Kwabena Bennin

Dr. Kwabena Bennin is an Assistant Professor in the Information Technology Group at Wageningen University & Research. His expertise spans software engineering, machine learning, and software quality assurance. He holds a PhD in Computer Science from City University of Hong Kong and a BA (Hons) in Computer Science and Statistics from the University of Ghana.

His research focuses on applying AI to software engineering tasks, including defect prediction, automated testing, and software analytics. He has conducted extensive studies on machine learning applications in agriculture, such as plant disease detection using deep learning. Bennin also explores recommender systems for sustainable online food choices and has experience in distributed software development methodologies.

He has over 40 international publications and has worked as a Postdoctoral researcher at Blekinge Institute of Technology and a Data Science Consultant at Ericsson. His current projects include developing socio-technical decision support systems for healthy and sustainable food choices in online shopping platforms.

• Key Skills: Software Architecture, Empirical Software Engineering, Precision Agriculture Analytics
• Education:
  • PhD in Computer Science, City University of Hong Kong
  • BA (Hons) in Computer Science and Statistics, University of Ghana

His work integrates technical innovation with real-world applications, addressing challenges in both software systems and agricultural technology domains.