Title: Megacity: Avatars in Collaborative Virtual Environment (CVE) approach for Decision Making
PI: Dr. Sharad Sharma, awarded by the U.S. Army Research Laboratory (ARL), Award Period: 08/04/2017 to 08/03/2018, Award Amount: $85,000.00. We have used game creation as a metaphor for creating an experimental setup to study human behavior in a megacity for emergency response, decision-making strategies, and what-if scenarios. Our proposed collaborative VR environment includes both immersive and non-immersive environments. The participant can enter the CVE setup on the cloud and participate in the emergency evacuation drill, which leads to considerable cost advantages over large-scale, real-life exercises. We present two ways for controlling crowd behavior. The first defines rules for agents, and the second provides controls to the users as avatars to navigate in the VR environment as autonomous agents. The novelty of our work lies in modeling behaviors (hostile, non-hostile, selfish, leader-following) for computer-controlled agents so that they can interact with user-controlled agents in a CVE.
Title: Developing a Cloud-based Cryptographic Simulator for Enhancing Undergraduates’ Learning Experience in Cybersecurity
PI: Dr. Weifeng (Frank) Xu, awarded by the National Science Foundation, Award Period: 8/1/2017 to 8/1/2020. Award Amount: $400,000. Dr. Xu, students, and other professionals will be building a web-based cyber security simulator over the next three years that will simulate real-world cyber threats and other challenges as a training tool for students and educators. This grant will expand cyber security education at BSU using new and innovative methods. Project goals include partnering with local high schools and area HBCUs to assist in building a qualified cyber security workforce to satisfy future demand.
Title: Planetary Data System - Small Bodies Node
Co-PI: Dr. Bo Yang, awarded by NASA, Award Period 12/1/2015 - 11/30/2020. Dr. Yang and students have created a logic-based model for representing the semantics of complex space data objects. Dr. Yang along with Computer Science students have done research and written a paper called ICSSA: Association-Aware Data Retrieval in Planetary Data Systems.