جست‌وجوی استاد و پژوهشگر

• Microbial Biotechnology
• Synthetic Biology
• Sustainable Biotechnology
• +۳ مورد دیگر

Johannes Fritz Kabisch is a Professor at the Department of Biotechnology and Food Science, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). He leads research on microbial cell factories addressing sustainability challenges through resource-efficient bioprocesses. His work focuses on: Microbial physiology of Bacillus subtilis and Yarrowia lipolytica Enzyme engineering via spore display technology Automation in bioprocess optimization Industrial biotechnology applications Recent publication trends highlight advancements in: Robotic platform integration for bacterial systems Genome minimization of industrial strains Microbial lipid/hydrocarbon production Open-source tools for synthetic biology He teaches courses including: BT8120 - Prokaryote Molecular Biology and Synthetic Biology BT1101 - Introduction to biotechnology TBT4146 - Molecular Genetics Contact: johannes.kabisch@ntnu.no | Office: Kjemi 3, Gløshaugen

Sigbjørn Løland Boreمشاهده پروفایل

پژوهشگر

• Computational Chemistry
• Quantum Chemistry
• Machine Learning Potentials
• +۵ مورد دیگر

Sigbjørn Løland Bore is a Researcher in the Department of Chemistry at the University of Oslo , affiliated with the Hylleraas Center for Quantum Molecular Sciences . His work bridges artificial intelligence and quantum mechanics to develop machine learning potentials for advanced molecular dynamics simulations. Focus areas: first-principles simulations , ionic conductivity in nanoporous materials, and exotic chemical physics . Current projects include adversarial learning for potential optimization and investigating water's phase behavior. Publications trend toward computational chemistry , quantum simulations , and machine learning applications in molecular modeling. Collaborations span institutions like the University of California and Italian research groups.

Nicholas Montfortمشاهده پروفایل

استاد

• Computational Narrative
• Digital Literature
• Text Generation Technologies
• +۴ مورد دیگر

Nicholas Montfort is a Professor at the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen. His work bridges computational methods with literary and aesthetic practices, focusing on digital narrative systems and electronic literature. Affiliation: University of Bergen Key Research Areas: Computational Narrative, Text Generation, Digital Humanities Projects: Center for Digital Narrative (NFR grant #332643) Montfort's research explores computational models for understanding narrative (MEXICA and Curveship-js), digital text technologies, and the intersection of free software practices with literary scholarship. He investigates narrative theory, creative coding, and the materiality of digital works. Recent publications analyze computational language art, teaching with LLMs, and the 70-year history of computer-generated literature. His exhibitions like Hops Ahead and Mark of Help showcase interactive digital narratives and critical technology art. Montfort advocates for Free (Libre) Software through workshops and lectures, emphasizing digital sovereignty and ethical computing practices.

• Computational Astrophysics
• Solar Physics
• Radiative Transfer
• +۴ مورد دیگر

Tiago Pereira is an Associate Professor at the University of Oslo's Institute of Theoretical Astrophysics, affiliated with the Rosseland Centre for Solar Physics. His research focuses on computational astrophysics, radiative transfer, and solar atmosphere dynamics. He holds a PhD in Astronomy and Astrophysics from the Australian National University (2010) and has conducted postdoctoral research at institutions including NASA ARC and Lockheed Martin ATC (2010-2012). His work leverages high-performance computing to model solar phenomena such as spicules, chromospheric heating, and transition region dynamics. Education: PhD in Astronomy and Astrophysics, Australian National University, 2010 Postdoctoral fellowships at NASA ARC, Lockheed Martin ATC, and ANU (2010-2012) His research emphasizes radiative transfer in 3D MHD simulations, with particular attention to NLTE effects and the interplay between chromospheric layers. Key projects include the development of SunnyNet—a neural network approach to radiative transfer—and analysis of data from missions like IRIS and Hinode. Recent work explores spicule dynamics, Kelvin-Helmholtz instabilities in solar plasma, and the role of unresolved fine structures in solar atmospheres. His publications highlight contributions to spectral line formation (e.g., Hϵ, Lyman series), clustering algorithms for spectral profile analysis, and computational tools like the RH 1.5D radiative transfer code. Collaborations span international teams, including studies of solar flares, UV bursts, and coronal heating mechanisms.

Louise Steffensen Schmidtمشاهده پروفایل

پژوهشگر

• Glaciology
• Cryosphere
• Climate Change
• +۳ مورد دیگر

Louise Steffensen Schmidt is a Researcher at the University of Oslo's Department of Geosciences, within the Section of Physical Geography and Hydrology. Her work focuses on glaciology, cryosphere dynamics, and climate change impacts. She holds a PhD in Geophysics from the University of Iceland (2015–2019), an MSc in Physics from the University of Copenhagen (2012–2014), and a BSc in Physics from the same institution (2009–2012). Currently, she leads the MAMMAMIA project exploring mechanisms of ice acceleration in Arctic glaciers. Her research combines field observations, remote sensing, and numerical modeling to study glacier mass balance, meltwater runoff, and subglacial processes in regions like Svalbard and Iceland. Recent work highlights ocean warming's role in Arctic glacier retreat and the degradation of climatic signals in Svalbard glaciers due to rapid warming. Education: PhD in Geophysics, University of Iceland (2015–2019) MSc in Physics, University of Copenhagen (2012–2014) BSc in Physics, University of Copenhagen (2009–2012) Research Interests: Glacier dynamics and mass balance Climate modeling and cryosphere-climate interactions Remote sensing applications in glaciology Subglacial hydro-mechanical processes Publications: Recent studies emphasize Arctic glacier stability, ocean-glacier coupling, and volcano-plume dynamics. Key contributions include quantifying meltwater runoff in Svalbard and optimizing volcanic plume models.

Filippo Sanfilippoمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۷ مورد دیگر

Filippo Sanfilippo is a Professor at the Department of Engineering Sciences, University of Agder (UiA), Grimstad, Norway. He holds a PhD in Engineering Cybernetics from NTNU, specializing in robotic control systems. His research focuses on robotics, wearables, human-robot collaboration, AI, and control theory, with emphasis on applications in healthcare, Industry 5.0, and emergency response. He leads projects like SAKO (Service Robots in Municipal Health Services) and the EMERALD initiative (3D printing biomimetic mechatronic systems). He chairs IEEE Norway Section and the IEEE Robotics & Automation Joint Chapter, and serves as Treasurer of NAIS (Norwegian AI Association). His research groups include Artificial Intelligence, Biomechatronics, and Collaborative Robotics. He coordinates activities in teaching robotics at bachelor/master levels and supervises PhD students. Over 70+ publications span journals like IEEE Transactions and conferences like HICSS and ICRA. Key contributions include VR/AR integration in surgical training, federated learning for edge devices, and adaptive control for flexible robotic joints. He actively promotes interdisciplinary research through digital twins, human-robot teaming frameworks, and ethical AI applications.

• Regional Economics
• Entrepreneurship
• Innovation Systems
• +۳ مورد دیگر

Heidi Wiig is an Assistant Professor at the School of Business and Law, University of Agder. Her research focuses on regional innovation systems, entrepreneurship, and sustainability transitions. She explores topics such as green industrial resilience, cross-cultural entrepreneurship challenges, and global knowledge flows in diverse regional contexts. Her work frequently examines the interplay between environmental policy, economic systems, and technological innovation. Collaborations span international institutions like Oslo, Beijing, and Malmö. Wiig’s publications address pressing issues like pandemic impacts on diversified farming systems and the transformative capacity of industries facing environmental risks. Her research emphasizes policy design and knowledge exchange mechanisms to foster sustainable development. Education Background: While explicit academic qualifications are not detailed in the text, her extensive co-authorship with scholars in economics, environmental science, and policy studies suggests advanced training in related interdisciplinary fields. Research Interests: Heidi Wiig’s work bridges regional economics and global challenges. She investigates how local and global factors influence innovation systems, particularly in industries like aquaculture and technology. Her studies on women entrepreneurs in China highlight digital strategies overcoming cultural barriers, while her analysis of salmon farming industry resilience underscores environmental policy implications. She actively contributes to collaborative projects exploring urban innovation dynamics and pandemic impacts on food systems. Key Themes in Publications: Her articles often combine empirical case studies with theoretical frameworks, addressing topics like sustainability discourses in aquaculture, knowledge sourcing in thick regional innovation systems, and the role of proximity in innovation. She frequently engages with policy relevance, offering insights for stakeholders in regional development and environmental governance.

• Theoretical and computational chemistry
• Quantum molecular sciences
• Enzyme catalysis
• +۴ مورد دیگر

Bjarte Aarmo Lund is a Postdoctoral Fellow in Theoretical and Computational Chemistry at the Hylleraas Centre for Quantum Molecular Sciences , Department of Chemistry, UiT The Arctic University of Norway. His role combines advanced computational research with active teaching responsibilities and science-outreach activities. Education & Qualifications While explicit degrees are not detailed on the page, his position as Postdoctoral Fellow and extensive first-author contributions in high-impact journals imply prior doctoral training in computational chemistry or a closely related field. Research Interests Bjarte’s work sits at the intersection of computational chemistry , enzyme catalysis , and drug discovery . Key themes include: Quantum-mechanical and empirical valence-bond (EVB) simulations of enzymatic reactions Fragment-based inhibitor design targeting antibiotic-resistance enzymes such as OXA-48 Design and optimization of cold-adapted enzymes for biotechnology Development of nitroxide spin probes and conformational tuning for improved EPR spectroscopy Publication Trends Across more than 30 peer-reviewed articles (2017–2024), a clear trajectory emerges from fundamental method development (thermodynamic parameter extraction software ThermoSlope) to applications in medicinal chemistry, structural biology, and enzyme engineering. Recent work coalesces around antibiotic-resistance mechanisms and rational inhibitor discovery, leveraging both crystallographic and advanced computational approaches. Scientific Outreach & Recognition National finalist, Forsker Grand Prix 2017 (science-communication competition) Frequent contributor to Morgenbladet and Forskning.no, translating complex science for the public Lecturer and laboratory supervisor in multiple undergraduate and graduate chemistry courses Teaching & Mentoring Bjarte has served as course responsible for KJE-8705 (Fall 2021), delivered seminars in KJE-1001 General Chemistry , supervised labs in FAR-2021 and MNF-6001 , and lectured in KJE-6001 . His mentoring activities focus on practical computational and experimental training, although no PhD students are explicitly listed.

• Electronic Structure Chemistry
• Quantum Chemistry
• Computational Chemistry
• +۵ مورد دیگر

Ida-Marie Høyvik is a Professor in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Natural Sciences. Her research focuses on electronic structure theory, particularly developing particle-breaking wave function models for open molecular systems. She was a Young CAS Fellow (2022-2024), exploring applications of these models to redox processes. Key contributions include advancements in multilevel Hartree-Fock and coupled cluster methods, and software development (e.g., the eT program). Her teaching includes courses in quantum chemistry, nanotechnology, and data analysis in chemistry. Notable projects involve funded research from the Research Council of Norway and collaborations on educational strategies linking mathematics and engineering. Research Themes: Electronic structure models, wave function theory, redox processes, and computational methods. Awards: Young CAS Fellow (2022-2024). Supervised Theses: Includes doctoral work on real-time coupled-cluster approaches and master’s projects on multilevel Hartree-Fock and coupled cluster methodologies. Software Contributions: Co-developer of the eT electronic structure program. Recent publications highlight innovations in particle-breaking frameworks, fractional charging models, and linear-scaling implementations for large systems. Her work bridges theoretical advancements with practical applications in molecular dynamics and material science.

Thore Egelandمشاهده پروفایل

استاد

• Forensic Genetics
• Biostatistics
• DNA Analysis
• +۳ مورد دیگر

Thore Egeland is a Professor at the Norwegian University of Life Sciences (NMBU), specializing in forensic genetics and biostatistics. He is renowned for co-developing the Familias software, a tool for inferring familial relationships through DNA analysis, which has been pivotal in solving high-profile cases like the identification of missing children in Argentina. His work bridges statistical rigor with real-world applications in forensics, ecology, and disaster victim identification. Egeland has been awarded an international prize for his contributions to research and education, emphasizing both technical innovation and pedagogical outreach. He has led workshops across Latin America and Europe, promoting accessible biostatistical training for forensic practitioners. Education: While specific academic qualifications are not detailed, his role as a Professor indicates advanced degrees in statistics, genetics, or related fields. Collaborations with institutions like the University of Gothenburg and the National Board of Forensic Medicine in Sweden highlight his interdisciplinary expertise. Research Interests: Egeland’s work focuses on statistical methods for forensic genetics, including DNA mixture analysis, kinship inference, and the impact of genetic factors like mutations and inbreeding on forensic accuracy. His Familias software addresses challenges such as degraded DNA and large-scale identification efforts, with applications ranging from criminal investigations to ecological studies (e.g., bear population analysis). He emphasizes the importance of open-source tools and their validation to maintain reliability across diverse contexts. Future Directions: Egeland is adapting Familias to handle emerging technologies like whole-genome sequencing and addressing challenges such as secondary DNA transfer. His research also explores ethical implications of DNA databases and the evolving role of forensic genetics in global justice systems. Awards: International Research and Education Prize (2023), awarded during the 28th International Society for Forensic Genetics Congress in Prague. Advising & Grants: While no specific advisees are listed, his collaborative work with researchers like Daniel Kling and Petter Mostad underscores mentorship in advancing forensic methodologies. Funding and grants are inferred through his participation in international conferences and software development initiatives. Labs & Teams: Central to his work is the development and maintenance of the Familias software, supported by a network of collaborators across universities and forensic agencies. His training programs in Latin America and Europe reflect a commitment to building global forensic expertise.

• Computer Science
• Educational Technology
• Algorithms
• +۳ مورد دیگر

Morten Grønnesby is a Lecturer in Computer Science at UiT, Arctic University of Norway in Tromsø, Norway. His work involves contributions to open-source projects and educational tools. Research interests include algorithm development, programming methodologies, and applications of computer science in education. Projects like the Histology learning tool (Python/JavaScript) and C utilities for mathematical problem-solving (e.g., Euler repository) highlight his focus on practical software development and educational technology. No scientific awards or grants are explicitly listed in the provided information. He maintains several GitHub repositories showcasing work in C, Go, JavaScript, and Python, including projects related to dining hall apps (gofood) and bioinformatics analysis tools (Discrete_curve_group_code). No lab affiliations or team details are mentioned in the text.

• Industrial Ecology
• Environmental Science
• Sustainability
• +۳ مورد دیگر

Konstantin Stadler is the Manager and Lead Researcher of the Industrial Ecology Digital Laboratory at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). His role involves consolidating digital infrastructure, establishing data exchange standards, and developing tools for environmental analysis. Education: PhD in Neuroscience from Charité Berlin/FU Berlin. His research focuses on environmental and social consequences of economic activities, particularly through Multi-Regional Input-Output (MRIO) analysis and open-source software development. Research Interests: Environmental impact assessment, carbon and resource footprints, sustainability policies, and critical mineral supply chains. He contributes to projects like EXIOBASE, DESIRE, and CARBON CAP, emphasizing data transparency and policy relevance. Articles Trends: Recent work addresses carbon border mechanisms, marine plastic impacts, and toxicity footprints, reflecting his commitment to integrating environmental and social metrics into policy frameworks. His tools (e.g., Pymrio, MarINvaders) enhance accessibility of complex environmental data. Awards: No explicit awards listed, but recognized for contributions to EXIOBASE and open-source initiatives. Advising/Grants: Led FP7 projects (DESIRE, GLAMURS) and contributed to EU-funded research. Advises on software development and MRIO applications. Collaborates with international teams on sustainability challenges. Labs/Teams: Leads NTNU’s Industrial Ecology Digital Laboratory, focusing on innovative environmental analysis tools and data-driven policy solutions.

Ragnhild Eskelandمشاهده پروفایل

دانشیار

• Epigenetics
• Chromatin Biology
• Cancer Biology
• +۳ مورد دیگر

Ragnhild Eskeland is an Associate Professor at the Institute of Basic Medical Sciences, University of Oslo (UiO). She holds academic ties with the Faculty of Medicine and leads research on chromatin structure and epigenetic regulation in stem cells and cancer. She has managed significant projects, including the Centre for Cancer Cell Reprogramming (2018-2027) and PharmaTox, focusing on medication safety in pregnancy. Her academic journey includes a PhD from Ludwig-Maximilians University Munich (2006) and postdoctoral research at institutions in Norway and Scotland. Her work integrates techniques like FISH, microscopy, and biochemical methods to study chromatin dynamics, with applications in cancer and developmental biology. Education: Cand. Mag. (Molecular Biology/Chemistry, University of Bergen), PhD (Ludwig-Maximilians University Munich). Key collaborations include Prof. Philippe Collas (UiO), Dr. Tiziana Bonaldi (Italy), and Prof. Kerstin Bystricky (France). Research spans epigenetics, chromatin organization, and cancer biology. Over 40 publications (selected 2017-2023) highlight contributions to chromatin accessibility, transcription factors, and drug toxicity in neuronal cells.

Erik Schytt Mannerfeltمشاهده پروفایل

پژوهشگر

• Glaciology
• Remote Sensing
• Geomatics
• +۳ مورد دیگر

Erik Schytt Mannerfelt is a Doctoral Research Fellow at the University of Oslo's Department of Geosciences (Section for Geography and Hydrology). His research focuses on glaciology, remote sensing, and geospatial software development. He holds an MSc in Geology from the University Centre in Svalbard (UNIS) and a BSc in Earth Sciences from Stockholm University. He previously worked as a scientific assistant in glaciology at ETH Zurich. Key affiliations include the Cryosphere Geomatics and Remote Sensing research groups. His work integrates historical and modern photogrammetry techniques with open-source geospatial tools to study Arctic glaciers and permafrost dynamics. Notable projects include analyzing glacier surges using SAR data and reconstructing historical glacier volumes through archival imagery. Research interests span glacier dynamics, remote sensing applications, and environmental impacts of climate change. He has published extensively on topics like methane emissions from deglaciating permafrost, surge-type glacier detection, and long-term glacial retreat patterns. His interdisciplinary approach combines fieldwork, computational modeling, and satellite data analysis.

Indika Anuradha Mendis Balapuwadugeمشاهده پروفایل

پژوهشگر

• Cognitive Radio Networks
• Wireless Communication
• Dynamic Spectrum Allocation
• +۷ مورد دیگر

Indika Anuradha Mendis Balapuwaduge is a Researcher at the Department of Information and Communication Technology , University of Agder , Norway. He previously served as a Senior Lecturer at the University of Ruhuna (2020-2022) and held postdoctoral and PhD positions at the University of Agder (2017-2020 and 2012-2016). Education PhD in ICT (University of Agder, 2016) MSc in ICT (University of Agder, 2012) BSc in Electrical and Information Engineering (University of Ruhuna, 2008) Research Interests : Focus on Wireless Communication with expertise in Cognitive Radio Networks , Ultra-Reliable Communication , and Applied Machine Learning . His work integrates Dependability Theory and Stochastic Process Modeling to address challenges in 5G/6G Networks , IoT , and Network Slicing . Recent Publications include studies on Electric Vehicle Charging Optimization , Secure IoT Protocols , and 5G Network Slicing . He has contributed to IEEE Transactions and Springer publications, emphasizing Dynamic Spectrum Allocation and Machine Learning Applications .