Kamrul Hasan

Dr. Kamrul Hasan is a faculty member at Grand Valley State University's College of Computing, where he teaches courses including Knowledge Discovery and Data Mining, Data Structures and Algorithms, and Machine Learning. His academic work spans multiple domains with a focus on practical applications of machine learning techniques.

His research interests encompass a wide spectrum of machine learning applications:

• Semi-supervised active learning and Generative AI including Large Language Models
• Precision Farming technologies to reduce costs and environmental impact
• Natural Language Processing and Computer Vision systems
• Machine Learning applications in Health Informatics and Cybersecurity

His work demonstrates a strong emphasis on translating theoretical research into practical products and tools.

His recent publications reveal a consistent focus on data mining and machine learning applications across diverse domains including healthcare (malaria research, Alzheimer's prevalence), aviation maintenance, and fashion technology. The trajectory shows increasing emphasis on practical implementations of machine learning techniques in real-world scenarios.

Dr. Hasan actively mentors students through multiple research projects spanning precision farming, medical imaging analysis, and disease prevalence studies. His grant portfolio includes the CSCE Catalyst award for enhancing IoT security through semi-supervised learning and dissemination grants for conference presentations.

Current research opportunities he offers to students include Precision Farming tools development, Distributed Semi-Supervised Learning models, and Knowledge Discovery and Data Mining collaborations with domain experts across various fields.