Mr Benjamin Kwasi Gyamfi | Information and Communication Sciences | Best Researcher Award |

Mr. Benjamin Kwasi Gyamfi | Information and Communication Sciences | Best Researcher Award |ย 

Graduate Teaching Assistant, at Ball State University, United States.

Benjamin Kwasi Gyamfi is a dedicated researcher and finance professional with a strong academic background and extensive experience in financial analysis, information systems, and business research. Passionate about data-driven decision-making, he integrates financial expertise with technology to drive innovative solutions. His work spans research, teaching, leadership, and entrepreneurship, demonstrating a commitment to academic excellence and real-world impact.

Professional Profile

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Google Scholar

Education ๐ŸŽ“

Benjamin is currently pursuing a Master of Science in Information and Communication Sciences at Ball State University, Muncie, Indiana, with an expected completion in July 2025. He also holds a Master of Business Administration (Finance Specialization) from the Manipal Academy of Higher Education, India, where he conducted research on banking mergers and financial performance. Additionally, he has pursued Chartered Accountancy at the Institute of Chartered Accountants, Ghana, completing all but one final-level paper. His undergraduate studies include a Bachelor of Arts in Economics with Computer Science from the University of Ghana, where he analyzed the impact of microfinance on poverty reduction.

Professional Experience ๐Ÿ’ผ

Currently serving as a Graduate Assistant at Ball State University, Benjamin mentors and teaches Public Speaking to 135 students while assisting in course development and student engagement. He also serves as the Financial Secretary for the Sports Complex Lands Regularization Association, where he manages financial records, audits, and reporting. As the Founder of Attitudinal Breakthrough Foundation, he leads research-driven initiatives focused on community empowerment, education, and business process efficiency. His previous roles include working with Ga North Municipal Assembly as a Management Information Systems Trainee, where he developed business databases for over 7,000 entities and validated financial transactions exceeding $30,000. Additionally, he contributed to Ecobank Ghana Limited as a Subscription Officer during MTN Ghanaโ€™s IPO project, handling over 2,000 shareholder records and managing large-scale financial subscriptions.

Research Interests ๐ŸŒ

Benjaminโ€™s research primarily explores financial performance analysis, microfinance, banking systems, and information technology applications in finance. His past projects have examined the effects of mergers and acquisitions on banking performance, financial ratios in corporate assessments, and geographic information system (GIS) applications in revenue management. His interdisciplinary approach bridges the gap between finance, technology, and economic development, emphasizing innovative strategies for financial sustainability.

Awards & Honors ๐Ÿ†

Benjamin has earned various certifications and accolades, reflecting his dedication to continuous learning and leadership. He has completed professional training in Google Project Management, Business and Impact Planning (MITx), Leadership Certification (NAD), and Research Methods for Business Students. His ability to integrate finance and technology has positioned him as a thought leader in business process improvements and data governance.

Top Noted Publications ๐Ÿ“š

Text Classification: How Machine Learning Is Revolutionizing Text Categorization โ€“ H. Allam, L. Makubvure, B. Gyamfi, K. N. Graham, K. Akinwolere | Cited by: 1 | Published: 2024

Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education โ€“ H. M. Allam, B. Gyamfi, B. AlOmar | Indexed in: Education Sciences | Cited by: Pending | Published: 2025

Conclusion

With a strong foundation in finance, research, and technology, Benjamin Kwasi Gyamfi is a rising scholar dedicated to advancing financial systems through research and innovation. His expertise in data analytics, financial modeling, and strategic decision-making positions him as a valuable contributor to both academia and industry. As he continues to expand his research footprint, his work will play a pivotal role in shaping the future of financial sustainability and business intelligence.

Mr Ernesto Diaz | Data Scientist | Best Researcher Award

Mr Ernesto Diaz |ย  Data Scientist | Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging , United States.

Ernesto Diaz is an accomplished researcher and data scientist specializing in biomedical imaging and artificial intelligence applications in healthcare. With a strong background in medical imaging, deep learning, and data science, he has contributed significantly to Hyperpolarized Carbon-13 MRI research, cancer imaging, and radiation oncology. His work has been recognized through prestigious NIH awards, peer-reviewed publications, and multiple conference presentations. Passionate about advancing healthcare technology, Ernesto combines technical expertise with a commitment to mentorship and diversity in STEM.

Professional Profile

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Education ๐ŸŽ“

Ernesto earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, graduating with Deanโ€™s List honors (2020-2022). His education provided a strong foundation in programming, data analysis, and computational research, which he has applied extensively in biomedical imaging and artificial intelligence projects.

Professional Experience ๐Ÿ’ผ

  • As a Data Scientist at UCSFโ€™s Department of Radiology and Biomedical Imaging, Ernesto leads software development for medical imaging analysis, enhancing data processing and visualization tools. His previous research experience includes working on automated radiation treatment planning and bioinformatics coding for population health studies. His contributions have improved efficiency in clinical workflows and advanced AI applications in medical imaging.

Research Interests ๐ŸŒ

His research revolves around Hyperpolarized Carbon-13 MRI, deep learning for medical image segmentation, and automation in radiation oncology. At UCSF, he developed a DICOM standardization tool for metabolic imaging and co-developed a U-Net deep learning model for prostate cancer segmentation. Additionally, he has explored health disparities in underserved communities, analyzing COVID-19โ€™s impact on marginalized populations.

Awards & Honors ๐Ÿ†

  • NIH Diversity Supplement Award (2022-2024) โ€“ Recognized for contributions to Hyperpolarized 13C MRI research.
  • NIH-SF BUILD Scholar (2021-2022) โ€“ Selected for leadership potential and commitment to diversity in research.
  • Deanโ€™s List (2020-2022) โ€“ Awarded for academic excellence at San Francisco State University.

Top Noted Publications ๐Ÿ“š

Title: Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

Authors: Satvik Nayak, Henry Salkever, Ernesto Diaz, Avantika Sinha, Nikhil Deveshwar, Madeline Hess, Matthew Gibbons, Sule Sahin, Abhejit Rajagopal, Peder E. Z. Larson, et al.

Journal: Tomography

Publication Year: 2025

DOI: 10.3390/tomography11030021

Indexing: Indexed in major scientific databases.

Conclusion

Ernesto Diaz is a rising leader in medical imaging research, blending AI, data science, and biomedical imaging to drive innovation. With his technical skills, research excellence, and dedication to mentorship, he continues to push the boundaries of healthcare technology and scientific discovery. ๐Ÿš€