His project focuses on improving data authenticity and security for remote server storage and encrypted communications.

He will contribute his extensive knowledge in data analysis and computational linguistics to enhance the company’s legal analytics platform.

His team developed a faster malware detection method using downloader-graph analytics, enabling earlier identification of malware by about nine days compared to existing anti-virus systems.

Through informative workshops and dynamic speakers, the summit will emphasize inclusive computing—efforts that address the positive impact that underrepresented groups have and will continue to have on the future of technology.

The papers showcase new tools for understanding big data, controlling computers with body language, innovative desktop tools and more.

The contest has revealed key insights into secure software development, showing that diverse programming knowledge and a hands-on approach to both building and breaking code lead to more secure systems.

The event brought together global experts to discuss advances in quantum cryptography and the urgency of developing post-quantum cryptosystems.

Jianxin Chen is applying algebraic geometry and representation theory to explore quantum channels and entanglement theory, revealing unexpected interactions between quantum channels and working toward understanding multipartite entanglement.

It will fund research and innovation to help mobile developers improve security of their apps by avoiding poor encryption practices and privacy-invasive actions that can put users’ data at risk.

They have teamed up to better diagnose and treat Parkinson’s disease using visualization-assisted clustering to track motor and non-motor symptoms, aiming to create a 2,000-patient longitudinal dataset to improve early detection and treatment.