Supervisor: Frank Gu, Chemical Engineering
All undergraduate students are welcome to attend a lecture titled Introduction to Dynamic Programming, by Dr. Yu Luo, a postdoctoral researcher from the University of Delaware’s Department of Chemical and Biomolecular Engineering.
Biographical Sketch
Dr. Yu Luo is a postdoctoral researcher in the Department of Chemical and Biomolecular Engineering at the University of Delaware (UD). He earned his Ph.D. in Chemical Engineering at Columbia University and B.Eng. in Chemical Engineering at the National University of Singapore.
Please join the Department of Chemical Engineering on Friday, March 15, 2019, for a lecture on systems and advanced decisions by Dr. Yu Luo, a postdoctoral researcher from the University of Delaware’s Department of Chemical and Biomolecular Engineering.
The Department of Chemical Engineering welcomes Canadian Light Source’s Senior Staff Scientist Yongfeng Hu for a seminar about hard x-ray photoemission spectroscopy. All are welcome.
Please join the Department of Chemical Engineering on Monday, March 18, for a seminar by Dr. Todd Hoare, an associate professor from McMaster University’s Department of Chemical Engineering, speaking on microgels as functional biomedical nanoparticles.
Supervisor: Zhongwei Chen, Chemical Engineering
Join us at Chemical Engineering's Capstone Design Symposium, where our graduating class will showcase their talent and skills.
The Department of Chemical Engineering welcomes Professor Xunyuan Yin from University of Alberta for a seminar about Distributed Estimation and Subsystem Decomposition – Enabling Smart Manufacturing. All are welcome.
All undergraduate Chemical Engineering students are invited to a special undergraduate lecture, Unsupervised Learning – Principal Component Analysis, by Dr. Qinqin Zhu, a research scientist from Facebook Inc.
Please join the Department of Chemical Engineering on Monday, February 25, for a guest lecture by Dr. Qinqin Zhu, a research scientist from Facebook Inc., speaking on Concurrent Monitoring of Process and Quality Faults with Canonical Correlation Analysis.