جستجوی استاد راهنمای دانشگاهی

Dace Reihmaneمشاهده پروفایل

دانشیار

• Sports Science
• Exercise Physiology
• Biochemistry
• +۳ مورد دیگر

Associate Professor Dace Reihmane is a prominent academic staff member in the Department of Human Physiology and Biochemistry at Rīga Stradiņš University (RSU), where she serves as the leader of the study course 'Medical Biochemistry.' She also holds the position of Acting Lead Researcher at the Laboratory of Sports and Nutrition Research. Dr. Reihmane maintains her office at RSU's Main Building (Room A-606) located at 16 Dzirciema iela, Rīga, LV-1007. Dr. Reihmane's research focuses primarily on sports science and exercise physiology, with special emphasis on exercise-induced changes in various biomarkers through invasive human studies. Her work bridges biochemistry, physical activity, and child health, making significant contributions to understanding how exercise affects physiological processes in young populations. Her research portfolio demonstrates a clear trajectory toward advancing sports science methodology and application in Latvia. Dr. Reihmane leads several major research initiatives including the national research program 'Innovations, methodologies and recommendations for the development and management of the sports sector in Latvia' (VPP-IZM-Sports-2023/1-0001), the EXPOSE research grant, and the TCReX project. She previously directed the University of Latvia's collaboration with the Latvian Olympic Committee on the Physical Activity and Children's Overall Health Study (PACH study). As a member of the scientific committee of the European College of Sport Science, Dr. Reihmane contributes to the broader international sports science community. Her methodological expertise was enhanced through participation in the Interdisciplinary IT Learning program at the University at Buffalo, State University of New York, where she gained advanced data analysis skills applicable to her research in sports science. Dr. Reihmane's work shows increasing emphasis on developing research methods and knowledge bases for health indicators in children and youth involved in sports, with particular attention to how these relate to training and competition processes. Her leadership in national research programs indicates her growing influence in shaping sports science policy and practice in Latvia.

• Dentistry
• Orthodontics
• Radiology
• +۶ مورد دیگر

Assoc. Prof. Dr. med. Laura Neimane serves as the Dean of the Faculty of Dentistry and holds an academic appointment in the Department of Conservative Dentistry and Oral Health at Rīga Stradiņš University (RSU). She also directs the Dentistry study program. Her professional roles include leadership in dental education, research, and clinical innovation. Dr. Neimane’s research focuses on advanced imaging techniques (CBCT, 3D-printed surgical models), bone regeneration materials, and AI applications in dentistry. She leads clinical trials evaluating treatments for tooth agenesis, molar transplantation, and osteoporosis-related bone deterioration in oral contexts. Her work integrates interdisciplinary approaches, combining dental surgery, radiology, and biomaterials science. She oversees the RSU Institute of Stomatology, which supports her research on implant stability, maxillary sinus augmentation, and temporomandibular joint disorders. Recent studies emphasize improving diagnostic accuracy through AI-driven image analysis and optimizing surgical techniques using 3D-printed tools. Dr. Neimane’s contributions bridge clinical practice and academic research, contributing to advancements in dental education and patient care in Latvia and beyond.

• Digital signal processing
• Wireless communications
• Signal processing
• +۳ مورد دیگر

Xiaodan Pang is a Tenure Professor at Riga Technical University (RTU) specializing in cutting-edge photonics and communications research. Her work focuses on developing next-generation optical and wireless technologies for high-speed data transmission systems, with significant contributions to silicon photonics, terahertz communications, and integrated sensing and communication architectures. Her primary research interests include: Digital signal processing Wireless communications Signal processing Fiber optics Optoelectronics Photonics Professor Pang's recent publications demonstrate leadership in overcoming fundamental challenges in high-speed communications. Her 2025 work spans silicon photonics ring-resonator modulators for optical-amplification-free links, photonic terahertz chaos systems for secure ranging, and analog fronthaul solutions for 6G networks. Key themes include neural network equalization for ultra-high baudrate transmission, energy-efficient unamplified optical links, and integrated sensing-communication systems leveraging terahertz frequencies. This research directly addresses critical bottlenecks in data center interconnects, 6G mobile infrastructure, and secure high-precision wireless applications. Her technical profile is documented through ORCID (0000-0003-4906-1704), Scopus (54407301300), and Web of Science (D-5032-2015) identifiers, with active professional engagement via LinkedIn.

Zanda Danebergaمشاهده پروفایل

استاد

• Cancer Research
• Molecular Oncology
• Genetic Testing
• +۷ مورد دیگر

Zanda Daneberga serves as Deputy Director for Molecular Oncology at the Institute of Oncology and Molecular Genetics, Riga Stradins University, where she also holds the position of Professor in the Department of Biology and Microbiology. With over 42 publications and involvement in 12 research projects, her academic career spans molecular oncology, genetic testing, and biomarker research. She also maintains an external position as Laboratory Geneticist at Children's Clinical University Hospital since October 1998. Her research interests focus on cancer cell biology, microRNA, metastatic colorectal cancer, breast cancer, biological markers, BRCA1, cohort studies, and progression-free survival. Daneberga's work significantly contributes to UN Sustainable Development Goals, particularly in basic medicine and biological sciences. She serves as an Expert for the Latvian Council of Science in 3.1 Basic Medicine (2025-2028, 2022-2025, 2019-2022) and previously in 1.6 Biological Sciences (2016-2019). The analysis of her recent publications reveals a strong focus on molecular diagnostics in cancer, particularly breast cancer and bladder cancer, with emphasis on biomarkers like microRNA and genetic mutations including BRCA1. Her research increasingly incorporates machine learning approaches for cancer diagnostics and spans from fundamental molecular mechanisms to clinical applications. Daneberga has received media attention for her work on hereditary breast and ovarian cancer, CRISPR gene editing, and human genome interpretation. She actively participates in scientific conferences, having delivered oral presentations including 'Population BRCA1 and BRCA2 screening: a Latvian pilot' scheduled for June 2025. Her current research projects include 'The gut microbiome as a neoadjuvant chemotherapy response affecting factor in triple-negative breast cancer (TNBC) patients' (2024-2028) where she serves as Supervisor, and 'Development of genetic testing strategies for hereditary breast and ovarian cancer risk prediction' (2024-2026) where she is a Leading Expert. She also contributes to the 'State research project in the field of biomedicine, medical technologies and pharmacy' (2022-2024) as a Leading Expert.

Maija Radziņaمشاهده پروفایل

استاد پژوهش

• Medical Imaging
• Vascular Imaging
• Neuroimaging
• +۷ مورد دیگر

Maija Radziņa, PhD, MD, is a tenured Research Professor at Rīga Stradiņš University, where she serves as Chief of the Radiology Research Laboratory. She is President of the Latvian Radiology Association and a practicing radiologist at the P. Stradins Clinical University Hospital's Diagnostic Radiology Institute. With 155 publications and 26 projects since 2017, her work focuses on advanced imaging techniques like CEUS, CT, and MRI for vascular and oncological applications, particularly in stroke and liver disease contexts. Current Role: Research Professor, Rīga Stradiņš University External Roles: Associate Professor (2019-2024), University of Latvia; Work Package Leader, Horizon 2020 PRISMAP Research Themes: Vascular imaging in stroke, AI integration in radiology, liver disease biomarkers, prostate cancer diagnostics Her recent projects include AI-powered bone metastasis detection , CT perfusion for stroke prognosis , and high-performance computing training . She mentors PhD students like Edelmers, E. and Nikulins, A., while contributing to UN Sustainable Development Goals through clinical education and technological innovation.

Alexander Belovمشاهده پروفایل

استادیار

• Quantum Algorithms
• Quantum Complexity
• Theoretical Computer Science
• +۵ مورد دیگر

Alexander Belov is an Assistant Professor and researcher at the Faculty of Computing, University of Latvia. He has held this position since 2016, while also serving as a researcher at the same institution since 2013. Prior to this, he completed postdoctoral work at Centrum Wiskunde & Informatica (CWI) in the Netherlands (2015-2016) and MIT's CSAIL (2014). His educational background includes: PhD in Computer Science, University of Latvia (2009-2014), supervised by Andris Ambainis Master of Mathematics, University of Waterloo (2008), supervised by Ashwin Nayak Master of Computer Science, University of Latvia (2006-2009), with distinction BSc in Computer Science, University of Latvia (2002-2006), with distinction Dr. Belov's research focuses primarily on quantum algorithms, with emphasis on upper and lower bounds for quantum complexity of various problems, applications of the adversary method, and discrete quantum walks. He also explores theoretical computer science topics including models of computation, query complexity, lower bounds, and related mathematical techniques. His work bridges deep theoretical insights with potential practical applications in quantum computing. His recent publications demonstrate a strong trend toward developing novel quantum algorithms, particularly for problems like monotonicity testing, k-distinctness, and group testing. His work often establishes important lower bounds and separation results in quantum query complexity. The research spans theoretical computer science, quantum information, and mathematical techniques for analyzing computational problems. Dr. Belov has received several prestigious awards: IEEE Conference on Computational Complexity 2014: Best student paper award IEEE Conference on Computational Complexity 2013: Best student paper award International Olympiad in Informatics 2002, Korea: Gold Medal International Mathematical Olympiad 2002, UK: Silver Medal International Mathematical Olympiad 2001, USA: Bronze Medal Dr. Belov serves as the principal researcher for the ERDF project "Quantum walks for large speed-ups, and general limitations of quantum algorithms" (project number 1.1.1.2/VIAA/1/16/113). He has been actively involved in reviewing papers for major conferences including STOC, FOCS, SODA, CCC, ICALP, ESA, QIP, and SOFSEM, as well as journals like Algorithmica, Theory of Computing, and Physical Review A. He has also contributed significantly to mathematical education in Latvia through Aivars Liepa's Extramural Mathematics School, preparing high school students for international olympiads and serving as the leader of Latvia's team at the 54th International Mathematical Olympiad.

Andris Locānsمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Quantum Machine Learning
• High-energy Physics
• +۳ مورد دیگر

Andris Locāns is a doctoral student and researcher affiliated with the University of Latvia through the Faculty of Computing and the Centre for Quantum Computer Science under Professor Andris Ambainis. Research Interests: Theoretical and applied aspects of quantum computing Quantum machine learning for high-energy physics Data processing optimization for Large Hadron Collider (LHC) experiments Algorithm development in emerging computational paradigms Scientific Awards: Mikrotīkls Foundation scholarship for doctoral studies Personal Background: Origin: Gulbene, Latvia Early interests: Physics, problem-solving, sports Current hobbies: Running, basketball, tennis Philosophy: Emphasizes funding for fundamental research as investment in future technologies

Ronald Zincمشاهده پروفایل

مدرس

• Performance Psychology
• Social Psychology
• Traffic Psychology
• +۳ مورد دیگر

Ronald Zinc is a Lecturer and researcher at the Department of Psychology within the Faculty of Educational Sciences and Psychology at the University of Latvia. He teaches seminars such as History of Modern Psychology and Statistics in Psychology , and participates in traffic psychology research projects. Research Focus: Performance psychology, social psychology, traffic psychology, and statistics. Publications: Contributions include studies on machine learning for employee turnover prediction, traffic behavior analysis, and experimental investigations into self-efficacy. His work explores intersections between technology, human behavior, and organizational dynamics. Further details about his research can be found on his ORCID profile and Google Scholar page .

Vladimirs Šatrevičsمشاهده پروفایل

دانشیار

• Strategic management
• System dynamics
• Entrepreneurial ecosystems
• +۵ مورد دیگر

Vladimirs Šatrevičs is an Associate Professor at the Faculty of Engineering Economics and Management, Riga Technical University, affiliated with the Economics and Business Institute. His research addresses strategic management challenges through system dynamics, machine learning, and Industry 4.0/5.0 frameworks, focusing on entrepreneurial ecosystems, manufacturing optimization, and holistic economic approaches. Contact: vladimirs.satrevics@rtu.lv ORCID SCOPUS ResearchGate LinkedIn Research interests span business process management , quality management , and operations management , with emphasis on bridging academic insights and industrial applications. Recent work explores: Green lifestyle perception analysis Cyber-physical systems for customer satisfaction Deep learning in wood defect detection Digital transformation risk assessment Smart building technologies Active in ERDF-funded projects since 2020, including initiatives for: Low-energy eco-friendly housing Wood scanning system development AI-based quality control solutions

Miki Nakazawaمشاهده پروفایل

دانشیار

• Breast Cancer
• Bladder Cancer
• Biomarkers
• +۵ مورد دیگر

Miki Nakazawa is an Associate Professor at Riga Stradins University, affiliated with the Institute of Oncology and Molecular Genetics and the Department of Biology and Microbiology. Her research focuses on biomarker discovery for cancer diagnostics, particularly in bladder and breast cancer, utilizing exosomal microRNA and transcriptomic profiling. Education: Not explicitly stated Research Areas: BRCA1 mutation analysis, non-invasive cancer diagnostics, exosome biology, and precision oncology. Scientific Awards: None listed Her work contributes to UN Sustainable Development Goals in health and well-being (SDG3). She leads national biomedical research programs and collaborates on translational projects. Nakazawa supervises PhD students, including Ērika Bitiņa-Barlote, and has presented extensively at academic conferences.

Sergio E. Uribeمشاهده پروفایل

استاد مهمان

• Dental Research
• Epidemiology
• Biostatistics
• +۷ مورد دیگر

Sergio E. Uribe is a Visiting Professor at the University Hospital LMU Munich and Cardiff University, and holds roles as Lead Researcher and Scientific Project Manager at Rīga Stradiņš University (RSU). He previously served as Associate Professor at Universidad Austral de Chile (2005–2023). His research focuses on dental caries, epidemiology, biostatistics, and AI applications in oral health. He has led projects like 'IEVA: Evidence-Based Paediatric Caries Management' and 'Caries-AI: Diagnostic Accuracy of AI Systems.' Education: PhD in Clinical Medicine from Universidad Austral de Chile (2016), with postdoctoral expertise from the Latvian Council of Science (2020–2026). His work aligns with UN SDGs in education and health. Research interests include AI-driven diagnostic tools, data transparency (FAIR principles), and translational dental research. He has been awarded the International Association for Dental Research - Research in Prevention Prize (2007). Key projects involve economic evaluations of caries management strategies and AI integration in dental education. He supervises students like O. Sļepcova and U. Stāmere. His datasets, including FAIR-compliant dental imaging collections, are publicly available on platforms like Zenodo.

• Biomechanics
• Sensor Networks
• Environmental Health
• +۷ مورد دیگر

Valters Āboliņš is a Leading Visiting Researcher at the Institute of Occupational Safety and Environmental Health, focusing on biomechanics, sensor networks, and environmental health research. His work intersects with artificial intelligence, sports science, and data science. Active in national research programs addressing societal resilience, including pandemic response studies. Specializes in gait analysis, balance performance, and force plate methodologies. Recent publications explore performance-stabilizing synergies, wireless sensor networks, and IoT testbed facilities. His research trends emphasize interdisciplinary applications of biomechanics, machine learning, and wearable sensor technologies. Peer-review contributions to journals like Sports Biomechanics and Human Movement Science highlight his engagement in motor control and sensor network domains.

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 Zaļkalnsمشاهده پروفایل

استادیار

• Clinical Medicine
• Rheumatology
• Gerontology
• +۱۱ مورد دیگر

Jānis Zaļkalns is an Acting Assistant Professor at Rīga Stradiņš University, affiliated with the Faculty of Medicine, Department of Internal Diseases, and also with the Department of Family Medicine. His work spans clinical medicine, gerontology, occupational health, and public health, contributing to UN Sustainable Development Goals in health and well-being. His research interests focus on inflammatory arthritis, adipokines, chemokines, metabolic syndrome, work-related musculoskeletal disorders , and ergonomics in construction work . He also explores aging, senior health, digital inclusion for elderly citizens , and vaccination behavior among seniors . The trends in his recent publications show a strong interdisciplinary approach, combining clinical research with public health policy , ergonomics , and social sciences . His work bridges laboratory-based biomarker studies with real-world applications in occupational safety and aging societies. Ministry of Education and Science Certificate of Merit (2002) Ministry of Health Certificate of Merit for Development of Gerontology in Latvia (2015) State Award: The Cross of Recognition (2020) Zaļkalns has led externally funded projects such as ICTSkills4All (empowering seniors in the digital world) and Demokrātijas atslēgas (promoting green and digital mobility). He has served as a consultant for the Cross-Sectoral Coordination Centre of the Latvian Cabinet of Ministers and was a member of the Council of Medical Professors at the University of Latvia (2015–2019). He is actively engaged in public discourse through media appearances and expert discussions on aging, health, and societal values, emphasizing the importance of preparing for aging and improving quality of life across all life stages.

Roberts Gobergsمشاهده پروفایل

مدرس

• Clinical Medicine
• Pediatric Cardiology
• Hypoplastic Left Heart Syndrome
• +۶ مورد دیگر

Roberts Gobergs is an Acting Lecturer in the Department of Human Physiology and Biochemistry. His academic work bridges clinical medicine and computational modeling, with a focus on improving outcomes in pediatric critical care, particularly for conditions like hypoplastic left heart syndrome. His research interests lie primarily in clinical medicine , pediatric cardiology , and medical prognostication . He applies advanced statistical techniques such as logistic regression and fuzzy-probabilistic hybrid models to develop risk scoring systems in intensive care settings. His interdisciplinary approach integrates medicine with data science to enhance decision-making in neonatal and pediatric cardiology. The two published articles reflect a consistent focus on high-acuity pediatric cardiac conditions. The earlier work provides a comprehensive review of hypoplastic left heart syndrome, while the later study introduces a novel computational model for predicting mortality risk in critically ill children—highlighting a trend toward data-driven clinical tools in pediatric intensive care. Scientific Awards: No scientific awards mentioned in the provided text. There is no explicit information about student advising, research grants, or funded projects. However, his collaborative publications suggest participation in multidisciplinary research teams involving statisticians, clinicians, and medical researchers. These collaborations likely support his contributions to pediatric cardiology and prognostic modeling. There is no mention of specific laboratories, research centers, or institutional teams with which he is affiliated. His work appears to be integrated within academic medical research networks, particularly in the context of observational studies and data analysis in pediatric cardiology and intensive care.