HBL Video Theater 2 Room 2119A

Presenter: Yan Gu, Postdoc, Carnegie Mellon University Date: Tuesday, February 26 Time: 11-12pm Location: HBL Video Theater 2, Room 2119   Efficient Algorithms for Modern and Future Architecture   Abstract: In today’s data-driven world with rapidly increasing data sizes, performance has become more important than ever before. Many new hardware technologies have been designed to […]

Presenter: Ehab Al-Shaer, Professor and Director of Cybersecurity Centers, University of North Carolina Title: Automated Cyber Threat Extraction, Characterization and Hunting Using Analytics of Unstructured CTI Reports Date: Friday, February 22 Time: 11-12pm Location: HBL Video Theatre 2   Abstract: Many businesses, government agencies, and enterprises highly rely on analyzing cyber threat information reports for […]

 InCHIP has invited Drs. Jinbo Bi (Biomedical Engineering), Ashwin Dani (Electrical and Computer Engineering), Alexandra Paxton (Psychological Sciences), and Bing Wang (Computer Science and Engineering) will discuss how machine learning, artificial intelligence, and big data could be utilized in health research. More information is here.

Presenter: Yinqian Zhang, Assistant Professor, The Ohio State University Title: Rethinking Side-Channel Security in the Era of Confidential Computing Date: Wednesday, February 20 Location: HBL Video Theatre 2 Time: 11:30-12:30pm Abstract: “Side channels” commonly refer to “unintended” vectors of information leakage of a computer system. They allow adversaries to infer secrets by observing the “side […]

Title: Efficient Embedded Computing System for Underwater Real-Time Applications Ph.D. Candidate: Hussain Albarakati Major Advisor: Dr. Reda A. Ammar Associate Advisors: Dr. Sanguthevar Rajasekaran, Dr. Song Han Date/Time: Friday, February 1, 2019 10:00 am Location:  HBL Video Theater 2 Abstract: Underwater acoustic sensor networks have emerged as a new technology for underwater real-time applications such as oil inspection, seismic monitoring, […]

Title: QoS in SDN-Based Large-Scale Networks Ph.D. Candidate: Haitham Ghalwash Major Advisor: Dr. Chun-Hsi Huang Associate Advisors: Dr. Reda A. Ammar, Dr. Sanguthevar Rajasekaran  Day/Time: Friday, August 31, 2018 9:00am Location: HBL Video Theater 2 Abstract: Traditional networks often suffer from inefficient management and hard QoS guarantee.  Software-Defined Networking (SDN) technology is the new promising approach providing abstraction and programmability of the network, which facilitates the efficient resolution […]

Title: Secure Computation: Minimizing the Trusted Computing Base Abstract: Cloud computing entails a sacrifice of control; users give up configuration and management oversight of the infrastructure that contains their data and computing resources. To make cloud computing more trustworthy we urgently need new security solutions. From financial information to medical records, sensitive data is stored […]