جستجوی استاد راهنمای دانشگاهی

• Robotics
• Autonomous Systems
• Spatial Cognition
• +۶ مورد دیگر

Patric Jensfelt is a full-time Professor at the Robotics, Perception and Learning (RPL) division within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology . He contributes to robotics and autonomous systems through research, teaching, and industry collaboration. Academic Rank: Professor Department: Robotics, Perception and Learning (RPL) School: School of Electrical Engineering and Computer Science (EECS) University: KTH Royal Institute of Technology His research focuses on robotics and autonomous systems , particularly spatial cognition for enabling robots to understand and model their environments. He integrates sensor data with high-level symbolic reasoning to advance navigation, mapping, and system integration. Recent work includes applications in service robotics, 3D foot scanning (via the company Volumental ), and drone-based perception. The 15 most recent articles highlight advancements in scene flow estimation, autonomous driving, LiDAR processing, and domain adaptation. They emphasize self-supervised learning , dynamic environment modeling , and robust spatial representations for autonomous systems. Patric supervises Master’s and PhD students, particularly in project courses like DD2410 Introduction to Robotics , DD2419 Project Course in Robotics and Autonomous Systems , and the doctoral course FDD3356 System Integration for Robotics . He is actively involved in the WASP Graduate School , teaching Autonomous Systems annually. He leads the Robotics, Perception and Learning (RPL) division, which fosters innovation in robotics through experimental projects and industry partnerships like Intelligent Machines . The division supports internships (unpaid) and encourages applicants to demonstrate prior engagement with his research.

Benoit Baudryمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Blockchain Technology
• +۴ مورد دیگر

Benoit Baudry is a Professor in Software Technology at KTH Royal Institute of Technology (KTH) within the Digital Futures Faculty and Division of Theoretical Computer Science. He also holds a professorship at Université de Montréal. His research focuses on software diversity, testing, and reliable web-based applications, emphasizing experimental approaches using large-scale open-source systems. He leads the CHAINS project (supported by SSF) and holds a Wallenberg AI, Autonomous Systems and Software Program (WASP) research chair. Previously, he directed the CASTOR software research center (2018–2022) and led the DiverSE group at INRIA Rennes, France. Research Interests Baudry's work spans software supply chain security, blockchain node reliability, and production monitoring for test suite improvement. He explores techniques like N-version design for blockchain nodes, binary diversification for WebAssembly, and coverage-based debloating of Java dependencies. His methods emphasize collaboration with industry and empirical validation of software systems. Grants & Projects - CHAINS project (SSF-funded) - WASP research chair - Former leadership of CASTOR and DiverSE groups. Labs & Collaborations Affiliated with Digital Futures, a cross-disciplinary center at KTH collaborating with Stockholm University and RISE. His work addresses societal challenges via digital technology innovation.

• Extended Reality
• Virtual Reality
• Neurosurgical Education
• +۴ مورد دیگر

Alessandro Iop is a researcher at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science, specializing in the application of extended reality technologies to medical education and neurosurgical training. His work bridges computer science, human-computer interaction, and clinical medicine with significant contributions to virtual reality applications in healthcare. He earned his MSc in Interactive Media Technology with a Visual Media track from KTH and previously worked as a research engineer in Extended Reality for neurosurgical education at Karolinska University Hospital. This clinical experience directly informs his current research trajectory at the university. Dr. Iop's research focuses on several key areas including depth perception in virtual environments for minimally invasive procedures, objective performance metrics for surgical simulations, and systematic evaluations of extended reality applications in medical training. His work also explores social interactions with virtual agents and multimodal perception of emotions, demonstrating breadth across human-computer interaction domains. His publication record from 2020-2024 shows a clear evolution from fundamental perception studies toward clinically relevant applications, with recent work concentrating on neurosurgical training systems. The interdisciplinary nature of his research connects computer science with practical medical education needs. At KTH, Dr. Iop contributes to academic instruction as an assistant for Advanced Graphics and Interaction (DH2413), Advanced Topics in Visualization and Computer Graphics (DD2470), and Information Visualization (DH2321) courses, and serves as a teacher for Degree Projects in Computer Science and Engineering specializing in Interactive Media Technology (DA232X).

• Production Engineering
• Manufacturing Systems
• Simulation-Based Optimization
• +۵ مورد دیگر

Kaveh Amouzgar is an Associate Professor in Production Engineering at the Department of Engineering, School of Engineering Science, University of Skövde. With a doctoral thesis completed in 2018 titled 'Metamodel Based Multi-Objective Optimization with Finite-Element Applications,' he has established himself as a significant contributor to the field of production engineering and optimization. Dr. Amouzgar's research primarily focuses on simulation-based optimization techniques, multi-objective optimization approaches, and the integration of augmented reality in manufacturing environments. His work bridges theoretical optimization methods with practical industrial applications, particularly in CNC machining, energy efficiency in manufacturing, and Industry 4.0 technologies. His research demonstrates a consistent trajectory of increasing complexity and industrial relevance since his doctoral work. His publication record reveals a strong trend toward interdisciplinary research at the intersection of manufacturing engineering, computer science, and human factors. Recent work (2023-2025) increasingly incorporates extended reality (XR) technologies, machine learning applications, and sustainability considerations into traditional manufacturing optimization problems. This evolution reflects the broader shift in production engineering toward digitalization and human-centered smart manufacturing systems. Dr. Amouzgar maintains extensive collaborations with researchers at the University of Skövde, particularly with Amos H.C. Ng, and has co-authored numerous publications with international partners. His work appears in reputable journals including Procedia CIRP, Journal of Manufacturing Systems, IEEE Access, and International Journal of Production Research, demonstrating both academic rigor and industrial relevance. At the University of Skövde, Dr. Amouzgar appears to be actively involved in research projects related to smart manufacturing, digital transformation of production systems, and optimization methodologies. His recent publications suggest involvement in learning factory environments and research initiatives focused on Industry 4.0 implementation in manufacturing contexts.

• Multi-Level Modeling
• Cybersecurity Analysis
• Enterprise Modeling
• +۶ مورد دیگر

Manfred A. Jeusfeld is a Professor at the School of Informatics, University of Skövde, Sweden. He specializes in multi-level modeling, enterprise architecture, and cybersecurity analysis for critical infrastructure, particularly in energy systems. His research spans conceptual modeling, data warehouses, and product lifecycle management. Current Projects: Leading "Virtual Factories of the Future" (VF-KDO), a long-term research initiative (2018–2026) focused on knowledge-driven optimization for Swedish industry. Completed Projects: Contributed to "ELVIRA" (2017–2020) for infrastructure resilience and "OMI" (2015–2017) for enterprise modeling education. Research Trends: Recent publications emphasize cybersecurity in critical infrastructure, multi-level modeling formalizations, and virtual factory artifact management. Collaborations with researchers like Thomas Kühne and Yuning Jiang highlight his focus on model-driven engineering and smart grid security. Grants & Collaborations: Served as a course coordinator and project leader in EU-funded initiatives (e.g., ELVIRA). Active in international conferences and workshops (MODELS-C, ER Conference).

Martin Jobornمشاهده پروفایل

دانشیار مدعو

• Railway Transport
• Transportation Planning
• Operations Research
• +۳ مورد دیگر

Martin Joborn is an Adjunct Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems school. His research focuses on railway and public transport optimization, including delay analysis, freight car distribution, and integrated traffic-management systems. Key contributions include studies on railway punctuality improvement, freight logistics optimization, and infrastructure utilization. He contributed to the 2019 RailNorrköping conference as an organizer and researcher. His work bridges theoretical models with practical applications in transportation systems. Recent publications analyze freight car distribution algorithms, timetable adherence effects, and critical disturbance identification in railway networks. His research emphasizes cost-benefit frameworks and optimization models for traffic and maintenance planning.

Todor Stoyanovمشاهده پروفایل

مدرس ارشد

• Autonomous Mobile Robots
• Robot Perception Algorithms
• Motion Synthesis for Manipulation
• +۳ مورد دیگر

Todor Stoyanov is a Senior Lecturer in Computer Science and an affiliated faculty member of the WASP program at Örebro University. He serves as the subject manager in computer science and is part of the Centre for Applied Autonomous Sensor Systems (AASS). His research focuses on autonomy for mobile robots, particularly perception algorithms and motion synthesis for manipulation. He holds a PhD in Computer Science from Örebro University (2012), specializing in autonomous robot navigation. Education: PhD in Computer Science, Örebro University, 2012 (Thesis: Reliable Autonomous Navigation in Semi-Structured Environments Using the 3D Normal Distributions Transform) Research Interests: Dr. Stoyanov's work spans autonomous mobile robots, robot perception, motion planning, and manipulation. Key areas include behavior trees for control, deformable object tracking, and reinforcement learning for knowledge transfer. His research often integrates advanced algorithms with real-world robotics applications in logistics, manufacturing, and environmental monitoring. Research Projects: Ongoing: Labour market effects of AI in knowledge-intensive services Ongoing: Dynamic Agile Production Robots (DARKO) Ongoing: TeamRob - Teams of Robots Working for and with Humans Completed: Action and Intention Recognition in Human-Robot Interaction (AIR) Completed: Autonomous Wheeled Loaders for Material Handling (ALL-4-eHam) Labs/Groups: He leads the Autonomous Mobile Manipulation Lab, focusing on full-body mobile manipulation and human-robot collaboration.

• Human-Robot Interaction (HRI)
• Cognitive Ergonomics
• Eye-Tracking Technology
• +۳ مورد دیگر

Dr. Erik Billing is a researcher at the University of Skövde , actively contributing to the School of Informatics and affiliated with the Interaction Lab (ILAB) . His work focuses on human-robot interaction (HRI), cognitive ergonomics, and extended reality (XR) applications in industrial and educational contexts. Research Pillars : Human-Robot Interaction, Cognitive Ergonomics, Eye-Tracking, Virtual/Augmented Reality, Digital Human Modeling Key Projects : RO-LIV (social robots for elderly), EWASS (industrial HRI), OKAVIM (XR competency) Funding : Supported by AFA Insurance and Vinnova grants His recent work includes investigating body language in social robots, expectation formation in HRI, and gaze-based worker behavior prediction. Dr. Billing serves as editor for SweCog conference proceedings and contributes to VR/XR motor learning research.

• Additive Manufacturing
• Surface Engineering
• Thermal Spray Coatings
• +۳ مورد دیگر

Professor Shrikant Joshi holds a Doctor of Philosophy in Chemical Engineering at University West's Department of Engineering Science, Division of Mechanical engineering. His research spans Additive Manufacturing (AM) and Surface Engineering with significant industrial collaborations including GKN, Siemens, Sandvik, Arcam, Quintus, and Exova. Funded by KK.Stiftelsen and Vinnova, his work integrates academic research with industrial applications in high-performance materials development. His research interests focus on Additive Manufacturing of Ni-based superalloys (particularly post-treatment effects on build properties) and advanced thermal spray technologies including solution precursor plasma spraying (SPPS), suspension plasma spraying (SPS), hybrid coatings, and HVAF coatings. Key objectives include enhancing functional properties (thermal barrier, wear, corrosion resistance) beyond conventional powder-based methods, with applications in power plant boilers, hydrogen production electrolyzers, and high-temperature environments. Current projects involve luminescent coatings development in collaboration with ESS, University of Oslo, and Stony Brook University. Professor Joshi developed and taught a Surface Engineering course in Autumn 2016 under the Produktion 2030 initiative. His research is supported by multiple grants from KK.Stiftelsen and Vinnova, focusing on coating chemistries for boiler environments and advanced material systems. Industrial partnerships form a critical component of his research ecosystem, enabling direct translation of findings to real-world applications. KK.Stiftelsen-funded project on coating chemistries for boiler environments Vinnova-supported Additive Manufacturing research International collaboration on luminescent coatings (ESS, University of Oslo, Stony Brook University) His laboratory work centers on thermal spray technologies and additive manufacturing, with specialized capabilities in solution-based plasma spraying, hybrid coating systems, and high-velocity air-fuel processes. The research environment leverages University West's strengths in allied AM areas and complementary industrial partner capabilities for comprehensive materials development and testing.

Johanna Schwarzمشاهده پروفایل

دانشیار

• Sleep Science
• Stress and Recovery
• Cognitive Neuroscience
• +۵ مورد دیگر

Johanna Schwarz is an Associate Professor at Stockholm University's Department of Psychology, specializing in sleep science and stress-related recovery mechanisms. Her research focuses on sleep's role in emotional regulation, cognitive performance, and aging through experimental and population-based studies. Stockholm University, Department of Psychology Division for Sleep and Alertness Research Research interests center on sleep's interaction with stress load, emotional processing, and cognitive function across adult lifespan. Key methodologies include: Magnetoencephalography (MEG) for neurophysiological measurements Polysomnography in real-life contexts Experience sampling method (ESM) for longitudinal tracking fMRI and EMG for brain-behavior relationships Recent publications examine age-related differences in sleep deprivation impacts, subjective sleep quality interpretation, and emotional regulation neuroimaging. While specific awards aren't detailed in current data, her collaborative studies with Stress Research Institute demonstrate significant contributions to sleep neuroscience. Key research trends show cross-disciplinary integration of: Cognitive neuroscience with gerontology Clinical sleep medicine with epidemiology Neuroimaging with behavioral economics Population health with neurophysiological biomarkers Stress response modeling with affective regulation Subjective sleep experience with objective measurement

• Neurosciences
• Alzheimer's Disease Research
• Cognitive Decline
• +۹ مورد دیگر

Shireen Sindi, PhD is Associate Professor (Docent) at Karolinska Institute's Department of Neurobiology, Care Sciences and Society (NVS), Division of Clinical Geriatrics. She also serves as Senior Research Specialist and Coordinator for Data-Driven and AI Research at KI (DDKI), an initiative established by the KI Committee for Research to promote rapidly advancing research areas. Dr. Sindi's educational background includes a Bachelor's degree in Psychology from McGill University, Master's and Doctoral degrees from McGill's Integrated Program in Neuroscience, an MSc in Clinical Trials from the London School of Hygiene and Tropical Medicine, and an MBA from Imperial College Business School. Her academic achievements include being awarded Docent status at Karolinska Institutet in 2024. Her research focuses on uncovering multi-system biological mechanisms contributing to cognitive decline and dementia risk factors, with particular emphasis on the intricate relationships between stress, sleep disturbances, and sex differences across the spectrum from normal aging to Alzheimer's disease. She integrates various biomarkers including cortisol, neuroimaging, Alzheimer's disease biomarkers (beta-amyloid, tau), neuroinflammation markers, and allostatic load. Her work also explores the impacts of multidomain lifestyle interventions encompassing diet, exercise, cognitive training, and vascular/metabolic risk management on cognition and sleep. Analysis of Dr. Sindi's recent publications reveals a strong focus on sex differences in dementia, the relationship between stress biomarkers and cognitive decline, sleep disturbances as risk factors for dementia, and the effectiveness of multimodal interventions. Her research consistently employs interdisciplinary approaches, integrating neuroimaging, biomarker analysis, and longitudinal cohort studies to understand the complex pathways leading to cognitive decline. Among her notable achievements is the receipt of a 30 million SEK award from Wellcome Leap CARE for research with a comprehensive perspective on Alzheimer's disease risk. She has also served as Principal Investigator for multiple project grants using multi-center designs to enhance statistical power and generalizability. Dr. Sindi has established a solid track record for supervising and mentoring students and postdocs across multiple institutions including Karolinska Institute, Imperial College London, Stockholm University, and University of Eastern Finland. Her leadership roles include former Chair for Junior Faculty and current Chair for National Junior Faculty in Sweden, demonstrating her commitment to advancing scientific careers and opportunities.

Erdal Aksoyمشاهده پروفایل

دانشیار

• Semantic Scene Perception
• Action Semantics
• Autonomous Systems
• +۹ مورد دیگر

Erdal Aksoy is an Associate Professor at Halmstad University 's School of Information Technology , with visiting scholar roles at Volvo Group Trucks Technology and Zenseact AB . His work focuses on semantic scene perception , action semantics , and environment understanding for autonomous systems including robots and unmanned vehicles. Education : PhD from University of Göttingen, postdoctoral research at Karlsruhe Institute of Technology (KIT) and University of Göttingen Research Interests : Semantic scene perception, action semantics, autonomous systems, human-robot interaction, LiDAR processing, and deep learning applications His recent publications demonstrate expertise in LiDAR data processing (SalsaNet, SalsaNext), semantic state estimation for robotic cloth manipulation, and multimodal failure detection systems. He has coordinated the HORIZON Europe ROADVIEW consortium with 15 partners. Scientific recognition includes Best Student Paper Award at IJCAI 2021 AI4AD workshop Best AI Master’s Thesis Award from Swedish AI Society (SAIS) Wimanska Prize for best bachelor thesis Distinguished Service Award as IEEE Robotics and Automation Letters Associate Editor His advising track record shows mentorship of award-winning students across bachelor, master, and PhD levels. Erdal Aksoy maintains active collaborations between academia and industry, particularly with automotive technology companies.

Alexander Miethingمشاهده پروفایل

پژوهشگر

• Public Health
• Social Determinants of Health
• Health Inequalities
• +۳ مورد دیگر

Alexander Miething is a Researcher at the Department of Public Health Sciences , Stockholm University. His work focuses on social determinants of health , particularly how socioeconomic inequalities affect immigrant populations' health and mortality. He leads the FORTE-funded project on Income Mortality Paradox among Immigrants and collaborates on the Studies of Migration and Social Determinants of Health (SMASH) initiative. Education includes a PhD in Health Equity Studies (2014) from Stockholm University. His research integrates epidemiological methods with social science theories to examine health disparities across generations, migration contexts, and welfare systems. Key projects include investigating reproduction of inequality through linked lives (RELINK) and analyzing peer network effects on health behaviors like alcohol use and dieting. Methodologically, he uses register-based studies and longitudinal data to track health outcomes over time. Publications span topics such as income gradients in mortality , unemployment policy impacts , and psychosocial factors like trust and happiness . He has explored cross-national health trends in Europe and age-related disparities in depressive symptoms. Funding: Swedish Research Council for Health, Working Life, and Welfare (Forte), EU initiatives Teams: SMASH group, RELINK consortium

• Digital Human Modeling
• Ergonomics
• Virtual Reality
• +۴ مورد دیگر

Estela Perez Luque is a researcher at the University of Skövde within the School of Engineering Science and Interaction Lab (ILAB) . She specializes in Digital Human Modeling (DHM) , ergonomics, and simulation-based design for automotive and industrial applications, with a focus on integrating human variability into engineering workflows. Affiliated with the INFINIT research environment and projects like ADOPTIVE (Automated Design & Optimization of Vehicle Ergonomics) and VIVA (Virtual Vehicle Assembler). Collaborates with Chalmers University of Technology and SAFER Vehicle and Traffic Safety Centre . Her research explores: Ergonomic simulation tools for automotive design Exoskeleton evaluation using DHM frameworks 3D body shape prediction models for standardized DHM manikins Eye-tracking in VR for understanding motor redundancy Biomechanical reference points in vehicle packaging design Publications demonstrate expertise in multi-objective optimization for balancing ergonomics and productivity, statistical modeling of human variability, and VR validation for experimental setups. Funded by the Knowledge Foundation , Vinnova , and Swedish industry partners. Her work emphasizes open-source contributions, including MATLAB scripts for body shape prediction and validation protocols for VR eye-tracking. She collaborates with international teams at conferences like DHM 2025 and IEA 2021 .

• Developmental Psychology
• Autism Spectrum Disorder
• Infant Development
• +۶ مورد دیگر

Terje Falck-Ytter is a Professor in the Department of Psychology at Uppsala University, specializing in Developmental Psychology. With a PhD awarded in 2010 following clinical training in psychology, his research focuses on characterizing and understanding the development of infants later diagnosed with neurodevelopmental conditions, particularly autism spectrum disorder (ASD). His primary research interests include developmental psychology, autism spectrum disorder, infant development, twin studies, genetics and environmental influences, eye tracking research, and neurodevelopmental conditions. His work investigates how genetic and environmental factors contribute to various developmentally informative measures early in life. Falck-Ytter's extensive publication record demonstrates significant contributions to understanding social attention, sensory processing, and early biomarkers for autism. His research utilizes advanced methodologies including eye tracking, twin studies, and genetic analyses to uncover developmental pathways and early indicators of neurodevelopmental conditions. His work has practical implications for early detection and intervention strategies for children at risk. Infants' looking preferences for social versus non-social objects reflect genetic variation (2024) Social attention: Developmental foundations and relevance for autism spectrum disorder (2023) The sensory-first account of autism (2023) Joint attention in infancy and the emergence of autism (2019) Enhanced pupillary light reflex in infancy is associated with autism diagnosis in toddlerhood (2018) Falck-Ytter leads the Babytwins Study Sweden (BATSS), a multi-method infant twin study examining genetic and environmental factors influencing infant brain and behavioral development. His research has been widely cited and has appeared in high-impact journals including Nature Human Behaviour, Nature Communications, and Biological Psychiatry. His work bridges clinical practice and research, with implications for early identification and intervention strategies for children with neurodevelopmental conditions. He has mentored numerous researchers and collaborated extensively with international teams studying early autism markers across European populations.