Funded by Dilip and Manjusha Bhattacharya
Eligibility
Student groups enrolled in the Faculty of Engineering’s fourth-year Capstone Design project. The award will go to the Chemical Engineering project that, in the opinion of the judges, demonstrates an innovative and practical design solution to a problem, preferably made ready for immediate application, having large potential long-term benefit to society.
Value
Dilip and Manjusha Bhattacharya will provide one award valued at $3,000. The total award funds will be divided equally among the winning team members.
Selection process
- Final selection will be made by a panel of faculty members of the Department of Chemical Engineering and the Chemical Engineering Capstone Coordinator.
- The award will be announced at the end of the 4B term, after final report grading. Â
About the donors
Established by Dilip and Manjusha Bhattacharya, the Bhattacharya Capstone Award in Chemical Engineering was established to foster innovative thinking and recognize the efforts of hard-working and talented Engineering students. Dilip Bhattacharya is a proud À¶Ý®ÊÓÆµ Engineering alumnus. He holds an MASC ’68 and a PhD ’73 from the Department of Chemical Engineering.Â
Past Recipients
- Real-Time Dosimetric Patch for Safer Radiation Therapy (2025)
- Pads to Purpose: Recycling and Repurposing of Used Menstrual Pads (2024)
- Radioactive Species Capture Via Bubble Column for Nuclear Power Plant Decommissioning (2023)
- Recycling Multilayer Film via Solvent Extraction (2022)
- Design of a Novel Wood-Plastic Composite for Food Distribution Applications (2021)
- Simulations and Feasibility Studies For Boiler Feedwater Management (2020)
- Optimization and Design of an Automotive Manufacturer’s Energy System Using Power-to-Gas Technology (2019)
- Purge Water Selection and Process Optimization (2018)
- Power-to-Gas Implementation for a Petcoke Polygeneration System in Sarnia (2017)
- ​Ammonia Abatement During Start-up and Shutdown of a Urea Plant for CF Industries (2016)
- Design of History-Matching and Forecasting Analytical Tool for SAGDÂ (2015)