جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Machine Learning
• AI Alignment
• +۲ مورد دیگر

Michael Riegler is a Researcher at the AI Department, Simula Research Laboratory , focusing on interdisciplinary applications of Artificial Intelligence in healthcare, sports analytics, and multimedia systems. His work bridges Machine Learning , AI Alignment , and Applied AI across clinical and real-world domains. Key Affiliations: Simula Research Laboratory (AI Department Head) Research Themes: Explainable AI in medicine, multimodal data analysis, and AI-driven health monitoring Research Interests include: Developing AI/ML algorithms for medical imaging (e.g., polyp detection, embryo analysis) Addressing missing data challenges in healthcare through novel imputation techniques Creating multimodal virtual avatars for investigative interview training Designing edge AI systems for sports analytics and sustainable fishing Recent Publications highlight collaborations with institutions in Norway and globally, with a focus on: Medical Applications: Polyp segmentation, ECG analysis, and explainable models for disease detection Sports Analytics: Athlete performance prediction and soccer video processing Data Infrastructure: Lifelogging datasets (ScopeSense), semantic representation frameworks Labs & Teams include leadership in Simula’s AI Department and participation in projects like Medico Multimedia Task , ImageCLEF , and MediaEval workshops. His work emphasizes responsible AI innovation in public sectors and privacy-preserving systems for edge environments.

• Power cycles and turbomachinery
• CO2 capture
• Process modeling and simulation
• +۳ مورد دیگر

Lars O. Nord is a Professor in the Department of Energy and Process Engineering at NTNU, specializing in thermal energy systems, CO2 capture technologies, and dynamic process modeling. He holds a PhD from NTNU (2010) and a Master's from Virginia Tech (2001). His research focuses on power cycles, turbomachinery optimization, and decarbonization strategies for energy systems. Nord has led projects such as DEXPAND and InnCapPlant, addressing CO2 capture under variable loads and expander efficiency in renewable systems. Current roles: Head of the Thermal Energy research group and teaches courses like Engineering Thermodynamics. Research highlights include thermal energy storage integration, moving bed adsorption processes, and offshore hybrid energy systems. His work spans over 80 publications, emphasizing CO2 capture dynamics, turbine design, and control strategies for flexible power plants. Notable collaborations include SINTEF and Aker Solutions. Nord advises multiple PhD candidates and has mentored alumni now leading roles in industry and academia.

• robotic tactile sensing
• learning objects by touch
• soft and flexible robot design
• +۱ مورد دیگر

Dr. Hongbin Liu is a Senior Lecturer at the Department of Informatics, King’s College London, UK, affiliated with the Centre for Robotics Research. His work focuses on robotic tactile sensing, soft robot design, and haptic exploration. Research Interests: Robotic tactile sensing Learning objects by touch Soft and flexible robot design Modelling of soft interactions Dr. Liu’s recent publications highlight advancements in robotics and sensor technology , particularly in tactile perception, medical device design, and continuum robot navigation. His work integrates Bayesian classifiers for autonomous object recognition, polymer-based optical waveguides for triaxial tactile sensors, and deep learning for medical diagnostics. Collaborations span institutions like Imperial College London, The University of Hong Kong, and Medical University of Vienna. Professional Affiliation: King’s College London Department of Informatics Centre for Robotics Research (research group)

Siena Sofia Magdalena Anstisمشاهده پروفایل

پژوهشگر ارشد

• International Law
• Human Rights Law
• Migration
• +۳ مورد دیگر

Siena Sofia Magdalena Anstis is a Doctoral Research Fellow at the University of Oslo’s Faculty of Law and the Norwegian Centre for Human Rights. She specializes in international law, human rights law, migration, and law and technology, with a focus on transnational repression and government surveillance of civil society. Anstis holds advanced degrees including an LL.M. from the University of Cambridge, a BA/LLB from McGill University, and a BA in Journalism and Anthropology from Concordia University. Her research critically examines the legal frameworks governing transnational repression, cyber espionage, and the obligations of states to protect human rights defenders. She has contributed to prominent journals such as the International & Comparative Law Quarterly , Temple Law Review , and Computer Law & Security Review . Anstis also engages in teaching, offering courses like HUMR4504 (Human Rights in Practice) and HUMR5140 (Human Rights in International and National Law). Her work bridges academic research with practical advocacy, including collaborations with organizations like the Citizen Lab and Global Information Society Watch. She has authored reports on digital transnational repression in Canada and the challenges faced by environmental human rights defenders in Southeast Asia. Anstis’ interdisciplinary approach integrates legal analysis with technological, political, and sociological perspectives to address contemporary global challenges.

• Artificial Intelligence
• Machine Learning
• Bayesian Statistics
• +۶ مورد دیگر

Hugo Lewi Hammer er professor ved Oslo Metropolitan University, tilhørende Faculty of Technology, Art and Design og Department of Information Technology – Mathematical Modeling . Hans forskning fokuserer på forbedring av pålitelighet og transparens i maskinlæring, forsterkende læring og dyb læringsmodeller gjennom metodikk innen modelltolkning, usikkerhetskvantifisering, robust statistikk og kausal inferens. Hans nylige arbeid inkluderer: AI-drevet optimering i assistert reproduksjonsteknologi (embryoutvalg og sædcelleanalyse) Medisinsk bildebehandling (polypdeteksjon, meibomkertutgang) Neural nettverkstolkning og usikkerhetsmodellering i EEG-analyse Biomekanisk prediksjon av muskelutmatting Hans publikasjoner viser mangfoldige anvendelser av AI i medisin og teknologi, med spesialvekt på: Explainable AI (XAI) i diagnostikk og behandling Usikkerhetskvantifisering i dyb læring Automatisering av medisinske prosedyrer (ICSI, embryoanalyse) Stokastisk simulering og kausal inferens Hammer er engasjert i forskningsgruppene Applied Artificial Intelligence og Mathematical Modeling og har publisert over 130 vitenskapelige artikler og 7 forskningsrapporter.

Michael Rygaard Hansenمشاهده پروفایل

استاد

• Mechatronic Systems
• Hydraulic Components and Systems
• Dynamic Modeling and Simulation
• +۵ مورد دیگر

Michael Rygaard Hansen is a Professor at the Department of Engineering Sciences , University of Agder , and has served as Dean of the Faculty of Engineering and Science since 2016. He holds a Ph.D. in Computer-Aided Analysis and Design of Mechanical Mechanisms from Aalborg University (1992) and has been active in research and teaching since 1990. His academic interests focus on Numerical methods for modeling , design and optimization of dynamic mechatronic systems , and hydraulic component analysis . He has taught courses on Modeling and Simulation of Mechatronic Systems , Mechanism Theory , and Fluid Power System Design at undergraduate, master's, and doctoral levels. 2025 : Real-Time Simulation of Electro-Hydraulic Manipulators 2024 : Energy Consumption Analysis in Knuckle Boom Cranes 2022 : Linear Time-Invariant Electrohydraulic Cylinder Models His research groups include Intelligent Mechatronics (iTron) and Machine Design , with applications in offshore engineering, wind turbine mechanics, and crane systems. He has collaborated with industry leaders like Danfoss, Akersolutions, and National Oilwell Varco during his career.

Attila Bekkvik Szentirmaiمشاهده پروفایل

استادیار

• Universal Design of ICT
• Human-Computer Interaction
• Augmented Reality
• +۵ مورد دیگر

Attila Bekkvik Szentirmai is an Assistant Professor and Ph.D. research fellow at the Department of Design, Norwegian University of Science and Technology (NTNU), focusing on Universal Design of ICT, Human-Computer Interaction, and Augmented Reality (AR) development. With prior academic roles at the University of Agder and Oslo Metropolitan University, his interdisciplinary background bridges Social Science, Art, Software Engineering, and Digital Health. He teaches Web of Things (IDG3006) and leads innovative AR projects like AReader (AR screen reader), ARachnoAID (phobia treatment), and guARdian (daily decision support). Current role: Assistant Professor at NTNU Research focus: Universal Design, AR/VR accessibility, e-Learning/e-Health Teaching: Web of Things (IDG3006) course coordinator Previous roles: Assistant Professor at University of Agder and OsloMet His recent publications emphasize accessible AR/VR design, including humor/ethics in technology, sustainable AR solutions, and critical analysis of accessibility paradoxes. Projects span education (SlidAR classroom presentations), health (CybAR sickness, ARachnoAID), and sustainability (HoloWatch, E-Waste gaming). All work aligns with universal design principles to ensure inclusivity across diverse user needs. Scientific contributions include developing new accessibility heuristics for AR, analyzing AI-AR integration for decision-making, and creating prototypes for banknote recognition and indoor navigation. His publications bridge theoretical research with practical implementations, often using Unity/Vuforia for development and cross-disciplinary collaboration. His XR Research & Development timeline highlights innovations such as Deadliest Animals (2017, first universally designed WebVR), UndARtheSkull (2019, brain anatomy education), and 2023 projects like Jedi fARt Pro (humorous AR), Meta IntARaction (Quest3 AR), and XR Portal (AR-VR integration). Current Ph.D. work focuses on evidence-based accessibility guidelines for AR, aiming to impact social inclusion, academic research, and industry UX practices.

Øyvind Holmeمشاهده پروفایل

استاد

• Colorectal Cancer Screening
• Gastroenterology
• Endoscopy Quality
• +۳ مورد دیگر

Øyvind Holme is a Professor at the University of Oslo's Department of Health Management and Health Economics. His research focuses on colorectal cancer screening methodologies, endoscopy quality improvement, and clinical epidemiology. He leads projects such as the European Polyp Surveillance (EPoS) trials and EndoBRAIN (AI-aided colonoscopy diagnostics). Expertise: Colorectal cancer screening, endoscopy quality metrics, public health interventions Key contributions: Pioneering studies on adenoma removal outcomes, AI applications in endoscopy, and comparative screening effectiveness His recent work emphasizes optimizing screening strategies through advanced diagnostics and addressing disparities in healthcare access. Holme collaborates internationally on trials evaluating colonoscopy techniques, bowel preparation protocols, and surveillance practices.

Kazuhiro Ogataمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Formal Methods
• +۵ مورد دیگر

Kazuhiro Ogata is a Professor in the School of Information Science at Japan Advanced Institute of Science and Technology (JAIST). He actively teaches courses such as i116 Basic of Programming, i217 Functional Programming, and i219 Software Design Methodology, indicating a strong commitment to computer science education and curriculum development. Institution: Japan Advanced Institute of Science and Technology (JAIST) School: School of Information Science Position: Professor Email: ogata@jaist.ac.jp Research Laboratory: http://www.jaist.ac.jp/~ogata/lab/ His research interests center on programming languages, software design methodology, formal methods, and compiler construction. He emphasizes formal verification using theorem proving and rewriting logic, particularly with tools like Maude. His work bridges theoretical computer science with practical software engineering and education, focusing on correctness, design patterns, and language semantics. The analysis of his recent publications reveals a consistent focus on formal specification, verification of software systems, and educational tools for programming. His work spans functional programming, concurrent systems, and distributed algorithms, often using rewriting logic as a unifying framework. He integrates formal methods into both research and teaching, promoting rigorous software development practices. No scientific awards are explicitly mentioned in the provided texts. Kazuhiro Ogata advises students through his laboratory at JAIST and has developed structured course materials that suggest active mentorship. While specific grant information is not available, his sustained research output and tool development imply ongoing project funding. He contributes to academic outreach through summer schools and educational frameworks. He leads a research laboratory focused on formal methods and programming language design, fostering a collaborative environment for students and researchers. The lab develops tools for teaching and verifying software systems, emphasizing correctness and educational impact.

Morgan Konnestadمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer-Aided Design
• Motion Capture Technology
• +۵ مورد دیگر

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.

• Environmental Engineering
• Geological CO2 Storage
• Porous Media Simulation
• +۳ مورد دیگر

Rebecca Allen is an Associate Professor at the Department of Built Environment, Faculty of Technology, Art and Design at OsloMet – Oslo Metropolitan University. Her work focuses on sustainable built environments and CO2 storage solutions, emphasizing computational modeling for geoscientific challenges. She is affiliated with the Sustainable Built Environment (SustainaBuilt) research group. Her research integrates advanced simulation tools like MATLAB and Python to address critical issues in porous media analysis, heat pump thermodynamics, and CO2 storage optimization. Notable contributions include developing algorithms for quantifying effective void space in porous pavements and modeling vapor compression cycles for residential heating systems. Allen’s publications span topics such as parameter uncertainty in CO2 storage capacity estimates, formation categorization for carbon sequestration, and innovative stormwater management strategies using porous asphalt. She actively participates in international conferences like the International Conference on Net-Zero Built Environment and Scandinavian Simulation Society events. Her interdisciplinary approach bridges environmental engineering, geology, and computational methods to advance climate resilience and sustainable infrastructure. Collaborations include projects on the Norwegian Continental Shelf and public education initiatives about carbon storage technologies.

Allah Buxمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Medical Image Analysis
• Deep Learning
• +۶ مورد دیگر

Allah Bux is a Research Fellow at the Department of Linguistic, Literary and Aesthetic Studies, University of Bergen. His work focuses on advanced computer vision techniques, medical image analysis, and deep learning applications. He holds expertise in 3D reconstruction, anomaly detection, and surveillance systems. His research interests include developing novel neural network architectures for tasks such as skin cancer diagnosis, head pose estimation, and human action recognition. He also explores spatiotemporal analysis and attention mechanisms in CNN models. Recent trends in his publications emphasize integration of vision transformers, dual attention networks, and transfer learning for solving real-world problems in healthcare, security, and education. No scientific awards or grants are explicitly listed in the provided text. He has no documented advisees. His research involves collaborations in medical imaging, autonomous surveillance systems, and educational data analysis, with a focus on practical applications of AI.

• Maritime Engineering
• Digital Twin Technology
• Systems Engineering
• +۵ مورد دیگر

Henrique Murilo Gaspar is a Professor at the Department of Ocean Operations and Civil Engineering , Norwegian University of Science and Technology (NTNU) in Ålesund, Norway. His academic role is connected to the Ship Design Chair under the Maritime Knowledge Hub sponsored by Ulstein Group (2013-2018). He teaches courses in Systems Engineering , Maritime Operations , and Computer-Aided Engineering , while supervising over 30 MSc candidates and 6 PhD students. Coordinates the SEUS - Smart European Shipbuilding EU Horizon project Developed the open-source Vessel.JS library for maritime simulations Active in digital twin and web-based ship design research His research spans offshore wind turbine manufacturing , agile shipbuilding , and open-source tools for maritime digitalization. He has led multiple projects including EDIS , NTNU EMIS , and Future Barge with AKVA Group. Gaspar previously served as Deputy Leader for NTNU's PhD Program in Nautical Operations and coordinates the Ship Design and Operations Lab (since 2014) and Fablab NTNU (2016-2018).

Mats Erling Høvinمشاهده پروفایل

دانشیار

• Generative Design
• CAD
• CAM
• +۶ مورد دیگر

Mats Erling Høvin is an Associate Professor at the University of Oslo's Department of Informatics, affiliated with the Robotics and Intelligent Systems (ROBIN) research group. His academic work focuses on generative design, CAD/CAM systems, rapid prototyping, and evolutionary robotics. Previously, he conducted significant research in Delta-Sigma noise shaping for analog-to-digital converters. Research Interests: Generative design methodologies for manufacturing Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems Rapid prototyping and additive manufacturing techniques Evolutionary algorithms applied to robotics and optimization problems Delta-Sigma modulation for analog/digital signal conversion Robotic locomotion and control systems His publications demonstrate a consistent focus on optimization techniques applied to robotics, signal processing, and manufacturing systems. Recent work explores physics-based simulations for medical robotics and generative design for structural optimization. Earlier contributions established foundations in evolutionary robotics, motion capture filtering, and analog circuit design. Høvin teaches courses including IN5590 and IN1080, and leads research in the ROBIN group focusing on intelligent systems development. His work bridges theoretical computer science with practical engineering applications in robotics and manufacturing.

Niclas Larsonمشاهده پروفایل

دانشیار

• Mathematics Education
• Teacher Education
• Algebra
• +۳ مورد دیگر

Niclas Larson is an Associate Professor at the University of Agder (UiA), affiliated with the Faculty of Engineering and Sciences and the Department of Mathematical Sciences. His academic journey includes teaching positions in Swedish secondary schools, doctoral studies at Linköping University, and faculty roles at Stockholm University. Larson specializes in mathematics education, teacher training, and computer-aided assessment, with a focus on linear equations and algebraic competence. Education: Bachelor's and Licentiate in Mathematics (Stockholm University), PhD in Mathematics Education (Linköping University) Current Roles: Teaches mathematics and mathematics education at UiA; supervises master’s and PhD students Research: Cross-cultural analysis of pre-service teachers' equation-solving explanations; digital assessment systems; algebra in compulsory education Podcast: Runs "Spøkelser etter avdøde størrelser" (Ghosts of Departed Mathematicians), connecting historical mathematical concepts with modern pedagogy Larson's research examines how pre-service teachers explain mathematical solutions, particularly linear equations, across Norway and Sweden. He explores transitions from high-stakes exams to continuous assessment models using digital tools like STACK-tests. His work bridges theoretical frameworks with practical implementation, focusing on pedagogical innovation and comparative judgement in educational settings. Scientific publications demonstrate expertise in mathematics education, teacher development, and digital assessment tools. Recent articles analyze cross-national differences in algebraic reasoning, cognitive aspects of mathematical memory, and ethical challenges in academic writing. Larson contributes to curriculum development through textbooks like "Matematik Origo" and participates in academic committees, including the Research Education Committee for the PhD Programme in Engineering and Science at UiA. His podcast initiatives and collaborative projects highlight his commitment to public engagement and interdisciplinary approaches in mathematics education.