جستجوی استاد راهنمای دانشگاهی

Artur Podobas is an Associate Professor at the Division of Software and Computer Systems (SCS) within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. He specializes in computer hardware engineering and embedded systems, with active involvement in research projects such as the Lego-inspired design framework for Edge AI systems. His teaching roles include course responsibilities for undergraduate and graduate courses in computer engineering, systems architecture, and embedded systems. Research Interests: His work focuses on portable and predictable performance in heterogeneous embedded systems, as evidenced by projects like PaPP (Portable and Predictable Performance) and ENCORE (ENabling technologies for a programmable many-CORE). These initiatives aim to improve scalability and efficiency in embedded manycore architectures. Advising & Grants: While specific student advisees are not listed, he oversees multiple degree projects in computer science, electrical engineering, and information technology at both undergraduate and graduate levels. His current project (2024–2026) on Edge AI systems highlights collaborative research efforts in accessible automated design frameworks. Labs/Teams: His research is tied to the PaPP and ENCORE initiatives, which likely involve interdisciplinary teams focused on embedded systems optimization and hardware/software co-design methodologies.

• Computer Architecture
• Embedded Systems
• Edge Computing
• +۳ مورد دیگر

Pontus Giselsson is a Senior Lecturer and Director of Third Cycle Studies at Lund University's Department of Automatic Control (Faculty of Engineering). He also serves as a Senior Lecturer at ELLIIT (Linköping-Lund initiative on IT and mobile communication) and is a Profile Area Member in LTH's AI and Digitalization initiative. His research focuses on optimization algorithms for large-scale problems, particularly operator splitting methods and automated algorithm analysis. He leads projects funded by the Swedish Research Council and collaborates on initiatives like ICARUS for wireless communication systems. His research interests include convex/nonconvex optimization, algorithm convergence analysis, and applications in machine learning, control systems, and statistical estimation. He develops frameworks for unifying operator splitting methods and tools for performance estimation of optimization algorithms. Notable projects include Model Predictive Control Stability Analysis and Bregman Optimization Algorithms. Recent publications emphasize Lyapunov analysis, monotone inclusions, and frugal splitting operators. He has organized conferences such as the LCCC Focus Period on Large-Scale and Distributed Optimization. His work bridges theoretical advancements with practical applications in engineering and computational mathematics.

• Optimization
• Machine Learning
• Control Engineering
• +۳ مورد دیگر

Patrick Doherty is a Professor and Head of the Artificial Intelligence Laboratory (AILAB) at Linköping University's Department of Computer and Information Science (IDA). His research focuses on knowledge representation, automated planning, and intelligent autonomous systems, with applications in UAV-based emergency rescue and disaster informatics. He leads the AIICS division, emphasizing collaborative robotics and multi-agent systems. He holds a EURAI (ECCAI) fellowship and serves as Editor-in-Chief of the Artificial Intelligence Journal. His work includes developing UAV systems for alpine rescue, real-time mission planning frameworks, and robust robotic collaboration protocols. Notable contributions include the SHERPA project and the RGS RDF graph synchronization system. Doherty's research also addresses human-robot collaboration, safety-critical decision-making, and resilient autonomous systems within the Wallenberg AI, Autonomous Systems and Software Program (WASP). His research group has won international competitions in UAV and automated planning domains, demonstrating advanced UAV deployment in emergency scenarios. Key areas include geolocated object detection, distributed situation awareness, and efficient wireless mesh network configurations for disaster response. Doherty frequently delivers keynote speeches at conferences such as IJCAI, KR, and ECAI, emphasizing practical applications of AI in safety-critical systems. Key Projects: SHERPA (human-robot collaboration in alpine rescue), WASP public safety arena, UAV navigation systems Awards/Fellowships: EURAI Fellow, Editor-in-Chief of Artificial Intelligence Journal Labs/Teams: AILAB, Unmanned Aircraft Systems Technology Laboratory (UASTECH) Publications span foundational AI theory (e.g., forgetting policies, rough set reasoning) to applied robotics (e.g., UAV navigation, real-time search algorithms). His work bridges high-level mission planning with low-level control, ensuring robustness and autonomy in dynamic environments.

• Artificial Intelligence
• Autonomous Systems
• Knowledge Representation
• +۶ مورد دیگر

Peter Jonsson is a Professor of Computer Science and Head of Unit at Linköping University's Department of Computer and Information Science (IDA), within the Artificial Intelligence and Integrated Computer Systems (AIICS) division. He holds a PhD in Computer Science from Linköping University (1996) and has been a Professor since 2004. His research focuses on computational complexity, constraint satisfaction problems (CSP), algorithms, and planning. He has advised over 15 PhD students and supervised multiple postdoctoral researchers, contributing significantly to theoretical computer science. His work bridges algorithm design and complexity analysis, with applications in AI and planning systems. Current research interests include parameterized complexity, infinite-domain CSPs, and structural restrictions in planning. Education: PhD (1996), MSc (1993), all from Linköping University. Key publications span CSP theory, planning algorithms, and complexity classification. His advising includes notable students like Biman Roy and Victor Lagerkvist. He has collaborated on projects funded through Swedish research programs and international grants. Labs/teams: Active in the AIICS division, focusing on foundational AI and algorithmic research.

• Computer Science
• Artificial Intelligence
• Constraint Satisfaction Problems
• +۳ مورد دیگر

Mikael Nilsson is a PhD student at Linköping University's Department of Computer and Information Science (IDA), within the Artificial Intelligence and Integrated Computer Systems (AIICS) division. His research focuses on temporal reasoning under uncertainty, planning algorithms, and dynamic controllability verification. He has contributed to advancements in temporal networks and their applications in autonomous systems. Education: Currently pursuing a PhD in Computer Science at Linköping University. Research Interests: Mikael's work centers on developing robust methods for planning under temporal uncertainty, with applications in robotics and autonomous systems. His research bridges theoretical foundations (e.g., computational complexity of dynamic controllability) and practical implementations (e.g., mission systems for combat search and rescue). Publications: His work spans topics like incremental algorithms for dynamic controllability, complexity analysis of planning systems, and AI-enabled mission systems. Recent contributions include studies on uncertainty management in temporal networks. Labs/Teams: Affiliated with the AIICS division, focusing on interdisciplinary research in artificial intelligence and computer systems.

• Artificial Intelligence
• Temporal Reasoning
• Planning Algorithms
• +۳ مورد دیگر

Anton Björnqvist is a Researcher at the Department of Computer and Information Science (IDA), Linköping University, affiliated with the Human-Centered Systems (HCS) group. His work focuses on crisis management, medical command systems, and decision-making processes in healthcare during emergencies. He collaborates internationally, including a Bosnian-Swedish project to improve pandemic response strategies. His research integrates human-computer interaction principles to enhance teamwork and policy evaluation in crisis scenarios. Research interests include disaster risk reduction, healthcare systems optimization, and pandemic response mechanisms. His recent work analyzes medical command teams during the Covid-19 pandemic, emphasizing decision-making frameworks and cross-cultural collaboration. He also explores tools to support instructors in designing effective crisis simulation exercises. Publications highlight interdisciplinary approaches to crisis management, combining technical systems analysis with human factors. His contributions span journals like the International Journal of Disaster Risk Reduction and conferences such as ISCRAM, focusing on practical applications for improving emergency preparedness and response.

• Human-Computer Interaction
• Disaster Risk Management
• Healthcare Systems
• +۳ مورد دیگر

Ola Leifler is an Associate Professor at the Department of Computer and Information Science (IDA) at Linköping University. His research focuses on leveraging large-scale social simulations (megagames) to facilitate dialogue around complex societal challenges such as energy transition and sustainable development. He is affiliated with the Human-Centered Systems (HCS) research group and contributes to the Software and Systems (SAS) division. His work bridges computer science, education, and sustainability, emphasizing interdisciplinary collaboration. Leifler teaches courses like Megagame Design for Sustainable Development (ETE367/TDDE50), integrating sustainability into computing education. He leads projects like Switching the Current , funded by the Swedish Energy Agency (SEK 9 million), which develops megagames to explore energy system transformation. His research also includes analyzing citizen perspectives on climate adaptation through megagame participation. Leifler’s contributions extend to improving software engineering practices, including test prioritization and CI/CD pipeline optimization. He is part of Linköping University’s Didacticum pedagogical excellence center, advancing innovative teaching methods. His work has been published in venues like ACM Transactions on Computing Education and IEEE conferences, addressing topics ranging from systems thinking in game design to sustainable computing education frameworks.

• Megagames
• Sustainability
• Social Simulations
• +۳ مورد دیگر

Daniel de Leng is an Assistant Professor at Linköping University (Sweden), affiliated with the Department of Computer and Information Science (IDA) and the Human-Centered Systems (HCS) division. He is part of the Semantic Web group and focuses on applied human-centered AI, particularly in autonomous systems and explainable AI. His work integrates symbolic and subsymbolic methods to address challenges in real-world AI deployment. Education: PhD (2019) and Licentiate (2017) in Computer Science from Linköping University, and MSc/BSc (2013/2011) from Utrecht University (Netherlands). Research Interests: Stream reasoning under uncertainty, autonomous system safety, and semantic integration in robotics. He developed the DyKnow-ROS framework for robot stream reasoning and contributed to the Stellar AIOps environment for AI research. His work emphasizes human-understandable explanations for AI decisions. Awards: Recipient of the SAIS Master's Thesis Award. Advising & Grants: Managed the AI Academy initiative, part of the AIOps ELLIIT Infrastructure and AI Academy management teams. Previously served as Saab Aeronautics' first Point of Contact for AI (until 2022). Labs & Teams: Active in the Reasoning and Learning Lab (ReaL), Semantic Web group, and Human-Centered Systems division. Collaborates on projects like Urdarbrunnen (AI for combat search and rescue) and multi-agent robotics systems.

• Applied Human-Centered AI
• Explainable AI
• Autonomous Systems
• +۵ مورد دیگر

Huanyu Li is an Assistant Professor at the Department of Computer and Information Science (IDA) of Linköping University, Sweden, within the Human-Centered Systems (HCS) division. His research focuses on Semantic Web and Ontologies, particularly ontology engineering, ontology-driven data integration, and applications in materials design and circular economy domains. Education : PhD in Computer Science, Linköping University (2022) MEng in Software Engineering, Harbin Institute of Technology (2016) BEng in Software Engineering, Harbin Institute of Technology (2014) Research Interests : Ontology engineering and alignment methodologies Domain-specific ontology development (materials science, semiconductor technologies) Interoperability frameworks for heterogeneous data sources Circular economy applications through ontology networks Service Roles : Co-chair of VOILA!, OM, and SeMatS workshops Program committee member for ESWC, ISWC, and other conferences Management committee member of EU COST Action EuMINe Reviewer for journals like Nature Scientific Data and Advanced Engineering Materials Awards : Recipient of the Lawson Stipendium (2022) for contributions to ontology matching and materials science communities Collaborations : Swedish e-Science Research Centre (SeRC) - DCMD group OPTIMADE discussion group on ontologies

• Semantic Web
• Ontology Engineering
• Data Integration
• +۴ مورد دیگر

Szilvia Varro-Gyapay is a Lecturer at the Department of Computer and Information Science (IDA) at Linköping University, affiliated with the Human-Centered Systems (HCS) research group. Her work focuses on computer science education and human-centered systems design. She is based at Campus Valla in E-huset, Room 329:164. Her research interests span Petri nets, graph transformation systems, optimization in IT systems, and model transformation techniques. She has contributed to formal methods in informatics and the application of systems engineering principles to critical infrastructure and production systems. Her publications reflect a strong emphasis on optimization algorithms, trajectory analysis, and verification methodologies. Key themes include the integration of Petri nets with graph transformation for system modeling and the development of formal methods for software and IT system validation. She has not been explicitly linked to scientific awards in the provided materials. No advising or grant details were specified, though her role in the HCS group suggests involvement in educational and collaborative research initiatives.

• Computer Science Education
• Human-Centered Systems
• Petri Nets
• +۳ مورد دیگر

Kajsa Weibull is a researcher at the Department of Computer and Information Science at Linköping University , affiliated with the Human-Centered Systems division. Her work focuses on driver behavior , emergency vehicle interactions , and intelligent transport systems . Her research emphasizes traffic psychology and human-computer interaction in road safety contexts, particularly through studies on driver gaze behavior, geofencing, and warning system design. Recent publications highlight cooperative ITS, emergency vehicle visibility, and lighting effects on traffic dynamics. Key trends in her work include collision avoidance , cognitive load analysis , and driver alert optimization , aligning with broader themes in transportation safety and human factors.

• Traffic Psychology
• Human-Computer Interaction
• Cognitive Science
• +۱ مورد دیگر

Johan Ölvander is a Professor and Dean at Linköping University, affiliated with the Department of Management and Engineering (IEI) within the Faculty of Science and Engineering. His research focuses on product design and development, particularly leveraging simulation and optimization techniques for complex engineering systems such as aerospace, automotive, and robotics. He leads the Product Realisation (PROD) research group and holds roles including Deputy Head of the Department of Management and Engineering. Education: 2011: Professor in Engineering Design, Linköping University 2009: Professor in Machine Design, Linköping University 2005: Docent (Associate Professor) in Machine Design, Linköping University 2001: PhD in Multiobjective Optimization in Engineering Design 1999-2000: Visiting Scholar at MIT's CADlab 1997: M.Sc. in Mechanical Engineering, Linköping University Research Interests: Dr. Ölvander’s work emphasizes real-world applications of simulation models for innovative product development. Key areas include design automation for additive manufacturing, multidisciplinary optimization of systems like aircraft and industrial robots, and strategic product portfolio management. His research integrates computational methods with industry needs, addressing challenges in fluid power systems, robotics finger design, and aerospace systems. Publications: His recent work spans design automation frameworks for additive manufacturing, curriculum impacts on engineering education, and optimization strategies for complex systems. Articles often bridge theory and application, such as using OpenMDAO for UAV design or evaluating system-of-systems capabilities. Awards: Ingeströmska Scholarship (1999) TekIT Prize (2005) Multiple Dean’s Appreciation Awards (2004–2011) Best Paper Award (2002) Teaching & Leadership: He coordinates international Master's programs in Mechanical Engineering and directs studies for Product Development specializations. His administrative roles include overseeing the Mechanical Engineering curriculum committee and contributing to national initiatives like the Result Center™ (SSF). Labs & Teams: Active in the Unit of Machine Design and Industrial Production (PRODKOP) and collaborates with industry partners on automation and simulation-driven design projects.

• Product Design and Development
• Simulation and Optimization Techniques
• Multidisciplinary Engineering Systems
• +۴ مورد دیگر

Alexander Edström is a Researcher at KTH Royal Institute of Technology within the Department of Light and Materials Physics. His research focuses on materials theory, first principles calculations, and phenomena such as flexomagnetism. He holds a PhD in Materials Theory from Uppsala University (2016), followed by postdoctoral work at ETH Zürich (2016–2019) studying multiferroic materials. Currently, his research explores curvature-induced magnetic effects in 2D materials and magnetoelectric cross-caloric effects. Education: PhD in Materials Theory, Uppsala University (2016) Postdoctoral Researcher, ETH Zürich (2016–2019) KTH International Postdoc (2019–present) Research interests span computational modeling of magnetic materials, data-driven science, and applications in energy-efficient technologies. His work on flexomagnetism in CrI3 demonstrates how curvature alters magnetic states, while his studies on SrMnO3 revealed giant magnetoelectric caloric effects. He collaborates with experimentalists to design novel permanent magnets for green energy applications. He participates in the SeRC’s Method Development for Materials Design (MD2) project and the WISE/WASP joint program. His research bridges theoretical physics and advanced imaging techniques, including TEM simulations and quantum mechanical scattering analysis. Labs/Teams: Active in KTH’s Light and Materials Physics group and contributes to interdisciplinary projects at SeRC and ICMAB-CSIC (Barcelona).

• Materials Theory
• First Principles Calculations
• Flexomagnetism
• +۶ مورد دیگر

Professor Johan Åkerman is a faculty member at KTH Royal Institute of Technology's School of Engineering Sciences (SCI), leading the Physics of Light and Matter department. His research group focuses on experimental spintronics and applied magnonics, with groundbreaking contributions to spin torque oscillators, magnetic droplet solitons, and neuromorphic computing. Their work is published in top-tier journals like Nature Communications and Science , and they actively commercialize innovations through NanOsc AB. Research interests include spintronics devices, nanomagnetism, and magnonic systems, with emphasis on applications in high-frequency oscillators and neuromorphic hardware. The group employs advanced experimental techniques such as magnetic force microscopy and time-resolved imaging. Recent studies explore magnetic droplet nucleation, spin wave dynamics, and synchronization in nanocontact-based systems. Publications highlight advancements in spin Hall nano-oscillators, memristive neuromorphic systems, and ultrafast spin dynamics. Collaborations span academia and industry, with a global presence at both KTH and Tohoku University. The group advises students and doctoral candidates, fostering interdisciplinary innovation in applied physics and materials science.

• Spintronics
• Magnonics
• Nanomagnetism
• +۳ مورد دیگر

Annika Borgenstam is a Professor and Vice-Chancellor at the Royal Institute of Technology (KTH). She holds leadership roles in academic governance while maintaining a research focus on advanced materials science and metallurgy. Her work emphasizes microstructural analysis, phase transformations in steels and cemented carbides, and computational modeling of material behavior under extreme conditions. Education details are not explicitly provided in the text, but her academic trajectory aligns with senior roles in materials science research. Her research interests span metallic materials, including high-strength steels, cemented carbides, and refractory metals. She explores topics like fatigue performance, retained austenite stability, and microstructural evolution under thermal and mechanical stresses. Key research trends include: Microstructure-property relationships in advanced materials Phase transformation kinetics in Fe-based alloys Computational modeling of material behavior Optimization of binder systems in cemented carbides She has contributed to over 40 publications since 2013, including studies on fatigue crack resistance, wear properties, and thermal stability of materials. Her work is published in journals like International Journal of Refractory Metals and Hard Materials and Computational Materials Science . No scientific awards are explicitly mentioned. She supervises degree projects in materials and process design at KTH, as listed in her course roles. Her research involves collaborations on material design for industrial applications like rock drilling inserts and high-pressure gas quenching processes.

• Materials Science
• Metallurgy
• Mechanical Engineering
• +۷ مورد دیگر