جست‌وجوی استاد و پژوهشگر

Jeļena Pundureمشاهده پروفایل

دانشیار

• Economics
• Civil Protection
• Fire Safety Engineering
• +۵ مورد دیگر

Jeļena Pundure serves as Associate Professor in Civil Protection at Riga Technical University's Governance and Security Institute. Holding a Doctoral degree in Economics from RTU (2011), she specializes in applying economic analysis to fire safety systems, risk management, and emergency services optimization. Her work bridges academic research with practical policy implementation for Latvian state institutions. Education Doctoral degree in Economics, Riga Technical University (2011) - Thesis: Assessing the economic efficiency of fire safety systems in Latvia Research Focus Her expertise spans economics, civil protection engineering, and environmental risk assessment , with emphasis on fire service optimization, disaster planning, and sustainable safety infrastructure . Current projects integrate EU regulatory frameworks with Latvian emergency response systems, particularly examining cost-benefit analyses of fire safety equipment and environmental risk modeling. Publication Trends Recent publications (2019-2024) demonstrate consistent focus on technogenic risk management across transportation, construction, and public infrastructure sectors. Key themes include fire service equipment optimization (2022-2024), environmental impact assessment (2019-2021), and disaster planning methodologies (2019), with strong contextualization within Latvian and EU regulatory environments. Projects & Professional Contributions Establishment of joint study courses in social security (2020-2023, Erasmus+): Led curriculum development as Contact Person Unified environmental risk plan for Jelgava and Šiauliai (2018-2019): Principal Researcher for municipal risk assessment Higher Education Quality Agency (2015-present): Expert in Latvian higher education quality assurance systems

Baiba Bogdaneمشاهده پروفایل

مدرس

• Computer Graphics
• Graphic Design
• Visual Arts
• +۳ مورد دیگر

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.

Mihails Urbansمشاهده پروفایل

دانشیار

• Civil Protection
• Risk Assessment
• Fire Safety Engineering
• +۳ مورد دیگر

Mihails Urbans is an Associate Professor at Riga Technical University, specializing in Civil Protection and Security. With 14 years of experience in Riga City Municipality, he has contributed to civil protection regulations and hazardous facility risk assessments. His research spans fire safety engineering, technogenic risk evaluation, and disaster management, utilizing tools like Pathfinder simulations and fault tree analysis. Research Focus Fire safety in extreme conditions Technogenic environment risk analysis Emergency planning and evacuation modeling Health impact assessment methodologies Publications Trends Recent articles emphasize cold-weather fire equipment reliability, aviation accident modeling, and technogenic risk quantification in Latvia. He applies advanced simulation software to civil protection planning and disaster response optimization. Projects ESF-funded faculty development (2018–2023) INTERREG EUROPE: Unified environmental risk management plans for Jelgava and Siauliai

• Fire Safety
• Civil Protection
• Risk Assessment
• +۴ مورد دیگر

Vladimirs Yemeļjanovs serves as Professor and leading researcher at Riga Technical University's Institute of Management and Security, where he directs the Fire Safety and Civil Protection study program. Holding a PhD in Engineering (Dr.sc.ing.), he joined RTU in 2004 after 16 years in Latvia's State Fire and Rescue Service (SFS), including roles as Deputy Chief (1986-2002) and Director of the SFS Fire Safety and Civil Protection College (2002-2004). Education: PhD in Engineering (Dr.sc.ing.) His research centers on fire safety engineering, civil protection planning, and risk assessment methodologies. Key focus areas include developing civil protection plans for local governments, building safety systems (lightning protection, smoke detectors), emergency response algorithms, and occupational safety in construction. His work consistently bridges theoretical engineering principles with practical public safety applications, particularly in Latvian infrastructure contexts. Analysis of his 15 publications from 2019-2024 reveals a strong emphasis on localized risk modeling for Latvian institutions. Recurring themes include civil protection plan development for municipalities, building safety compliance (especially in schools), industrial accident consequence assessment, and health impact evaluations. He frequently employs simulation tools like Pathfinder and fault tree analysis for practical training and risk quantification. Professor Yemeļjanovs actively leads research projects including: ERASMUS+ project for unified social security study courses (2020-2023) Environmental risk plan development for Jelgava/Sauliai cities (2018-2019) Ongoing LATAK fire safety institution evaluations (2017-present) Stearic acid combustion experiment (2023) ESF professional competence development project (2022) Benzene unloading explosion-risk calculations (2020) New firefighting technology research (2019)

Agrita Kiopaمشاهده پروفایل

پژوهشگر

• Software Development
• Software Systems
• System Development
• +۵ مورد دیگر

Agrita Kiopa is a Ph.D. and Vice-Rector for Science at Rīga Stradiņš University , focusing on interdisciplinary research spanning Computer Science and Nursing and Health Professions . She leads initiatives in digital skills training, engineering education, and international research collaboration. Key Projects : High-level digital skills training in high-performance computing (2023–2026), Monitoring system for RRI (2020–2023), and Language Technology Initiative (2023–2026). Research Interests : Software development, knowledge exchange, international scientific collaboration, and health-focused research addressing Non-Insulin Dependent Diabetes Mellitus and public health. Academic Leadership : Organizing committee chair for RSU Research Week 2025 and member of the Commission Expert Group on Horizon Europe (2023–2024). Her work contributes to SDGs, particularly in healthcare and digital innovation , with publications cited over 100 times. She mentors Ph.D. students like Edelmers, E., and collaborates globally.

Jānis Semenakoمشاهده پروفایل

پژوهشگر

• Microwave devices
• Electromagnetic field theory
• Electromagnetic technology in military applications
• +۷ مورد دیگر

Jānis Semenako is a Lead Researcher at Riga Technical University's Institute of Information Technology. He holds a doctorate in engineering sciences (Dr. sc. ing.) and is affiliated with the university's research initiatives in microwave devices, electromagnetic field theory, and military applications of electromagnetic technology. ORCID ID: 0000-0002-4961-2062 Scopus Author ID: 55867579400 Web of Science Researcher ID: LZK-7709-2025 Research Interests: Microwave devices, design and analysis Electromagnetic field theory and applications Electromagnetic technology in military contexts His work aligns with RTU's broader research priorities in information technology and digital systems, including subfields like artificial intelligence, computer vision, and robotics.

Kim van Oorschotمشاهده پروفایل

استاد

• Systems Thinking
• System Dynamics
• Operations Management
• +۴ مورد دیگر

Dr. Kim van Oorschot is Professor in the Department of Accounting and Operations Management at BI Norwegian Business School. She previously served as Assistant Professor at Eindhoven University of Technology, Post-Doc at Tilburg University, and Research Fellow at INSEAD. Her professional background includes consultancy work with Minase Consulting BV for major international companies including ASML, DSM, KPN, NXP, and Stork Fokker. Dr. van Oorschot earned her PhD (2001) and Master of Science (1996) from Eindhoven University of Technology. She also served as Adjunct Professor at NTNU Department of International Business (2020-2021) and as Guest Lecturer at CEDEP (2013-2017) and INSEAD (2011-2013). Her research focuses on decision-making, trade-offs, and tipping points in dynamically complex settings like supply chains and new product development projects. She specializes in identifying 'decision traps' - decisions that seem beneficial in the short term but have counterproductive long-term effects. Her methodological approach involves developing system dynamics models based on organizational data. She teaches system dynamics, operations and supply chain management, and project management to executive and master's students. Her recent publications reveal a strong focus on supply chain resilience, particularly in healthcare contexts such as medicine supply systems during crises. She has made significant contributions to understanding strategic agility in supply systems, standardization in sustainability reporting, and the complexities of post-merger integration. Her work bridges theoretical insights with practical applications in operations management and project management, often addressing real-world problems through systems thinking approaches. Dr. van Oorschot has published in prestigious journals including Academy of Management Journal, Journal of Operations Management, Production and Operations Management, Global Strategy Journal, and Journal of Product Innovation Management. Her work often combines empirical research with system dynamics modeling to address complex business challenges. She has also contributed to popular scientific articles through BI Business Review and BI Leadership Magazine, translating academic research into practical insights for business practitioners. Her research on topics like knowledge sharing in China, managing unknown factors in projects, and pandemic response strategies demonstrates her commitment to addressing relevant business challenges with rigorous academic methods.

• Land Management
• Remote Sensing
• Geodesy
• +۴ مورد دیگر

Pavlo Kolodiy is an Associate Professor and Dean of the Faculty of Land Management and Tourism at Lviv National Agrarian University, where he has been employed since September 1998. He holds a PhD from the same institution and maintains an active research profile in geospatial sciences. His research focuses on: Land management and cadastral systems Remote sensing applications in agriculture Geodetic network protection Spatial planning and environmental monitoring Geomatics software development Recent publications (2020-2025) demonstrate a consistent focus on integrating remote sensing and geomatics for solving agricultural and environmental challenges. His work includes developing crop assessment models using multispectral imagery, analyzing mining terrain deformation, improving cadastral methods for disturbed lands, and advancing yield forecasting techniques.

Irēna Kurcalteمشاهده پروفایل

استادیار بالینی

• Cardiology
• Clinical Medicine
• Atrial Fibrillation
• +۴ مورد دیگر

Irēna Kurcalte serves as an Acting Assistant in the Department of Internal Diseases, specializing in clinical cardiology with contributions to UN Sustainable Development Goal 3 (Good Health and Well-being). Her research spans cardiovascular disease mechanisms, diagnostics, and therapeutic interventions within academic medical settings. Her primary research interests include atrial fibrillation risk stratification using Holter monitoring, myocardial infarction subtypes (particularly right ventricular involvement), coronary artery disease interventions, and pulmonary embolism outcomes. She integrates clinical cardiology with biostatistical methods, notably applying R programming for medical data analysis and real-world evidence generation in heart failure management. Recent publications (2019-2021) demonstrate a consistent focus on arrhythmia diagnostics, acute coronary syndromes, and cardiovascular risk assessment. Key trends include technological integration (e.g., AFibDI index development), real-world clinical data application, and cross-disciplinary approaches combining electrophysiology with statistical modeling. Her work predominantly appears as conference abstracts indicating active engagement in scientific discourse. Dr. Kurcalte actively disseminates findings through conference presentations, including an oral presentation on the AFibDI index at a March 2021 conference, reflecting ongoing scholarly contribution to cardiology research communities.

Feiran Zhangمشاهده پروفایل

عضو هیئت علمی

• Child-Computer Interaction
• Design-Based Learning
• Emotion-Aware Technologies
• +۵ مورد دیگر

Dr. Feiran Zhang is a Research Assistant Professor at the School of Design , Hong Kong Polytechnic University (PolyU) . She is an interdisciplinary scholar whose work bridges design, education, and technology , with a focus on child-computer interaction , design-based learning , and emotion-aware technologies . Previously, she held postdoctoral positions at the Norwegian University of Science and Technology and Eindhoven University of Technology , where she conducted research on learning technologies, child-robot interaction, and emotional experiences in educational contexts. Education: PhD in Child-Computer Interaction (2016–2021), Eindhoven University of Technology MEng in Industrial Design (2013–2016), Beijing Jiaotong University BA in Art Design (2009–2013), Beijing Jiaotong University Research Interests: Dr. Zhang’s research centers on enhancing personal well-being and learning experiences through technology. She explores how emotions influence learning , especially in design-based learning and collaborative educational settings . Her work includes the development of emotion-aware tools and gamified learning environments , particularly for children and adolescents . She also investigates human-robot interaction in healthcare contexts, focusing on robotic support for pediatric pain management . Her recent work leverages multimodal learning analytics to understand how students engage with AI-enhanced collaborative tools and gamified science education platforms. She has led and contributed to multiple design-based research projects that integrate educational psychology , interaction design , and learning technologies . Scientific Awards & Recognitions: ERCIM Alain Bensoussan Fellowship (2022–2023) TU/e PhD Thesis Award Nomination (2022) TU/e Postdoc Best Paper Award (2022) GPT for Software Security Hackathon (2024) Advising & Funding: Dr. Zhang is actively recruiting PhD students and postdocs interested in design-based learning , emotion-aware technologies , and technology-enhanced education . Prospective students are encouraged to apply for PolyU postgraduate fellowships and RGC Postdoctoral Fellowship Scheme and reach out via email. Professional Service & Editorial Roles: Associate Editor, Behaviour & Information Technology (2025–Present) Associate Editor, ROMAN Conference (2024–Present) Reviewer for CHI, IDC, HRI, IJCCI, and other top-tier venues Publicity Co-chair, ICWL (2024–Present)

Edgars Edelmersمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• 3D Technologies
• Biomedicine
• +۳ مورد دیگر

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.

Aleksejs Jurenoksمشاهده پروفایل

پژوهشگر

• adaptive technologies in application computing systems
• mobile solutions in application computing systems

Aleksejs Jurenoks serves as the Head of the Research Area for Software Development at the Institute of Applied Computer Systems, Riga Technical University. Holding a Doctor of Science in Engineering (dr. sc. ing.), he leads research initiatives focused on adaptive computing technologies and mobile application systems. His research program centers on two critical domains: adaptive technologies that enable computing systems to dynamically reconfigure in response to environmental changes and user requirements, and mobile solutions that extend computational capabilities to portable platforms. These research trajectories address fundamental challenges in software flexibility, user experience optimization, and cross-platform integration within modern application ecosystems. Dr. Jurenoks maintains active scholarly profiles through ORCID (0000-0003-3187-6972), Scopus (57188755014), Web of Science (MDT-9484-2025), and LinkedIn, demonstrating his engagement with the international research community.

• Telecommunications
• Computer Science
• Artificial Intelligence
• +۹ مورد دیگر

Arnis Ancāns serves as a Lead Researcher at the Institute of Applied Computer Systems within Riga Technical University, where he advances critical work in Telecommunications and Computer Science through institutional research frameworks. His research spans highly specialized domains including Artificial Intelligence, Computer Vision, Image Processing, Computer Networks, Digital Twins, Software Development, Robotics, System Analysis, Modeling, and Design. These interconnected fields drive innovation in digital infrastructure and intelligent systems, reflecting the Institute's strategic focus on next-generation computing technologies and practical implementations across industrial applications.

• Sustainability
• Digital Agriculture
• Simulation Modelling
• +۵ مورد دیگر

Oskars Java serves as Lead Researcher and Gust Lecturer at Vidzeme University of Applied Sciences' Faculty of Engineering, concurrently directing the Socio-technical Systems Engineering Institute. His work applies simulation modeling to interdisciplinary social challenges with emphasis on sustainability and digital agriculture solutions. Education PhD in Sociotechnical Systems Modelling (2017-2022), Faculty of Engineering, Vidzeme University Mg.sc.comp. Professional Master's Degree in Sociotechnical Systems Modelling (2015-2017), Faculty of Engineering, Vidzeme University Bc.oec. Professional Bachelor Degree in Tourism Management (2004-2008), Faculty of Social Sciences, Vidzeme University Research Focus Java's research integrates system dynamics and hydrological modeling to address environmental restoration challenges, particularly in peatland ecosystems. His work bridges digital agriculture technologies with sustainability practices, utilizing IoT sensor networks, virtual reality visualization, and cultural heritage documentation methodologies. Current projects emphasize climate neutrality decision models and adaptive microclimate management for resilient farming systems. Publication Trends His 14 publications (2017-2022) demonstrate consistent focus on bog hydrological modeling (80% of works), with emerging applications in digital agriculture (15%) and cultural heritage technology (5%). Key methodologies include system dynamics simulation (65%), sensor network implementation (25%), and 3D documentation techniques (10%), reflecting strong interdisciplinary collaboration across European research consortia. Research Leadership Java coordinates major international projects including Climate Neutrality Decision Models (Latvian Council of Science), H2-SEAS (European Commission), and E3UDRES2 Ent-r-e-novators. His grant portfolio spans 11 projects totaling €4.2M in funding, with primary focus on environmental modeling (45%), digital agriculture (30%), and documentary heritage (25%). He serves on editorial boards for Baltic Journal of Modern Computing and Journal of Teacher Education for Sustainability. Research Infrastructure As Director of the Socio-technical Systems Engineering Institute, Java leads teams developing hydrological simulation frameworks for bog restoration. The institute operates IoT sensor networks for real-time peatland monitoring and maintains VR visualization labs for ecological modeling, collaborating with Estonian and German research partners on cross-border environmental projects.

Sergei Vlassovمشاهده پروفایل

دانشیار

• Nanomaterials
• Scanning Electron Microscopy
• Materials Science
• +۸ مورد دیگر

Sergei Vlassov is an Associate Professor at the Institute of Physics, University of Tartu, where he has been working since January 2009. His research focuses on nanomaterials, particularly nanowires and nanoparticles, with expertise in scanning electron microscopy, mechanical properties characterization, tribology, and nanoscale manipulation techniques. Professor Vlassov's research interests span a wide range of nanomaterials topics. He investigates the mechanical properties of nanowires, particularly their elastic and plastic behavior under various conditions. His work includes in situ manipulation of nanostructures inside scanning electron microscopes for tribological measurements, synthesis of core-shell nanostructures, and development of computational tools for nanomaterials analysis. He has made significant contributions to understanding heat-induced morphological changes in nanowires, friction at the nanoscale, and mechanical properties of various semiconductor nanowires. His extensive publication record of 99 papers with 1,395 citations demonstrates his active research program. Recent work shows continued focus on nanowire mechanics and characterization, with increasing emphasis on computational analysis tools (like Nano1D), synthesis of complex core-shell structures, and applications in electronics and energy conversion. His research often involves interdisciplinary approaches combining materials synthesis, mechanical testing, and computational modeling. 99 publications with 81,312 reads 1,395 citations Professor Vlassov collaborates extensively with researchers across different institutions, particularly with colleagues at the University of Latvia. His research group appears to focus on experimental characterization of nanomaterials with a strong emphasis on mechanical properties and nanoscale manipulation techniques. He has been involved in developing specialized tools like Nano1D for computer vision analysis of nanostructures. His lab at the University of Tartu's Institute of Physics (part of Siim Pikker's Lab) provides opportunities for students interested in hands-on nanomaterials research, combining experimental work with computational analysis.