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Alireza SaberkariView profile

Associate Professor

• Analog and Mixed-Signal Integrated Circuits
• Low-Power Electronics
• RF and Wireless Power Transfer
• +7 more

Alireza Saberkari is an Associate Professor and Docent at Linköping University, affiliated with the Department of Electrical Engineering and the Division of Electronics and Computer Engineering (ELDA). His work bridges analog, digital, and mixed-signal electronics with applications in biomedical systems, wireless power, and energy-efficient integrated circuits. Research Interests: His research spans low-power analog and mixed-signal IC design, energy harvesting, RF circuits, and the miniaturization of Nuclear Magnetic Resonance (NMR) systems for portable spectroscopy. He is actively involved in developing integrated solutions for wireless cell fluorescence detection and intelligent surfaces for mid-range wireless power transfer. Recent Publication Trends: His recent publications (2024–2025) emphasize circuit-level innovations in switched-capacitor amplifiers, RF-DC rectifiers, and NMR front-ends, reflecting a strong focus on energy efficiency, integration, and system co-design for portable and biomedical applications. Scientific Projects: Nuclear Magnetic Resonance (NMR) Miniaturization for Spectroscopy (VR, 2023–2026) Efficient Mid-Range Wireless Power Transfer with Intelligent Surfaces (EMPTIS, ELLIIT, 2023–2027) ENGINED - Efficient Organic Energy Module (Vinnova, Phase I, 2023–2024) Micrometer-Scale Wireless Cell Fluorescence Detection Device (SSF Med-X, 2020–2024) Advising and Grants: While no formal students are listed, his leadership in multiple externally funded projects indicates active supervision and mentorship. He has secured funding from major Swedish research agencies including VR, ELLIIT, Vinnova, and SSF, demonstrating strong grant acquisition and collaborative research capabilities. Labs and Research Teams: He is a core member of the Electronics and Computer Engineering (ELDA) division at Linköping University, contributing to a multidisciplinary team focused on advancing electronics for real-world applications in healthcare, energy, and communication systems.

Jonas StålhandView profile

Professor

• Biomechanics
• Medical Engineering
• Materials Science
• +3 more

Jonas Stålhand is a Professor at Linköping University, affiliated with the Department of Management and Engineering (IEI) and the Division of Solid Mechanics (SOLMEK). His research focuses on biomechanics, smart textiles, haptic technologies, and cardiovascular mechanics. He leads interdisciplinary projects such as a study on pain relief using smart textile garments, combining neuroscience, materials science, and biomechanics. His work spans arterial wall mechanics, wearable haptic systems, and biomaterial characterization. Recent projects include parameter identification in arteries and the development of electroactive yarn actuators for wearable applications. Collaborations involve multidisciplinary teams across engineering, medicine, and textile science. Research interests emphasize translating biomechanical insights into clinical and industrial applications. Notable contributions include studies on aortic stress analysis, acetabular cup stability, and electroactive polymer-based actuators. His publications address both fundamental and applied aspects of soft tissue mechanics and medical engineering. No scientific awards are explicitly listed, but his work has been highlighted in university news for its innovative potential in healthcare and technology.

Georgios AndrikopoulosView profile

Assistant Professor

• Robotics
• Biomedical Engineering
• Control Systems
• +4 more

Georgios Andrikopoulos is an Assistant Professor at KTH Royal Institute of Technology's Department of Industrial and Environmental Management (ITM), affiliated with the Digital Futures Faculty. He serves as Co-Principal Investigator (Co-PI) on the 'Real-time exoskeleton control for human-in-the-loop optimization' project, focusing on advanced robotics and human-technology interaction. His research spans soft robotics, exoskeleton systems, and adaptive climbing robots, with applications in healthcare, aerospace, and education. Key projects include: "Connecting Bodies – Designing Shape-changing Wearables" (Postdoc Fellowship, 2023–2025) "Advancing real-time exoskeleton control for human-in-the-loop optimization" (Demonstrator Project) SEC scholar collaboration with Mohamed Elbadawi (May–June 2024) Research interests emphasize: Soft robotic actuators for safe human interaction Optimization of compliant mechanisms in robotics Vortex adhesion systems for autonomous inspection Design of child-friendly interactive robots His work integrates robotics with control systems, biomechanics, and human-centered design. Over 50 peer-reviewed articles demonstrate contributions to exoskeleton technology, climbing robot algorithms, and soft actuator modeling. He advises students like Laia Turmo Vidal (Postdoc) and Mohamed Elbadawi (SEC scholar). Affiliated with the cross-disciplinary Digital Futures initiative, he collaborates with Stockholm University and RISE Research Institutes to address societal challenges through digital innovation.

Lina von SydowView profile

Professor

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +2 more

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.

• Environmental Criminology
• Situational Crime Prevention
• Urban Planning
• +5 more

Vania Ceccato is a Professor at the Academy of Police Work, University of Borås, specializing in environmental criminology and situational crime prevention. She leads the international Nätverket Säkraplatser network, fostering collaboration between academia and practice for sustainable safety. Her research bridges urban design, rural criminology, and transit security, with a focus on inclusive safety measures. Her recent publications include studies on transit worker safety in Stockholm’s metro resilient urban design for climate and crime prevention LGBTQI+ safety in transportation rural-urban shooting patterns innovative survey methodologies Her work aligns with United Nations SDGs 9, 11, and 13, emphasizing how environmental criminology can drive sustainable, equitable urban development.

• Product Development
• Systems Engineering Design
• Platform-based Development
• +8 more

Professor Ola Isaksson is a faculty member in Product Development at Chalmers University of Technology, where he leads the Systems Engineering Design research group. With over 40 research projects nationally and internationally, his work bridges academic research and industrial application, particularly in aviation and transport-related manufacturing sectors. His expertise spans digitalization, sustainability, and advanced manufacturing methods in product development. Ola Isaksson received his PhD in Computer Aided Machine Design from Luleå University of Technology in 1999. Prior to his academic career, he had a specialist career at GKN Aerospace Engine Systems (formerly Volvo Aero) in Trollhättan, focusing on design and product development until 2015. Professor Isaksson's research focuses on developing new product development capabilities to address societal and industrial needs through digitalization and advanced manufacturing. His primary interests include platform-based development, Set Based Engineering, multidisciplinary engineering methods, Value-driven development, and knowledge-intensive system support. He has particular expertise in additive manufacturing integration, design space exploration, and sustainability transition in product development. Analysis of Professor Isaksson's recent publications reveals a strong focus on integrating digital technologies with sustainable manufacturing practices. His work demonstrates a progression from traditional design methodologies toward AI-assisted design, digital twins, and advanced data analytics. Key thematic areas include additive manufacturing implementation, design margin management, sustainability integration, and aerospace component optimization, reflecting his commitment to bridging theoretical research with industrial applications. Professor Isaksson is one of the founders of the Swedish Product Development Academy and maintains active membership in the Design Society, ASME, and SIG PM, reflecting his significant contributions to the field of engineering design. With over 100 scientific publications and leadership in more than 40 research projects, Professor Isaksson has established himself as a leading figure in product development research. His work frequently involves close collaboration with industry partners, particularly in the aviation sector, securing substantial research funding for projects addressing digitalization, sustainability, and advanced manufacturing challenges. Professor Isaksson leads the Systems Engineering Design research group at Chalmers University of Technology. His team focuses on developing methodologies for complex product development, with particular emphasis on digital tools, sustainability integration, and manufacturing innovation. The group maintains strong industry connections, especially with aerospace manufacturers, facilitating the translation of research into practical applications.

• Anesthesiology
• Neurosciences
• Neuroinflammation
• +5 more

Lars I Eriksson is a Professor and head of the section of Anesthesiology and Intensive Care at the Department of Physiology and Pharmacology, Karolinska Institutet. His research focuses on the neuroinflammatory and cognitive consequences of surgical trauma and critical illness, with particular emphasis on mechanisms linking systemic inflammation to long-term brain dysfunction. He leads the research group "The brain after surgery and trauma - neuroinflammation, cognitive impairment and dementia" , which investigates postoperative neurocognitive decline, dementia risk, and immune-brain interactions. Key funding sources include the Swedish Research Council (VR Medicine), The Brain Foundation, and the Alzheimer Foundation. Research Interests : Neuroinflammation following surgery/trauma Cognitive decline mechanisms in postoperative patients Immune-brain communication in critical illness Pharmacological prevention of postoperative dementia Clinical translation of experimental immunology findings Recent Work Trends focus on: Immune profiling in critical care survivors (e.g., NeuroCOVID studies) Biomarker development for cognitive outcomes Extracellular vesicle roles in postoperative brain injury Grants & Collaborations**: Active projects include: VR Medicine grant exploring surgery-induced neuroinflammation ALF Region Stockholm funding for translational studies European Society for Anesthesiology support for clinical trials Labs/Teams**: Directly supervises a multidisciplinary team including research engineers (Anette Ebberyd) and senior specialists (e.g., Marta Gómez Galán, Souren Mkrtchian). Collaborates extensively across departments at Karolinska Institutet and internationally.

• Electromobility
• Peer-to-peer energy sharing
• Urban energy systems
• +10 more

Dr. Pei Huang is a Senior Lecturer in Energy Engineering at Dalarna University, Sweden, working within the Department of Information and Technology. His academic career focuses on multidisciplinary research at the intersection of energy systems, electromobility, and sustainable urban development, with significant contributions to both teaching and research in renewable energy and energy efficiency. Dr. Huang received his Ph.D. from the City University of Hong Kong in 2017. His educational background has provided a strong foundation for his current research in energy systems and sustainable technologies, bridging engineering principles with practical applications in the energy transition. Dr. Huang's research interests span several critical areas in modern energy systems. He specializes in peer-to-peer energy sharing, urban energy systems, and electromobility, with particular focus on electric vehicles as mobile power sources. His work also encompasses positive energy districts, district heating systems, building energy efficiency, and HVAC systems. A distinctive aspect of his research involves applying machine learning to address uncertainty in energy systems, creating more resilient and adaptive solutions for the energy transition. His multidisciplinary approach connects energy engineering with computer science, urban planning, and sustainability science. Analysis of Dr. Huang's recent publications reveals a strong emphasis on integrating electric vehicles into energy systems as flexible resources. His work demonstrates how vehicle-to-grid technology can enhance grid resilience and enable community energy sharing through innovative solutions like the Electric Vehicle based virtual Electricity Network (EVEN). There's also a notable focus on applying artificial intelligence to optimize energy systems, particularly in data-scarce scenarios where he combines clustering analysis and transfer learning. His research bridges the gap between theoretical models and practical implementation, with several studies based on real-world data from Sweden, demonstrating immediate relevance to current energy challenges. Dr. Huang has been highly successful in securing research funding, with approximately SEK 10 million secured for projects at Dalarna University. His current research portfolio includes: PI for a 2023-2026 Energy Agency project on enhancing grid resilience through electric vehicle-based virtual electricity networks (SEK 2.64 million) PI for a 2023-2026 FORMAS project on photovoltaic and electric vehicle utilization (3.75 million SEK, with a competitive success rate of 13.8%) Co-PI and national coordinator for a 2023-2026 CETPartnership project on thermal energy storage in district heating (2.32 million Euro) Co-PI for a 2024-2026 Swedish Energy Agency project on electric vehicles for frequency regulation (3.25 million SEK) Dr. Huang serves on the editorial board of the journal Buildings and has published extensively, with 49 journal articles, 1 book, 5 book chapters, and 19 conference papers to his name. His research has active participation in IEA tasks, demonstrating international recognition of his expertise. In addition to his primary energy research, Dr. Huang has made significant contributions to neuroscience, particularly in Parkinson's disease diagnostics and treatment, showing the breadth of his interdisciplinary approach.

• Neuroprosthetics
• Somatosensory Feedback
• Brain-Computer Interfaces
• +3 more

Giacomo Valle serves as an Assistant Professor in the Biomedical Signals and Systems department within the School of Electrical Engineering at Chalmers University of Technology in Gothenburg, Sweden. His research profile indicates strong international collaboration, particularly with institutions including the University of Chicago where he maintains research affiliations. Dr. Valle's research focuses on developing advanced neural interfaces that restore somatosensory function through intracortical microstimulation. His work bridges neuroscience, biomedical engineering, and clinical applications, with particular emphasis on creating biomimetic tactile sensations for users of brain-controlled prosthetic limbs. His innovative approaches to patterned microstimulation enable the perception of edges and motion across the skin, significantly improving manual dexterity and user experience with bionic hands. Analysis of his recent publications reveals a clear trajectory toward clinical translation of neuroprosthetic technologies, with increasing attention to ethical considerations and practical implementation challenges. His work spans fundamental neuroscience investigations through to clinical applications, demonstrating both theoretical depth and practical relevance in the field. While specific awards and honors aren't detailed in the available information, his publication record in high-impact journals like Science indicates significant recognition within the neuroscience and neuroengineering communities. His collaborative research network includes leading institutions across the United States and Europe, suggesting substantial grant funding and research leadership. Dr. Valle's work contributes to multidisciplinary research teams focused on neural engineering and rehabilitation technologies, particularly those developing next-generation brain-computer interfaces with integrated sensory feedback capabilities.

Mehdi TarkianView profile

Associate Professor

• Design Automation
• Machine Learning
• Optimization
• +5 more

Mehdi Tarkian is a Senior Associate Professor at Linköping University within the Department of Management and Engineering (IEI) , focusing on the Product Realisation division. His research and teaching emphasize Design Automation, leveraging methods like Knowledge-Based Engineering (KBE), Machine Learning, and Optimization. He co-founded the spin-off company XperDi in 2012, based on his research, and returned to LiU full-time in 2017. Current research projects include AutoPack (ML-driven CAD automation), ADAPT (design automation for production preparation), and DeProtion (construction sector design automation). He teaches courses such as Collaborative Multidisciplinary Design Optimization (TMKT79) and Product Modeling (TMKT57) , both highly rated by students. Publications highlight advancements in optical character recognition (OCR) for engineering drawings, reinforcement learning in unstructured production environments, and automated fixture design. His work bridges academic research with industrial applications, aiming to reduce repetitive tasks and enhance engineering intuition. He is part of the Automation Lab and the Unit of Machine Design and Industrial Production (PRODKOP) , collaborating with industry partners to translate research into practical solutions.

• Heterogeneous Catalysis
• Electrocatalysis
• Sustainable Reactions
• +3 more

Mathilde Luneau is an Assistant Professor in the Department of Applied Chemistry at the School of Chemistry and Chemical Engineering, Chalmers University of Technology. Her research focuses on heterogeneous catalysis and electrocatalysis for sustainable reactions, employing a multidisciplinary approach encompassing materials synthesis, testing, and advanced characterization. She aims to design efficient catalytic materials for energy and environmental applications. Education : PhD in Chemistry, University of Lyon, France. Postdoctoral Researcher at Harvard University under Prof. Cynthia Friend, investigating dilute alloy catalysts. Research Interests : Luneau’s work emphasizes sustainable reaction pathways using advanced catalytic systems. Her lab explores nanomaterials, bimetallic alloys, and electrochemical methods to enhance catalyst stability and selectivity. Key areas include fuel cell catalyst layers, oxygen-assisted coupling reactions, and additive manufacturing for flow reactors. She employs techniques like X-ray spectroscopy and machine learning to analyze catalyst structures and performance. Publications : Her recent studies highlight advancements in platinum nanoparticle synthesis, dilute PdAu catalysts, and Ti-6Al-4V anodes for electrochemical reactors. Trends reflect a focus on optimizing catalytic selectivity, stability under varying conditions, and scalable production methodologies. Labs/Teams : Luneau leads a research group at Chalmers dedicated to sustainable catalytic materials. Her team collaborates on projects like biogas processing and hydrogen production, leveraging interdisciplinary expertise in chemistry, engineering, and computational methods.

Richard PatesView profile

Senior Lecturer

• Control Theory
• Control Engineering
• Electrical Power Systems
• +9 more

Richard Pates is a Senior Lecturer and researcher in the Department of Automatic Control at the Faculty of Engineering (LTH), Lund University. He is actively involved in research and teaching, contributing to key profile areas including the Energy Transition, AI and Digitalization, and Natural and Artificial Cognition at Lund University. His work is supported by multiple ongoing research projects and collaborations within ELLIIT, the Linköping-Lund initiative on IT and mobile communication. Research Interests: Control Theory and Engineering Electrical Power Systems and Grid Control Scalable and Decentralized Control Systems Optimal Control and Mathematical Foundations Applications in District Heating and Sustainable Energy Systems His recent research, published in top-tier journals and conferences such as Automatica , IEEE Control Systems , and the IEEE Conference on Decision and Control , demonstrates a strong focus on scalable control solutions, networked system dynamics, and performance optimization in complex physical systems. There is a clear trend toward mathematically rigorous approaches with practical applications in infrastructure and energy systems. Scientific Contributions and Activities: Active in 4 major research projects, including grid integration of second-life batteries and scalable control for power and heating networks. Organizer and host of seminar series on the Energy Transition at Lund University. Contributor to the Energy Transition retreat and academic workshops. Richard Pates advises students and supervises research work, though specific names are not listed. He has received research funding through national and multidisciplinary grants, particularly in sustainable energy and control systems. He also promotes accessible education through his YouTube channel and personal website, emphasizing both teaching and research dissemination. Laboratories and Research Groups: He is affiliated with the Department of Automatic Control at LTH and contributes to the ELLIIT research environment. His work is integrated into Lund University's strategic profile areas, particularly in energy and AI, suggesting strong collaboration within interdisciplinary teams focused on sustainable technological development.

• Digital Transformation in Fashion Industry
• Sustainability and Circular Economy
• Supply Chain Management
• +3 more

Olga Chkanikova is a Researcher at the University of Borås , affiliated with the Faculty of Textiles, Engineering and Business and the Department of Business Administration and Textile Management . Her work focuses on digital transformation in the fashion industry, sustainability-oriented innovations, and supply chain dynamics, with a particular emphasis on cultural and operational shifts driven by technologies like 3D modeling and digital twinning. As a co-supervisor for doctoral students, she contributes to advancing research in these areas. Key research themes: Digital Fashion, Circular Economy, Business Model Innovation Contact: olga.chkanikova@hb.se Her recent publications analyze the intersection of technology, sustainability, and institutional frameworks in fashion and retail sectors. She has explored the scalability of fashion-tech solutions, the role of third-party certifications in supply chains, and the cultural dimensions of digital transformation.

• Aerospace Engineering
• Mechanical Engineering
• Robust Design
• +4 more

Anders Forslund is a researcher at Chalmers University of Technology, specializing in Product Development with a focus on aerospace and mechanical engineering. His work bridges theoretical research and practical application in multidisciplinary design. Department: Product Development Key Collaborations: VINNOVA, EU Horizon 2020, AIAA, ASME His research interests revolve around robust design and uncertainty modeling for aerospace structures. He develops simulation platforms to minimize geometric variation in welded components and optimize turbine lifecycle robustness. His work integrates genetic algorithms , 3D scanning , and PLM systems for multidisciplinary convergence. The 15 most recent publications span 2011–2018, covering welding optimization , geometric robustness , simulation frameworks , and sustainable aerospace design . Key trends include bridging CAD/point cloud gaps , virtual trimming , and set-based design in collaborative platforms. Anders participates in grants and projects such as: TOICA (2013–2016): EU-funded thermal-driven aircraft design. ELISE (2018–2018): Vinnova-funded electric aviation. Design av de aerodynamiska egenskaperna för ett elektriskt flygplan (2021–2022): Chalmers-led aerodynamic R&D. He has contributed to research teams in propulsion, thermal sciences, and acoustic engineering, collaborating with experts like Rikard Söderberg and Lars Davidson.

• Renewable Energy
• Fluid-Structure Interaction (FSI)
• Aeroacoustics
• +5 more

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.