
Jing Wen
· Assistant ProfessorVerifiedGeorgia Institute of Technology · Building Construction
Active 2019–2026
About
Jing Wen is an assistant professor in the School of Building Construction at Georgia Tech. She received her Ph.D. from the M.E. Rinker, Sr. School of Construction Management at the University of Florida. Her research focuses on investigating the implications of human-technology interactions within the construction management domain. Specifically, she explores the applications of emerging technologies to promote inclusion and diversity in construction and to shape the future of construction education and work. Her research efforts follow multidisciplinary methodologies that blend human-technology interaction and educational technology, with particular attention to attracting new students to construction and enhancing learning for current students. Dr. Wen emphasizes the importance of teaching as an integral part of her academic activities, viewing it as a natural pathway for transferring research findings. She aims to enable students to become independent lifelong learners and to prepare them for the future of work by integrating applied cutting-edge research and real-world construction contexts into her classroom. She teaches courses on Building Information Modeling and Digital Twins for the Built Environment. Her areas of expertise include construction education, workforce recruitment and retention, human-technology interaction, reality capture technologies, and visualization technologies.
Research topics
- Computer Security
- Computer Science
- Political Science
- Business
- Economics
- Biochemistry
- Mathematics education
- Pharmacology
- Geography
- Cancer research
- Social psychology
- Pedagogy
- Medicine
- Chemistry
- Medical education
- Environmental economics
- Psychology
- Transport engineering
- Engineering
Selected publications
UroPrecision · 2026-04-21
articleOpen accessAbstract Background This study aimed to evaluate the short‐term influence of preoperative educational materials on the quality of life in patients with newly diagnosed urinary cancer before surgery. Methods Patients with urinary cancer were retrospectively enrolled from April 2020 to March 2021. Quality of life was assessed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire‐Core 30 version 3.0 on the day of admission and after patients read the education materials. Propensity score matching was applied to match baseline characteristics in subgroup analyses. Results A total of 180 patients were enrolled. Most of them were male with renal cancer. Sleep disturbance ( p = 0.004), appetite loss ( p = 0.013), fatigue ( p = 0.002), constipation ( p = 0.029), and physical function ( p = 0.006) showed statistically significant differences post‐intervention. Subgroup analyses suggested that improvements in sleep disturbance, fatigue, and physical function persisted in the younger group (≤ 60 years old), while bladder cancer patients showed improvements in physical function and cognitive function. Conclusion Preoperative educational materials were associated with short‐term improvements in specific quality of life domains among patients with urinary cancer. Younger age and bladder cancer diagnosis appeared to be potential effect modifiers.
Commercial Supersonic Operations and Network Analyses
2024-01-04
article1st authorCorrespondingThis paper presents findings regarding the effects of different commercial supersonic transport (SST) designs and operational scenarios on network-level metrics such as market capture, throughput, and environmental impact assuming a forecasted network in 2050. In terms of aircraft design, two SST families were considered, one with aerodynamics and propulsion system designed for Mach 1.8 supersonic cruise, and the other for Mach 2.2. There are two variants in each family, one with supersonic design range of 4250 nautical miles (nmi) and the other with 4500 nmi. Both aircraft families are designed to seat 55 passengers. Regarding operational scenarios, subsonic (Mach 0.9) and Mach cut-off (estimated by using Mach 1.1) overland flight were both evaluated. Finally, a scenario with more stringent sonic boom regulation (no secondary booms reaching land) was also investigated.
An Integrated Path Planning Tool for Civil Supersonic Flight Operations
2024-01-04 · 5 citations
article1st authorCorrespondingTrajectory planning for supersonic flight is a task that requires multidisciplinary knowledge. The authors identified three major components required for such path planning tool: graph search algorithm, sonic boom carpet estimation, and aircraft mission analysis. The graph search algorithm performs basic path planning, sonic boom carpet estimation capability ensures the trajectories satisfy en-route noise regulations, and aircraft mission analysis makes sure that the trajectory is feasible in terms of fuel burn. Having such a tool is crucial for understanding flights with more complex geography in between the origin-destination pairs. To heighten the perspective, a robust flight routing tool is also useful for evaluating the operational feasibility of civil supersonic aircraft in its potential service network, especially during early stages of aircraft design (for example, when specifying design requirements in terms of cruise Mach number or design range).
A Network Simplification Algorithm for Global Flight Operations Analysis
2024-01-04
article1st authorCorrespondingThis paper presents an improved method for simplifying global flight networks and its application in network-level analysis. The motivation behind this study is the desire to expedite network-level operational analysis for civil supersonic aircraft during the conceptual design stage, given the high computational cost of flight routing and mission analysis. Furthermore, reducing the network's complexity can help researchers and engineers better understand the different types of mission profiles that the aircraft might encounter in the real world (for example, in terms of stage length and percentage of subsonic/supersonic segments). Similar to a previous study published by the authors, this network simplification procedure is able to preserve the original network's regional coverage and approximate vertex (airport) locations. The benefits of this new formulation include reduced computational cost, improved network-level results, and wider applicability.
Fleet Wide Impacts of the Electrified Powertrain Flight Demonstration Technology Portfolio
2023-06-08
article1st authorCorrespondingView Video Presentation: https://doi.org/10.2514/6.2023-3871.vid This paper outlines the findings of a fleet-level study of the technologies under consideration by NASA’s Electrified Powertrain Flight Demonstrator (EPFD), focusing on the motivation, methodology, assumptions, and results of the research. With the industry’s desire towards advancing the future of sustainable aviation, this study’s objective was to analyze the potential environmental benefits of Electrified Aircraft Propulsion (EAP) technologies on fleet-level CO2 emissions up to the year 2050. To achieve this goal, the team developed multiple scenarios, both with and without the introduction of aircraft with EPFD technologies, and analyzed the results using the Global and Regional Environmental Aviation Trade-off (GREAT) tool. The paper presents the key findings of the study and provides insights into the potential benefits of EAP technologies for reducing the aviation industry’s carbon footprint.
Bioorganic Chemistry · 2023 · 11 citations
- Chemistry
- Pharmacology
- Biochemistry
2023-06-12
articleOpen access1st authorCorrespondingJournal of Autism and Developmental Disorders · 2023-05-12 · 6 citations
articleSenior authorCorrespondingA Method for Simplifying Medium- and Long-haul Global Flight Networks
AIAA AVIATION 2022 Forum · 2022-06-20
article1st authorCorrespondingView Video Presentation: https://doi.org/10.2514/6.2022-3915.vid This paper presents an algorithm for simplifying a global flight network consisting of medium- and long-haul flights that retains the original network’s regional coverage, approximate vertex (airport) locations, and edge length (total flight distance). This work is motivated by the need to speed up the network-level analyses for civil supersonic aircraft during the conceptual design stage, since flight routing and mission analysis are computationally expensive tasks. The algorithm first uses a traditional clustering technique to group vertices into appropriate regions, taking advantage of the hub-and-spoke nature of commercial aviation networks. Then, linkages are created among different clusters to reconstruct a simplified representation of the flight network. This algorithm reduces the complexity of the original network and un- covers its underlying structure. By simplifying the network under investigation, network-level performance metrics can be obtained with significantly less computation time, speeding up the design space exploration process.
Frontiers in Psychology · 2022 · 20 citations
- Political Science
- Psychology
- Medical education
< 0.01). The primary school students' ICT literacy was significantly associated with student resilience and online learning self-efficacy. Student resilience played a mediating role between ICT literacy and online learning self-efficacy, while the rural/urban area factor moderated the relationship between ICT literacy and student resilience. These findings suggest that ICT literacy is more scarce and important for primary school students in rural areas of China than for those in urban areas. Improving ICT literacy among primary school students can enhance students' resilience and thus improve their online learning self-efficacy, especially in rural areas.
Frequent coauthors
- 14 shared
Dimitri N. Mavris
Georgia Institute of Technology
- 8 shared
Turab Zaidi
Georgia Institute of Technology
- 7 shared
Holger Pfaender
Georgia Institute of Technology
- 7 shared
Colby J. Weit
- 6 shared
Akshay Anand
National Council for Scientific Research
- 6 shared
Yajian Li
Chinese Academy of Medical Sciences & Peking Union Medical College
- 6 shared
Nianzeng Xing
Chinese Academy of Medical Sciences & Peking Union Medical College
- 6 shared
Madhukar Mayakonda
Georgia Institute of Technology
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