جست‌وجوی استاد و پژوهشگر

Pablo Cruz-Moralesمشاهده پروفایل

پژوهشگر

• Natural Products
• Biosynthetic Gene Clusters
• Streptomyces
• +۶ مورد دیگر

Pablo Cruz-Morales serves as a Senior Researcher at the Novo Nordisk Foundation Center for Biosustainability, part of the Technical University of Denmark (DTU), where he leads the Yeast Natural Products research group within the DTU Microbes Initiative. His work contributes to multiple UN Sustainable Development Goals through sustainable bioproduction research. His research expertise spans natural product discovery, biosynthetic gene cluster analysis, and Streptomyces genomics. Cruz-Morales specializes in evolutionary analysis of biosynthetic pathways, synthetic biology applications for natural product enhancement, and computational methods for genome mining. His fingerprint reveals strong focus areas in Gene Clusters (100%), Streptomyces (62%), Natural Products (60%), and Biosynthetic Gene Clusters (32%). Cruz-Morales' publication record demonstrates significant contributions to microbial biotechnology, with recent work spanning phylogenetics, mycoparasitism mechanisms, edible mycelium engineering, and co-evolutionary analysis of biosynthetic pathways. His research bridges computational genomics with practical applications in sustainable production systems. Cruz-Morales actively supervises five PhD students across diverse projects including yeast-based biosensors, structural variant calling in centromeres, computational graph methods for natural product discovery, Streptomyces genome mining, and synthetic biology applications for smart farming. His collaborative network spans multiple institutions with significant international engagement. As part of the Novo Nordisk Foundation Center for Biosustainability, Cruz-Morales contributes to cutting-edge research in sustainable bioproduction through the integration of computational genomics, synthetic biology, and microbial engineering approaches.

Seyed Soheil Mansouriمشاهده پروفایل

دانشیار

• Process Design
• Bioprocess Engineering
• Process Systems Engineering
• +۵ مورد دیگر

Seyed Soheil Mansouri is an Associate Professor at the Department of Chemical and Biochemical Engineering, Technical University of Denmark. He holds a PhD (2016) and MSc (2013) from DTU. His expertise spans process design, bioprocess engineering, and quantum computing applications in chemical systems. He leads the KT Consortium PROSYS - Process and Systems Engineering Centre. Research focuses on sustainable biomanufacturing, data-driven modeling, and quantum computing for process optimization. Key areas include photobioreactor design, machine learning in biosystems, and hybrid quantum-classical algorithms. He has supervised 14 PhD projects and co-authored 182 publications. Awards include Best Contributed Paper (2018), Best Oral Presentation (2015), and multiple best presentation awards. Active in organizing workshops on quantum computing and biorefineries. Advises on modular manufacturing, bio-succinic acid production, and AI-driven process systems. Develops digital twin technologies for bio-manufacturing and promotes open innovation. His work aligns with UN Sustainable Development Goals, emphasizing education and sustainable industrial practices. Current projects explore quantum computing in bioprocesses and modular vaccine production units.

Jonas Hedmanمشاهده پروفایل

استاد

• Payment Systems
• Digital Infrastructure
• Blockchain Technology
• +۴ مورد دیگر

Jonas Hedman is a Professor in the Department of Digitalization at Copenhagen Business School (CBS), Denmark. His research focuses on the digital transformation of financial systems, particularly payment technologies, cashless societies, and digital infrastructure. He has authored over 149 publications and is frequently engaged in media discussions on the future of money and digital finance. His research interests span Payment Systems , Digital Infrastructure , Blockchain Technology , Cashless Society , FinTech , and Business Models in Digital Contexts . Hedman's work often examines the socio-technical dynamics of digital payment ecosystems, the evolution of global payment infrastructure, and the implications of cashlessness in societies like Sweden and Denmark. He also investigates API product quality and the role of digital offerings in transforming traditional industries. Analysis of Hedman's recent publications (2021-2025) reveals a strong emphasis on the transition to cashless societies, with multiple studies on Sweden's move away from cash and the implications for merchants and consumers. His work also explores blockchain applications in finance, the development of instant payment systems, and the governance of digital identity. A recurring theme is the tension between technological evolution and institutional arrangements in global payment infrastructure. Scientific Awards: No specific awards were mentioned in the provided information. Advising and Activities: Professor Hedman has supervised 28 students and academic projects. He is highly active in the academic community with 79 recorded activities, including lectures and conference participations on topics such as mobile payments and digital infrastructure. Additionally, he is a prominent media commentator with 195 press contributions, providing expert insights on digital finance and cashless societies.

• Digital Twins
• Robotics
• Manufacturing Systems
• +۱ مورد دیگر

Daniella Tola serves as an Assistant Lecturer in the Department of Electrical and Computer Engineering at Aarhus University, Denmark, focusing on the integration of digital twin technology with robotics for industrial applications. Her work bridges theoretical frameworks and practical implementations in manufacturing automation. Her research portfolio centers on: Digital twin development for manufacturing systems Modular robotics integration Anomaly detection in robotic operations Visualization techniques for cyber-physical systems Analysis of her recent publications (2023-2024) reveals a strategic emphasis on enabling digitalization in modular robotic systems, with particular attention to cooperative digital twins and unit-level manufacturing applications. Her work consistently addresses practical implementation challenges through modeling approaches and standardized frameworks like URDF. International collaboration is evident through her 2022 visiting researcher position at Queensland University of Technology, reflecting active engagement in the global robotics research community.

Hanaa Dahyمشاهده پروفایل

دانشیار

• Biocomposite Engineering
• Sustainable Architecture
• Natural Fibre Materials
• +۵ مورد دیگر

Hanaa Dahy is an Associate Professor at the Department of Sustainability and Planning within the Technical Faculty of IT and Design at Aalborg University. Her research focuses on sustainable architecture, biocomposite materials, and innovative fabrication techniques. She leads projects such as the LightPRO Shell and FlaxPack, exploring natural fiber-reinforced polymers (NFRP) for lightweight, deployable structures and architectural applications. Key research areas include: Biocomposite engineering Material innovation for sustainable construction Integration of automation and computational design in architecture Natural fiber pultrusion and moldless fabrication Her work emphasizes circular economy principles, resilient urban systems, and bio-based materials. Recent projects involve shape-memory polymers, self-shaping materials, and nature-based solutions for urban resilience. Awards & Recognition: Honorary Acknowledgement from Egyptian Engineering Syndicate (2024) Design Award (2023 Venice Biennale) SIT Furniture Design Award (2023) DigitalFUTURES Arabic Prize (2023) Michael Owen Jones Distinguished Lectureship at UVA (2023) Her contributions bridge material science and architectural design, addressing global sustainability challenges through interdisciplinary collaboration.

Simon Bøghمشاهده پروفایل

دانشیار

• Deep Reinforcement Learning
• Space Robotics
• Industrial Robotics
• +۵ مورد دیگر

Simon Bøgh is an Associate Professor at the Department of Electronic Systems within The Technical Faculty of IT and Design at Aalborg University. His research focuses on Deep Reinforcement Learning applied to space robotics , industrial robotics , and industrial processes , emphasizing autonomous decision-making through trial-and-error learning and integration of human expert demonstrations. Key areas include robotics control systems, predictive analytics, and AI-driven automation. He leads or participates in high-impact projects such as RIACT: Radical Innovation of Adaptive Cobot Technology and CAPeX: Pionercenter for Accelerating P2X Materials Discovery . His work contributes to UN Sustainable Development Goals related to Industry and Production, leveraging Industry 4.0 technologies like IoT and predictive analytics. Education: Not explicitly stated in provided texts. Research Highlights: Development of reinforcement learning frameworks for planetary rovers (e.g., RLRoverLab), corrosion detection systems, and collaborative robot control. Dr. Bøgh has received prestigious awards, including the Novo Nordisk Foundation's Prize for Excellence in Technical Science Teaching (2025) and the IEEE iSpaRo 2024 Best Paper Runner-up Award . He actively engages in academic and industrial collaborations, delivering talks on AI in robotics and space exploration. His research group collaborates with industry partners and academic institutions globally, addressing challenges in autonomous systems , robotic manipulation , and smart manufacturing . Current lab activities include advancing reinforcement learning algorithms for space exploration and industrial process optimization.

Simon Didriksenمشاهده پروفایل

پژوهشگر

• Industrial Maintenance
• Intelligent Automation
• Production Systems
• +۳ مورد دیگر

Simon Didriksen is a Researcher at the Department of Civil and Mechanical Engineering within the School of Engineering at the Technical University of Denmark (DTU) . His work focuses on industrial maintenance , intelligent automation , and offshore energy transition , with a strong emphasis on spare parts management and production facility optimization . His research explores modular maintenance decision architectures , data-driven stock optimization , and real-time reactive scheduling systems. Key trends in his publications include maintenance planning , performance assessment , and smart supply chain strategies for offshore energy infrastructure. Simon is actively involved in the Industrialisation of Maintenance by Means of Intelligent Automation PhD project (2022–2025), collaborating with colleagues like Jespersen, Sigsgaard, Hansen, and Ge. His work aligns with UN Sustainable Development Goals, particularly those related to climate action and industry innovation . Research Themes : Maintenance decision support, offshore energy transition, intelligent automation, production facility management, data-driven optimization, modular systems design Projects : Industrialisation of Maintenance by Intelligent Automation (PhD project, 2022–2025) Collaborations : Active external collaborations in industrial maintenance and offshore energy sectors

Patrick Bahrمشاهده پروفایل

دانشیار

• Type Systems
• Compilers
• Functional Programming
• +۴ مورد دیگر

Patrick Bahr is an Associate Professor at the IT University of Copenhagen and Co-Head of Education for the Master of Software Design program. His research focuses on developing programming languages and tools to ensure high-assurance software through formal methods. Education : PhD in Computer Science (2012), University of Copenhagen; MSc in Computational Logic (2009), Dresden & Vienna University of Technology; BSc in Computer Science (2008), Dresden University of Technology Patrick's research spans Type Systems , Compilers , and Functional Reactive Programming (FRP) , emphasizing Modal Types to ensure causality and productivity. His work includes Formal Verification of compiler correctness and Domain-specific Languages for enterprise and financial contracts. Recent publications highlight trends in Graph-Based Compilers , Asynchronous FRP , and Guarded Recursion . His methodologies often integrate Haskell and Agda for verified implementations. Key contributions include Sound-By-Construction Type Systems and Monadic Compiler Calculation . Scientific Awards : Best Contribution to RTA 2010 DIKU Paper of the Year 2012 He actively contributes to program committees (e.g., TFP 2026, ICFP 2024) and has led research projects like Guarded Recursive Types funded by the Danish Independent Research Fund (2015-2019). Collaborations span institutions such as the University of Nottingham and Utrecht University.

Michael Martinمشاهده پروفایل

استاد

• Semantic Web Technologies
• Data Science
• Linked Data Management
• +۴ مورد دیگر

Prof. Dr. Michael Martin serves as Professor for Data Management Systems at TU Chemnitz, where he heads the Emergent Semantics research group as part of the AKSW network. His academic work bridges theoretical research and practical applications of semantic technologies, with strong connections to both TU Chemnitz and the University of Leipzig where he teaches courses in E-Business, Software Engineering and Software Management. Michael Martin's research focuses on Engineering of Web Applications using Semantic Web Technologies, Data Science, and Management of Linked (Open) Data. His work explores how semantic technologies transform traditional web applications into data-driven systems, with particular emphasis on knowledge graph engineering, LLM-assisted semantic technologies, and industrial applications in sectors like steel and copper production. Recent work demonstrates growing interest in applying these technologies to crisis management and resilience research. His publication record shows a clear evolution from foundational semantic web technologies toward integrating large language models with knowledge graphs. Current research trends include developing benchmarks for LLM capabilities in knowledge graph engineering (LLM-KG-Bench), creating ontology-based digital representations for industrial processes (KupferDigital, StahlDigital), and building practical tools for geo-spatial data integration with semantic technologies. These works demonstrate increasing sophistication in applying semantic technologies to real-world industrial challenges. Michael Martin leads significant research projects including LEDS (Linked Enterprise Data Services funded by BmBF), SlideWiki (EU-funded), and previously contributed to major initiatives like LOD2, LATC, OntoWiki, and the Digital Agenda Scoreboard of the European Commission. His work demonstrates strong grant acquisition capabilities across both national and European funding programs, with clear translational impact from academic research to practical applications. As head of the Emergent Semantics research group within the AKSW network, Martin leads a team focused on practical applications of semantic technologies. The group develops tools like OntoWiki for semantic web application development and participates in creating knowledge graph platforms for industrial applications and crisis management, demonstrating strong industry-academia collaboration and real-world impact of semantic technologies.

Henrik Grüttnerمشاهده پروفایل

مدرس

• Environmental Engineering
• Industrial Wastewater Treatment
• Circular Economy
• +۵ مورد دیگر

Henrik Grüttner is an Lecturer at the Department of Green Technology (IGT) at the University of Southern Denmark. His work focuses on Environmental Engineering , Circular Economy , and Industrial Wastewater Treatment , with a particular emphasis on sustainable resource management in the textile and laundering industries. Education: M.Sc. in Green Technology Research interests include Life Cycle Assessment , Water Recycling , and Design for Environment . His recent studies analyze comparative environmental impacts of reusable vs. single-use medical devices, detergent recovery in laundering, and circular business models for textile services. Key trends in his publications reveal expertise in Membrane Technology for water reuse, Resource Efficiency in industrial processes, and Policy Development for sustainable production. He advises on projects like Rethink Resources and EnergiPlus Spildevandsrensning , bridging academia and industry. Grüttner’s consultancy work spans 2013–2016, focusing on industrial wastewater regulation and energy optimization. He has contributed to educational frameworks for sustainable engineering and was referenced in policy documents related to environmental impacts.

• Robotics
• Mechanical Engineering
• Sustainable Energy Systems
• +۳ مورد دیگر

Mads Høi Rasmussen is an Associate Professor at the Department of Mechanical Engineering, University of Southern Denmark. His work bridges robotics, production engineering, and sustainable energy systems. Key Research Areas: Robotics, Sustainable Energy, Production Engineering Projects: Co-Investigator in the 'Mini Picker' research project Research Focus includes robotic assembly systems, phase change materials for building temperature regulation, and hybrid ventilation technologies. His work on robot cell matrices aims to enhance agile manufacturing processes. Media Contributions highlight his family's efforts to combat fatal diseases in Bolivia, reflecting interdisciplinary engagement beyond academia. Collaborations span international partnerships in manufacturing, robotic assembly, and mechanical design.

• Haptic Interfaces
• Multimodal Actuation
• Psychophysics
• +۴ مورد دیگر

Waseem Hassan is a Postdoc researcher at the Department of Computer Science (DIKU) at the University of Copenhagen. His work bridges engineering, computer science, and human perception through innovative haptic technologies. His primary research interests include: Haptic interfaces for human-computer interaction Development of multimodal and modular actuation systems Psychophysical studies of tactile perception Application of machine learning techniques to haptic systems Creation of haptic content for augmented and virtual reality environments Hassan's publication record shows a strong trajectory in non-contact haptic interfaces using sound and ultrasound, with significant contributions appearing in top venues like CHI, IEEE Access, and Scientific Reports through 2025. His work demonstrates particular expertise in creating novel tactile experiences through cross-modal interactions and advanced actuation techniques. Notable achievements include research referenced in patents and coverage by news outlets, indicating practical relevance and impact beyond academia. His collaborations span multiple institutions, reflecting the interdisciplinary nature of his work in human-computer interaction.

Rocio Ochoa-Fernandezمشاهده پروفایل

استادیار

• Plant Synthetic Biology
• Optogenetics
• Plant Biochemistry
• +۴ مورد دیگر

Rocio Ochoa-Fernandez is an Assistant Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen's Faculty of Science, specializing in the Section for Plant Biochemistry. Her research focuses on plant synthetic biology and optogenetics, developing innovative tools to understand and control plant cellular processes for sustainable bioproduction applications. Education: PhD in Molecular and Synthetic Biology, Heinrich Heine University Düsseldorf (2015-2020), Thesis: "Development of optogenetic tools for Plant Synthetic Biology" B.Sc & M.Sc in Biotechnology, Polytechnic University of Valencia (2009-2014), Thesis: "Development of modular and orthogonal logic gates for Plant Synthetic Biology by GoldenBraid Cloning system" Research Focus: Dr. Ochoa-Fernandez investigates how plants integrate complex input signals and respond to environmental stimuli. Her groundbreaking work includes the development of PULSE, an optogenetic switch that activates gene expression only under specific light conditions while remaining 'off' in ambient light. This technology has opened new possibilities in plant optogenetics for both basic research and applied applications. Her current research examines how plants store high-value natural compounds in biocondensates without suffering auto-toxicity, addressing key bottlenecks in sustainable bio-production systems. She aims to advance green transition through innovative technologies in plant and microalgae bioproduction. Publication Trends: Dr. Ochoa-Fernandez's publications demonstrate a clear trajectory from foundational optogenetic tool development to applications in plant metabolic engineering and signaling. Her work spans high-impact journals including Nature Methods, Plant Journal, and Current Biology. The research shows increasing focus on practical applications of synthetic biology tools for sustainable bioproduction, with strong emphasis on developing precise control mechanisms for plant cellular processes.

Irini Paterakiمشاهده پروفایل

استادیار

• Plant Biochemistry
• Terpenoid Biosynthesis
• Metabolic Engineering
• +۵ مورد دیگر

Dr. Irini Pateraki is a PhD Assistant Professor and currently serves as a senior scientist/special consultant in the Section for Plant Biochemistry within the Department of Plant and Environmental Sciences at the Faculty of Science, University of Copenhagen, Denmark. Her research focuses on elucidating biosynthetic pathways of high-value bioactive terpenoids and developing sustainable production methods for compounds beneficial to human wellbeing. Dr. Pateraki's educational background includes: Bachelor of Science in Agricultural University of Athens, Greece (1992) Diploma for Specialized Post-graduate studies in Horticulture Science and Technology from Mediterranean Agronomic Institute of Chania, Greece (1993) Ph.D. from Group of Biotechnology of Pharmaceutical Plants, Lab of Pharmacognosy, Faculty of Pharmaceutical Sciences, Aristotle University of Thessaloniki, Greece (2007) Her research centers on plant specialized metabolites, particularly terpenoids, which represent the largest and most diverse class of plant compounds. Dr. Pateraki employs advanced technologies including transcriptomics, metabolomics, and biochemical tools to elucidate biosynthetic pathways of high-value bioactive terpenoids. A significant focus is placed on understanding regulatory points of terpenoid biosynthesis and implementing these findings for heterologous production of high-value compounds through sustainable and environmentally friendly methods, with special emphasis on plant-based and light-driven heterologous biosynthesis. Dr. Pateraki's research group has made significant scientific contributions, including elucidating the entire forskolin biosynthetic pathway and functionally expressing it in yeast cells, which produced forskolin titers at approximately 40 mg/L. Her work also includes identifying enzymes involved in pathways of ingenol angelate, ginkgolides, dopaminergic diterpenoids, and triptolide. Currently, her group is profiling diterpenoid composition across approximately 300 species of the Australian desert plant genus Eremophila and elucidating pathways for target diterpenoids based on observed bioactivities. Her notable scientific achievements include: Marie Curie Fellow (IEF) Dr. Pateraki has published extensively with 47 research outputs. Her recent publications demonstrate expertise in combinatorial biochemistry, enzyme engineering, and heterologous production systems. She has successfully demonstrated the modular nature of terpenoid biosynthetic pathways, enabling the production of novel compounds not found in nature, and has developed light-driven heterologous biosynthesis systems using photosynthetic organisms like algae and cyanobacteria. She leads the High-Value Phytochemicals research group at the University of Copenhagen, focusing on sustainable production of bioactive compounds with pharmaceutical applications. Her work bridges fundamental plant science with practical applications for producing valuable compounds with medicinal properties.

Andrzej Wąsowskiمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• AI and Robotics
• +۸ مورد دیگر

Andrzej Wąsowski is a Professor in the Computer Science Department at IT University of Copenhagen. His research focuses on software engineering, formal methods, AI/robotics, and safety-critical systems. He leads projects like REMARO (Marine Robotics reliability) and INSIGHT (program repair). His work emphasizes model-driven engineering, probabilistic systems, and open-source collaboration. Research Interests Formal Verification of Autonomous Systems Probabilistic Programming and Privacy Analysis Software Product Line Engineering Robotics and Cyber-Physical Systems Recent Work Recent articles explore symbolic execution for probabilistic programs, risk-aware marine robotics planning, and privacy quantification in genetic data. He has contributed over 200 ROS bug findings and developed tools like Clafer for model-based design. Teaching & Community Teaches courses in probabilistic programming, advanced software analysis, and model-driven development. Active in open-source communities, including ROS and Clafer. Supervised 20+ PhD students who now hold academic and industry positions. Labs & Projects Leads the SQUARE Group and VBDB bug database. Coordinates the REMARO EU training network. Previously worked on ROSIN (robot software quality) and EBA (Linux kernel analysis).