Harrisburg University Welcomes Professor With Experience In Face Detection Technology

Dr. Mohammad Nayeem Teli’s education and work experience has sent him around the world in search of opportunities to become one of the best in today’s computer science industry.

As a new assistant professor at Harrisburg University of Science and Technology, Dr. Teli is excited to help students learn the technology that will equip them with the tools needed to meet the challenges of today and the future.

“Nayeem is an energetic new faculty member who recently graduated from a world-class computer science program at Colorado State University,”said Dr. Eric Darr, president of Harrisburg University. “He brings industry experience as well as recent classroom knowledge across a variety of computer science areas.  Nayeem’s interest and expertise in biometrics and facial recognition technologies will add significantly to the student experience at Harrisburg University.”

111915_HU_portraits15Dr. Teli’s 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.

“I want to learn from my colleagues as well as the students,” Dr. Teli said. “I want to contribute my bit to the scientific world and help shape tomorrow’s world in whatever little way I can.”