DR. HANEE FARZANA BINTI HIZADDIN
Department of Chemical Engineering
Faculty of Engineering
hanee@um.edu.myView CV | |
Publons | |
Scopus Link | |
Biography | |
Dr. Hanee Farzana is currently a Senior Lecturer in the Department of Chemical Engineering, Universiti Malaya since 2016. Dr. Hanee first join UM in 2012 as an Academic Fellow. Prior to that, she worked as a Safety and Risk Engineer with ExxonMobil Malaysia from 2009 to 2011. She resigned to pursue her studies and a career in academia. Her primary research interests are design and development of novel solvents (e.g., ionic liquid and deep eutectic solvents) for various applications in chemical processes, particularly in the separation of fluid mixtures (liquid-liquid and gas-liquid mixtures), with a special interest on CO2 capture and utilization. Dr. Hanee is currently working on CO2 capture and utilization technologies using these emerging solvents to lessen dependence on the use of commercial solvents towards reducing the CO2 emission and the energy penalty that comes with the conventional CO2 capture technologies. Dr. Hanee is also passionate about engineering education and Outcome-Based Education (OBE) implementation. She was the Programme Coordinator for the Bachelor of Chemical Engineering degree program from 2019 to 2021 and was in charge of coordinating accreditation matters related to the program. |
Publication
Finance
Project Title | Progress | Status |
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Extraction of valuable chemicals from agricultural crop waste using deep eutectic solvents |
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on going |
Thermodynamic Studies To Elucidate The Kinetics And Mechanism Of Oil Extraction From Rubber Seeds Using Ionic Liquids Analogs |
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end |
Development Of Non-conventional Solvents For The Extraction Of Phenolic Compounds From Biomass Pyrolysis Products |
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end |
This information is generated from Research Grant Management System |
Enhanced large-scale production of recombinant phytase in E. coli DH5 a: Medium components optimization and thermodynamic studies
A Stacked Ensemble Deep Learning Approach for Imbalanced Multi-Class Water Quality Index Prediction
Bayesian networks based laboratory retrofitting towards inherent safety: A risk-based implementation framework
Artificial intelligence-assisted air quality monitoring for smart city management