"Much of life is online, so online security is critical. While many aspects of security are infrastructural, users must make key decisions. In particular, users must decide which websites to trust and which to avoid. How can users know if a website is truly what it claims to be? This is a pivotal issue.
Metas Bibliometric Intelligence is a service platform to provide automated and in-depth manuscript assessment to authors and publishers in biological science. This internship project is to develop a new version of Bibliometric Intelligence. The intern will apply state-of-art machine learning and natural language processing skills to improve its performance. Accurate assessment and profiling of manuscript by the new Bibliometric Intelligence will allow researchers and publishers to pre-rank manuscripts efficiently, and to reduce the unnecessary painful submission waiting time.
During the duration of the proposed project, the intern will become a member of the partner organizations Big Data team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may include notifying specific users of new product releases, or of an upcoming sale that may be of interest to them.
The rise in adoption of online services for sensitive tasks such as banking and accessing public services, has led to increased security and data privacy requirements. Many institutions use third-party services for logging in and handling security. So you might enter a single username and password, connecting only once to access a number of different government services. This is convenient for a user, but there are some security risks in the way these third-party services are currently implemented.
Firms meet legally established accounting rules by including notes in financial statements that essentially hide key information in plain sight. That is, they contain information necessary to understand the statements, but due to the volume of notes and arcane language may be uninterpretable by even lawyers. However, these notes may be interpretable by a software application. For example, the notes in the Enron case were found to be decipherable by a human being, but only after substantial effort.
Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be programmed after manufacturing. It has applications in a wide variety of fields, from cryptography to machine learning. Computer Aided Design (CAD) tools are used to automate the process of programming FPGAs. Routing is a component of CAD that attempts to find an optimal design of wiring to connect logic blocks on an FPGA. Although it is an old problem, there are many interesting problems to solve and it is an active area of current research.
Many reservoir engineering studies are based on simplified equations to analyze the production data. However, in many situations such as shale gas reservoirs, these approaches cannot provide the accurate results in presence of non-homogeneous complexities. This project is aimed to use numerical simulation and novel workflows to tackle the limitations of the current analytical methods. These studies are performed using a state-of-the-art reservoir simulation (tNavigator by Rock Flow Dynamics).
Gene expression in blood is highly affected by the type and proportion blood cells. Therefore, cell composition needs to be taken into account when looking for signatures specific to a condition. The issue is that cell composition needs to be assessed on fresh blood, i.e. at time of blood collection. If this has not been done, the only way one can assess is by predicting it using a methodology suggested in this proposal. Therefore, if blood cell count is not available, the cell composition can be inferred from existing next generation sequencing data sets.
Along with industry partners, including NGrain, Convergent Manufacturing and Boeing, we are proposing to develop state-of-the-art visualization and interactive techniques for exploring sensor and manufacturing component data, in-situ.