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. ๐ŸŽ“ 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). ๐Ÿ–ฅ๏ธ With extensive experience in software development, he has contributed to cutting-edge research in HIV/AIDS epidemiology, clinical data management, and computational analysis. ๐Ÿ“Š His tenure at the Ragon Institute of MGH, MIT, and Harvard has led to significant advancements in cellular immunology databases. ๐Ÿ”ฌ As a co-author of multiple high-impact journal articles, he has focused on syphilis and HIV interactions in Sub-Saharan Africa. ๐ŸŒ His expertise in software engineering, data science, and medical informatics makes him a strong candidate for the Best Researcher Award. ๐Ÿ…

Publication Profile

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Education

Raja Sanjeev Kumar Nakka has an outstanding academic background in computer science. ๐ŸŽ“ He earned his Master of Science in Computer Science from Kansas State University in 2007, where he also worked as a Graduate Teaching Assistant. ๐Ÿ“– His undergraduate studies were completed at Acharya Nagarjuna University, India, where he obtained a Bachelor of Technology in Computer Science Engineering in 2005. ๐Ÿ›๏ธ He further solidified his expertise by earning professional certifications, including Microsoft Certified Professional Developer and Sun Certified Java Programmer (SCJP). ๐Ÿ’ป Additionally, he has completed numerous independent courses on topics such as data science, machine learning, C#, and cybersecurity from prestigious platforms. ๐Ÿ“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. ๐Ÿ†

Experience

With over a decade of experience in software engineering and biomedical informatics, Raja Sanjeev Kumar Nakka has made significant contributions to healthcare technology. ๐Ÿฅ 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). ๐Ÿงฌ His work involves designing secure data systems for HIV/AIDS research, collaborating with scientists, and developing advanced ETL tools for patient data processing. ๐ŸŒ 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. ๐Ÿ’ป His expertise spans software development, database architecture, and computational epidemiology, making him an invaluable asset to both research and technology sectors. ๐Ÿš€ His earlier role as a Graduate Teaching Assistant at Kansas State University further highlights his commitment to education and mentorship. ๐ŸŽ“

Awards and Honors

Raja Sanjeev Kumar Nakka has received multiple accolades for his contributions to software engineering and biomedical research. ๐Ÿ† He was recognized for his exceptional work at the Ragon Institute in advancing clinical informatics for HIV/AIDS studies. ๐Ÿงฌ His research publications on infectious diseases, including syphilis-HIV interactions, have gained international recognition. ๐ŸŒ His expertise in integrating software solutions with healthcare informatics has been instrumental in revolutionizing data management in clinical studies. ๐Ÿ“Š Additionally, he has received professional certifications from Microsoft and Sun Microsystems, further validating his expertise in computer science. ๐Ÿ’ป 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. ๐Ÿ… With an impressive career dedicated to innovation and interdisciplinary research, he continues to make groundbreaking contributions to global health and technology. ๐Ÿš€

Research Focus

Raja Sanjeev Kumar Nakkaโ€™s research focuses on the intersection of computational science and biomedical informatics, with a particular emphasis on infectious diseases. ๐Ÿฆ  His expertise lies in developing advanced database systems for clinical and immunological data management, particularly in HIV/AIDS research. ๐Ÿ“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. ๐ŸŒ His recent research investigates the impact of syphilis on HIV acquisition and progression in Sub-Saharan Africa, contributing to epidemiological insights. ๐Ÿ“š Additionally, his work extends to artificial intelligence applications in public health, data visualization, and predictive modeling for disease outbreaks. ๐Ÿ” By integrating software engineering with medical research, he is advancing the field of computational epidemiology, making data-driven healthcare solutions more accessible and impactful. ๐Ÿ† His interdisciplinary approach is reshaping the future of biomedical data science. ๐Ÿš€

Publication Top Notes

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

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Dr Eduardo Garcia, Magraner Ford Motor Company, Spain

๐Ÿ”ง Dr. Eduardo Garcรญa Magraner is a distinguished expert in industrial automation, manufacturing, and occupational safety. With a Ph.D. in Computer Engineering & Industrial Production (Cum Laude, CEU Cardenal Herrera, 2016) ๐ŸŽ“, he has led key roles at Ford Spain ๐Ÿš—, from Electromechanical Maintenance to Manufacturing Manager. A Lean Six Sigma Black Belt โš™๏ธ, he has earned multiple innovation and safety awards ๐Ÿ†, including the Henry Ford Technical Award. A sought-after speaker ๐ŸŽค and researcher ๐Ÿ“–, his contributions span Industry 4.0, predictive maintenance, and AI-driven efficiency. Passionate about smart factories ๐Ÿญ, he bridges academia and industry for sustainable progress. ๐ŸŒ

Publication Profile

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Academic and Professional Backgroundย 

Dr. Eduardo Garcia Magraner ๐ŸŽ“โš™๏ธ is an expert in industrial engineering, automation, and occupational safety. His academic journey began with vocational training in electrical and telecommunications, followed by a Ph.D. in Computer Engineering and Industrial Production (2016) ๐Ÿ…. Certified in Lean Six Sigma (Black Belt) and occupational risk prevention, he has mastered integrated management systems ๐Ÿญโœ…. With expertise in robotics ๐Ÿค–, energy efficiency ๐ŸŒฑ, and human resources ๐Ÿค, he has undertaken extensive additional training in automation and safety. His research explores machine deterioration and throughput optimization ๐Ÿ“Š. A leader in engineering and innovation, he continuously enhances industry standards ๐Ÿš€.

Experience

Dr. Eduardo Garcia Magraner has built an impressive career at Ford S.L, starting as a First-Class Electromechanical Maintenance Operator (1990-2001) โš™๏ธ. He advanced to Equipment Engineer (2001-2006) and later became a Maintenance Supervisor (2006) ๐Ÿ”ฉ. His expertise led him to roles such as Senior Equipment Engineer in Maintenance & Automation (2007-2012) and Production Supervisor (2012) ๐Ÿญ. He progressed to Manufacturing Manager for Body & Stamping (2014) and Champion of M.O.S. (2016) ๐Ÿ”ง. As SPOC for Cyber Security (2019) and now Manufacturing Manager for Assembly & Battery Plants (2023), he continues shaping Fordโ€™s production excellence โšก๐Ÿš—.

Awards and Recognitionsย 

Dr. Eduardo Garcia Magraner has been recognized for his outstanding contributions to safety, productivity, and innovation at Ford Spain ๐Ÿš—๐Ÿ†. His accolades include multiple Maximum Awards for enhancing press line efficiency (1997, 1999, 2002) and the prestigious Henry Ford Technical Award (2019) for IIoT-based predictive maintenance ๐Ÿ”ง๐Ÿ“Š. He received honors for workplace safety (1995, 2010, 2012) and academic mentorship at the Polytechnic University of Valencia (2014) ๐ŸŽ“๐Ÿ‘. His work in AI and cybersecurity earned global recognition (2019, 2020) ๐Ÿค–๐Ÿ”. A leader in industrial innovation, he continues to push the boundaries of engineering excellence ๐Ÿš€โš™๏ธ.

Academic Impactย 

Dr. Eduardo Garcia is a distinguished researcher in automation and smart manufacturing ๐Ÿค–๐Ÿญ. Beyond his groundbreaking research, he has delivered keynote presentations at global conferences, sharing insights on smart factories and AI-driven manufacturing ๐Ÿ”๐ŸŽค. His expertise has influenced industry advancements, making him a sought-after speaker in the field. In recognition of his contributions, he was honored with the prestigious CEU รngel Herrera Prize in 2023 ๐Ÿ†๐ŸŽ“, further solidifying his reputation as a leading researcher. Through his work, Dr. Garcia continues to shape the future of industrial automation, bridging innovation and practical applications for smarter, more efficient production systems โš™๏ธ๐ŸŒ.

Presentation

Dr. Eduardo Garcรญa is a distinguished expert in industrial robotics and Industry 4.0 ๐Ÿค–๐Ÿญ, actively contributing to global conferences and forums. He has delivered impactful presentations at events like EVERii2020, PENTEO2020, and INNOVATION TALKS 2020, addressing smart manufacturing and supply chains ๐Ÿš€๐Ÿ“ฆ. A sought-after speaker, he has shared insights at Advanced Factories, the Global Robot Expo, and the International Conference on Big Data, AI, and IoT ๐ŸŒ๐Ÿ“Š. As a Master Professor at PEAKS BUSINESS SCHOOL, he fosters innovation in Industry 4.0. In 2023, he received the prestigious CEU รngel Herrera Prize for outstanding research excellence ๐Ÿ†๐Ÿ“–.

Research Focus

Dr. Eduardo Garcรญa Magranerโ€™s research focuses on Industrial Internet of Things (IIoT) ๐Ÿญ๐Ÿ“ก, smart manufacturing ๐Ÿค–, and predictive maintenance ๐Ÿ”งโš™๏ธ within Industry 4.0. His work includes real-time condition monitoring ๐Ÿ•’, virtual sensors ๐Ÿ“Š, and AI-driven automation ๐Ÿค–๐Ÿ” to enhance efficiency in industrial environments. Key contributions involve sub-bottleneck detection ๐Ÿš€, autonomous mobile warehouses ๐Ÿš—๐Ÿญ, and manufacturing process optimization ๐Ÿ“ˆ using big data and simulation tools ๐Ÿ“ก๐Ÿ’ก. His research advances smart factory management ๐Ÿญ๐Ÿ’ป, ensuring reliability, reducing downtime, and boosting productivity. His innovations drive next-gen industrial automation ๐Ÿš€๐Ÿ—๏ธ for intelligent and self-optimizing manufacturing ecosystems.

Publication Top Notes

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz ๐ŸŒโš™๏ธ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering ๐ŸŽ“, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches ๐Ÿ“Š. She has held roles as a postdoctoral researcher in Canada ๐Ÿ‡จ๐Ÿ‡ฆ and visiting lecturer in the UK ๐Ÿ‡ฌ๐Ÿ‡ง. As the Executive Director of the University Center for Career Development, she fosters student growth ๐Ÿš€. Dr. AbouEleaz has published extensively ๐Ÿ“š, supervised over 35 projects ๐Ÿ› ๏ธ, and actively contributes to academic accreditation and international collaborations ๐ŸŒ. She enjoys reading, drawing, sports, and traveling โœˆ๏ธ๐ŸŽจ.

Publication Profile

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Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010โ€“2015), with a thesis titled โ€œLean Six Sigma Practices into an Organizational Quality Management Systemโ€ ๐ŸŽฏ๐Ÿ“Š. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005โ€“2008), focusing on โ€œHierarchic Framework for Quality Improvement Approachesโ€ โš™๏ธ๐Ÿ“ˆ. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class ๐Ÿ…๐ŸŽ“. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation ๐Ÿ”๐Ÿ’ก.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. Sheโ€™s a lecturer at Mansoura University, Egypt ๐Ÿ‡ช๐Ÿ‡ฌ, and has served as a visiting lecturer at the University of Central Lancashire, UK ๐Ÿ‡ฌ๐Ÿ‡ง, and a postdoctoral researcher at the University of Calgary, Canada ๐Ÿ‡จ๐Ÿ‡ฆ. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs ๐ŸŒ. Her contributions to strategic planning, quality assurance โœ…, and international collaboration ๐Ÿค have significantly advanced Mansoura Universityโ€™s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. โš™๏ธ๐Ÿ”ฉ๐Ÿ“Šโœจ๐Ÿ”

Research Interest

Assoc. Prof. Dr. Mona AbouEleazโ€™s research focuses on Smart Manufacturing and Industry 4.0 ๐Ÿš€๐Ÿญ. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma ๐Ÿ“Š, optimization methods โš™๏ธ, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty ๐Ÿค”. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing ๐Ÿงช, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments ๐ŸŒŸ.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steelโ€“aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis