Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award Published on 05/08/202505/08/2025 by World Top Scientists Mr. Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award Healthcare Data Analyst & Researcher at Children’s Clinic of Michigan, United States Md Nagib Mahfuz Sunny is an emerging researcher and healthcare data analyst with a strong focus on applying big data analytics, machine learning, and predictive modeling to address critical challenges in the healthcare sector. His academic background in computer science and information science, combined with his practical experience, has enabled him to contribute meaningfully to areas such as clinical decision support, disease diagnosis, fraud detection, and telemedicine. Sunny has authored numerous peer-reviewed publications in respected journals, showcasing his ability to bridge technology and healthcare effectively. His research emphasizes data-driven solutions aimed at improving patient outcomes and reducing healthcare costs. As an IEEE Senior Member, he demonstrates leadership and commitment to innovation in his field. With a forward-looking approach and interdisciplinary mindset, Sunny continues to explore impactful research directions that align with global health and technology trends, making him a promising figure in the realm of healthcare informatics and intelligent systems. Professional Profile Google Scholar Education Md Nagib Mahfuz Sunny has a solid educational foundation that integrates both computer science and information science, equipping him with the technical and analytical skills necessary for advanced research in data-driven healthcare solutions. He earned his Master of Science in Information Science from Trine University in the United States, where he focused on data analytics and its applications in healthcare systems. Prior to that, he completed his Bachelor of Science in Computer Science and Technology from Jiangsu University of Science and Technology in China. His academic journey reflects a commitment to international exposure and interdisciplinary learning, which has played a critical role in shaping his understanding of global healthcare challenges and the role of advanced technology in addressing them. Sunny’s academic training has provided him with the theoretical knowledge and practical tools necessary to conduct innovative research at the intersection of artificial intelligence, machine learning, and healthcare informatics. Experience Md Nagib Mahfuz Sunny brings diverse and impactful experience as a healthcare data analyst and researcher, with a particular focus on the use of machine learning, predictive modeling, and big data analytics in medical contexts. His professional and academic experience spans developing intelligent systems for clinical decision-making, optimizing healthcare processes, and conducting extensive data-driven research. Sunny has worked on multidisciplinary projects involving IoT-based frameworks for disease detection, AI-powered solutions for prescription optimization, and machine learning techniques for cancer classification and fraud detection. His collaborative work with global research teams and healthcare professionals has contributed to practical innovations and published outcomes in well-regarded scientific journals. He is actively involved in designing research methodologies, data analysis pipelines, and predictive models tailored for real-world healthcare applications. His hands-on experience reflects a strong integration of technical expertise and domain-specific knowledge, positioning him to drive future innovations in health informatics and digital healthcare transformation. Research Focus Md Nagib Mahfuz Sunny’s research centers around the application of artificial intelligence, big data analytics, and machine learning in healthcare to enhance clinical decision-making, improve diagnostics, and reduce operational inefficiencies. His core focus areas include predictive healthcare analytics, public health informatics, AI for disease classification, fraud detection in medical systems, and IoT-based health monitoring. Through his published work, he has explored diverse topics such as diabetes diagnosis using intelligent systems, cancer stage classification based on biomarker data, and AI-enhanced drug substitution models aimed at reducing healthcare costs. He is particularly interested in integrating real-time data from healthcare environments with advanced computational models to generate actionable insights for physicians and public health professionals. Sunny’s research consistently emphasizes innovation, real-world applicability, and ethical use of data in healthcare. His contributions reflect a forward-thinking approach to solving modern medical challenges through computational intelligence and interdisciplinary collaboration. Award and Honor Md Nagib Mahfuz Sunny has earned recognition for his contributions to healthcare analytics and intelligent systems through multiple peer-reviewed publications and active involvement in professional communities. He holds the distinction of being an IEEE Senior Member, a title that reflects both his technical accomplishments and leadership within the engineering and technology community. His research has been published in esteemed journals and presented at international conferences, highlighting the relevance and impact of his work in the global academic landscape. The quality and applicability of his research, particularly in AI-driven healthcare solutions, have attracted attention from institutions and collaborators worldwide. His interdisciplinary and international academic journey has further contributed to his reputation as a knowledgeable and forward-thinking young scientist. As he continues to build on his work in healthcare data science, his achievements mark him as a strong candidate for future research awards and honors within the field of health informatics and artificial intelligence. Publications Top Notes Title: Optimizing Healthcare Outcomes through Data-Driven Predictive ModelingAuthors: MNM Sunny, MBH Sakil, A Al Nahian, SW Ahmed, MN Shorif, J AtayevaYear: 2024Citations: 38 Title: Project Management and Visualization Techniques A Details StudyAuthors: MNM Sunny, MBH Sakil, A Al NahianYear: 2024Citations: 23 Title: Neural Network-Powered License Plate Recognition System DesignAuthors: S Hasan, MNM Sunny, A Al Nahian, M YasinYear: 2024Citations: 18 Title: Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes DiagnosisAuthors: MNM Sunny, MBH Sakil, J Atayeva, ZS Munmun, MS Mollick, MO FaruqYear: 2024Citations: 4 Title: Telemedicine and Remote Healthcare: Bridging the Digital DivideAuthors: MNM Sunny, U Sumaiya, MH Akter, F Kabir, ZS Munmun, B Nurani, M AminYear: 2024Citations: 3 Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker DataAuthors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J AtayevaYear: 2024Citations: 3 Title: Numerical Analysis of Multivariate Data for Fraud DetectionAuthors: MNM Sunny, KMS Hossain, MM Amin, SN SadmaniYear: 2024Citations: 2 Title: Advance Obstacle Detection for Autonomous Vehicles Using Numerical Data from LIDAR and RADAR Sensor: A Machine Learning ApproachAuthors: R Akter, K Oyshee, MN Sunny, P Roy, F Ahammed, MF RefatYear: 2024Citations: 1 Conclusion Md Nagib Mahfuz Sunny has established a commendable research profile with multiple impactful publications across emerging areas in healthcare analytics and machine learning. His work is gaining increasing recognition, as reflected by citation metrics, particularly in studies focusing on predictive modeling, IoT-based healthcare, and AI-powered diagnostics. The consistent authorship and interdisciplinary collaborations indicate his active engagement in advancing practical, data-driven solutions to real-world challenges. His growing citation count and contributions to reputable journals suggest a trajectory toward becoming a significant voice in the field. Overall, his research contributions are not only timely but also align well with the core values of innovation, applicability, and academic rigor—making him a deserving candidate for recognition through awards and further research opportunities.
Md Nagib Mahfuz Sunny is an emerging researcher and healthcare data analyst with a strong focus on applying big data analytics, machine learning, and predictive modeling to address critical challenges in the healthcare sector. His academic background in computer science and information science, combined with his practical experience, has enabled him to contribute meaningfully to areas such as clinical decision support, disease diagnosis, fraud detection, and telemedicine. Sunny has authored numerous peer-reviewed publications in respected journals, showcasing his ability to bridge technology and healthcare effectively. His research emphasizes data-driven solutions aimed at improving patient outcomes and reducing healthcare costs. As an IEEE Senior Member, he demonstrates leadership and commitment to innovation in his field. With a forward-looking approach and interdisciplinary mindset, Sunny continues to explore impactful research directions that align with global health and technology trends, making him a promising figure in the realm of healthcare informatics and intelligent systems. Professional Profile Google Scholar Education Md Nagib Mahfuz Sunny has a solid educational foundation that integrates both computer science and information science, equipping him with the technical and analytical skills necessary for advanced research in data-driven healthcare solutions. He earned his Master of Science in Information Science from Trine University in the United States, where he focused on data analytics and its applications in healthcare systems. Prior to that, he completed his Bachelor of Science in Computer Science and Technology from Jiangsu University of Science and Technology in China. His academic journey reflects a commitment to international exposure and interdisciplinary learning, which has played a critical role in shaping his understanding of global healthcare challenges and the role of advanced technology in addressing them. Sunny’s academic training has provided him with the theoretical knowledge and practical tools necessary to conduct innovative research at the intersection of artificial intelligence, machine learning, and healthcare informatics. Experience Md Nagib Mahfuz Sunny brings diverse and impactful experience as a healthcare data analyst and researcher, with a particular focus on the use of machine learning, predictive modeling, and big data analytics in medical contexts. His professional and academic experience spans developing intelligent systems for clinical decision-making, optimizing healthcare processes, and conducting extensive data-driven research. Sunny has worked on multidisciplinary projects involving IoT-based frameworks for disease detection, AI-powered solutions for prescription optimization, and machine learning techniques for cancer classification and fraud detection. His collaborative work with global research teams and healthcare professionals has contributed to practical innovations and published outcomes in well-regarded scientific journals. He is actively involved in designing research methodologies, data analysis pipelines, and predictive models tailored for real-world healthcare applications. His hands-on experience reflects a strong integration of technical expertise and domain-specific knowledge, positioning him to drive future innovations in health informatics and digital healthcare transformation. Research Focus Md Nagib Mahfuz Sunny’s research centers around the application of artificial intelligence, big data analytics, and machine learning in healthcare to enhance clinical decision-making, improve diagnostics, and reduce operational inefficiencies. His core focus areas include predictive healthcare analytics, public health informatics, AI for disease classification, fraud detection in medical systems, and IoT-based health monitoring. Through his published work, he has explored diverse topics such as diabetes diagnosis using intelligent systems, cancer stage classification based on biomarker data, and AI-enhanced drug substitution models aimed at reducing healthcare costs. He is particularly interested in integrating real-time data from healthcare environments with advanced computational models to generate actionable insights for physicians and public health professionals. Sunny’s research consistently emphasizes innovation, real-world applicability, and ethical use of data in healthcare. His contributions reflect a forward-thinking approach to solving modern medical challenges through computational intelligence and interdisciplinary collaboration. Award and Honor Md Nagib Mahfuz Sunny has earned recognition for his contributions to healthcare analytics and intelligent systems through multiple peer-reviewed publications and active involvement in professional communities. He holds the distinction of being an IEEE Senior Member, a title that reflects both his technical accomplishments and leadership within the engineering and technology community. His research has been published in esteemed journals and presented at international conferences, highlighting the relevance and impact of his work in the global academic landscape. The quality and applicability of his research, particularly in AI-driven healthcare solutions, have attracted attention from institutions and collaborators worldwide. His interdisciplinary and international academic journey has further contributed to his reputation as a knowledgeable and forward-thinking young scientist. As he continues to build on his work in healthcare data science, his achievements mark him as a strong candidate for future research awards and honors within the field of health informatics and artificial intelligence. Publications Top Notes Title: Optimizing Healthcare Outcomes through Data-Driven Predictive ModelingAuthors: MNM Sunny, MBH Sakil, A Al Nahian, SW Ahmed, MN Shorif, J AtayevaYear: 2024Citations: 38 Title: Project Management and Visualization Techniques A Details StudyAuthors: MNM Sunny, MBH Sakil, A Al NahianYear: 2024Citations: 23 Title: Neural Network-Powered License Plate Recognition System DesignAuthors: S Hasan, MNM Sunny, A Al Nahian, M YasinYear: 2024Citations: 18 Title: Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes DiagnosisAuthors: MNM Sunny, MBH Sakil, J Atayeva, ZS Munmun, MS Mollick, MO FaruqYear: 2024Citations: 4 Title: Telemedicine and Remote Healthcare: Bridging the Digital DivideAuthors: MNM Sunny, U Sumaiya, MH Akter, F Kabir, ZS Munmun, B Nurani, M AminYear: 2024Citations: 3 Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker DataAuthors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J AtayevaYear: 2024Citations: 3 Title: Numerical Analysis of Multivariate Data for Fraud DetectionAuthors: MNM Sunny, KMS Hossain, MM Amin, SN SadmaniYear: 2024Citations: 2 Title: Advance Obstacle Detection for Autonomous Vehicles Using Numerical Data from LIDAR and RADAR Sensor: A Machine Learning ApproachAuthors: R Akter, K Oyshee, MN Sunny, P Roy, F Ahammed, MF RefatYear: 2024Citations: 1 Conclusion Md Nagib Mahfuz Sunny has established a commendable research profile with multiple impactful publications across emerging areas in healthcare analytics and machine learning. His work is gaining increasing recognition, as reflected by citation metrics, particularly in studies focusing on predictive modeling, IoT-based healthcare, and AI-powered diagnostics. The consistent authorship and interdisciplinary collaborations indicate his active engagement in advancing practical, data-driven solutions to real-world challenges. His growing citation count and contributions to reputable journals suggest a trajectory toward becoming a significant voice in the field. Overall, his research contributions are not only timely but also align well with the core values of innovation, applicability, and academic rigor—making him a deserving candidate for recognition through awards and further research opportunities.
Md Nagib Mahfuz Sunny has earned recognition for his contributions to healthcare analytics and intelligent systems through multiple peer-reviewed publications and active involvement in professional communities. He holds the distinction of being an IEEE Senior Member, a title that reflects both his technical accomplishments and leadership within the engineering and technology community. His research has been published in esteemed journals and presented at international conferences, highlighting the relevance and impact of his work in the global academic landscape. The quality and applicability of his research, particularly in AI-driven healthcare solutions, have attracted attention from institutions and collaborators worldwide. His interdisciplinary and international academic journey has further contributed to his reputation as a knowledgeable and forward-thinking young scientist. As he continues to build on his work in healthcare data science, his achievements mark him as a strong candidate for future research awards and honors within the field of health informatics and artificial intelligence. Publications Top Notes Title: Optimizing Healthcare Outcomes through Data-Driven Predictive ModelingAuthors: MNM Sunny, MBH Sakil, A Al Nahian, SW Ahmed, MN Shorif, J AtayevaYear: 2024Citations: 38 Title: Project Management and Visualization Techniques A Details StudyAuthors: MNM Sunny, MBH Sakil, A Al NahianYear: 2024Citations: 23 Title: Neural Network-Powered License Plate Recognition System DesignAuthors: S Hasan, MNM Sunny, A Al Nahian, M YasinYear: 2024Citations: 18 Title: Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes DiagnosisAuthors: MNM Sunny, MBH Sakil, J Atayeva, ZS Munmun, MS Mollick, MO FaruqYear: 2024Citations: 4 Title: Telemedicine and Remote Healthcare: Bridging the Digital DivideAuthors: MNM Sunny, U Sumaiya, MH Akter, F Kabir, ZS Munmun, B Nurani, M AminYear: 2024Citations: 3 Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker DataAuthors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J AtayevaYear: 2024Citations: 3 Title: Numerical Analysis of Multivariate Data for Fraud DetectionAuthors: MNM Sunny, KMS Hossain, MM Amin, SN SadmaniYear: 2024Citations: 2 Title: Advance Obstacle Detection for Autonomous Vehicles Using Numerical Data from LIDAR and RADAR Sensor: A Machine Learning ApproachAuthors: R Akter, K Oyshee, MN Sunny, P Roy, F Ahammed, MF RefatYear: 2024Citations: 1 Conclusion Md Nagib Mahfuz Sunny has established a commendable research profile with multiple impactful publications across emerging areas in healthcare analytics and machine learning. His work is gaining increasing recognition, as reflected by citation metrics, particularly in studies focusing on predictive modeling, IoT-based healthcare, and AI-powered diagnostics. The consistent authorship and interdisciplinary collaborations indicate his active engagement in advancing practical, data-driven solutions to real-world challenges. His growing citation count and contributions to reputable journals suggest a trajectory toward becoming a significant voice in the field. Overall, his research contributions are not only timely but also align well with the core values of innovation, applicability, and academic rigor—making him a deserving candidate for recognition through awards and further research opportunities.
Md Nagib Mahfuz Sunny has established a commendable research profile with multiple impactful publications across emerging areas in healthcare analytics and machine learning. His work is gaining increasing recognition, as reflected by citation metrics, particularly in studies focusing on predictive modeling, IoT-based healthcare, and AI-powered diagnostics. The consistent authorship and interdisciplinary collaborations indicate his active engagement in advancing practical, data-driven solutions to real-world challenges. His growing citation count and contributions to reputable journals suggest a trajectory toward becoming a significant voice in the field. Overall, his research contributions are not only timely but also align well with the core values of innovation, applicability, and academic rigor—making him a deserving candidate for recognition through awards and further research opportunities.