Dr Ioannis Kypraios

Dr. Kypraios has over 18 years of experience in conducting scientific research in Computational Intelligence (Machine Learning(ML)/Artificial Intelligence(AI)) and Embedded Computing and over 8 years researching in the area of Healthcare Technologies with cross-discipline work at Neuroinformatics. From 2008-2009 he was a full-time Research Fellow at University of Sussex. In 2010, he became a visiting Senior Research Scientist at MMLAB of the University of Gent in Belgium. In January 2011, he became Adjunct Senior Lecturer at the Department of Engineering and Informatics, ICTM (assoc. London South Bank University), London, and in April 2012 he joined APEM’s Computing Labs as Senior and then Principal (Head) Computing Scientist at Begbroke Science Park of University of Oxford. In March 2014, Dr. Kypraios moved to Industry working as Senior Research Scientist and Project Leader at Continental ADAS SV Systems in East Sussex. In December 2015, he became Senior Research Scientist at FotoNation (Tessera Technologies Group/xPeri). In November 2016, he received a 6-months Industry Fund by FLIR Intelligent Systems. In September 2017, Dr Kypraios joined Anglia Ruskin University as Senior Lecturer Networking and Course Leader for the BSc(Hons) in Software Development. Then, in November 2020, Dr. Kypraios joined De Montfort University as an Associate Professor in Games and Artificial Intelligence in the School of Computer Science and Informatics.

Dr. Kypraios is the author of over 35 scientific articles in peer-reviewed International conferences and journals, including IEEE Proceedings, EURASIP, Optical Society of America Applied Optics Journal and SPRINGER Informatics and Multimedia Special Series, over twenty Technical Reports, two Patents and he has presented his research results at several public exhibitions and invited seminars including IET Special Seminar Series. In February 2013 his book “Advances in Object Recognition Systems” by Intech featured in a University of Oxford e-news page. Previously, he has organised and chaired a special session in “Advances in Image Processing” hosted by the Massachusetts Institute of Technology, USA. In February 2012, Dr. Kypraios was appointed an IEEE Computational Intelligence Society (CIS) GOLD Subcommittee Member. In August 2012, he presented his work in human synthetic movement tracking for an international symposium sponsored by the Russian Academy of Sciences. In August 2013, Dr. Kypraios presented his work in cognitive hybrid robust object recognition systems at the Royal Institute of Technology (KTH), Stockholm, Sweden.

Institute of Artificial Intelligence (IAI)

Highlights

– Kypraios, I, Dindyal, S., Abudayeh, M., "Challenges of intervention in diabetes and CVD related to Peripheral Vascular Disease"  - to be submitted (2021).

– Kypraios, I, Dindyal, S., Woolston, S., "COPD accurate diagnosis of cardiodiabetic patients using data fusion"  - to be submitted (2021).

– Kypraios, I., “Improved asthma classification using wavelet-based enhanced radiographical imaging data” – to be submitted (2021)

– Kypraios, I., 13 Mar. 2019, “Smart Healthcare Monitors”, Research Seminar Series, Anglia Ruskin University, Cambridge, UK (Oral Presentation)

-- Kypraios, I., 26 Apr. 2018, “Blockchain and Sustainable Industrial Management”, Industrial Strategy and the role of Resource Management in UK, CIWEM at Norton Rose Fulbright (Government Policy Advisory Group), London, UK (Invited Talk)

– Kypraios, I., 2017, “POC Baby Monitoring System: Current Trends in Motion Amplification”, Technical Report, FLIR Intelligent Systems, San Jose, Ca.

– Kypraios, I., 2017, “POC Baby Monitoring System: A Literature Review”, Technical Report, FLIR Intelligent Systems, San Jose, Ca.

– Kypraios, I., 2016, “Liveness Detection for Biometrics: Documentation for LIVD-1.0.2”, FotoNation, Tessera Group, Galway, IE.

– Kypraios, I., 2016, “POC Elderly Monitoring System: GRANYCAM”, Technical Report, FLIR Intelligent Systems, Belgium.

– Kypraios, I., 27-29 Aug 2013, “Logarithmic hybrid optical neural network-type systems: towards digital-optical cognitive models of robust object recognition”, Frontiers in Neuroinformatics, 6^th INCF International Congress of Neuroinformatics, Karolinska Institute, Stockholm, Sweden

– Kypraios, I., 12-15 August 2013, “HONN Type and L-HONN Type Systems: Towards Digital Optical Cognitive Architectures of Robust Object Recognition”, Progress In Electromagnetics Research Symposium 2013 (PIERS 2013), Kistam¨assan Exhibition Centre and Scandic Victoria Tower Hotel, Stockholm, Sweden

– Kypraios, I. 19-23 August 2012, “Wavelet-based Human Synthetic Movement Recognition in Sterile Zone Scenario”, Progress In Electromagnetics Research Symposium 2012 (PIERS 2012), Moscow State Institute of Radio-engineering Electronics and Automation (MIREA), Russian Academy of Sciences, Moscow, Russia, ISBN 978-1-934142-21-9

– De Potter, P., Kypraios, I.,  Verstockt, S., Poppe, C.,, Van de Walle, R., 2012 “Automatic passengers counting in public rail transport using wavelets”, Automatika Journal, Special Issue (ISSN:0005-1144), Vol. 53, No. 4, 795-805

– De Potter, P., Kypraios, I.,  Verstockt, S., Poppe, C., Van de Walle, R., 14-16 September 2011, “Automatic available seat counting in public rail transport using wavelets”, 53^rd International Symposium ELMAR-2011, IEEE Region 8/IEEE Croatia/EURASIP, Zadar, Croatia, Vol. 1, 79-83 

– Verstockt, S., Kypraios, I., De Potter, P., Poppe, C., Van de Walle, R., 29 August-2 September 2011, “Wavelet-based multi-modal fire detection”, 19th European Signal Processing Conference (EUSIPCO 2011), SS-07: Special Session on "Signal processing for disaster management and prevention", EURASIP, Barcelona, Spain, 903-907

– De Potter, P., Kypraios, I., Verstockt, S., Poppe, C. Van de Walle, R., 14-16 September 2011, “Automatic available seat counting in public rail transport using wavelets”, 53^rd International Symposium ELMAR-2011, IEEE Region 8/IEEE Croatia/EURASIP, Zadar, Croatia, (Peer Reviewed) Vol. 1, 79-83 

– Kypraios, I., 20-23 March 2011, “Recent advances in the design of Hybrid Optical Neural Network-type filters ”, Progress In Electromagnetics Research Symposium 2011 (PIERS 2011), Marrakech, Morocco, ISBN 978-1-934141-15-8

– Kypraios, I., Lei, P. W., 20-23 March 2011, “Integrating invariant object recognition tools into content-based Internet search engine”, Progress In Electromagnetics Research Symposium 2011 (PIERS 2011), Marrakech, Morocco, ISBN 978-1-934141-15-8

– Kypraios, I., 5-8 July 2010, “Performance assessment of the logarithmic-hybrid optical neural network filter for multiple objects recognition”, Progress In Electromagnetics Research Symposium 2010 (PIERS 2010), Massachusetts Institute of Technology (M.I.T.), Cambridge, MA, U.S.A., PIERS Online, Vol. 6, No. 8, 798-805

– Kypraios, I., 2010, “A Digital/Optical Neuronal Model for the Cognitive Interaction Between Retina Sensor and the Human Brain Visual Cortex”,  INCF UK Node Congress “Analysing and Modelling the Neural Systems in Health and Disease”, Informatics Forum, Edinburgh

– Rehman, S., Young, R. C. D., Birch, P. M., Chatwin, C. R., Kypraios, I., 2009, “Fully scale and in-plane invariant synthetic discriminant function bandpass difference of Gaussian composite filter for object recognition and detection in still images”, Journal of Theoretical and Applied Information Technology, Vol. 5, No. 2 , 232-241

– Kypraios, I., Lei, P. W., Birch, P. M., Young, R. C. D., and Chatwin, C. R., 2008, “Performance assessment of the Modified-Hybrid Optical Neural Network filter”, Applied Optics, Vol. 47, Issue 18, 3378-3389 

–  Kypraios, I., Young, R. C. D., Birch, P. M., and Chatwin, C. R., 2004, "Object recognition within cluttered scenes employing a Hybrid Optical Neural Network (HONN) filter", Optical Engineering-INVITED, Special Issue on Trends in Pattern Recognition, Vol. 43, No. 8, 1839-1850 

(1)   Healthcare Technologies and Devices;

(2)   Advanced Object Recognition Systems;

(3)   IoT based platform for multisensory data integration;

(4)   Medical Imaging;

(5)   Thermal and Hyperspectral Imaging;

(6)   Marker-based and marker-less human pose estimation;

(7)   Big data and models in Neuroinformatics;

(8)   Biologically Inspired Embedded Computational Intelligence Algorithms;

(9)   Autonomous Driving Systems

• BEng(Hons) in Computer Systems Engineering First Class, University of Sussex, 1997-2000. 
• MSc in Modern Digital Communication Systems with Distinction, University of Sussex, 2004-2006.
• Doctor of Philosophy (D.Phil.) in Robust Object Recognition Systems, Univ. of Sussex, 2000-2005.
• PG Cert in Teaching and Learning (HE), Anglia Ruskin University, 2017-2018.

• CTEC5603 AI for Cybersecurity
• IMAT5234 Applied Computational Intelligence
• IMAT3905 Game Engine Development

• Nominated as the Best Lecturer in the School of Computing and Information Science and shortlisted for Outstanding Personal Tutor by the Made a Difference Awards in 2018-2019 and in 2019-2020 at Anglia Ruskin University
• Shortlisted for the winners of the Inclusivity Award by the Made a Difference Awards in 2019-2020 at Anglia Ruskin University
• Dr Kypraios and his team’s work in Targetless Trailer Reverse Assist Function featured on the CISION PR Newswire during the Conti Winter 2015 Show in Brimley, MI, US
• In 2012-2013, Dr Kypraios worked at Oxford University in the software development of an automated image analysis for mammal and bird identification which was awarded an official UKAS accreditation under the standard ISO17025.
• Youngest D.Phil. Graduate in Summer 2005, University of Sussex
• 1st Joint Prize for the Best Poster Exhibition, 2001-2002, University of Sussex
• Top 10 Best Performance in Students’ Maths Competition of the Hellenic Maths Society (International Maths Olympiad (IMO), 1996-1997

• Reviewer for the Journal of Pattern Recognition by Elsevier Science (Impact Factor 7.196/  Scopus Cite Score 13.1)
• Reviewer for the International Journal of Intelligent Systems by Wiley (Impact Factor 10.312)

• Fellow of the Higher Education Academy (FHEA)
• Member of the Institution of Engineering and Technology (MIET)
• Member of Institute of Electrical and Electronic Engineering (MIEEE)
• Member of Optical Society of America (MOSA)

• Mohammad Abudayeh, Start: April 2021, Pathological Gait Analysis with Multisensory Data
• Simon Woolston, Start: April 2021, Diagnosis of CVD with Advanced Data Integration-based AI Models
• Duaa Al-Soudi, Start: October 2021, Diagnosis of Respiratory Disease with Advanced ML and AI Techniques;

Last 5-years

• PI – Jan 2021 – June 2021: approx £2500 Consultancy Grant, DMEL, “SymTerra app Demo”, Client: Keamore Ltd, London, Google Accelerator.
• PI - Summer 2019: £1000, Research Internship, RIDO, ARU, UK, “Data integration and simulation of IoT based sensors (incl. Thermal Cameras) for CVD Patients”
• PI - Jan 2018 – Sept 2018: approx. £15K, Innovation Bridge UK, “Automated Workflow for the Processing of 3D Surveying Data”, Client: Robert Ward Booth.
• PI – November 2016: 6-months fund >£45K for working in the area of smart healthcare devices and IoT sensors (LWIR thermal cameras) for homecare, funded by FLIR Intelligent Systems.
• Co-I - 06.2014-10.2015: R&D work in the area of Autonomous Self-Driving and Smart Connected Devices and Sensors (big data and data fusion) was funded by Jaguar Land Rover (JLR) (total 3-year 2015-2018 contract cost was >£10M.
• Co-I - June 2012: 6-months fund >£45K for working in the area of Big Data, Remote Sensing and Image Analysis, funded by Seagreen Wind Energy ltd.

https://orcid.org/0000-0002-7649-302X

Last 5-years

• PI – Jan 2021 – June 2021: approx £2500 Consultancy Grant, DMEL, “SymTerra app Demo”, Client: Keamore Ltd, London, Google Accelerator.
• PI - Summer 2019: £1000, Research Internship, RIDO, ARU, UK, “Data integration and simulation of IoT based sensors (incl. Thermal Cameras) for CVD Patients”
• PI - Jan 2018 – Sept 2018: approx. £15K, Innovation Bridge UK, “Automated Workflow for the Processing of 3D Surveying Data”, Client: Robert Ward Booth.
• PI – November 2016:  6-months fund >£45K for working in the area of smart healthcare devices and IoT sensors (LWIR thermal cameras) for homecare, funded by FLIR Intelligent Systems.
• Co-I - 06.2014-10.2015:  R&D work in the area of Autonomous Self-Driving and Smart Connected Devices and Sensors (big data and data fusion) was funded by Jaguar Land Rover (JLR) (total 3-year 2015-2018 contract cost was >£10M.
• Co-I - June 2012:  6-months fund >£45K for working in the area of Big Data, Remote Sensing and Image Analysis, funded by Seagreen Wind Energy ltd. 

Linkedin: https://www.linkedin.com/in/dr-ioannis-kypraios-59a8079

Blog: https://ioanniskypraiosacademic.blogspot.com/

ResearchGate: https://www.researchgate.net/profile/Ioannis-Kypraios