جست‌وجوی استاد و پژوهشگر

Martin Veitمشاهده پروفایل

پژوهشگر

• Building Energy Performance
• District Heating Systems
• Full-Scale Building Element Testing
• +۵ مورد دیگر

Martin Veit is a Research Assistant at Aalborg University's Department of Construction, Urban and Environmental Engineering within the Faculty of Engineering and Science. He is affiliated with The Architectural Engineering Section and the Research Group for Energy in Buildings. His work focuses on building energy performance, district heating systems, and full-scale building element testing. Veit's research interests center around energy performance engineering (95%), full-scale building testing (69%), district heating systems (69%), and building system engineering (49%). His work integrates experimental investigations with computational methods to analyze and optimize building energy use. He has developed expertise in heat meter data analysis, building performance simulation tools like BSim, and database architectures for energy research. His recent publications demonstrate a strong focus on building energy data, with significant contributions to datasets of smart heat and water meter data, operational building data for office rooms, and comparative studies of simulation tools. His work often involves collaboration with researchers across the Department of the Built Environment. Best Poster - Graduation Ceremony 2022, Department of the Built Environment Veit has been actively involved in two major research projects: 'Experimental investigations on the thermal performance of full-scale building elements' (2022-2024), where he contributed to full-scale testing and thermal performance analysis, and 'PRELUDE: Prescient building Operation utilizing Real Time data for Energy Dynamic Optimization' (2020-2024), focusing on heat meter data and energy performance optimization in district heating systems.

Birgit Schiøttمشاهده پروفایل

استاد

• Medicinal Chemistry
• Biophysical Chemistry
• Membrane Proteins
• +۷ مورد دیگر

Birgit Schiøtt is Dean and Professor at Aarhus University, affiliated with the Faculty of Natural Sciences. Her work bridges leadership and research in chemistry, focusing on biophysical and medicinal chemistry, membrane proteins, and computational modeling of biological systems. Research Interests: Medicinal Chemistry Biophysical Chemistry Membrane Proteins & Cell Membranes Computational & Coarse-Grained Modeling Receptor-Ligand Interactions Environmental Toxicology Her recent publications highlight expertise in molecular dynamics, structural biology, and interdisciplinary approaches to drug and environmental compound interactions. Articles span from cryo-EM structures of neurotransmitter receptors to computational modeling of protein stability and herbicide transport, reflecting a strong integration of theory and experiment. Scientific Activities & Leadership: Member, Independent Research Fund Denmark (2019–2024) Board Member, Sandbjerg Gods (Aarhus University Course Estate) Visiting Researcher, University of Western Australia (2005–2006) Academic Visit, Stanford University (2019–2024) Participant, Gordon Research Conference (2014) She has delivered lectures on fibrillation mechanisms and engages in national and international academic service. While no formal advisees are listed, her collaborative publications suggest active mentorship. She holds no listed scientific awards in the provided text, but her leadership and publication record indicate significant recognition.

• Quantum Interference in Molecular Systems
• Single-Molecule Electronics
• Theoretical Chemistry
• +۳ مورد دیگر

Gemma C. Solomon is a Professor at the Department of Chemistry , University of Copenhagen. Her research focuses on quantum mechanical phenomena in molecular-scale systems, particularly in electronics and transport properties. Institution: University of Copenhagen Department: Department of Chemistry Contact: gsolomon@chem.ku.dk Her scientific work centers on quantum interference , single-molecule electronics , and molecular conductance across various nanoscale systems. Key contributions include theoretical frameworks for electron and phonon transport in molecular junctions, with applications in solar cells and electronic devices. Recent research trends include: Quantum interference in alternant/nonalternant hydrocarbons (e.g., azulene) Mechanical/structural control of thermal/electronic transport Interplay between vibrational modes and tunneling currents Substituent effects on molecular conductance She leads computational studies and collaborates on experimental validations, with a strong emphasis on theoretical chemistry and quantum mechanical modeling.

• Biocomplexity
• Biophysics
• Fluid Mechanics
• +۱ مورد دیگر

Mathias Klahn is a Postdoctoral Fellow at the Niels Bohr Institute , affiliated with the Biocomplexity department under the University of Copenhagen. His research spans interdisciplinary domains, integrating principles from fluid mechanics and biophysics to address complex systems in natural and engineered environments. Position: Research Fellow Department: Biocomplexity Institution: Niels Bohr Institute, University of Copenhagen Dr. Klahn’s primary research interests include: Biocomplexity : Modeling emergent behaviors in biological and physical systems. Biophysics : Applying physical principles to biological phenomena. Fluid Mechanics : Investigating wave dynamics and nonlinear fluid interactions. Oceanography : Numerical simulations of marine and coastal processes. Publication Trends : Recent work focuses on rogue wave formation in finite-depth conditions, leveraging computational models to analyze irregular wave patterns. This aligns with his broader expertise in nonlinear simulations and environmental fluid dynamics.

• Magnetism
• Superconductivity
• Correlated Electrons
• +۵ مورد دیگر

Kim Lefmann is a Professor in Solid State Physics at the Niels Bohr Institute , University of Copenhagen. His work focuses on neutron scattering techniques and quantum magnetism. Research Areas: Magnetism, Superconductivity, Correlated Electrons, Quantum Phase Transitions Collaborations: European Spallation Source (ESS), international teams in neutron research Education: Ph.D. in Physics from the University of Copenhagen (1995), thesis on Nuclear magnetic order in silver . Research Trends: Recent articles explore ESS instrumentation, quantum magnetic systems, and phase transitions in superconductors. Collaborative work spans material science, neutron technology, and European research networks. Teaching: M.Sc. courses in quantum magnetism and neutron scattering. Labs & Teams: Active in neutron scattering instrument development for ESS, leading projects like BIFROST.

• Quantum Computing
• Superconducting Qubits
• Semiconductor Devices
• +۳ مورد دیگر

Morten Kjaergaard is an Associate Professor at the Niels Bohr Institute , University of Copenhagen , within the Solid State Physics department. His research focuses on quantum computing , superconducting qubits , and semiconductor devices , with an emphasis on nanotechnology and quantum information science . Key research themes include quantum control , error mitigation , hybrid quantum systems , and quantum thermodynamics . His work often bridges applied physics and quantum hardware design , targeting advancements in qubit coherence and quantum feedback systems . Recent publications highlight trends in superconducting qubit architectures , quantum transport , and noise characterization . Notable contributions include gate-tunable transmon qubits and real-time adaptive feedback for coherence improvement.

David Pisingerمشاهده پروفایل

استاد

• Operations Research
• Management Science
• Network Design
• +۳ مورد دیگر

David Pisinger is a Professor at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on Operations Research, Management Science, and Optimization, with significant contributions to maritime transportation, offshore wind farm design, and stochastic optimization. He leads the DECIDE project (ERC-2022-ADG), exploring machine learning for decision-making under uncertainty. His research interests include network design, vehicle routing, energy systems modeling, and combinatorial optimization. Notable recent work addresses challenges in multi-parallel-aisle warehouses, tramp ship routing, and immunization strategies for epidemic outbreaks. Research Trends in Articles: Recent publications emphasize maritime logistics, renewable energy optimization (offshore wind farms), and stochastic programming applications. His work bridges theoretical optimization and real-world problems in transportation, energy, and telecommunication networks. Awards: ERC-2022-ADG Grant (2023) Finalist - EURO Excellence in Practice Award (2021, 2018) Best Student Paper Award (ICORES 2017) Advising & Grants: Supervises PhD students in stochastic optimization, energy systems, and maritime logistics. PI of projects like DECIDE (2024–2029), SUSTAINABULK (2022–2025), and others. Teams/Labs: DECIDE Project Team (machine learning for decision-making under uncertainty). Collaborations on offshore wind farm optimization, energy system modeling, and maritime logistics.

David Bue Pedersenمشاهده پروفایل

استاد

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

David Bue Pedersen is a Professor at the Technical University of Denmark (DTU) in the Department of Civil and Mechanical Engineering. His research focuses on Additive Manufacturing (AM), Materials Science, and advanced manufacturing processes. He leads projects involving open-source laser-based metal AM systems, polymer extrusion tooling, and hydrophobic surface design. Key contributions include nondestructive material evaluation techniques and 3D-printed medical training models. He has supervised multiple PhD students, including Artemeva, Pellizzon, and Lalwani. Notably, his team won the Symposium Best Papers award at the 2021 Solid Freeform Fabrication Symposium. Research interests span AM technologies like powder bed fusion, vat photopolymerization, and material extrusion. His work addresses challenges in surface topography, interlayer bonding, and material characterization. Collaborations include developing cost-effective surgical training models and optimizing polymer and metal AM processes for industrial applications. Over 200 publications and 30 active/completed projects highlight his interdisciplinary impact across academia and industry. Key Projects: Additive Manufacturing Farm, Big Area AM of Composites, Numerical Modeling of Volumetric AM Awards: Symposium Best Papers (2021) Advising: Supervises 5+ PhD students in AM and materials research Labs/Teams: Active in DTU's Construct and Mek departments, contributing to AM innovation and cross-disciplinary collaborations.

Yuepeng Dongمشاهده پروفایل

دانشیار

• Computational Geotechnics
• Finite Element Method
• Geotechnical Engineering
• +۶ مورد دیگر

Yuepeng Dong is an Associate Professor in Computational Geotechnics at DTU Sustain, Technical University of Denmark. He specializes in advanced finite element analysis of soils and structures, with expertise in geotechnical engineering, constitutive modeling of geomaterials, and underground construction processes. His work focuses on resilient infrastructure and energy geotechnics for sustainable development. He holds a DPhil in Engineering Science from the University of Oxford and a BEng in Civil Engineering from Shanghai Jiao Tong University. Education: DPhil in Engineering Science (2010–2014), University of Oxford BEng in Civil Engineering (2003–2007), Shanghai Jiao Tong University Research interests include computational geotechnics, smart infrastructure, and the integration of complex constitutive models into finite element frameworks. His recent work addresses challenges in deep excavations, diaphragm wall construction, and ground improvement techniques like deep soil mixing and jet grouting. Collaborations with institutions such as MIT and National University of Singapore highlight his international engagement. Advising and grants: Open to supervising Master/PhD students in geotechnical engineering. Active in consultancy and collaborative projects focused on sustainable infrastructure solutions. Labs/Teams: Affiliated with DTU Sustain’s research groups in geological and geotechnical sensing, energy geotechnics, and smart infrastructure systems.

Konstantinos Pouliosمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Materials Science
• Finite Element Methods
• +۷ مورد دیگر

Konstantinos Poulios is an Associate Professor in the Department of Civil and Mechanical Engineering (Solid Mechanics) at the Technical University of Denmark (DTU). His research focuses on advanced computational mechanics, including topology optimization, finite element methods, and the mechanical behavior of composite and additive-manufactured materials. He actively supervises multiple PhD projects addressing topics like fatigue life assessment, contact mechanics, and multi-scale materials modeling. His work contributes to UN Sustainable Development Goals through innovations in sustainable materials and energy-efficient designs. Key research interests include: topology optimization with contact phenomena, fracture mechanics of composites, and the integration of manufacturing constraints into computational design. He has pioneered methods for modeling friction and internal contact in complex systems, with applications ranging from biomedical devices to wind turbine components. Recent publications emphasize 3D topology optimization with contact, thermo-mechanical regulators, and biomechanical modeling on fixed grids. His work is characterized by interdisciplinary collaboration, evidenced by projects involving additive manufacturing, crystal plasticity, and X-ray CT analysis. He has been a guest lecturer at international conferences, showcasing his expertise in computational mechanics and materials science. Advising roles include supervision of PhD students in corrosion fatigue modeling, additive manufacturing simulations, and machine learning-optimized engine components. Research grants support projects on energy absorption optimization and multi-scale simulations for metal additive manufacturing. His lab work integrates advanced numerical techniques with experimental validation, as seen in studies of titanium microstructure and composite failure analysis.

Jesper Henri Hattelمشاهده پروفایل

استاد

• Numerical Modelling
• Manufacturing Processes
• Materials Science
• +۵ مورد دیگر

Jesper Henri Hattel is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on numerical modelling of manufacturing processes such as casting, 3D printing, moulding, and welding, involving metallic and polymer materials. He specializes in multi-physics modelling, encompassing Computational Fluid Dynamics (CFD), heat transfer, materials science, and solid mechanics. His work contributes to UN Sustainable Development Goals, particularly in advancing sustainable manufacturing technologies. Research interests include process optimization for additive manufacturing, residual stress analysis, and material behavior under extreme conditions. He has pioneered hybrid AI and physics-guided approaches to enhance process predictability in polymer-based additive manufacturing. Recent work emphasizes accelerated parameter selection for laser-based processes and thermal-mechanical analysis of microsystems. Awards: IIW Kenneth Easterling Best Paper Award (2018) Education: MSc, PhD, Dr. Techn. Supervises PhD projects on topics like topology optimization for heat pipes, laser welding for battery packs, and multi-scale simulation of metal additive manufacturing. Active in collaborative research networks, with projects funded through DTU and industry partnerships.

Gürkan Sinمشاهده پروفایل

استاد

• Process Design and Optimization
• Process Systems Engineering
• Environmental Engineering
• +۶ مورد دیگر

Gürkan Sin is a Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). He leads research in process systems engineering, focusing on interdisciplinary challenges in chemical, biotechnology, and pharmaceutical industries. His work integrates process modeling, simulation, optimization under uncertainty, and environmental impact analysis. Key affiliations include the KT Consortium and PROSYS (Process and Systems Engineering Centre). Education: PhD from Ghent University (2004), MSc and BSc from Middle East Technical University (METU, Turkey). Prior to DTU, he was an Assistant Professor there from 2008–2010. Research interests span process design for wastewater treatment, biorefineries, and biopharmaceuticals, with emphasis on sustainability and AI-driven solutions. Notable contributions include global sensitivity analysis, Monte Carlo methods, and virtual sensor technologies for large-scale processes. Advises PhD students in areas like machine learning for molecular design, risk assessment in chemical processes, and sustainable energy systems. Projects often involve collaborations with industry partners for practical implementation. His work contributes to UN Sustainable Development Goals, particularly in clean energy and responsible consumption. Labs/Teams: PROSYS Centre and KT Consortium, where interdisciplinary teams tackle complex industrial challenges through advanced modeling and data analytics.

Abhishek Sivaramمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Abhishek Sivaram is a Postdoctoral Researcher in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), affiliated with the KT Consortium PROSYS - Process and Systems Engineering Centre. His research integrates chemical engineering with artificial intelligence to solve complex process challenges. His primary research spans Chemical Engineering, Machine Learning, and Process Control, with specific expertise in photobioreactor systems, microalgae cultivation, and hybrid modeling approaches. He develops frameworks combining first-principles engineering models with data-driven algorithms for applications ranging from bioreactor optimization to protein precipitation processes. Recent publications reveal a strong emphasis on machine learning integration across chemical engineering domains, particularly using hybrid models to enhance prediction accuracy in multiphase systems and bioprocesses. Key application areas include gas-liquid reactors, single-cell cultivation dynamics, and metabolic flux analysis in cell cultures. Sivaram serves as supervisor for the active PhD project 'Biomolecule Production Mapping via Biosynthesis using Quantum Generative Artificial Intelligence' (2024-2027), collaborating with Prof. S. S. Mansouri and other researchers. This project has attracted significant academic interest with 20 Mendeley readers. He operates within DTU's PROSYS research environment, which specializes in advanced process systems engineering and control strategies for sustainable chemical production.

Xavier Flores Alsinaمشاهده پروفایل

پژوهشگر

• Wastewater Treatment
• Process Modelling
• Environmental Impact Assessment
• +۳ مورد دیگر

Xavier Flores Alsina is a Senior Researcher in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). His work focuses on process engineering for sustainable water treatment systems. Education includes a PhD in Chemical and Environmental Engineering from the University of Girona (2008) with research stays at Oxford and DTU. Postdoctoral experience spans Laval University, Lund University, University of Queensland, and University of Cape Town. Research interests include multiobjective decision-making in environmental systems, wastewater treatment modelling, and resource recovery optimization. His work integrates bench-scale experimentation with full-scale process validation. Publications emphasize greenhouse gas mitigation, membrane bioreactor design, and industrial symbiosis. Recent work explores dynamic prediction models for emissions control and power-to-X integration in water facilities. Collaborative projects include international initiatives in South Africa and Australia focusing on resource recovery innovations. He coordinates research on anaerobic digestion optimization and sustainable nutrient management.

Mirza Karamehmedovicمشاهده پروفایل

دانشیار

• Computational Mathematics
• Photonics
• Inverse Problems
• +۳ مورد دیگر

Mirza Karamehmedovic is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computational mathematics, photonics, and inverse problems, with applications in optical surface metrology and numerical methods for engineering systems. He leads projects involving uncertainty quantification, inverse problem formulations, and bio-nanomaterials. Key research areas include electromagnetic scattering models, failure probability estimation using Gaussian processes, and spectral analysis of random media. His work bridges theoretical mathematics with practical engineering solutions, particularly in photonics and microscopy. Supervised PhD students include L. Baalbaki (Bayesian inverse problems), K. Linder-Steinlein (source localization in random media), and J. Bravo Gadea (geometric analysis). Active in international conferences presenting on topics like photonic nanojets and Helmholtz equation applications.