Drago Torkar

Research areas
  • Computer vision
  • Pattern recognition
  • Image processing
  • Machine vision

  • Projects
  • Distributed Artificial Intelligent Systems (2021-2024)
  • Computer structures and systems (2019-2024)
  • Intelligent Secure Trustable Things (2020-2023)
  • Supporting Active Ageing through Multimodal coaching (2017-2021)
  • Advanced recognition (2020)
  • Machine vision quality control of molded plastic parts (2019-2020)
  • Resource Efficient Food and dRink for the Entire Supply cHain (2015-2019)
  • iNet - The Impact of Net Height in Table Tennis (2017-2018)
  • Computer structures and systems (2015-2018)

  •  
    Computer structures and systems[X]
    • acronym: ARRS program
    • type: ARRS program
    • duration: 2015-2018
    • content:
      The research programme Computer Structures and Systems is a combination of the advanced computing structures and efficient algorithms for complex-data processing that is the basis for reconfigurable computer systems. Reconfigurable systems are able to change their internal structure and function in response to external or internal stimuli. Increased performance and reduced power consumption are their widely recognized features, while their architectures provide the means for developing advanced computer systems that function autonomously most of the time without human intervention and have an ability to correct data, and to adapt and repair themselves.
      Due to the explosion of data (e.g., complex massive-data) in real-life processing, re-configurable computer systems require new and innovative approaches to run, and manage processes. As a consequence, systems must become more versatile, resilient, dependable, energy-efficient, recoverable, customizable and adaptable to changing operational contexts, environments or system characteristics.
      In high-performance/exascale computing the research involves the integration of reconfiguration and self-adaptivity with worst-case design principles in the development of the algorithms for distributed computing to be performed on clouds, clusters, multi-core CPUs, GPGPUs, FPGAs.
      In algorithm engineering a multi-level approaches related to complex and massive-data are needed to allow the original complex problem to be decomposed into a set of low-order optimization sub-problems. Furthermore, many-objective approach should be introduced, since the state-of-the-art techniques often fail to find a solution of real-world problems with many objectives. When uncertainty affects the feasibility of a solution, resilience ensures a solution that will be feasible for any realization taken by the unknown conditions. To implement the solutions where the user does not need any specific knowledge about control parameter setting, the self-adaptive approaches for controlling the predictive and the optimisation algorithms are needed. The highest usability of the approach is seen in connection with coordination, where the collective functioning of the system is achieved by indirect interactions among the elements of the system.
      The proposed research programme follows the main research objectives of the EU's Horizon 2020, within the mission of the Slovenian research agency. The results of the research will combine new and efficient computing structures, efficient systems for massive-data processing, and systems for effective human-computer interaction into a comprehensive unity to support the development of the most advanced computer systems. These systems will be used in production, transport, energy distribution, environmental sustainability, bioinformatics, health, and medicine, with the aim to ensure their social and technological progress.

  • Computer structures and systems (2009-2014)
  • Mobile application for food ingredients informing (2009-2010)
  • Development and implementation of a new PIM binder system using advanced methods (2008-2010)
  • The role of Luka Koper in logistic support of the Slovenian Armed Forces and allies (2006-2008)
  • Adaptive Robots for Flexible Manufacturing Systems (2005-2008)
  • Computing structures and systems (2004-2008)
  • Upgrade of light armoured wheeled vehicles VALUK 6x6 (2006-2007)
  • Vision interface for ABB robots (2006)
  • Secure data storage unit based on new ferroelectric semiconductor memory devices (2004-2006)
  • 2D and 3D digital map system for land, aerial and sea orientation (2004-2005)
  • Modeling rheological properties of ceramic-paraffine suspensions for low-pressure injection-moulding (2003-2004)
  • Computing structures and systems (1999-2003)
  • High performance evolutionary techniques in hardware-software codesign (1999-2001)
  • PEMCAS: personal monitor for capability supervision (1997-1998)
  • Architectural synthesis of computer systems with testability issues (1995-1998)
  • Publications
    Journal articles
  • Biomarkers of pre-existing risk of torsade de pointes under Sotalol treatment, J. ELECTROCARDIOL. (2020)
  • Dynamic features of cardiac vector as alternative markers of drug-induced spatial dispersion, J PHARMACOL TOX MET (2020)
  • Knee stiffness and viscosity of human cadaver - Wartenberg test, BJBMS (2017)
  • Cell counting tool parameters optimization approach for electroporation efficiency determination of attached cells in phase contrast images, J.Microsc. (2011)
  • Identification of radon anomalies in soil gas using decision trees and neural networks, Nukleonika (2010)
  • Application of artificial neural networks in simulating radon levels in soil gas, ChemGe (2010)
  • Visual control of an industrial robot manipulator: Accuracy Estimation, Stroj. vestn. (2009)
  • Robot Vision Accuracy Estimation, Elektroteh. vest. (2009)
  • Apparent viscosity prediction of alumina-paraffin suspensions using artificial neural networks, J. mater. process. technol. (2008)
  • Evaluation of accuracy in a 3D reconstruction system, WSEAS Trans. Syst. Control (2007)
  • Control of a robotic manipulator by visual and speech information, Eng. rev. (2002)
  • An uncalibrated robot system for reaching and grasping objects in unpredictable physical environment, J. Electr. Eng. (2001)
  • GPS positioning and digital map processing in 2D and 3D terrain environment, J. Comput. Inf. Technol. (1994)
  • Computer processing of hard-copy maps and their application in satelite positioning, J. Commun. (1994)
  • Reflection on light distribution measurement, Sens. Rev. (1992)
  • Conference papers
  • Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste, BFNDMA 2019 at IEEE BigData 2019
  • Analysis of an Electrocardiographic Multilead System using Artificial Neural Networks - A Study of the Dispersion during Premature Ventricular Stimulation, Biosignals 2016
  • Accuracy of a 3D reconstruction system, ISPRA 2007
  • Robot TCP positioning with vision : accuracy estimation of a robot visual control system, ICINCO 2007
  • Estimation of accuracy for robot vision control, SHR2007
  • Radon in soil gas : application of neuron networks to identify anomalies caused by earthquakes, Hazards 2006
  • Dynamic viscosity prediction of alumina-paraffin suspensions using artificial neural networks, AERC 2005
  • The use of numerical simulation for the study of low-pressure injection moulding of alumina-paraffin suspensions, AERC 2003
  • Books & Chapters in Books
  • Optimal lead selection for evaluation ventricular premature beats using machine learning approach, (2017)
  • Radon as Earthquake Precursor - Methods for Detecting Anomalies, InTech - Open Access Publisher (2011)