Shuang Shen

About

Shuang Shen is an Associate Professor of Comparative Literature at the Department of Asian Studies. She holds a B.A. and M.A. from Beijing University in the People's Republic of China and a Ph.D. from The City University of New York, Graduate Center. Her academic interests and specializations include modern and contemporary Chinese literature, Sinophone literature of the twentieth century, Chinese diaspora literatures, Asian American literature, and postcolonial literature and theory. Shen's work focuses on these areas, contributing to the understanding of Chinese and Asian American literary traditions and postcolonial discourse.

Research topics

• Computer Science
• Engineering
• Statistics
• Mathematics
• Materials science
• Composite material
• Machine Learning
• Artificial Intelligence
• Process engineering
• Real-time computing

Selected publications

• Estimation of the Vehicle Speed Using Cross-Correlation Algorithms and MEMS Wireless Sensors

  Sensors · 2021 · 46 citations

  Traffic information is critical for pavement design, management, and health monitoring. Numerous in-pavement sensors have been developed and installed to collect the traffic volume and loading amplitude. However, limited attention has been paid to the algorithm of vehicle speed estimation. This research focuses on the estimation of the vehicle speed based on a cross-correlation method. A novel wireless micro-electromechanical sensor (MEMS), Smartrock is used to capture the triaxial acceleration,…

  DOI

• Compaction Prediction for Asphalt Mixtures Using Wireless Sensor and Machine Learning Algorithms

  IEEE Transactions on Intelligent Transportation Systems · 2022-11-11 · 36 citations

  articleSenior author

  Compaction is a critical step in asphalt roadway construction to determine the pavement’s quality and service life. Current field compactions are mainly based on test strips and engineers’ experiences. Such empirical-based approaches sometimes cause compaction problems especially when new materials are implemented. Intelligent compaction (IC) technology was invented to improve compaction quality. The real-time collection and visualization of the pavement responses and temperature can greatly imp…

  PublisherDOI

• Monitoring Particle Movement under Compaction using SmartRock Sensor: A Case Study of Granular Base Layer Compaction

  Transportation Geotechnics · 2022-04-04 · 34 citations

  articleSenior authorCorresponding
  PublisherDOI

• Effect of warm mix asphalt additive on the workability of asphalt mixture: From particle perspective

  Construction and Building Materials · 2022-11-05 · 30 citations

  articleCorresponding
  PublisherDOI

• Performance Characterization of Semi-Flexible Composite Mixture

  Materials · 2020 · 28 citations

  Semi-flexible composite mixture (SFCM) is developed based on a unique material design concept of pouring cement mortar into the voids formed by open graded asphalt mixture. It combines the flexibility of asphalt concrete and the stiffness of Portland cement concrete and has many advantages comparing to conventional roadway paving materials. The main objective of this paper was to evaluate the engineering properties of SFCM and assess the constructability of the SFCM. A slab SFCM sample was fabri…

  DOI

Frequent coauthors

• Hai Huang

  54 shared

• Shenghua Wu

  University of South Alabama

  32 shared

• Louay N. Mohammad

  Pennington Biomedical Research Center

  21 shared

• Weiguang Zhang

  Southeast University

  20 shared

• Balasingam Muhunthan

  20 shared

• Weiguang Zhang

  19 shared

• Shuai Yu

  Zhejiang University

  18 shared

• Xue Wang

  Pennsylvania Department of Transportation

  18 shared

Similar researchers at Pennsylvania State University

• Suresh Canagarajahh-61
• Aparna Parikhh-55
• Xinyi Luoh-39