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Congratulations to Dr. Sumit Jha

September 17, 2015
Congratulations to Dr. Sumit Jha for receiving $54,333 in new funding from CyberRisk Partners, LLC for a project titled “The Design and Validation of Computational Models for Cyberinsurance Pricing”.

Gita Sukthankar Appointed to Darpa Study Group

September 6, 2015
Associate Professor Gita Sukthankar has been appointed to the Information Science and Technology study group for the Defense Advanced Research Projects Agency (DARPA).

Congratulations to Dr. Avelino Gonzalez

August 21, 2015
Congratulations to Dr. Avelino Gonzalez on receiving $314,011 in new funding from the NSF for a project titled: “SCH: INT: Collaborative Research: Diagnostic Driving: Real Time Driver Condition Detection Through Analysis of Driving Behavior”.

Congratulations to Dr. Avelino Gonzalez

August 11, 2015
Congratulations to Dr. Avelino Gonzalez on receiving $231,974 from the NSF in new funding from the NSF for a project titled: “IRES: Avatar based Adaptive Storytelling System”.

Congratulations to Dr. Sumit Jha

July 8, 2015
Congratulations to Dr. Sumit Jha on receiving a $16,000 REU supplement from the National Science foundation for a grant titled “XPS: EXPL: FP: Collaborative Research: Formal methods based algorithmic synthesis of more-than-Moore nano-crossbars for extreme-scale computing.”

Congratulations to Dr. Sumit Jha

June 8, 2015
Congratulations to Dr. Sumit Jha on receiving $50,067 from the Royal Bank of Canada for a project titled: “RF: Design and Validation of Cyber-security Applications for Mobile Banking Platforms”.

Congratulations to Dr. Mubarak Shah

May 27, 2015
Congratulations to Dr. Mubarak Shah on receiving $20,000.00 from the Florida Center for Cybersecurity for a project titled “Identity Assurance using Biometrics for Cybersecurity”.

Congratulations to Dr. Sumit Jha

May 26, 2015
Congratulations to Dr. Sumit Jha for receiving $25,000.00 from UT-Battelle, LLC/Oak Ridge National Laboratory (ORNL) for a project titled “Algorithmic Validation of Clustering, Classification, and Anomaly Detection Algorithms using Information Theoretic Measures and Bayesian Statistics”.