جست‌وجوی استاد و پژوهشگر

Stefano Fascianiمشاهده پروفایل

دانشیار

• Sound and Music Computing
• Machine Learning
• Musical Interfaces
• +۵ مورد دیگر

Stefano Fasciani is Associate Professor in the Department of Musicology at the University of Oslo's Faculty of Humanities, leading research in sound computing and interactive music systems. As Head of Creative Computing Oslo Hub and Director of the Music, Communication and Technology Master's program, he develops novel approaches to digital instrument design. Education includes: Ph.D. Integrative Sciences and Engineering, National University of Singapore (2014) M.Sc. Electronic Engineering, University of Rome Tor Vergata (2006) B.Sc. Electronic Engineering, University of Rome Tor Vergata (2003) Research integrates signal processing, machine learning, and embedded systems to create responsive musical interfaces and synthesis architectures. Current projects include neural modeling of acoustic instruments, optical sensor-based controllers, and multi-agent music systems. Manages the Nordic Sound and Music Computing network and Self-playing Guitars project. Secured funding from EU Erasmus+ and NordForsk for international collaborations in creative technologies. Supervises 15+ graduate students in projects spanning hardware design, evolutionary sound systems, and AI-driven composition tools. Teaching includes Music and Machine Learning, Interactive Music Systems, and Sound Programming courses.

Florian Dapsanceمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Electrical Engineering
• Systems Neuroscience
• +۳ مورد دیگر

Florian Dapsance is a Doctoral Research Fellow in the Department of Physics at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. He is part of the Charlotte Boccara Group - Systems neuroscience & sleep and the Oslo Bioimpedance and Medical Technology Group, contributing to the SmartSense project. His research focuses on developing sensors to study brain-adipose tissue interactions in adolescent mice under sleep deprivation, aiming to understand long-term metabolic effects. Education: PhD Candidate in Biomedical Engineering (2022–Present), University of Oslo Research Master's Degree in Embedded Systems (2020–2021), University of South-Brittany Engineering Diploma in Mechatronics (2018–2021), University of South-Brittany Technology Degree in Electrical Engineering and Industrial Computing (2016–2018), University of Rennes Research Interests: Florian’s work integrates electrical engineering and biomedical applications, leveraging sensor technology and machine learning to explore metabolic responses to sleep deprivation. His interdisciplinary approach bridges physics, neuroscience, and medical sciences. Publications: His 2023 publication in IEEE Sensors Letters highlights advancements in adipose tissue analysis using electrical impedance spectroscopy and machine learning. Advising & Grants: Supervised by Ørjan G. Martinsen (Department of Physics) and co-supervised by Charlotte Boccara (Institute of Basic Medical Sciences), Florian contributes to collaborative research projects like SmartSense. No specific grants are listed. Labs/Teams: Active in the Oslo Bioimpedance and Medical Technology Group and the Charlotte Boccara Group, focusing on systems neuroscience and sleep-related research.

• Information Security
• Communication Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

Amirhosein Taherkordi is an Associate Professor in the Department of Information Security and Communication Technology at NTNU. His research focuses on lightweight adaptation mechanisms in wireless sensor networks (WSNs), emphasizing energy efficiency and reconfigurable component models. He has contributed to the development of adaptable middleware for context-aware systems, evaluated using the Contiki OS. His work addresses challenges in reprogramming and optimizing WSN applications for resource-constrained environments. While no specific educational background is detailed, his affiliations indicate expertise in embedded systems and networked computing. No awards or grants are mentioned in the provided texts, and he has not listed advisees. His research aligns with strategic areas in information security and communication technology at NTNU.

• Automation in Aquaculture
• Marine Systems Engineering
• Fisheries Cybernetics
• +۳ مورد دیگر

Jo Arve Alfredsen is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). He has held an Associate Professor position since 2004, with a PhD and Master's degree in Engineering Cybernetics from NTNU. His research focuses on automation for marine systems, including aquaculture and fisheries. Key areas include mathematical modelling of marine biological systems, sensor development for aquaculture, and fish telemetry. He leads the research group on Automation in Fisheries and Aquaculture. Teaching responsibilities include courses like Industrial and Embedded Computer Systems Design (TTK4155), Topics in Fisheries and Aquaculture Cybernetics for PhD students (TTK8108), and Fish Telemetry . He coordinates the specialization program in fisheries and aquaculture cybernetics and offers Master’s projects in automation and marine instrumentation. Recent research highlights include developing robotic platforms for fish telemetry, optimizing dissolved oxygen levels in salmon cages, and behavioral studies using acoustic telemetry. His work bridges cybernetics, marine engineering, and biological systems to enhance sustainable aquaculture practices.

Lars Bungumمشاهده پروفایل

پژوهشگر

• Machine Translation
• Natural Language Processing
• Unsupervised Clustering
• +۳ مورد دیگر

Lars Bungum is a Researcher in the Department of Computer Science at NTNU Trondheim. His primary focus lies in Machine Translation (MT), Natural Language Processing (NLP), and Domain Adaptation techniques. He completed his doctoral dissertation in 2021 titled "Unsupervised Clustering of Structured and Unstructured Text Collections" . Key research interests include unsupervised clustering methods, cross-domain adaptation for MT systems, and computational linguistics challenges such as negation scope detection and semantic similarity. His work spans both theoretical advancements (e.g., agent-based modeling of language evolution) and practical applications like Twitter sentiment analysis and Norwegian noun compound translation. Bungum has collaborated extensively with Prof. Björn Gambäck and other researchers on projects involving corpus modeling (e.g., PRESEMT Deliverable D3.3.2), statistical MT, and neural language models. His contributions often bridge foundational NLP research with real-world translation challenges, emphasizing scalable solutions for large text corpora. Recent outreach activities include presenting at Nodalida 2023 on multilingual grammatical error detection and participating in panels on machine translation ethics. His research consistently addresses gaps in domain adaptation, corpus utilization, and post-editing strategies for literary texts.

• Computer science
• Data Collection
• Instrumentation
• +۱۱ مورد دیگر

Dominik Osinski is an Associate Professor at the Department of Electronic Systems within the Faculty of Information Technology and Electrical Engineering at NTNU. His work focuses on sensor systems, signal processing, and assistive technologies. He is affiliated with projects like Colorophone (a wearable sensory substitution system) and the Isense echolocation system for visually impaired individuals. Education & Background: While specific educational details are not provided, his competencies suggest expertise in engineering and computer science disciplines. Research Interests: Development of smart sensors and embedded systems Instrumentation and measurement techniques Applications in sensory aids and assistive technologies Virtual instrumentation and software development His projects often bridge hardware and software, such as the DiurEasy urine analysis system and a beam pickup timing monitoring system for CERN experiments. Teaching & Outreach: Involved in teaching and supervising projects related to electronics, signal processing, and automation. Active in promoting accessible technology through initiatives like wearable eye-tracking systems. Labs/Teams: Leads or contributes to teams developing innovative sensor-based solutions, including Colorophone and Isense systems.

Heri Ramampiaroمشاهده پروفایل

استاد

• Information extraction
• Data mining
• Machine learning
• +۲ مورد دیگر

Heri Ramampiaro is Professor and Head of the Department of Computer Science at NTNU, where he also directs the Norwegian Open AI-Lab. His research focuses on artificial intelligence, data mining, and information retrieval systems. Education includes: Ph.D. from Norwegian University of Science and Technology His research spans information extraction methodologies, machine learning applications, and efficient data processing techniques. Current projects develop novel approaches for recommendation systems, knowledge discovery, and large-scale data analysis. Recent publications demonstrate innovations in deep learning architectures for personalized recommendations, evaluation frameworks for ranking algorithms, and applications in healthcare analytics.

• Artificial Intelligence
• Digital Signal Processing
• Machine Learning
• +۷ مورد دیگر

Giampiero Salvi is a Professor at the Department of Electronic Systems, Norwegian University of Science and Technology (NTNU). He is affiliated with the Signal Processing research group and holds academic qualifications from La Sapienza University of Rome (Civil Engineering) and the Royal Institute of Technology (Dr.Scient). His research focuses on artificial intelligence, machine learning, speech processing, and human-machine interaction. Key contributions include advancements in speech recognition systems, neural network architectures for video prediction, and applications in healthcare analytics and cybersecurity. His work bridges theoretical foundations with practical implementations, such as developing pronunciation assessment frameworks for children, Parkinson’s disease detection via speech analysis, and real-time speaker diarization systems. He has contributed to foundational research in acoustic-to-articulatory mapping, explainable AI for clinical prediction, and multimodal dialogue systems. His research often addresses challenges in low-resource languages and clinical settings, emphasizing interdisciplinary collaboration. Salvi’s recent publications highlight trends in foundational models, generative AI for video and speech, and ethical AI applications in healthcare. He actively participates in international conferences and collaborates with institutions like KTH Royal Institute of Technology and the University of Tartu, reflecting his global academic network.

• Semantics
• Natural Language Processing
• Recommender Systems
• +۷ مورد دیگر

Jon Atle Gulla is the Director of NorwAI and a Professor at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on Semantics , Natural Language Processing , and their applications in Recommender Systems , Information Retrieval , and Text Analytics . He has contributed to Digitalization and AI-based Innovation in industrial contexts.

• Internet of Things (IoT)
• Smart City Learning
• Game-Based Learning
• +۴ مورد دیگر

Monica Divitini is a Professor in Cooperation Technologies at the Department of Computer Science, Norwegian University of Science and Technology (NTNU), since 2002. She holds a PhD in Computer Science from Aalborg University, Denmark. Her research bridges technology-enhanced learning, Internet of Things (IoT), and collaborative systems. Education: PhD in Computer Science, Aalborg University Her work focuses on smart city learning , game-based education , and collaborative technologies . She explores how IoT can transform educational practices and urban planning. Key projects include MIRROR , NORDIC-LEAF , and FABULA , which emphasize social and mobile learning frameworks. Divitini has participated in multiple EU-funded initiatives such as CO-CREAT and ASTRA , and national projects like MOTUS . Her publications span topics like privacy-aware games , urban sensing pedagogy , and digital competences for teachers . She contributes to ACM and IEEE conferences, focusing on crisis management systems and reflective learning tools .

Håkon Robbestad Gylterudمشاهده پروفایل

دانشیار

• Dependent Type Theory
• Homotopy Type Theory
• Logic in Computer Science
• +۹ مورد دیگر

Håkon Robbestad Gylterud is an Associate Professor in the Department of Informatics at the University of Bergen, Norway. His academic work bridges mathematics and computer science, with a strong focus on logical foundations and formal systems. University: University of Bergen School: Faculty of Mathematics and Natural Sciences Department: Department of Informatics Position: Associate Professor His research centers on dependent type theory and homotopy type theory (HoTT), aiming to formalize mathematical reasoning and computational structures. He explores foundational concepts such as multisets, iterative sets, and data structures with symmetries within type-theoretic frameworks. His interests extend to category theory, algebra, topology, and the computer formalization of mathematics, emphasizing constructivity and rigorous logical modeling. The recent publications highlight a consistent trend in applying homotopy type theory to diverse mathematical structures—ranging from multisets and sets to planar graphs and category-theoretic constructions. These works demonstrate a deep engagement with univalent foundations and higher-dimensional reasoning, contributing to the theoretical robustness of type systems. No scientific awards are explicitly mentioned in the provided texts. Håkon advises research through collaborative publications, particularly with scholars like Jonathan Cubides and Daniel Gratzer. While no formal grants are listed, his sustained research output suggests active funding and academic support. He leads or contributes to research groups such as the Programming Theory group at UiB. He is involved in several research projects, including Algebraic Type Theory, Multisets and Sets in HoTT, Quoting Operations, and the Anti-Pattern Game. These initiatives reflect both serious theoretical inquiry and creative, interdisciplinary exploration.

• Knowledge-Based Engineering (KBE)
• Advanced Manufacturing Systems
• IoT and Industry 4.0
• +۵ مورد دیگر

Andrei Lobov is an Associate Professor at the Department of Mechanical Engineering and Manufacturing, Faculty of Engineering at NTNU. His research focuses on Knowledge-Based Engineering (KBE), advanced manufacturing systems, IoT integration, and robotics automation. He has extensive experience in developing ontology-based solutions for CAD integration, industrial robotics programming, and human-robot collaboration systems. His work emphasizes interoperability, sustainability, and digital thread implementation across engineering domains. Key research areas include parametric design automation, semantic web applications in engineering, and IoT-driven environmental systems. Recent projects involve optimizing warehouse systems using modular Petri nets, smart textile waste management, and AI-enhanced bearing condition monitoring. He has supervised doctoral research such as Yu Wang's thesis on acoustic emission-based bearing monitoring. Lobov actively publishes in journals like Advanced Engineering Informatics and The International Journal of Advanced Manufacturing Technology. His work bridges theoretical KBE frameworks with practical industrial applications, contributing to both academic conferences (IEEE, AIP) and industry-focused forums. He has organized international conferences like the IEET series and presented at venues such as Nor-Fishing 2024 on digital twin applications in fisheries.

• Cyber-Physical Systems
• Real-Time Data Analysis
• Wireless Sensor Networks
• +۳ مورد دیگر

Karl Øyri is a researcher affiliated with the University of Oslo (UIO) and the Intervention Center at Oslo University Hospital (OUS). His work focuses on real-time data analysis , cyber-physical systems , and wireless sensor networks in biomedical and critical care contexts. Research spans short-range wireless monitoring , physiological signal processing , and sensor network design . His publications (2010–2018) highlight collaborations with institutions like SINTEF and OUS. Scientific awards include the 2010 3rd Poster Prize . His work intersects biomedical engineering , computer science , and health informatics , emphasizing medical IoT and adaptive algorithms.

• Neuroplasticity
• Neural networks
• CNS damage and repair
• +۵ مورد دیگر

Axel Sandvig is a Professor at the Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU). He leads the Integrative Neuroscience Group and is actively involved in clinical-academic research through the Translational Neuroscience Clinical-Academic Research Group (CARG) and the Translational Neuroscience Clinical-Academic Group (CAG) for Alzheimer's Disease. His research focuses on neuroplasticity mechanisms in central nervous system (CNS) damage and repair, investigating structure-function relationships in neuronal assemblies under healthy and pathological conditions. Key themes include adaptive/maladaptive plasticity in CNS injuries, neurodegenerative diseases, and engineered neural networks using 3D interfaces. Recent publications highlight his work on: ALS patient-derived motor neuron networks and synaptic transcript dysregulation Microfluidic systems for neuromodulation studies Criticality in neural networks 3D neural interface engineering Neuroplasticity in Alzheimer's and tauopathy models Microglial interactions in stroke recovery

Aparecido Fabiano Pinatti de Carvalhoمشاهده پروفایل

دانشیار

• Information Systems Design
• Human-Computer Interaction
• Knowledge Management
• +۵ مورد دیگر

Aparecido Fabiano Pinatti de Carvalho is an Associate Professor at the University of Oslo, specializing in Information Systems Design. He works within the Department of Informatics (as inferred from email domain ifi.uio.no ), focusing on interdisciplinary research at the intersection of technology and human collaboration. Research Focus: Augmented Reality, ERP Systems, Research Data Management, and Digital Transformation in industrial and academic settings Collaboration: Works with international researchers across Germany, Norway, and Austria Methodology: Empirical studies, embedded evaluations, and design case approaches Recent publications reveal a strong emphasis on collaborative technology design. Key trends include: Augmented Reality's role in workplace knowledge sharing ERP implementation challenges in SMEs Data management frameworks for collaborative research Digitalisation's impact on production teamwork These works span multiple disciplines including Computer Science, Industrial Engineering, and Organizational Studies.