PEESE M.Eng. students have been honored with prestigious awards by the Smith School of Chemical and Biomolecular Engineering, showcasing their excellence in research, innovation, and practical applications.
- Fall 2020 Outstanding M.Eng. Project Award: Shristi Varshney
- Recognized for contributions to the sustainable campus energy systems project.
- Spring 2020 Outstanding M.Eng. Project Award: Siemens Healthineers Capstone Project Team, including Alwin Thomas, Lesley Sun, Jessica Hwang, Akshit Patel, Boru Wang, Brian Davey, Venkat Akshay Chintalapati, and Yiying Sheng.
- Recognized for developing advanced machine learning algorithms to predict operator needs in analytical laboratories in collaboration with Siemens Healthineers.
- Additional Recognition: Alwin Thomas also received the Outstanding M.Eng. TA Award for 2020.
- Fall 2019 Outstanding M.Eng. Project Award: Tigran Mehrabyan
- Recognized for developing a multi-stage stochastic programming approach for pharmaceutical trial planning under uncertainty.
- Spring 2019 Outstanding M.Eng. Project Award: Qixuan (Michael) Li
- Honored for work on statistical process control and monitoring using machine learning.
- Spring 2018 Outstanding M.Eng. Project Award: Wei-Han Chen
- Recognized for work on model predictive control for building energy optimization.
- Fall 2017 Outstanding M.Eng. Project Award: Schuyler Gardner
- Honored for her project on pharmaceutical clinical trial planning.
- Spring 2017 Outstanding M.Eng. Project Award: Imran Yasin
- Recognized for his project, “Application of Data Mining Principles for Predictive Models of High Product Quality,” with applications in biopharmaceutical manufacturing.
- Spring 2017 Best M.Eng. Teaching Assistant Award: Ivy Lai Miller
- Earned the award for her exceptional performance as a TA for the ChemE 4620 senior design course.
- Fall 2016 Outstanding M.Eng. Project Award: Minhao Li
- Recognized for his innovative contributions to PEESE research.
Special Recognitions
In 2019, PEESE M.Eng. students, Haokai Huang, M.Eng. ’18, Wei-Han Chen, M.Eng ’18, Jun Yang, M.Eng. ’18 and Xiu Wang, M.Eng. ’18, were featured in the Cornell Chronicle article, “To conserve energy, AI clears up cloudy forecasts“ that highlighted their contributions to the Toboggan Lodge case study and the development of machine learning models using historical weather and climate data.
Congratulations to all PEESE M.Eng. students on their exceptional achievements and look forward to their continued success in advancing engineering excellence!
