Find Academic Supervisors

Juris NikiforovsView profile

Associate Professor

• Visual Arts
• Art Education
• Sculpture
• +3 more

Juris Nikiforovs is an Associate Professor at the University of Latvia's Faculty of Pedagogy, Psychology and Art since 1989 (promoted in 2019). He leads the programs 'Visual Art Teacher' and 'Art,' teaching courses in Drawing, Sculpture, Computer Graphics, and Spatial Composition. His creative work includes exhibitions such as 'Art Days' (Latvian Artists' Union, 2021) and international medal art projects in Bulgaria (2020–2021). He holds degrees in Art (Mg. art) and Pedagogy (Mg. paed). Research interests focus on visual arts, art education, and medal sculpture, reflected in his 2019 publication analyzing the 16th Latvian Medal Art Triennial. Collaborations include projects with Bulgaria's National Academy of Arts and contributions to publications like Visual Competence in the 21st Century . Exhibitions highlight his involvement in both local and international art initiatives, emphasizing interdisciplinary approaches to art and design education.

Baiba BogdaneView profile

Lecturer

• Computer Graphics
• Graphic Design
• Visual Arts
• +3 more

Baiba Bogdane is a Lecturer at the Latvian Academy of Music, specializing in developing and implementing training methodologies for 2D computer graphics. She is recognized as an expert in computer design programs at the Education Quality Assessment Center. Teaches 2D computer graphics, lettering, and color graphics Active in individual creativity and group projects, including exhibitions and graphic design International experience from internships at Grafyx in Hamburg and teacher exchange projects Her research interests focus on computer graphics, graphic design, visual arts, and educational training methodologies. She contributes to the academic field through her expertise in design software and pedagogical innovation. Currently engaged in creative and educational activities, Baiba Bogdane maintains professional connections through her work at the Latvian Academy of Music and the Education Quality Assessment Center.

• Tribology
• Friction and Wear Processes
• Surface Texture Analysis
• +3 more

Guntis Springis, Ph.D., is a Research Fellow at Riga Technical University (RTU) within the Faculty of Civil and Mechanical Engineering. His research focuses on tribology, specifically analyzing friction and wear processes in assembled parts, optimizing friction pair lifespans, and investigating the impact of 3D surface texture parameters on wear dynamics. He contributes to teaching courses in metrology, machine elements, and computer graphics. He has reviewed numerous bachelor's and master's theses and has published over 10 articles in SCOPUS and Web of Science-indexed journals, achieving a Hirsch index of 3. Education: Ph.D. in Engineering Sciences and Technologies (2024) Research interests include material characterization, surface engineering, and tribological systems optimization. His work bridges theoretical analysis and practical applications in mechanical systems design. He is a member of the Professorial Group of Materials Surface Characterization and Tribology. Contact details include his email: guntis.springis@rtu.lv and office at 6A Kipsalas Street, Riga, Latvia.

Edgars EdelmersView profile

Researcher

• Artificial Intelligence
• 3D Technologies
• Biomedicine
• +3 more

Edgars Edelmers is an Acting Researcher at the Medical Education Technology Centre and Rīga Stradiņš University (RSU), and a PhD student in the Department of Morphology at RSU's Institute of Anatomy and Anthropology. He also serves as a Teaching Fellow at Riga Technical University and a Software Engineer at the Institute of Electronics and Computer Science. His research focuses on integrating artificial intelligence (AI) and 3D technologies into biomedical applications, including medical diagnostics, research methodologies, and educational tools. Key areas of expertise include AI-driven medical imaging analysis, deep neural networks for disease detection (e.g., bone metastases, haemorrhoidal disease), and 3D model reconstruction from medical scans. Education: PhD Candidate in Anatomy and Anthropology at Rīga Stradiņš University Research Interests: Development of AI solutions for medical imaging segmentation and diagnostics 3D modeling for anatomical education and surgical planning Interdisciplinary collaboration between computer science and biomedicine Applications of explainable AI in healthcare Notable Projects: A.I.B.M.: AI system for identifying bone metastases in CT/MRI scans Development of MorpHista software for histological image analysis High-level digital skills training in high-performance computing Awards: 2020 Certificate of Appreciation for advancing 3D printing in education Grants & Collaborations: Latvian Council of Science-funded projects on AI in oncology EU-funded initiatives in high-performance computing training Labs/Teams: Active contributor to the Medical Education Technology Centre and collaborator with the Institute of Electronics and Computer Science.

• Friction Processes
• Wear Optimization
• Surface Texture Analysis
• +2 more

Guntis Spriņģis is a Researcher at Riga Technical University's Faculty of Civil and Mechanical Engineering, specializing in friction and wear processes. His research analyzes surface texture parameters' impact on wear and optimizes friction pair service life. Research focuses: Wear process modeling 3D surface parameter correlations Material degradation mechanisms He contributes to teaching metrology, machine elements, and computer graphics courses and reviews bachelor/master theses. With 10+ Scopus/Web of Science publications (Hirsch index 3), he participates in the Materials Surface Characterization and Tribology Research Group.