HESPI

INSTITUTE OF SOCIAL, ECONOMIC AND HUMANITIES RESEARCH (HESPI) of Vidzeme University of Applied Sciences (ViA HESPI) is established in 2013 as agency and in 2015 reorganised as a unit of the University. 

www.hespi.lv/en

The  Vidzeme University of Applied Sciences is recorded in Scientific Register of the Republic of Latvia since 15 July, 2015.

Mission

To perform open and creative scientific activity based in professional academic and applied research, to make its results public and include them in the study programmes of Vidzeme University of Applied Sciences, as well as promote the applicability of these results in smart community development on international, national, regional and local level.

SSII

SOCIO-TECHNICAL SYSTEMS ENGINEERING INSTITUTE of Vidzeme University of Applied Sciences was established in 2006.

Contacts:

 

Director: PhD Oskars Java

 

Research directions and competences

Virtual reality technologies, visualization and computer vision

Eco-buildings and smart technologies for national economy

Socio-technical Systems Modeling Technologies

E-learning management and technologies

Mechatronics

 

Latest publications by SSII researchers

Cirulis A., Brigmanis K., Zvejnieks G., Analysis of suitable natural feature computer vision algorithms for augmented reality services, International conference - Innovations and Creativity 2018, Liepājas Universitāte 2018.

Underwater Optical Fish Classification System by Means of Robust Feature Decomposition and Analysis using Multiple Neural Networks; DO  - 10.14569/IJACSA.2018.091286; International Journal of Advanced Computer Science and Applications

Bersons, I., Veilande, R., Balcers, O. (June 2018). Is the Photon a Soliton. In: Book of Abstracts, Symposium Single Photon Based Quantum Technologies. Berlīne, Vācija. 

Cakula. Smart Technological Learning Conceptual model. International journal of Engineering and Technology, Science Publishing Corporation. Vol 7 (2), 2018, pp.152-156.

Cakula S., Krasavina A., Technological Solution for Developing Sustainable Cooperation between Adult Education Institutions and Enterprises, 2107 IEEE Eight International Conference on Intelligent Computing and Information Systems (ICICIS’17), 2018, pp. 4-10.

Cakula, S., Jākobsone, A., Florea, M. (2017) Modelling of Knowledge Sharing for the Provision of Sustainable Cooperation between Adult Educational Institutions and Enterprises. Procedia Computer Science, Volume 104, pp. 160-165, Science Direct.

Cakula, S., Mirke, E. (2017) Simulation modelling for school development in Ādaži Municipality. Rural Environment. Education. Personality, pp. 127-134, Web of Science.

Jansevskis, M., Osis, K. (December 2018). Machine Learning and on 5G Based Technologies Create New Opportunities to Gain Knowledge. In: Book of Abstracts, Session: Machine Learning, Cybernetics and Cyber Security, p. 21. Berne, Šveice.

Food waste reduction in canteens of preschools and schools in Latvia, Simanovska J., pp. 69-82, in book (Food) Waste Not Want Not, Why food waste is a big deal and how to scale-up preventive action, Edited by Jana Simanovska and Charlotte Billingham (ed), 2018, Foundation for European Progressive Studies (FEPS) and Freedom and Solidarity Foundation (BSF), p. 157.

Zaķis, K., Zaķis, V., Arfridsson, J. (2017) Eleven nearly zero new building life cycle cost and dynamic performance optimization by computer modeling in cold climate, Procedia Computer Science, 104, pp. 302-312.

Projects:

* 2019. H2020. Stargate

* 2018 and 2019. Grants from the municipality of Valmiera. Analysis of socio-technical capabilities provided by 5G technologies and development of offer for the development of smart urban and research projects

* COST Action Proposal OC-2019-1-23687 " Digital Economy and the Society of the Future " as a Secondary Proposer