جستجوی استاد راهنمای دانشگاهی

Carl Peter Leslie Schultzمشاهده پروفایل

دانشیار

• Answer Set Programming
• Software Development Tools
• Building Information Modeling
• +۵ مورد دیگر

Carl Peter Leslie Schultz is an Associate Professor at the Department of Electrical and Computer Engineering - Software Engineering & Computing systems at Aarhus University. His research focuses on computational tools for construction and building design, including Answer Set Programming, Digital Twin Technology, and Social Sustainability. He leads and collaborates on projects such as PROBONO (H2020) and COGITO, addressing energy efficiency and optimal construction management. Research Interests: Development of spatial reasoning systems for architectural design Optimization of construction processes using digital twins Integration of sustainability metrics in building projects Notable Contributions: Published 103+ research outputs since 2006 Recipient of multiple awards including Best Paper Awards (2011, 2015) and the Best Ph.D. Thesis Award (2010) Advising & Grants: Lead PI on PROBONO (2022-2026) focusing on energy-efficient neighborhood development Co-PI on Optimal Construction Management & Production Control (2020-2024) He is actively involved in the DesignSpace Group (2015-2018) and collaborates internationally on topics like smart cities and community-driven land documentation.

Chao Liuمشاهده پروفایل

پژوهشگر

• Power Electronics
• Control Systems
• Renewable Energy
• +۳ مورد دیگر

Chao Liu is a Postdoctoral Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in power electronics for renewable energy integration and hydrogen production systems within the Power-to-X and Storage division. His research focuses on high-efficiency power converters , advanced control strategies for bidirectional systems, and multi-energy storage integration , directly contributing to UN Sustainable Development Goal 7 (Affordable and Clean Energy). Key expertise includes solid-state transformers, electrolysis systems, and electromagnetic interference mitigation in power processing applications. Recent 2025 publications reveal a concentrated research trajectory in optimizing hydrogen production infrastructure through model predictive control, partial power processing topologies, and nanocrystalline transformer designs, with strong emphasis on system efficiency (99%+), component stress reduction, and lifespan extension for electrolyzers. As Principal Investigator for the ComElCo project (2022-2025), he leads competitive electrolyzer converter development targeting grid service integration and system efficiency gains. His experimental work includes constructing a lab-field multi-energy platform unifying electrolyzers, redox flow batteries, and lithium-ion storage for real-world validation of renewable energy buffering solutions.

Peter Arendt Jensenمشاهده پروفایل

پژوهشگر

• Combustion
• Pyrolysis
• Gasification
• +۶ مورد دیگر

Peter Arendt Jensen is a Senior Researcher at the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). His work focuses on experimental and theoretical research in combustion, pyrolysis, and gasification of biomass and waste fuels, with expertise in ash deposit formation, emission abatement, and catalysis. He contributes to UN Sustainable Development Goals related to clean energy and sustainable infrastructure. Affiliations: CHEC Research Centre, DTU Key Research Areas: Biomass Conversion, Waste-to-Energy, Catalytic Processes His recent publications (2025) emphasize advancements in clay calcination methods, intumescent coatings, and pyrolysis integration in cement plants. He supervises multiple PhD projects on topics like oxyfuel combustion, catalytic hydrodeoxygenation, and cement carbonation. Collaborations span international institutions, with a focus on sustainable materials and energy systems. Notable projects include optimizing clay-based cement additives, developing fire-resistant coatings, and exploring alternative fuels for cement production. His work bridges laboratory-scale innovations with industrial-scale applications, addressing global challenges in resource efficiency and emissions reduction.

Gunvor Marie Kirkelundمشاهده پروفایل

دانشیار

• Environmental Engineering
• Waste Management
• Recycling Technologies
• +۳ مورد دیگر

Gunvor Marie Kirkelund is an Associate Professor at the Technical University of Denmark (DTU), Department of Environmental and Resource Engineering. Her research focuses on sustainable waste management, resource recovery, and innovative construction materials. She specializes in valorizing waste ashes (e.g., sewage sludge ash, MSWI fly ash) for use in building products like bricks and mortar. Her work contributes to UN Sustainable Development Goals related to sustainable cities, responsible consumption, and climate action. Key areas of research include circular economy strategies for carbon-intensive materials, electrodialytic remediation of toxic elements, and carbon sequestration in waste-derived materials. She leads projects such as GREENCO (education for green construction sector transformation) and collaborates internationally on Arctic engineering education. Awards include the DTU Annual Award for Teaching Innovation (2017) and the DTU Internationalization Award (2017). Dr. Kirkelund supervises PhD students in resource recovery and waste valorization. Recent projects highlight applications of wind turbine blade waste in mortar, Greenlandic clay in bricks, and CO₂ sequestration in mineralized waste ashes. Her work bridges environmental engineering, materials science, and policy to advance sustainable construction practices globally.

Per Sieverts Nielsenمشاهده پروفایل

پژوهشگر

• Energy Engineering
• Renewable Energy Systems
• Smart Grids
• +۵ مورد دیگر

Per Sieverts Nielsen is a Senior Researcher at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on energy systems, climate policy, and sustainable development, particularly in areas like district heating, energy digitalization, and renewable energy integration. He has contributed to over 140 publications and led/participated in major projects such as OPTIX (Positive-Energy Districts) and RES4CITY (Renewable Energy Systems for Cities). Key research interests include: Energy System Transition and Policy Design Smart Grids and Distribution Network Digitalization Waste Heat Recovery and Utilization Building Retrofitting and Energy Efficiency Community Energy Systems and Local Resource Management His recent work emphasizes multi-stakeholder approaches to energy challenges, with publications addressing industrial excess heat recovery frameworks, regulatory levers for grid modernization, and indicator systems for building renovation potential. He actively engages in policy discussions and has presented at international conferences on topics like low-carbon transitions and workforce upskilling. Current projects (2022-2027) include transdisciplinary assessments of climate-compatible energy strategies and optimizing positive-energy districts through digital platforms. He supervises PhD students, including Raffaele Monaco whose work examines the role of institutions in energy system transitions. Publications trends reflect a focus on: Technical innovations in district heating systems Policy recommendations for energy digitalization barriers Behavioral and infrastructural solutions for energy demand management

• Microbial Ecology
• Bacteriophage Genetics
• Metabolic Engineering
• +۳ مورد دیگر

Mogens Kilstrup is an Associate Professor at DTU's Department of Biotechnology and Biomedicine, specializing in microbial metabolic regulation and fermentation technology. His research examines bacteriophage genetics, nucleotide metabolism, and optimization of industrial bioprocesses. Kilstrup leads projects on metabolic engineering of E. coli strains for human milk oligosaccharide production and phage-based technologies. His lab develops synthetic biology tools for improving robustness in large-scale fermentation systems, with recent focus on overcoming acetate formation and CO2 stress in bioreactors. As Principal Investigator, he supervises PhD projects on fluorescence microscopy of microbial adaptations and regulatory network rewiring in production strains.

Søren Munch Lindhardمشاهده پروفایل

دانشیار

• Construction Management
• Sustainable Building Practices
• Lean Construction Processes
• +۳ مورد دیگر

Søren Munch Lindhard is an Associate Professor and Head of Research Group at the Department of the Built Environment within the Faculty of Engineering and Science at Aalborg University. His work focuses on construction management, lean processes, and sustainable practices. He leads projects addressing waste management, worker wellbeing, and circular economy principles in construction. His research emphasizes improving productivity through better project management and risk mitigation, while integrating environmental considerations such as resource efficiency and circularity. Lindhard has contributed to over 60 publications since 2011, including peer-reviewed articles on musculoskeletal disorders in construction workers and exoskeleton adoption. He actively participates in editorial peer review for journals like the Journal of Construction Engineering and Management. Notable projects include optimizing waste systems through behavioral modeling (2025–2027) and investigating Kuwaiti construction workers' health reporting practices. Lindhard also supervises PhD students and collaborates with industry partners to advance sustainable building practices. He has been featured in media discussions addressing construction industry challenges, including bankruptcy prevention strategies and supply chain disruptions. His work bridges academic research with real-world applications, aiming to enhance both operational efficiency and worker safety in the construction sector.

Sirle Duus Bürklandمشاهده پروفایل

دانشیار

• Sustainability Accounting
• ERP Systems
• Management Accounting
• +۵ مورد دیگر

Sirle Duus Bürkland is an Associate Professor at Aalborg University Business School, part of the Faculty of Social Sciences and Humanities. Her academic work focuses on sustainability accounting, ERP systems, and management control systems. She actively contributes to the Environmental Research Hub's 'Green Societies' initiative and holds an ERPsim certification for teaching SAP solutions. Education includes a PhD in Accounting from the University of Vaasa (2009), M.Sc. in Economics from Tartu University (2003), and a BA in Accounting & Corporate Finance (2000). She has taught at HEC Paris and developed courses in Denmark, emphasizing management accounting, ERP systems, and sustainability reporting. Research interests span calculative infrastructures, social value accounting, and environmental reporting. Her work addresses challenges in carbon accounting, ESG disclosures, and strategic procurement. Recent projects include 'Green Transitions in Port of Aalborg' and 'Accountability and the global commons: Caring for deep sea ecosystems'. Awards: Emerald Literati Award (2020), Best Reviewer (2012), PwC Best Contribution (2008) Teaching: Courses on Accounting Information Systems, Sustainability Accounting, and ERP technologies Professional Experience: Forensic accountant, financial manager in biotech, and head accountant in construction

Lasse Schmidtمشاهده پروفایل

دانشیار

• Electro-Hydraulic Drive Networks
• Hydraulic Systems Control
• Energy Efficiency
• +۳ مورد دیگر

Lasse Schmidt is an Associate Professor at AAU Energy, part of the Faculty of Engineering and Science at Aalborg University. He holds a PhD in Robust Control of Industrial Hydraulic Cylinder Drives (2014), with expertise in electro-hydraulic drive networks and fluid power systems. His research focuses on energy-efficient control strategies for hydraulic drives in mobile machinery and industrial systems, contributing to UN Sustainable Development Goals through sustainable energy solutions. Education: M.Sc. in Mechatronics (2008), PhD from Aalborg University (2014). Professional experience includes roles at Bosch Rexroth and postdoctoral research at AAU Energy. He has supervised multiple PhD projects, including work on variable-speed drive networks and injection moulding process control. Research interests include hydraulic drive design, sliding mode control, and energy conservation. His work has resulted in over 70 peer-reviewed publications and the 2014 Best Paper Award at FFPS. Current projects involve energy-efficient excavator systems, predictive maintenance for hydraulic drives, and adaptive control for injection moulding machines. Key collaborations include work with Robert Bosch Foundation and industry partners. His lab focuses on developing novel electro-hydraulic technologies with applications in construction and manufacturing sectors.

Ernests Lavrinovicsمشاهده پروفایل

پژوهشگر

• Machine Translation
• Transfer Learning
• Large Language Models
• +۴ مورد دیگر

Ernests Lavrinovics is a PhD fellow at the Department of Computer Science , Aalborg University , affiliated with the Technical Faculty of IT and Design and Data, Knowledge and Web Engineering research group. His work focuses on Natural Language Processing (NLP) , Large Language Models (LLMs) , and addressing challenges in machine translation and knowledge graph integration for resource-poor languages. His research explores critical NLP themes including hallucination detection in LLMs , adapter-based regularization techniques for multilingual transfer, and multitask benchmark development for creole languages. He contributes to datasets like MultiHal and CreoleVal , emphasizing semantic grounding and cross-lingual evaluation. Recent publications analyze adapter architectures as regularizers in low-resource settings (ACL 2025) He co-developed MultiHal (2025), a multilingual dataset for LLM hallucination evaluation His work spans knowledge graph applications , transfer learning , and multilingual representation challenges As an active academic, he has organized events like the Copenhagen NLP Symposium (2025) and AAU NLP Symposium (2024). He participates in technical programs at venues such as ACL and MRL Workshops , with citations in Scopus and Mendeley readership.

• Programming Languages
• Formal Methods
• Logic in Computer Science
• +۹ مورد دیگر

Dmitriy Traytel is an Associate Professor in the Department of Computer Science at the University of Copenhagen, affiliated with the Software, Data, People & Society research section. His work bridges formal methods, programming languages, and runtime verification, with a strong emphasis on correctness and efficiency. His research focuses on the logical and formal foundations of programming systems, including syntax with bindings, higher-order logic, type systems, and temporal logics. He develops verified tools and frameworks for runtime monitoring, policy enforcement, and query evaluation, often using interactive theorem provers like Isabelle/HOL. His recent publications demonstrate a consistent contribution to top venues such as POPL, CAV, and TACAS. The trends in his recent articles show a deep engagement with runtime verification , particularly in developing explainable , efficient , and first-order monitoring techniques. He combines theoretical rigor with practical tool building, as seen in systems like WHYMON and TimelyMon. His work often intersects with security policies, functional programming, and formal semantics. He has not been mentioned in the text as receiving scientific awards, but his publication record in premier venues indicates high scholarly impact. While no students are explicitly listed, his role as an Associate Professor and active researcher suggests involvement in advising. There is no mention of specific grants, but his participation in a Promotion Programme implies institutional support. He is part of a vibrant research environment within the Department of Computer Science, which is involved in the SCIENCE AI Centre, suggesting interdisciplinary collaboration potential. Traytel maintains a personal website and ORCID profile, and his contact information is publicly available. He is actively contributing to the research output of the department, with 59 recorded publications, including journal articles and conference proceedings.

Rolf Fagerbergمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• Computational Biology
• +۷ مورد دیگر

Rolf Fagerberg is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU). His research centers on algorithms, data structures, and their applications in computational biology and cheminformatics. His research interests include: Algorithms and data structures, particularly dynamic and geometric data structures Graph theory with emphasis on subgraphs, Yao graphs, and hypergraphs Algorithmic cheminformatics and modeling of chemical reaction networks Computational biology, including metabolic pathway analysis Theoretical computer science and discrete mathematics Recent publications highlight a strong trend toward interdisciplinary research combining computer science with chemistry and biology, particularly in modeling chemical reaction networks using hypergraphs and mixed-integer linear programming. His work also includes algorithmic solutions for palindromic subsequence problems and efficient extraction of reaction rules from large databases, reflecting a blend of theoretical and applied algorithm design. Rolf Fagerberg has served as senior coordinator on multiple research projects, including 'Algorithmic Cheminformatics' and 'Fundamental Data Structures', funded by the Danish Ministry of Higher Education and Research. He has also contributed to peer review and editorial work for major conferences such as the ACM Symposium on Parallelism in Algorithms and Architectures and the International Symposium on Experimental Algorithms. He has supervised PhD students and is actively involved in academic service, including membership in assessment committees at Aarhus University and IT University of Copenhagen. His research has received media attention, including coverage of a 'mathematical breakthrough' and applications in understanding intestinal systems in obesity.

Marco Branderمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Material Science
• 3D Printing
• +۳ مورد دیگر

Marco Brander is a Postdoctoral Researcher at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His work centers on additive manufacturing applications in civil engineering and materials science, with a focus on large-scale 3D printing of concrete and composite materials. His primary research areas include: Additive Manufacturing (particularly Big Area Additive Manufacturing - BAAM) Material Science of thermosets and fiber-reinforced polymers Numerical modeling of material behavior during printing Concrete casting using 3D-printed formworks Optimization of processing parameters for fiber orientation and porosity Brander's recent publications demonstrate a strong emphasis on solving practical challenges in large-scale additive manufacturing, such as printing vertical surfaces and achieving desired material properties in composites. His interdisciplinary approach combines civil engineering with advanced materials processing. He completed his PhD at DTU (2022-2025) on Big Area Additive Manufacturing of Composites, supervised by Prof. Jesper Spangenberg. As a postdoc, he continues to collaborate within the same research group.

Patrick Westphalمشاهده پروفایل

پژوهشگر

• Structured Machine Learning
• Semantic Web
• Big Data Analytics
• +۲ مورد دیگر

Dr. Patrick Westphal is a Researcher at the University of Leipzig's AKSW (Agile Knowledge Engineering and Semantic Web) Research Group, where he specializes in structured machine learning for big data applications. As a core member of the MOLE (Machine Learning and Ontology Engineering) group, he develops scalable frameworks like DL-Learner for semantic web technologies and life science use cases. His research focuses on: Structured machine learning algorithms for knowledge graphs Parallelization of learning systems for distributed architectures Geospatial data inference and ontology engineering Hybrid human-AI workflows for smart city analytics He leads contributions to multiple EU-funded projects including SANSA-Stack (distributed semantic analytics), GeoKnow (geospatial linked data), and QROWD (crowd-sourced data integration).

• Material Flow Analysis
• Remote Sensing
• Emission Reduction
• +۶ مورد دیگر

Kun Sun is a postdoctoral researcher at the Department of Green Technology (IGT) within the Faculty of Engineering at the University of Southern Denmark. His work intersects machine learning, remote sensing, and urban sustainability, focusing on material flow analysis and environmental impact assessment. Research Interests: Active in material flow analysis, remote sensing applications, and emission reduction strategies, Kun Sun's research combines deep learning techniques with environmental science to address urban sustainability challenges. His recent projects include building material identification and sociometabolic transitions in Eastern Europe. Scientific Awards: Contributed to the project "Exploring the green transformation of the Danish pork supply chain and its contribution to carbon neutrality" (2025). Projects: Participates in ongoing research analyzing the Danish pork supply chain's role in achieving carbon neutrality. This work emphasizes circular economy strategies and industry transformation. Media Contributions: Has been featured in three 2025 press releases discussing AI applications for building material recycling, climate benefits in AI, and scanning technologies for urban sustainability.