Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award

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.

Angelica Rachel Carpio | Pharmacology | Best Researcher Award

Ms. Angelica Rachel Carpio | Pharmacology | Best Researcher Award

Ms. Angelica Rachel Carpio at DLSU Laguna, Philippines

Angelica Rachel E. Carpio is a highly driven bioengineer and nanotechnology researcher from Mapúa University, where she is completing both her Bachelor’s and Master’s degrees in Biological Engineering. With published research in respected journals such as Life and the Journal of the Taiwan Institute of Chemical Engineers, her work explores innovative applications of natural compounds and nanomaterials for therapeutic use. She has hands-on experience in advanced laboratory techniques, computational modeling, and scientific writing, strengthened by international research training in Taiwan and immersion in Japan. Currently, she contributes to nanotechnology development at De La Salle University, focusing on photoluminescent inks using carbon nanodots. In addition to her technical expertise, Angelica has held leadership roles in various academic organizations, showcasing her teamwork and communication skills. Her multidisciplinary approach, academic excellence, and commitment to scientific advancement make her a promising and impactful researcher in the field of bioengineering and nanotechnology.

Professional Profile 

Scopus Profile

Education

Angelica Rachel E. Carpio is currently pursuing a dual degree program—Bachelor and Master of Science in Biological Engineering—at Mapúa University in Manila, Philippines, from 2020 to 2025. Her academic journey reflects consistent excellence, having previously completed the Science, Technology, Engineering, and Mathematics (STEM) strand during her senior high school years at the same university. Throughout her education, Angelica has been recognized for her academic performance, earning quarterly and semestral honors. Her foundational years at St. Mary’s Academy of Caloocan City also demonstrate early academic strength. Her coursework blends bioengineering, nanotechnology, and computational sciences, preparing her for interdisciplinary research. Her involvement in technical and laboratory-intensive education has equipped her with both theoretical knowledge and practical skills, making her a well-rounded scholar capable of tackling complex scientific challenges across engineering and life sciences.

Professional Experience

Angelica Rachel E. Carpio has gained practical research and academic experience in multiple capacities across institutions. As of March 2025, she serves as a Project Technical Assistant I at De La Salle University’s Center for Natural Sciences and Environmental Research, where she is actively involved in nanotechnology research, particularly the development of photoluminescent inks using carbon nanodots. Previously, she completed a research internship at National I-lan University in Taiwan, contributing to projects in biochemistry and microbial fuel cells, which culminated in a scholarly publication. Her earlier experience includes a role as a Student Assistant at Mapúa University, where she facilitated administrative tasks and student outreach. She also participated in a scientific immersion program in Tokyo, Japan, expanding her global perspective. These diverse roles reflect a well-rounded professional background that combines scientific inquiry, technical execution, and organizational support, laying a strong foundation for a research-intensive career.

Research Interest

Angelica’s research interests are rooted in the intersection of bioengineering, nanotechnology, and computational biology. She focuses on developing therapeutic strategies using natural products, such as plant metabolites and microbial fermentation, combined with modern molecular techniques. Her recent publications explore the anti-cancer potential of Vaccinium-derived compounds and the enhanced production of anthraquinones in rhubarb through fermentation, showcasing her inclination toward pharmacological innovation using bioinformatics tools like molecular docking and network analysis. She is also engaged in nanomaterial research, particularly in developing carbon-based nanodots for photoluminescent applications, revealing a keen interest in functional biomaterials. Her ability to integrate wet-lab experiments with computational modeling highlights a strong systems-level approach to research. This multidimensional interest positions her at the forefront of modern biological engineering, where she aims to bridge natural sciences with engineered solutions for health and environmental applications.

Award and Honor

Angelica Rachel Carpio has consistently earned recognition for her academic and leadership excellence throughout her educational journey. She has received quarterly and semestral academic excellence awards during her time in senior high school at Mapúa University, where she graduated with honors. At St. Mary’s Academy of Caloocan City, she was also an Academic Excellence Awardee, underscoring her consistent performance from an early age. While specific research awards are not listed, her publications in reputable international journals, her international research internship in Taiwan, and participation in a scientific immersion in Japan stand as strong indicators of merit. Furthermore, her selection as a Project Technical Assistant I at a prominent research center such as De La Salle University is, in itself, a form of professional recognition. These accomplishments reflect both academic rigor and early research impact, validating her potential as a high-achieving scholar and future leader in scientific research.

Conclusion

Angelica Rachel E. Carpio emerges as a promising and multifaceted researcher with a solid educational background, hands-on professional experience, and a clear focus on innovation at the intersection of nanotechnology and biological engineering. Her early contributions to research through published work, international exposure, and technical roles at prestigious institutions showcase her ability to apply scientific knowledge to real-world problems. Angelica’s diverse skill set—from laboratory techniques and computational modeling to leadership in academic organizations—demonstrates maturity beyond her years. She represents the new generation of researchers who are collaborative, globally aware, and technically adept. With continued mentorship and opportunities to expand her research portfolio, Angelica is well on track to make meaningful contributions to the scientific community. Her credentials make her an excellent candidate for honors such as the Best Researcher Award, especially in the category of emerging or early-career researchers.

Publications Top Notes

  • Title: Berries as Nature’s Therapeutics: Exploring the Potential of Vaccinium Metabolites in Gastric Cancer Treatment Through Computational Insights
    Authors: Carpio, Angelica Rachel; Talubo, Nicholas Dale D.; Tsai, Po Wei; Chen, Boryann; Tayo, Lemmuel Lara
    Year: 2025
    Journal: Life