جست‌وجوی استاد و پژوهشگر

Krisjanis Steinsمشاهده پروفایل

مدرس

• Healthcare Logistics
• Emergency Response Systems
• Transportation Systems
• +۳ مورد دیگر

Krisjanis Steins is a Lecturer at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems (KTS) division. His research focuses on healthcare logistics, emergency response systems, and quantitative modeling of transportation and healthcare systems. He specializes in applying discrete-event simulation to optimize emergency department accessibility, disaster response logistics, and healthcare resource planning. His work addresses challenges such as bleeding control kit placement, ICU resource allocation, and hospital operational efficiency. Key research affiliations include the Center for Advanced Research in Emergency Response (CARER). His publications span topics like resilient transport systems, crisis management, and sensor technology integration in emergency logistics. He actively collaborates with institutions on projects involving simulation-based solutions for healthcare and transport infrastructure.

• Cloud Computing
• Big Data Pipelines
• Machine Learning
• +۴ مورد دیگر

Mihhail Matskin is a Professor at the Royal Institute of Technology (KTH) within the Department of Software Logic & Computer Systems. He specializes in cloud computing, big data pipelines, machine learning, and distributed systems. His work emphasizes optimizing cloud resource allocation, developing graph-based cost models, and advancing AI-driven systems like SQL recommendation engines and relation extraction frameworks. He actively contributes to KTH's educational mission through roles as examiner and course manager in advanced computer science and engineering courses, including Distributed AI, Cloud Storage Optimization, and Big Data Workflow Design. His research spans over two decades, focusing on scalable data management solutions, edge computing applications in healthcare, and semantic analysis of social media. Notable projects include the DataCloud initiative for big data pipeline orchestration and the DEF-PIPE DSL visualization framework. Matskin’s work bridges theoretical advancements with practical implementations, addressing challenges in reproducibility of LLM-based systems, containerized edge computing, and constraint programming for robotics. His academic contributions include pioneering studies on cloud cost modeling, rule-based storage tiering, and contrastive learning for NER tasks. He has advised numerous advanced-level degree projects across computer science, embedded systems, and communication technologies. Matskin’s lab focuses on innovative solutions at the intersection of distributed systems, AI, and data engineering.

Rozalyn Simonمشاهده پروفایل

دانشیار

• Neuroimaging
• Brain-Gut-Microbiome Axis
• Cognitive Mechanisms of Fatigue
• +۴ مورد دیگر

Rozalyn Simon is an Associate Professor at Linköping University's Department of Health, Medicine and Caring Sciences and Director of the interdisciplinary Forum Scientium graduate research school. She holds a PhD in Chemistry from Linköping University (2014), an MSc from UC Santa Cruz (2007), and a BSc from the University of Georgia (2001). Her career includes postdoctoral research at the Center for Medical Image Science and Visualization (CMIV) and industry experience as Clinical Science Lead at AMRA Medical AB. Her research investigates neurobiological mechanisms in conditions like Irritable Bowel Syndrome (IBS) and chronic fatigue, with emphasis on the brain-gut-microbiome axis. She employs multimodal neuroimaging (fMRI-EEG) and mathematical modeling to study brain function during meditation, pain, and sleep. Her recent work explores gut bacteria interactions with neural navigation systems and adipose tissue effects on brain aging. Simon's publications reveal consistent themes: neuroimaging biomarker discovery, gut-brain communication pathways, and metabolic influences on cognition. Methodological contributions include standardized fMRI frameworks for meditation research and novel visualization tools for brain cohort studies. She leads the Functional Brain Imaging group at CMIV, focusing on translational applications. As Forum Scientium Director, she fosters cross-disciplinary collaboration among graduate students in medicine, engineering, and natural sciences. Her work integrates basic science with clinical insights, particularly in gastroenterology and neurodegenerative disorders.

Martin Falkمشاهده پروفایل

مدرس ارشد

• Scientific Visualization
• Molecular Visualization
• Volume Rendering
• +۴ مورد دیگر

Martin Falk is a Senior Lecturer in the Scientific Visualization Group at Linköping University's Department of Science and Technology (ITN). He holds a Ph.D. (Dr. rer. nat.) from the University of Stuttgart (2013). His research focuses on molecular visualization, large-scale volume rendering, cryoEM visualization, and systems biology, with expertise in uncertainty visualization and spatio-temporal data analysis. Falk co-organized the Eurographics and EuroVis conferences in 2020, which attracted over 2,300 participants and 100 video sessions viewed nearly 38,000 times. Research interests span medical imaging (e.g., histological analysis of vascular specimens) and plasma physics (e.g., studying plasma instabilities and boundary dynamics). He collaborates across disciplines, contributing to tools like the Topology ToolKit and Inviwo visualization frameworks. His work bridges computational methods with biomedical and physical sciences, emphasizing scalable visualization techniques for complex datasets. Key contributions include developing visual environments for protein modeling validation and advancing topological data analysis methodologies. Falk’s research is published in journals like IEEE Transactions on Visualization and Computer Graphics and New Journal of Physics, reflecting his dual expertise in visualization and applied physics.

Amy Loutfiمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Amy Loutfi is a Professor of Information Technology at Örebro University, where she leads the AI, Robotics and Cybersecurity Center (ARC), and serves as Program Director for the Wallenberg AI, Autonomous Systems and Software Program (WASP) at Linköping University. Born in Saint John, Canada (1978), she earned her PhD in Computer Science from Örebro University (2006) and became a Docent (2011) and Professor (2015) in Information Technology there. Her research focuses on intelligent sensor systems, particularly their integration with artificial intelligence to convert raw data (e.g., from robotic olfaction or vision sensors) into human-interpretable semantic information. She explores human-robot interaction dynamics, emphasizing safety, collaboration, and usability across diverse environments like homes and industries. Key projects include BioLearning (water quality analysis), MicroSens (taste perception via microbiota), and TeamRob (robot teams working with humans). Amy’s work bridges technical innovation with societal impact, addressing challenges in healthcare, elder care, and smart home technologies. She advocates for Sweden’s national AI strategy and emphasizes ethical considerations in emerging robotics. Her research also involves collaboration with industry and public sectors, as seen in the E-care@home and Mednose initiatives. In 2020, she was elected to the Royal Swedish Academy of Engineering Sciences (IVA) for her contributions. Her grants and projects include strategic funding for AI applications and interdisciplinary collaborations. She collaborates with global teams and contributes to conferences like ICSR (Social Robotics) and ECAI (Artificial Intelligence).

• Self-Adaptive Systems
• Cyber-Physical Systems
• Software Engineering
• +۴ مورد دیگر

Danny Weyns is a Professor at Linnaeus University's Department of Computer Science and Media Technology, Faculty of Technology. He leads the AdaptWise research group focusing on self-adaptive software systems and contributes to the Linnaeus University Centre for Data Intensive Sciences and Applications. His work spans cyber-physical systems, digital twins, and formal methods for system adaptation. Education: Extensive academic background in computer science, with a focus on multi-agent systems and distributed computing. Notable projects include the Aladino project on digital twins and PROSSES on secure systems. Research interests emphasize self-adaptive systems, runtime decision-making, and integrating AI with adaptive mechanisms. His publications address challenges like adaptation space reduction, uncertainty management, and industry applications of self-adaptation. Key contributions include the ActivFORMS framework for model-based adaptation and the development of methodologies like ASPLe for systematic reuse in self-adaptive systems. He collaborates internationally and chairs conferences like SASO and SEAMS.

Ove Edforsمشاهده پروفایل

استاد

• Radio Systems
• Statistical Signal Processing
• Massive MIMO
• +۵ مورد دیگر

Ove Edfors is a Professor at the Department of Electrical and Information Technology, Lund University, affiliated with the Faculty of Engineering (LTH). His primary research focuses on radio systems, statistical signal processing, and massive MIMO technologies. He is a core member of the LTH Profile Area: AI and Digitalization and the LU Profile Area: Natural and Artificial Cognition. Edfors leads the NEXTG2COM Vinnova Competence Centre and contributes to ELLIIT initiatives. His research spans multi-carrier systems, low-complexity algorithms, and wireless communication applications. Key projects include 6G radio testbed development and millimeter-wave channel characterization. He has co-authored over 225 publications and supervised 22 graduate students. Notable achievements include the IEEE Signal Processing Society Donald G. Fink Award (2023) and the IEEE Communications Society Best Tutorial Paper Award (2018). Recent work emphasizes indoor localization via multi-sensor fusion (LuViRA Dataset) and energy-efficient MIMO processors. Active collaborations involve global institutions and industry partners in 5G/6G infrastructure. Edfors' contributions align with UN SDGs for affordable and clean energy (Goal 7) through energy-efficient wireless systems and innovation (Goal 9).

Peter Bellströmمشاهده پروفایل

دانشیار

• E-service design
• Crisis Management Training
• Information Systems
• +۳ مورد دیگر

Peter Bellström is an Associate Professor at Karlstad University's Information Systems Research department. His work focuses on e-service design integration, crisis management training digitalization, and innovative programming education methods. He has collaborated extensively with researchers like Monika Magnusson, Alexander Vestin, and John Sören Pettersson on projects involving AI in healthcare, automated assessment systems, and distributed learning environments. His research bridges conceptual schema integration challenges with practical applications in crisis management and education technology. Key research areas include: E-service architecture integration Crisis training digitalization for public sectors Programming education through gamification Automated assessment systems Social media analysis for public institutions Recent publications (2020-2024) emphasize AI adoption in oncology, remote education adaptations during pandemics, and digital crisis training tools. His work combines technical solutions with user-centered design principles, particularly in public-sector contexts. Notable contributions include the CriseIT project's digital crisis training frameworks and explorations of Facebook usage in municipal governance. His teaching innovations include integrating game-based assessment methods in programming courses.

Stefan Lindskogمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +۷ مورد دیگر

Stefan Lindskog is a full Professor at the Department of Computer Science, Karlstad University, Sweden. His research focuses on tunable security services, network security protocols, intrusion detection systems, and encryption methodologies. He has held academic positions at Karlstad University since 1990 and holds a PhD in Computer Engineering from Chalmers University (2005) and a Docent degree in Computer Science from Karlstad University (2008). His work emphasizes practical cybersecurity solutions, including firewall usability, multipath TCP security, and privacy-preserving technologies. Lindskog has authored over 60 peer-reviewed publications, including studies on encrypted network traffic analysis, Tor anonymity vulnerabilities, and firewall rule optimization. He collaborates extensively with industry partners and academic networks, contributing to projects like the EU-funded NEWCOM++ initiative. Teaching: Real-Time Systems (7.5 ECTS) Key Research Themes: Security service tunability, adaptive intrusion detection, and secure communication protocols Collaborations: HITS project (High Quality Networked Services in a Mobile World) Publications span topics from malware detection in encrypted traffic to systematic reviews of firewall usability. Lindskog’s work bridges theoretical security models and operational system implementation, with a focus on real-world applicability in industries like offshore energy and mobile communications.

• Environmental Science
• Water Quality Management
• Spectroscopic Analysis
• +۳ مورد دیگر

Kathleen Murphy is a Professor in the Department of Water Environmental Technology at Chalmers University of Technology, specializing in the application of spectroscopic techniques to analyze dissolved organic matter in water systems. Her research focuses on fluorescence-based methods for distinguishing water sources, detecting quality changes, and optimizing water treatment processes. She has developed influential open-source tools like the drEEM toolbox and OpenFluor database. Her work spans natural aquatic systems (freshwater/oceanic) and technical systems (drinking water, wastewater, ballast water). Current projects include improving water treatment sensors, UV disinfection indicators, and carbon management strategies. Funding sources include Formas, VINNOVA, and industry grants. Key research themes include fluorescence spectroscopy applications, organic matter reactivity, and biofilter optimization. Her interdisciplinary approach addresses global water quality challenges, with over 37 peer-reviewed publications and 10 active research projects since 2018.

Truls Nybergمشاهده پروفایل

پژوهشگر

• Autonomous Vehicles
• Motion Planning
• Risk-aware Planning
• +۵ مورد دیگر

Truls Nyberg is an Industrial Postdoc at TRATON Group, affiliated with the Division of Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology. His research focuses on foundation models and vision-language models for decision-making and motion planning in autonomous vehicles, addressing critical challenges in occlusion handling and risk assessment. His academic background includes: PhD in Computer Science (Robotics, Perception and Learning) from KTH Royal Institute of Technology (2025), with thesis "Mind the Unknown: Risk- and occlusion-aware motion planning for autonomous vehicles" supervised by Jana Tumova and co-supervised by Patric Jensfelt MSc in Control and Information Systems from Linköping University BSc in Applied Physics and Electrical Engineering from Linköping University Nyberg's research centers on autonomous driving systems where occlusions create safety risks. He develops risk-aware motion planning algorithms using sequential reasoning about hidden objects, vehicle-to-everything (V2X) communication, and foundation models to enhance decision-making in complex traffic. His work bridges theoretical robotics with industrial applications, emphasizing real-world safety specifications and uncertainty handling in urban and highway scenarios. Analysis of his publications reveals a clear trajectory from fundamental risk-aware planning (2021) to advanced occlusion reasoning using V2X (2024). His research consistently targets safety-critical gaps in autonomous driving, with growing emphasis on cooperative perception and language-integrated vision models. Key trends include formal safety guarantees, real-time contingency planning, and leveraging hidden object predictions for proactive vehicle control. Nyberg was funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP) during his doctoral studies. While no current student advising is documented, his industry-academia role at TRATON Group demonstrates strong collaboration between KTH and automotive manufacturing. His research directly addresses industrial challenges in commercial vehicle automation. As part of KTH's Robotics, Perception and Learning division, Nyberg contributes to Sweden's leading autonomous systems research environment. His work leverages state-of-the-art robotics labs and industry partnerships to translate academic innovation into practical solutions for next-generation autonomous vehicles.

• Computer Science
• Software Engineering
• Distributed Systems
• +۲ مورد دیگر

Johan Montelius is a Lecturer in the Department of Software Engineering and Computer Systems at the Royal Institute of Technology (KTH). His contact details include phone +46 8 790 42 83 and email johanmon@kth.se. He holds responsibilities as an examiner, course coordinator, and teacher for multiple courses, primarily focused on algorithms, data structures, and degree projects across computer science, computer engineering, and information technology domains. His research interests span Computer Science , Software Engineering , and Distributed Systems , with specific expertise in Algorithms and Data Structures as evidenced by his teaching portfolio. No scientific awards or prizes are documented in the available information. Montelius supervises numerous degree projects at bachelor and master levels across computer science and engineering disciplines. Specific student names are not provided. Labs, teams, or grants are not mentioned in the source material.

Erik Elmrothمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Erik Elmroth is a Professor at the Department of Computing Science, Umeå University. He leads research in distributed systems, cloud/edge computing, and autonomous resource management, directing a 30+ member research group. His leadership includes transformative roles as department head (2009-2021) and Deputy Director at High Performance Computing Center North (HPC2N). Elmroth serves on executive committees for the SEK 6.2B Wallenberg AI program (WASP) and SEK 390M eSSENCE initiative, and leads multiple Kempe Foundation projects. Research interests center on: Autonomous control of cloud/edge infrastructures Software-defined systems and federated clouds AI-driven resource optimization High-performance computing architectures Robust machine learning for distributed environments His publications emphasize adaptive cloud systems, anomaly detection, and federated learning, with consistent focus on scalability and resilience in edge/cloud deployments. Awards and honors: Member of Royal Swedish Academy of Engineering Sciences (IVA) Nordea Scientific Prize (2011) SIAM Linear Algebra Prize (2000) National HPC Lecturer appointment He has supervised 40+ PhD students and secured major grants including the Swedish Research Council's second-largest award for the Cloud Control project. Elmroth founded the Control Workshops series and co-founded Elastisys AB, a cloud security firm with 50+ employees recognized as Umeå's Spin-off Company of the Year.

• Computer Networks
• Internet of Things (IoT)
• Network Security
• +۴ مورد دیگر

Markus Hidell is an Associate Professor at the Royal Institute of Technology (KTH) , specializing in computer networks, IoT systems, and network security. His teaching includes courses like Advanced Internet Technology and Security and Data Privacy on the Internet , where he serves as examiner or teacher. Research Focus : IoT architectures, energy-efficient networking, and security in distributed systems. Recent Publications : Investigate IoT scalability, buffer management algorithms, SDN security, and LTE vulnerabilities. Key Technical Areas : Network virtualization, delay-tolerant systems, and smart city infrastructure.

• Mobile Communication
• Quality of Service (QoS) for Internet
• Cybersecurity Education
• +۴ مورد دیگر

Gunnar Karlsson is a Professor at KTH Royal Institute of Technology, specializing in teletraffic systems and network engineering. He has served as Head of the Department of Network and Systems Engineering until 2017 and currently engages in continuous education initiatives through Cybercampus Sweden and KTH Center for Total Defence. His academic background includes a PhD from Columbia University (1989) and MSc from Chalmers University of Technology (1983), with visiting professorships at EPFL and ETH Zurich. Research Interests: Mobile communication, Internet QoS, opportunistic networks, cybersecurity, and higher education pedagogy. Public Engagement: Active contributor to debates on university roles, technology's societal impact, and automation's consequences for work. Teaching: Involved in courses including Computer Networks , Data Communications , and Security Engineering , with focus on ethics and societal implications. Awards: Recipient of the KTH Pedagogic Prize (2015) for innovative teaching approaches. Leadership: Editor for IEEE Journal on Selected Areas of Communication; advocates for engineering's role in societal progress.