Dr. Kazim Sekeroglu is an Associate Professor in the Department of Computer Science at Southeastern Louisiana University, where he also serves as the Undergraduate Coordinator. He earned his Ph.D. in Computer Engineering from Louisiana State University, with a dissertation centered on deep learning applications in medical image analysis.
Dr. Sekeroglu's research focuses on the theory and applications of computer vision and machine learning, including deep learning systems, medical image processing, brain-computer interfaces, and computer-aided diagnosis. His recent work involves developing innovative architectures for EEG signal processing and healthcare technologies, with notable contributions in hierarchical deep-fusion learning frameworks.
As a principal investigator, Dr. Sekeroglu has secured multiple research grants, including funding from the NIH-Louisiana Biomedical Research Network and the Louisiana Board of Regents. His findings have been published in journals like Sensors and Machine Vision and Applications, as well as at renowned international conferences on computer vision and machine learning.
In addition to his research, Dr. Sekeroglu is committed to education, teaching courses in artificial intelligence, computer vision, deep learning, and human-computer interactions. He has supervised numerous master's theses and undergraduate research projects, particularly in brain-computer interfaces, computer vision, and advanced deep learning applications.
