ISE Collaborative Research Seed Funding (CRSF) Program

ISE Collaborative Research Seed Funding (CRSF) Program

Program Objective

The ISE Department seeks to foster intradisciplinary research among Department faculty and
students by providing seed funding for collaborative pilot/preliminary research projects. The
objective of this program is to foster joint research by faculty working in various subdisciplines of
ISE in order to support larger-scale proposal development for Federal funding agencies.

Crsf awards

2021 CRSF Awards
  • A Dynamic Disruption Prediction System for Transportation Networks
    • PI: Mostafa Reisi Gahrooei
    • Multimodal Data Fusion for Systems Improvement: A Review
      • Authors: Mostafa Reisi Gahrooei, Gaw, Nathan, Safoora Yousefi
    • Dynamic unsupervised classification of driver’s style based on vehicle sensing data
      • Authors: Mostafa Reisi Gahrooei, Xiang YG
  • Active Learning Interactions in Asynchronous Video Lectures for Generation Z Engineering Students
    • PI: Katie Basinger
    • Creating ACTIVE Learning in an Online Environment
      • Authors: Basinger, K., Alvarado, D., Ortega, A , Buzard, B, Hartless, D, Lahijanian, B, and Alvarado, M
  • Data-Driven Asynchronous Video Design for Engaged Learning of Generation Z Engineering Students
    • PI: Katie Basinger
    • Video Length Preferences for Gen-Z Engineering Students in a Flipped Classroom
      • Authors: Alvarado, M. Basinger, K., Lahijanian B, Karaca,M and Alvarado, D.

 

2020 CRSF Awards

 

2019 CRSF Awards

 

PI: Michelle Alvardo
PI: Katie Basinger
  • Creating ACTIVE Learning in an Online Environment
    • Authors: Basinger, K., Alvarado, D., Ortega, A , Buzard, B, Hartless, D, Lahijanian, B, and Alvarado, M
  • Video Length Preferences for Gen-Z Engineering Students in a Flipped Classroom
    • Authors: Alvarado, M. Basinger, K., Lahijanian B, Karaca,M and Alvarado, D.
  • Active Learning Interactions in Asynchronous Video Lectures for Generation Z Engineering Students

 

PI: Mostafa Reisi Gahrooei
  • Multimodal Data Fusion for Systems Improvement: A Review
    • Authors:Mostafa Reisi Gahrooei, Gaw, Nathan, Safoora Yousefi
  • Dynamic unsupervised classification of driver’s style based on vehicle sensing data
    • Authors: Mostafa Reisi Gahrooei, Xiang YG
  • A Dynamic Disruption Prediction System for Transportation Networks

 

PI: Elif Akcali

 

 

PI: Hongcheng Liu

 

PI: Boyi Hu

 

PI: Elif Akcali

 

PI: Hongcheng Liu

 

PI: Boyi Hu