Dr. Mohammad Teli is assistant professor of computer science at Harrisburg University.
His education includes a 2007 master’s degree and 2013 Ph.D., each in computer science, from Colorado State University. His most recently position was working as an assistant professor with the department of computer science and engineering at the National Institute of Technology in India. In addition, he worked as an instructor in Colorado State University’s computer science program, teaching object oriented programming using Java.
His research interests will allow Dr. Teli to bring a unique perspective on the ever-changing field of computer science in regards to face detection in videos. Dr. Teli also has experience researching computer vision, biometrics, image filter design, high dimensional data analysis and EEG signal understanding.
His Ph.D. dissertation was on the very topic of “Face Detection Using Correlation Filters.”
Face detection algorithms help find faces in an image or a video, if present, and report otherwise when the faces are missing. Face detection acts as a precursor to face verification and face recognition. These algorithms are used to help computers recognize the similarities and differences in people’s faces. As technology improves, the goal is to have the programs recognize faces as good as or even better than humans. It’s a tool that’s used by government agencies, law enforcement, marketing companies and many others.
Dr. Teli’s experience teaching in the United States and India at undergraduate and graduate levels will allow him to share his research skills with Harrisburg University students who will become future leaders in facial recognition technology.