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SURF Symposium includes IE research

Photo of Emily Garcia and Jennifer Reagin
Emily Garcia (l) with IE PhD student Jennifer Reagin (r)
Photo of Xiang Feng presenting poster
Xiang Feng presents her poster
Photo of Xiang Feng, Jackie Cha & Zairelys Reyes
(l to r) Xiang Feng, Jackie Cha & Zairelys Reyes-Rivera
Undergraduates working with seven IE faculty members participated in Purdue's Summer Undergraduate Research Fellowships (SURF) Symposium on August 1.

The research topics spanned multiple engineering, science, and agricultural disciplines.

Congratulations to Emily Garcia for winning a Best Oral Presentation Award, and to Gaojian Huang for being named as the 2019 Graduate Student Mentor of the Summer.

"Emily examined CMS-based data for the state of Indiana (over two million patients) to identify risk factors for readmissions to hospitals from long term care facilities," said Paul Griffin, the St. Vincent Health Chair of Healthcare Engineering, director of the Regenstrief Center for Healthcare Engineering, and professor of Industrial Engineering. "She also built a predictive model to identify those patients most likely to have a less than 30 day readmission. This is useful for the case manager is making a discharge decision."

Students and their IE advisors were:

  • Emily Garcia (advised by Dr. Yuehwern Yih, Dr. Zachary HassDr. Paul Griffin) - Reducing Preventable Hospital Admissions through Improved Discharge Process
  • Xiang Feng (advised by Dr. Denny Yu) - Predicting Fatigue: Sensing Upper Body Muscle Activity in Robotic Surgeons
  • Zairelys Reyes-Rivera (advised by Dr. Denny Yu) - Prediction of Injuries in an Airline Maintenance Environment Using Ergonomic Assessment Tools
  • Alec Gonzales (advised by Dr. Brandon Pitts) - Augmented Reality in Semi-Autonomous Driving: The Effect of Warning Signal Format and Perceived Urgency on Takeover Performance
  • Xiaotian Wang (advised by Dr. Harsha Honnappa) - Simulation Optimization of Non-Stationary Reflected Diffusions
  • Valentina Chacon Buitrago (advised by Dr. Mario Ventresca) - The Role of Dataset preparation for Convolutional Neural Networks
  • Joshua Stalbaum (advised by Dr. Srinivasan Chandrasekar) - Surface Metrology: Comparing Traditional and Novel Methods