The Seidenberg School of Computer Science and Information Systems at Pace University contains two departments, the Department of Computer Science and the Department of Information Technology.
We are pleased to announce that, following in the impressive footsteps of our previous department chairs, Dr. Li-Chiou Chen and Dr. Christelle Scharff, new department chairs have recently been appointed to the roles.
Computer Science Department
Anthony Joseph, PhD
Co-Chair
Dr. Anthony Joseph, Professor of Computer Science at Pace University, holds a Doctor of Philosophy degree in Electrical Engineering with specialization in digital signal processing and has worked in both industry and academia for over 35 years. He has supervised many projects and master’s theses. He has taught in the public primary school system in the Caribbean and the secondary and post-secondary educational systems in the USA. Dr. Joseph has provided numerous presentations to educators and public and private sector employees on STEM (science, technology, engineering, and mathematics) education and careers in such fields as engineering, computer science, and cybersecurity in the context of the national and global economy. He is active in the high school sphere and is a longstanding advisory board member on two NYC public high schools’ New York State approved Career and Technical Education (CTE) programs. Moreover, he counsels and advises high-ranking officials in both the public and private sectors. His research interests include digital signal processing, neural networks and deep learning, modeling and forecasting, data compression, cybersecurity and digital forensics, teamwork, innovation and entrepreneurship, and teaching and learning.
Dr. Joseph’s motto:
Teaching is more than mastering content and learning is more than reading and doing; they both require commitment and metacognition. Let’s meet students where they are and groom them into what they hope to become.
Lixin Tao, PhD
Co-Chair
Dr. Lixin Tao is a tenured professor and Co-Chair of the Computer Science Department of Pace University in New York. He received his PhD in computer science from the University of Pennsylvania in 1988, and conducted computer science research and teaching with Concordia University in Montreal for 13 years before he joined Pace University in 2001. His research interest includes cloud computing, internet and web computing, intelligent systems, software engineering, cybersecurity, parallel and distributed computing, and combinatorial optimization. He has published over 300 original papers in refereed international journals and conference proceedings. He is an IEEE senior member, and national ABET evaluator for computer science programs.
Quote from Dr. Tao:
We aim at bringing out the best from our students’ passion and initiatives in studying advanced computing technologies, and awarding them with the best career opportunities.
Information Technology Department
Namchul Shin, PhD
Chair
Namchul Shin is Professor of Information Systems and Department Chair in the Seidenberg School of Computer Science and Information Systems, Pace University. He received his Ph.D. in Management (specialization in MIS) from the University of California at Irvine. His current research interests focus on the areas of innovation, IT value, organizational impacts of IT, and open data. His work has been published in journals such as Decision Support Systems, Electronic Commerce Research and Applications, European Journal of Information Systems, Industry and Innovation, International Journal of Information Management, Journal of Electronic Commerce Research, Nature, and Science, among other journals. He is associate editor of the Journal of Electronic Commerce Research and a member of the editorial board of Business Process Management Journal. He has served the Office of the Provost as a faculty fellow from 2012 to 2014 and is a faculty fellow at the Wilson Center at Pace University.
Quote from Dr. Shin:
We are living in a time period termed the fourth industrial revolution (so-called Industry 4.0), which is characterized by emerging technologies, such as AI, IoT, the Cloud, Blockchain, and advanced data analytics. These technologies enable digital innovation and transformation, that may help address the economic and social challenges emerging today. IT Department of Seidenberg School supports students by helping them learn the fundamentals of IS/IT, with the balance of learning theories and having hands-on experience, to apply theories to practice. We support students to build up knowledge and capabilities to innovate using emerging technologies to create value for the society. We are student-centered and open for helping students learn.
Please join us in welcoming our new Department Chairs! We are excited to see where their leadership takes the Seidenberg School over the coming semesters.