جست‌وجوی استاد و پژوهشگر

Ricardo Vinuesaمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Fluid Mechanics
• Sustainability
• +۷ مورد دیگر

Ricardo Vinuesa is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Department of Mechanics within the School of Engineering Sciences. He serves as the Principal Investigator (PI) for projects such as 'An AI-based framework for harmonizing climate policies and projects with the SDGs' and co-leads the 'Faster-than-real-time and high-resolution simulation of fluid flow in engineering applications' initiative. His work integrates artificial intelligence with fluid mechanics, sustainability, and climate policy. Education and Academic Roles: Vinuesa teaches courses including Data-driven methods in engineering mechanics, Mechanics I, and Turbulence, holding roles as examiner, course manager, and teacher. He is part of the Digital Futures Faculty and actively contributes to academic programs at KTH. Research Interests: His research focuses on AI-driven solutions for fluid mechanics challenges, turbulence modeling, sustainable development goals (SDGs), and climate policy alignment. He develops machine learning frameworks for flow control, sensor optimization, and climate risk assessment, emphasizing interdisciplinary applications. Projects and Applications: Key projects include AI-based frameworks for SDG harmonization, high-resolution fluid simulations for indoor climate, and turbulence control via reinforcement learning. His work bridges computational fluid dynamics with real-world sustainability challenges, leveraging deep learning and data-driven methodologies. Labs and Collaborations: Vinuesa leads the Artificial Intelligence Group, with a lab website at vinuesalab.com . His research is supported by collaborations with industry and academic partners, focusing on advancing fluid mechanics and environmental engineering through AI innovation.

Anders Lansnerمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuromorphic Engineering
• Brain-like Computing
• +۴ مورد دیگر

Anders Lansner is a Professor of Computer Science at Stockholm University and holds an affiliated professorship at KTH Royal Institute of Technology. He leads the Lansner Lab (Computational Biology and Neurocomputing) at the Department of Computational Science and Technology (CST) within the School of Computer Science and Communication (CSC) at KTH. His research focuses on computational neuroscience and brain-like computing, emphasizing mathematical and computational models of neuronal networks in the neocortex and basal ganglia. Key projects include developing neuromorphic algorithms for supercomputers and FPGA-based hardware implementations. Lansner manages the computational neuroscience platform for the Stockholm Brain Institute (SBI) and the neuroinformatics platform for StratNeuro (Karolinska Institutet). His lab contributes to EU projects such as FACETS and NEUROChem, and collaborates with KTH’s Electronics Department on modular brain-inspired FPGA designs. Research interests span synaptic plasticity mechanisms, memory systems (episodic, semantic, and working memory), and applications in neuromorphic computing. He supervises graduate students and teaches courses in computational neuroscience. Lansner’s work bridges theoretical neuroscience with engineering, aiming to advance brain-inspired AI and hardware systems. His lab’s StreamBrain framework supports heterogeneous computing architectures for brain-like neural networks. Notable collaborations include cross-disciplinary efforts in neuromorphic hardware development (e.g., memristor-based learning engines) and olfactory system modeling. Lansner’s research addresses both fundamental brain mechanisms and technical applications in data analysis and neurorobotics.

Oscar Quevedo Teruelمشاهده پروفایل

استاد

• Electromagnetic Engineering
• Antenna Theory
• Metasurfaces
• +۱۲ مورد دیگر

Oscar Quevedo Teruel is a Full Professor in the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology, where he is affiliated with the Division of Electromagnetic Engineering and Fusion Science. He leads the Antenna Laboratory and serves as Director of the Master’s Programme in Electromagnetics, Fusion and Space Engineering. He is also an Associate Editor of IEEE Transactions on Antennas and Propagation and founder and Editor-in-Chief of Reviews of Electromagnetics. Research Interests: His research spans advanced electromagnetic structures, including glide symmetries, transformation optics, metasurfaces, lens antennas, and geodesic lenses. These are applied to 5G/6G communications, satellite systems, and millimeter-wave technologies. He investigates low-dispersive leaky-wave antennas, high-impedance surfaces, and periodic electromagnetic structures for enhanced performance in modern wireless systems. The recent publications highlight a strong trend in leveraging glide symmetry and metasurfaces to design compact, efficient, and broadband antennas—particularly for Ka-band and 60 GHz applications. His work integrates ray tracing, physical optics, and transformation optics to model and optimize geodesic and graded-index lenses. The research emphasizes industrial applications in telecommunications, satellite systems, and radar, often in collaboration with Ericsson, ESA, and other leading institutions. Scientific Awards and Leadership: Distinguished Lecturer, IEEE Antennas and Propagation Society (2019–2021) Chair, IEEE APS Educational Initiatives Programme (since 2020) Member and Vice-Chair, EurAAP Board of Directors (since 2021, Vice-Chair since 2022) EurAAP Delegate for Sweden, Norway, and Iceland (2018–2020) Advising and Grants: He supervises multiple PhD and Master’s students and leads numerous research projects funded by SSF, Vinnova, VR, ESA, STINT, ONR, and industry partners including Ericsson, SAAB, and Thales. These projects focus on innovative antenna systems for 5G/6G, satellite communications, and space instrumentation. He is also the KTH leader in several international collaborations, including MSCA Doctoral Networks and COST Actions. Laboratories and Teams: He is responsible for the Antenna Laboratory within the Sustainable Power Lab at KTH and leads the 'Radio electronics and antennas' area in SweWIN, the Swedish Wireless Innovation Network. His team actively collaborates with industrial and academic partners across Europe and the US.

Martin Magnussonمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Martin Magnusson is a Professor at the Department of Natural Sciences and Technology, Örebro University, leading the Center for Applied Autonomous Sensor Systems (AASS) and the Robot Navigation and Perception Lab . His research focuses on robotics and artificial intelligence , particularly 3D mapping, localization, radar-based navigation, and human-robot interaction . Email: martin.magnusson@oru.se Phone: +46 19 303870 Location: Room T1222 His work addresses fundamental challenges in achieving robust autonomy through innovations like the 3D Normal Distributions Transform (3D-NDT) and methods for scan registration in dynamic environments. Recent research extends to radar-based navigation and heterogeneous map data integration , with ethical implications regarding military applications of autonomous systems. Key research themes include: Autonomous Perception: Radar and lidar sensor fusion for localization Dynamic Mapping: Flow-aware and quality-assessed environmental models Human-Aware Robotics: Predictive modeling for safe shared-space navigation Professor Magnusson teaches Computer Graphics , connecting academic principles (e.g., ray tracing, light scattering) to applied research in radar simulation models and neural rendering . His research projects span DARKO (agile production robots), NiCE (changing environment navigation), and Radarize (underground autonomous vehicles).

• Pulp and Paper Technology
• Sustainable Materials
• Mechanical Pulping
• +۳ مورد دیگر

Jan-Erik Berg serves as an Associate Professor and Researcher at Mid Sweden University within the Department of Chemical Engineering (Department of Engineering, Mathematics and Science Education - IMD). He is actively affiliated with the FSCN Research Centre (Fibre Science and Communication Network) and leads research in sustainable pulp/paper technology and mechanical pulping processes. His academic foundation includes a Doctoral Thesis (2008) titled Wood and fibre mechanics related to the thermomechanical pulping process from Mid Sweden University and a Licentiate Thesis (1996) titled Fracture Behaviour of Wood and Fibres as Related to the Mechanical Pulping Process from the Royal Institute of Technology. Berg's research centers on wood fiber mechanics in pulping systems, with emphasis on low-consistency refining, energy efficiency optimization, and sustainable packaging material development. He investigates fiber fragmentation dynamics, pulp flow helicity in refiner grooves, and innovative technologies like steel belt pressing for high-yield pulps. His work integrates fluid dynamics, material science, and process engineering to enhance pulp quality while reducing environmental impact. Analysis of his 2015-2025 publications reveals consistent focus on sustainable mechanical pulping: machine learning applications for fiber classification, force measurements in refiners, and process intensification for eco-friendly packaging. Key trends include energy reduction through system design optimization, development of bulky CTMP for strength/bulk balance, and novel measurement techniques for industrial implementation. Dr. Berg actively contributes to major research initiatives including NeoPulp, e2cmp (Eco-friendly efficient chemimechanical system for sustainable packaging materials), EcoMat, EcoSys, and ENM-NSP (Eco-nanocellulosic materials). These projects demonstrate successful grant acquisition and industry collaboration focused on sustainable material innovation. As a core member of the FSCN Research Centre, he participates in interdisciplinary teams advancing fiber-based material science. His work bridges fundamental mechanics (wood fracture behavior) with industrial applications through mill-scale evaluations and process implementations described in his publications.

• Operations Research
• Supply Chain Management
• Inventory Control
• +۳ مورد دیگر

Peter Berling is a Lecturer in Logistics and Supply Chain Management at the School of Business and Economics , Linnaeus University. He extends his expertise to the Engineering School at Lund University and the Zaragoza Logistics Center , teaching across academic levels and serving as a guest lecturer in European institutions.

• Power Electronics
• Electric Vehicle Power Systems
• AC Motor Drives
• +۶ مورد دیگر

Sobhi Barg serves as an Assistant Senior Lecturer in Power Electronics at Mälardalen University's Department of Computer and Electrical Engineering (DET) in Sundsvall, Sweden. His position within the STC Research Centre focuses on advanced power conversion systems and magnetic component design for electric vehicles and renewable energy applications. Education: PhD in Electrical Engineering from National Engineering School of Sfax (2018) Erasmus Master in Sustainable Transportation and Electrical Power Systems (University of Oviedo, University of Nottingham, Polytechnic Institute of Coimbra) (2015) Master in Electrical Systems from National Engineering School of Tunis (2010) Engineering Degree from National Engineering School of Tunis (2008) His research centers on multi-objective optimization of power electronic systems , with expertise in core loss modeling for high-frequency magnetics, wireless power transfer, and EV power conversion. Recent work demonstrates innovative approaches to planar magnetics using unbalanced-flux techniques and precise core loss calculation for non-sinusoidal waveforms, significantly advancing efficiency in power converter design. Publications since 2019 reveal strong focus on magnetic component optimization and loss modeling , with 50% appearing in IEEE Transactions journals. Key trends include development of empirical core loss models for complex waveforms (2025), novel unbalanced-flux approaches for planar magnetics (2023-2024), and multi-objective GA optimization techniques for flyback transformers (2019). Scientific Recognition: Erasmus Mundus Scholarship-Category A (48,000 Euro) for Master studies in Sustainable Transportation and Electrical Power Systems (2013-2015) Dr. Barg teaches Analog Electronics and Electric Circuits laboratory courses while contributing to the STORE (Electrical Energy Storage) and MDOBC research projects. His work at the STC Research Centre bridges theoretical modeling with practical applications in renewable energy systems and electric vehicle powertrains, emphasizing experimental validation through Seebeck effect measurements and FEA simulations. Current research activities include DC inductor design based on Ampere's Law (2024) and continued refinement of core loss models for next-generation power converters, with significant implications for high-efficiency energy conversion in sustainable transportation systems.

• Maintenance Management
• Industrial Information Systems
• Digital Transformation
• +۴ مورد دیگر

Mirka Kans is an Associate Professor in the Department of Mechanical Engineering at Linnaeus University (formerly Växjö University), where she has taught since 2000. Her academic journey includes an MSc in Computer Science (2003), a PhD (2008), and Associate Professorship (2013). She specializes in data and IT requirements for maintenance management, digital transformation in industry, and engineering education development. Education: MSc (2003), PhD (2008), Associate Professor (2013) Research Groups: Smart Industry Group (SIG), Mechanical Engineering Her research spans digital transformation , condition monitoring , and STEM education equity . She leads the HUG project on sustainable gravel road maintenance and has completed initiatives like the Future Industrial Services Management and STEM education projects. She actively applies the CDIO educational framework and focuses on student-centered learning. Mirka’s recent publications emphasize data-driven maintenance (2024), service business models in railways (2023), and cloud-based gravel road systems (2020). Her work integrates interdisciplinary approaches from computer science and mechanical engineering to address industry challenges. She contributes to pedagogical innovation through remote laboratories (2020), flipped classroom STEM education (2021), and interdisciplinary master's programs (2020). Her collaborations with industry and academic partners underscore a commitment to practical, sustainable solutions.

• Artificial Intelligence
• Neuroevolution
• Evolutionary Dynamics
• +۳ مورد دیگر

Arend Hintze is a Professor of Microdata Analysis at Dalarna University's Department of Information and Technology. His research bridges artificial intelligence, evolutionary biology, and computational psychiatry, focusing on neuroevolution, cellular automata, and digital health applications for bipolar disorder. Key research themes include: Evolutionary dynamics in computational models AI for mental health prediction Cellular automata and self-replication Large language model behavior analysis Recent publications demonstrate interdisciplinary work across computer science, genetics, and psychiatry, with emphasis on: Neuroevolution and information transfer Fitness landscape navigation Bipolar disorder early warning systems Evolutionary game theory applications His work frequently employs agent-based modeling, digital evolution, and deep learning techniques.

Fran Marquezمشاهده پروفایل

مدرس ارشد

• Electrical Engineering
• Energy Systems
• Transport Electrification
• +۶ مورد دیگر

Fran Marquez is a Senior Lecturer at the Division for Industrial Electrical Engineering and Automation within the Faculty of Engineering at Lund University. They serve as a Theme Leader for Electric Drives and Charging at the Swedish Electromobility Centre and contribute to the LTH Profile Area: The Energy Transition. Current projects include Truck2Grid (Swedish Energy Agency, 2025–2027) and E-Charge 2 (Vinnova, 2024–2027). Active in research on transport electrification , charging infrastructure , and electric drive systems . Research focuses on conductive electric roads , renewable energy integration , and vehicle-to-grid (V2G) technologies . Publications analyze traffic characteristics , thermal models , and high-speed charging systems. Organized seminars and conferences as part of The Energy Transition initiatives, including collaborative retreats and lunch seminars in 2024.

Jonas Ekblomمشاهده پروفایل

دانشیار

• Decision-Making Under Uncertainty
• Operations Research
• Finance
• +۵ مورد دیگر

Jonas Ekblom is an Associate Professor at the Department of Management and Engineering (IEI) in the Production Economics (PEK) division at Linköping University. He holds a PhD in Financial Mathematics from Linköping University and has been a visiting PhD student at the Chicago Booth School of Business. His research focuses on decision-making under uncertainty in financial markets, leveraging stochastic optimization methods such as stochastic programming and reinforcement learning. PhD in Financial Mathematics (Linköping University) Master's degrees in Industrial Engineering & Management and Economics Research interests include the intersection of operations research and finance, with a focus on portfolio choice, financial risk management, and methodological contributions like scenario generation via importance sampling. His work bridges theoretical advancements and practical applications in financial decision-making. Key publications explore multi-stage stochastic programming, intertemporal portfolio choice, and corporate hedging strategies. He has received awards for teaching excellence and research contributions, including the Best Student Paper Award at the 2018 Computational Management Science Conference. Affiliations: Production Economics (PEK), Department of Management and Engineering (IEI) Email: jonas.ekblom@liu.se

Raghu Chaitanya Munjuluryمشاهده پروفایل

دانشیار مدعو

• Aerospace Engineering
• Systems Engineering
• Simulation and Modeling
• +۳ مورد دیگر

Raghu Chaitanya Munjulury is an Adjunct Associate Professor at Linköping University's Department of Management and Engineering (IEI), specializing in Fluid and Mechatronic Systems (FLUMES). His work focuses on advancing aircraft design methodologies through interdisciplinary approaches in systems engineering, simulation, and knowledge-based frameworks. He holds a formal academic appointment at Linköping University, contributing to both research and education in aerospace systems and multidisciplinary engineering. Research Interests: Conceptual aircraft design optimization Model-based systems engineering (MBSE) Multi-fidelity simulation techniques Integration of artificial intelligence in engineering workflows Knowledge-driven design automation Recent publications highlight innovations in aircraft environmental control systems, ontology-assisted design processes, and interoperability standards for system integration. His work bridges computational methods with practical aerospace applications, emphasizing digital engineering practices. Collaborations include projects on firefighting aircraft systems, hydrogen fuel integration, and unmanned aerial systems. Munjulury's contributions extend to advancing standardization efforts in geometry-physics modeling exchange and virtual reality applications for aircraft cabin design. His research aligns with global trends in sustainable aviation and digital transformation in engineering sectors.

Carl Henrik Hällمشاهده پروفایل

دانشیار

• Railway and Public Transport
• Transportation Engineering
• Operations Research
• +۳ مورد دیگر

Carl Henrik Häll is an Associate Professor at Linköping University's Department of Science and Technology, within the Communications and Transport Systems division. His research focuses on railway and public transport systems, including timetable optimization, freight train rescheduling, dynamic bus lane analysis, and electric vehicle integration. He has collaborated on projects addressing infrastructure modeling, disruption recovery, and sustainable transport solutions. Key research areas include transportation engineering, operations research, and logistics. His work combines mathematical modeling, simulation, and heuristic algorithms to improve traffic flow, resource allocation, and system stability. Notable contributions include developing MILP models for freight train rescheduling and evaluating dynamic bus lane impacts using real-world simulations. Recent publications emphasize railway crew scheduling, electric bus timetabling, and robust train path insertion in non-cyclic networks. He actively participates in interdisciplinary projects, such as B-PREPARED (disaster preparedness) and EAN (electric aircraft networks), and contributes to the Swedish transport research community through conferences like STRC2025. His expertise spans both academic and applied contexts, with a focus on translating research into practical tools for transportation planners and operators.

Jonas Lantzمشاهده پروفایل

دانشیار

• Cardiac Blood Flow Simulation
• Computational Fluid Dynamics (CFD)
• Medical Imaging (CT/MRI)
• +۳ مورد دیگر

Jonas Lantz is an Associate Professor at Linköping University, affiliated with the Department of Health, Medicine and Caring Sciences and the Division of Diagnostics and Specialist Medicine. His research focuses on simulating cardiac blood flow using advanced imaging techniques like CT and MRI, aiming to improve early detection and management of cardiac diseases. He leads projects such as the Medical Digital Twin (MeDigiT) platform and collaborates with institutions like the Center for Medical Image Science and Visualization (CMIV). Notably, his team’s model for simulating heart function won the 'Best in Show 2019: Academic' award from Ensys. Lantz holds a PhD in applied thermodynamics and fluid mechanics and has pioneered methods transferring computational techniques from the automotive industry to medical applications. His work integrates biomechanics, imaging, and computational fluid dynamics to address cardiovascular challenges. Education and Background: PhD in Applied Thermodynamics and Fluid Mechanics Research Interests: Patient-specific cardiac blood flow simulations 4D imaging and visualization techniques Medical digital twins for clinical applications CFD in cardiovascular disease diagnosis Key Projects: Simulation of Cardiac Blood Flow from CT Medical Digital Twin (MeDigiT) 4D Flow MRI Optimization Recognition: Best in Show 2019 Academic Contribution (Ensys) Global Hall of Fame Entry Labs/Collaborations: Center for Medical Image Science and Visualization (CMIV) National Supercomputer Centre (NSC) at LiU

Katerina Vrotsouمشاهده پروفایل

دانشیار

• Visual Analytics
• Climate Adaptation
• Energy Systems
• +۵ مورد دیگر

Katerina Vrotsou is an Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) division. Her research focuses on visual analytics, climate adaptation, and generative AI applications in energy systems. She leads projects exploring synthetic data for sustainable housing and AI-driven climate adaptation strategies. Her work emphasizes interdisciplinary collaboration between basic and applied research. Key research areas include: Information visualization for complex data analysis Volunteered geographic information (VGI) integration for disaster management Interactive digital environment design Human factors in air traffic control decision-making Her recent publications (2023-2025) highlight advancements in: Real-time decision support interfaces Impact-based weather warning systems AI applications for urban climate adaptation Dr. Vrotsou's research contributes to both technical innovations (e.g., novel visualization tools) and societal challenges (e.g., climate resilience strategies).