Idelfonso Nogueira is an Associate Professor in the Department of Chemical Engineering at NTNU. His research focuses on integrating artificial intelligence, advanced control systems, and digitalization to address industrial challenges, particularly in chemical processes and product development. He leads the AiP²S² framework, emphasizing synergies between AI and traditional engineering methods. Education: PhD in Chemical and Biological Engineering (University of Porto, 2018), Visiting Researcher at Tampere University of Technology (2016–2018), and multiple master’s degrees from Brazilian and Portuguese institutions. Research Interests: Process optimization using AI, hybrid modeling, digital twins, and Industry 4.0/5.0 applications. Collaborations span universities, institutes, and industries globally. Teaching focuses on preparing engineers for modern industrial demands. Publications: Over 60 manuscripts, with 70% in Q1 journals (e.g., Chemical Engineering Science , Computers and Chemical Engineering ). Key areas include pressure swing adsorption, machine learning for process control, and fragrance molecule design. Grants/Advising: Active in parameter estimation, process modeling, and renewable energy projects. No explicit student advising list provided. Labs/Teams: Engages in AI-driven process systems engineering, digital twin development, and sustainable technology initiatives.
Anya Helene Bagge is an Associate Professor in the Department of Informatics at the University of Bergen, where she is a researcher at the Bergen Language Design Laboratory. Her work focuses on programming languages and software language engineering, with strong ties to education and tool development. Research Interests: Programming language design and implementation Software language engineering Semantics of programming languages Domain-specific languages and language extensions Program transformation using Rascal, MPL, and Stratego/XT Aspect-oriented programming, especially Domain-Specific Aspect Languages Her recent publications reflect a consistent focus on software language engineering, refactoring, microservice security, and programming education. Themes across her work include language design, program analysis, and the development of educational tools and methodologies. Scientific Awards: The Realist Committee's Teaching Award 2016/17 Lecturer of the Year in Computer Science (Spring 2015) Anya Bagge actively supervises students, including PhD and Master’s candidates such as Tero Hasu, Kristoffer Haugsbakk, and Nina Andersen. She has been involved in numerous academic activities, including organizing the OOPSLE workshop and serving on program committees for conferences like SLE, HILT, and WCRE. She has also taught core courses including INF101, INF225, and INF328, demonstrating a strong commitment to both research and teaching. Labs and Teams: She is affiliated with the Bergen Language Design Laboratory , collaborating with researchers such as Magne Haveraaen, Eva Burrows, and Tero Hasu.
Line Kolås is a researcher at Nord University , specializing in E-learning , ICT in Education , and Digital Pedagogy . Her work focuses on integrating infographics , gamification , and collaborative tools into teaching. Key research areas: E-learning, Educational Technology, ICT, Gamification, Infographics 2024: Contributed to Innovation in Teaching of Research Methodology Excellence Awards Publications highlight trends in student-driven research , interactive learning , and digital tools for education. Her 2023 work explores artificial intelligence and conflict management games in teaching. Scientific awards include the Innovation in Teaching of Research Methodology Excellence Award 2024
Lilith G. Rüschenpöhler serves as Associate Professor for Chemistry Education at the Norwegian University of Science and Technology (NTNU) since 2023. Prior to this, she held a Margarete von Wrangell fellowship at Ludwigsburg University of Education (2021-2023) and worked as a part-time secondary school teacher in Germany (2021-2022). Research Interests: Decolonizing science education in European contexts Multilingual science learning strategies Science capital theory and application Generative AI integration in science instruction Philosophical foundations of science education Her recent publications focus on cultural comparisons in chemistry education (Germany/China), equity-focused teaching approaches, and vocational orientation tools. She has developed card games for science career exploration and conducted extensive research on self-concept formation in chemistry students. Scientific Awards: Margarete von Wrangell fellowship (2021-2023) As a trained secondary school teacher with expertise in chemistry and French as a foreign language, she has taught in four languages and developed innovative teaching materials including international science capital metrics and planetary boundaries lesson plans.
Michail Giannakos is a Professor of Interaction Design and Learning Technologies at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He serves as Head of the Learner-Computer Interaction Lab and has held visiting positions including EAISI Visiting Professor at Eindhoven University of Technology (2023-2024) and Honorary Professor at UCL Knowledge Lab (2022-2023). Previously, he was Associate Professor (2017-2020) and Senior Lecturer (2014-2017) at NTNU, and Assistant Professor at Old Dominion University (2013-2014). Dr. Giannakos's research focuses on the design and study of emerging technologies in online and hybrid education settings, with particular emphasis on student and instructor experiences. His work spans Human-Computer Interaction , Learning Analytics , Learning Technologies , and User Experience Research . He has co-authored over 150 peer-reviewed publications in leading journals including Computers & Education, Computers in Human Behavior, IEEE TLT, and ACM TOCE. His recent publications reveal a strong trend toward multimodal learning analytics, embodied interaction in educational contexts, and the application of generative AI in education. The research increasingly integrates physiological and cognitive measurements with traditional learning data to create more comprehensive educational insights. There's also a noticeable focus on STEM education, particularly in mathematics learning through embodied and multimodal approaches. EAISI Visiting Professor, Eindhoven University of Technology (2023) Honorary Professor, UCL Knowledge Lab, University College London (2022) IDC Best Paper Award (2022) ITiCSE Top 5 papers in 25 Years Award (2020) RCN Young Research Talent grant (2016) ERCIM "Alain Bensoussan" Fellow (2013) Outstanding Academic Award, NTNU (2017-2020) Dr. Giannakos actively supervises multiple PhD students and postdocs, including Giulia Cosentino and Andrew Pulsipher as main supervisees. He has successfully mentored numerous PhD candidates to completion, many of whom have gone on to academic positions. His research is supported by substantial grants from diverse sources including the European Commission (Horizon Europe, Horizon 2020), Research Council of Norway, US-NSF, Microsoft Research, and DAAD. Current major projects include STEAM Learning Ecologies (Horizon Europe, 2022-2025) and SURROUNDEDbySCIENCE (Horizon 2020, 2021-2025). As Head of the Learner-Computer Interaction Lab, Dr. Giannakos leads a multidisciplinary team exploring how emerging technologies can enhance learning experiences. The lab focuses on multimodal data collection, embodied interaction design, and the development of intelligent learning environments that adapt to user needs. Current work emphasizes the integration of generative AI with multimodal analytics to create more responsive educational systems.
Dina Margrethe Aspen is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , Faculty of Economics and Management, Department of International Business. She leads the Sustainability Analytics research arena and specializes in data-driven decision support systems for sustainable development. Her work combines data analysis , sustainability analysis , and decision analysis through collaborations between the Department of International Business and the Department of ICT and Natural Sciences at NTNU in Ålesund. Her research focuses on integrated sustainability appraisals in transport and mobility, production, pollution prevention, and waste management, particularly through projects like Twin Fjord , Smart Plan , and SUSTRANS that address sustainable mobility and environmental policy in UNESCO heritage sites. Recent publications highlight trends in urban digital twins , transportation decision modeling , and multi-criteria analysis for sustainable systems . She has contributed to journals such as European Management Journal , IEEE Access , and Sustainability , emphasizing data-driven sustainability and participatory planning .
Merethe Frøyland is a Professor at the Science Center (Naturfagsenteret) within the Faculty of Mathematics and Natural Sciences (MN-fakultetet) at the University of Oslo (UiO). With a background in geology and a PhD in science education, she specializes in science didactics , geodidactics , and informal learning environments . Her work focuses on integrating other learning arenas (e.g., fieldwork, museums) into science teaching and improving teacher education through continuing professional development programs.
Eli Renate Grüner is a Professor at the University of Bergen's Department of Physics and Technology, with joint affiliations at Haukeland University Hospital. Her research focuses on advancing medical imaging techniques, particularly MRI-based methods for studying brain function, perfusion dynamics, and neurodegenerative disorders. She collaborates extensively with clinical researchers to translate imaging innovations into diagnostic applications. Grüner's interdisciplinary work bridges physics, neuroscience, and clinical medicine, developing analytical tools to quantify cerebral blood flow, neurotransmitter systems, and metabolic processes. Her neuroimaging research examines brain network dynamics, alcohol's effects on cognition, and pathological mechanisms in conditions like dementia and Tourette syndrome. Her publications demonstrate expertise in perfusion imaging algorithms, fMRI analysis, and spectroscopic methods. Recent work includes developing visualization tools for spectroscopy data and investigating network switching during cognitive processing.
Gaute Einevoll is a Professor in the Department of Physics at the Norwegian University of Life Sciences (NMBU), Faculty of Science and Technology. His academic work bridges the disciplines of physics and neuroscience, with a strong focus on computational and mathematical modeling of brain function. Position: Professor of Physics Institution: Norwegian University of Life Sciences (NMBU) Department: Department of Physics Research Focus: Brain Physics, Computational Neuroscience His research interests lie at the intersection of physics and neuroscience, particularly in understanding the biophysical mechanisms underlying neural signals such as local field potentials (LFPs), EEG, and spike trains. He develops and applies mathematical models to interpret experimental data from multielectrode arrays and laminar recordings. His work includes modeling cortical circuits, thalamocortical networks, and the transition from grid cells to place cells in spatial navigation. He also investigates the biophysical basis of signal propagation and filtering in neural tissue. The 15 most recent publications reflect a consistent focus on computational modeling of neural activity, with strong emphasis on biophysical realism, data analysis methods, and tool development. Articles span topics from single-neuron contributions to EEG, astrocytic ion dynamics, and large-scale neural recordings. Keywords across these works include Computational Neuroscience, Biophysics, Neural Modeling, and Electrophysiology, with subfields covering LFPs, spike-train analysis, cortical circuits, and network dynamics. A recurring theme is the development of analytical and computational tools to bridge experimental data with theoretical understanding. No scientific awards are mentioned in the provided text. Gaute Einevoll has supervised research and taught courses such as FYS388/488 Computational Neuroscience and FYS102 Thermal Physics and Electromagnetism. He has contributed to major collaborative efforts like the Human Brain Project. While specific grants are not listed, his extensive publication record in high-impact journals suggests sustained research funding. He has also authored educational materials, including a textbook on physics and an edited volume on natural sciences. He is associated with research groups focused on computational neuroscience and brain physics. He has developed the LFPy tool for simulating extracellular potentials, indicating leadership in neuroinformatics tool development. His team likely involves interdisciplinary collaboration between physicists, neuroscientists, and computational biologists working on modeling neural systems.
Michail (Michalis) Giannakos is a Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU) and an Adjunct Professor at the Department of Information Systems, University of Agder (UiA) . He serves as Head of the Learner-Computer Interaction Lab at NTNU. His career spans multiple institutions, including roles as EAISI Visiting Professor (TU/e, Netherlands), Honorary Professor (UCL, UK), Associate Professor, Senior Lecturer, and Assistant Professor. Giannakos' research focuses on emerging technologies in online/hybrid education , with emphasis on student/instructor experiences, gamification , STEM learning , augmented reality , and multimodal learning analytics . His recent publications explore generative AI for educational feedback , embodied mathematics , and AR applications for autistic children . 2024–present: Adjunct Professor, UiA 2020–present: Professor/Head, NTNU 2023–2024: EAISI Visiting Professor, TU/e 2022–2023: Honorary Professor, UCL He has received prestigious awards, including the RCN Young Research Talents grant , ERCIM Fellowship , and Outstanding Academic Award (NTNU) . His funded projects include AutoTRUST (Horizon Europe), COMnPLAY-Science (Horizon 2020), and Surrounded by Science (Horizon 2020). Giannakos serves as Editor-in-Chief for the International Journal of Child-Computer Interaction and sits on editorial boards of IEEE Transactions on Learning Technologies , Behaviour & Information Technology , and others. He has reviewed for the European Commission and US-NSF .
Jens Norrman is a Senior Engineer at the Ugelstad Laboratory, Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU). He holds a Master's and PhD in Physical Chemistry from the University of Lund, Sweden, with dissertation work on polymer-surfactant interactions and water swelling of polymer-surfactant coaservates. Currently, he serves as group manager for the Ugelstad Laboratory, responsible for laboratory administration and instrumentation operations (DSC, rheometer, QCM-D). PhD in Physical Chemistry from Lund University Master in Physical Chemistry from Lund University His research focuses on colloid and physical chemistry applications in petroleum systems, including wax inhibition mechanisms, nanoparticle adsorption, and CO2 absorption in liquid crystals. His work integrates experimental and modeling approaches to address flow assurance challenges in oil production through polymer and nanoparticle additives. Recent publications highlight multidisciplinary contributions spanning wax inhibitor molecular weight effects (2021), surfactant flooding modeling (2020), CO2-liquid crystal phase behavior (2019), and biopolymer viability in enhanced oil recovery (2016). Key themes include polymer-surfactant interactions, colloidal system stability, and rheological behavior of wax-oil systems. As laboratory contact for external users, he bridges academic research with industry applications through his work on wax problems in petroleum under Equinor's VISTA research program. His technical responsibilities include maintaining advanced analytical instruments crucial for chemical engineering research.
Anna Mavroudi is an Associate Professor at the Department of Education , University of Oslo , with a focus on ICT in Learning , Learning Analytics , and University Pedagogy . She previously held positions at Norwegian University of Science and Technology (NTNU) and Royal Institute of Technology (KTH), Sweden. Education: PhD in Technology-Enhanced Learning (Open University of Cyprus, 2009–2015) Awards: Best Paper at ICALT (2018) and EDUCON (2018) Research Interests: Learning Analytics, Adaptive Learning, Ethical AI in Education Her recent publications address AI ethics , synthetic data generation , and higher education pedagogy . She contributes to STEM education , digital literacy , and teacher professional development through empirical studies and design frameworks. Projects: BraStart, PATHWISE, Use of Digital Technology in Higher Education She is affiliated with the Living and Learning in the Digital Age (LiDA) research group and serves as a peer reviewer for journals like Nordic Journal of Digital Literacy and Interactive Learning Environments .
Fredrik Sundt Breien is an Associate Professor at SLATE (Sustainable Learning and Technology Environment) at the University of Bergen. His research focuses on game-based learning, narrative design in digital environments, and mixed-reality applications in education. He has contributed to frameworks like eLuna for collaborative STEAM education and explored narrative structures in serious games. His work integrates multidisciplinary approaches, combining computer science, educational psychology, and design principles. Key areas include usability of 3D criminal archives in AR, co-design methodologies for learning trails, and the impact of linear vs. non-linear narratives on educational outcomes. Breien's publications span journals like Frontiers in Education and Springer Nature, addressing topics such as engagement metrics in digital learning and cognitive modeling in game-based systems. His research emphasizes practical tools for educators and measurable learning outcomes through innovative technologies.
Ines Heiland is a Professor at the Department of Biomedicine, Faculty of Medicine, University of Bergen. Her research integrates systems biology and computational modeling to investigate metabolic networks, with a focus on NAD and tryptophan metabolism, mitochondrial function, and circadian regulation. University: University of Bergen School: Faculty of Medicine Department: Department of Biomedicine Position: Professor Email: i.heiland@uib.no Her educational background is not explicitly detailed in the provided texts, but her extensive research and supervisory roles indicate a strong academic foundation in systems biology and molecular metabolism. Ines Heiland's research centers on understanding how metabolic networks regulate cellular health and disease. She employs computational models to study NAD homeostasis, tryptophan catabolism, and their roles in aging, cancer, and neurodegenerative conditions. Her work emphasizes the integration of multi-omics data and kinetic modeling to uncover regulatory mechanisms in metabolic pathways. The recent articles highlight a consistent focus on NAD metabolism, metabolic modeling, and the interplay between metabolism and epigenetics. Themes include the evolution of metabolic pathways, subcellular compartmentation of metabolites, and the development of bioinformatics tools for metabolic analysis. Her publications span from algorithm development (e.g., GEMCAT) to physiological insights in aging and disease. She has contributed to editorial and review work, such as the 2020 editorial on systems biology challenges and the 2015 review on NAD metabolism dynamics, underscoring her leadership in the field. Supervised PhD student: Mathias Bockwoldt Ines Heiland has been involved in collaborative research projects, often in partnership with institutions like UiT The Arctic University of Norway. She participates in networks such as NORBIS and BioCat, contributing to interdisciplinary efforts in biotechnology and systems biology. Her work involves both theoretical modeling and experimental validation, particularly in the context of marine biomass conversion and Arctic bioplastics.
Morgan Konnestad is an Associate Professor in the Department of Information and Communication Technology at the University of Agder's Faculty of Technology and Natural Sciences. He has been employed full-time at UiA since January 1, 1989, and holds a Master's degree in Marine Technology from NTNU with a focus on Computer-Aided Design and additional coursework from the ICT department. His career spans over three decades of dedicated service to the university, with significant contributions to multimedia education and technology. Education Background: Master of Science in Marine Technology from NTNU (Computer-Aided Design focus) Additional coursework from NTNU's Department of ICT University Pedagogics Program completed at UiA in 2006 Konnestad's research interests center on visual computing technologies and their educational applications. He has been responsible for Computer Graphics and CAD courses since joining UiA, later expanding into Video, DVD/Blu-ray Authoring, and e-learning material production. His work demonstrates a consistent focus on practical applications of digital media technologies in educational contexts, with particular emphasis on motion capture systems, 3D visualization, and emerging AR/VR technologies. He has developed numerous multimedia production techniques specifically tailored for academic use and student learning. Analysis of his recent publications (2014-2023) reveals a strong trajectory toward immersive technologies and collaborative learning environments. His work increasingly focuses on motion capture applications, AR/VR implementations in education, and interactive systems for specialized training. The publications show a clear evolution from technical demonstrations of multimedia capabilities toward research-oriented investigations of how these technologies enhance learning outcomes and professional training, particularly in emergency management contexts. Academic Supervision: Assistant supervisor for Maurice Isabwe's PhD completed in 2013 Konnestad actively contributes to the university's outreach efforts through numerous presentations at open house events, high schools, and educational institutions. He has been instrumental in demonstrating UiA's Motion Capture Laboratory capabilities, providing hands-on experiences that showcase the practical applications of multimedia technology. His work bridges academic research with real-world implementation, particularly through collaborations with regional businesses and emergency management stakeholders. Laboratory Focus: Konnestad has been a driving force behind UiA's Motion Capture Laboratory, developing demonstration protocols and practical applications that support both educational and research objectives. His work with this facility has enabled innovative approaches to multimedia production, 3D visualization, and interactive learning environments.
