Performing object manipulation with full-body and dexterous hands is an essential human activity in everyday environment. Although problems involving object manipulation have been frequently studied by researchers in ...

Memory bloat is loosely defined as an excessive memory usage by an application during its execution. Due to the complexity of efficient memory management that developers have to deal with, memory bloat is pervasive and is ...

Continuous-Time Hidden Markov Model (CT-HMM) is a useful tool for modeling disease progression from noisy observed data arriving irregularly in time. However, the lack of any widely-accepted efficient learning algorithm ...

Big data analytics has become not just a popular buzzword but also a strategic direction in information technology for many enterprises and government organizations. Even though many new computing and storage systems have ...

Over the past several decades, many K-12 classes have moved to use open, inquiry-based approaches to science instruction; research has shown some benefits from these approaches. However, there also exist significant ...

The real social network and associated communities are often hidden under the declared friend or group lists in social networks. We usually observe the manifestation of these hidden networks and communities in the form of ...

Many individuals with autism manifest problems in transitioning to adulthood due to social impairments, communication difficulties, and rigid behaviors. One of those challenges is developing a robust and sufficiently large ...

A robot should be able to autonomously modify and utilize its environment to assist its task completion. While mobile manipulators and humanoid robots have both locomotion and manipulation capabilities, planning systems ...

Sensors are widely deployed in our environment, and their number is increasing rapidly. In the near future, billions of devices will all be connected to each other, creating an Internet of Things. Furthermore, computational ...

Markov chains are algorithms that can provide critical information from exponentially large sets efficiently through random sampling. These algorithms are ubiquitous across numerous scientific and engineering disciplines, ...