Dr Ahmet Orun

Job: Senior Lecturer (External Associate Professor)

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Research group(s): Centre for Computational Intelligence

Address: De Montfort University, The Gateway, Leicester, LE1 9BH UK

T: 0116 366 4408

E: aorun@dmu.ac.uk

W: http://www.cci.dmu.ac.uk

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Publications and outputs

Supervised laser-speckle image sampling of skin tissue to detect very early stage of diabetes by its effects on skin subcellular properties
Supervised laser-speckle image sampling of skin tissue to detect very early stage of diabetes by its effects on skin subcellular properties Orun, A.; Critien, L.; Carter, J.; Stacey, M. This paper investigates the effectiveness of a multi-disciplinary system based on laser speckle image sampling, image texture analysis and Artificial intelligence applied to the early detection of diabetes disease. With the latest developments in laser-optics and laser speckle imaging technologies, it may be possible to optimise laser parameters such as its wavelength, energy level and image texture measures to achieve this goal. The new approach is potentially more effective than the classical skin glucose level observation because of its optimised combination of laser physics and AI techniques, and additionally it allows non-expert individuals to perform more frequent skin tissue tests for an early detection of diabetes. open access article Orun, A., Critien, L.V., Carter, J. and Stacey, M. (2023) Supervised Laser-speckle Image Sampling of Skin Tissue to Detect Very Early Stage of Diabetes by Its Effects on Skin Subcellular Properties. Modern Intelligent Times,
The Characterization of photonic quantum wave-particle duality fluctuation phenomenon by Bayesian inference (AI)
The Characterization of photonic quantum wave-particle duality fluctuation phenomenon by Bayesian inference (AI) Orun, A. Abstract: The magnitudes of atomic exchange [1] activities between the chemical substances (by interactions at interferometer’s test chamber) had already been observed earlier by quantization of interferometric (Mach-Zehnder) quantum eraser pattern’s motions caused by the photonic wave-particle duality fluctuations [2][3]. In our further experiments here, such fluctuations have been characterised by use of Bayesian inference technique (AI) which was capable of revealing the hidden information/links in the wave-particle duality fluctuation phenomenon, as normally not visible to human observer in a complex time-domain sequence of measurements. Within this work, the constructive role of AI techniques [4] (Bayesian Networks [5] in particular) has been emphasised which would lead to more effective analysis of a quantum phenomenon in the future. Orun, A. (2023) The Characterization of photonic quantum wave-particle duality fluctuation phenomenon by Bayesian inference (AI). KOBIT7 - Quantum Optics and Information Meeting, University of Eskisehir, Turkey, 2-3 February 2023
Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC) method
Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC) method Orun, A.; Kurugollu, F. The recent pandemic showed that the current global research strategies on vaccine development necessitates more optimized supplementary techniques to observe instant progressive vaccines’ subtle effects on human metabolism, for better evolutionary assessments. To fill this gap, we have followed a multi-disciplinary approach exploiting AI, laser-optics, and a specific imaging method. The proposed technique is able to make progressive observations on Covid-19 Astra Zeneca vaccination effects on skin cellular network by use of the well-established technique - Intelligent Laser Speckle Classification (ILSC), as Covid-19 is a skin-affecting systemic disease. The method also managed to distinguish between three different subject groups via their laser speckle skin image samplings, grouped as: early-vaccinated, late-vaccinated and non-vaccinated participants. The results have proven that the ILSC technique, in association with the parametrically optimised Bayesian network, is capable of classifying hidden skin changes of vaccinated and non-vaccinated individuals up to 90% accuracy and is also capable of detecting instant (real-time) progressive developments pertaining to skin cellular properties. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Orun, A. and Kurugollu, F. (2023) Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC) method. Journal of Digital Imaging,
Inter-substances “Natural Quantum Communication” investigation by atomic exchange observation with photonic wave-particle duality quantization
Inter-substances “Natural Quantum Communication” investigation by atomic exchange observation with photonic wave-particle duality quantization Orun, A. We have managed to observe the magnitudes of atomic exchange [3] activities between the chemical substances by quantization of interferometric (Mach-Zehnder) quantum eraser pattern’s motions caused by photonic wave-particle duality shifting [1]. Such characteristic shiftings substantially support our Natural Quantum Communication theory which indicates that the Interferometer’s photons attempt to access or gain complementary information provided by “naturally communicated” substances in the chemical reaction tube located along the lower arm of interferometer, which consequently exhibit characteristic wave-particle duality shifting [2]. The proposed theory may explain, how medications provide curing effect on "diseased organic tissues" via transmitting a complementary quantum information that is normally missing in the receiver domains, or natural quantum communication between vaccine and immune system. Furthermore, in the future some related advance technique would be expected to replace natural substance style supplements (e.g. human cells’ need of Oxygen) with only (Oxygen atom’s) quantum information provision instead. Orun, A. (2021) Inter-substances “Natural Quantum Communication” investigation by atomic exchange observation with photonic wave-particle duality quantization. KOBIT5- Quantum Optics and Information conference, Bilkent University,Turkey, April 2021.
Detection of sub-cellular changes by use of λ=6.5 micron laser light interaction in association with Intelligent Laser Speckle Classification (ILSC) technique
Detection of sub-cellular changes by use of λ=6.5 micron laser light interaction in association with Intelligent Laser Speckle Classification (ILSC) technique Orun, A. The study is based on a principle of laser physics so that a (coherent) laser light whose wavelength is shorter than a feature under inspection (like sub-cellular component) can interact with such specific feature (or textural features) and generates laser speckle patterns which can characterize those specific features. By the method we have managed to detect differences at sub-cellular scales such as genetic modification, cellular shape deformation, etc. with 87% accuracy. In this study red laser is used whose wavelength (6.5 microns) is shorter than a plant cell (~60 microns) that is suitable to interact with sub-cellular features. The work is assumed to be an initial stage of further application on human cellular changes observation that would be utilized for development of more accurate methods such as better drug delivery assessments, systemic diseases early diagnosis, etc. Orun, A. (2021) Detection of sub-cellular changes by use of λ=6.5 micron laser light interaction in association with Intelligent Laser Speckle Classification (ILSC) technique. arXiv, Cornell University, USA
Low-level cognitive skill transfer between two individuals' minds via computer game-based framework
Low-level cognitive skill transfer between two individuals' minds via computer game-based framework Orun, A. The novel technique introduced here aims to accomplish the first stage of transferring low-level cognitive skills between two individuals (e.g. from expert to learner) to ease the consecutive higher level declarative learning process for the target "learner" individual in a game environment. Such low-level cognitive skill is associated with the procedural knowledge and established at low-level of mind which can be unveiled and transferred by only a novel technique (rather than by a traditional educational environment ) like a highly interactive computer game domain in which a user exposes his/her unconscious mind behaviors via the game-hero non-deliberately during the game sessions. The cognitive data exposed by the game-hero would be recorded, and then be modelled by the artificial intelligence technique like Bayesian networks for an early stage of cognitive skill transfer and the cognitive stimuli are also generated to be used as game agents to train the learner. Orun, A. (2021) Low-level cognitive skill transfer between two individuals' minds via computer game-based framework. arXiv, Cornell University, USA
An investigation on a quantum communication phenomenon between sub-atomic properties of substances by Quantum eraser pattern quantification
An investigation on a quantum communication phenomenon between sub-atomic properties of substances by Quantum eraser pattern quantification Orun, A.; Smith, Geoff The proposed novel idea is concerned with the investigation on a probability of sub-atomic quantum communication between the chemical substances by use of “interferometric Quantum eraser” pattern analysis, which would be the first step towards the further comprehensive study on a similar natural communications between the medications and diseased organic tissues. The hypothesis is based on the idea that, sub-atomic particles like photons attempt to access or gain complementary information causing their “wave-particle duality” shifting which is used to observe their time-sequenced activities. Such information would probably be provided by sub-atomic quantum communication action demonstrated between the substances in a chemical reaction. Similarly, the medications may have curing effects on a diseased organic tissue after such “natural” communication, by which a complementary information is transferred from the sub-atomic properties of chemical substance to the diseased organic tissue at same level for the treatment. The file attached to this record is the author's final peer reviewed version. Orun, A.B. and Smith, G. (2022) An investigation on a quantum communication phenomenon between sub-atomic properties of substances by Quantum eraser pattern quantification. Optical Engineering, 59 (3), 033102
The use of through vial impedance spectroscopy (TVIS) for determination of ice nucleation, solidification end point, and mannitol crystallization during freezing and re-heating
The use of through vial impedance spectroscopy (TVIS) for determination of ice nucleation, solidification end point, and mannitol crystallization during freezing and re-heating Ogugua, Longinus; Smith, Geoff; Orun, A. This is a study of the freezing/reheating behavior of aqueous solutions of mannitol with respect to lyophilization process development given the prevalent use of the excipient. Here, through-vial impedance spectroscopy (TVIS) was used to study the thermophysical kinetics of an aqueous solution of 5%w/v mannitol during a freezing and re-heating phase of a freeze-drying cycle. Temperature calibration of the TVIS parameter FPEAK enabled the determination of the ice nucleation temperature Tn at −13 oC while the ice solidification end point was observed based on the time profile of C' (0.2MHz), i.e. the real part capacitance at 0.2 MHz. A time difference of 20 min between the onset and end point then defines the ice solidification time ti. A later step in C' (0.2MHz) indicated that mannitol crystallized at -32 oC and 20 minutes from end of ice solidification. Upon reheating at 0.2 oC/min, a large increase in C' (0.2MHz) was seen at −32 oC indicating the onset of melting of mannitol crystals which then lasted 20 min. Ogugua, L., Smith, G., Orun, A. (2019) The use of through vial impedance spectroscopy (TVIS) for determination of ice nucleation, solidification end point, and mannitol crystallization during freezing and re-heating. APS PharmSci Conference, Greenwich, UK, September 2019.
Application of through vial impedance spectroscopy (TVIS) for the determination of ice nucleation, solidification endpoint, and mannitol crystallization and melt-back temperature during freezing and annealing
Application of through vial impedance spectroscopy (TVIS) for the determination of ice nucleation, solidification endpoint, and mannitol crystallization and melt-back temperature during freezing and annealing Ogugua, Longinus; Smith, Geoff; Orun, A. Studies of the freezing behavior of aqueous solutions of mannitol are highly relevant to lyophilization process development given the prevalent use of this excipient. Here, through-vial impedance spectroscopy (TVIS) was used to study the behaviour of an aqueous solution of 5%w/v mannitol during a freezing and re-heating cycle. Temperature calibration of the TVIS parameter FPEAK enabled the determination of the ice nucleation temperature Tn at −13 oC while the ice solidification end point was observed based on the time profile of C' (0.2MHz), i.e. the real part capacitance at 0.2 MHz. A time difference of 20 min between the onset and end point then defines the ice solidification time ti. A later step in C^' (0.2MHz) indicated that mannitol crystallized at -32 oC and 20 minutes from end of ice solidification. Upon reheating at 0.2 oC/min, a large increase in C' (0.2MHz) was seen at −32 oC indicating the onset of melting of mannitol crystals which then lasted 20 min. Ogugua, L., Smith, G. and Orun, A. (2019) Application of through vial impedance spectroscopy (TVIS) for the determination of ice nucleation, solidification endpoint, and mannitol crystallization and melt-back temperature during freezing and annealing, .Poster presentation at ISL-FD 9th International Conference , Ghent, Belgium, 2-6th September 2019.
Quantum Eraser Set configuration
Quantum Eraser Set configuration Orun, A. Our modified quantum eraser (QE) set is used for the observation of sub-atomic communication between the chemical substances in a test tube reaction. The quantized QE pattern changes provide some quantum level information which would be used for further drug-biological tissue interaction analysis Orun, Ahmet; Smith, Geoffrey (2019): Quantum eraser set. De Montfort University. Figure. https://doi.org/10.21253/DMU.7965230.v1

View a full listing of Ahmet Orun's publications and outputs.

Key research outputs

2013-2014 Development of non-invasive diagnostic tools for early signs of diseases by use of comprehensive laser speckle imaging methods; Full funded by Proof-of-principle Studies (HEIF) Programm (Advertised in Photonics USA News Magazine, http://www.photonics.com/Article.aspx?AID=56111

Related Patent: TR9600736(A1)

2010-2012 Computational modelling and predicting the system behaviours by Bayesian networks (Internal project); The project aims to exploit inference techniques like bayesian networks to make a human behaviour analysis; (Support of collaboration was given by University of Birmingham- School of Psychology.

Research interests/expertise

Computer/console Game based user identity analysis
Bayesian network applications (biometrics, cognitive psychology, bio-health, genetics
Laser baser optical skin analysis
Photogrammetric vision systems & Industrial inspection
Remote Sensing & Satellite data analysis
Quantum physics and its applications in pharmaceuticals.
Quantum optics, Quantum computing

Areas of teaching

Computer vision (GYTE Institute, 1999)
Bioinformatics
Image Processing
Matlab basics
Fuzzy logic
Image analysis of Pharmaceuticals
C-I, II Programming in Cyber Security

Qualifications

PhD in Computer Vision, MPhil (Satelllite Data Analysis)

Courses taught

CTEC0704 - Computing Skills & Research (Lab)
CTEC1911-1920
IMAT3406 - Fuzzy Logic (lab)
IMAT3451- Final year project supervisions (computing, Game projects)
IMAT2902 Computer Graphics
PHAR5350 - Bioinformatics

Honours and awards

TUBITAK-MRC (Military Command & Control Information System) Best Project Annual Award

Membership of professional associations and societies

Photogrammetric Society, London (1988-1994)
Oxford Brookes Alumni Association (1993-1994)
IEEE Computer Society (2000-2005)
Vision Group (Birmingham University, School of Computer Science)
Inclusion into "Marquis Who's Who in the World" (2005 - 2015).
Inclusion into "Marquis Who's Who in Science and Engineering (2006 - 2007).
Position in NATO Electronic Warfare Study Group (1998-1999)

Professional licences and certificates

Laser Health & safety
NATO , EW Study Group Clearance

Projects

2013-2014 Proj. Developer - Development of non-invasive diagnostic tools for early signs of diseases by use of comprehensive laser speckle imaging methods. Full funded by Proof-of-principle Studies (HEIF) Programme

2013 Researcher -Skin analysis and modelling for early detection of skin cancer melanoma by use of multi-spectral images and light interaction analysis. (De Montfort University, RIF)

2010-2012 Computational modelling and predicting the system behaviours by Bayesian networks (Internal project)

2001- 2003 Researcher- University of Birmingham, School of Computer Sc. Experimental Research on skin cancer Melanoma by computer modelling, Image analysis.

2000-2001 Researcher - University of Reading, Department of Computer Science, Real-time vehicle identification system development software/hardware management, software development, collaboration with Reading Borough Council & CRS Ltd.

1991- 2000 Project Manager - TUBITAK, Marmara Research Centre Information Technologies Research Institute, Intelligent Systems Unit, Gebze – Kocaeli, Turkey, Subject : Command and Control Systems, research & development of computer vision systems

Recent research outputs

Seker, H., V. Uslan, A.B. Orun, E. Goodyer and G. Smith, “Prediction of skin ages by means of multi-spectral light sources”, 36th Annual International IEEE EMBS Conference., Chicago 26-30 August, 2014 , USA.
Ustebay, S., A.B. Orun, H. Seker and A.Sertbas.Investigating the amigdala-thread effects on cognitive learning via graphical domains and Bayesian networks. AIHLS-2014 Conference, Kusadasi. Turkey, October 19-22, 2014
Orun, A.B., Intelligent Laser Speckle Classification, Wikipedia, http://en.wikipedia.org/wiki/Intelligent_laser_speckle_classification

Consultancy work

Project Assessment Referee for EPSRC (Engineering and Physical Science Research Council,UK), February 2007
Consultancy for PCI image analysis Software package (SiliconGraphics Representative of Turkey) Informatic Co

Current research students

-Nithindharan Ravichandran MSc in Cryptography Algorithms

-Peter Irigbhogbe MSc in Human-Remote Cognitive Data collection for intruder behaviour analysis

-Stephen Paul - MSc in Dynamic web content for cognitive human-machine interaction

-Cedric Carteron - MSc. in Computer Vision by mobile devices

-Luke Vella Critien - MSc. in Artificial Intelligence & Data Mining

Externally funded research grants information

2013-2014 (Proof-of-principle Studies (HEIF) Development of non-invasive diagnostic tools for early signs of diseases by use of comprehensive laser speckle imaging methods, Full funded (£25K)

Published patents

1. Object type determination by the laser interactive photogrammetrical technique. (Pat. No: TR9600736(A1))

2. Camera resolution enhancement in artificial way for the stationary scenes (Pat. No: TR 1996-1038B)

3. Laser-optical smoke and gas detector (Pat.No : TR9900544 )

Professional esteem indicators

I am the "Orun & Natarajan Satellite Sensor Model" developer. Nowadays most commercial products use a sensor model are based on this work. Publication : “A Modified bundle adjustment software for SPOT imagery and photography : A tradeoff”, Photogrammetric Engineering & Remote Sensing, December 1994. (References : KOMPSAT-1, SPOT-DEM, SPOT-pseudo, Stereo,Sensor model, ) (The sensor model .developed has been used for the satellites; SPOT, KOMPSAT-1, IKONOS) (the paper has over 60 citations)
Inventor of 3 patents
Inclusion into "Marquis Who's Who in the World" (2005 - 2015).
Inclusion into "Marquis Who's Who in Science and Engineering (2006 - 2007).