جست‌وجوی استاد و پژوهشگر

• Computational fluid dynamics
• Multiphase flow
• Aerodynamics
• +۱ مورد دیگر

Knut Erik Teigen Giljarhus is an Associate Professor at the University of Stavanger's Faculty of Science and Technology within the Department of Mechanical and Structural Engineering and Materials Science. Appointed to a full-time faculty position in 2018 after transitioning from industry roles, he currently serves as Study Program Leader for Mechanical Engineering programs since 2020. Education: PhD from the Norwegian University of Science and Technology (NTNU) Research Interests: His primary expertise lies in Computational Fluid Dynamics (CFD) , with significant contributions to multiphase flow systems (oil/water separation, annular displacements), urban aerodynamics (pedestrian wind comfort, building interactions), and biomedical fluid applications (blood pumps, vascular flow). He employs advanced numerical methods including lattice Boltzmann modeling, large eddy simulations, and machine learning integration for rapid wind prediction. Publication Trends: Analysis of his 2024-2025 output reveals strategic expansion into ML-enhanced CFD for urban wind assessment while maintaining core multiphase flow research. Key themes include non-Newtonian fluid behavior in medical contexts, density-unstable displacement mechanisms, and aerodynamic optimization for sports engineering—all published in high-impact journals like Physics of Fluids and Building and Environment . Scientific Awards: No awards or fellowships were documented in the provided materials Advising and Grants: Formal advisees are not listed in the source material No research grants or funding sources are explicitly mentioned Labs and Teams: As Study Program Leader, he directs mechanical engineering curriculum development at the University of Stavanger. His research leverages the Department's computational facilities and collaborates with SINTEF Energy Research (evidenced in publications) alongside international partners in biomedical engineering and urban wind studies.

Stefan Grunerمشاهده پروفایل

استاد

• Formal Methods
• Software Engineering
• Model Checking
• +۹ مورد دیگر

Stefan Gruner is a Professor in the Department of Computer Science, Faculty of Engineering, Built Environment and Information Technology, at the University of Pretoria, South Africa. He holds advanced degrees in Informatics (PhD, MSc) and Philosophy (MA), reflecting his interdisciplinary research that bridges formal software engineering, digital forensics, and the philosophy of technology. His work is widely published in international journals and conferences, and he is deeply involved in academic service, including supervision, examination, and program committees. Education: MA in Philosophy, Germany, 2010 PhD in Informatics, RWTH Aachen, Germany, 1999 MSc (Dipl.-Inform.) in Informatics, Germany, 1996 His research interests center on Formal Methods , Software Engineering , and the Philosophy of Computer Science . He has made significant contributions to parameterized and three-valued model checking, formal methods for railway systems, and the scientific foundations of digital forensics. His recent work explores historical semantics in software architecture and the philosophical underpinnings of informatics. His publications from the last few years reveal a strong trend towards formal verification, safety-critical systems, and the epistemological aspects of digital investigation and software engineering. Scientific Recognition: Biographic entry in Who's Who in the World (2010 edition) Member of the selection committee for the Annual Best Dissertation Award (EAPLS) Stefan Gruner is an active advisor and supervisor, having guided numerous MSc and PhD students to completion. He has secured research funding from the South African National Research Foundation (NRF) and international partners for projects on model-driven development, CSP protocol verification, and visualization of distributed algorithms. His academic service is extensive, including roles as program chair for workshops like FM+AM and SEFM, editor for conference proceedings, and external examiner for multiple universities. He has also been a visiting researcher at institutions in Bordeaux and Swansea. He was a central organizer of the Distributed Systems Research Group at the University of Pretoria and has fostered international collaborations, particularly within the formal methods and software engineering communities.

Étienne Andréمشاهده پروفایل

استاد

• Formal Methods
• Model Checking
• Verification of Concurrent Systems
• +۱۲ مورد دیگر

Étienne André is a Full Professor at Université Sorbonne Paris Nord , affiliated with the Institut Galilée and the Laboratoire d’Informatique de Paris Nord (LIPN) . He leads the SAFER research team and has previously held professorial positions at Université de Lorraine . His work bridges formal verification and real-world applications in cyber-physical and distributed systems. PhD from ENS Cachan (2010) Postdoc at National University of Singapore (2010–2011) Associate Professor at Université Sorbonne Paris Nord (2011–2019) Full Professor at Université de Lorraine (2019–2022) Full Professor at Université Sorbonne Paris Nord (2022–present) His research centers on formal verification of concurrent and real-time systems, with a focus on parametric timed model-checking . He investigates how systems behave under timing uncertainty and develops methods to synthesize safe timing parameters. His work extends to monitoring cyber-physical systems and detecting side-channel attacks using quantitative formal methods. He is a strong advocate for sustainable research , minimizing carbon footprint through reduced air travel. The recent publications reflect a consistent trajectory in parametric verification , real-time systems , and model checking , with increasing emphasis on distributed and probabilistic approaches. His tools like IMITATOR and InSPEQTor enable practical application in industrial and academic settings. PhD Award, Académie Lorraine des Sciences (2024) Étienne André has supervised several PhD students and postdoctoral researchers. He leads major research projects such as ProMiS , MoCcA , and PACS , funded by ANR, PHC, and other international agencies. His collaborative work spans France, Singapore, Poland, and Japan. He is deeply involved in the formal methods community, serving on steering committees for SynCoP and Petri Nets , and organizing conferences such as ETAPS and ICFEM . He has participated in over 30 program committees, including FORTE , TACAS , and HSCC .

Kyungmin Baeمشاهده پروفایل

دانشیار

• Formal Methods
• Software Verification
• Model Checking
• +۱۲ مورد دیگر

Kyungmin Bae is an Associate Professor in the Department of Computer Science and Engineering at Pohang University of Science and Technology (POSTECH), where he leads the Software Verification Laboratory. His research focuses on developing formal methods to ensure the safety, reliability, and security of software, cyber-physical, and AI-based systems. His research interests include formal methods, software verification, model checking, automated reasoning, computational logic, hybrid and cyber-physical systems, and secure software development. He develops scalable and precise automatic analysis techniques using model checking, SMT solving, and rewriting logic. The analysis of his recent publications reveals a strong focus on formal verification of hybrid and cyber-physical systems using Signal Temporal Logic (STL), Maude, and SMT solvers. His work emphasizes robust model checking, parameter synthesis, and formal modeling in AADL, particularly for safety-critical applications such as UAVs and industrial control systems. He frequently contributes to top-tier venues like CAV, POPL, FM, and ASE. Scientific Awards: Best Paper Award, FACS, 2017 Feng Chen Memorial Award, UIUC, 2013 Chirag Foundation Fellowship, UIUC, 2007–2008 Doctoral Study Scholarship, Korea Foundation for Advanced Studies, 2007 He has served as a program committee chair for WRLA 2022, FormaliSE 2020, and FACS 2018, and as a committee member for major conferences including CAV, FSCD, ATVA, ICTAC, SPIN, APSEC, SEKE, APLAS, ICSE-SEIP, TASE, SEFM, WRLA, FTSCS, and TTCS. He has also been an invited speaker at FTSCS 2023 and ISR 2018. He teaches courses such as Theory of Computation, Software Design Methods, Software Verification, and Logic in Computer Science. He leads the Software Verification Laboratory, which focuses on developing formal tools like stlMC, Maude-SE, and HybridSynchAADL for analyzing hybrid and distributed systems. The lab actively contributes to both theoretical foundations and practical applications of formal methods in real-world systems.

Kari Bjørnaasمشاهده پروفایل

استادیار

• Economics
• Innovation Management
• Technology Policy
• +۳ مورد دیگر

Kari Bjørnaas is an Assistant Professor at the School of Economics, Innovation and Technology (EIT) within Kristiania University of Applied Sciences. Their academic focus revolves around interdisciplinary topics at the intersection of economics, technological advancement, and organizational innovation. While specific research projects are not detailed in the provided text, their affiliation with the School of Economics, Innovation and Technology suggests a specialization in areas such as digital transformation, innovation ecosystems, and technology-driven economic models. No specific awards, grants, or advising records are mentioned in the available information. Contact can be established via email .

Annette Kallevigمشاهده پروفایل

دانشیار

• Digital Marketing
• Marketing Communication
• Creativity
• +۶ مورد دیگر

Annette Kallevig is an Associate Professor at Kristiania University of Applied Sciences, affiliated with the Department of Marketing in the School of Communication, Leadership and Marketing. She specializes in digital marketing communication, creativity, and data-driven marketing strategies. Prior to her academic role, she held diverse industry positions including art director, consultant, and entrepreneur across advertising and digital agencies in Norway and the U.S. Her research focuses on integrating creativity with digital strategies, including influencer collaboration, omnichannel marketing, and sustainability in high-end fashion. Recent work explores balancing data analytics with creative processes in agencies and maintaining brand coherence across platforms. No scientific awards are explicitly listed. Her professional experience spans roles such as marketing manager, instructor, and advisor, reflecting her industry-academia bridge. She teaches courses in digital marketing and practice, emphasizing practical application of theoretical concepts.

John Erik Andreassenمشاهده پروفایل

مدرس ارشد

• Innovation Management
• Strategic Financial Management
• Organizational Development
• +۳ مورد دیگر

John Erik Andreassen is a Senior Lecturer in Financial Management at the Department of Economics and Business Administration, Høgskolen i Oslo og Akershus (HiOA/HIOF), with affiliations in the Department of Economics, Innovation and Society. He holds a Master of Science and MM from BI Norwegian Business School, and an MBA from Henley Business School. His career includes roles as Finance Director at Posten Norge and CEO at Kreditkassen, alongside consulting for Innovation Norway. Research focuses on innovation management, strategic financial management, and active learning methodologies. Notable work includes studies on employee-driven innovation in regional firms and cross-border educational collaborations with Southern Federal University (2007–2017) and St. Petersburg State Polytechnic University. He was a Visiting Professor at Southern Federal University (2012–2019) and serves on the organizing committee for the annual 'System Analysis in Design and Management' conference. Publications span innovation investment efficiency, team learning impacts, and comparative analyses of regional business models. Awards include the 2016 SGEM Best Presentation Award. Active in research groups like Business Development and Governance at HiØ, his work integrates organizational development with pedagogical innovation in STEM education.

Geir Conrad Tufteمشاهده پروفایل

دانشیار

• Welfare models
• Public health
• Local democracy
• +۳ مورد دیگر

Geir Conrad Tufte is an Associate Professor at the Norwegian University of Applied Sciences (HiOA), based in Halden. He is affiliated with the Department of Economics, Innovation and Society. His research focuses on welfare models, public health, local democracy, housing policy, and regional development. Tufte has extensive experience in political science education (1992–2015) and prior roles in municipal administration (Moss and Bodø municipalities) and Husbanken (Norwegian Housing Bank). His work emphasizes cross-national comparisons, particularly in housing policy for refugees, elderly care ethics in Baltic-Nordic contexts, and historical analysis of regional development policies in Norway. He collaborates with institutions like Hebei Geo University (China) and Miguel Hernández University (Spain). Key publications include analyses of Norwegian state-driven regional policies, comparative studies on social housing, and reviews of bureaucratic governance models in local administration. Current research explores intangible capital in housing markets and the socio-economic impacts of active state intervention. Education Background: Political science teaching career at HiOA spanning 23 years (1992–2015), building expertise in public policy education. Earlier roles in municipal governance provided practical insights into local democracy mechanisms. Research Trends: Articles consistently address housing policy innovation, regional development disparities, and welfare system effectiveness. Recent work highlights Norway’s historical regional development strategies and cross-border refugee housing solutions. Professional Activities: Engages in policy commentary for local media (e.g., Moss Avis), public lectures on governance models, and collaborative research projects with international partners focusing on health equity and urban development challenges.

Magnus Nohrمشاهده پروفایل

دانشیار

• Artificial Intelligence in Education
• MOOCs (Massive Open Online Courses)
• Digital Pedagogy
• +۳ مورد دیگر

Magnus Nohr is an Associate Professor at the Department of Education, ICT and Learning (PIL) at Østfold University College. He has been affiliated with the institution since 1996, focusing on ICT integration in education, MOOC design, and active learning strategies. His research emphasizes AI in education, video-based teaching, and universal design principles. Education: Master's degree in ICT-supported learning from Oslo and Akershus University College (2014). His thesis on video-based teaching in MOOCs has been widely accessed, with over 5,000 downloads. Research Interests: Magnus specializes in leveraging technology to enhance learning accessibility, particularly for students with dyslexia. His work includes developing the HIOF MOOC model, renowned for its low dropout rates and high ECTS production. He is a prominent figure in digital pedagogy, with over 500,000 views on his educational YouTube videos. Publications: Recent work focuses on AI chatbots in education, MOOC assessment strategies, and video taxonomy frameworks. His 2025 studies on AI chatbots highlight transformative impacts on online learning. Awards: Recipient of 'Årets Nettpedagog 2022' for contributions to digital pedagogy. Teaching: Courses include 'ICT for Teachers' and 'Introduction to ICT', emphasizing practical digital skills for educators. Labs/Teams: Leads initiatives on AI integration and universal design, collaborating with institutions like the Norwegian Broadcasting Corporation (NRK) for educational outreach.

Svein Olav Glesaaen Nybergمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Probability Theory
• Stochastic Processes
• +۷ مورد دیگر

Svein Olav Glesaaen Nyberg is an Associate Professor at the Department of Engineering Sciences , University of Agder , Norway. He has been affiliated with the university since 2003, contributing to research and education in Bayesian statistics, probability theory, and stochastic processes. His work spans interdisciplinary domains including Artificial Intelligence , Biomechatronics , and Collaborative Robotics , alongside Physics and Applied Mathematics . Education: PhD (University of Oslo, 1996), MSc (University of Oslo, 1991). Prior Roles: Postdoc at University of Edinburgh (1996-98), Senior Knowledge Engineer at Computas AS (1998-2002), and teaching positions at Volda University College (2002-03). His research integrates Bayesian statistical inference with practical applications in energy systems, robotics, and materials science. Recent work includes modeling human trajectories in industrial settings using Ornstein-Uhlenbeck processes , EEG-EMG signal fusion for rehabilitation robotics, and Bayesian analysis of power grid stability . He has also published on ecological trends in Norwegian smooth snakes, linking climate change to reproductive behaviors. Scientific Awards and recognitions include authoring the textbook The Bayesian Way: Introductory Statistics for Economists and Engineers (2018) and its Norwegian counterpart Statistikk - en bayesiansk tilnærming (2016). He holds a certificate in university pedagogy (UniPed, 2009).

Ilias Pappasمشاهده پروفایل

استاد

• Data Science
• Digital Transformation
• Human-Centered AI
• +۹ مورد دیگر

Ilias Pappas is a Full Professor in the Department of Information Systems at the University of Agder (UiA), Norway, and also holds a Full Professor position at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). He leads the Human-Centred AI (HCAI) research group, focusing on human-centered AI, data science, digital transformation, and IT adoption. His work integrates fuzzy-set Qualitative Comparative Analysis (fsQCA) digital innovation public sector applications . Pappas serves as Associate Editor for multiple journals including International Journal of Information Management and Information Systems Frontiers , and has been Guest Editor for special issues on AI, Big Data, and Digital Transformation. He chairs tracks at major conferences like ECIS and AMCIS , and contributes to the IFIP Working Group 6.11 on digital society. His scientific contributions include over 150 publications, with recent work exploring AI transparency in public services employee-driven digital innovation responsible AI frameworks fsQCA applications across journals like European Journal of Information Systems and British Journal of Management . As a ERCIM and Marie Skłodowska-Curie fellow , Pappas leads EU-funded projects (Horizon 2020/2022) and Norwegian Research Council initiatives. His research spans AI ethics and fairness digital marketing user experience design social innovation healthcare digitalization with a focus on practical implementation through action design research and configurational methods.

Rotem Shneorمشاهده پروفایل

استاد

• Crowdfunding Behavior and Motivations
• Internet Marketing
• International Marketing
• +۳ مورد دیگر

Rotem Shneor is a Professor at the University of Agder in Norway, affiliated with the School of Business and Law and leading the Crowdfunding Research Center . He holds a PhD in International Management and a Master's in International Business. Research Focus: Crowdfunding behavior, entrepreneurial finance, internet marketing, and cognitive aspects of entrepreneurship. Editorial Roles: Editor-in-Chief of the Journal of Alternative Finance since 2023; co-edited Advances in Crowdfunding: Research and Practice and special issues for the Baltic Journal of Management. Teaching: Courses in entrepreneurship, crowdfunding, international marketing, and consumer behavior at bachelor’s, master’s, and PhD levels. Industry Collaboration: Works with crowdfunding platforms and FinTech actors globally. Recent Publications span crowdfunding success factors, gender differences in contribution intentions, trust-based marketing frameworks, and cross-country comparative studies. His work appears in journals like Journal of Business Research , Decision Support Systems , and Venture Capital . Media Engagement: Regular commentator on crowdfunding trends in Nordic, European, and global contexts, with contributions to newspapers ( fvn.no , e24.no ) and radio.

Henrik Kalischمشاهده پروفایل

استاد

• Applied Mathematics
• Fluid Mechanics
• Partial Differential Equations
• +۷ مورد دیگر

Henrik Kalisch is a Professor of Applied Mathematics at the Department of Mathematics, University of Bergen, where he also serves as Deputy Head of Department. His research focuses on mathematical modeling of nearshore processes, wave breaking, surfzone circulation, and wave hazards in coastal zones. Dr. Kalisch received his Ph.D. in 2001 from the University of Texas at Austin. His academic career has established him as a leading researcher in fluid mechanics, partial differential equations, and numerical analysis, with over one hundred scientific publications to his name. Professor Kalisch's research spans several key areas in applied mathematics and fluid dynamics. His work on surface water waves investigates fluid particle motion, wave breaking mechanisms, wave shoaling processes, and the influence of vorticity on wave dynamics. In the domain of wave-ice interaction , he studies moving loads on ice sheets, marginal ice zone dynamics, and interactions with internal waves. His contributions to hyperbolic conservation laws include work on singular solutions and their physical interpretation, while his research on mathematical properties of model equations examines existence, uniqueness, and stability of traveling waves and soliton interactions. His research has practical applications in wave energy devices, tidal energy, carbon storage, and ice road safety. His recent publications reveal a strong focus on developing and analyzing mathematical models for wave phenomena, particularly Boussinesq-type models, KdV equations, and their variants. The research shows increasing integration of computational methods with theoretical analysis, and growing attention to practical applications in coastal engineering and polar science. There's also a notable trend toward interdisciplinary collaboration, particularly with oceanographers and engineers working on real-world wave problems. Professor Kalisch serves as co-editor-in-chief for "Water Waves: An interdisciplinary journal," published by Birkhäuser-Springer-Nature, demonstrating his leadership in the field. Methods for real-time wave forecasting and phase control of wave energy converters (Bergen Universitetsfond, 2021-2022) MegaRoller (European Commission Horizon 2020 grant) Norwegian Research Network in Mathematical Models in Geophysical Flows (Research Council of Norway, 2016-2019) Internal Waves in the Marginal Ice Zone (Hydralab grant from European Commission) Nonlinear PDE in Spaces of Analytic Functions (Research Council of Norway, 2012-2017) Wavemaker (Research Council of Norway, 2006-2010) Professor Kalisch has supervised numerous graduate students, including current PhD candidates Enrique Martinez, Olufemi Ige, and Anders Norevik, as well as several Master's students. His former PhD students include Maria Bjørnestad (2021), Evgueni Dinvay (2019), Vincent Teyekpiti (2018), and others who have gone on to careers in academia, industry, and research institutions worldwide. He has chaired curriculum committees and developed courses in applied mathematics, fluid mechanics, and numerics at both undergraduate and graduate levels. His research group at the University of Bergen includes postdoctoral researchers like Bashar Khorbatly, adjunct professors like Francesco Lagona, PhD students, and Master's students working collaboratively on various aspects of wave dynamics and mathematical modeling.

Valeria Vitelliمشاهده پروفایل

دانشیار

• High-dimensional Data Analysis
• Functional Data Analysis
• Bayesian Statistics
• +۶ مورد دیگر

Valeria Vitelli is an Associate Professor in Statistics at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo, where she has been faculty since 2018. Her research spans high-dimensional and functional data analysis, Bayesian methods, clustering, and preference learning. As a Principal Investigator, she leads projects within the Norwegian Centre for Knowledge-driven Machine Learning (Integreat), funded by the Norwegian Research Council. Education: PhD in Statistics, Politecnico di Milano, Italy (2012) MSc in Mathematical Engineering (cum laude), Politecnico di Milano, Italy (2008) Bachelor in Mathematical Engineering (cum laude), Politecnico di Milano, Italy (2006) Dr. Vitelli's research focuses on developing statistical methods for complex high-dimensional data, with applications spanning biomedical research, cancer genomics, and precision medicine. Her work integrates Bayesian inference, machine learning, and functional data analysis to address challenges in modern biostatistics. She has made significant contributions to ranking models, clustering algorithms, and methods for analyzing curves and intrinsically smooth processes. Her publication record demonstrates strong interdisciplinary collaboration across medicine, particularly in cancer research, ophthalmology, and neurology. Recent work shows a clear trend toward developing novel statistical frameworks for integrating complex datasets in precision medicine applications, with emphasis on Bayesian approaches and high-dimensional data analysis. Scientific Recognition: Principal Investigator for the Norwegian Centre for Knowledge-driven Machine Learning (Integreat) Awarded major FRIPRO grants from the Research Council of Norway Dr. Vitelli actively mentors students and researchers in statistical methodology development. Her grant portfolio includes significant funding from the Norwegian Research Council for projects focused on Bayesian clustering methods for high-dimensional omics data. She teaches courses including "Introduction to Machine Learning in Biomedical Research" and "Statistical Principles in Genomics" for medical students and PhD candidates. She leads a research group focused on statistical models for high-dimensional and functional data within the Oslo Centre for Biostatistics and Epidemiology, collaborating closely with medical researchers across various specialties to develop and apply advanced statistical methods to biomedical challenges.

Mary Preston Sutphenمشاهده پروفایل

استاد

• University Pedagogy
• Higher Education
• Interdisciplinarity
• +۳ مورد دیگر

Mary Preston Sutphen is a Professor in the Department of Education at the University of Oslo, Norway. Her work focuses on university pedagogy, interdisciplinary education, and the role of research-intensive universities in society. She has held leadership roles at institutions like the University of North Carolina and academic research positions at Carnegie Foundation and Wabash College. PhD, Yale University (1994) MA, Duke University (1988) BA, Brown University (1983) Her research emphasizes academic hospitality as a framework for interdisciplinary collaboration, exploring epistemological, material, and linguistic dimensions. She contributes to pedagogical praxis through critical analysis of university strategic plans. Recent publications examine hospitable collaboration models, interdisciplinary learning ecologies, and institutional mission negotiations. Key themes include collaborative learning, qualitative methods, and the governance of higher education institutions. Recipient of the J Elliott Royer Post-Doctoral Research Fellowship She supervises doctoral and master's students and provides academic advising through the Center for Learning and Education (LINK) at UiO. Her work intersects with digital tools and workplace learning in higher education contexts.