131 citations · 264 across the 17 of their papers we have counts for
17 papers
WorkR: Occupation Inference for Intelligent Task Assistance
Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman +1
Occupation information can be utilized by digital assistants to provide occupation-specific personalized task support, including interruption management, task planning, and recomme…
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality
Kyle K. Qin, Mohammad S. Rahaman, Yongli Ren +3
Human movements in the workspace usually have non-negligible relations with air quality parameters (e.g., CO, PM2.5, and PM10). We establish a system to monitor indoor human mo…
Solar Power Time Series Forecasting Utilising Wavelet Coefficients
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton +1
Accurate and reliable prediction of Photovoltaic (PV) power output is critical to electricity grid stability and power dispatching capabilities. However, Photovoltaic (PV) power ge…
Imagining Future Digital Assistants at Work: A Study of Task Management Needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman +11
Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a D…
Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses
Nan Gao, Mohammad Saiedur Rahaman, Wei Shao +2
Seating location in the classroom can affect student engagement, attention and academic performance by providing better visibility, improved movement, and participation in discussi…
CoSEM: Contextual and Semantic Embedding for App Usage Prediction
Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White +1
App usage prediction is important for smartphone system optimization to enhance user experience. Existing modeling approaches utilize historical app usage logs along with a wide ra…