Real-Time Computer Systems Professors and Supervisors in Sweden

Jingsen Chenمشاهده پروفایل

دانشیار

Luleå University of TechnologySweden

Jingsen Chen is an Associate Professor in the Department of Computer Science within the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology. His primary research focus is on Dependable Communication and Computation Systems. Professor Chen's research interests center around algorithm design and analysis, with specific expertise in: Efficient heap construction algorithms Maximum-scoring segment problems k maximum sum subsequences Optimization of computational resources Theoretical computer science foundations His publication record demonstrates consistent contributions to the field of algorithm design, particularly his influential 2012 work on heap construction that optimized comparisons, moves, and cache misses. Professor Chen's research shows a strong theoretical foundation with practical considerations for real-world computational constraints. Professor Chen maintains an active research profile with publications spanning from 2006 to recent years. His work primarily appears in computer science venues including conference proceedings and journals focused on theoretical computer science and algorithms. As a faculty member, Professor Chen contributes to the academic community through his research and likely participates in teaching and supervision activities within the Computer Science department at Luleå University of Technology.

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Farhad Abtahiمشاهده پروفایل

پژوهشگر

KTH Royal Institute of TechnologySweden

Farhad Abtahi is a Researcher at the Division of Ergonomics, KTH Royal Institute of Technology, specializing in wearable sensor systems and AI for ergonomic risk assessment and health monitoring. His work develops real-time tools using IMU sensors and smart textiles to evaluate posture and workload in occupational and clinical settings, with a joint PhD in Medical Technology and Medical Science from KTH alongside degrees in Electrical/Biomedical Engineering and Computer Engineering. His educational background includes: PhD in Medical Technology and Medical Science, KTH Royal Institute of Technology Degree in Electrical and Biomedical Engineering Degree in Computer Engineering Abtahi's research spans digital health, biomedical signal processing, and ergonomics, focusing on practical applications of wearable sensors for physiological monitoring and movement analysis. He integrates AI and smart textiles to create user-centered solutions that enhance workplace safety and clinical care, particularly in occupational health and rehabilitation contexts. Analysis of his 2019-2025 publications reveals consistent innovation in wearable sensor technologies for ergonomics, including IMU-based posture tracking, smart workwear with vibrotactile feedback, and process mining for chronic disease management. His interdisciplinary work bridges engineering, medicine, and data science to develop real-world health monitoring systems. Scientific awards: No specific awards listed in source materials Abtahi actively mentors students at KTH through courses like 'Medical Technologies in Digital Healthcare Transformation' (CM2012) and 'Signal Processing and Data Analytics in Biomedical Engineering' (CM2013). While engaged in entrepreneurship for research translation, no detailed grant information is provided. As part of KTH's Division of Ergonomics, he contributes to projects including the P-Ergonomics Platform for personalized workplace monitoring and collaborates with industry partners to develop commercial health technologies through startup ventures.

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Maksims Kornevsمشاهده پروفایل

مدرس

KTH Royal Institute of TechnologySweden

Maksims Kornevs serves as an Adjunct Lecturer at KTH Royal Institute of Technology's School of Engineering, Division of Health Informatics and Logistics since 2021, specializing in data communication, medical engineering, and healthcare complexity research. His academic journey includes a PhD in Technology and Health from KTH (2019), Master's and Bachelor's degrees in Information Technology and Computer Science from Riga Technical University (top 1% of class). Doctor of Philosophy in Technology and Health (KTH, 2019) Master of Engineering Sciences in Information Technology (Riga Technical University, 2013) Bachelor of Engineering Sciences in Computer Control (Riga Technical University, 2011) His research spans participatory methods, gaming simulation, healthcare logistics, and mental health systems , with significant focus on complex adaptive systems in public sectors. Recent work integrates AI-driven decision aids for cancer screening and eldercare digitalization, emphasizing real-world implementation challenges through ethnographic studies and simulation frameworks. Publications (2014-2024) reveal three thematic clusters: 1) Healthcare simulation ( elderly care, frailty prevention, mental health systems ), 2) Logistics optimization ( port operations, road procurement, supply chain ), and 3) Serious games applications ( public servant training, engineering education ). Cross-cutting methodologies include Q methodology, system dynamics, and participatory design. As Principal Investigator, he leads multiple funded projects including Digital Decision Aid for Cancer Screening (49.5 kSEK, 2023-2024) and Computer Technology for Piano Learning (21 kSEK, 2024), demonstrating applied research translation. He previously managed KTH's Integration Lab supporting home care research and contributed to EU projects like POSITIVE (elderly monitoring systems) and ELISA (port digitalization).

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Jonas Willénمشاهده پروفایل

مدرس

KTH Royal Institute of TechnologySweden

Jonas Willén is a Lecturer at KTH Royal Institute of Technology, working within the Division of Health Informatics and Logistics. He serves as Program Director for the MSc in Sports Technology and Director of RIU (National Sports University) at KTH. His professional focus centers on developing technological solutions to improve quality of life through health and sports applications. Willén's research interests span health informatics and sports technology, with particular emphasis on wearable sensor systems, data synchronization, and applications for assisted living. His work addresses critical issues in elderly care, such as developing mobile security alarm systems that overcome the limitations of current home-bound solutions. He also focuses on sports instrumentation for performance analysis and coaching, with applications for both elite athletes and general fitness. His publication record from 2011-2025 shows consistent research in sensor networks, wearable technology, and applications in healthcare and sports. The research trends indicate a progression from foundational work on data synchronization and sensor networks toward more applied solutions in health monitoring and sports performance analysis. His recent work demonstrates increasing focus on real-world implementation of these technologies. As an educator, Willén teaches multiple courses including FullStack Development and DevOps, Health and Sports Instrumentation, Medical Engineering, Mobile Applications and Wireless Networks, and Sports Technology and Instrumentation. His teaching reflects his research interests, bridging theoretical knowledge with practical applications in technology development. Willén's professional philosophy emphasizes technology's potential to evolve human capabilities, particularly in health and sports contexts. His work consistently aims to translate technical solutions into tangible benefits for end users, whether seniors needing reliable security systems or athletes seeking performance insights.

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Maria Normarkمشاهده پروفایل

مدرس ارشد

Uppsala UniversitySweden

Maria Normark is a Senior Lecturer at the Department of Informatics and Media, Uppsala University, actively contributing to research at the intersection of human-computer interaction, artificial intelligence, and social informatics with emphasis on workplace technologies and societal impacts. Her primary research domains include: Human-Computer Interaction Artificial Intelligence in Workplace Contexts Interaction Design Ethics Digital Media and Social Informatics Gender and Technology Civic Technology Applications Analysis of her 2023-2025 publications reveals a consistent focus on AI's psychological and ethical dimensions in professional settings, particularly examining work engagement through self-determination theory, flow states in tool usage, and innovative consent models. Her work demonstrates growing attention to gender-inclusive design in health technologies and civic applications within data-driven societies, reflecting commitment to responsible technology development.

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Simon Liljeströmمشاهده پروفایل

پژوهشگر ارشد

Uppsala UniversitySweden

Simon Liljeström serves as a Postdoctoral Fellow, Statistician, and Education Manager at the Center for Clinical Research, Västmanland, operating under the Uppsala University academic umbrella through regional healthcare collaboration. His dual role bridges statistical methodology development with clinical education management in central Sweden. Research spans two distinct phases: early career (2008-2016) focused on music psychology examining emotional reactions, aesthetic judgment, and performance expression through idiographic modeling and experience sampling; recent work (2019-2024) pivoted to dental epidemiology and public health using Swedish national registries for caries identification, dementia prediction from midlife blood pressure, and CPR training efficacy. Methodological expertise includes advanced statistical modeling of longitudinal data and large-scale population studies. Publication trends reveal a strategic shift from cognitive music science to clinical registry epidemiology, maintaining rigorous quantitative approaches while adapting to new healthcare domains. Recent dental studies leverage the SKaPa national registry for life-course caries analysis, demonstrating methodological continuity despite thematic evolution. No scientific awards were documented in the source materials. Student advising and research grant activities are not referenced in available information, suggesting primary focus on independent research and educational management. Work occurs within the Center for Clinical Research, Västmanland framework without specific laboratory designation, indicating integration into regional healthcare research infrastructure rather than isolated lab-based work.

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Christopher Petersمشاهده پروفایل

دانشیار

Chalmers University of TechnologySweden

Christopher Peters serves as Associate Professor and director of the Embodied Social Agents Lab (ESAL) at KTH Royal Institute of Technology's Department of Computational Science and Technology. He earned his PhD from Trinity College Dublin in 2004 and participates in KTH's SRA ICT-The Next Generation faculty recruitment platform. His research investigates computational visual attention, affect, memory, theory of mind, and gaze control models for real-time interaction with humanoid agents and crowds in urban contexts. This work bridges virtual characters, physical social robots, and VR systems through interdisciplinary approaches in HCI, computer graphics, and affective computing. Peters has secured major funding including EU FP6 HUMAINE (€4.95M), CALLAS (€9.5M), Science Foundation Ireland METROPOLIS (€2.5M), and serves as KTH Principal Investigator for Horizon 2020 projects ProsocialLearn (€4.2M), ANIMATAS (€3.9M), and CLIPE (€4M). He leads the Embodied Social Agents Lab (ESAL) focused on developing and testing social agent technologies across physical and virtual environments.

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Valeriy Vyatkinمشاهده پروفایل

استاد مهمان

Luleå University of TechnologySweden

Valeriy Vyatkin serves as a Visiting Professor and Chaired Professor at Luleå University of Technology, specializing in Dependable Communication and Computation Systems within the Department of Computer Science, Electrical and Space Engineering. His research focuses on industrial automation technologies with particular emphasis on the IEC 61499 standard. Professor Vyatkin's research spans dependable communication systems, distributed automation architectures, and the integration of emerging technologies like large language models in industrial contexts. His work bridges theoretical computer science with practical industrial implementation, addressing challenges in virtual commissioning, performance analysis, and control systems optimization. Recent publications demonstrate his innovative approach to applying advanced computational methods to traditional industrial automation problems. His research demonstrates a clear trend toward integrating cutting-edge computational paradigms with established industrial automation standards. This includes pioneering work on physics-informed machine learning for industrial processes and decentralized control systems for applications like vertical farming. His publications in IEEE venues highlight the significance and relevance of his contributions to the field. Professor Vyatkin maintains active collaborations with researchers from institutions including Aalto University in Finland, as evidenced by his co-authored publications. His work has practical implications for improving efficiency, reliability, and adaptability of industrial automation systems across multiple sectors including manufacturing, agriculture, and energy-intensive industries.

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