Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fundamental approach for solving computational physics problems. Due to the high computational demands and inherently parallel nature of these applications, Monte Carlo transport applications are often performed in the supercomputing environment. That…

With the increasing data security awareness of mobile crowdsensing (MCS) participants, smartphone app developers are continually developing technical security protections, but with little consideration on human behaviors. Information technology (IT) advancements seen in the introduction of homomorphic encryption and privacy preserving…

Procrastination is a well-known phenomenon experienced by a lot of people in everyday life. People sometimes intentionally, sometimes unintentionally put off their tasks even though they might be worse off due to the delay (e.g., not paying bills due, even though they have sufficient funds in their bank account). It is safe to say everybody…

Population growth and migration patterns have shown an influx of residents from rural to urban environments. To deal with the problems caused by unprecedented urban influx, cities should plan to use technology in a smart and distinctive way. Tackling at the city scale is hard. But a set of smart buildings that are interconnected by technology will…

For the past two decades, educational intervention research has rallied around the common goal of determining "what works in education" to inform education practice and policy (U.S. Department of Education, 2017). To study individual, contextual, and implementation processes and their interaction with educational interventions requires…

The concept of precision medicine aims to provide additional context to patient data for healthcare providers. Precision medicine overlays three additional layers of patient data on top of standard patient information: environmental exposure, personal lifestyle and behavior patterns, and information gleaned from their genome. While precision…

The field of life science is facing a great challenge, in that the tools are beginning to outpace the user. Technology has rapidly been accelerating while the knowledge to use this new tech has been unable to keep pace. For example: as the recent push to get the faster, cheaper sequencing machine designed has inspired engineers to design…

Improving the quality of healthcare while simultaneously reducing its overall costs remains a challenge. One of the recommended approaches for achieving this goal is to build high quality data collection and reporting systems to facilitate evidence-based practice (EBP), which emphasizes the importance of using the solid evidence available to make…

Data centric applications, an important effort of software development in large organizations, have been mostly adopting a software methodology, such as a waterfall or Rational Unified Process, as the framework for its development. These methodologies could work on structural, procedural, or object oriented based applications, but fails to capture…