Stephen Afrifa is a Lecturer at the University of Energy and Natural Resources (UENR), Ghana, specializing in Information Technology and Decision Sciences. He is a Ph.D. candidate in Information and Communication Engineering at Tianjin University, China, with a research focus on speech enhancement, audio recognition, image and signal processing, deep learning, and applied machine learning. He holds an M.Sc. in Information and Communication Engineering from Tianjin University and a B.Sc. in Information Technology (First Class) from UENR.
Scopus
Summary:
Mr. Stephen Afrifra is a highly skilled and innovative researcher specializing in AI-driven medical diagnostics. His interdisciplinary research, academic collaborations, and contributions to healthcare AI make him a strong candidate for the Best Researcher Award. His work demonstrates both theoretical advancements and real-world applications, with the potential to significantly impact healthcare and medical technology.
🎓 Education
Stephen Afrifa is a Ph.D. candidate in Information and Communication Engineering at Tianjin University, China, where he focuses on speech enhancement, audio recognition, image and signal processing, deep learning, and applied machine learning. He holds a Master of Science in Engineering (Information and Communication Engineering) from Tianjin University, where his research centered on mathematical and machine learning models for assessing the influence of climate change on groundwater level changes. His academic interests extend to the Internet of Things (IoT), cybersecurity, data science, cloud computing, and signal and image processing for a sustainable environment. He earned a First-Class Bachelor of Science degree in Information Technology from the University of Energy and Natural Resources (UENR), Ghana, acquiring in-depth knowledge of computing, artificial intelligence technologies, business planning, decision-making, database administration, and enterprise resource planning systems. His foundational education was at Kumasi High School, where he studied Biology, Chemistry, Physics, and Elective Mathematics, gaining practical experience in general and integrated science.
💼Experience
Stephen Afrifa is currently a Lecturer in the Department of Information Technology and Decision Sciences at the University of Energy and Natural Resources (UENR), Ghana. His role involves teaching, supervising, and guiding students at undergraduate and postgraduate levels, designing research projects, and contributing to community development through workshops and seminars. He is also a research lead at the AMANPENE Foundation, an organization leveraging IT for poverty alleviation and climate change mitigation. In addition to his academic role, he works as a Software Application Developer and Research Lead at CY Technologies, where he designs and develops software solutions, leads research projects, analyzes data, and publishes research reports.
🔬Research Focus
His research primarily integrates artificial intelligence, machine learning, and geospatial techniques to address climate change, security, and decision-making challenges. He has explored the use of mathematical and AI-driven models to assess climate change impacts on groundwater levels, as well as applications of IoT, cloud computing, and cybersecurity in environmental sustainability. His work extends to speech enhancement, audio recognition, and signal processing, contributing to advancements in information and communication engineering.
🛠️Skills
Stephen possesses a strong background in information technology, research, and innovation. His expertise includes artificial intelligence, machine learning, cybersecurity, geospatial techniques, data science, and climate modeling. He is well-versed in programming languages such as Python, R Studio, C/C++, LaTeX, Java, HTML5, PHP OOP, JavaScript, and CSS, as well as statistical and analytical tools like SPSS, NVIVO, GIS, and GenStat. Additionally, he has significant experience in project management, IT network security, decision-making, software development, and mentoring students.
🏆Awards
Stephen Afrifa was recognized as the Best Graduating Student in the Department of Computer Science and Informatics at UENR in 2020. He was also a recipient of the prestigious Absa (formerly Barclays Bank) Tertiary Scholarship from 2017 to 2020, which supported his academic excellence and leadership in the field of information technology.