Khan Iftekharuddin

Dr. Khan Iftekharuddin's innovative methodologies enhance understanding of complex systems through his extensive research in the fields of signal and image processing, neural networks applications, and time-frequency analysis. As a Professor in the Electrical & Computer Engineering Department at Old Dominion University, he brings a wealth of knowledge and experience to his students and colleagues alike. Dr. Iftekharuddin earned his B.Sc. degree from the Bangladesh Institute of Technology, followed by an M.S. and a Ph.D. in electrical engineering from the University of Dayton. His academic journey laid a strong foundation for his future endeavors in both academia and industry. Before joining Old Dominion University, he contributed significantly to the field as a principal research engineer at Timken Research and as a senior systems engineer at BDM Federal. His research interests are diverse and cutting-edge, focusing on the development and application of advanced techniques in signal and image processing. Dr. Iftekharuddin is particularly interested in the integration of neural networks and time-frequency analysis to enhance the performance and capabilities of sensors and embedded systems. His work aims to push the boundaries of current technology and provide innovative solutions to complex engineering challenges. Throughout his career, Dr. Iftekharuddin has been committed to advancing the field of electrical and computer engineering through both his research and teaching. He is dedicated to mentoring the next generation of engineers, helping them to develop the skills and knowledge necessary to succeed in an ever-evolving technological landscape. His contributions to the field have been recognized through numerous publications and presentations at national and international conferences. Dr. Iftekharuddin's passion for research and education is evident in his ongoing projects and collaborations with industry partners and academic institutions. He continues to explore new frontiers in engineering, driven by a desire to improve the functionality and efficiency of modern technological systems. His work not only enhances the academic community but also has practical implications for a wide range of applications in various industries.