Jing Wen

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

Selected publications

• A Top-Down Methodology for Global Urban Air Mobility Demand Estimation

  AIAA Aviation 2019 Forum · 2020 · 26 citations

  The convergence of several key technologies during the past decade are enabling the ideation of new Urban Air Mobility (UAM) concepts of operations. UAM systems have the potential to bring significant improvements to the way people move and commute within cities and these include a reduction in commuting time, a reduction of roadway congestion, and a reduction of emissions. Understanding the potential demand for UAM services is crucial for the various stakeholders in order to ensure that the air…

  PublisherDOI

• Sizing and Performance Analysis of a Turbo-Hybrid-Electric Regional Jet for the NASA ULI Program

  AIAA Propulsion and Energy 2019 Forum · 2019-08-16 · 23 citations

  article

  The Ohio State University is spearheading a NASA University Leadership Initiative (ULI) focused on the advancement of turbo and hybrid electric propulsion, with an intent to enter service in the 2030 timeframe. This is a first of its kind 5-year program with a team of multi-disciplinary universities working on developing and demonstrating the enabling hardware. The main emphasis of this effort is to mature currently available technologies related to motor drives, power electronics, batteries, an…

  PublisherDOI

• Estimating supersonic commercial aircraft market and resulting CO$$_2$$ emissions using public movement data

  CEAS Aeronautical Journal · 2021-01-01 · 7 citations

  article
  PublisherDOI

• A Methodology for Supersonic Commercial Market Estimation and Environmental Impact Evaluation (Part II)

  AIAA AVIATION 2020 FORUM · 2020-06-08 · 7 citations

  article1st authorCorresponding

  With the increasing research efforts in civil supersonic transport (SST) during the past decade, companies like Boom and Aerion are making the comeback of civil supersonic flight more promising than ever. Both companies believe that substantial demand exists in civil supersonic aviation, and opportunities are present. However, many regulatory hurdles and operational constraints impose strict limitations on supersonic flight and should not be overlooked. In addition, these aircraft are likely to…

  PublisherDOI

• An Integrated Path Planning Tool for Civil Supersonic Flight Operations

  2024-01-04 · 5 citations

  article1st authorCorresponding

  Trajectory 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 te…

  PublisherDOI

Frequent coauthors

• Dimitri N. Mavris

  Georgia Institute of Technology

  14 shared

• Turab Zaidi

  Georgia Institute of Technology

  8 shared

• Holger Pfaender

  Georgia Institute of Technology

  7 shared

• Colby J. Weit

  7 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

  6 shared

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