Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award

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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 Modeling
    Authors: MNM Sunny, MBH Sakil, A Al Nahian, SW Ahmed, MN Shorif, J Atayeva
    Year: 2024
    Citations: 38

  • Title: Project Management and Visualization Techniques A Details Study
    Authors: MNM Sunny, MBH Sakil, A Al Nahian
    Year: 2024
    Citations: 23

  • Title: Neural Network-Powered License Plate Recognition System Design
    Authors: S Hasan, MNM Sunny, A Al Nahian, M Yasin
    Year: 2024
    Citations: 18

  • Title: Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes Diagnosis
    Authors: MNM Sunny, MBH Sakil, J Atayeva, ZS Munmun, MS Mollick, MO Faruq
    Year: 2024
    Citations: 4

  • Title: Telemedicine and Remote Healthcare: Bridging the Digital Divide
    Authors: MNM Sunny, U Sumaiya, MH Akter, F Kabir, ZS Munmun, B Nurani, M Amin
    Year: 2024
    Citations: 3

  • Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker Data
    Authors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J Atayeva
    Year: 2024
    Citations: 3

  • Title: Numerical Analysis of Multivariate Data for Fraud Detection
    Authors: MNM Sunny, KMS Hossain, MM Amin, SN Sadmani
    Year: 2024
    Citations: 2

  • Title: Advance Obstacle Detection for Autonomous Vehicles Using Numerical Data from LIDAR and RADAR Sensor: A Machine Learning Approach
    Authors: R Akter, K Oyshee, MN Sunny, P Roy, F Ahammed, MF Refat
    Year: 2024
    Citations: 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.

Gebeyehu Bulcha | Health Professions | Best Researcher Award

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Dr. Gebeyehu Bulcha | Health Professions | Best Researcher Award

Researcher at Jimma University, Ethiopia

Dr. Gebeyehu Bulcha Duguma is a seasoned public health expert and researcher with over 16 years of experience in maternal, newborn, and child health (MNCH), epidemiology, and health communication. He holds a Master of Public Health in Epidemiology and is currently pursuing a PhD in Health Communication and Health Behavior. Dr. Bulcha has contributed to more than 25 peer-reviewed publications, with a focus on digital health innovations, behavior change communication, and health system strengthening. His work integrates practical field experience with academic research, having served in various roles including PHEOC Coordinator, RMNCH Expert, and consultant for organizations like KOICA, KOFIH, and IMCHA. He is also recognized for mentoring young epidemiologists and developing mobile health tools such as the Ulfamijuu messaging platform. With a multidisciplinary background and a commitment to evidence-based interventions, Dr. Bulcha stands out as a leader driving impactful public health research and innovation in Ethiopia and beyond.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Gebeyehu Bulcha Duguma has pursued a multidisciplinary academic journey grounded in public health and social sciences. He holds a Bachelor of Science in Environmental Health from Haramaya University and a Bachelor of Arts in Sociology and Social Work from Jimma University. He further advanced his expertise by earning a Master of Public Health in Epidemiology from Jimma University, where he developed a strong foundation in disease surveillance and health data analytics. Currently, Dr. Bulcha is a PhD candidate in Health Communication and Health Behavior at Jimma University, where his research focuses on innovative communication strategies to improve maternal and child health outcomes. His academic pursuits are deeply aligned with his professional commitments, equipping him with the theoretical and methodological tools to address complex public health challenges. His educational background reflects a unique blend of technical, behavioral, and communication expertise, making him well-suited for interdisciplinary health research and interventions.

Professional Experience

With over 16 years of progressive experience, Dr. Gebeyehu Bulcha has held a range of pivotal roles in public health. He has served as a Public Health Emergency Operations Center (PHEOC) Coordinator, leading epidemic surveillance and response, while mentoring Field Epidemiology Training Program (FETP) residents. From 2016 to 2019, he worked as an RMNCH Expert, coordinating maternal-child health programs, WASH interventions, and behavioral change communication initiatives. Earlier roles include HIV/AIDS Coordinator, Malaria Coordinator, and Maternal & Child Health Expert, all contributing to his rich operational background. He has also worked with international partners as a consultant or project management member in organizations like KOICA, KOFIH, ABH, and IMCHA. Dr. Bulcha has managed several large-scale public health projects and has delivered capacity-building trainings, campaign coordination, and strategic planning, demonstrating leadership across policy, research, and community-based implementation. His career showcases a deep integration of practice, mentorship, and policy-level influence.

Research Interest

Dr. Bulcha’s research interests center on maternal, newborn, and child health (MNCH), health communication, mobile health (mHealth) technologies, and epidemiology. He is particularly passionate about leveraging digital platforms to improve health behaviors and service utilization, as evidenced by his recent work on developing the Ulfamijuu mobile messaging software. His research also explores health systems strengthening, community engagement, and the use of spatial analysis and mixed-methods studies to understand public health barriers and enablers. He has contributed to more than 25 publications in peer-reviewed journals, with topics ranging from mobile messaging interventions to health information systems and social determinants of health. His research frequently adopts a user-centered design approach, ensuring that interventions are practical and culturally appropriate. Dr. Bulcha’s focus on integrating technology with behavioral science reflects a forward-thinking and impactful research agenda, tailored to address public health challenges in low-resource settings like Ethiopia.

Award and Honor

While specific formal awards are not detailed in the available documentation, Dr. Gebeyehu Bulcha Duguma’s recognition stems from his extensive contributions to high-impact public health research and programs. He has served as Principal Investigator (PI) and Co-PI on numerous funded projects supported by international organizations such as KOFIH, KOICA, and IMCHA, which in itself reflects trust in his leadership and research capabilities. His peer-reviewed publications in prestigious journals such as BMJ Open, BMC Public Health, and JMIR Research Protocols highlight the academic community’s acknowledgment of his work. Additionally, his continuous invitations to contribute as a consultant, trainer, and lead researcher on national and international projects stand as informal honors affirming his expertise. His selection to present at the 35th EPHA Annual Conference and his leadership in developing mobile health technologies further signify his status as an innovator and leader in Ethiopian public health research.

Conclusion

Dr. Gebeyehu Bulcha Duguma exemplifies the qualities of a transformative public health leader and researcher. With a multidisciplinary educational background, hands-on experience across multiple domains of public health, and a strong research portfolio, he has made significant contributions to improving health outcomes in Ethiopia. His work on mobile health interventions, capacity building, and community health systems bridges the gap between research and practical implementation. He stands out for his ability to integrate epidemiological rigor with innovative communication strategies, enhancing the reach and effectiveness of public health programs. Through numerous collaborations with international organizations, he has demonstrated leadership, innovation, and sustained impact in the field. Dr. Bulcha is a strong candidate for the Best Researcher Award, not only for the volume and quality of his research but also for its relevance, scalability, and alignment with global health priorities. His career reflects a commitment to evidence-based practice and a vision for health equity and innovation.

Publications Top Notes

  • Title: A quality assessment of Health Management Information System (HMIS) data for maternal and child health in Jimma Zone, Ethiopia
    Authors: M Ouedraogo, J Kurji, L Abebe, R Labonté, S Morankar, KH Bedru, G Bulcha, et al.
    Year: 2019
    Citations: 88

  • Title: Factors associated with maternity waiting home use among women in Jimma Zone, Ethiopia: a multilevel cross-sectional analysis
    Authors: J Kurji, LA Gebretsadik, MA Wordofa, M Sudhakar, Y Asefa, G Kiros, G Bulcha, et al.
    Year: 2019
    Citations: 53

  • Title: Effectiveness of upgraded maternity waiting homes and local leader training on improving institutional births: a cluster-randomized controlled trial in Jimma, Ethiopia
    Authors: J Kurji, LA Gebretsadik, MA Wordofa, S Morankar, KH Bedru, G Bulcha, et al.
    Year: 2020
    Citations: 26

  • Title: Utilization of key preventive measures for pregnancy complications and malaria among women in Jimma Zone, Ethiopia
    Authors: M Ouedraogo, J Kurji, L Abebe, R Labonté, S Morankar, KH Bedru, G Bulcha, et al.
    Year: 2019
    Citations: 14

  • Title: Uncovering spatial variation in maternal healthcare service use at subnational level in Jimma Zone, Ethiopia
    Authors: J Kurji, B Talbot, G Bulcha, KH Bedru, S Morankar, LA Gebretsadik, et al.
    Year: 2020
    Citations: 12

  • Title: Maternal social support and health facility delivery in Southwest Ethiopia
    Authors: A Mamo, M Abera, L Abebe, N Bergen, S Asfaw, G Bulcha, Y Asefa, et al.
    Year: 2022
    Citations: 8

  • Title: Effectiveness of a Mobile Phone Messaging–Based Message Framing Intervention for Improving Maternal Health Service Uptake and Newborn Care Practice in Rural Jimma Zone
    Authors: G Bulcha, HG Abdissa, J Noll, DA Sori, ZB Koricha
    Year: 2024
    Citations: 4

  • Title: Community’s knowledge, perceptions and preventive practices on Onchocerciasis in Jimma zone, Ethiopia, formative mixed study
    Authors: D Abdissa, Y Kebede, M Sudhakar, G Abraham, G Bulcha, T Shiferaw, et al.
    Year: 2024
    Citations: 4

  • Title: Prevalence and Predictors of Contraceptive Use Among Women of Premenopausal Period in Ethiopia: A Retrospective Cross-Sectional Data Analysis
    Authors: D Geleta, A Kebede, G Bulcha, H Usman, K Hajibediru, S Kebede, et al.
    Year: 2021
    Citations: 4

  • Title: Spatial variability in factors influencing maternal health service use in Jimma Zone, Ethiopia: a geographically-weighted regression analysis
    Authors: J Kurji, C Thickstun, G Bulcha, M Taljaard, Z Li, MA Kulkarni
    Year: 2021
    Citations: 3

  • Title: Effectiveness of Integrated Social and Behavior Change Communication Interventions in Mass Drug Administration Campaigns in Enhancing Knowledge, Perceptions, and Preventive Practices
    Authors: D Abdissa, Y Kebede, S Morankar, G Abraham, G Bulcha, T Shiferaw, et al.
    Year: 2024
    Citations: 2

  • Title: Maternal health service utilization in the Jimma Zone, Ethiopia: results from a baseline study for mobile phone messaging interventions
    Authors: G Bulcha, H Gutema, D Amenu, Z Birhanu
    Year: 2024
    Citations: 2

  • Title: Exploring religious leaders’ experiences and challenges on childbirth at health institutions. A qualitative study
    Authors: L Abebe, Z Birhanu, N Bergen, G Bulcha, K Haji, M Kulkarni, J Kurji, et al.
    Year: 2022
    Citations: 2

  • Title: Barriers to use of institutional childbirth services: A qualitative study in the rural Jimma Zone, Ethiopia
    Authors: LA Gebretsadik, F Lakew, A Mamo, M Abera, KH Bediru, G Bulcha, et al.
    Year: 2024
    Citations: 1

  • Title: Maternal Social Support and Determinants of Health Facility Delivery in Rural Ethiopia
    Authors: A Mamo, M Abera, L Abebe, N Bergen, S Asfaw, G Bulcha, Y Asefa, et al.
    Year: 2021
    Citations: 1