Role
Dr Martin Bencsik is Module Leader for the following undergraduate modules:
- Forensic Databases and Biometrics
- MSci Final Year Project
He also conducts research in automated Beehive condition monitoring, and supervises postgraduate students.
Career overview
Dr Bencsik completed his PhD in M.R.I. at the University of Nottingham. Following this he held two post-doctoral positions in M.R.I. at the University of Nottingham. He started a lectureship at NTU in 2003 and became professor in 2023.
He gradually shifted his research interests, fifteen years ago , from MRI to beehive condition monitoring, a scientific field in which he pioneered the use of accelerometers in 2011.
Research areas
Dr Bencsik has published material on the following:
- M.R.I. of fluid flow in porous media
- M.R.I. of fluid pressure
- The physiological effects of M.R.I pulsed field gradients
- New application of unilateral NMR instruments
- The design and testing of various M.R.I. contrast agents
- The monitoring of reed beds with N.M.R.
- The condition monitoring of honey bee hives using the time course of pulsed vibrations produced by individual bees.
- The automated prediction of honeybee colony swarming
- The interpretation of queen bee 'tooting' and 'quacking'
- Quantitative assessments of the honeybee startle response
- Machine learning assisted gait analysis
- The identification of wolves from their howling
- The discrimination of human dried blood droplets
Opportunities to carry out postgraduate research towards an MPhil/PhD exist and further information may be obtained from the NTU Doctoral School.
External activity
Pr Bencsik is involved in outreach activities in primary and secondary schools and presents seminars and talks.
Pr Bencsik has contributed extensively to large scale artistic work designed by Nottingham artist Wolfgang Buttress with whom he still presently enjoys professional collaborations.
Publications
Numerical classification of curvilinear structures for the identification of pistol barrels. Bolton-King RS, Bencsik M, Evans P, Smith CL, Allsop DF, Painter JD and Cranton WM, Forensic Science International, 2012, 1-3, 197-209
Reducing peripheral nerve stimulation due to gradient switching using an additional uniform field coil. Hidalgo-Tobon SS, Bencsik M and Bowtell R, Magnetic Resonance in Medicine, 2011, 66 (5), 1498-1509
Identification of the honey bee swarming process by analysing the time course of hive vibrations. Bencsik M, Bencsik J, Baxter M, Lucian A, Romieu J and Millet M, Computers and Electronics in Agriculture, 2011, 76 (1), 44-50
Towards MRI microarrays. Hall A, Mundell VJ, Blanco-Andujar C, Bencsik M, McHale G, Newton, MI and Cave GWJ, Chemical Communications, 2010, 46 (14), 2420-2422
Artificial exosomes as tools for basic and clinical immunology. De la Pena H, Madrigal JA, Rusakiewicz S, Bencsik M, Cave GWV, Selman A, Rees RC, Travers PJ and Dodi IA, Journal of Immunological Methods, 2009, 344 (2), 121-132
Quantitative NMR monitoring of liquid ingress into repellent heterogeneous layered fabrics. Bencsik M, Adriaensen H, Brewer S and McHale G, Journal of Magnetic Resonance, 2008, 193 (1), 32-36
Robust spatially resolved pressure measurements using Mri with novel buyoant advection-free preparations of stable microbubbles in polysaccharide gels. Bencsik M, Morris RH, Nestle N, Galvosas P, Fairhurst D, Vangala A, Perrie Y and McHale G, Journal of Magnetic Resonance, 2008, 193 (2), 159-16
Direct measurement of porous media local hydrodynamical permeability using gas MRI. Bencsik M and Ramanathan C, Magnetic Resonance Imaging, 2001, 19, 379-383
Press expertise
- Magnetic Resonance Imaging (MRI)
- Nuclear Magnetic Resonance (NMR)
- Data mining
- Spectral analysis
- Machine learning
- Signal processing
- Biometrics
- Honeybee
- Bee
- Non-invasive condition monitoring
- Accelerometers, vibrometry
- Science for art
- Beekeeping
- Varroa
- Nuclear waste
- Radiation in the environment