Daniel Holland

Senior LecturerDaniel Holland

Director of Second Professional Year Studies
Internal Phone: 93785


Research Interests

The focus of my research is to provide new insight into the fundamentals of chemical processes by using the latest experimental techniques. Chemical engineering relies on simple models and heuristic equations to enable the design of processes for a diverse array of industries including, for example, petrochemicals, fertilisers, pharmaceuticals and dairy. Whilst this approach is successful for established technology, it is rarely optimal for new processes. The conventional design approach has evolved in part because instruments are normally restricted to observing what goes into and what comes out of a process; very little can be observed about what is actually happening within the process. Recently, new technologies have become available that permit us to "see inside" chemical processes. The development and use of these technologies forms the basis of my research.These new technologies are used to improve our fundamental understanding of processes and to optimise computational modelling of processes throughout the chemical industries. I am especially interested in using these technologies to study processes that require the handling of particles, however I also work on non-Newtonian, gas-liquid and liquid-liquid flows, diffusion, and mass transfer processes and modelling of chemical reactors.

Recent Publications

  • Bostock MJ., Holland DJ. and Nietlispach D. (2017) Improving resolution in multidimensional NMR using random quadrature detection with compressed sensing reconstruction. Journal of Biomolecular NMR 68(2): 67-77. http://dx.doi.org/10.1007/s10858-016-0062-9.
  • Bostock MJ., Holland DJ. and Nietlispach D. (2017) Compressed Sensing ℓ1-Norm Minimisation in Multidimensional NMR Spectroscopy. In Mobli M; Hoch JC (Ed.), Fast NMR Data Acquisition: Beyond the Fourier Transform: 267-303. http://dx.doi.org/10.1039/9781782628361-00267.
  • Boyce CM., Ozel A., Rice NP., Rubinstein GJ., Holland DJ. and Sundaresan S. (2017) Effective particle diameters for simulating fluidization of non-spherical particles: CFD-DEM models vs. MRI measurements. AIChE Journal 63(7): 2555-2568. http://dx.doi.org/10.1002/aic.15623.
  • Fabich HT., Sederman AJ. and Holland DJ. (2017) Study of bubble dynamics in gas-solid fluidized beds using ultrashort echo time (UTE) magnetic resonance imaging (MRI). Chemical Engineering Science http://dx.doi.org/10.1016/j.ces.2017.07.003.
  • Holland DJ. (2017) Magnetic resonance imaging of Fluid Flow. Christchurch, New Zealand: Fluids in New Zealand, 09 Jan 2017.