جست‌وجوی استاد و پژوهشگر

• 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.

• Distributed Computing
• Distributed Algorithms
• Fault-Tolerance
• +۸ مورد دیگر

Marina Papatriantafilou is an Associate Professor in the Department of Computer Science and Engineering at Chalmers University of Technology and University of Gothenburg. Her research focuses on distributed computing, fault-tolerance, parallel algorithms, and concurrency control. She has contributed to methods for fault-tolerant distributed systems, visualization tools for distributed algorithms, and scalable overlay networks. Her academic roles include teaching advanced courses on distributed systems, computer communication, and operating systems. She advises graduate students in areas like distributed algorithms and parallel computing. Key research interests include lock-free synchronization, memory reclamation, and self-stabilizing systems. She has authored over 100 publications in top-tier conferences and journals, with recent work on data streaming frameworks, energy-sharing optimization, and vehicular network processing. Professional involvement includes roles in program committees for conferences like OPODIS, SWAT, and SSS, plus membership in research evaluation boards for Swedish and European funding agencies. She pioneered educational tools like the Lydian environment for distributed algorithm visualization.

• Distributed/Parallel Computing
• Information Visualization
• Fault-Tolerant Communication Mechanisms
• +۴ مورد دیگر

Philippas Tsigas is a Professor at the Department of Computer Science and Engineering at Chalmers University of Technology. He leads the Distributed Computing and Systems Research Group and has held roles as co-leader of research initiatives such as the PEPPHER project. His research spans distributed/parallel computing, information visualization, and fault-tolerant communication mechanisms. He has supervised numerous PhD students, including Yi Zhang, Håkan Sundell, and Farnaz Moradi. Research interests include lock-free data structures, multicore algorithms, secure network services, and visualization tools like Lydian and DataMeadow. Notable awards include Best Paper Awards at IPDPS 2003 and SNS 2012. His work has been published in top venues like IEEE Transactions on Parallel and Distributed Systems and ACM Journal of Experimental Algorithmics. Awards highlight contributions to lock-free algorithms and network modeling. Students have contributed to projects like NBmalloc (memory reclamation) and GPU Quicksort. Collaborations with institutions like SSF and VR have supported his research. Tsigas is also involved in teaching distributed systems and mentoring early-career researchers.

• Renewable Energy
• Wave Energy
• Electric Vehicle Integration
• +۷ مورد دیگر

Valeria Castellucci is a Senior Lecturer and Associate Professor in the Department of Electrical Engineering at Uppsala University, Sweden, affiliated with the Division of Electricity. She holds the title of Docent in Engineering Science with Specialisation in Science of Electricity, reflecting her advanced academic standing and research contributions. Her research focuses on renewable energy systems, particularly wave energy and the integration of electric vehicles into power grids. Key areas include demand-side flexibility, peak load management, load shifting, and the optimization of wave energy parks. Her work combines theoretical modeling with real-world applications, often based on case studies in Uppsala, such as microgrid operations and EV charging infrastructure in parking garages. The recent publications highlight a strong trend toward smart grid technologies, grid stability, and the role of distributed energy resources in modern power systems. Her research emphasizes practical solutions for integrating variable renewable sources and managing electricity demand efficiently. Docent in Engineering Science with Specialisation in Science of Electricity Valeria Castellucci is actively involved in research collaboration, particularly with colleagues such as Carl Flygare, Alexander Wallberg, and Rafael Waters. Her work has been cited in policy sources and referenced in Wikipedia, indicating broader impact beyond academia. She contributes to both journal publications and conference proceedings, maintaining a high level of scholarly output in energy and electrical engineering. She is based at Ångströmlaboratoriet in Uppsala and is a key contributor to Uppsala University's wave energy research, including work at the Lysekil Research Site. Her doctoral thesis, Sea Level Compensation System for Wave Energy Converters (2016), laid the foundation for much of her ongoing research in marine renewable energy systems.

• Experimental Fluid Dynamics
• Turbomachinery Aerodynamics
• Bearing Lubrication
• +۵ مورد دیگر

Valery Chernoray is a Research Professor at the Division of Fluid Dynamics, Chalmers University of Technology. Since 1996, he has specialized in experimental fluid dynamics with extensive expertise in modern flow analysis and measurement techniques. He currently leads the Chalmers Laboratory of Fluid and Thermal Science, a university-wide research infrastructure facility that provides equal access to flow, temperature, and motion measurement capabilities for researchers across all engineering disciplines at Chalmers. Professor Chernoray's research encompasses several key areas in fluid dynamics: Experimental validation of computational models using Particle Image Velocimetry (PIV) Turbomachinery aerodynamics, particularly turbine rear structures and outlet guide vanes Bearing lubrication systems and multiphase flow in mechanical components Active flow control applications for automotive and marine systems Wind engineering for urban and marine environments Heat transfer analysis in complex engineering systems His recent publications (2022-2024) reveal a strong emphasis on experimental validation of computational models, with particular focus on lubrication systems in bearings and gearboxes, turbine aerodynamics, and active flow control. His work consistently bridges theoretical fluid dynamics with practical engineering applications, demonstrating expertise in both fundamental research and industrial problem-solving. As head of the Chalmers Laboratory of Fluid and Thermal Science, Professor Chernoray oversees comprehensive experimental facilities supporting research across multiple engineering disciplines. The laboratory provides critical infrastructure for experimental work in air, water, and solid object measurements, serving as a hub for interdisciplinary collaboration at Chalmers University.

Cecilia Boströmمشاهده پروفایل

مدرس ارشد

• Renewable Energy
• Electrical Systems
• Marine Energy
• +۴ مورد دیگر

Cecilia Boström serves as a Senior Lecturer (Universitetslektor) and Docent at Uppsala University's Department of Electrical Engineering within the Faculty of Science and Technology. She holds dual roles as both an academic faculty member and Prefect (Head) of the Department of Electrical Engineering at the Ångström Laboratory. Her institutional email is cecilia.bostrom@angstrom.uu.se and she can be reached at phone number 018-471 58 55. Dr. Boström's research primarily focuses on electrical systems for renewable energy applications, with particular emphasis on wave power technology. Her work spans renewable energy integration, power grid stability, marine energy systems, and electrical engineering solutions for sustainable energy. She has extensively studied wave energy converters, power electronics for renewable integration, grid-forming control systems, and the application of marine energy for desalination and freshwater production. Her research aims to ensure that a significant portion of the world's future energy supply comes from renewable sources while maintaining reliable power systems. Analysis of her recent publications reveals a strong trend toward grid integration of renewable energy sources, particularly wave power systems. Her work demonstrates increasing focus on power electronics control strategies, grid-forming capabilities for island electrification, and service stacking with energy storage systems to address grid congestion. There's also a clear trajectory toward practical applications of wave energy for specific use cases like freshwater production on islands and vehicle-to-grid integration. Dr. Boström has been consistently active in wave energy research since the early 2000s, with numerous publications related to the Lysekil wave energy research site in Sweden. Her work spans theoretical modeling, experimental validation, and practical implementation of wave energy conversion systems. She appears to be actively involved in advising students and collaborating on research projects, as evidenced by her numerous co-authored publications across various topics in electrical engineering and renewable energy. Her work frequently intersects with energy storage applications, power quality assessment, and innovative control strategies for renewable integration. Dr. Boström is part of Uppsala University's wave energy research group, which has been conducting experiments at the Lysekil research site since the mid-2000s. This group has developed direct-drive linear generator technology for wave energy conversion and has been instrumental in advancing marine renewable energy research in Sweden.

Alice Haynesمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Soft Robotics
• E-Textiles
• +۶ مورد دیگر

Alice Haynes is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, working on the Felt Connections project under the Division of Media Technology and Interaction Design . She collaborates with Prof. Kristina Höök and Associate Prof. Iolanda Leite to create shape-changing textile interfaces that foster meaningful bodily interactions for children and adults. Education PhD in Engineering Mathematics, University of Bristol (2022) Specialization in Soft Robotics and Haptic Interfaces Her research blends soft robotics, e-textiles, and soma design to develop tactile technologies that prioritize bodily engagement over traditional visual/auditory interfaces. Current work explores: first-person design for scoliosis, symmetry-asymmetry dynamics in bodily interactions, and soma-driven methods that emphasize felt experiences. Key article trends include shape-changing textiles (SMA-actuated smocking, machine embroidery), emotional/therapeutic applications (anxiety relief, social touch), and multisensory integration (audio-tactile mappings, biosignal interaction). Scientific Contributions Recipient of Digital Futures Postdoctoral Fellowship Co-design methodologies for child-centered technology Material-driven evaluation frameworks for e-textiles Embodied interaction paradigms through haptic cushions Alice teaches Human-Computer Interaction Research Seminars (DH2632) and Media Technology and Interaction Design (DM2601) , while actively seeking Master's students for collaborative thesis work.

• Network Performance
• Cybersecurity
• Congestion Control
• +۴ مورد دیگر

Simone Ferlin is an Adjunct Senior Lecturer at Karlstad University and a Senior Performance Engineer. She holds a PhD in Computer Science from Simula Research Lab and Universitetet i Oslo (2017), focusing on robustness in multipath transport protocols like MPTCP. Her research spans network performance, security, and congestion control in mobile/5G networks and the Internet. She collaborates actively with academia and industry, co-supervising students in areas such as edge computing, container orchestration, and distributed systems. Affiliations: Department of Informatics, Karlstad University; Red Hat Research; Ericsson R&D. Education: PhD (2017), Simula/UiO; Master’s and Undergraduate studies emphasized networking and electronics. Her work includes projects like AIDA (AI-driven edge networking) and DRIVE (latency-sensitive mobile services). She has published over 50 papers on topics like QUIC, eBPF, and containerized microservices. Awards include the Best Paper at IEEE ICIN 2021 and ANRP 2025 Prize. Teaching responsibilities include Future Internet Design and Service Quality . Advising spans 15+ students across institutions like TU Berlin, KTH, and Unifesp. She chairs conferences (e.g., ACM SIGCOMM 2025) and serves on editorial boards (IEEE Communications Magazine). Key interests: network observability, low-latency protocols, and sustainability in networking.

• Wireless Communication
• Communication Systems
• Cellular Networks
• +۴ مورد دیگر

Ki Won Sung is an Associate Professor at KTH Royal Institute of Technology, specializing in wireless communication systems and network optimization. His research focuses on 5G/6G technologies, integrated sensing-communication systems, cell-free massive MIMO, and stochastic network modeling. Research interests include: Wireless network architecture design and optimization Resource allocation in multi-user communication systems Integrated sensing and communication (ISAC) Stochastic modeling of ultra-dense networks Energy-efficient communication protocols Millimeter wave and massive MIMO systems His recent publications demonstrate strong emphasis on beyond-5G systems, particularly cell-free massive MIMO deployments and URLLC applications. Research trends show consistent focus on network optimization through advanced signal processing, geometric decomposition methods, and cross-layer protocol design. Teaching activities include course management and examination for multiple degree projects and core courses: Communication Systems (IK2200) Mathematical Statistics (IX1501) Mobile Networks and Services (IK2560) Radio Networks (IK2510) Stochastic Simulation (II2206) Wireless Systems (IK1330)

• Smart Electricity Grids
• Energy Storage Systems
• Electromagnetic Compatibility
• +۳ مورد دیگر

Daniel Månsson is a Professor at the Department of Electrical Engineering, Royal Institute of Technology (KTH), specializing in smart electricity grids and power system components. His work spans electromagnetic compatibility (EMC) of large distributed systems, energy storage optimization, and privacy protection in smart metering. PhD in Engineering Physics (with specialization in Electromagnetism) Docent (Swedish Academic Title) in Electrical Engineering His research focuses on: Optimization of self-sufficient microgrids with energy hubs Smart meter privacy protection using energy storage EMC analysis of photovoltaic systems and UWB transients Hybrid energy storage system performance in renewable grids Recent publications indicate expertise in: Electromagnetic interference from solar PV systems Cyber-physical security in smart meters Conducted emission analysis Greenhouse gas reduction through optimized storage

Kenneth Backlundمشاهده پروفایل

دانشیار

• Environmental Economics
• Public Finance
• Sustainability Policy
• +۷ مورد دیگر

Kenneth Backlund is an Associate Professor at the Department of Economics within the Umeå School of Business, Economics and Statistics (USBE) at Umeå University. His primary affiliation is with the Economics section and he is located at Samhällsvetarhuset, Biblioteksgränd 6, A23701 in Umeå. He holds a recognized university teacher qualification and is actively involved in the Economic Policy Network research group. His research focuses on environmental policy, sustainability frameworks, and welfare economics. Key areas include tax policy design under migration pressures, hyperbolic discounting effects on paternalistic policies, and the role of technology transfers in climate policy. He has extensively studied green taxation mechanisms, public goods provision in heterogeneous economies, and the interplay between nuclear energy policy and differential game theory. Backlund's work frequently integrates quantitative methods with normative policy analysis. His publications span topics from optimal tax systems in unionized labor markets to the theoretical foundations of green accounting in imperfect markets. Notable contributions include analyses of the Clean Development Mechanism's effectiveness and the economic implications of emigration on fiscal frameworks. He has collaborated with institutions like the Edward Elgar Publishing and has contributed to edited volumes such as Handbook Of Environmental Accounting . His research demonstrates a commitment to bridging theoretical economic models with real-world policy challenges in sustainability and public finance. Backlund can be contacted via email at kenneth.backlund@umu.se or via phone at +46 90 786 78 78 for academic inquiries related to his research or teaching activities.

• High-Dimensional Statistics
• Portfolio Optimization
• Bayesian Analysis
• +۳ مورد دیگر

Taras Bodnar is a Professor at the Department of Management and Engineering, Linköping University. His research focuses on high-dimensional statistical methodologies with applications in finance, portfolio optimization, and econometrics. He specializes in developing and analyzing advanced statistical models for asset allocation, risk management, and multivariate meta-analysis. Bodnar's work often involves Bayesian methods, shrinkage estimation techniques, and copula modeling to address challenges in financial data analysis. His recent contributions include the HDShOP package for portfolio selection and advancements in nonlinear shrinkage tests for large-dimensional covariance matrices. His research bridges theoretical statistics with practical financial applications, addressing issues such as dark uncertainty and efficient frontier estimation in high-dimensional settings. Key research interests include: High-Dimensional Portfolio Optimization Bayesian Analysis in Financial Contexts Covariance Matrix Estimation and Testing Uncertainty Quantification in Multivariate Analyses Statistical Software Development for Finance Recent publications (2024-2025) emphasize methodological innovations in portfolio selection, copula modeling, and robust statistical inference. His work has implications for both academic theory and practical investment strategies, particularly in managing large and complex financial datasets.

• Nanofabrication
• Sensors
• Nanomaterials
• +۷ مورد دیگر

Shyamprasad Natarajan Raja is a Researcher at the Department of Micro and Nanosystems at KTH Royal Institute of Technology. His work focuses on developing solid-state nanogap and nanopore platforms for single molecule sensing applications. He holds a BEng in Mechanical Engineering from IIT Madras (India), and MSc and PhD degrees from ETH Zurich (Switzerland). His research spans nanomaterials, nanofabrication, microfluidics, and sensing technologies, with a strong emphasis on phonon transport in low-dimensional materials like nanowires and graphene. His research has been supported by grants such as the SSF Sweden Israel Research Collaboration (2022–2027) and the Ragnar Holm Foundation (2018). Key areas of exploration include nanofabrication techniques for precise sensors, molecular interactions using nanopores, and thermal properties of nanomaterials. Recent advancements include scalable fabrication of silicon nanopores, high-bandwidth measurement systems for tunnel junctions, and studies on graphene thermal conductivity under annealing conditions. Raja’s publications highlight interdisciplinary approaches, blending materials science, electronics, and biotechnology. His work on crack-defined gold break junctions and phonon transport limits in nanowires demonstrates a deep integration of experimental and theoretical methodologies. Future research directions include expanding applications of nanopore-based biosensors and optimizing nanogap platforms for real-time molecular analysis.

Saad Mubeenمشاهده پروفایل

استاد

• Embedded Systems
• Real-Time Communication
• Predictable Software Development
• +۵ مورد دیگر

Saad Mubeen is a Full Professor of Computer Science at Mälardalen University, Sweden, affiliated with the School of Innovation, Design and Engineering and the Division of Networked and Embedded Systems. He holds a Master's in Electrical Engineering (Embedded Systems) and a PhD in Computer Science and Engineering from Mälardalen University (2014), with a Docent title (2018) focused on vehicular embedded systems. His research emphasizes predictable embedded systems, timing analysis for real-time communication, and component-based software design. Key areas include model-driven development for automotive systems, integration of TSN/5G networks, and fault-tolerant industrial architectures. He has led projects on end-to-end timing analysis in distributed systems, ROS 2 verification, and cognitive edge-cloud scheduling. Publications span 2021–2025, focusing on real-time systems, network protocols (TSN, AVB, 5G), and industrial automation. Notable work includes frameworks for TSN configuration, fault diagnosis tools using NETCONF, and scheduling algorithms for heterogeneous edge-cloud environments. His contributions address critical challenges in timing predictability, security, and resource optimization for cyber-physical systems. Education contributions include problem-based learning modules for vehicular software engineering. He is actively involved in bridging academia and industry through collaborative research on next-generation automotive and industrial systems.

Jan Rolfesمشاهده پروفایل

دانشیار

• Optimization under Uncertainty
• Distributional Robustness
• Data Science
• +۷ مورد دیگر

Jan Rolfes is an Associate Professor in the Department of Mathematics at Linköping University, specializing in Applied Mathematics (TIMA). He also holds concurrent research and teaching roles at RISE - Research Institutes of Sweden and the University of Erlangen-Nuremberg, Germany, where he serves as Interim Professor for Data Driven Design of Dynamical Systems. His academic affiliations span Sweden and Germany, reflecting a transnational research profile in optimization and data science. Research Interests: His work centers on optimization under uncertainty , particularly in systems affected by stochastic fluctuations such as renewable energy grids. He integrates distributional robustness to protect decisions against rare but impactful events and employs data science to model complex dependencies, such as weather impacts on energy production. His research extends into economics, engineering disciplines (electrical, chemical, vehicular), and metric and discrete geometry, using advanced mathematical tools like semidefinite and mixed-integer programming. Recent Research Trends: His latest publications (2024–2025) demonstrate a strong focus on robust optimization frameworks, geometric optimization problems, and data-driven approximations. The articles reveal a consistent methodological thread—using mathematical programming to address uncertainty in both theoretical (e.g., discrete geometry) and applied (e.g., nanotomography, power systems) domains. Keywords across these works include distributional robustness, mixed-integer programming, semidefinite programming, and data-driven modeling. Scientific Awards: No awards or fellowships are mentioned in the provided text. Advising and Grants: While no formal list of advisees is provided, Jan Rolfes has been advised by prominent researchers including Frank Vallentin, Jan Kronqvist, and Michael Jünger, indicating a strong mentorship network. He has collaborated extensively, particularly with Frauke Liers and others in optimization and computer science. No grants are explicitly mentioned, but his positions at RISE and Linköping University suggest involvement in funded research projects. Labs and Teams: He is affiliated with the Division of Applied Mathematics (TIMA) at Linköping University, which conducts research in computational mathematics, optimization, and mathematical statistics. His work at RISE connects him to the Unit of Power Systems, and his role at Erlangen-Nuremberg links him to data science and dynamical systems research teams.