Interactive Agent-based eLearning Environment

Mentorina is launching an intelligent learning system that helps teachers observe, measure, and improve each student’s individual performance in the classroom. Teachers can design individualized assignments or exams and through cognitive and metacognitive assessments, they can accurately measure how quickly students are learning the material and can determine each student’s level of comprehension. Through an […]

Read More
GPN-EMV: Emulation and visualization of game private networks and game servers performance

Proprietary technology developed by WTFast allows global network services to distribute and manage the load for massive multiplayer games despite their logically centralized architecture. In the proposed project, we plan to evaluate this architecture and the potential for predictability and scalability of the server and ”arbiter” components. Another goal is to utilize the infrastructure created […]

Read More
Predicting Impact of Biological Research Manuscripts

Meta’s 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 […]

Read More
Improving the Performance of Java Virtual Machine (JVM) Garbage Collection using Transactional Memory

As the multi-processing power of computers continues to grow, traditional methods of memory management become more and more problematic. The purpose of this project is to quantitatively analyze existing memory management tactics to determine whether they can be improved using techniques that take advantage of modern hardware, or instead, whether brand new methods for managing […]

Read More
Multi-dimensional wellbeing: Examining how financial, social, health, and environmental factors interactively determine subjective wellbeing

Maintaining a high level of subjective wellbeing (SWB) is critical to a happy and productive life. To achieve happiness, it is important to know what factors determine SWB. So far, a number of factors have been identified, including income, social relationships, physical health, and the environment. However, it is currently unknown how these factors interact […]

Read More
Spatial Sentiment Visualization for Text Data

Large numbers of online comments about a public consultation from citizens makes it difficult for decision-makers on public projects. To clarify various cognitions of participants is important. But reading through all comments, especially long ones, is unrealistic due to the high cost. An example dataset is 974 comments about whether residents support a new 0.5% […]

Read More
Video Cloaking

The goal of this project is to build a system which hides extra data within a video transmission. With only a minor or non-perceptible degradation in the quality of the transmitted video, another lower rate video or other data payload can be sent over the same channel as the primary video. The usefulness of the […]

Read More
End-User Understanding of Web Certificates

“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. When […]

Read More
Implementation of the parallel FDTD analysis for optical devices simulation

As the complexity of the modern simulation problems increase, the simulation efforts have been growing constantly. Taking advantage of the current multi-core chip to fully utilizing the modern processors available in the market, the development of computational simulators that are scalable and portable between current hardware have become a real challenge. As a result of […]

Read More
Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers Year Two

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

Read More
LearnCloud: Crowdsourcing Educational Content for Syrian Refugee Children

Over half of the 1.8 billion school-aged children in the world lack access to basic education. The situation becomes worse in war-torn countries as conflicts in the Middle East, and in particular Syria, escalate. It is estimated that over 2.6 million Syrian children have not been in school for over three years. Thus, the proposed […]

Read More