جست‌وجوی استاد و پژوهشگر

Tor-Morten Grønliمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Software Architecture
• Machine Learning
• +۴ مورد دیگر

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

Dag Sjøbergمشاهده پروفایل

استاد

• Software Engineering
• System Development
• IT Systems
• +۱۲ مورد دیگر

Dag Sjøberg is a Professor at the Department of Informatics (Ifi), University of Oslo . He also holds a part-time position at SINTEF Digital . His research focuses on empirical software engineering with emphasis on development processes , agile methodologies , technical debt , and programming skill assessment . Research Interests: Empirical methods (controlled experiments, case studies) Construct validity frameworks Agile and Lean practices Microservices architecture Software quality and maintainability Scientific Achievements: Led Simula Research Laboratory's Software Engineering department ranked #1 globally (2004-2008) Developed Guidelines for Construct Validity in software engineering research Extensive publication record in top venues like IEEE Transactions and Journal of Systems and Software Academic Background: Cand.scient. in Informatics (University of Oslo, 1987) PhD in Software Engineering (University of Glasgow, 1993) Professional Involvement: Co-founder and board member of three IT companies Former research director at Simula Research Laboratory (2001-2008) Current head of the Programming and Software Engineering research section at Ifi

Akshay Rajhansمشاهده پروفایل

پژوهشگر

• Cyber-Physical Systems
• Model-Based Design
• Formal Verification
• +۵ مورد دیگر

Akshay Rajhans is a Chief Research Scientist and Head of the Advanced Research & Technology Office at MathWorks . His work bridges technical computing, model-based design, and AI-enabled cyber-physical systems (CPS), with a focus on verification, simulation, and industrial applications. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (2013) and an M.S. in Electrical Engineering from University of Pennsylvania (2007).

• Operations Management
• Digital Strategy (Industry 4.0)
• Circular Economy
• +۵ مورد دیگر

Usama Awan is an Associate Professor of Operations Management and Digital Strategy at the University of Inland Norway, affiliated with the Center for Research on Digitalization and Sustainability. He holds a PhD (2019) from Lappeenranta-Lahti University of Technology (Finland) and has extensive international research experience including roles at Duquesne University (USA) and multiple Nordic institutions. Education: PhD in Industrial Engineering & Management (LUT, Finland) MSc International Marketing (Malardalen University, Sweden) MBA (Quaid-i-Azam University, Pakistan) Postgraduate Diploma in Teaching Practices (Haaga-Helia, Finland) Research Focus: Combines digital transformation (AI, Industry 4.0, IoT) with sustainability goals like Circular Economy and Green Innovation. Specializes in supply chain dynamics, data analytics, and sustainable production practices. Recent work explores paradoxes in corporate sustainability within emerging technologies like quantum computing and additive manufacturing. Key Contributions: Over 43 ISI journal articles, 10 book chapters, and 2,280+ citations (H-index 30). Active in conferences with a focus on sustainable operations, digital strategy, and environmental management. Labs/Initiatives: Member of research groups 'Smarter Greener Innovation (SGI)' and 'Sustainable Ecosystem Transition (SET)' at Inland Norway University.

Ricardo Colomo-Palaciosمشاهده پروفایل

استاد

• Human Factors in Computing
• Project Management in Information Systems Development
• Global & Distributed Software Engineering
• +۷ مورد دیگر

Ricardo Colomo-Palacios is a Full Professor at the Department of Computer Science and Communication at Østfold University College, Norway. He coordinates the DigiTech research group associated with the Digital Society research priority area. Previously, he worked at Universidad Carlos III de Madrid, Spain. His educational background includes a PhD in Computer Science from Universidad Politecnica of Madrid (2005) and an MBA from the Institute of Empresa (2002). He has professional experience as a Software Engineer, Project Manager, and Software Engineering Consultant, including work at INDRA, a leading Spanish IT company. Colomo-Palacios' research spans several interconnected areas focusing on human aspects of computing and software engineering. His primary interests include Human Factors in Computing, Project Management in Information Systems Development, Global & Distributed Software Engineering, and Systems, Services and Software Process Improvement & Innovation. He also investigates Management Information Systems, Computing Profession Studies, Business Software, and Innovation in IT, with recent work emphasizing cybersecurity applications in critical infrastructure. His recent publications demonstrate a strong focus on cybersecurity applications in critical infrastructure, DevSecOps frameworks, visual analytics for supply chains, and social robotics security. The research shows a clear trend toward integrating security practices throughout the software development lifecycle while addressing real-world challenges in critical systems and infrastructure. He leads several significant research projects including DigiMat (Smart, transparent and sustainable food supply chains), EduTech (Technological assistance to accessibility in Virtual Higher Education), RECYCIN (Reinforcing Competence in Cybersecurity of Critical Infrastructures), and SecuRoPS (User-centred Security Framework for Social Robots in Public Space). As Coordinator of the DigiTech research group, Colomo-Palacios oversees research initiatives within the Digital Society priority area. His work bridges academic research with practical applications in industry, particularly in the areas of software engineering process improvement and cybersecurity for critical infrastructure.

• Bayesian Statistics
• Spatial Statistics
• Disease Mapping
• +۳ مورد دیگر

Andrea Ingeborg Riebler is a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU). Her research focuses on Bayesian statistics, spatial modeling, disease mapping, and statistical software development. She is a leading contributor to the R-INLA framework for Bayesian hierarchical modeling and has developed packages like SUMMER and makemyprior for spatial-temporal analysis and prior elicitation. Her work bridges methodological advancements with applications in public health, demography, and epidemiology. Key research interests include spatial epidemiology, meta-analysis, and robust statistical modeling. She collaborates widely, particularly with researchers in geostatistics, computational statistics, and health sciences. Notable contributions include methods for small-area estimation in low/middle-income countries, cancer burden projections, and addressing positional uncertainty in geostatistical surveys. Her recent publications (2023–2025) emphasize scalable disease forecasting, mortality-based cancer incidence prediction, and improving DHS data analysis through positional adjustment. Teaching includes advanced computational statistics, survival analysis, and statistical modeling for biologists. Education: Doctoral dissertation work at NTNU (2021) focused on robust hierarchical models. Grants/Projects: Active in international health surveys (e.g., European Social Survey Health Inequalities Module). Labs/Teams: Collaborates with the NTNU Statistics Group and global health data initiatives.

• E-learning
• Instructional Design
• Computer-Supported Cooperative Work
• +۳ مورد دیگر

Knut Arne Strand is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology. He focuses on e-learning design, instructional methodologies, and collaborative educational systems, with a career spanning two decades of research and teaching in digital learning environments. MS in Informatics (1994), University of Trondheim PhD in Information Technology (2012), Norwegian University of Science and Technology His research explores concurrent design in educational contexts, distributed collaboration frameworks, and problem-based learning innovations. Recent work examines refugee education through NGO-led entrepreneurship programs and automated coding style feedback for programming courses. Publications reveal consistent focus on instructional design and educational technology across 15 years, with recurring themes in collaborative learning , curriculum development , and digital learning infrastructure . Strand frequently collaborates with Norwegian educational institutions and international partners.

• Sustainable Supply Chain
• Reverse Logistics
• Location and Network Design
• +۷ مورد دیگر

Hao Yu is a tenured Associate Professor and Program Leader for the Master in Industrial Engineering at UiT The Arctic University of Norway , Department of Industrial Technology. His research focuses on real-problem-driven model development and applied operations research for sustainable supply chains, reverse logistics, location/network design, service systems, and smart logistics in Industry 4.0/5.0. He combines predictive , prescriptive , and descriptive analytics in Industry 5.0-enabled Smart Digital Logistics Twins to address challenges in reverse logistics, epidemic logistics, and remanufacturing systems. Current Projects : Industry 5.0 enabled Smart Logistics (2023-2026) - HK-dir/UTFORSK Digital Reverse Logistics Twin 5.0 (2026-2029) - FRIPRO AI for Cyber-Sustainable Engineering Education (2025-2026) - Nordplus Professional Affiliations : NORS (Norwegian Operations Research Society) EWGSSC (EURO Working Group on Sustainable Supply Chains) EWGLA (EURO Working Group on Location Analysis) EURO Working Group on Practice of OR Editorial Roles : Associate Editor - IEEE Transactions on Intelligent Transportation Systems Associate Editor - World Journal of Engineering Editorial Board - Science Progress, Discover Sustainability, Logistics, Eng Teaching Portfolio : SB_ME_IIT_0001_Prosjektledelse (Microcredential, 2026-) INE-3612 Industry X.0 (Master, 2023-) INE-3800 Operations Research 1 (Master, 2022-) INE-3605 Project Management (Master, 2015-2022) TEK-6005 Industry 4.0 (EVU, 2020) INE-3609 Supply Chain Management (Postgraduate, 2019 & 2022-) Hao Yu's recent publications (2022-2025) demonstrate expertise in electric vehicle infrastructure modeling, railway cold chain forecasting, maritime scheduling, and digital twin applications. His work spans optimization/simulation models addressing sustainable logistics, reverse supply chains, and Industry 4.0/5.0 transitions, with case studies focused on Norway and the oil/gas sector.

• Software Engineering
• Software Security
• Artificial Intelligence in Software Engineering
• +۲ مورد دیگر

Professor Jingyue Li is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. in Software Engineering from NTNU in 2006 and maintains extensive industry experience from global corporations including IBM and DNV Research and Innovation. She currently serves on the EASE steering committee and holds the position of General Chair for FSE 2025. Her educational background includes: Ph.D. in Software Engineering from NTNU (2006) Professor Li's research spans empirical software engineering with core focus areas in software security, AI integration in software development, and blockchain technologies. Her methodological approach emphasizes design science to create innovative tools and frameworks, particularly for security-critical systems and decentralized applications. Recent projects demonstrate strong industry collaboration in supply chain management, smart city infrastructure, and healthcare technology. Analysis of her 2023-2025 publications reveals dominant themes in blockchain governance (40%), security vulnerability detection/repair (35%), and AI-enhanced software engineering (25%). Key trends include empirical studies of Bitcoin consensus evolution, development of decision support systems for blockchain design patterns, and novel techniques for detecting unexploited smart contract vulnerabilities. Her work consistently bridges theoretical advances with practical industrial applications. Professor Li actively contributes to the research community through leadership roles including General Chair for FSE 2025 and EASE steering committee membership. Her grant portfolio features significant projects such as PaaSforChain (2020-2023, PI), CyberSmart (2017-2020, PI), and TRACE4EU (2023-2025, Key Scientist), demonstrating sustained funding success across blockchain, security, and AI domains. International collaborations include research visits to University College London, University of Washington, Hiroshima University, and Peking University. Her research is conducted within NTNU's Department of Computer Science, where she integrates cutting-edge industry experience with academic rigor to advance software engineering practices in security-critical and blockchain-based systems.

Rudolf Schlatteمشاهده پروفایل

پژوهشگر

• Formal Methods
• Computer Science
• Programming Language Semantics
• +۵ مورد دیگر

Rudolf Schlatte is a Researcher at the Department of Informatics, University of Oslo, affiliated with the Reliable Systems group. He holds a PhD from Graz University of Technology and has extensive experience in formal methods and software systems modeling. His work focuses on concurrent and distributed systems, formal languages, and digital twins. Education and Employment: Master’s degree from Graz University of Technology PhD (2010) at Graz University of Technology Postdoc researcher at Oslo University (2010-2011) Senior Engineer at the University of Oslo since 2011 Research Interests: Schlatte specializes in formal languages for distributed systems, digital twins, concurrency, and resource-aware modeling. His current focus includes correctness in self-adaptive systems and semantic reflection in digital twins. He actively contributes to the ABS modeling language and toolchain. Teaching: He teaches INF2220 (Algorithms and Data Structures) and INF3230 (Formal Modeling and Analysis of Communicating Systems). Publications: Over 40 peer-reviewed articles, primarily in formal methods, distributed systems, and digital twin applications. Recent work emphasizes digital twin reconfiguration, user journey simulation, and pandemic modeling. Lab/Team: Member of the Reliable Systems team, collaborating on projects like BedreFlyt (digital twin for healthcare resource planning) and NebulOuS (cloud computing).

Kjell Ivar Øvergårdمشاهده پروفایل

استاد

• Work and Organizational Psychology
• Human-Technology Interaction
• Transportation Safety
• +۷ مورد دیگر

Professor Kjell Ivar Øvergård is a Full Professor at the University of South-Eastern Norway (USN), leading the Research Group for Health Promotion in Settings within the Department of Health, Social, and Welfare Studies. His academic roles include course responsibility for Philosophy of Science and Research Methods (MSH-VET4100), lecturing on work and organizational psychology in MSH-VAA4300 and MSH-OPP4400, and supervising master’s and PhD candidates. He also serves as Chief Scientific Officer at EBHR AS, focusing on algorithmic HR software development. Education: PhD in Psychology (Cognitive Systems Engineering) from NTNU (2008), Cand.Polit in Psychology (Ergonomics and Human Factors) from NTNU (2004), and Cand.mag from Akershus College (2001). Research Interests: Cross-disciplinary studies in work environment impacts on health/turnover, human-technology interaction, transportation safety, workplace well-being, and applied statistics. Key areas include maritime human factors, decision-making under pressure, and automation trust modeling. Notable Contributions: 2012 gift professorship from Kongsberg Maritime (4 MNOK over 5 years), leadership roles in national/international research initiatives, and 6 program accreditations in Georgia/Croatia. Language proficiency includes C2+ Norwegian, C1 English, B2 German, and A2 Croatian. Advancing interdisciplinary research through collaboration with universities, industry partners, and public sectors. Focus on actionable insights for workplace safety, organizational health, and technological adaptation in complex systems.

Jefferson Mollériمشاهده پروفایل

دانشیار

• Software Engineering
• Computer Science
• Empirical Research Methods
• +۱۰ مورد دیگر

Jefferson Molléri is an Associate Professor at Kristiania University College's School of Economics, Innovation and Technology. He specializes in evidence-based software engineering and empirical research methods, focusing on software process improvement, AI applications in software engineering, and human factors in technology development. PhD in Software Engineering (Blekinge Institute of Technology, 2019) Postdoctoral research at Simula Metropolitan Centre for Digital Engineering Academic experience since 2014 His research emphasizes methodological rigor, ethical considerations, and participatory approaches in software engineering. He has developed empirical standards and checklists for survey research validation. Recent publications focus on DataOps integration, hybrid workplace transformations, and research quality frameworks. Jefferson teaches software engineering, information technology, and computer science courses. He advocates for critical appraisal of scientific literature and has extensive experience supervising students across undergraduate, graduate, and doctoral programs.

• Cyber Sovereignty and Network Security
• Internet Testbeds
• Distributed Systems
• +۸ مورد دیگر

Thomas Dreibholz is a Chief Research Engineer at Simula Metropolitan's Center for Resilient Networks and Applications. He specializes in cyber sovereignty, network security, and internet testbeds, with extensive work on distributed systems, cloud computing, and 5G networks. Affiliation: Simula Metropolitan, Oslo, Norway Research Focus: Multi-path transport protocols, network resilience, and privacy-preserving frameworks His research explores the intersection of network security, cloud/fog computing, and next-generation communication protocols. Recent work includes HiPerConTracer for network analysis, privacy-aware fog platforms , and multi-layered federated learning security . He contributes to testbed development, including the NorNet infrastructure for real-world multi-path transport research. Publications reflect expertise in multi-path TCP , 5G network optimization , and cloud/fog security . He has delivered invited talks at institutions like Hainan University and Princeton University, emphasizing open-source testbed deployment and educational outreach.