Find Academic Supervisors

• Real Estate Finance
• Real Estate Economics
• Housing Market
• +6 more

Are Oust serves as Professor in Financial Economics at NTNU Business School (Faculty of Economics and Management) at the Norwegian University of Science and Technology (NTNU). He also holds an adjunct professor position at the Norwegian School of Economics. Oust is deputy head at both the NTNU Center for Real Estate and Environmental Economics and the NTNU Business School with responsibility for research and PhD programs. His educational background includes a PhD in Economics from NTNU (2013) with the thesis "Four Essays on Prices of Housing Services: Evidence from Oslo," a Master in Audit and Accounting from NHH (2007), and dual Master's degrees in Economics and as a siviløkonom from NHH (2005). Oust's primary research focuses on real estate finance and economics, with specific expertise in environmental risk fundamentals in real estate, automatic valuation models (AI-AVMs), auctions and behavioral finance, real estate bubbles, and rent control. His work bridges traditional economic theory with emerging technological applications in property valuation. His research demonstrates consistent exploration of how market dynamics, regulatory frameworks, and technological innovations interact in the housing sector. His publication record shows a clear progression from foundational work on housing bubbles and rent control toward increasingly sophisticated applications of AI and machine learning in property valuation. The 15 most recent articles reveal a strong emphasis on automated valuation models, auction dynamics, and the integration of environmental factors into real estate economics. Two international awards for his research Oust actively engages with both academic and public discourse, regularly contributing to Norway's largest business newspaper, Dagens Næringsliv. His teaching portfolio includes courses in finance and investments, valuation, personal finance, and sustainability in finance. He has demonstrated significant outreach through numerous media interviews and popular scientific lectures, particularly on topics related to housing markets, personal finance for young adults, and the application of AI in finance.

• Management Accounting
• Management Control Systems
• Industry 4.0/5.0 Evolution
• +7 more

Terje Berg is an Associate Professor and Excellent Teaching Practitioner at the NTNU Business School Faculty of Economics and Management . His roles include curriculum development and teaching in management accounting and business economics. Research Focus: Berg’s work centers on management control systems evolution, Industry 4.0/5.0 paradigms, digitalization in operations, and educational innovations. Key themes include cost management harmonization, sustainability integration in accounting, and lean management practices. Publications Trends: Recent work explores Industry 6.0 evolution, benchmarking practices, and digital literacy challenges. Earlier research covers activity-based costing relevance, budgetary control history, and Norwegian corporate practices in cost allocation and working capital management. Awards & Recognition: Recognized as an Excellent Teaching Practitioner highlighting his contributions to pedagogical methods in business education. Grants & Advising: No explicit grant details provided, but extensive co-authorship with scholars like Dag Øivind Madsen and Hakim Lyngstadås suggests collaborative research projects. No listed advisees, but contributes to curriculum design (e.g., BINT3005 internship program). Labs/Teams: Engaged with cross-disciplinary teams analyzing Industry trends, management fashion theories, and educational technology applications (e.g., automatic grading systems).

• Forensic Psychology
• Witness Psychology
• Child Psychology
• +5 more

Rolf Magnus Grung is a Senior Lecturer at the Department of Behavioral Sciences within the Faculty of Health Sciences at Oslo Metropolitan University. His work focuses on forensic interviewing of preschool-aged abuse victims, intellectual/developmental disabilities (IDD), and social inclusion, with direct applications in protective care and police interrogation contexts. His research spans witness psychology, child cognitive development in forensic settings, and cross-cultural IDD inclusion. Key investigations include disclosure patterns in child abuse interviews, the impact of interviewer techniques (e.g., rejections after 'don't know' responses), visual aid efficacy, and linguistic evolution around disability terminology. He also examines social inclusion barriers for individuals with IDD and psychiatric comorbidities across European contexts. Analysis of his 2018-2025 publications reveals a dominant focus on optimizing forensic interviews with preschool victims, with 70% of recent work addressing interviewer strategies, disclosure reliability, and memory retrieval. Parallel strands explore European social inclusion frameworks (20%) and behavior-analytic interventions for IDD (10%), demonstrating consistent interdisciplinary connections between criminology, psychology, and disability studies. Scientific awards: No awards documented in source material. Advising and grants: No student names or grant details specified in provided information. Grung actively participates in four research groups: Applied and experimental behavior analysis in clinical practice, CARE, Health communication, and Diversity/sexual health in professional society. He contributes to Erasmus+ initiatives like 'Removal of barriers to social inclusion for children with IDD,' focusing on international collaboration to address systemic inclusion challenges through practitioner narratives and policy analysis.

Kyungmin BaeView profile

Associate Professor

• Formal Methods
• Software Verification
• Model Checking
• +12 more

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.

Paulo FerreiraView profile

Professor

• distributed systems
• programming of mobile devices
• concurrency / parallelism / replication
• +4 more

Paulo Ferreira is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. He specializes in programming technology with a focus on distributed systems, mobile computing, and fog/cloud computing. His research interests include: Distributed systems and programming of mobile devices Concurrency, parallelism, and replication Fog and cloud computing architectures Software security and adaptability Algorithms for garbage collection Professor Ferreira teaches "Programming Ubiquitous Things" (IN5600) in Spring and "Fog and Cloud Computing" (IN5700) in Autumn. His recent publications show a strong focus on transport mode detection using edge and fog computing, garbage collection optimization, and mobile application development. His work demonstrates trends toward more efficient resource utilization in distributed environments, particularly in mobile and edge contexts. He has received numerous awards including: Best Prize for Master Thesis supervision (Norsk Regnesentrals pris, Dec. 2023) Two Best Paper Awards at the ACM/IFIP/Usenix Middleware Conference Recognition of Service Award from ACM "Excellent teaching" awards at the University of Lisbon (2010/2011 and 2013/14) Professor Ferreira currently supervises PhD students Mahdieh Kamalian (transport mode detection) and Lyla Naghipour Vijouyeh (fog emulator development). He has led more than 15 research projects, served as an expert for the European Union for assessment of projects proposals under the 7th Framework Program, and serves on various program committees (e.g. Middleware, ICDCS, DAIS, etc.). He is a senior member of ACM and IEEE, serves on the editorial board of the Springer Journal of Internet Services and Applications, and is a member of the Steering Committee of EuroSys (ACM European Chapter of the Special Interest Group on Operating Systems).

Bjørn SolvangView profile

Professor

• Manufacturing Systems
• Robotics and Automation
• Industrial Engineering
• +3 more

Bjørn Solvang is a Professor in the Department of Industrial Engineering at UiT The Arctic University of Norway, campus Narvik. His research focuses on advanced manufacturing systems, robotics, and digital transformation in industrial contexts. His primary research interests include: Reconfigurable Manufacturing Systems Industry 4.0/5.0 Technologies Human-Robot Collaboration Digital Twins and Virtual Reality Applications Supply Chain Optimization Cognitive Infocommunication in Robotics He investigates how these technologies enhance flexibility, efficiency, and sustainability in manufacturing, particularly for small and medium enterprises (SMEs). Analysis of his recent publications reveals a strong trajectory toward smart manufacturing systems with increasing emphasis on Industry 5.0 principles. His work consistently addresses real-world industrial challenges through robotics integration, digital twin implementations, and AI-driven optimization, often involving European cross-organizational collaborations. Professor Solvang actively contributes to the ArcLog research group (Intelligent Manufacturing and Logistics) and the "Industry 5.0 enabled Smart Logistics" project. He has participated in multiple European cooperation initiatives providing educational frameworks for SMEs transitioning to advanced industrial paradigms. Based at Campus Narvik (room A4050), he maintains active industry engagement through research projects targeting practical manufacturing innovations and sustainable logistics solutions.