Dr Jano van Hemert (MSc 1998, PhD 2002; Leiden University, The Netherlands) is the Research Director of Optos plc (a Nikon company). Optos is a medical technology company with the aim to become the retinal imaging company globally. His main area of research is in clinical applications of retinal imaging technology. He is the author of over 100 publications and has filed several patents. He has commercialised two medical software devices. Recently, he has led the development of a novel diagnostic medical device for measuring functional vision loss in partnership with the NHS and two UK universities which is now undergoing clinical trials; this development was co-funded by Innovate UK.
In 2013, he was elevated to Senior Member of the IEEE. Since 2010, he is an Honorary Fellow of the University of Edinburgh in recognition of his leadership in the research programme of the UK National e-Science Centre supported by a prestigious EPSRC Platform Grant. Before that he held research associate and fellow posts at the National Research Institute for Mathematics and Computer Science (CWI) of the Netherlands, The Netherlands Organisation for Scientific Research (NWO) and the Vienna University of Technology. From 2005 until 2011 he was a visiting researcher at the Human Genetics Unit in Edinburgh of the UK's Medical Research Council.
M. Sagong, J. van Hemert, L.C. Olmos de Koo, C. Barnett, and S.R. Sadda. Assessment of accuracy
and precision of quantification of ultra-widefield images. Ophthalmology, 122(4), 2015.
D.E. Croft, J. van Hemert, C.C. Wykoff, D. Clifton, M. Verhoek, A. Fleming, and D.M. Brown. Precise
montaging and metric quantification of retinal surface area from ultra-widefield fundus photography
and fluorescein angiography. Ophthalmic Surg Lasers Imaging Retina, 45(4):312–317, Jul 2014.
J.I. van Hemert, J. Koetsier, L. Torterolo, I. Porro, M. Melato, R. Barbera. Generating web-based user interfaces for computational science, In Concurrency and Computation: Practice and Experience, Wiley, volume 23, 2011.
L. Han, J.I. van Hemert, R.A. Baldock. Automatically Identifying and Annotating Mouse Embryo Gene Expression Patterns, In Bioinformatics, volume 27, 2011.
R.R. Kitchen, V.S. Sabine, A.H. Sims, E.J. Macaskill, L. Renshaw, J.S. Thomas, J.I. van Hemert, J.M. Dixon and J.M.S. Bartlett. Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles, 11(134), 2010.
D. Rodriguez Gonzalez, T. Carpenter, J.I. van Hemert, and J. Wardlaw. An open source toolkit for medical imaging de-identification. European Radiology, 20(8):1896–1904, 2010.
J. Armstrong and J. van Hemert. Towards a virtual fly brain. Philosophical Transactions A, 367(1896):2387–2397, 2009.
J.I. van Hemert. Evolving combinatorial problem instances that are difficult to solve. Evolutionary Computation, 14(4):433–462, 2006.
B.G.W. Craenen, A.E. Eiben, and J.I. van Hemert. Comparing evolutionary algorithms on binary constraint satisfaction problems. IEEE Transactions on Evolutionary Computation, 7(5):424–444, 2003.
I. Juhos and J.I. van Hemert. Increasing the efficiency of graph colouring algorithms with a representation based on vector operations. Journal of Software, 1(2):24–33, 2006.
J.I. van Hemert and T. Bäck. Robust parameter settings for variation operators by measuring the resampling ratio: A study on binary constraint satisfaction problems. Journal of Heuristics, 10(6):629–640, 2004.