The Computing and Information Sciences Program is a PhD program housed in the B. Thomas Golisano College of Computing and Information Sciences.
Dates of Existence2006-present
Documents from 2019
Transferring Generalized Knowledge from Physics-based Simulation to Clinical Domain, Mohammed Abdullatif Alawad
Documents from 2017
Election-Attack Complexity for More Natural Models, Zack Fitzsimmons
Documents from 2016
Understanding the Impact of Diversity in Software Bugs on Bug Prediction Models, Harold Valdivia-Garcia
Bayesian Inference with Combined Dynamic and Sparsity Models: Application in 3D Electrophysiological Imaging, Jingjia Xu
Documents from 2015
The Role of Situation Awareness Metrics in the Assessment of Indoor Orientation Assistive Technologies that Aid Blind Individuals in Unfamiliar Indoor Environments, Abdulrhman A. Alkhanifer
Effects of Virtual Humans’ Facial Emotional Displays on Persuasion, Yuqiong Wang
Documents from 2014
Probabilistic Modeling and Inference for Obfuscated Network Attack Sequences, Haitao Du
Documents from 2013
Joint optimization of manifold learning and sparse representations for face and gesture analysis, Raymond Ptucha
Documents from 2012
Solving hard problems in election systems, Andrew Lin
Documents from 2010
From medical images to individualized cardiac mechanics: A Physiome approach, Chun Wong
Documents from 2009
Intelligent deployment strategies for passive underwater sensor networks, Erik Golen
Personalized noninvasive imaging of volumetric cardiac electrophysiology, Linwei Wang
