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نمایش ۷۲۱-۷۳۵ از ۱٬۱۰۰ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Jichen Zhuمشاهده پروفایل

استاد

IT University of CopenhagenDenmark

Jichen Zhu is a Full Professor in Human-Computer Interaction and Design at IT University of Copenhagen, where he leads the Procedural eXpression Lab. His research focuses on the intersection of artificial intelligence, human-computer interaction, and design, with particular emphasis on explainable AI, user-centered design, and AI in creative processes. His research interests span multiple domains within human-AI interaction: Explainable Artificial Intelligence (XAI) and transparent AI systems AI in design and creative processes Human-centered AI and user experience Game design with AI elements Player modeling and personalization in games Well-being technologies and health applications of AI Professor Zhu's recent publications demonstrate a strong focus on bridging the gap between AI capabilities and human understanding. His work combines theoretical insights with practical applications in gaming, design, and health contexts, often exploring how AI can enhance human creativity while maintaining transparency and user control. Professor Zhu has received several prestigious awards for his research: Best Paper Award at the 2021 Conference of Foundation of Digital Games (FDG'21) Best Paper Award Finalist in 2022 Honorable Mention Paper Award at the 2021 Conversational User Interface Conference (CUI'21) He serves as Principal Investigator for the ExPAI (Explainable Personalization AI for Health and Well-Being) project funded by the Novo Nordisk Foundation (2021-2027), exploring how explainable AI can personalize health interventions while maintaining transparency. Professor Zhu also contributes significantly to the academic community through editorial roles at IEEE Transactions on Computational Intelligence and AI in Games and as Conference Chair for the 2021 CHI Conference on Human Factors in Computing Systems. As Head of the Procedural eXpression Lab, Professor Zhu leads research that develops innovative approaches to human-AI collaboration in creative domains, focusing on how AI can support human creativity while preserving user agency and understanding.

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David Pisingerمشاهده پروفایل

استاد

Technical University of DenmarkDenmark

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.

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David Bue Pedersenمشاهده پروفایل

استاد

Technical University of DenmarkDenmark

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.

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Yuepeng Dongمشاهده پروفایل

دانشیار

Technical University of DenmarkDenmark

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.

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Konstantinos Pouliosمشاهده پروفایل

دانشیار

Technical University of DenmarkDenmark

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.

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Jesper Henri Hattelمشاهده پروفایل

استاد

Technical University of DenmarkDenmark

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.

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Gürkan Sinمشاهده پروفایل

استاد

Technical University of DenmarkDenmark

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.

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Abhishek Sivaramمشاهده پروفایل

پژوهشگر

Technical University of DenmarkDenmark

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.

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Xavier Flores Alsinaمشاهده پروفایل

پژوهشگر

Technical University of DenmarkDenmark

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.

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Mirza Karamehmedovicمشاهده پروفایل

دانشیار

Technical University of DenmarkDenmark

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.

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Lene Tolstrup Sørensenمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Lene Tolstrup Sørensen is an Associate Professor at the Department of Electronic Systems, Aalborg University, affiliated with The Technical Faculty of IT and Design. Her research focuses on usable privacy, cybersecurity, and gamified learning platforms, with a strong emphasis on human-computer interaction and GDPR compliance. She leads projects like FGPE++ (Gamified Programming Learning) and contributes to initiatives such as the Danish-Japanese Network on Cybersecurity and the Nordic PROPHET ICT program. Education: Master and Ph.D. in Engineering from the Technical University of Denmark. Research areas include hybrid cloud computing, process mining, and digital transformation across healthcare and education sectors. She has supervised 2 Ph.D. students and actively participates in conferences/workshops on cybersecurity, privacy, and educational technology. Notable collaborations include the I3LUNG project (AI-driven cancer care) and the PISH initiative (STEM education innovation). Her work bridges technical systems with user-centric design, aiming to enhance privacy control and educational engagement through innovative interfaces and gamification strategies. Awards: Although no specific prizes are listed, her extensive publication record (94+ outputs) and international project leadership highlight significant academic contributions. She is actively involved in media discussions on cybersecurity and IT governance, reflecting her role as a thought leader in digital transformation.

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Florin Iovمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Florin Iov is an Associate Professor at Aalborg University's Faculty of Engineering and Science, Department of Power Electronics System Integration and Materials. His research focuses on Cyber Physical Multi-Energy Systems, renewable energy integration, and power electronics for grid stability. He holds a PhD in Electrical Engineering from Lower Danube University and an MSc in Electrical Drives from Transylvania University. Education: PhD in Electrical Engineering, Lower Danube University (2003) MSc in Electrical Drives, Transylvania University (1993) Research Interests: Hybrid Power Plants and Grid Code Compliance Cryogenic Carbon Capture and CO2 Utilization Smart Grid Control and Hardware-in-the-Loop Testing Green Ammonia and Hydrogen Production Multi-Energy System Optimization Key Projects: DeBatT: Battery Investment Decision Tool for Renewable Projects IEA Task 41: Distributed Wind in Future Energy Systems ECoGrif: Grid-Friendly Power Converters for Electrolysis Labs/Teams: Leads the Smart Energy Systems Laboratory, a real-time HIL testbed for smart grid research.

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Mads Pagh Nielsenمشاهده پروفایل

استاد

Aalborg UniversityDenmark

Mads Pagh Nielsen is a Professor at Aalborg University, affiliated with AAU Energy and the Thermal Engineering department within the Faculty of Engineering and Science. He leads the Electro Fuel Research Program and serves as Vice Head of Department for Education and Head of Studies. His research focuses on renewable energy systems, carbon capture and utilization, hydrogen technologies, and sustainable energy transitions. Notable contributions include work on green ammonia production, cryogenic CO₂ capture in industrial contexts, and smart energy system integration. He has supervised numerous PhD projects, including studies on carbon capture system integration, green methanol production, and power-to-fuels technologies. His work has been recognized with awards such as the Uddannelses- og Forskningsministeriets Undervisningspris 2023 and multiple teaching accolades from Aalborg University. Key research activities include leadership in projects like the eSAF initiative for sustainable aviation fuel in Aalborg and collaborations on cross-sectoral carbon capture strategies. His publications span over 100 articles, emphasizing techno-economic analyses and system integration challenges in decarbonization.

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Filipe Miguel Faria da Silvaمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Filipe Miguel Faria da Silva is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids. His research focuses on power systems, grid stability, renewable energy integration, and high-voltage engineering. He has led or participated in 18 projects, including the 'HVDC GREEN' initiative for interconnecting Indonesian islands via HVDC grids and the 'Development of Stability Screening Methodology' for inverter-based resources. He has authored over 250 publications and holds six scientific awards, including the IEEE OAJPE Trending Topic Paper and CIGRE Pioneer Award. His work emphasizes practical solutions for renewable energy transition and grid resilience. Research interests include transient analysis, harmonic resonance mitigation, and digital twin applications for power systems. He has collaborated with institutions like Energinet and Danida Fellowship Centre, addressing challenges in power transmission and distributed energy systems. Silva has also been recognized for teaching excellence, winning multiple Lecturer of the Year awards. His contributions span academic publications, conference activities, and media engagements discussing energy policy and grid modernization. Key projects include the 'Combined Green Pipe-Cable' concept for energy and gas co-transmission, and the evaluation of temporary overvoltages in power systems due to harmonic resonances. Silva actively participates in international conferences and serves on technical committees for renewable energy and power systems transients.

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Malte Pedersenمشاهده پروفایل

پژوهشگر ارشد

Aalborg UniversityDenmark

Malte Pedersen is a Postdoctoral Researcher at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. He works in the Section for Media Technology at Campus Aalborg, focusing on visual analysis and perception with applications in marine and maritime research. His work is associated with several research initiatives including "Visual Analysis and Perception," "AI for the People," and "AAU BLUE – Marine & Maritime Research." Dr. Pedersen's research spans the intersection of computer vision and marine science, with a particular emphasis on underwater imaging and analysis. His work addresses challenges in turbid water environments, marine organism identification, and fisheries monitoring. He has developed several important datasets for underwater computer vision research, including BrackishMOT for multi-object tracking of marine species and 3D-ZeF for zebrafish tracking. His recent publications demonstrate a strong focus on applying computer vision techniques to solve practical problems in marine environmental monitoring, fisheries management, and underwater exploration. His research shows a clear trajectory toward developing robust AI systems that can operate effectively in challenging underwater conditions, with applications ranging from seagrass mapping to bycatch identification and automated fisheries monitoring. Computer Vision for underwater environments Marine organism re-identification Benthic habitat mapping Fisheries monitoring and management Object tracking in turbid water Underwater image processing Dr. Pedersen has secured significant research funding as Principal Investigator on multiple projects including FDF (Fully Documented Fisheries, 2024-2026), JAMBO (investigating seabed conditions in Jammerbugt, 2023-2024), AUTOFISK (automated monitoring of cod catch, 2022-2023), and Marine Analytics using Computer Vision (2020-2023). His work has contributed to marine research that has informed policy decisions, including research that "Paves the Way for a Ban on Beam Trawling."

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