and high-frequency communications πŸ“šπŸ“‘. He has also taught at the Venture College of Engineering in Islamabad, Pakistan, and has a Master’s in Electronics and Communication Engineering from Shanghai πŸŒπŸ“˜.

Publication profile

google scholar

Education

Dr. Abdul Rehman is a dedicated researcher specializing in ICT with a Ph.D. from the University of L’Aquila, Italy (2021-2024). His thesis focuses on performance analysis of multiple access protocols for sidelink vehicular communications, encompassing 5/6G, URLLC, and wireless communication πŸ“‘πŸš—. He holds a Master’s in Electronics and Communication Engineering from Shanghai Jiao Tong University, China (2017-2019), where he researched GNSS integration for pedestrian smartphone navigation πŸ“±πŸ›°οΈ. His Bachelor’s in Electrical (Telecommunication) Engineering from Government College University Faisalabad, Pakistan (2013-2017) involved deforestation analysis using remote sensing πŸŒ²πŸ›°οΈ. His expertise includes sensor fusion, signal processing, and satellite communications.

Experience

From July 2021 to October 2024, He worked as a researcher at EX-EMERGE in L’Aquila, Italy, focusing on Energy Efficient Networks, URLLC in IoT, and Sidelink Vehicular Communications. He developed scalable and secure architectures for wireless systems, researched adaptive modulation and coding techniques, and designed integrable systems for efficient communication in varying conditions. He findings were published in top-tier journals and conferences. From July 2019 to December 2020, He lectured at Venture College of Engineering in Islamabad, Pakistan, teaching courses like Wireless Communication and supervising undergraduate research projects πŸ“‘πŸ“šπŸ”¬.

Honors and Awards

In 2019, the Certificate of Honor was awarded at the China Satellite Navigation Conference 🌟. Recognition for serving as Chairperson at IEEE-SAC was received in 2015 πŸ…. The same year saw the completion of the Continuing Professional Development Program (CPD-PEC) πŸ“œ. Significant contributions to the IEEE Young Professionals and Skill Development Program were acknowledged in 2014 πŸŽ“. Participation in the IEEE Tech-fair also occurred in 2014 πŸš€. Furthermore, a Certificate of Distinction was awarded for achieving 3rd position in BISE in 2014 πŸŽ–οΈ.

Research focus

A Rehman’s research focuses on advanced techniques in image processing, GNSS/PDR integration, and communication systems. Notable works include developing Mask RCNN-FPN for breast lesion detection 🩺, utilizing extended Kalman filters for precise pedestrian smartphone navigation πŸ“±, and analyzing deforestation in northern Pakistan using supervised classification 🌲. His contributions to GNSS and PDR fusion algorithms improve pedestrian navigation accuracy 🧭. Additionally, his research on multiple access interference in LTE-V2X and NR-V2X sidelink communications enhances vehicular communication networks πŸš—. These diverse studies highlight A Rehman’s expertise in biomedical imaging, navigation technology, and communication systems πŸ“‘.

Publication top notes

Multi-detection and segmentation of breast lesions based on mask rcnn-fpn

Accurate and direct GNSS/PDR integration using extended Kalman filter for pedestrian smartphone navigation

Deforestation analysis of northern areas (Pakistan) using image processing and maximum likelihood supervised classification

PDR/GNSS fusion algorithm based on joint heading estimation

On the Impact of Multiple Access Interference in LTE-V2X and NR-V2X Sidelink Communications

Analytical modeling of multiple access interference in C-V2X sidelink communications