International Projects featuring novel AR, VR, AI & IoT Solutions

Feb 2019 – Jan 2020

The Immersive4Learning platform will adopt the Advanced Technology AIDE from KTH and Industrial Platform Neural Compute Stick (NCS) from Intel. The AIDE enables the implementation of the core linked data model connecting heterogeneous data sources and descriptions within the Virtual Reality Learning Environment (VRLE). The NCS is used to perform the demanding computation on the edge with collected data from the VR environment, parametrizing the heterogeneous data collected using the AI and then forwarding the abstracted data for further processing to the cloud in order to perform VR content personalization.

Feb 2019 – Jan 2020

Immersive4Learning is an intelligent platform powered by artificial intelligence (AI) and pedagogical and cognitive models for creation and delivery of teaching material in Virtual Reality environments. It utilizes a set of pedagogical models, including gamification, and a behaviour, learning style and cognitive performance monitoring engine, enabling dynamic personalization of the learning experience.

Mar 2018 – Feb 2019

Creation of Augmented Reality (AR) serious games that integrate Internet of Things (IoT), Advanced Data Modelling and Analysis techniques, a Recommendation mechanism and Gamification to facilitate the deployment of innovative energy-aware IT ecosystems for motivating end-users’ behavioural changes towards energy consumption reduction in buildings.

May 2014 – Sept 2015

FI-CONTENT2 combines content, media, networks, and creativity in merging of physical and virtual worlds through creative multiplayer games. Development of AR-based games through implementation of algorithms for object detection, localization, and tracking in real time. Tools development for easy creation of games.

May 2014 – Sept 2015

FINESCE Promotion of smart energy usage and sustainable resources through creative games.
Development of serious games with creative missions that promote efficient energy usage through visualisation of energy production and consumption and the use of real data in an Augmented Reality concept.

May 2014 – Sept 2015

ARgenie is a web browser online tool which enables RAPID and SIMPLE creation and deployment of AR applications using a ‘drag&drop’ concept that does not require programming skills. It is a cross-platform cloud-based service for building AR powered smartphone, tablet, or desktop applications. The solution enables application execution on any desired platform: Android, iOS, Windows, and Mac.

May 2014 – Sept 2015

MOBIWallet – Mobility and transport digital wallet. Development of interoperable fare management for sustainable urban transport. Purchase of public transport tickets via smart phone with options for travel planning and information on arrival times through Augmented Reality.

May 2014 – Sept 2015

The SMARTIE project works on security, privacy and trust for data exchange between IoT devices and consumers of their information. Results are demonstrated in smart cities in Germany, Serbia and Spain. Additional partners are from Portugal and the UK.

May 2014 – Sept 2015

CITI-SENSE will develop “citizens’ observatories” to empower citizens to contribute to and participate in environmental governance, to enable them to support and influence community and societal priorities and associated decision making. CITI-SENSE will develop, test, demonstrate and validate a community-based environmental monitoring and information system using innovative and novel Earth Observation applications.


International Publications that our team has published on topics such as Augmented Reality, Virtual Reality, Video Processing, Machine Vision, Image Processing, Sensor Technology, etc.

Boris Pokrić et al, ”Engaging Citizen Communities in Smart Cities Using IoT, Serious Gaming and Fast Markerless Augmented Reality”, IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015

Boris Pokrić et al, ”Augmented Reality enabled IoT services for environmental monitoring”, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), volume: 6, number: 1, pp. 37-55, 2015

Boris Pokrić et al, “ekoNET – Environmental Monitoring Using Low-Cost Sensors for Detecting Gases, Particulate Matter, and Meteorological Parameters”, Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014, IEEE, pp 421 – 426

Boris Pokrić, Srđan Krčo, Maja Pokrić, „Augmented Reality based Smart City Services using Secure IoT Infrastructure“, Pervasive Internet of Things and Smart Cities (PITSaC), IEEE Advanced Information Networking andApplications (AINA), 2014

Boris Pokric, ‘Integrated marketing and ticket and voucher selling using mTicketing and Augmented Reality concept’, Patent Application 2012/0027, Serbian Intellectual Property Office, 2012

Nigel W. John, Neil Thacker, Maja Pokriċ et al., ‘An Integrated Simulator for Surgery of the Petrous Bone’, In J.D. Westwood, editor, Medicine Meets Virtual Reality 2001, Amsterdam, The Netherlands, Jan. 2001

Culibrk, D.,Mirkovic, M,Zlokolica Vladimir,Pokric Maja,Kukolj Dragan, ‘Salient Motion Features for Video Quality Assessment’, IEEE Transactions on Image Processing, Vol. 20, pp. 948-958, 2011

Kukolj Dragan,Pokric Maja,Zlokolica Vladimir,Filipovic Jovana,Temerinac Miodrag, ‘, No-Reference Video Quality Assessment Design Framework Based on Modular Neural Networks, Artificial Neural Networks – ICANN 2010, Vol. 6352, pp. 569 – 574

Culibrk Dubravko,Kukolj Dragan,Pokric Maja,Zlokolica Vladimir, ‘Feature Selection for Neural-Network Based No-Reference Video Quality Assessment’, 19th International Conference on Artificial Neural Networks, ICANN 2009, Vol5769/2009

Pokric et al., ‘Laser Based Inspection and Path Correction for Automatic Sewing Apparatus’, Laser Metrology & Machine Performance III, Transaction: Engineering Sciences ISSN: 1743-3533; ISBN: 1-85312-536-9, Edited By: D.G. FORD, University of Huddersfield, volume 16, Pages: 568, 1997

Pokric et al., ‘A double area detector system for simultaneous small and wide-angle X-ray scattering’, Nuclear Instruments and Methods in Physics Research Section A, Vol 477, pp. 329-334, 2002

N. M. Allinson, B. Pokric et al., ‘Unique double area detector system for simultaneous small and wide angle x-ray diffraction studies’, Proceedings of SPIE Vol. 4507, The International Symposium on Optical Science and Technology, 2001

Pokric et al., ‘A Double Area Detector System for Simultaneous Small and Wide Angle x-ray Scattering’, 5th International Conference on Position-Sensitive Detectors, University College London, September 1999

E.T.Bergstrom, D.M. Goodall, B.Pokric, N.M.Allinson, ‘A Charge Coupled Device Array Detector for Single-Wavelength and Multiwavelength Ultraviolet Absorbance in Capillary Electrophoresis’, Analytical Chemistry, 71, pp.4376-4384, 1999

E.T.Bergstrom, D.M.Goodall, B.Pokric, N.M.Allinson, P.C.Navarro, M.R.Duffin, M.S.Lant ‘Application of CCD based UV Absorbance Detection to CE Analysis of Paraquat and Related Species’, Analytical Chemistry, 1999

Pokriċ M. et al., ‘Development of large-area CCD-based x-ray detector for macromolecular crystallography’, SPIE Proceedings, Detectors for Crystallography and Diffraction Studies at Synchrotron Sources, Vol. 3774, pp. 46-57, 1999

N A Thacker, D C Williamson, M Pokriċ, ‘Voxel based analysis of tissue volume for MRI data’, British Journal of Radiology, Volume 77 Pages 114-125, August 2004, ISSN 11445826

Thacker, N. A., Pokriċ, M., Noise Filtering and Testing Illustrated Using a Multi-dimensional Partial Volume Model of MR Data, British Machine Vision Conference (BMVC), 2004.

Pokric Maja,P. A. Bromiley,N. A. Thacker,M. L. J. Scott,A. J. Lacey,T. F. Cootes, ‘Bayesian and Non-Bayesian Probabilistic Models for Medical Image Analysis’, Image and Vision Computing, 21/10 pp 851-864, 2003.

M. Pokriċ, N.A. Thacker, M. L.J. Scott, A. Jackson, ‘The Importance of Partial Voluming in Multi-dimensional Medical Image Segmentation’, pp. 1293-1294, MICCAI 2001

Pokric et al., ‘Integration of macromolecular diffraction data using radial basis function networks’, Journal of Synchrotron Radiation, Vol 7, pp. 386-394, 2000

Pokriċ, M., Bromiley, P.A., Thacker, N.A., and Jackson, A., Probabilistic Multi-Modality Image Segmentation with Partial Voluming, ISMSM 2002, Honolulu, Hawaii, 2002.

Bromiley, P.A, Pokriċ, M., and Thacker, N.A., Identification of Enhancing MS Lesions in MR Images using Non-Parametric Image Subtraction, MIUA 2002, Portsmouth, 2002

Pokric et al., ‘Dynamic Analysis of Capillary Electrophoresis Data using Real-time Neural Networks’, Journal of Chromatography A, 833, pp. 231-244, 1999

Pokric et al., ‘Dynamic Analysis of Capillary Electrophoresis Data using Real-time Neural Networks’, Highlighted article, Analytical Chemistry, 71 (9), pp. 307, 1999

Pokric et al., ‘Combining Linear Filtering and Radial Basis Function Networks for Accurate Profile Recovery’, IEE Proceedings – Vision, Image and Signal Processing, Vol. 146, No.6, pp.197-305, 1999

Pokric et al., ‘Real-time Analysis of Capillary Electrophoresis Data Using Linear and Non-linear Signal Processing’, 5th International Symposium on Capillary Electrophoresis, York, 1998

Pokric et al., ‘Real-time Neural Networks for Enhanced Sensitivity Capillary Electrophoresis Systems’, HPCE 98, Feb 1998.

Nigel M Allinson and Boris Pokric, ‘Combining Linear and Neural Processing Instruments – or when to switch on your neurons’, Further Developments in Scientific Optical Imaging, The proceedings of the International Conference on Scientific Optical Imaging, Royal Society of Chemistry, ISBN 0-85404-784-0, book chapter, pg. 64-79, 1998

Pokric et al., ‘Neural Networks for Real-time Processing of Fluorescence/Absorbance Capillary Electrophoresis Data’, Scientific Instrument Association 98 conference, London, 1998.

Boris Pokrić et al, “ekoNET – Environmental Monitoring Using Low-Cost Sensors for Detecting Gases, Particulate Matter, and Meteorological Parameters”, Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014, IEEE, pp 421 – 426

Boris Pokrić et al, “Smart City Services for Environmental Monitoring and Public Transport”, IERC – European Research Cluster on Internet of Things / Success Stories, p65, 2014

Sébastien Ziegler, Cedric Crettaz, Latif Ladid, Srdjan Krco, Boris Pokric, Antonio F. Skarmeta, Antonio Jara, Wolfgang Kastner, Markus Jung, IoT6 – Moving to an IPv6-Based Future IoT, The Future Internet Lecture Notes in Computer Science Volume 7858, 2013, pp 161-172, Spinger Link

M. A. Cooper, B. Pokric et al., Biosensing using rupture event scanning (REVS)™, Measurement Science and Technology, 14 pp. 1888-1893, 2003

Srđan Krčo, Boris Pokrić, Francois Carrez, „’Designing IoT Architecture(s) – A European Perspective“, IEEE World Forum on Internet of Things WF-IoT 2014