معرفی
Khan Iftekharuddin is a Professor in the Department of Electrical & Computer Engineering at Old Dominion University. He directs the Vision Lab and specializes in signal/image processing, neural networks, and cybersecurity. Contact: kiftekha@odu.edu.
Education:
- Ph.D. in Electrical Engineering, University of Dayton (1995)
- M.S. in Electrical Engineering, University of Dayton (1991)
- B.S. in Electrical and Electronic Engineering, Bangladesh Institute of Technology (1989)
Research Interests: Dr. Iftekharuddin's work spans computational methods for biomedical imaging (e.g., brain tumor segmentation, epilepsy detection), pattern recognition (pose-invariant face recognition), and environmental monitoring (flood detection via crowdsourced imagery). His lab integrates machine learning with sensor systems for real-world applications.
Publication Trends: Recent articles (2017–2018) focus on deep learning applications in healthcare (Alzheimer's classification, autism behavioral analysis) and environmental sensing. Earlier work emphasizes fractal-based medical imaging and distortion-invariant target recognition, demonstrating consistent innovation at the intersection of algorithms and applied engineering.
Awards & Honors:
- Researcher of the Year, Old Dominion University (2014)
- SPIE Fellow (2004)
- Herff Outstanding Faculty Research Award (2011)
- Top rankings in MICCAI/NIH tumor segmentation challenges (2014–2015)
Grants & Advising: Secured over $7M in funding, including federal grants for brain tumor analysis ($1.6M) and anthropometric identity recognition ($450K). Mentored undergraduates in NSF REU programs and collaborates with institutions like St. Jude Research Hospital.
Labs & Teams: Leads the Vision Lab, focusing on computer vision, pattern recognition, and multi-sensor fusion. Collaborates with clinicians, environmental scientists, and defense researchers on projects like TransLIVE ($3.5M transportation initiative).
