Mr. Julius Adinkrah, Kwame Nkrumah University of Science and Technology (KNUST), Ghana
Julius Adinkrah is a dedicated researcher and educator from Ghana, specializing in computer engineering and artificial intelligence. Currently pursuing a PhD in Computer Engineering at Kwame Nkrumah University of Science and Technology (KNUST), he has a strong academic foundation with an MPhil in Scientific Computing and Industrial Modelling and a BSc in Mathematics. His passion for AI applications in sustainable energy and data-driven solutions is evident in his impactful publications. Julius has demonstrated his commitment to advancing knowledge as a Teaching Assistant at KNUST and the University of Mines and Technology. His expertise spans programming languages, machine learning, and data analysis, complemented by scholarships like the ACE Impact Scholarship and AI for Development Africa Scholarship. Through his research and teaching, Julius strives to contribute innovative solutions to pressing global challenges while mentoring the next generation of technology leaders.
Professional Profile
Scopus
Orcid
Summary of Suitability for the Research for Best Researcher Award
Julius Adinkrah demonstrates a strong academic foundation and research trajectory, which makes him a compelling candidate for the Research for Best Researcher Award. His ongoing PhD in Computer Engineering at the Responsible Artificial Intelligence Lab (RAIL) at Kwame Nkrumah University of Science and Technology (KNUST) places him at the forefront of cutting-edge research in Artificial Intelligence (AI). His published work on “Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation,” scheduled for publication in Renewable and Sustainable Energy Reviews in 2025, highlights his contribution to the interdisciplinary field of AI and energy sustainability—a vital area for global development.
Education
Julius Adinkrah’s educational journey reflects a deep commitment to advancing in technology and computational sciences. He is currently a PhD candidate at Kwame Nkrumah University of Science and Technology (KNUST) within the Responsible Artificial Intelligence Lab (RAIL), focusing on cutting-edge AI research. Previously, he earned an MPhil in Scientific Computing and Industrial Modelling at KNUST’s National Institute of Mathematical Sciences, where he honed his expertise in computational problem-solving and data modeling. Julius also holds a BSc in Mathematics from the University of Mines and Technology (UMaT), where he cultivated his foundational analytical and mathematical skills. Beyond formal education, he pursued specialized certifications, including the Google Africa Developer Training Program and courses in machine learning, data science, and programming through 365 Data Science. This rich educational background has equipped Julius with a strong technical and theoretical foundation for addressing complex problems in engineering and AI.
Professional Experience
Julius Adinkrah’s professional experience spans academia and industry, underscoring his adaptability and commitment to excellence. In academia, he served as a Teaching Assistant at KNUST and UMaT, mentoring students in mathematics and computational sciences. His teaching roles allowed him to simplify complex concepts and nurture a passion for problem-solving among learners.
In the industry, Julius worked as a waiter at Alterran Service (ATS), showcasing his ability to thrive in customer-oriented environments, honing his communication and teamwork skills. Additionally, his experience as a Mathematics and ICT Teacher at Christ Leading Preparatory School highlights his ability to impart knowledge effectively to younger learners.
Julius combines his academic and professional expertise to contribute meaningfully to the fields of AI and computer engineering. His experience has instilled a strong work ethic, technical competence, and a collaborative approach, making him a versatile professional dedicated to impactful contributions.
Awards and Recognition
Julius Adinkrah’s academic achievements have been recognized through prestigious awards and scholarships. He is a recipient of the ACE Impact Scholarship, awarded under the KNUST Engineering Education Project (KEEP), which supports exceptional researchers driving impactful innovations. Julius also earned the Artificial Intelligence for Development Africa Scholarship from the Responsible Artificial Intelligence Lab (RAIL) at KNUST, acknowledging his pioneering work in AI applications.
These accolades reflect his outstanding research capabilities and dedication to advancing AI technologies in Africa. They serve as a testament to his ability to address global challenges through innovative approaches. Julius’s recognition extends beyond academia, where his ability to excel in collaborative and interdisciplinary projects has been widely acknowledged. These honors underscore his commitment to academic excellence, groundbreaking research, and the development of AI-driven solutions to complex societal and technological problems.
Julius Adinkrah excels in a wide range of research skills, focusing on artificial intelligence (AI), data science, and computational modeling. He has significant expertise in programming languages, including Python, R, C, and MATLAB, which he employs for developing AI-driven models and simulations. His experience in data cleaning, preprocessing, and analysis, using tools like Pandas and NumPy, underscores his proficiency in handling large datasets efficiently.
Julius’s research interests include AI applications in sustainable energy and industrial optimization, reflecting his ability to integrate theoretical knowledge with practical solutions. His strong foundation in mathematics and machine learning has enabled him to publish impactful research in renowned journals. Additionally, Julius is adept at using LaTeX and Microsoft Office Suite for academic writing and presentation. With a collaborative mindset and interdisciplinary approach, he consistently delivers high-quality research outputs addressing critical global challenges.
Publication Top Notes
Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review
- Authors: Adinkrah, J.; Kemausuor, F.; Tutu Tchao, E.; Adu-Poku, A.; Kponyo, J.J.
- Year: 2025