جست‌وجوی استاد و پژوهشگر

Zhonghai Luمشاهده پروفایل

استاد

• Computer Architecture
• Embedded Systems
• Network-on-Chip (NoC)
• +۷ مورد دیگر

Zhonghai Lu is a Professor of Electronic Systems Design (specializing in Dependable and Autonomous Systems) at KTH Royal Institute of Technology, part of the Department of Electrical Engineering in the School of Electrical Engineering and Computer Science (EECS). He serves as Program Director for KTH's Embedded Systems master's program and Director of Studies at the Division of Electronics and Embedded Systems. His research focuses on Network-on-Chip (NoC), computer architecture, embedded systems, and Prognostics and Health Management (PHM) of power electronics. He leads a research group exploring in-network processing and embedded intelligence, transforming passive networks into active computational frameworks. Lu holds a BSc from Beijing Normal University (1989), MSc and PhD from KTH (2002, 2007), and an MBA in Innovation and Growth from the University of Turku (2012). He has authored over 240 scientific papers, including journal articles and peer-reviewed conferences, with notable recognitions such as Best Paper Awards at NOCS’2015 and EU HiPEAC, and a Featured Paper in IEEE Transactions on Computers (2020). He serves as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) and has chaired major conferences like HiPEAC’2017 and NOCS’2018. His research group’s recent work includes integrating AI into hardware acceleration, fault-tolerant neural networks, and RUL estimation for power electronics using recurrent neural networks. Lu has secured grants from the Swedish Research Council and Intel Corporation and developed courses like IL2230 (Hardware Architectures for Deep Learning) and IL2233 (Embedded Intelligence), pioneering embedded AI education at KTH. Education: BSc (Beijing Normal University), MSc/PhD (KTH), MBA (University of Turku) Awards: Best Paper Awards (NOCS, EU HiPEAC), Swedish Research Council Grants, Intel Research Gifts Labs/Teams: Research Group on In-Network Processing and Embedded Intelligence

• Distributed Systems
• Machine Learning
• Big Data
• +۳ مورد دیگر

Jim Dowling is a distributed systems researcher at KTH Royal Institute of Technology, focusing on large-scale distributed systems, machine learning, and big data. His work emphasizes improving system dependability, performance, security, and scalability through middleware, peer-to-peer systems, and cloud-native solutions. He leads courses such as Advanced Course in Large Scale Machine Learning and Deep Learning and Scalable Machine Learning and Deep Learning , demonstrating his commitment to education in AI and distributed computing. His research spans topics like feature stores, Kubernetes integration, and AI-driven environmental analytics (e.g., ANIARA project for edge infrastructure automation and ExtremeEarth for Copernicus data analysis). He has contributed to scalable ML pipelines, cloud storage systems (HopsFS-S3), and hyperparameter optimization tools like Maggy. Key projects include the Hopsworks platform for machine learning operations and the development of cloud-native tools for big data analytics. His work bridges theoretical distributed systems research with practical applications in AI, healthcare, and environmental science. He has advised on numerous collaborative initiatives but no formal students are listed. His grants and lab activities are centered around Hopsworks and the ANIARA project, reflecting his focus on scalable, self-managing systems.

• Robotics
• Human-Robot Interaction
• Machine Learning
• +۷ مورد دیگر

Christian Smith is an Associate Professor and Lecturer at the Department of Robotics, Perception and Learning at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology). His research focuses on robotics and applications in human-centered environments like home environments, small workshops, and healthcare facilities, including the development of new robotic systems for research. Teaching Roles: Course Coordinator/Teacher/Examiner for courses such as Introduction to Robotics (DD2410), Research Project in Robotics (DD2411), and Java Programming for Python Programmers (DD1380) Research Themes: Human-Robot Interaction, Behavior Trees, Exoskeletons, Intent Recognition, and Multimodal Perception Awards: No specific scientific awards mentioned in the provided text His KTH profile highlights work on adaptive robotics systems and formalized control strategies. The research portfolio spans from theoretical studies on behavior tree programming to applied work in assistive technologies and teleoperation systems.

Mikael Wibergمشاهده پروفایل

استاد

• Human–Computer Interaction
• Interaction Design
• Materiality of Interaction
• +۵ مورد دیگر

Mikael Wiberg is full Professor of Informatics at Umeå University, Sweden, where he leads research groups in Design Informatics and Digital Interaction & Design. He is co Editor-in-Chief of ACM Interactions and has held chaired and guest professorships at Uppsala, Södertörn and Chalmers universities. His work sits at the intersection of human-computer interaction, materiality, architecture and emerging technologies. Education: PhD in Informatics, Umeå University, 2001 Docent (Associate Professor) in Informatics, Umeå University, 2004 Research interests revolve around interactivity, mobility, materiality and architecture . Wiberg coined the notion of “materiality of interaction” to study how digital resources merge with physical materials, spaces and artefacts. Recent strands include more-than-human design, human-building interaction, autonomous systems UX, and social justice in HCI, all interrogating how interactive technologies shape—and are shaped by—human and non-human actors. Across more than two decades he has published in top venues such as ACM TOCHI, Design Issues, Int. Journal of Design, Human-Computer Interaction journal and the magazine ACM Interactions . His 2018 MIT Press monograph The Materiality of Interaction consolidates his theoretical stance and has become a touchstone for architectural and material HCI discourse. Editorial & scientific awards: Co Editor-in-Chief, ACM Interactions (2019-) Member, Royal Skyttean Society (Kungliga Skytteanska Samfundet) Board member, Professors’ Association, Umeå University He currently leads interdisciplinary projects on digital heritage archives, autonomous vehicle experiences for children with intellectual disabilities, and sustainable interaction infrastructures. Although the provided text does not enumerate specific grants or doctoral students, his continuous project leadership and editorial roles evidence sustained funding and supervisory activity. Wiberg directs the Design Informatics research environment and is a core member of Umeå’s Internet of Things group, fostering collaboration between informatics, architecture, design and social sciences. His overarching agenda asks how interactive technologies can support just, sustainable and aesthetically rich futures at architectural and urban scale.

Edith C. H. Ngaiمشاهده پروفایل

دانشیار

• Internet-of-Things
• mobile crowdsensing
• network security
• +۱۲ مورد دیگر

Edith C. H. Ngai is an Associate Professor in the Department of Information Technology at Uppsala University, Sweden. She leads the Smart City Arena initiative and serves as project leader for the national GreenIoT project on energy-efficient IoT for sustainable city development funded by Vinnova. Her academic career spans multiple prestigious institutions including Chinese University of Hong Kong, Imperial College London, Simon Fraser University, UCLA, and Tsinghua University. Dr. Ngai's research focuses on Internet-of-Things, mobile crowdsensing, network security and privacy, cloud computing, and data analytics, with particular applications in smart cities and healthcare. Her work bridges theoretical foundations with practical implementations for sustainable development. She has pioneered research in energy-efficient IoT systems, data privacy in participatory sensing, and mobile health monitoring applications. Her recent publications demonstrate strong trends in IoT for smart cities, privacy-preserving techniques in social sensing, and energy-efficient data collection systems. The research spans both theoretical contributions and practical implementations, with applications ranging from urban environmental monitoring to healthcare solutions. Her work consistently addresses the tension between functionality and privacy in connected systems. Professional recognition includes: ACM Senior Member (2016) IEEE Senior Member (2015) ACM/IEEE IPSN Best Paper Runner-Up (2013) IEEE IWQoS Best Paper Runner-Up (2010) VINNMER Fellow from Swedish government agency (2009) Dr. Ngai actively mentors PhD and Master's students, with numerous graduates working at leading technology companies including Google. She serves as Associate Editor for IEEE Access, IEEE Transactions on Industrial Informatics, and IEEE Internet-of-Things Journal. Her current research projects include EU SimpliCITY, EU CRUNCH, and the GreenIoT platform for sustainable development, with funding from European Commission, Swedish Research Council, and Vinnova. She leads the Uppsala Urban Computing Lab, which focuses on IoT and mobile crowdsensing for smart cities, network security and data privacy, and smart sensing for healthcare applications. The lab develops integrated decision support tools for smart cities and citizen engagement platforms.

Jonas Stålhandمشاهده پروفایل

استاد

• Biomechanics
• Medical Engineering
• Materials Science
• +۳ مورد دیگر

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.

• Radio Frequency Identification (RFID)
• Antenna Design
• Flexible Electronics
• +۳ مورد دیگر

Johan Sidén is a Lecturer and Associate Professor at Mid Sweden University , employed in the Department of Computer and Electrical Engineering (DET) . His work focuses on RFID technology , antenna design , and printed/flexible electronics , with a particular emphasis on industrial IoT and welfare technology applications. Research Keywords : Radio Frequency Identification, Antenna Design, Flexible Electronics, Wireless Sensor Networks, Microwave Engineering, Electronic Design Key Projects : DRIVEN (data-driven industrial transformation), SmartArea (functional surfaces), Pressure (ulcer monitoring), MakeSense! (welfare technology) Publications : 15+ recent works on wearable antennas, smart packaging, UWB antenna design, and RFID sensor integration Collaborations include partnerships with industrial and academic institutions, focusing on sustainable electronics, sensor systems, and smart infrastructure. His technical expertise spans antenna optimization , printed circuits , and edge computing for harsh environments.

Lars Hallnäsمشاهده پروفایل

دانشیار

• Mathematical Logic
• Proof Theory
• Interaction Design
• +۴ مورد دیگر

Lars Hallnäs is an Associate Professor in Logic at Stockholm University and affiliated with the Department of Design, Academy of Textiles, Technology and Economics at the University of Borås. He holds a doctorate in theoretical philosophy with a thesis in mathematical logic and has been an active composer since 1970. Doctorate in Theoretical Philosophy (Mathematical Logic) Education at Malmö Academy of Music, Royal Academy of Music in Stockholm, and Instituut voor Sonologie, Utrecht University His research spans mathematical logic (proof theory, normalization) and design disciplines (interaction design, smart textiles, artistic research). He explores intersections of technology, philosophy, and textile aesthetics, including concepts like slow technology and expressive design. Key trends in his publications include proof-theoretic foundations (1980s-2020s), artistic research methodologies (2010s), and textile-technology integration (2000s-2020s). Notable contributions address definitional reflection, wearable interactions, and sustainability theology. He served as Chair of the Swedish Research Council's Committee for Artistic Research (2016-2018) and coordinated the EU-funded ArcInTexETN network under the Marie Skłodowska-Curie programs. He supervises doctoral students in design research, though specific names are not provided.

• Artificial Intelligence
• Machine Learning
• Healthcare
• +۳ مورد دیگر

Sayna Rotbei is a postdoctoral researcher at the Karolinska Institutet , affiliated with the Department of Medical Epidemiology and Biostatistics and part of the Predictive Medicine – Mattias Rantalainen's Research Group . She holds a PhD in Information Technology and Electrical Engineering from the University of Naples Federico II (2024) and focuses on applying artificial intelligence to healthcare challenges. Education : PhD in Information Technology and Electrical Engineering, University of Naples Federico II (2024). Her research interests center on artificial intelligence and machine learning applications in healthcare, including clinical decision support systems , outcome prediction , and interdisciplinary data-driven solutions . She combines medical data , computational models , and public health perspectives to address real-world clinical challenges. Recent publications highlight her work on diabetes (2024), robot cybersecurity (2023), lockdown-induced psychiatric symptoms (2022), prostate surgery outcomes (2023, 2024), and early autism detection (2020, 2021). These studies span systematic reviews , predictive modeling , and smart diagnostic architectures . In teaching , she has supported undergraduate and postgraduate courses in information technology and data processing, and guided master’s students on research design and implementation.

Christian Rohnerمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Backscatter Communication
• Network Security
• +۵ مورد دیگر

Christian Rohner is a Professor at the Department of Information Technology at Uppsala University, specializing in the Division of Computer Systems. His research spans over two decades with a clear evolution from early work in opportunistic networking to current cutting-edge research in backscatter communication and physical-layer security. Professor Rohner's research interests focus on wireless communication systems , particularly backscatter communication , sensor networks , and network security . His work on analog backscatter tags has pioneered techniques for channel estimation, reliable flooding protocols, and identification systems for battery-free devices. In wireless security , he has made significant contributions to radiometric fingerprinting, physical-layer authentication, and intrusion detection for IoT systems. His research in information theory applies theoretical frameworks to practical network analysis problems, including modularity computation in probabilistic networks and information decomposition. His recent publications (2020-2025) demonstrate a strong focus on enabling low-power wireless systems, with applications ranging from medical contexts (fat intra-body communication) to temperature sensing with RFID tags. The research shows a clear trajectory toward practical implementations of battery-free sensor networks that can operate without traditional power sources while maintaining security and reliability. Professor Rohner has maintained long-term collaborations, particularly with Thiemo Voigt at Uppsala University, resulting in numerous joint publications across multiple research domains. His work bridges theoretical foundations with practical implementations, making significant contributions to both academic research and potential real-world applications in wireless networking.

• Electromobility
• Peer-to-peer energy sharing
• Urban energy systems
• +۱۰ مورد دیگر

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.

• Physical Chemistry
• Materials Science
• Organic Semiconductors
• +۵ مورد دیگر

Christian Müller is a Professor at Chalmers University of Technology since 2017, following roles as Assistant and Associate Professor there from 2012. He holds a Dr.Sc. in Materials Science from ETH Zurich (2008) and degrees from Cambridge University. His research focuses on physical chemistry of organic semiconductors, polymer blends, and composites, with applications in wearable electronics and energy technologies like organic solar cells and thermoelectrics. He leads a group developing novel materials for high-voltage insulation, plasmonic sensors, and sustainable energy solutions. Notable achievements include ERC Consolidator (2022) and Starting Grants (2014), SSF Future Research Leader (2016), and Wallenberg Scholar status (2021). Müller has authored over 180 papers and 3 book chapters, with 20+ patents. His work bridges fundamental material science and applied technologies, emphasizing conductivity, thermal stability, and functionalization. Recent articles highlight advances in organic solar cell stability, thermoelectric textiles, and high-voltage insulation materials. His research integrates computational methods (e.g., Bayesian modeling for glass formation) with experimental techniques (e.g., nanoindentation for elastic modulus analysis). Awards: ERC Grants, Wallenberg Scholar, SSF Leadership Patents: Over 20 inventions in polymer composites and energy materials Grants: Focus on sustainable energy systems and material innovation Labs/Teams: Active in Chalmers’ materials science groups, collaborating globally on organic electronics and thermoelectric textiles.

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.

Theresia Arbring Sjöströmمشاهده پروفایل

استادیار

• Drug Delivery Systems
• Biomedical Engineering
• Organic Bioelectronics
• +۳ مورد دیگر

Theresia Arbring Sjöström is an Assistant Professor at Linköping University, affiliated with the Department of Science and Technology (ITN) and the Laboratory of Organic Electronics (LOE). Her research focuses on overcoming biological barriers through multidisciplinary approaches, including electrophoretic drug delivery systems (iontronics), precision medicine, and organic bioelectronics. She integrates material science, computational modeling, and device engineering to develop innovative solutions for drug delivery challenges in neurological diseases and cancer treatment. Key research interests include programmable implantable drug systems, miniaturized chemical interfaces, and translating scientific breakthroughs into clinical applications. Collaborations span academia and industry, emphasizing preclinical validation and practical solutions. Recent work highlights include iontronic pumps for brain tumor chemotherapy and micropipettes for neuronal modulation. Her contributions to organic bioelectronics have advanced neurotransmitter release systems operating at synaptic speeds. Future efforts aim to further bridge device physics with biophysics, fostering precision medicine through dynamic implants.

Seraina Dualمشاهده پروفایل

استادیار

• Biomedical Signal Processing
• Cardiovascular Disease Research
• Implantable Sensor Systems
• +۵ مورد دیگر

Dr. Seraina Dual serves as an Assistant Professor (tenure track) in Biomedical Signal Processing at KTH Royal Institute of Technology's Department of Biomedical Engineering and Health Systems within the School of Engineering Sciences in Chemistry, Biotechnology and Health. She leads the Intelligent Heart Technology Lab (I-HeaL), focusing on cardiovascular disease prediction, prevention, and treatment through engineering solutions. Her research spans Biomedical Signal Processing , Implantable Sensor Systems , and Soft Robotics for Cardiac Support , with particular emphasis on MRI-compatible medical devices and hemodynamic monitoring. Current projects include cardiac support technologies, physiologically-guided signal processing, and interactive wearable systems for cardiovascular health assessment. Dr. Dual's recent publications reveal strong trends in cardiovascular device innovation (particularly soft robotics and artificial muscles for circulatory support), advanced hemodynamic modeling of aortic conditions, and physiological signal analysis in daily activities. Her work bridges engineering precision with clinical cardiovascular needs through interdisciplinary collaboration. She actively mentors students across bachelor's, master's, and PhD levels, with current projects including aortic blood pressure analysis and MRI-compatible mock loops. Her research receives funding from VINNOVA, the Swedish Research Council, and Digital Futures initiatives. Dr. Dual teaches core courses including Health and Sports Instrumentation (CM2022), Medical Instrumentation (HL1203), and Medical Measurement and Monitoring (HL1016), serving as course responsible and examiner. Her lab maintains collaborations with Stanford University, ETH Zurich, and clinical institutions including German Heart Center Berlin and St. Vincent's Hospital Sydney.