جست‌وجوی استاد و پژوهشگر

Gregorio Marchesiniمشاهده پروفایل

پژوهشگر

• Multi-Agent Systems
• Robotics
• Control Systems
• +۷ مورد دیگر

Gregorio Marchesini is a doctoral student at KTH Royal Institute of Technology, affiliated with the Department of Intelligent Systems under the School of Electrical Engineering and Computer Science. His research focuses on networked systems control under spatio-temporal and communication constraints, with an emphasis on formal methods for multi-agent systems in mixed autonomy environments. He is associated with the EU project SymAware , which develops situational awareness frameworks for autonomous systems. His research interests include Signal Temporal Logic (STL) for task specification Multi-agent planning and control Graph theory and predictive control Formal methods in robotics The articles he has co-authored address topics such as temporal logic planning , decentralized control , and communication-constrained optimization for multi-agent systems. These works often intersect with robotics , control theory , and autonomous navigation in complex environments. Gregorio actively mentors students, encouraging collaboration on MSc thesis projects related to his research. His software contributions and technical insights, such as optimizing Model Predictive Control (MPC) using CasADi's to_function() and warm-starting techniques, are shared on platforms like GitHub and personal blogs. He is involved in the Decision and Control Systems (DCS) division, contributing to both theoretical and applied aspects of autonomous systems.

• evolutionary game theory
• network science
• game theory
• +۳ مورد دیگر

Anzhi Sheng serves as a Research Fellow at the Division of Decision and Control Systems, KTH Royal Institute of Technology, working under postdoctoral mentors Angela Fontan and Silun Zhang. Educational Background: Ph.D. in Mechanical Systems and Control, Peking University, 2025 Visiting Researcher, Department of Biology, University of Pennsylvania (2022-2024), supervised by Joshua Plotkin B.S. in Applied Mathematics, Zhejiang University of Technology, 2019 Research Interests: Anzhi Sheng's work centers on evolutionary game theory and network science, with particular emphasis on their interplay in modeling strategic behavior evolution within structured populations. His research bridges theoretical biology, complex systems, and dynamical systems, exploring how network topologies influence cooperative behavior emergence and evolutionary stability across biological and social contexts. Scientific Awards: No awards or honors were documented in the provided information. Advising and Grants: Current documentation indicates no formal student advisees or grant funding details. His research activities are primarily supported through institutional affiliation with KTH's Division of Decision and Control Systems. Labs and Teams: Anzhi Sheng operates within the Division of Decision and Control Systems at KTH Royal Institute of Technology (Malvinas Väg 10, Room A:723), contributing to collaborative projects under the mentorship structure established by Angela Fontan and Silun Zhang.

Henny Admoniمشاهده پروفایل

دانشیار

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

Henny Admoni is an Associate Professor at the Robotics Institute, Carnegie Mellon University . She leads the Human And Robot Partners (HARP) Lab and is currently a Digital Futures Scholar in Residence at KTH Royal Institute of Technology through August 2025. Her research focuses on human-robot interaction, assistive robotics, and modeling human behavior to develop intelligent systems that collaborate seamlessly with humans. PhD in Computer Science, Yale University MS in Computer Science, Yale University BA/MA joint degree in Computer Science, Wesleyan University Her work integrates methodologies from robotics, machine learning, artificial intelligence, computer perception, and cognitive science , with applications in physical support for daily living, driving assistance, social support networks, and collaborative tasks like household cleanup . She develops algorithms for proactive, fluent, and interpretable robot behavior , leveraging human mental state modeling and eye-gaze analysis. Recent publications include studies on driver situational awareness, robot self-assessment, and human-AI teaming , primarily in venues like IROS, HRI, CoRL, and RSS . Her research has evolved from eye-gaze-based intent prediction to proactive robot learning and strategic human-AI collaboration . Scientific recognition includes: NSF CAREER grant Okawa Research Grant A. Nico Habermann Career Development Professorship Her research is funded by NSF, ONR, Paralyzed Veterans of America Foundation, Google, Meta, and Sony AI . She emphasizes interdisciplinary collaboration and student engagement through weekly lab meetings and structured research opportunities. The HARP Lab explores human-robot shared manipulation, social support AI, and driver assistance systems , with a focus on human psychology and agency in robotic interactions.

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۷ مورد دیگر

Mårten Björkman is a Professor at the School of Electrical Engineering and Computer Science , Royal Institute of Technology (KTH) , specializing in Robotics, Perception and Learning . His research bridges 3D computer vision with multimodal sensor fusion, including force-torque sensing, to enhance human-robot interaction. Recent work focuses on modeling sequential data for robotic control, human movement prediction, and power systems. Key research areas include: Reinforcement learning for robotic systems Human movement analysis and prediction Implicit regularization in neural networks Online learning for dynamical systems Power system control with AI 3D perception through multi-view vision His recent publications span deep learning for assembly inspection , EEG-based brain-robot interfaces , safe reinforcement learning , and multimodal motion generation . The work intersects robotics, machine learning, and human-centric system design. The Robotics, Perception and Learning division at KTH hosts his research, equipped with state-of-the-art facilities for robotic vision and human interaction studies.

David Wheatcroftمشاهده پروفایل

مدرس

• Animal Behavior
• Ornithology
• Evolutionary Biology
• +۲ مورد دیگر

David Wheatcroft is a Lecturer in the Department of Zoology at Stockholm University, specializing in Ethology. He leads the Wheatcroft Group research team, focusing on animal behavior, particularly bird populations and evolutionary biology. His work examines how climate change and habitat alterations impact bird populations and ecosystem services. Dr. Wheatcroft's research spans multiple areas of animal behavior and evolutionary biology, with a particular emphasis on avian communication, song learning, and the effects of environmental changes on animal populations. His work combines field studies with genetic and neurobiological approaches to understand the mechanisms behind behavioral adaptations. He has made significant contributions to understanding how birds respond to anthropogenic noise, how geographic variation shapes vocal communication, and how climate change affects bird population dynamics. His publication record demonstrates a consistent focus on evolutionary processes, particularly in songbirds and fish models. The research shows a trajectory from basic behavioral observations to more complex integrations of genomics, neurobiology, and ecological modeling. His recent work increasingly examines the intersection of human environmental impacts with natural evolutionary processes. Dr. Wheatcroft leads the Wheatcroft Group, which conducts research on long-term changes in Swedish bird populations with a focus on climate and habitat changes. The group investigates the mechanisms behind observed changes in bird populations and their implications for ecosystem services.

• Energy Engineering
• Solar Energy
• Building Energy Systems
• +۴ مورد دیگر

Mats Rönnelid serves as Professor of Energy Engineering within the Department of Information and Technology at Dalarna University. His academic profile demonstrates a strong commitment to both teaching and research in sustainable energy systems, with particular expertise in solar applications and building energy efficiency. Professor Rönnelid's research interests span multiple critical areas of modern energy engineering, with primary focus on solar energy applications in building design, renewable energy integration with district heating systems, and photovoltaic system optimization. His work bridges theoretical knowledge with practical implementation, particularly in the context of Swedish climate conditions and energy infrastructure. Analysis of his publication record reveals a consistent trajectory of research centered on practical energy solutions, with increasing emphasis on system integration approaches. His work demonstrates a progression from fundamental solar energy applications toward more complex system interactions involving data centers, district heating networks, and renewable energy integration. Professor Rönnelid teaches several specialized courses including Energy and resource use in the built environment, Solar radiation and solar geometry, and Design of solar energy buildings, reflecting his expertise in practical solar energy applications for building systems.

• Medicinal Chemistry
• Combinatorial Chemistry
• Drug Discovery
• +۵ مورد دیگر

Mats Larhed is a Professor in the Department of Medicinal Chemistry at Uppsala University, where he also serves as Vice-Rector for Medicine and Pharmacy since 2020. His academic journey began with a Master of Science in Pharmacy in 1991, followed by appointments as Professor in Combinatorial Chemistry in 2007 and Professor in Medicinal Chemistry in 2015. Dr. Larhed's research spans multiple areas of medicinal chemistry with particular expertise in: Design and synthesis of IRAP (Insulin-Regulated Aminopeptidase) inhibitors Angiotensin receptor ligands, particularly AT2 receptor research Application of microwave chemistry and flow chemistry techniques in drug discovery Development of novel synthetic methodologies for pharmaceutical compounds Drug discovery for idiopathic pulmonary fibrosis (IPF) Analysis of his recent publications (2020-2024) reveals a strong focus on neurocognitive effects of IRAP inhibitors, structural optimization of angiotensin receptor ligands, and high-throughput screening approaches for drug discovery. His work bridges synthetic chemistry with biological evaluation across multiple disease areas including pulmonary fibrosis, cognitive disorders, and cancer imaging, with significant contributions to understanding the structural basis of enzyme inhibition and developing novel therapeutic approaches. Dr. Larhed leads research groups focusing on preparative medicinal chemistry, with expertise in microwave-assisted synthesis, flow chemistry, and the development of novel synthetic methodologies for pharmaceutical applications. His laboratory has produced numerous publications in high-impact journals including International Journal of Molecular Sciences, European Journal of Medicinal Chemistry, and Journal of Organic Chemistry. As Vice-Rector for Medicine and Pharmacy, Dr. Larhed plays a significant administrative role at Uppsala University, overseeing academic and research activities in these fields. His dual role as both an active researcher and senior administrator demonstrates his standing within the academic community and his commitment to advancing pharmaceutical sciences.

Helena Grönqvistمشاهده پروفایل

پژوهشگر

• eHealth
• Psychosocial Care
• Digital Health Interventions
• +۳ مورد دیگر

Helena Grönqvist is an Affiliated Researcher at Uppsala University's Department of Women's and Children's Health and serves as Project Manager at the Centre for Integrated Research on Culture and Society (CIRCUS). Her career focuses on eHealth, psychosocial care, and digital interventions for cancer patients and their families. She actively contributes to the U-CARE research environment, developing web-based therapeutic tools and investigating long-term psychological effects in oncology contexts. Affiliated Researcher, Department of Women's and Children's Health, Uppsala University Project Manager, Centre for Integrated Research on Culture and Society (CIRCUS) Active in U-CARE research program on digital psychosocial care Her research interests center on digital health interventions , particularly internet-based cognitive behavioral therapy programs for cancer patients and families. She investigates long-term psychological effects of cancer diagnosis across life stages, parental support needs after childhood cancer, and neurodevelopmental patterns in preterm infants. Her work integrates clinical psychology with digital platform development , emphasizing longitudinal study designs. Publication trends show consistent contributions to Journal of Medical Internet Research , Acta Oncologica , and Psycho-Oncology journals, covering topics from web-based intervention design to parental bereavement support . The 15 most recent articles demonstrate methodological expertise in randomized controlled trials , longitudinal observational studies , and design science research . Helena collaborates extensively with multidisciplinary teams including Mudassir Imran Mustafa , Joanne Woodford , and Anna Wikman . She contributes to academic discourse through conference papers on internet-based self-help and adolescent cancer consequences , while maintaining active roles in both CIRCLE and CIRCUS research centers.

• Machine Learning
• Artificial Intelligence
• Ship Performance Modeling
• +۷ مورد دیگر

Wengang Mao serves as an Assistant Professor in Marine Engineering at Chalmers University of Technology, where his research focuses on enhancing the energy efficiency and safety of shipping operations through advanced computational methods and digitalization. His work bridges traditional marine engineering with cutting-edge artificial intelligence techniques to address contemporary challenges in maritime transportation. Dr. Mao's research interests center on four main areas: (1) Machine learning and AI applications for ship performance and response modeling; (2) Ship weather routing and voyage optimization for energy-efficient shipping; (3) Autonomous shipping technologies including route planning, optimal control, and smart navigation systems; and (4) Statistical modeling of hydrodynamic loads, fatigue safety, and environmental conditions. His interdisciplinary approach combines marine engineering fundamentals with data science to develop practical solutions for the maritime industry. Analysis of his recent publications reveals a strong trend toward integrating machine learning techniques with traditional marine engineering problems. His work demonstrates increasing focus on autonomous shipping systems, environmental sustainability through optimized routing, and advanced fatigue assessment methods for marine structures. The research spans both theoretical developments and practical applications, with particular emphasis on real-world validation using ship operational data. Dr. Mao has contributed significantly to the field through numerous collaborative projects, though specific grant information isn't detailed in the available text. His research has practical implications for ship operators seeking to reduce fuel consumption and emissions while maintaining safety standards in increasingly complex maritime environments. His work appears to be closely connected with maritime industry applications, particularly in the areas of voyage optimization systems and ship performance monitoring, suggesting strong industry-academia collaboration in his research activities.

• Optical Tweezers
• Microfluidics
• Single-Cell Analysis
• +۳ مورد دیگر

Mattias Goksör is a Professor in the Department of Physics at the University of Gothenburg, Sweden, specializing in biophysical engineering and single-cell analysis. His laboratory develops advanced microfluidic platforms and optical manipulation techniques for biological applications, with a focus on metabolic dynamics and tissue engineering. His research bridges optical physics and systems biology , particularly through innovations in optical tweezers for cellular manipulation and organ-on-a-chip technology. Key contributions include the liver-lobule-on-a-chip (LLoC) system for stem cell maturation and quantitative studies of glycolytic oscillations in yeast, revealing fundamental principles of metabolic synchronization and cellular heterogeneity. Publication analysis shows a strategic evolution from foundational single-cell techniques (2011-2015) toward complex organ-mimetic systems (2017-2025), with recent integration of deep learning for optical control. This trajectory demonstrates consistent focus on translational microfluidics with applications in drug testing, disease modeling, and regenerative medicine, primarily through collaborations with Caroline B. Adiels and international consortia.

• Industrial Automation
• Human-Robot Collaboration
• Industry 4.0
• +۴ مورد دیگر

Dr. Åsa Fasth Berglund is an active researcher at Chalmers University of Technology within the Production Systems department. Her work focuses on industrial digitalization, human-automation collaboration, and Industry 4.0 implementation strategies. She leads multiple research initiatives funded by VINNOVA and the European Commission, with 30+ documented projects since 2006. Her core research explores: Cognitive automation frameworks for manufacturing operators Human-robot co-production systems Extended reality (XR) applications in industrial settings Digital work instruction methodologies Sustainable and flexible production system design Publication analysis reveals consistent focus on Industry 4.0 technologies since 2016, with recent emphasis on operational flexibility, human-robot collaboration, and digital twins. Her work frequently combines empirical case studies with technical implementation frameworks. Dr. Berglund has secured significant research funding including: DIH World (EU Commission, 2020-2023) FAKTA Automation (VINNOVA, 2019-2022) Stena Industry Innovation Lab (Stena Foundation, 2018-2020) 5G-Enabled Manufacturing (VINNOVA, 2018-2020) She co-leads the Production Systems research group and established the Stena Industry Innovation Lab at Chalmers, focusing on applied industry solutions. Current projects investigate digital twins for sustainable manufacturing and AI-driven cognitive automation.

Niclas Kolmمشاهده پروفایل

استاد

• Brain Evolution
• Cognitive Evolution
• Behavioral Ecology
• +۳ مورد دیگر

Niclas Kolm is a Professor at the Department of Zoology, Stockholm University, leading a research group focused on experimental and comparative studies of brain evolution and behavior. His work spans vertebrates including guppies, cichlids, birds, dogs, and marine mammals, employing artificial selection experiments and phylogenetic analyses. Head of laboratory facilities with >4000 aquaria and specialized behavioral assay rooms Collaborations with international researchers in evolutionary biology and neuroscience Research emphasizes: Mosaic brain evolution and cognitive function relationships Trade-offs between neural investment and physiological traits Ecological and social drivers of encephalization Sexual selection's role in reproductive trait coevolution Recent publications demonstrate experimental evidence for brain region specialization, cognitive costs/benefits of neural investment, and evolutionary patterns in social behavior. Group maintains extensive guppy selection lines for studying cognition-brain morphology links. Phylogenetic comparative analyses across 4500+ vertebrate species Artificial selection experiments on telencephalon size and cognition Behavioral assay systems for inhibition, learning, and social interactions

• Statistical Genetics
• Computational Biology
• Biostatistics
• +۳ مورد دیگر

Xia Shen is a Senior Research Specialist at the Karolinska Institutet , working within the Department of Medical Epidemiology and Biostatistics . She is part of Yudi Pawitan's research group, focusing on statistical and bioinformatics analyses of high-throughput molecular data. PhD in Statistical Genetics (2012), Uppsala University MSc in Applied Statistics (2008), Dalarna University BSc in Statistics and Actuarial Science (2007), Renmin University of China Her research spans statistical genetics , computational biology , and bioinformatics , with particular emphasis on genetic correlation estimation, pleiotropy analysis, and omics data modeling. She has developed multiple R packages including TGCA (Total Genetic Contribution Analysis) and HDL (High-Definition Likelihood) for advanced genetic analyses. Key scientific contributions include: 2021 Nature Communications paper on improved phenotypic correlation estimation from GWAS data 2020 Nature Genetics work on genetic correlation methodology 2020 Nature Human Behaviour study on neuro-related protein genetics 2019 Frontiers in Genetics analysis of CCR5Δ32 pleiotropy She has previously held positions at the Karolinska Institutet and Sun Yat-sen University , and maintains active collaborations in polygenic risk score development and multi-trait GWAS analysis.

• Renal Epidemiology
• Chronic Kidney Disease
• Cardiovascular Epidemiology
• +۲ مورد دیگر

Roosa Lankinen is a Postdoctoral Researcher at Karolinska Institutet's Department of Medical Epidemiology and Biostatistics, working within Juan-Jesus Carrero's Cardio-renal epidemiology research group through 2026. Her position focuses on translational epidemiological research bridging renal and cardiovascular health. Her academic credentials include: PhD from University of Turku (2022) MD from University of Turku (2007) Lankinen's research centers on chronic kidney disease (CKD) progression mechanisms and clinical management, with particular emphasis on stages 4-5. She investigates cardiovascular complications including vascular calcification, arrhythmias, and exercise intolerance, while examining quality-of-life metrics and mortality predictors during transitions to dialysis or transplantation. Her methodology integrates longitudinal cohort designs with biomarker analysis, imaging techniques, and patient-reported outcomes to address critical gaps in cardio-renal syndrome understanding. Analysis of her 2020-2022 publications reveals consistent focus on advanced CKD populations using multimodal assessment approaches. Key trends include vascular calcification progression tracking, cardiac biomarker validation (particularly troponin T), and comprehensive quality-of-life evaluation during treatment transitions. Her work demonstrates strong interdisciplinary collaboration across nephrology, cardiology, and epidemiology domains, with frequent co-authorship patterns indicating stable research partnerships. No scientific awards are documented in the available profile information. Regarding academic mentorship and funding, the provided materials contain no references to student supervision activities or grant acquisitions. Her research appears institutionally supported through Karolinska's departmental infrastructure. She operates within Juan-Jesus Carrero's Cardio-renal epidemiology research group, which specializes in population-level studies of kidney-heart interactions, though specific laboratory facilities or team composition details are not elaborated in the source materials.

• Infectious Diseases
• Clinical Microbiology
• Antibiotic Resistance
• +۴ مورد دیگر

Anna C. Nilsson serves as Associate Professor in Clinical Infection Medicine at Lund University's Faculty of Medicine and is affiliated with the Infect@LU research group. Her work spans infectious disease research with focus on Staphylococcus aureus, antibiotic resistance, and pandemic-related critical care outcomes. Her research interests center on infectious disease pathogenesis , particularly Methicillin-Resistant Staphylococcus Aureus (MRSA) dynamics (68% of her work), COVID-19 long-term effects (60%), and emergency department infection management (40%). She investigates symptom patterns (61%), drug resistance mechanisms (54%), and therapeutic interventions across diverse patient populations including injection drug users and critically ill patients. Recent publication trends reveal strong emphasis on post-pandemic health outcomes and antibiotic resistance evolution . Her 2024-2025 work shows increasing focus on mental health sequelae in critical illness survivors and molecular mechanisms of Staphylococcus aureus resistance. The RifRSA project (2021-2026) represents her major ongoing investigation into rifampicin resistance during tuberculosis treatment. Her scientific contributions align with UN Sustainable Development Goals related to health and well-being. Current collaborations span multiple European institutions with active networks in emergency medicine, microbiology, and critical care research. As Principal Investigator on the RifRSA study funded by Maggie Stephens Foundation, she leads research on Staphylococcus aureus resistance patterns during latent tuberculosis treatment. Her work demonstrates significant media engagement with coverage in 2 news outlets, 12 X platform discussions, and 13 Mendeley readers for key publications. She maintains active laboratory work through Infect@LU with focus on bacterial genomics and clinical outcomes research. Current projects investigate longitudinal infection patterns in vulnerable populations and biomarker development for emergency department risk stratification.