Dr. Tan Jully is a Senior Lecturer and Course Coordinator (Chemical Engineering) at Monash University Malaysia. She obtained her first degree in Chemical Engineering and Master of Environmental Engineering from Universiti Teknologi Malaysia (UTM). Her Ph.D was obtained from Universiti Malaya, with research focuses in the development of life cycle assessment and optimization for microalgae production. Areas of her research interest include the study of different chemical and/or manufacturing productions, its process selections analysis, life cycle assessment (LCA), and life cycle optimization (LCO) which focuses on the environmental impacts (carbon footprint, water footprint, energy footprint and etc.) contributed from different process technologies. She has developed an analytic hierarchy process (AHP)-LCO framework for the sustainability assessment in order to study the different industry processes. She also explores the use of different graphical techniques for visualizing environmental impacts on supporting decisions at the enterprise level.
Dr. Tan Jully is a Senior Lecturer and Course Coordinator (Chemical Engineering) at Monash University Malaysia. She obtained her first degree in Chemical Engineering and Master of Environmental Engineering from Universiti Teknologi Malaysia (UTM). Her Ph.D was obtained from Universiti Malaya, with research focuses in the development of life cycle assessment and optimization for microalgae production. Areas of her research interest include the study of different chemical and/or manufacturing productions, its process selections analysis, life cycle assessment (LCA), and life cycle optimization (LCO) which focuses on the environmental impacts (carbon footprint, water footprint, energy footprint and etc.) contributed from different process technologies. She has developed an analytic hierarchy process (AHP)-LCO framework for the sustainability assessment in order to study the different industry processes. She also explores the use of different graphical techniques for visualizing environmental impacts on supporting decisions at the enterprise level.