Events related to Department of Chemical & Biological Engineering
Department of Chemical and Biological Engineering (CBE)
PhD Thesis Presentation
- Model-Based Design and Control of Directed Self-Assembly of Colloidal Particles and Protein Crystallization
PhD Thesis Presentation
- Advanced Electrocatalysts for Nitrate Reduction Reaction
PhD Thesis Presentation
- Catalyst Design and Mechanistic Studies of the Electrochemical CO2 Reduction Reaction to Hydrocarbons and Alcohols
PhD Thesis Presentation
- Development of Advanced Materials for High-Energy Lithium-Based Batteries
PhD Thesis Presentation
- Synthesis of Novel Functional Materials for Biomedical Applications
MPhil Thesis Presentation
- Rational Design of Cathode Catalysts for Proton Exchange Membrane Fuel Cells
PhD Thesis Presentation
- Engineering Small Molecule Biosensors with Nucleic Acid Circuits and Computer Simulations
PhD Thesis Presentation
- Integration of Membrane Emulsification and Solution Cooling Crystallization
PhD Thesis Presentation
- Integrated Nucleic Acid Detection Systems for Point-of-Care Diagnostics
PhD Thesis Presentation
- Development of Soft Biopotential Sensors for Electrocardiogram and Electroencephalogram Systems
PhD Thesis Presentation
- Engineered Microvasculature for Vascularized Cerebral Organoid On-Chip
Guest Seminar
- Nanoscale Biochip for Single Cell Delivery and Analysis
MPhil Thesis Presentation
- System Development of Brain Biopsy Needle for Real-time Cancer and Blood Sensing with Spectroscopic Approach
MPhil Thesis Presentation
- Controlling Macromolecular Topologies via Inducible Protein/Protein Conjugation
PhD Thesis Presentation
- DFT- and Machine Learning-guided Design of Photocatalysts for Enhanced Singlet Oxygen Generation
MPhil Thesis Presentation
- Development of Metal-Supported Catalysts for Graphene Production from Spent Tea Grounds
MPhil Thesis Presentation
- Deep Learning Enables Smartphone-based Quantitative and Label-Free Imaging for Hematological Analysis
PhD Thesis Presentation
- Additive Manufacturing of Soft Materials
MPhil Thesis Presentation
- Evaluating Patient Prognosis through Machine Learning and Multi-omics Integration in Breast Cancer