By webmaster,
GO BACK
Xiamen University - BAN Zhen Hong

BAN Zhen Hong

Associate Professor Ir. Dr.

Head of Programme, Bachelor of Chemical Engineering with Honours
Office: A4-415
Tel: +603-88006904
Email: bzhong@xmu.edu.my
Research Interests: Computational Fluid Dynamics (CFD); Chemical Process Design and Safety; Artificial Intelligence; Gas Dispersion; Source Localization
SDGs Focus
3 Good Health and Well-being 7 Affordable and Clean Energy 9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities

About Me

Assoc. Prof. Ir. Dr. Ban holds over a decade of extensive expertise in computational fluid dynamics (CFD) modeling across diverse systems, encompassing the assessment of safety measures and the pinpointing of sources in the dispersion of hazardous gases. He has integrated artificial intelligence into multiple applications within the realm of chemical engineering. His affiliation with XMUM dates back to 2016, during which time he has been instrumental in imparting specialized instruction in chemical process safety and modeling-centric subjects. Furthermore, he has successfully spearheaded various industrial research initiatives. 

  • Ph.D. (Chemical Engineering), Universiti Teknologi PETRONAS, Malaysia, 2016
  • MSc (Chemical Engineering), Universiti Sains Malaysia, Malaysia, 2011
  • BSc (Chemical Engineering), Universiti Malaysia Sabah, Malaysia, 2009

  • Board of Engineers Malaysia (BEM), Professional Engineer
  • The Institution of Engineers Malaysia (IEM), Corporate Member
  • Engineering Council UK (ECUK), Chartered Engineer
  • Institution of Chemical Engineers (IChemE), Chartered Member
  • MyCarbon Society, Director of publicity

Research Interests

Assoc. Prof. Ir. Dr. Ban's research interest lies in the confluence of Computational Fluid Dynamics (CFD), artificial intelligence (AI), optimization methods, environmental sciences, and sensor technologies. He is dedicated to advancing our understanding of gas dispersion, intelligent source localization, optimal sensor placement, and terrain influence in intricate terrains through the integration of these multidisciplinary approaches. Practical application of research findings across diverse sectors, including urban planning, industrial safety, and disaster response, with AI-optimized sensor placement enhancing early detection and intervention. The similar approach has been utilize to explore the enhancement in agriculture areas, such as fertilizer management system.

Research Project(s)

  • CFD simulation for temperature distribution in data centre (2023)
  • Bubble formation during the formers dipping process: An investigation of the impact of different former configurations (Top Glove Sdn. Bhd, 2022 - 2024)
  • Ammonia gas leak into the environment with installation of water spray as the mitigation plan (Enovate PLT, 2022)
  • Hollow fiber membrane for CO2 removal from natural gas: membranes development, modelling and up-scaling study (UTP – UTM – XMUM – Enovate, 2021 – 2022)
  • CFD simulation for ammonia vapour leak (Enovate PLT, 2021)
  • CFD simulation for ethanol spillage and safety evaluation (2020)
  • CFD simulation of airflow and heat distribution study in shooting training building. (2020)
  • CFD simulation for airflow and heat distribution for expansion of a water treatment plant. (2019)
  • HAZOP study of a methanol production via CO hydrogenation pilot plant. (2019)
  • CFD simulation of airflow and heat distribution for hotel diesel generator room and water treatment plant. (2018 - 2019)
  • Development of Intelligent Dietitian Support Apps, iDSA (National Cancer Institute, 2017 – Current)
  • CFD simulation for exhaust gas dispersion from lab (2016)
  • CFD simulation for green building, effect of toxic gas release, heating efficiency of hot gas dispersion in a silo (2015)
  • CFD simulation and modelling of physical desorption unit (2011 – 2015)
  • CFD simulation for project - “Development of Bulk CO2 Separation System using Supersonic Gas Separation Technology” (Petronas Research Sdn. Bhd., 2012 – 2014)
  • Process modelling for project - “Technology Development CO2 Capture Using CVenger Solvent” (Petronas Carigali Sdn. Bhd, 2011)
  • CFD simulation and modelling for dynamic membrane (2009 – 2011) 

Current Courses Taught

  • CME 103 Chemical Engineering Drawing 
  • CME 215 Chemical Process Safety
  • CME 317 Modelling and Simulation of Chemical Processes
  • CME 434 Computational Fluid Dynamics
  • EGE 414 Modelling and Simulation in Energy Engineering

Local Grant(s)

  • Bubble formation during the formers dipping process: An investigation of the impact of different former configurations, 2022 – 2024, Top Glove Sdn. Bhd
  • Ammonia gas leak into the environment with installation of water spray as the mitigation plan, 2022, Enovate PLT
  • CFD simulation for ammonia vapour leak, 2021, Enovate PLT
  • CFD simulation of airflow and heat distribution for hotel diesel generator room and water treatment plant, 2018 – 2019
  • Source localization for illegal plastic burning in Malaysia via CFD-ANN approach, 2018 – 2022, XMUM

Journal 

  • Michelle Ng Xin Yi, Yu Hui Ling, Zhang Xu, Ong Kheng Chong, Lang Yiming, Ten Joon Yoon, Kim Kek Seong, Parthiban Siwayanan, Thomas Choong Shean Yaw, Ban Zhen Hong* (2023). “Enhancing Smart City Environment using Machine Learning”, The Ingenieur, Volume 93, Jan – March 2023.
  • Wei Jian Tan, Zhen Hong Ban*, Bing-Hui Chen, Kek Seong Kim, Parthiban Siwayanan, Thomas S. Y. Choong, and Kok Keong Lau (2022). Enhanced Mitigation of Fire and Explosion Risks due to Hydrogen Leakage Using Targeted Nitrogen Nozzle Spray Approach. ACS Chemical Health & Safety 29 (3), 309-318. 
  • H.L.Yu, B.H.Chen, K.S.Kim, P.Siwayanan, S.Y. ThomasChoong, Z.H.Ban* (2022). Source localization for illegal plastic burning in Malaysia via CFD-ANN approach. Digital Chemical Engineering, Volume 3, June 2022, 100029. 
  • Ban Zhen Hong, Lam Weng Hoong, Noraini Mohd, Tan Peng Chee, Ten Joon Yoon, Parthiban Siwayanan (2022). Integrating Industry 4.0 Elements in Chemical Engineering Education, The Ingenieur, Volume 89, Jan – March 2022. 
  • Chiou Yi Ho, Zhen Hong Ban, Wai Han Ng, May Kay Neoh, Norshariza Jamhuri, Zuwariah Abd Rahman (2020). Feasibility study of smartphone application for self-monitoring dietary intake among cancer patients. Journal of Medical Research and Innovation, vol. 4(2), 2020. 
  • Sam Kar Yen, Lee Siong Hoong, Ban Zhen Hong* (2019). Computational fluid dynamics (CFD) modelling on effect of fume extraction. Journal of Chemical Health and Safety, vol. 26, issues 6, pages 20 – 31. 
  • Siong Hoong Lee, Thomas S. Y. Choong*, Luqman Chuah Abdullah, Mus’ab Abdul Razak & Zhen Hong Ban (2018). Experimental and CFD Modelling: Impact of the Inlet Slug Flow on the Horizontal Gas–Liquid Separator. Energies, MDPI, Open Access Journal, vol. 12(1), pages 1-32. 

  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2017). In-line Physical Desorption Unit – Part 1: Conceptual Design, and Numerical Analysis. Chemical Engineering Research and Design, vol. 117, pp. 792 – 809. 
  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2017). In-line Physical Desorption Unit – Part 2: Optimisation Analysis. Chemical Engineering Research and Design, vol. 117, pp. 810 – 830. 
  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2016). CFD modelling of most probable bubble nucleation rate from binary mixture with estimation of components’ mole fraction in critical cluster. Continuum Mechanics and Thermodynamics, vol. 28 (3), pp. 655–668. 
  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2015). Bubble Nucleation and Growth of Dissolved Gas in Solution Flowing Across a Cavitating Nozzle. Applied Mechanics and Materials, vol. 773-774, pp. 304-308.
  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2015). Modelling of Bubble Growth in Supersaturated Solution using Computational Fluid Dynamics - Population Balance Model (CFD-PBM) Approach. Defect and Diffusion Forum, vol. 362, pp. 200 – 208.
  • Z.H. Ban, K.K. Lau, and A.M. Shariff. Prediction of the bubble nucleation rate in a quasi-stable cavitating nozzle using 2D computational fluid dynamics and enhanced classical nucleation theory. Engineering Applications of Computational Fluid Mechanics, vol. 9 (1), pp. 247-258. 
  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2014). CFD Simulation for Bubble Nucleation Rate of Dissolved Gas. Journal of Applied Sciences, vol. 14, pp. 3369-3372.
  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2014). Supersaturated Gas Bubble Formation Across an Orifice. Applied Mechanics and Materials, vol. 625, pp. 562 - 565.
  • Z.H. Ban, K.K. Lau, and A.M. Shariff (2014). Physical Absorption of CO2: A Review. Advanced Materials Research, vol. 917, pp. 134 - 143.
  • A.L. Ahmad, Z.H. Ban, B.S. Ooi (2011). Computational Fluid Dynamics Modeling High Viscous Fluid in Rotating Corrugated Spacer: Shear Stress Effect. Journal Applied Science, vol. 11, pp. 3640-3644.
  • A.L. Ahmad, Z.H. Ban, B.S. Ooi (2010). A three-dimensional unsteady hydrodynamic profile of a reciprocating membrane channel. Journal of Membrane Science, vol. 365,  pp. 426–437.

Current Supervision (Postgraduate only)

  • YU Kai Xiang
    Optimisation for Fertiliser Application in Durian Farm using CFD approach
    2022 – Present
    Xiamen University Malaysia

  • Michelle NG Xin Yi
    Integration of CFD and Neural Network in Sensor Optimization and Source Localization for Ammonia Leak 
    2021 – Present
    Xiamen University Malaysia

  • TAN Wei Jian
    Investigation of Ammonia Water Evaporation Rate via Molecular Dynamics Simulation 
    2020 – Present
    Xiamen University Malaysia

  • Finalist, Anugerah Inovasi Negeri Selangor (AINS), 2022.
  • Second prize for Hari Inovasi Bahagian Sains Kesihatan Bersekutu 2019, Ministry of Health Malaysia, 2019.