The NSF will support Khamfroush with $624,716 over five years for her research involving pre-processing data, while maintaining privacy, so that it can be trained for use in machine learning models for smart cities applications.
The program will provide Ware with more than $530,000 over five years to conduct research using artificial intelligence and virtual reality to create immersive police training for de-escalation.
The CAREER award contributes to Silvestri's long term research goal of laying the foundations for a new field of study at the intersection of computer science and social sciences, where social-behavioral theories and models are integrated into new algorithmic, machine learning and optimization solutions for cyber-physical systems to specifically consider user behaviors, perceptions and psychological processes in the design and operation of these systems.
Funds from the award will allow Thapliyal to develop circuit design techniques for energy-recovery circuits and a library of such design cells to facilitate low-power implementation of block cipher for mobile internet of things (IoT) devices, where reducing power consumption is critical.
Modern computer systems span a wide range of domains, ranging from consumer electronics to safety-critical systems. These systems evolve rapidly because the competition for market share pushes developers to come up with new features or improve capabilities over existing ones. Software developers must ensure that changes do not cause any unintended impact to the existing quality of the systems. Yu’s research is to create a novel regression testing framework that can be applied to real-world complex software systems throughout their lifetimes to help software developers assess whether changes have adversely affected system behavior.
Dr. Brent Seales leads the EduceLab, a highly specialized heritage science laboratory expertly designed to provide data-intensive yet object-centric solutions to the most challenging problems in the study of cultural heritage.
The Narrative Intelligence Lab is a highly interdisciplinary research group that investigates how computers can use narrative to interact more naturally with people. We combine research in Artificial Intelligence, Narrative Theory, and Cognitive Science to create computational models of narrative. These models allow machines to understand, generate, adapt, and tell stories.
The Center for Computational Sciences (CCS) is a University Center supporting the computational, data analytics, and storage needs of research faculty across the campus, and offers various systems including a high-performance computing system, an OpenStack cluster, a GPU facility, and object stores.
The Laboratory for Advanced Networking (LAN) provides leadership in the rapidly changing field of computer networks bring together researchers to design the networks of tomorrow. The LAN facilitates collaboration among researchers and offers access to advanced network resources and national testbeds.
