About

Po-Ju Chen, Ph.D., CHIA, CAHTA, is a distinguished scholar in the field of hospitality, tourism, and recreation management. She earned her undergraduate degree in Accounting from Tamkang University and completed her graduate studies at Pennsylvania State University, where she obtained a Master of Science in Hotels, Restaurants and Recreation Management and a Ph.D. in Leisure Studies. Dr. Chen is a two-time Fulbright Scholar and has held academic positions at several reputable institutions, including the University of Central Florida, North Carolina Central University, and North Arizona University, where she served as associate executive director of the School of Hotel and Restaurant Management. Her primary research focuses on consumer behaviors and services management within hospitality and tourism, with particular interests in tourism, meetings, incentives, conventions, exhibitions, entrepreneurship, innovation, sustainability, and cross-cultural research. Dr. Chen actively collaborates with industry leaders and organizations, including destination management organizations, parks, restaurants, hotel companies, and attractions. She has published extensively in leading journals and has received numerous awards for her research contributions. Additionally, she has served as a visiting professor at various international universities and has been recognized for her teaching excellence with the John Wiley & Sons Award for Innovation in Teaching. Dr. Chen is also deeply involved in industry partnerships, community outreach, and academic leadership, serving as the Executive Editor of the Journal of Hospitality and Tourism Education and holding leadership roles in several professional organizations.

Research topics

• Computer Science
• Data Mining
• Computer Security
• Sociology
• Engineering
• Distributed computing
• Real-time computing
• Electrical engineering
• Psychology
• Human–computer interaction
• Mechanical engineering
• Physics
• Mathematics education
• Pedagogy
• Engineering physics
• Multimedia
• Telecommunications
• Optics
• Database
• Engineering management
• Computer network

Selected publications

• Prediction of Electric Vehicle Penetration and Its Impacts on Distribution Systems: A Real-World Case Study in Maryland

  2024-04-14 · 1 citations

  articleSenior author

  With the growing penetration of electric vehicles (EVs) in power distribution networks, electric utilities are facing many challenges. For example, the growing EV charging load may cause degradation in voltage quality, higher network losses, and overloading of equipment. The distribution grid infrastructure needs to be upgraded to handle these problems. In this study, we develop an integrated data-driven planning framework for electric utilities to predict EV adoption and analyze their impacts on distribution feeders. This planning framework consists of two modules. In the first module, we design a generalized Bass diffusion model (GBM), which utilizes historical adoption data, EV availability, incentives, cost, and demographic information to predict EV adoption at the zip code or feeder level. Subsequently, in the second module, we combine the EV adoption prediction and the representative EV charging load profiles to analyze the impacts of EVs on distribution feeders such as voltage violations and equipment overloading. The proposed solution framework can be applied universally to different locations and population groups and was tested in a case study in Maryland, U.S. using real-world data and distribution circuit models. The results feature accurate predictions of EV adoption and reveal when, where, and how severe the voltage violations and overloading issues will be with the growing EV penetration. The proposed framework serves as a valuable tool for system planners to determine distribution system upgrade plans.

  PublisherDOI

• A Curriculum for Arc-Flash Analysis: For College Students

  IEEE Industry Applications Magazine · 2024 · 2 citations

  • Computer Science
  • Sociology
  • Engineering

  A curriculum for arc-flash (AF) analysis for college students is crucial, as it can increase awareness of and prevent accidents from AF hazards (AFHs) in the early stage of their career in relevant fields. AF is an electrical breakdown of the resistance of air that can cause serious injury or even death to workers. It occurs when there is sufficient voltage in an electrical system and a path to ground or lower voltage. According to the Occupational Safety and Health Administration (OSHA), five to ten AF incidents occur every day, and more than 2,000 workers suffer from severe burn caused by AFHs annually <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref>. AFHs can have substantial implications, both affecting the financial stability of individuals and businesses and deeply impacting the personal lives of victims and their families. Hence, it is essential to develop a course that aids students in acquiring an in-depth comprehension of AFHs prior to entering the workforce.

  PublisherDOI

• Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location

  arXiv (Cornell University) · 2024-10-15

  preprintOpen access

  Understanding the exact fault location in the post-event analysis is the key to improving the accuracy of outage management. Unfortunately, the fault location is not generally well documented during the restoration process, creating a big challenge for post-event analysis. By utilizing various data source systems, including outage management system (OMS) data, asset geospatial information system (GIS) data, and vehicle location data, this paper creates a novel method to pinpoint the outage location accurately to create additional insights for distribution operations and performance teams during the post-event analysis.

  PublisherOA PDFDOI

• Resource allocation and client association in mmWave 5G networks using stochastic geometry

  2023-12-12

  book-chapterSenior author

  A 5G millimeter wave (mmWave) network, which operates at frequency bands above 24 GHz, is able to deliver speeds of Gbps through the use of beam-forming and the dense deployment of small cell access points (APs). In order to achieve load balancing among APs and fair allocations of channel resources among clients, a distributed algorithm based on dual decomposition has been proposed in the literature to deal with the problem of the associations of clients with APs and the allocations of channel resources. In order to obtain the overall throughput performance of a mmWave 5G network, clients are generally assumed to be evenly distributed over a service area, and a point Poisson process (PPP) is performed to generate the locations of clients and APs in each simulation run. In this paper, a different approach is adopted, in which stochastic geometry is employed to estimate the theoretical average throughput performance, without having to resort to a large number of simulations.

  PublisherDOI

• A Utility Use Case: Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location

  2021 IEEE Power &amp; Energy Society General Meeting (PESGM) · 2023 · 1 citations

  • Computer Science
  • Computer Science
  • Data Mining

  Understanding the exact fault location in the post-event analysis is the key to improving the accuracy of outage management. Unfortunately, the fault location is not generally well documented during the restoration process, creating a big challenge for post-event analysis. By utilizing various data source systems, including outage management system (OMS) data, asset geospatial information system (GIS) data, and vehicle location data, this paper creates a novel method to pinpoint the outage location accurately to create additional insights for distribution operations and performance teams during the post-event analysis.

  PublisherDOI

• Percutaneous Endoscopic Unilateral Laminotomy and Bilateral Decompression under 3D Real-Time Image-Guided Navigation for Spinal Stenosis in Degenerative Lumbar Kyphoscoliosis Patient: An Innovative Preliminary Study

  2020-04-01

  preprintOpen access

  <title>Abstract</title> Background The aim of this study is to report a new method of percutaneous endoscopic decompression under 3D real-time image-guided navigation for spinal stenosis in degenerative kyphoscoliosis patients without instability or those who could not endure major surgery due to multiple comorbidities. Decompression along using endoscope for kyphoscoliosis patient is technical demanding and may result in unnecessary bone destruction leading to further instability. With 3D real-time image-guided navigation, we could improve the accuracy of surgery and maintain the spinal stability as preoperative condition. This is the first study which reports on treating spinal stenosis in patients with degenerative kyphoscoliosis using percutaneous endoscope under 3D real-time image-guided navigation. MethodsIn this study, we presented four cases. All patients were over 70 years old with variable degrees of kyphoscoliosis and multiple comorbidity who could not endure major spine fusion surgery. Percutaneous endoscopic unilateral laminotomy and bilateral decompression under 3D real-time image-guided navigation were successfully performed. Intraoperative photos demonstrating this technique are also provided Results All patients were successfully treated with percutaneous endoscopic laminotomy with under 3D real-time image-guided navigation. Post-operative X ray and MRI were arranged and revealed sufficient decompression without any unnecessary bone destruction. All preoperative neurological symptoms improved postoperatively. There is no surgery-related complication such as inadequate decompression, dural tear, iatrogenic neurological injury, uncontrolled epidural hemorrhage, unnecessary bone destruction with further instability. Conclusions To the best of our knowledge, this is the first preliminary study of percutaneous endoscopic laminotomy under O-arm navigation with successful outcomes. The innovative technique serves as a promising solution in treating spinal stenosis patients with lumbar kyphoscoliosis and multiple comorbidities.

  PublisherOA PDFDOI

• DDPG-Based Radio Resource Management for User Interactive Mobile Edge Networks

  2020 · 9 citations

  1st authorCorresponding
  • Computer Science
  • Computer Science
  • Multimedia

  The development of the fifth-generation (5G) system on capability and flexibility enables emerging applications with stringent requirements, such as ultra-high-resolution video streaming and online interactive virtual reality (VR) gaming. Hence, the resource management problem becomes more complicated than in the past, and machine learning can be a powerful tool to provide solutions. In this article, the Deep Deterministic Policy Gradient (DDPG) is used to schedule resources in an edge network environment. We integrate a 3D radio resource structure with componentized Markov decision process (MDP) actions to work on user interactivity-based groups. From the simulation results, we can see that more users are satisfied with DDPG-based radio resource management, especially in bandwidth and latency demanding situations.

  PublisherDOI

• Percutaneous Endoscopic Unilateral Laminotomy and Bilateral Decompression under 3D Real-Time Image-Guided Navigation for Spinal Stenosis in Degenerative Lumbar Kyphoscoliosis Patient: An Innovative Preliminary Study

  Research Square · 2020-09-16

  preprintOpen access
  PublisherOA PDFDOI

• Percutaneous Endoscopic Unilateral Laminotomy and Bilateral Decompression under 3D Real-Time Image-Guided Navigation for Spinal Stenosis in Degenerative Lumbar Kyphoscoliosis Patients: An Innovative Preliminary Study

  Research Square · 2020-07-16

  preprintOpen access
  PublisherOA PDFDOI

• Percutaneous Endoscopic Unilateral Laminotomy and Bilateral Decompression under 3D Real-Time Image-Guided Navigation for Spinal Stenosis in Degenerative Lumbar Kyphoscoliosis Patient: An Innovative Preliminary Study

  Research Square · 2020-10-26

  preprintOpen access
  PublisherOA PDFDOI

Frequent coauthors

• Mladen Kezunović

  20 shared

• Ken Yeh

  11 shared

• Cheng‐Wu Chen

  Northeast Forestry University

  11 shared

• Wei-Ling Chiang

  9 shared

• Vuk Malbaša

  University of Novi Sad

  8 shared

• Tatjana Dokic

  8 shared

• Szu-Hsuan Lee

  4 shared

• Tsung-Yu Ho

  China Medical University

  4 shared

Education

• B.A., Accounting

  Tamkang University

• M.S., Hotels, Restaurants and Recreation Management

  Pennsylvania State University

• Ph.D., Leisure Studies

  Pennsylvania State University

Awards & honors

• Best Paper Award 2019 - Tourism and Retail Management
• Article of the Year Award 2019 - Journal of Global Scholars…
• Best Reviewer Award 2018 - Journal of Global Scholars of Mar…
• Center for Success of Women Faculty Honoree 2018
• Jewish National Foundation Fellow 2017-2018