جست‌وجوی استاد و پژوهشگر

• Biomechanics
• Gait Analysis
• Footwear Evaluation
• +۴ مورد دیگر

Dr. Li Jin is an Assistant Professor at San José State University's Department of Kinesiology, specializing in biomechanics. He holds a Ph.D. and M.S. in Human Physiology (Biomechanics) from the University of Oregon and a B.S. in Kinesiology from Shanghai University of Sport. His research focuses on lower extremity biomechanics, footwear evaluation, injury prevention, and balance control during locomotion. He teaches undergraduate and graduate biomechanics courses, integrating his research into pedagogy. Education: Ph.D. in Human Physiology (Biomechanics), University of Oregon M.S. in Human Physiology (Biomechanics), University of Oregon B.S. in Kinesiology, Shanghai University of Sport Research Interests: Dr. Jin's work explores biomechanical patterns in lower extremity locomotion, footwear design impacts, and wearable sensor applications. His three core areas include: (1) mechanics of lower extremity movements during walking/running; (2) 3D-printed footwear evaluation and injury prevention; and (3) clinical gait balance control via wearable sensors. His studies emphasize gait economy, injury reduction, and fall prevention. Grants & Advising: No specific grants or student names are listed, but he supervises biomechanics research projects. Interested students are encouraged to contact him directly. Labs & Teams: Not explicitly detailed in the provided texts, but his research aligns with biomechanics labs focused on locomotion, footwear, and prosthetics.

Maham Riazمشاهده پروفایل

پژوهشگر ارشد

• Immersive Audio
• Psychoacoustic Perception
• Spatial Audio
• +۶ مورد دیگر

Maham Riaz is a Doctoral Research Fellow at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo, affiliated with the Faculty of Humanities. Her research focuses on audiovisual rhythms, motion capture, spatial audio, and psychoacoustic perception. She holds an M.Mus in Music Technology from New York University (NYU) and a B.Sc in Accounting & Finance from Lahore University of Management Sciences (LUMS). Her academic interests span immersive audio, gestural music, microphone techniques, and the intersection of music with digital animation and audiovisual media. She has received prestigious awards such as the Fulbright Scholarship and the NYU Music Tech Academic Achievement Award. Riaz’s work bridges music technology and interdisciplinary research, particularly through projects like the AMBIENT initiative. She collaborates on experimental audio setups, spatial audio recording, and interactive systems. Her contributions include advancements in soundfield microphone techniques and the analysis of human micromotion using inertial sensors. Key Projects: AMBIENT (Bodily Entrainment to Audiovisual Rhythms), Bodies in Concert Labs: RITMO Centre, fourMs Lab

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).

Jean-Luc Boullandمشاهده پروفایل

دانشیار

• Spinal Cord Injury
• Locomotion
• Neural Plasticity
• +۴ مورد دیگر

Jean-Luc Boulland is an Associate Professor at the University of Oslo's Institute of Basic Medical Sciences (Division of Physiology). His research focuses on spinal cord injury recovery mechanisms, functional electrical stimulation, and translational medical technologies. He leads projects on spinal trauma models in large animals and has affiliations with the NERD (NEurotrauma, Repair and Development) research group. His work integrates biomechanical injury models, sensor technologies, and stem cell tracking methods. Key contributions include developing MEMS-based pressure sensors and multimodal spinal injury apparatuses. Articles highlight innovations in sensor systems, locomotor circuitry repair, and cell-based therapies. Boulland's collaborations span neurobiology, biomedical engineering, and regenerative medicine. His lab explores tissue regeneration pathways and clinical validation of novel treatments, aiming to bridge basic science with clinical applications.

• Machine Learning
• Predictive Analytics
• Time Series Analysis
• +۵ مورد دیگر

Nurilla Avazov is an Associate Professor of Data Science at the Inland School of Business and Social Sciences, Inland Norway University of Applied Sciences. He holds dual PhDs: a PhD in Computer Science (2021) from the University of Auckland and a PhD in Information and Communication Technology (2015) from the University of Agder. His research focuses on machine learning, predictive analytics, time series analysis, wireless communication modeling, IoT systems, e-healthcare solutions, and human activity recognition through advanced signal processing techniques. Dr. Avazov’s academic career includes significant contributions to high-impact refereed journals and conferences. His work spans theoretical developments in algorithm design, practical implementations in sensor networks, and interdisciplinary applications in healthcare and smart environments. He has developed novel trajectory-driven channel models for mm-wave systems and pioneered backscattering-based human activity recognition methods. His expertise combines data science with telecommunications engineering, addressing challenges in non-stationary channel analysis, radar systems for indoor localization, and cybersecurity through wireless signal inference. Current research trends emphasize multimodal sensor fusion, real-time activity tracking, and privacy-aware IoT architectures. Dr. Avazov has advised no formally recorded students in the provided data. His research grants and funded projects are not explicitly detailed here, though his publications indicate sustained external collaboration and funding support. He is affiliated with the Business Analytics research group at his institution.

Bård Inge Austigard Pettersenمشاهده پروفایل

استادیار

• Statistical Machine Learning
• Mathematical Logic
• Functional Analysis
• +۶ مورد دیگر

Bård Inge Austigard Pettersen is an Assistant Professor at the Faculty of Logistics, Molde University College. He specializes in logistics, mathematics, and educational technology. His roles include Study Leader for an online logistics program and Coordinator for online teaching in logistics. He teaches courses such as Applied Calculus, Statistics, and Production Planning. He holds a degree in mathematics and physics from the Norwegian University of Science and Technology (NTNU). His research focuses on statistical machine learning, mathematical logic, functional analysis, combinatorics, and complexity theory, with a strong emphasis on applying digital tools to enhance teaching and learning. His publications span textbooks in mathematics, logistics, and statistics, including foundational texts like Grunnleggende matematikk and specialized works on inventory management. He has contributed to improving online education through projects on Learning Management Systems (LMS) and digital book simulation. His work highlights the intersection of theoretical research and practical educational innovation, with a commitment to student success through technology integration.

Paulo Cesar Ribasمشاهده پروفایل

استاد

• Energy Logistics
• Offshore Wind Energy Supply Chain Planning
• Oil & Gas Supply Chain Planning
• +۵ مورد دیگر

Paulo Cesar Ribas is a Professor in Energy Logistics at Molde University College (HiMolde), Norway. His expertise lies in optimizing supply chains for energy sectors, especially offshore wind and oil & gas industries. He holds a Ph.D. in Electrical Engineering and Industrial Informatics from UTFPR, Brazil, with prior roles including 16 years at PETROBRAS as an Operational Research Analyst, focusing on supply chain planning and optimization. Education: Ph.D. (2012): Electrical Engineering and Industrial Informatics, UTFPR, Brazil Master's (2003): Production and Systems Engineering, PUC/PR, Brazil Bachelor's (1996): Industrial Electrical Engineering, UTFPR, Brazil Specialization (1999): Business Management (ERP Systems), PUC/PR, Brazil Research Interests: Ribas focuses on energy logistics optimization, including offshore wind energy systems, oil & gas supply chains, and low-carbon emission strategies. His work combines discrete event simulation, mathematical modeling, and advanced algorithms to solve complex operational challenges. Recent studies address offshore platform vessel management, pipeline decommissioning, and wind farm maintenance logistics. Key Contributions: His publications emphasize optimization models for supply chain planning, vessel scheduling, and multi-objective algorithms. Notable projects include fleet management strategies for Brazilian offshore operations and helicopter rescheduling in oil industries. He leads the Energy Logistics Research Group (EneLog), collaborating on cutting-edge solutions for sustainable energy logistics. Professional Experience: 2006–2022: PETROBRAS R&D Center – Logistics Research Analyst 2019–2022: Guest Professor at HiMolde 2013–2018: Associate Professor at Veiga de Almeida University, Brazil Labs/Teams: Active contributor to the Energy Logistics Research Group (EneLog), focusing on innovative logistics solutions for renewable and traditional energy sectors.

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.

• Computer Graphics
• Geosciences Visualization
• Virtual Reality Applications
• +۳ مورد دیگر

Assoc. Prof Daniel Patel holds a position in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences (HVL). His research focuses on interdisciplinary applications of computer graphics and visualization techniques in geosciences, VR training systems, and educational technology. Key areas include collaborative software for subsurface CO2 storage, seismic data interpretation, and vision-training serious games for children. His work bridges computer science with geology, energy systems, and marine biology, emphasizing real-time visualization algorithms and secure rendering methods. He has pioneered VR training systems for safety assessment and developed web-based 3D geology visualization tools using open standards like X3DOM. His research also extends to acoustic marine species identification and GPU-optimized rendering techniques. Notable contributions include advancements in homomorphic-encrypted volume rendering for secure visualization, multi-GPU processing with the Vulkan API, and sketch-based geological modeling tools. His projects often integrate modern hardware (e.g., VR headsets) with game engines to enhance training and educational outcomes.

• Engineering Computing
• Computer Engineering
• Applied Computing

Murugesan Rasukkannu serves as a Research Fellow in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences, where he maintains an office in E506. His research centers on Engineering Computing, focusing on computational methodologies for engineering problem-solving. This encompasses specialized domains like Computer Engineering and Applied Computing, driving innovation in algorithmic design and simulation tools for industrial applications. No documented scientific awards, student advisement roles, or grant activities were identified in the source material.

• Medical Imaging
• Radiation Detection
• Proton Therapy
• +۴ مورد دیگر

Associate Professor Ilker Meric is affiliated with the Department of Computer Science, Electrical Engineering and Mathematical Sciences at the University of Bergen. His research focuses on advanced medical imaging techniques, radiation detection systems, and proton therapy verification methodologies. Key projects include the NOVO and SenSe groups, which explore hybrid neutron/gamma ray imaging and sensor technologies for healthcare applications. His research interests span medical physics, radiation detection, and data science applications in healthcare. Notable contributions include developing computational models for proton range verification using prompt gamma-ray spectroscopy and fast neutron detection. Meric also investigates sensor networks for real-time monitoring in industrial and medical contexts. Recent work emphasizes integrating artificial intelligence (e.g., U-NETs) for image reconstruction in proton therapy, as well as optimizing neutron-based systems for crude oil analysis and subsurface exploration. His publications highlight interdisciplinary approaches combining physics, engineering, and data-driven methods to solve complex clinical and industrial challenges. Meric teaches courses such as Control Systems Engineering, Instrumentation, and Bachelor Thesis supervision. His research groups collaborate on cutting-edge projects like the NOVO initiative, advancing real-time range verification in particle therapy to improve treatment accuracy and patient safety.

Sebastian Urrutiaمشاهده پروفایل

استاد

• Operations Research
• Optimization
• Integer Programming
• +۴ مورد دیگر

Sebastian Urrutia is a Professor in the Faculty of Logistics at Molde University College (HiMolde), specializing in Operations Research and Optimization. He holds a PhD in Computer Science from Pontifical Catholic University of Rio de Janeiro (2005) and a BSc in Computer Science from the University of Buenos Aires (2001). His research focuses on Integer Programming, Approximation Algorithms, Graph Theory, and applications in Healthcare Logistics, Transportation, and Sports Scheduling. Key research interests include optimization methods for healthcare systems, maritime inventory routing, and algorithmic solutions for complex scheduling problems. His work bridges theoretical advancements in combinatorial optimization with practical applications in logistics and transportation. Recent publications emphasize Benders decomposition for healthcare logistics, polynomial-time graph algorithms, and maritime routing optimization. He has contributed to over 40 peer-reviewed articles in journals like European Journal of Operational Research and Networks . Urrutia’s academic contributions include developing exact and heuristic methods for NP-hard problems, with notable work on the Double Traveling Salesman Problem with Multiple Stacks and token swapping algorithms on cographs.

Arild Hoffمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +۳ مورد دیگر

Arild Hoff is a Professor of Quantitative Logistics at Molde University College, Faculty of Logistics. He teaches courses including LOG500 Management Models and Operations Research (Bachelor - Fall semester) and LOG530 Distribution Planning (Bachelor - Spring semester). Previously, he has taught several subjects within informatics, inventory and production management and exact optimization methods, both at bachelor and master level. His educational background includes: PhD in Logistics – Molde University College (2006) Cand. Scient. – University of Bergen (1998) Cand. Mag. – Molde University College (1994) Marketing – Trondheim Business School (1991) Business Economist – Trondheim Business School (1987) Professor Hoff's research focuses on operations research, planning, optimization and decision support, with particular emphasis on solution methods for combinatorial optimization problems, such as vehicle routing and hub location. His PhD thesis addressed "Heuristics for Rich Vehicle Routing Problems," exploring search methods for solving advanced vehicle routing problems with special constraints. His recent publications demonstrate a strong focus on maritime logistics, inventory routing problems, and optimization methods under uncertainty. His work spans applications in aquaculture, disaster relief, waste collection, and transportation planning, with a consistent emphasis on developing and applying advanced optimization techniques to complex real-world problems. Professor Hoff is actively involved in research groups including Energy Logistics (EneLog) and Planning, Optimization and Decision Support, with additional interests in aquaculture and other marine industries.

Arne Bang Husebyمشاهده پروفایل

استاد

• Risk Analysis
• Stochastic Modeling
• Environmental Contours
• +۴ مورد دیگر

Arne Bang Huseby is a **Professor** at the **University of Oslo** within the **Department of Mathematics**, specializing in **Risk and Stochastics**. His research focuses on **risk analysis, stochastic modeling, environmental contours, and reliability engineering**, with applications to **aviation safety, marine engineering, and insurance mathematics**. He has contributed significantly to **environmental contour methodologies** for structural design and safety assessment, particularly in marine and offshore contexts. His work integrates machine learning (e.g., XGBoost) for predicting runway conditions and optimizing reinsurance contracts. Key areas include **multistate systems**, **time-dependent risk**, and **climate change impacts on wave climates**. His research has been published in top journals like *Ocean Engineering*, *Reliability Engineering & System Safety*, and *Cold Regions Science and Technology*. Collaborations span academia and industry, addressing challenges in aviation, energy production, and operational risk management. He is affiliated with the **Stochastics of Renewable Energy Markets (STORE)** research group, contributing to interdisciplinary projects on risk assessment and decision support systems.

Leona Chandraمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Information Systems Design
• Digital Technologies and Society
• +۳ مورد دیگر

Leona Chandra is a Professor at the Department of Information Systems, University of Agder. Her research explores how digital technologies shape human experiences in work and leisure, emphasizing ethical design principles for support, pleasure, and security. She investigates emerging technologies like NFTs, digital companions, and immersive systems, with notable work on virtual wine tasting and hybrid work design. Her research has earned prestigious awards including the Young Researcher Award 2024 and multiple best paper recognitions. She serves as Senior Editor for the European Journal of Information Systems and chairs major conferences like ICIS and DESRIST. Her contributions span over 30 peer-reviewed articles in top journals like Journal of Management Information Systems and Journal of the AIS, focusing on design science, sustainability, and digital innovation. Research Focus: Human-Technology Interaction, Digital Transformation, Ethical AI Key Projects: Hybrid Work Design, NFT Tokenization, Crisis Management Systems Service Roles: Program Chair (WI 2025), Track Chair (ICIS 2025) Leona leads the CHERISH research group, advancing socio-technical design for human flourishing. Her work bridges theoretical innovation with practical impact, addressing societal challenges through technology.