جستجوی استاد راهنمای دانشگاهی

Ole Winther is Professor in High dimensional biological data analysis/Machine learning at the Department of Biology, University of Copenhagen and Professor in Data science and complexity at DTU Compute, Technical University of Denmark. He serves as CRO and co-founder of raffle.ai, CTO and co-founder of FindZebra, Head of ELLIS Unit Copenhagen, and co-PI of the Machine Learning for Life Science Center. His research spans Bioinformatics , Machine Learning , and AI for Science , focusing on applying deep learning to biological sequence analysis, latent variable models, and medical NLP. Winther's work develops predictive and generative models for bioinformatics, with significant contributions to protein localization tools (SignalP, DeepLoc, DeepTMHMM), single-cell genomics, and novel deep learning architectures like variational autoencoders and diffusion models. Analysis of Winther's recent publications (2023-2025) reveals a strong trend toward integrating protein language models with traditional bioinformatics approaches and applying diffusion models to scientific problems. His work bridges theoretical machine learning advancements with practical applications in biology and medicine, particularly in protein sequence analysis, medical search engines, and scientific simulation acceleration. Winther currently supervises a diverse research group including Panagiotis Antoniadis, Rachael M. DeVries, Jun Wang, Beatrix M. G. Nielsen, Felix G. Teufel, Irene R. Rodriguez, Anders Christensen, and Christopher Heje Grønbech. His former students have established successful careers at institutions including Google, Apple, and various startups, with notable alumni like Casper Sønderby (Google Brain) and Søren Sønderby (Apple). He leads significant research initiatives including the ELLIS Unit Copenhagen and the Machine Learning for Life Science Center, while maintaining active industry partnerships through his co-founded companies raffle.ai (enterprise search using NLP) and FindZebra (search engine for rare diseases). His teaching includes Deep Learning courses at both DTU (02456) and University of Copenhagen (NDAK24002U).

• Bioinformatics
• Machine Learning
• Deep Learning
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Aberham Hailu Feyissa is an Associate Professor at the National Food Institute of the Technical University of Denmark , specializing in process modeling and sustainable food engineering. His research bridges complex transport phenomena with practical food manufacturing challenges. Ph.D. in Food Process Engineering, Technical University of Denmark MSc in Food Science, K.U.Leuven and Universiteit Gent BSc in Chemical Engineering, Bahir Dar University His work focuses on coupled mass and heat transfer during solid food processing, aiming to develop robust first-principles models for predictive process optimization. Key applications include Ohmic heating , digital twin technology , and bioactive ingredient extraction . Recent publications highlight his contributions to sustainable food processes , including insect-based feed modeling , seaweed bread kinetics , and clean-label cheese formulation . His methodological innovations span FTIR spectroscopy , computational fluid dynamics , and kinetic modeling . Supervisor for PhD students S. S. Turgut , M. E. Jabali , and Dahal S. Principal Investigator for projects like Modelling and Digitalisation of Food Processes and Sustainable Extraction of Bioactive Insect Fractions Active in conference presentations and peer review , he drives advancements in food process understanding through mechanistic modeling and mathematical simulation .

• Food Process Engineering
• Heat and Mass Transfer
• Transport Phenomena in Porous Media
• +۷ مورد دیگر

Allan Larsen is a Professor and Deputy Head of Division at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark. He heads the Operations and Supply Chain Management Section. His academic background includes an MSc in Applied Mathematics and a PhD in Operations Research, both from DTU. He teaches courses in Operations Management and Simulation at both undergraduate and graduate levels. Research Focus: His work applies operations research methodologies to complex planning problems in supply chain management, logistics, healthcare operations, and public transport. Key areas include urban freight transport, healthcare supply chains, and optimization of public transport resources like crew and fleets. Collaborations with industries, especially in freight transport, have been extensive. He previously co-directed the Transport DTU research center and co-chaired Denmark’s Transport Innovation Network. Education: MSc in Applied Mathematics (1989–1995), PhD in Operations Research (1997–1999), both from DTU. Recognition: Recipient of the Hedorf’s transportpris award in 2022 for contributions to transport research. Research Projects: Supervises multiple PhD students (e.g., on electric freight transport, healthcare resource optimization, and Industry 4.0 applications). Active in projects like 'Pioneering Electric Heavy-Duty Freight Transport' and 'Resource optimization in healthcare.' Labs/Teams: Leads the Operations and Supply Chain Management research group and collaborates in initiatives like the Transport Innovation Network, focusing on sustainable transport solutions.

• Operations Research
• Supply Chain Management
• Logistics
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Jan Madsen is a Professor at DTU Compute, Technical University of Denmark, and Head of the Embedded Systems Engineering section. His research focuses on system-level modeling and design of embedded computing systems, particularly cyber-physical systems, microfluidic biochips, and synthetic biology applications. Develops design automation tools and methodologies for embedded systems Supervises numerous PhD students and leads major research projects Research Interests Key areas include: Embedded systems-on-a-chip Cyber-Physical Systems (Internet-of-Things) Microfluidic Lab-on-Chip devices Synthetic biology with molecular computing Design, modeling, and optimization of complex systems Scientific Awards DATE Fellow (2019) IEEE CEDA Outstanding Recognition (2019) DTU Scientific Advise Award (2013) Best Paper Awards at MECO (2013) and CASES (2009) Jorck’s Foundation Research Award (1995) Publications His 14+ journal papers and 115+ conference papers demonstrate expertise in: SystemC-based modeling frameworks Energy-aware sensor networks Self-healing eDNA architectures Microfluidic biochip synthesis RTOS modeling and MPSoC exploration

• Embedded Systems
• Cyber-Physical Systems
• Microfluidic Biochips
• +۵ مورد دیگر

John M. Woodley is a distinguished Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), where he leads research at the PROSYS - Process and Systems Engineering Centre and contributes to the DTU Microbes Initiative. With over 30 years of experience, he has established himself as a leading expert in biocatalysis and bioprocess engineering, with research spanning both theoretical and experimental work across multiple scales. His primary research interests focus on the interface of bioprocess engineering, process chemistry, and reaction engineering. Dr. Woodley's work encompasses multi-step biocatalysis (including systems biocatalysis and flow chemistry), downstream processing from biocatalytic reactors and fermentations (including ISPR), modeling tools for bioprocess assessment (thermodynamics, kinetics, process simulation, economic evaluation), and bio-oxidations (including oxygen supply methods). His enzymatic investigations particularly target alcohol oxidases, carbohydrate oxidases, cytochrome P450s, Baeyer-Villiger monooxygenases, and transaminases. His research portfolio demonstrates consistent innovation in sustainable chemical production, with particular emphasis on enzymatic synthesis of pharmaceuticals and chemicals from renewable resources. Analysis of his recent publications reveals a strong focus on overcoming industrial implementation challenges, particularly regarding enzyme stability in various reactor environments, optimization of multi-enzyme systems, and scale-up methodologies for biocatalytic processes. Dr. Woodley actively supervises multiple PhD students and leads several significant research projects, including 'P450-based biocatalytic processes for the pharmaceutical industry' (2025-2028), 'Integrated model for up- and downstream bioprocess intensification' (2024-2027), and 'ENFACE: A tool for prediction of enzyme stability at gas-liquid interfaces' (2024-2027). His work has resulted in an impressive publication record of 781 research outputs across various formats, including journal articles, book chapters, and conference proceedings. His research group operates within the Department of Chemical and Biochemical Engineering at DTU, utilizing advanced facilities for biocatalysis research, including specialized reactor systems for studying gas-liquid interfaces, computational modeling resources, and laboratories for enzyme characterization and bioprocess development. Through his leadership in the PROSYS center, he contributes to DTU's strategic focus on sustainable process technologies and systems engineering.

• Biocatalysis
• Bioprocess Engineering
• Enzyme Technology
• +۶ مورد دیگر

Asbjørn Moltke is a Postdoctoral Researcher at the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), working within the Fiber Sensors & Supercontinuum research group. His research is centered on advanced photonic technologies, including supercontinuum generation, ultrafast lasers, and nonlinear optical phenomena, with applications in renewable energy and biosensing. His research interests span nonlinear optics , fiber photonics , UV light generation , and laser-based material processing . He applies these technologies to areas such as solar cell fabrication , optical sensing , and metasurface engineering . His work contributes to UN Sustainable Development Goals related to clean energy and responsible innovation. The recent publications highlight a strong trend in developing high-power, low-noise UV and visible supercontinuum sources through pump modulation techniques, as well as their application in solar cell processing and biomolecular detection . These works reflect a multidisciplinary approach combining theoretical modeling, numerical simulation, and experimental validation in advanced photonic systems. No scientific awards were mentioned in the provided text. Asbjørn Moltke has been involved in significant research projects and has served as a supervisor in a PhD project focused on UV supercontinuum sources and metasurfaces. He has presented his work at international conferences, demonstrating active engagement in the scientific community. While no specific grants are listed, his participation in funded PhD projects indicates involvement in competitively supported research. He is affiliated with the Fiber Sensors & Supercontinuum group at DTU, a leading team in nonlinear fiber optics and advanced light source development. This team focuses on pushing the boundaries of supercontinuum technology for industrial and biomedical applications.

• Nonlinear Optics
• Photonics
• Fiber Optics
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Claus Thustrup Kreiner is a Professor of Economics and Director of the Center for Economic Behavior and Inequality (CEBI) at the University of Copenhagen's Faculty of Social Sciences, Department of Economics. He also serves as Area Director of Public Economics in the CESifo network and was co-editor of the Journal of Public Economics from 2014 to 2020. Kreiner has held various leadership positions including Director of the Economic Policy Research Unit (EPRU) since 2005 and Director of the Center of Excellence WEST from 2011-2013. Education: Ph.D. in Economics, University of Copenhagen, 1998 Visiting Ph.D. student, University of York, 1996 M.Sc. in Economics, University of Copenhagen, 1994 B.Sc. in Economics, University of Copenhagen, 1991 Claus Thustrup Kreiner's research primarily focuses on Public Economics , with secondary specializations in Labor Economics, Household Finance, Applied Microeconometrics, and Experimental Economics. His work examines inequality in income, wealth and health, optimal redistribution policy, and behavioral responses to public policy. Kreiner has conducted significant research using Danish administrative data to analyze tax compliance, labor supply responses, and inequality dynamics. His research often involves collaborations with institutions like Columbia University, London School of Economics, and UC Berkeley. His recent publications reveal a strong focus on inequality across multiple dimensions (income, wealth, health, life expectancy), tax policy design and compliance, labor market responses to policy changes, and the intersection of behavioral economics with public policy. Kreiner frequently employs high-frequency administrative data from Denmark to provide empirical evidence on how individuals and households respond to economic policies and shocks. Scientific Awards and Recognition: Appointed Knight of The Order of Dannebrog by Queen Margrethe II (2018) The Invisible Hand Award from the Society of Social Economics (2006, 2001) Best Teacher Award from the Study Board of Economics at University of Copenhagen (2002) Research Fellow at Centre for Economic Policy Research (CEPR), London (2009-) Kreiner has supervised numerous students primarily in Public Economics and has received multiple research grants including from the Danish Social Science Research Council (2003, 2006, 2009), International Growth Center (2009), and Danish National Research Foundation (1998-2003). He has served on important policy bodies including as co-chair of the Danish Economic Council (2010-2014) and member of the Danish Tax Commission (2008-2009). As Director of CEBI (Center for Economic Behavior and Inequality), Kreiner leads a major research center funded by the Danish National Research Foundation. He also directs the Economic Policy Research Unit (EPRU) and has been instrumental in establishing research collaborations through networks like CESifo. His work bridges academic research and policy application, as evidenced by his practical policy experience with government commissions.

• Public Economics
• Public Finance
• Public Policy
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Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.

• Medical Ultrasound
• Biomedical Signal Processing
• Digital Signal Processing
• +۴ مورد دیگر

Jens O. Brunner is a Professor of Decision Science in Healthcare at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics. Previously, he held a professorship at the University of Augsburg until March 2023 and served as co-director of the University Center for Health Care (UNIKA-T) from 2013 to 2020. He earned his PhD from the TUM School of Management (2009) and a diploma in Business Administration from the University of Mannheim (2006). Roles: Professor, Department Editor for Health Care Management Science , and Associate Editor for multiple journals. Education: PhD in Management, TUM School of Management (2009) Diploma in Business Administration, University of Mannheim (2006) His research focuses on healthcare operations management and the application of quantitative methods to optimize service systems. Key areas include triage policies, staff scheduling, and AI-driven healthcare solutions. His work has contributed to improving resource allocation in hospitals and pandemic response strategies. Notable awards include the Harold W. Kuhn Award (2015) and the IISE/SSE Outstanding Innovation Award (2022). His research has been published in journals like IIE Transactions and European Journal of Operational Research . He supervises PhD students in projects such as AI-integrated pooling strategies and resource optimization in healthcare. His involvement in interdisciplinary collaborations and editorial roles highlights his leadership in advancing healthcare operations research.

• Healthcare Operations Management
• Operations Research
• Analytics
• +۳ مورد دیگر

Hossein Nami is an Associate Professor at the Department of Green Technology (IGT) and SDU Life Cycle Engineering at the University of Southern Denmark . His research focuses on Power-to-X , Hydrogen production , E-fuel , and system modeling for sustainable energy solutions. PhD, University of Tabriz (2018) Postdoc, Technical University of Denmark (2020-2022) Assistant Professor, University of Southern Denmark (2022-2025) Nami's research output includes 15 articles (2024-2026) on topics like ammonia-fueled fuel cells , geothermal cycles , chemical looping combustion , and electrolysis optimization . His work emphasizes techno-economic analysis, exergy efficiency, and multi-objective optimization for low-carbon energy systems. He leads the FLEX-ENVIRONMENT project (2024-2027) on electrolyzer integration and contributes to CARMA-Green Fuels (2023-2026) and GRACE (2025) for carbon management and grid-aware investment. His teaching includes supervision of MSc theses on renewable hydrocarbons and power-to-X technologies at SDU.

• Power-to-X
• Hydrogen
• E-fuel
• +۳ مورد دیگر

John Bagterp Jørgensen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computational methods for Model Predictive Control (MPC), numerical optimization, and dynamic optimization, with applications in industrial processes, biomedical systems, and sustainable energy. He holds leadership roles in 2-control ApS, a company developing advanced control solutions for industries such as cement production and oil recovery. Education: PhD and M.Sc. in Technical Sciences from DTU (1997–2005 and 1991–1997). Professional experience includes roles as an Assistant Professor at DTU and CTO/CEO at 2-control ApS. Research interests span MPC algorithms, numerical methods for differential equations, and system identification. His work bridges academia and industry, addressing challenges in energy efficiency, vaccine manufacturing, diabetes treatment, and cement production processes. His recent articles emphasize industrial applications of control systems, including cement rotary kiln dynamics, vaccine production optimization, and dual-hormone artificial pancreas development. He has received the Nordic Energy Research Award (1994) and contributed to UN Sustainable Development Goals related to affordable energy and industrial innovation. Advising and grants: Supervises multiple PhD projects on topics like electrification of industrial processes and sustainable SCP production. Collaborates with global institutions on energy and biomedical research. Labs/teams: Leads teams in DTU’s Scientific Computing and Center for Energy Resources Engineering, with active partnerships in industry and academia.

• Model Predictive Control
• Numerical Optimization
• Process Control
• +۵ مورد دیگر

Birgitte Bak-Jensen is a Professor at the Department of Energy, Aalborg University, where she has worked since 1988. She specializes in intelligent control of power distribution systems, with research focusing on grid stability, power quality, and integration of dispersed generation and smart grid technologies. Her work also addresses multi-energy system interactions between electrical grids, heating, and transport sectors. Projects : Led EU H2020 projects (SERENE, SUSTENANCE) and Danish initiatives (EFFORT, SMARTCE2H) Publications : Over 250 papers on distribution grid control and smart energy systems Her research combines renewable energy integration , electric vehicle grid interaction , and energy storage optimization . Recent work includes explainable AI for wind forecasting and voltage control strategies for EV charging. 2025 Awards : Best Student Paper Award (2023), Best Paper Award (2021), CIGRE Technical Council Award (2018) Organizational Roles : Vice Head of AAU Energy Research, leadership positions in IEEE and CIGRE

• Smart Grids
• Electric Power Distribution Systems
• Multi-Energy Systems Integration
• +۶ مورد دیگر

Jiri Srba is a Professor at Aalborg University's Department of Computer Science, part of the Technical Faculty of IT and Design. He leads research in the Distributed, Embedded and Intelligent Systems group and contributes to projects like "ControLing wAter In an uRban Environment" and "Collective Adaptive System SynThesIs using Non-zero-sum Games". His office is located at Selma Lagerløfs Vej 300, 9220 Aalborg Øst, Denmark. Contact him at +4599409851 or srba@cs.aau.dk. His core research focuses on formal methods and applied computer science: Model checking and verification of concurrent systems Petri nets and their applications Network protocol verification and synthesis Distributed system correctness Automated reasoning for industrial systems His publication record shows strong emphasis on network verification, model checking optimization, and applying formal methods to environmental systems. Recent work integrates computer science with sustainable engineering, particularly in water management systems and energy control.

• Formal Methods
• Model Checking
• Petri Nets
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Remus Teodorescu is a Professor at AAU Energy , Aalborg University , specializing in Power Electronics System Integration and Materials . His work bridges Lithium-Ion Batteries , Modular Multilevel Converters , and Smart Battery Systems . Education : Not explicitly mentioned in the text. Research Interests focus on Battery Management Systems , AI-Driven Energy Optimization , and Power Electronics for renewable energy integration. Key projects include Digital Twin for Lithium-Ion Batteries and BMS-DC for Data Centers . Recent Publications (2025) emphasize Finite Set MPC , Gradient Descent Optimization , and AI in Battery Parameter Estimation . His 2024 work explores Physics-Informed Neural Networks and Fault-Tolerant Converters . Scientific Awards : Villum Foundation Grant (313 million kroner, 2021) Named world's best in electrical engineering (2023) Advising includes supervising PhD projects on AI-Accelerated Battery Twins and Data-Driven SOH Estimation . Collaborations span Energy Cluster Denmark and Villum Fonden .

• Battery (Electrochemical Energy Engineering)
• Modular Multilevel Converter
• Lithium-Ion Batteries
• +۶ مورد دیگر

Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.

• Theoretical Biophysics
• Complex Systems
• Chaos
• +۶ مورد دیگر