Find Academic Supervisors

• Topological Data Analysis
• Stochastic Geometry
• Large Deviations Theory
• +4 more

Christian Hirsch is an Associate Professor for Data Science and Statistics at Aarhus University, where he studies random networks motivated from biology and health sciences through techniques from topological data analysis and stochastic geometry. He is a member of the Stochastics group at the Department of Mathematics and holds additional affiliations as an Associate Fellow of the Aarhus Institute for Advanced Studies, and with the AU DIGIT Centre and the AU Quantum Campus. Current Position: Associate Professor for Data Science and Statistics, Aarhus University Previous Positions: Assistant Professor at University of Groningen and University of Mannheim Postdoctoral Experience: Aalborg University, LMU Munich, WIAS Berlin Education: PhD from Ulm University Christian Hirsch's research focuses on the statistical foundations of topological data analysis, large deviations theory in stochastic geometry, and percolation theory of spatial random networks. His work bridges theoretical mathematics with practical applications in data science, particularly in analyzing complex structures through topological methods. He investigates how topological features form and disappear in growing data structures, developing statistical tests to determine whether observed patterns are significant or merely random occurrences. His recent publications reveal a strong trend toward applying topological data analysis to increasingly complex structures, with significant focus on statistical validation of topological features. Hirsch has made substantial contributions to understanding the probabilistic behavior of persistent homology, developing functional central limit theorems and large deviation principles for topological functionals. His work spans theoretical foundations in stochastic geometry while finding applications in materials science, neural networks, and wireless communication systems. As an educator, Hirsch teaches graduate courses including Topological Data Analysis, Stochastic Geometry, Monte Carlo Simulation, Markov Decision Processes, Probability Theory, and Stochastic Processes. He has supervised numerous PhD, MSc, and BSc students, with several of his former students securing academic positions at institutions like University of Leiden, Tokyo Institute of Technology, and Budapest University of Technology. Hirsch leads a research group within the Stochastics group at Aarhus University, collaborating extensively with researchers across Europe and North America. His work demonstrates how topological methods can provide rigorous statistical insights into complex data structures, making significant contributions to both theoretical mathematics and practical data analysis techniques.

• Structural Engineering
• Timber and Steel Composite Structures
• Fire Safety Engineering
• +5 more

Bunji Izumi is an Assistant Professor at the Department of Architecture and Technology, Faculty of Architecture and Design, NTNU, supported by the Scandinavia-Japan Sasakawa Lectureship. He holds a Dipl.-Ing., M.Sc., and B.Eng., and is a registered architect in Japan. His career includes roles at Nikken Sekkei Ltd. (Tokyo) as Senior Computational Designer and Associate in Structural Design, and at Driendl Architects in Vienna, Austria. His research focuses on structural engineering, timber-steel composite systems, fire safety, digital design, and sustainable architecture. Key areas include optimization methods in architectural design, circular timber structures, and interdisciplinary collaboration between architects and engineers. Publications highlight work on foldable canopies, fire-resistant composites, BIM integration, and structural education reforms. He contributes to exhibitions like IASS 2019 and collaborates on projects such as the Shogakukan Building and Vienna Indoor Swimming Pool. His educational background includes postgraduate studies at TU Vienna and the University of Tokyo, emphasizing structural design and timber engineering. Current research trends emphasize sustainability, circular design, and computational workflows.

• Educational Technology
• Digital Learning
• Teacher Education
• +5 more

Eli Gjølstad is an Assistant Professor at Oslo Metropolitan University, Faculty of Education and International Studies, Department of Primary and Secondary Teacher Education. Gjølstad serves as Head of Studies for Area of Responsibility 5 and focuses on the integration of digital technologies in educational contexts. The academic is based at Pilestredet 52, 0167 Oslo, with office number B515, and can be contacted via mobile (+47 924 28 894) or office phone (+47 672 37 116). Gjølstad's research interests center on educational technology, particularly focusing on digital learning environments, teacher education, and the implementation of digital tools in primary and secondary education. Special attention is given to human-centered artificial intelligence applications that reduce teacher workload, digital ethics in classroom settings, and evaluating digital tools for foundational literacy and numeracy skills development. The research spans both theoretical frameworks and practical classroom applications across various educational levels. The publication record demonstrates a strong focus on how digital technologies transform teaching and learning practices, with particular emphasis on post-pandemic educational adaptations, ethical considerations in digital education, and practical implementations of educational technology in Norwegian schools. Recent work increasingly addresses artificial intelligence applications in educational contexts, showing a progression toward more sophisticated technological integrations in teacher workflows. Gjølstad has been actively involved in developing open online courses for teacher education and has contributed significantly to understanding students' and teachers' experiences with digital learning environments. The research often employs mixed-methods approaches, combining qualitative insights with quantitative data to provide comprehensive analyses of educational technology implementations. As Head of Studies, Gjølstad plays a key role in shaping teacher education programs with a strong digital component, ensuring that future educators are equipped with necessary technological competencies. The work bridges theoretical research with practical educational applications, creating meaningful connections between academic findings and classroom practice.

• Norwegian as a second language
• Children's language development
• Multilingualism
• +3 more

Elena Tkachenko is a Lecturer at Oslo Metropolitan University, affiliated with the Faculty of Teacher Education and International Studies and the Department of Primary and Vocational Teacher Education, where she serves as Study Leader for Area 3. Based at Pilestredet 42, 0167 Oslo, she maintains active research and teaching responsibilities focused on language education. Dr. Tkachenko holds a degree in Applied Linguistics from St. Petersburg State University, which forms the foundation of her expertise in language acquisition and multilingual education. Her academic journey has centered on practical applications of linguistic theory in educational settings, particularly within Norwegian contexts. Her primary research interests include Norwegian as a second language, children's language development, and multilingualism, with special attention to translanguaging practices in early childhood education. Dr. Tkachenko conducts research on multilingual children, students, and staff, collaborating closely with practitioners to develop effective multilingual practices in education. Her work examines how linguistic diversity can be leveraged as a resource rather than a challenge in learning environments, particularly focusing on newly arrived immigrant populations including Ukrainian children in Norway. Analysis of Dr. Tkachenko's recent publications reveals a strong trajectory toward understanding how educational institutions can better support multilingual development through teacher training, policy implementation, and classroom practices that validate students' full linguistic repertoires. Her work spans Nordic early childhood education settings, examining translanguaging strategies, language policy implementation, and the use of AI in second language learning, demonstrating practical applications of theoretical frameworks in real educational contexts. Dr. Tkachenko actively contributes to research projects including the current pilot project on 'Second language students' use of AI and the use of AI in second language learning' and previously contributed to 'Increased quality in early literacy education in Ethiopia.' She regularly presents her findings at international conferences and participates in professional development seminars for educators. She is a member of the research groups 'Beginner training' and 'Cultural diversity and multilingualism in a global perspective,' where she collaborates with colleagues on advancing understanding of inclusive educational environments. Her work with language helpers and minority language assistants demonstrates her commitment to practical, community-based approaches to language education.

• Structural Dynamics
• Railway Structural Dynamics
• Structural Health Monitoring
• +7 more

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU’s Faculty of Engineering Science. His research focuses on structural dynamics, railway systems, and bridge engineering. He leads projects on structural health monitoring, wind engineering, and architectural collaboration in structural design. Key collaborations include work with KTH Stockholm, Vilnius University, and the University of Porto. He teaches courses such as Structural Dynamics, Steel Structures II, and Railway Catenary Systems. His work integrates advanced sensor technologies, machine learning, and probabilistic methods to address challenges in infrastructure longevity and safety. Research interests span structural monitoring, overhead contact line dynamics, and reliability assessments. Notable contributions include the development of Kalman filter-based systems for crosswind load identification and shape grammar approaches for architectural-structural design integration. His team has pioneered non-contact measurement techniques using digital image correlation and advanced neural networks for bridge rivet inspection. Publications highlight innovations in railway catenary optimization, timber structure dynamics, and probabilistic fatigue analysis. His work emphasizes interdisciplinary approaches, bridging engineering and architectural disciplines to enhance sustainable infrastructure solutions.

Jelena RadišićView profile

Researcher

• Educational Psychology
• Teaching-Learning Processes
• Student Motivation
• +6 more

Jelena Radišić is a Researcher at the Department of Teacher Education and School Research at the University of Oslo, where she has been employed since 2016. She is actively involved in international research projects focused on teaching-learning processes, with particular emphasis on observing learning as a dynamic process rather than just outcomes. Her work bridges multiple educational contexts across Europe, including Norway, Serbia, and other international settings through large-scale assessment studies. Educational Background: Graduated in psychology from the Faculty of Philosophy, University of Belgrade Obtained magister degree in developmental psychology from University of Belgrade Completed doctoral studies in educational psychology at the University of Belgrade Part of doctoral training at the Doctoral School in Educational Sciences: Learning, Interaction and Schooling (DSES-LEARN), University of Gothenburg Jelena Radišić's research focuses on the dynamic nature of teaching and learning processes, examining how students and teachers interact in educational settings. She investigates motivation for learning and how instructional practices can foster development, with particular attention to student, teacher, and school characteristics that affect academic achievement. Her work often involves secondary analysis of international large-scale assessment data from TIMSS, TALIS, and PISA, allowing for cross-national comparisons of educational systems. Through mixed methods approaches, she examines both quantitative and qualitative aspects of educational processes, with recent emphasis on mathematics motivation in primary education across different cultural contexts. Analysis of Radišić's recent publications reveals a strong focus on mathematics education, motivation, and international comparative studies. Her work frequently employs TIMSS, PISA, and TALIS data to examine educational phenomena across national contexts, particularly in Nordic countries and Serbia. There's a clear trajectory toward understanding the complex interplay between student motivation, classroom environments, and academic achievement, with increasing attention to longitudinal perspectives on mathematics development. Her research consistently bridges theory and practice, aiming to inform educational policy and classroom instruction through evidence-based findings. Scientific Awards: EERA Scholarship for Emerging Researchers (2010) from the European Educational Research Association ESP Research Fellowship (2010) from the Educational Support Program of the Open Society Institute ESP Research Fellowship (2009) from the Educational Support Program of the Open Society Institute Radišić serves in significant editorial and coordination roles that demonstrate her standing in the educational research community. Since 2022, she has been an Associate Editor for the European Journal of Psychology of Education, having previously served as Assistant Editor from 2015-2021. She is also the Senior Coordinator for EARLI SIG 10—Social Interaction in Learning and Instruction (2021-2025), and previously served as JURE Coordinator for the same SIG (2015-2019). Currently, she leads an international project "Co-constructing mathematics motivation in primary education - A longitudinal study in six European countries (MATHMot)" which examines mathematics motivation development across school and home environments. Radišić is actively involved with the TIMSS research group at the University of Oslo and contributes to the EKVA Large-scale Educational Assessment research group. Her current projects focus on mathematics competence, motivation, academic emotions, and computer-based assessment in mathematics. She collaborates extensively with researchers across Europe, including ongoing work with institutions in Italy, Sweden, Finland, and Serbia, reflecting her commitment to international educational research that addresses common challenges across different educational systems.

• Structural Engineering
• Conceptual Design
• Form Finding Methods
• +7 more

Marcin Luczkowski serves as an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), Faculty of Engineering. His research focuses on developing form finding methods for shells and long span structures, with special emphasis on digital fabrication and mass customization. He is a key member of the Conceptual Structural Designing Group where he investigates new numerical methods to improve building processes and bridge the gap between design and manufacturing. His research interests include structural optimization, parametric design, building information modeling (BIM), and computational methods for structural engineering. Luczkowski's work centers on creating better numerical methods for form finding, improving building process quality, adapting parametric platforms for structural engineering according to manufacturing changes, and developing more effective usage of BIM and FEM for digital fabrication. His recent publications reveal a growing focus on sustainable construction practices, particularly circular economy principles applied to timber structures and material reuse. His research publications from 2016-2025 demonstrate consistent contributions to structural engineering, with increasing emphasis on interdisciplinary approaches combining architecture, engineering, and computational methods. Recent work shows significant interest in circular economy applications within structural engineering, particularly regarding timber construction and material reuse. His technical expertise spans from fundamental structural design to advanced computational tools development, including Grasshopper plugins for finite element analysis. Luczkowski has received recognition for his innovative approaches to structural design, particularly in the areas of timber gridshells, parametric detailing of structural connections, and the integration of architectural considerations into structural engineering education. His work on aluminum nodes for timber gridshells and matching algorithms for reclaimed building elements demonstrates practical applications of his research. As an educator, he teaches structural design courses and has participated in numerous academic lectures and conferences worldwide, presenting on topics ranging from parametric approaches to design to digital workflows for timber free-form structures. His teaching philosophy appears to emphasize the integration of architectural considerations into structural engineering education, as evidenced by his research on improving structural engineering curriculum through architectural inclusion.

Eliane BucherView profile

Professor

• Digital Labor
• Algorithmic Management
• Gig Economy
• +7 more

Eliane Bucher is a Professor at the School of Communication and Culture at BI Norwegian Business School, specializing in digital labor practices and platform governance. Her research centers on algorithmic management, gig economy dynamics, and digital media literacy within contemporary work environments. Previously, she completed her doctorate at the University of St. Gallen and conducted research at Harvard University's Berkman Center and Stanford's SCANCOR. Her research interests focus on digital labor practices , algorithmic management , digital platform governance , and online community dynamics . She investigates how workers navigate algorithmic control systems, construct identity in gig work environments, and develop voice mechanisms within digital platforms. Her work often examines the psychological and social implications of platform-mediated work, including worker alienation, emotional labor, and mattering perceptions in digital contexts. Bucher's publication record reveals a clear trajectory exploring the intersection of technology and labor relations. Her recent work (2023-2025) increasingly focuses on multimodal identity construction , algorithmic paranoia , and digital voice formation in platform ecosystems. She employs mixed-method approaches including visual methods, qualitative interviews, and large-scale text analysis of community forums to examine worker experiences across platforms like Upwork, Fiverr, and Airbnb. Her research consistently highlights worker agency within constrained algorithmic systems and the emergent social structures within digital labor markets. Bucher actively investigates worker responses to algorithmic management, including anticipatory compliance behaviors and identity work strategies that help workers navigate platform constraints. Her findings contribute to understanding how digital labor platforms reshape traditional employment relationships and worker organizing possibilities.

Janken Camilla SæbøView profile

Assistant Professor

• Learning Environment
• Behavioral Research in Education
• Social and Emotional Learning
• +6 more

Janken Camilla Sæbø is an Assistant Professor at the University of Stavanger, affiliated with the Faculty of Arts and Education and the Norwegian Centre for Learning Environment and Behavioral Research in Education. Her work centers on improving educational practices, particularly in early childhood settings, through evidence-based interventions. Research Interests: Her primary areas include social and emotional learning (SEL), learning environments, behavioral research in education, and early childhood education and care (ECEC). She investigates how pedagogical tools like videos can enhance children's engagement and emotional development, and contributes to large-scale projects such as SELMA, which explores systemic SEL implementation in kindergartens. Recent Research Trends: Her publications from 2022–2025 reveal a strong focus on Nordic models of assessment, teacher motivation in development work, and the role of pedagogical leadership in collective learning processes. The research combines qualitative insights with practical implementation strategies in municipal and kindergarten settings. Scientific Contributions: While no formal awards are listed, her extensive publication record in journals and policy-oriented reports demonstrates significant scholarly impact. Key works include studies on formative assessment in ECEC and comprehensive analyses of early intervention frameworks. Advising and Grants: There is no public information available about graduate students she may advise or specific grants she has led. However, her active role in collaborative research projects suggests involvement in funded initiatives, particularly those involving municipal partnerships and national educational development programs. Labs and Teams: She is a key member of the Norwegian Centre for Learning Environment and Behavioral Research in Education, a multidisciplinary research environment focused on improving educational outcomes through behavioral and environmental insights. Her collaborations span across institutions and include researchers from psychology, education, and public health disciplines.