جست‌وجوی استاد و پژوهشگر

• Array Antennas
• Millimeter-Wave Communication
• Antenna Integration with Electronics
• +۴ مورد دیگر

Marianna Ivashina is a Professor and Head of the Antenna Systems Research Group at Chalmers University of Technology's Department of Electrical Engineering . Her work focuses on array antennas , antenna integration with electronics , optimal beamforming , and over-the-air measurement methods . The group has achieved international recognition for innovations in ultra-wideband (UWB) feeds , Gap waveguide antennas , and Doherty-power-amplifier-integrated antennas for 5G/6G and radio telescope applications. Key projects include the SSF Sweden-Taiwan collaboration , EU Horizon 2020 MyWave , and VINNOVA ENERGETIC initiatives. Her recent publications emphasize millimeter-wave (mmWave) communication and reconfigurable intelligent surfaces (RIS) , with applications in 5G/6G networks , satellite communication (SatCom) , and advanced antenna testing chambers . She explores beamforming optimization , self-interference mitigation , and hybrid OTA environments to enhance wireless system performance. The group's work bridges theoretical advancements with practical implementations, including RFSoC testbeds and high-efficiency antenna arrays . Marianna leads major research programs funded by Ericsson , VINNOVA , and EUREKA EURIPIDES2 , addressing challenges in beamforming , antenna-IC integration , and automated design for 5G/6G . These projects highlight her role in advancing millimeter-wave communication and sensor integration technologies.

Martin Berggrenمشاهده پروفایل

استاد

• Computational Design Optimization
• Numerical Optimization Algorithms
• Gradient-Based Algorithms
• +۸ مورد دیگر

Martin Berggren is a Professor at the Department of Computing Science , Umeå University , Sweden. His work focuses on Computational Design Optimization , combining computer simulations and numerical optimization to enhance engineering designs for devices like antennas, microwave components, and loudspeakers. Berggren is also active in mathematical modeling of physical phenomena, particularly wave propagation and fluid mechanics, with a strong emphasis on finite-element methods . His research addresses large-scale conceptual design problems using thousands to millions of design variables, relying on gradient-based algorithms and adjoint-based computations of design sensitivities—similar to back-propagation in deep learning. Key application areas include acoustic and electromagnetic devices, where he investigates damping mechanisms, boundary conditions, and material distribution. Other interests, though less active, involve flow control and unsteady fluid–structure interaction . Berggren collaborates extensively on projects such as Structured Regularization , Topology Optimization of Acoustic Black Holes , and Design of Microstrip-to-Waveguide Transitions . His publications span journals like Journal of Computational Physics , Pattern Analysis and Applications , and IEEE Transactions on Antennas and Propagation , often co-authored with researchers like Linus Hägg , Eddie Wadbro , and Disi Lin .

Alexander Hollbergمشاهده پروفایل

دانشیار

• Sustainable Design
• Optimization Processes
• Stakeholder Interaction
• +۴ مورد دیگر

Alexander Hollberg is an Associate Professor in the Division of Building Technology at Chalmers University of Technology, within the School of Architecture and Civil Engineering. His academic role focuses on Computational Sustainable Design, emphasizing the development of digital tools for sustainable building and urban design. He holds a PhD in Parametric Life Cycle Assessment (2016) from Bauhaus University Weimar, an MSc in Architectural Engineering (2011), and a BSc in Civil Engineering (2008) from Technical University of Munich (TUM). His research interests include Sustainable Design Optimization, Stakeholder Interaction, Artificial Intelligence, and Life Cycle Assessment (LCA). He co-founded CAALA, a software and consulting startup in Munich, Germany, advancing tools for real-time environmental performance evaluation in early design stages. Recent work includes studies on digital twins for urban planning, robust renovation strategies, and AI-driven facade optimization. Hollberg was promoted to Docent (Associate Professor) in Computational Sustainable Design in 2022, focusing on bridging computational methods with sustainable environmental transitions. His collaborative projects address tool development for stakeholder engagement, BIM integration, and circular economy frameworks in construction. Key Projects: Development of Bombyx and Twinable tools for real-time LCA and urban simulation Leading the Nordic Build-LCA PhD forum and BIM-based LCSA applications Contributions to IEA EBC Annex 72 guidelines on life cycle environmental impacts Education Background: PhD in Parametric Life Cycle Assessment, Bauhaus University Weimar, 2016 MSc in Architectural Engineering, Bauhaus University Weimar, 2011 BSc in Civil Engineering, Technical University of Munich, 2008 His research outputs prioritize early design-stage decision support through parametric modeling and AI, with a focus on carbon neutrality and material circularity in construction.

• Thermodynamics
• Diffusion
• Phase Transformations
• +۳ مورد دیگر

Powder Metallurgy (MH2100) and has expertise in computational materials science. His research emphasizes predictive modeling of material behavior, including precipitation kinetics, sintering processes, and coating interactions. Notable areas include phase field modeling of discontinuous precipitation, spinodal decomposition in Fe-Cr alloys, and high-entropy alloy design. His studies bridge experimental data with computational tools like the YAPFI phase-field framework. Key themes in his publications span cemented carbides, Co-based entropic alloys, and tool wear mechanisms. He combines CALPHAD thermodynamic modeling with first-principles calculations to address challenges in materials processing and corrosion resistance. His work often addresses industrial applications, such as optimizing machining tools and additive-manufactured superalloys.

Tommy Löfstedtمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +۴ مورد دیگر

Tommy Löfstedt is an Associate Professor at Umeå University , affiliated with the Department of Computing Science and the Department of Mathematics and Mathematical Statistics. His research focuses on machine learning , computer vision , and medical image analysis , with applications in life sciences, radiation therapy, and biomedical imaging. He leads multiple research projects, including AI-driven delineation in radiation therapy, quantitative MRI for radiotherapy, and machine learning for plant nutrient uptake. Current research emphasizes structured regularization methods to improve model interpretability and robustness. Key applications include medical image segmentation , Alzheimer's classification , and uncertainty estimation in MRI . Recent publications highlight his work on morphological regularization , adversarial attack mitigation , and multi-task learning in medical imaging contexts. His projects span 2022–2026 with funding for pediatric oncology automation and gynecological cancer staging. Affiliated with both computing and mathematical departments, he bridges algorithm development with applied mathematical frameworks in medical and life science domains.

• Building Physics
• Numerical Modeling
• Heat and Mass Transfer
• +۶ مورد دیگر

Angela Sasic Kalagasidis is a Professor and Department Head at Chalmers University of Technology , leading the Building Physics research group. She serves as a board member of the Moisture Center at Lund University of Technology , contributing to interdisciplinary research in building science. Building Physics Heat and Mass Transfer Energy Efficiency Moisture Safety Indoor VOC Emissions Climate Change Adaptation Her recent publications focus on aerogel-based materials for insulation, urban heat island mitigation , and thermal energy storage systems . Key methodologies include CFD simulations , field testing , and life cycle assessment frameworks . Research trends show emphasis on: Advanced computational tools for hygrothermal analysis Integration of phase change materials in building systems Climate resilience in building envelopes Optimization of ventilation and moisture control

Alexander Katsaitisمشاهده پروفایل

دانشیار

• Policy-Making Processes
• Interest Group Dynamics
• Transparency in Governance
• +۳ مورد دیگر

Name: Alexander Katsaitis Position: Associate Professor, Docent Affiliation: Department of Political Science, Stockholm University Email: a.katsaitis@statsvet.su.se ORCID: 0000-0002-9427-6328 Education: PhD, University College London (October 2016) Research Focus: Alexander Katsaitis's research centers on the intersection of policymaker-organized interest interactions, decision-making procedures, and transnational partisan linkages. His work aims to enhance government policymaking through evidence-based recommendations in governance, transparency, and accountability. He has explored regulatory modernization in lobbying, gender representation in EU lobbying, and the evolving nature of EU business lobbying. Publications Trends: Katsaitis has published extensively on EU governance, business-government relations, and transparency mechanisms. His work includes a monograph on "Business Lobbying in the EU" (2021) and co-edited the "Handbook on Lobbying & Public Policy" (2024). Recent articles focus on political financing tracking, lobbying ethics, and institutional dynamics in the European Parliament. Previous Appointments: Before joining Stockholm University, Katsaitis held fellowships at the London School of Economics, European University Institute, and University of Oslo.

Lina von Sydowمشاهده پروفایل

استاد

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +۲ مورد دیگر

Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

• Construction Informatics
• Digital Construction
• Building Information Modelling (BIM)
• +۴ مورد دیگر

Mattias Roupé is an Associate Professor, Head of Department, and Research Area Leader at the Department of Construction Management and Engineering at Chalmers University of Technology. His research focuses on digital construction processes, including Building Information Modelling (BIM), Total BIM, Virtual Reality (VR), and digital twins. He holds a Ph.D. in Virtual Reality for decision-making in urban planning and building design. His work combines technical advancements in visualization and computational methods with human-centric aspects like perception and decision-making in design collaboration. Education: Ph.D. in Virtual Reality applications for urban planning and building design. Research interests span model-based construction processes, data-driven design, and immersive technologies for user involvement in healthcare and infrastructure projects. Notable projects include the Total BIM initiative, exploring integrated digital workflows, and the Digital Twin Cities Centre, advancing smart city technologies. His publications emphasize VR integration, BIM adoption challenges, and collaborative design tools. He leads several research grants funded by organizations like SBUF and Formas, focusing on construction innovation. Key contributions include frameworks for BIM-based scheduling, VR in healthcare facility design, and BIM-GIS integration for railway infrastructure. His work bridges technical and human factors to enhance construction efficiency and sustainability.

• Lightweight Composite Materials
• Structural Batteries
• Multifunctional Composites
• +۵ مورد دیگر

Leif Asp is a Professor in Lightweight Composite Materials and Structures at Chalmers University of Technology, working within the Division of Materials and Computational Mechanics. His research focuses on developing innovative materials that serve multiple functions, particularly structural batteries that can simultaneously store energy like a battery and carry mechanical load. Professor Asp's primary research interests include: Structural batteries and multifunctional composites Carbon fiber-based energy storage materials Synthesis, characterization, and design of multifunctional materials Mechanical and electrochemical properties of composite materials Computational modeling of structural battery systems Sustainable manufacturing and life cycle analysis of structural power composites His work bridges the gap between traditional structural materials and energy storage systems, creating what's often referred to as "massless energy" solutions. These materials could revolutionize industries like electric vehicles and aerospace by reducing overall weight while maintaining or increasing energy capacity. Analysis of Professor Asp's recent publications reveals a strong focus on practical implementation of structural battery technology. His research spans fundamental material science (characterizing carbon fibers for battery electrodes), engineering design (optimizing structural battery components), and systems integration (assessing viability for electric vehicles and aerospace applications). A notable trend is the increasing emphasis on sustainability, with several recent papers addressing recycling, life cycle analysis, and green synthesis methods for structural battery components. Professor Asp leads multiple significant research projects funded by prestigious organizations including the United States Air Force, Swedish Research Council, European Commission, and Swedish Innovation Agency. These projects focus on advancing structural battery technology from laboratory concepts toward practical applications. His research group appears to be highly collaborative, with numerous publications featuring co-authors from various institutions and disciplines, reflecting the interdisciplinary nature of structural power composites research.

• Policy Entrepreneurship
• Crisis Management
• Risk Management
• +۴ مورد دیگر

Evangelia Petridou serves as Associate Professor in the Department of Humanities and Social Sciences at Mid Sweden University, where she is core faculty at the Risk and Crisis Research Centre (RCR). Her academic work bridges political science and practical crisis management, with emphasis on European policy processes and Swedish governance structures. Her research focuses on policy entrepreneurship dynamics during crises, particularly examining how actors navigate institutional constraints in emergency contexts. Key areas include reactive policy entrepreneurship, risk communication across EU nations, and the operationalization of national policy styles during pandemics. She integrates theoretical frameworks like Kingdon's Multiple Streams with empirical analyses of Swedish municipal responses to disasters. Recent publications (2022-2025) reveal three dominant trends: conceptual expansion of policy entrepreneurship to street-level bureaucrats, methodological innovation through immersive simulations in crisis training, and comparative analyses of European pandemic responses. Her work consistently addresses the tension between centralized policy directives and local implementation challenges, especially in decentralized systems like Sweden. Dr. Petridou leads multiple externally funded projects including FUTURESILIENCE, LEGITIPREP, and RISE (Resilience in Sweden: Governance, Social Networks and Learning). She directs the RCR Lab at Mid Sweden University, which pioneers experimental design in crisis management education through virtual/physical immersion classrooms. Her collaborative network spans 15+ European institutions with frequent co-authorship on cross-national policy studies.

• Scientific Computing
• Computational Fluid Dynamics
• Finite Element Methods
• +۳ مورد دیگر

Johan Jansson is an Associate Professor in Scientific Computing at KTH Royal Institute of Technology and BCAM (Basque Center for Applied Mathematics). He leads research in predictive Direct FEM Simulation (DFS) for aerodynamics and multiphase flows, and co-founded Icarus Digital Math as CEO. His work includes the FEniCS open-source finite element software project and MOOC-HPFEM educational initiatives. He holds roles as Director of the Center for Digital Math and collaborates internationally in computational science. Research focuses on high-performance computing (HPC), fluid-structure interaction (FSI), biomedical modeling, and renewable energy systems. Notable contributions include adaptive FEM frameworks for turbulent flow, vocal fold simulations, and wave energy converter modeling. His work bridges academic research with industrial applications, leveraging FEniCS-HPC and Unicorn solvers. Key achievements include election to the IVA Royal Swedish Academy of Sciences 100-list and securing the Severo Ochoa Center of Excellence Award. He has pioneered open-source tools like SimTek and contributed to major projects like the Salter Sink and vocal production modeling. Teaching responsibilities include courses on database technology, computational fluid mechanics, and research methodology. He actively engages in large-scale simulation projects involving marine energy, cardiac ablation protocols, and aerodynamic optimization.

• Renewable Energy
• Fluid-Structure Interaction (FSI)
• Aeroacoustics
• +۵ مورد دیگر

Huadong Yao is an Assistant Professor at the Department of Marine Engineering, Chalmers University of Technology. His research spans renewable energy , fluid-structure interaction (FSI) , and transportation systems , with a focus on offshore wind farms, wave energy, and aero/hydroacoustics. Multi-University Collaboration : Guest professorships at international institutions Leadership Roles : Coordinator of Horizon 2020 projects (e.g., IVANHOE) and guest editor for journals Key Organizations : Member of AIAA, SAE International, RINA, ICNMT, and ICES Working Group on Offshore Renewable Energy His research integrates CFD and FSI coding (OpenFOAM, in-house codes) with turbulence modeling (LES, SNGR) to address problems in marine hydrodynamics (e.g., rim-driven thrusters, wind-powered ship propulsion) and terrestrial transportation (high-speed train aerodynamics, urban air mobility). Recent work explores biomechanics (whiplash injury hydrodynamics) and battery cooling systems for electric vehicles. Current projects focus on: Optimization of wave energy converter farms (hexagon layouts, mooring fatigue) Hubless rim-driven thruster design (gap geometry, concave cavities) Hydrographic impacts of offshore wind turbines on marine environments Urban air mobility (UAM) aerodynamics Multidisciplinary Design Optimization (MDO) using machine learning He collaborates with institutions like AIAA, SAE, and ICES, and has received funding from Horizon 2020 and Swedish national agencies.

• Microwave Engineering
• RF Systems Design
• Power Amplifier Design
• +۷ مورد دیگر

Christian Fager is a Full Professor at the Department of Microwave Electronics, Chalmers University of Technology, Sweden. He has been affiliated with Chalmers since completing his Ph.D. there in 2003. As Head of the Microwave Electronics Laboratory, his research focuses on nonlinear transistor modeling, energy-efficient power amplifier architectures, and distributed MIMO systems. He has co-invented 8 patents and published over 250 papers, including a seminal book on Nonlinear Transistor Model Parameter Extraction Techniques (Cambridge University Press, 2011). Dr. Fager holds editorial roles as Associate Editor of IEEE Microwave Magazine and member of the MTT-S Technical Coordination Committee on Wireless Communications. He is a Board Member of the European Microwave Association (EuMA) and has chaired multiple IEEE topical conferences. His awards include the Chalmers Supervisor of the Year (2018), inaugural Area of Advance Award (2010), and IEEE IMS Best Student Paper (2002). He leads research initiatives in distributed antenna systems, digital pre-distortion, and GaN/SiGe-based high-efficiency amplifiers, with projects involving testbed development for 5G/6G applications. His work bridges theoretical modeling and practical implementation in RF/microwave systems, emphasizing thermal and multi-physical simulation integration.

Paul Dickmanمشاهده پروفایل

استاد

• Cancer Epidemiology
• Biostatistics
• Survival Analysis
• +۳ مورد دیگر

Paul Dickman is a Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet in Stockholm. He has been employed there since 1999, serving as deputy head of department, head of the MEB Biostatistics group, and programme director for the Master's Programme in Biostatistics and Data Science. His research focuses on developing and applying statistical methods for population-based cancer survival analysis, particularly relative/net survival estimation and modeling. Education: PhD in Statistics (1997), University of Newcastle, Australia B.Math (Honours Class 1) (1992), University of Newcastle, Australia Research Interests: Cancer epidemiology Survival analysis Statistical methods for register-based studies Awards: Statistical Promoter of the Year 2023 Grants and Fundings: Swedish Cancer Society grants for developing statistical methods in cancer epidemiology Swedish Research Council grant for register-based research Advising and Mentorship: Supervised 8 doctoral students as primary supervisor and 18 as co-supervisor, covering topics like cancer survival, health technology assessment, and epidemiology. Labs/Teams: Leads the Statistical methods in epidemiology – Paul Dickman's research group , focusing on biostatistical methods for cancer survival analysis and policy applications.