Data Science, AI & Machine Learning
Data Science, artificial intelligence (AI) and machine learning involve making accurate predictions, data mining, machine learning, and more to guide business decisions. Research areas include: bio inspired control using data from animals, computational biology, computational imaging, cyber security, medical informatics, simulation, and video analytics.
TC: Large: Securing the Open Softphone
Mobile phones are in the midst of a dramatic transformation; they are becoming highly powerful sensor-rich software-controlled computing and communication devices. These “softphones” are increasingly entrusted with maintaining users’ electronic identity, calendars, social networks, and even bank accounts. However, the vast increases in the flexibility of softphones comes with equally large security issues and opportunities, […]
NeTS: Small: New Directions in Network Dimensionality Reduction for Routing and Beyond
Many important problems in computer networking depend on the observed properties of network graphs — graphs obtained by measuring real network. These include networks of routers, autonomous systems, wireless nodes, and social relationships. Unfortunately, despite the explosion of detailed data now available, such graphs are still poorly understood, in part because of the high dimensionality […]
Refinement Methods for Protein Docking based on Exploring Multi-Dimensional Energ
All successful state-of-the-art protein docking methods employ a so called multistage approach. At the first stage of such approaches a rough energy potential is used to score billions of conformations. At a second stage, thousands of conformations with the best scores are retained and clustered based on a certain similarity metric. Cluster centers correspond to […]