Experts in computer vision, machine learning, cryptography and virtual reality are among the five new faculty members who joined Stevens Institute of Technology’s computer science department this fall.
The five come to Stevens with experience at institutions and organizations such as the University of North Carolina, Bell Laboratories and Rochester Institute of Technology. They help bolster programs that have seen strong student demand.
Three of the faculty members are on a tenure track with extensive track records in cutting edge research and will engage students both in graduate and undergraduate programs of the department. The two other faculty members are on a teaching track and will focus full-time on working with students as both instructors and mentors.
Enrique Dunn joins Stevens as an associate professor. His research area is computer vision, with specific emphasis on the image-based analysis of the geometric and semantic properties of large-scale environments within the context of crowd-sourced data. He was most recently a research assistant professor at the University of North Carolina.
Fernando Perez-Cruz joins Stevens as an associate professor. His research focuses in machine learning and information processing. Especially in the development of Bayesian machine Learning methods and algorithms. Perez-Cruz was most recently a member of the technical staff of Bell Laboratories. He also previously held a faculty position at the University of Carlos III in Madrid, a visiting professorship at Princeton University and a postdoctoral research fellowship at University College London.
Nikos Triandopoulos joins Stevens as an associate professor. Prior to joining Stevens he was a principal research scientist at RSA Laboratories. He previously held faculty positions at Boston University and the University of Aarhus. His research areas include security, privacy and cryptography with a focus on cloud and network security and secure protocol design.
Iraklis Tsekourakis joins Stevens as a teaching assistant professor. His research interests include computer vision and more specifically multi-view and video-based dynamic 3-D reconstruction.
Srinivas Sridharan joins Stevens as a teaching assistant professor. He served as an adjunct faculty member at Rochester Institute of Technology. His research focuses on applied perception in computer graphics and computer vision. The key areas of interest include predicting and subtly guiding visual attention in natural images and videos. He is currently working on machine learning techniques to infer real world task performance, and application of visual attention models to virtual environments.