Dr. Tappert's Research Interests

Dr. Tappert is interested in many areas of research - machine learning, deep learning, big data, data mining, biometrics, interactive visual image studies, natural language processing, security, forensics, and information assurance education. Through his 25+ years of research work at IBM, he has considerable expertise in speech processing, mainly speech recognition, and in handwriting/pen computing, mainly handwriting recognition.

Dr. Tappert is the Associate Director of the Doctor of Professional Studies (DPS) in Computing Program in the Seidenberg School of CSIS at Pace University, where he teaches the two-semester research-seminar sequence for first-year students and the two-semester emerging information technologies sequence for second-year students. He also teaches the capstone course in the Master of Science in Computer Science program, where the students work on real-world projects for actual customers. These projects involve both external organizations and internal university schools/departments. The external organizations are mostly non-profit organizations, such as local hospitals, or other universities. In recent years, many of the internal projects have been designed to create the necessary infrastructure for doctoral students to conduct their research, see the conference paper A Real-World-Projects Capstone Course in Computing: A 15-year Experience.

For more specifics of Dr. Tappert's research, see his publications.