جست‌وجوی استاد و پژوهشگر

• Sustainable Food Production
• Hygienic Design and Packaging
• Food Processing Equipment Design
• +۳ مورد دیگر

Eirin Marie Skjøndal Bar is an Associate Professor at the Department of Biotechnology and Food Science within the Faculty of Natural Sciences at the Norwegian University of Science and Technology (NTNU). She began her position at NTNU on January 1, 2017, focusing on teaching sustainable food production, hygienic design and packaging in combination with food processing equipment design and development. Prior to joining NTNU, she was employed at SINTEF Fisheries and Aquaculture as a researcher working on technical solutions for the fish processing industry. Dr. Bar holds a Master of Science degree in Mechanical Engineering from NTNU, with a focus on Product Development in combination with Industrial Ecology. After working as a teaching assistant at NTNU for several years, she pursued her PhD on sustainable and profitable aquaculture, defending her thesis titled "Advanced Food Processing Equipment Design for a Sustainable Salmonid Fish Industry in Norway" in September 2015. Her research interests center around sustainable food systems, with particular expertise in the intersection of food processing equipment design and environmental sustainability. Dr. Bar investigates how hygienic design principles can be integrated with sustainability considerations in food processing facilities, especially within the meat and seafood industries. Her work examines food contaminants and their pathways within processing environments, develops tools for sustainable food processing, and explores systemic approaches to reducing food loss in aquaculture value chains. She has made significant contributions to understanding the application of UN Sustainable Development Goals within the Norwegian salmon industry and has conducted extensive research on material flow analysis for sustainable aquaculture practices. An analysis of Dr. Bar's recent publications reveals a consistent focus on sustainability challenges in food production systems, particularly in the Nordic context. Her work spans multiple disciplines including food science, engineering, environmental studies, and aquaculture. A notable trend is her emphasis on practical, systems-based approaches to sustainability that consider the entire food value chain from production to processing. Her research increasingly integrates technical solutions with broader sustainability frameworks, reflecting a holistic approach to addressing complex challenges in food systems. Dr. Bar has been active in teaching and outreach, offering courses on sustainable food production, food safety in manufacturing, and food processing technology. Her teaching portfolio includes supervising bachelor's and master's theses related to food science, technology, and sustainability. She has also been involved in developing educational programs that strengthen graduates' sustainability competence and mindset. Through her extensive publication record and conference presentations, Dr. Bar has established herself as a significant contributor to the fields of sustainable food processing and aquaculture technology. Her work bridges academic research with practical industry applications, demonstrating a commitment to translating scientific insights into tangible improvements in food production systems.

• 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

Daniel Machadoمشاهده پروفایل

دانشیار

• Computational Biology
• Metabolism Modeling
• Microbial Communities
• +۴ مورد دیگر

Daniel Machado is an Associate Professor of Computational Biology at the Department of Biotechnology and Food Science, Norwegian University of Science and Technology (NTNU). He joined NTNU in September 2020 and leads the Machado Lab, which focuses on computational approaches to understanding microbial communities. His work is affiliated with several important research initiatives including SFI - Industrial Biotechnology, a research-based innovation center aiming to boost the competitiveness of the Norwegian biotech industry, and ELIXIR Norway, the national node of the pan-European infrastructure for biological information. Daniel Machado completed his Bsc/Msc in Mathematics and Computer Science at the University of Minho, Portugal, followed by a PhD in Bioengineering and Biotechnology through the MIT-Portugal Program. His academic journey reflects a strong foundation in both computational methods and biological applications. His research primarily focuses on unlocking the potential of microbes to address multiple societal challenges. The Machado Lab uses computational models to understand how microbes work together in their natural habitats, particularly examining microbial communities that play important roles in human health and environmental sustainability. They follow an interdisciplinary approach, combining computational models and biological data to design synthetic communities for biotechnological applications and create more sustainable industries. Key research areas include exploring the functional potential of microbes across diverse ecosystems, understanding metabolic interactions in complex microbial communities, predicting metabolic regulation responses to perturbations, and designing synthetic microbial consortia for sustainable applications. The Machado Lab's work has resulted in significant contributions to the field of computational biology, particularly in genome-scale metabolic modeling. Their research shows that synthetic microbial consortia can run fermentation processes more efficiently than traditional single-organism models through beneficial division of labor. They have also pioneered approaches using more sustainable substrates like lignocellulosic waste rather than sugar, with applications in biofuels, industrial products, and medicines. Daniel Machado actively supervises numerous students at various levels, including PhD candidates Miguel Alves Magalhaes Teixeira, Idun Maria Tokvam Burgos, and Elisa Márquez-Zavala, as well as multiple Master's students. He teaches courses such as BT8120 - Prokaryote Molecular Biology and Synthetic Biology, BT2100 - Computational Biotechnology, TBT4508 - Bioinformatics and Biopolymeric Materials, and TBT4507 - Bioinformatics and Experimental design and data analysis. The Machado Lab maintains strong connections with the broader scientific community through projects like Cell4Chem, which focuses on engineering microbial communities for the conversion of lignocellulose into medium-chain carboxylates. They have developed important computational tools including CarveMe (for genome-scale metabolic model reconstruction), SMETANA (for analyzing interactions in microbial communities), and ReFramed (a metabolic modeling package), which have been widely adopted in the field.

• Prosthetics and Orthotics
• Biomechanics
• Rehabilitation Engineering
• +۳ مورد دیگر

Sadeeq Ali is an Associate Professor at the Faculty of Health Sciences , Oslo Metropolitan University , affiliated with the Department of Rehabilitation Science and Health Technology and the Prosthetics and Orthotics Research Group within the Clinical Interventions and Assistive Technology (CAT) cluster. His research focuses on prosthetic design , biomechanics of amputee stability , and assistive technology for rehabilitation . Key areas include postural control in altered sensory conditions, mechanical behavior of prosthetic foam materials, and sensor-based classification of movement phases. Recent publications highlight his work on prosthetic foot optimization, material testing, and integration of piezoelectric sensors for activity monitoring. His studies contribute to improving clinical outcomes and functional mobility for amputees through advanced prosthetic engineering.

• Soft Matter Physics
• Non-equilibrium Systems
• Self-Assembly
• +۴ مورد دیگر

Paul Gunnar Dommersnes is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU), specializing in non-equilibrium physics and self-assembly phenomena in soft matter and biological systems. His research bridges theoretical and experimental approaches to complex fluid dynamics, membrane biophysics, and colloidal science. His educational background includes a Siv.Ing. degree in applied physics from NTNU and a PhD in theoretical physics from ESPCI Paris. He completed postdoctoral fellowships at MIT (statistical physics) and the Curie Institute, Paris (biophysics), before becoming a permanent faculty member at Paris Diderot University in 2005. He later returned to NTNU where he currently leads research in the Soft and Complex Matter Lab. Dommersnes' research interests focus on soft matter physics , particularly electrohydrodynamics of particle-laden interfaces , lipid membrane dynamics , and field-driven self-assembly . His work explores fundamental mechanisms in Pickering emulsions, lipid nanotubes, and collective cell migration, often revealing connections between non-equilibrium physics and biological processes. Recent publications demonstrate strong emphasis on topological ordering in biological systems , electric field manipulation of soft materials , and food-grade emulsion applications . His publication trends show consistent exploration of interfacial phenomena across multiple scales - from molecular lipid films to cellular collectives. Key recurring themes include electric field effects on soft matter, membrane rupture dynamics, and topological defect formation in biological systems. Dommersnes actively supervises doctoral research, including Alexander Mikkelsen's 2016 dissertation on electrohydrodynamic particle assembly. His teaching portfolio includes advanced courses in nonlinear dynamics (FY8910, TFY4305) and soft matter physics (FY8203, TFY4203). He directs the Soft and Complex Matter Lab at NTNU, which investigates fundamental soft matter phenomena with applications ranging from food science to biomedical engineering. The lab frequently collaborates with international institutions including MIT, Curie Institute, and Brazilian research groups, with recent work focusing on electrohydrodynamics for food-grade emulsions and topological defects in cell monolayers.

• Physics Education
• Bildung
• Science Education
• +۳ مورد دیگر

Ronny Kjelsberg is an Assistant Professor in the Department of Physics at the Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). He serves as Deputy Head of Department for Education (2021-2025) and Study Program Leader for MTFYMA (2024-2025). His academic profile spans physics education research, educational policy, and the intersection of science, technology, and society. Dr. Kjelsberg earned his Cand.scient. in astro-particle physics from NTNU in 2003. His educational trajectory has expanded to encompass scientific methodology, technology and society studies, and research policy, reflecting his interdisciplinary approach to academic work. His primary research focuses on Physics as Bildung, examining how physics education connects disciplinary knowledge with societal contexts. Key research areas include: Physics students' skepticism toward conspiracy theories Integration of societal issues into engineering education Pathways for working-class students entering engineering fields Critical analysis of educational policy and governance His recent publications reveal strong thematic continuity around Bildung-oriented approaches that balance practical usefulness with holistic development. His work frequently employs interdisciplinary methods, combining science education research with perspectives from philosophy, sociology, and political theory. Notable trends include examinations of epistemic beliefs among physics students, class dynamics in engineering education, and the political dimensions of curriculum development. Dr. Kjelsberg maintains active engagement in academic leadership and policy discussions. His committee work spans curriculum development, program design, and educational policy at institutional and national levels. His union and political experience—including five years as chief union representative at HiST and eight years on the County Council of Sør-Trøndelag—provides practical grounding for his research on educational governance. As part of NTNU's Science Education Research section, he collaborates on projects examining the intersection of physics education, societal engagement, and critical pedagogy. His work consistently addresses contemporary challenges in higher education, including academic freedom, educational equity, and universities' role in democratic societies.

• Biophysics
• Medical Technology
• Drug Delivery Systems
• +۶ مورد دیگر

Sofie Snipstad is a researcher at the Department of Physics, Norwegian University of Science and Technology , focusing on Biophysics and Medical Technology . Her work revolutionizes Nanomedicine by developing Ultrasound and Microbubble systems to overcome Blood-Brain Barrier and tumor delivery challenges. This approach aims to reduce side effects in Cancer Therapy while improving treatment efficacy. Current affiliation: NTNU, Department of Physics Primary research areas: Medical Imaging, Drug Delivery Systems, Nanoparticle Dynamics Her peer-reviewed publications (e.g., Journal of Controlled Release , Ultrasound in Medicine and Biology ) highlight novel methods for Ultrasound-Triggered Drug Release and Tumor Microenvironment manipulation. She combines Acoustic Cluster Therapy with Intravital Microscopy to visualize real-time drug distribution in tumors and the brain. Key innovations: Nanoparticle-loaded microbubbles , Platinum chemotherapy delivery , Liver sinusoidal rejuvenation Her outreach includes Forsker Grand Prix presentations and popular science articles in Morgenbladet , Gemini , and Adressa , translating technical findings into accessible content for public understanding.

• Surface Science
• Materials Science
• Computational Chemistry
• +۴ مورد دیگر

Jon Andreas Støvneng is an Associate Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research spans multiple areas of physics and materials science, with a particular focus on computational approaches to understanding surface phenomena and materials properties. Støvneng's research interests primarily focus on surface science , materials science , and computational chemistry . His work frequently employs density functional theory (DFT) calculations to investigate adsorption processes, surface reactions, and material properties. He has also made significant contributions to physics education , particularly in improving laboratory instruction and student feedback mechanisms. His research has applications in catalysis, corrosion science, nanotechnology, and environmental engineering. His publication record shows consistent output spanning over two decades, with recent work focusing on cruise ship emissions, rare earth alloys, chromium oxide surfaces, and physics education methodology. His collaborative approach is evident in numerous co-authored publications across different institutions and disciplines. Notable research contributions include: Comprehensive studies on adsorption processes on chromium oxide surfaces Investigations of rare earth alloys and their catalytic properties Research on shape memory alloys and their surface interactions Development of educational resources including a physics textbook Støvneng has supervised numerous master's students, including Herman Skogseth, Cecilia H Gabrielii, and Andreas Sørbrøden Talberg, indicating his active role in mentoring the next generation of physicists and engineers. His teaching portfolio spans quantum mechanics, classical mechanics, thermal physics, and specialized courses in nanotechnology and bio-physics. His work bridges theoretical and applied physics, connecting fundamental surface science with practical applications in environmental technology, materials engineering, and educational methodology.

• Chemical Engineering
• Biotechnology
• Process Control
• +۳ مورد دیگر

Rafael David de Oliveira is a Research Fellow at the Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU). His work focuses on biochemical process optimization, control systems, and microbial biopolymer synthesis. Current affiliation: NTNU - Department of Chemical Engineering Academic role: Research Fellow Research focus: Bioprocess engineering, metabolic modeling, and industrial system diagnostics Research Interests: Rafael's research bridges chemical engineering and biotechnology, with emphasis on: Dynamic modeling of biological systems Health-aware control strategies Polyhydroxyalkanoates (PHA) production optimization Multiscale process monitoring Metabolic network reformulation Publication Trends (2023-2025): His work demonstrates expertise in combining metabolic engineering with advanced control systems, particularly in: Bioreactor optimization through computational models Subsea industrial system diagnostics Waste resource valorization Dynamic flux balance analysis Teaching Involvement: Participates in chemical process system engineering education through the TKP4135 course at NTNU.

• Chemical Engineering
• Process Control
• Control Systems
• +۳ مورد دیگر

Leif Krister Forsman serves as a Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU), where he conducts research and teaching focused on advanced process control systems within chemical engineering applications. His research expertise centers on systematic methodologies for industrial control systems, particularly split range controllers that manage complex valve configurations in chemical processes. This work addresses critical challenges in process optimization, safety, and efficiency within industrial chemical plants through rigorous engineering design principles. His contributions bridge theoretical control engineering with practical implementation requirements in chemical processing environments. Analysis of his publication record reveals consistent specialization in control system design for chemical engineering processes, with emphasis on structured approaches to controller configuration that enhance operational reliability. His work demonstrates strong alignment between academic research and industrial process control challenges.

• Paper Physics
• Mechanical Pulping
• Microfibrillated Cellulose
• +۶ مورد دیگر

Øyvind Weiby Gregersen is a Professor at the Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU), and former Dean of the Faculty of Natural Sciences. His work spans paper physics, mechanical pulping, and microfibrillated cellulose research, with close collaboration at the Paper and Fibre Research Institute (RISE-PFI). Academic focus areas: Paper physics, mechanical pulping, nanocellulose, CO2 separation Key institutions: NTNU, RISE-PFI Leadership roles: Dean (Faculty of Natural Sciences), Vice Dean (Education and Dissemination) His research centers on cellulose-based nanocomposite membranes, particularly for gas separation applications like biogas upgrading and CO2 capture. Collaborative projects with RISE-PFI emphasize sustainable materials for packaging and energy systems. Recent publications highlight trends in TEMPO-oxidized nanocellulose, phosphorylated fibrils, and PVA composite membranes for gas separation. His work also includes fundamental studies on nanocellulose properties and industrial applications in paper production.

• Molecular Dynamics Simulation
• Adsorption
• Transport Phenomena
• +۷ مورد دیگر

Brian Arthur Grimes is an Associate Professor at the Department of Chemical Engineering , Norwegian University of Science and Technology (NTNU) . His research focuses on molecular dynamics simulation , adsorption , and transport phenomena , with applications in crude oil separation , flow assurance , and chromatography . He joined the Ugelstad Laboratory in 2007 to develop mathematical models for transport and adsorption processes. Ph.D. from University of Missouri-Rolla (2002) Alexander von Humboldt Research Fellowship recipient His work integrates molecular dynamics simulations with continuum modeling and population balance equations to study interfacial mass transport in liquid-liquid dispersions. Recent projects include multi-scale modeling for oil-water separation, microfluidic droplet detection , and CO2 capture membranes . Key publications span 2008–2024 , addressing topics like aggregation of amphiphilic molecules , pipeline restart modeling , and supercapacitor charge dynamics . His scientific awards include the Alexander von Humboldt Research Fellowship. Teaching responsibilities include courses in transport phenomena , surface and colloid chemistry , and chemical engineering specialization projects . He is based at Kjemi 5, K5-339, Gløshaugen , NTNU.

• Chemical Engineering
• Fluid Dynamics
• Multiphase Flow
• +۴ مورد دیگر

Nicolas La Forgia serves as a Researcher in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim, with laboratory facilities at 3204 PFI Gløshaugen. His work centers on experimental and computational investigations of multiphase flow phenomena, particularly droplet and bubble dynamics in turbulent environments. His core research interests include: Chemical Engineering Fluid Dynamics Multiphase Flow Process Engineering Computational Fluid Dynamics Droplet Breakup Mechanics Bubble Dynamics Microchannel Flow Systems Analysis of La Forgia's publication trajectory (2014-2024) reveals a methodological evolution from fundamental two-phase flow studies toward advanced breakage modeling. Early work focused on evaporating bubble systems in microchannels using numerical simulations, while recent research (2020-2024) pioneers high-speed imaging techniques for statistical analysis of droplet breakup events. His 2024 pseudo-Eulerian model represents a significant advancement in predicting breakage frequency and daughter size distribution, building upon systematic investigations of turbulence impacts documented since 2018. The consistent collaboration with Hugo Atle Jakobsen and Eirik Helno Herø demonstrates a cohesive research program addressing industrial-scale fluid dynamics challenges. No scientific awards are documented in available sources. While student advisement records and grant funding details remain unspecified, La Forgia's doctoral foundation (2014 dissertation on evaporating bubble systems) has directly informed his current experimental frameworks. His conference presentations at Population Balance Modelling and CHISA events indicate active knowledge dissemination within the chemical engineering community, though laboratory team structures are not detailed in source materials.

Heinz Adolf Preisigمشاهده پروفایل

استاد

• Process Systems Engineering
• Ontology-based Computational Engineering
• Multi-scale Modeling
• +۵ مورد دیگر

Heinz Adolf Preisig is a Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). With an extensive international academic career, Professor Preisig has held positions at Texas A&M University (USA) as Associate Professor, University of New South Wales (Australia) as Senior Lecturer, and Eindhoven University of Technology (Netherlands) as Professor of Chemical Engineering, Physics, and Electrical Engineering before joining NTNU. His research focuses on Process Systems Engineering with particular emphasis on ontology-based computational engineering, multi-scale modeling, and materials modeling frameworks. Professor Preisig has developed systematic approaches for constructing, manipulating, and simplifying process models through hierarchical ontology-based software suites. His work bridges theoretical modeling frameworks with practical industrial applications, with significant contributions to process modeling methodologies that integrate mechanistic reductionism with holistic empirical components. His research spans from fundamental theoretical developments to applied industrial projects across multiple sectors including energy, materials, and chemical processing. Analysis of Professor Preisig's publication record (2017-2022) reveals a clear trajectory toward more sophisticated ontology-based modeling approaches with increasing integration of semantic web technologies with traditional process engineering. His work demonstrates consistent development of frameworks that enable better model interoperability, reusability, and systematic construction across different domains. A significant portion of his recent work focuses on multi-scale modeling applied to complex materials like polyurethane foams and biomass conversion processes, showing his ability to connect fundamental physical principles with practical engineering applications through advanced computational frameworks. Professor Preisig has been instrumental in major European research initiatives: VIPCOAT Horizon2020 Project: Creating an open innovation platform for corrosion protection coatings in the aeronautic industry MarketPlace EC Horizon 2020 project: Developing a Materials Modelling and Collaboration platform as a one-stop-shop for materials modeling MoDeNa Framework 7 Project: Building multi-scale software frameworks for polyurethane foam modeling EcoLodge: Bio fuel production project using coupled bio reactors He teaches core courses at NTNU including TKP4106 Process Modelling, TKP4135 Process Systems Engineering, and supervises chemical engineering specialization projects. His teaching philosophy centers around models as the foundational concept in engineering education, emphasizing multi-scale understanding and systematic model construction. Professor Preisig leads the Process Systems Engineering group at NTNU, which develops computer-aided modeling tools for systematic process model construction, documentation generation, and code implementation across various simulation environments.

Kai Olav Ellefsenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Deep Learning
• Evolutionary Algorithms
• +۶ مورد دیگر

Kai Olav Ellefsen is an Associate Professor at the Department of Informatics (IFI), University of Oslo, specializing in biologically inspired artificial intelligence and robotics. He leads research within the Robotics and Intelligent Systems (ROBIN) research group, focusing on how biological principles can inform the development of more intelligent robotic systems. Ellefsen's research interests span multiple areas of artificial intelligence, with particular emphasis on evolutionary algorithms, reinforcement learning, and neuroevolution. His work explores how robots can learn from experience without disrupting previously acquired knowledge, adapt to new situations, interpret sensor data, and build environmental models. He investigates these challenges at various levels of abstraction, from simple simulations to real-world robotic implementations. His research often bridges computer science with biological inspiration to create more robust and adaptive intelligent systems. His recent publications demonstrate a strong focus on quality-diversity optimization, evolutionary robotics, and the application of AI to environmental monitoring and network quality assessment. The research shows a consistent pattern of exploring how diversity in evolutionary algorithms can lead to more robust solutions, how robots can adapt to changing environments, and how predictive models can be transferred across different tasks. There's a clear progression from theoretical exploration of evolutionary algorithms to practical applications in robotics and networking. Norwegian Artificial Intelligence Society Best Master Thesis Award (2010) Ellefsen actively supervises numerous PhD and Master's students, with a current focus on evolutionary robotics, neuroevolution, and AI safety. His supervision portfolio includes both theoretical work on evolutionary algorithms and practical applications in robotics. He has been involved in several research projects including the Predictive and Intuitive Robotic Assistant (PIRC) project. His teaching includes courses such as IN3050/4050 - Introduction to Artificial Intelligence and Machine Learning, and IN5490/9490 - Advanced Topics in Artificial Intelligence for Intelligent Systems. As part of the Robotics and Intelligent Systems (ROBIN) research group, Ellefsen collaborates with researchers working on various aspects of intelligent systems, from theoretical foundations to practical implementations. His work often involves interdisciplinary collaboration, particularly with researchers in mechanical engineering, biology, and environmental science to develop robotic systems with real-world applications.