Faculty Research

Research Profiles of CS Faculty

Many Computer Science faculty members are active in their own reseach. The faculty conduct research in such areas as artificial intelligence, computer science education, cybersecurity, data mining, IOT, machine learning, network, and visualization. Check out their research profiles or explore other faculty research materials below.

Representative CS Faculty Research

Visualization and Mining of Metabolomics Data

Dr. Vasil Hnatyshin

Liquid chromatography mass spectromecy (LC-MS) data is typically very large in size and often difficult and time-consuming to interperet. This research focuses on metabolomics data collected by the mass spectrometers. It investigates various artificial intelligence and machine learning techniques to automate, visualize, and, overall, streamline the process of analysis...

Text Detection and Character Recognition in Images using Machine Learning

Dr. Anthony Breitzman

Distinguishing and recongizing text in natural settings, (e.g., on road signs, license plates, product packages) is challenging due to variations in foreground text, background objects, and lighting conditions. This research is developing machine learning algorithms to detect text in images, identify its language, translate the text and classify the text into categories.

Intelligent Transportation, Smart Cities and Communities

Dr. Ning Wang

The proliferation of mobile and Internet-of-Things (IoT) devices raises questions about architectures. Data is generated from myriad devices and application services which operate simultaneously to digitize complex domains like smart buildings or industrial facilities. This research advances the state of the art in network systems architecture that includes edge infrastructure...

Early Dementia Detection

Dr. Ganesh Baliga

In a world where populations are aging, many older individuals are affected with dementia. Nearly one in nine Americans over the age of 65 has Alzheimer's disease. The biological substrate associated with Alzheimer's disease can start years, if not decades, before the disease is diagnosed. Research is underway to develop digital tests for early detection...

Securing Supervisory Control and Data Acquisition Communications

Dr. Vahid Heydari

Remote cyber-attackers often target SSH servers. Knowing the IP address of the SSH server is the first step for these remote attacks. In this research, a new method is presented to use dynamic IP addresses on the SSH server to avoid the server being targeted for SSH attacks. The IP address of the SSH server is changed randomly and dynamically as a Moving Target Defense...

Approaches for Analyzing Spatiotemporal Data for Anomalies

Dr. Shen-Shyang Ho

High population density urban areas have increasingly been the targets of terrorism in recent years due to the possibility of inflicting a large number of casualties in a crowded environment abd causing high impact disruption especially in the outdoor environment. The project develops new approaches to complement and validate results produced by existing approaches based on video surveillance...

Immersive Data Visualization

Dr. Bo (Beth) Sun

Exploring and analyzing big data translates information into insight. Visual analytics, as a new data analytics (DA) field, focuses on using interactive visual interface to for analytical reasoning. This research will develop a new visualization platform using immersive technology to solve dimension restrictions that traditional 2D data visualization cannot overcome.