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Özer Özkahraman is a postdoctoral researcher at the Division of Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology. He works under Ivan Stenius and John Folkesson, focusing on underwater mission planning, simulation, and integration of autonomous systems. His email is ozero@kth.se . He completed his PhD at KTH under Petter Ögren, researching large-scale multi-agent coverage planning for autonomous underwater vehicles (AUVs). Current projects include the SMaRCSim multi-domain simulation platform and development of underwater vehicles like LoLo, SAM, and Evolo. Research interests span autonomous underwater systems, multi-agent coordination, control systems, and simulation infrastructure. He emphasizes modular, accessible frameworks for vehicle testing and real-world deployment. His work bridges theoretical methods (e.g., control barrier functions) with practical applications in marine robotics. Publications focus on AUV navigation, environmental sensing, and adaptive control. Projects like Real2Sim aim to align simulation with real-world vehicle dynamics using motion capture data. He collaborates internationally on topics like data-driven damage detection and model compression for resource-constrained robots. No academic awards are explicitly mentioned. He actively seeks collaborators for projects in sonar simulation, flow field modeling, and cyber-physical system integration.

• Autonomous Underwater Vehicles (AUVs)
• Multi-Agent Systems
• Robotics
• +6 more

Anders Karlström is a Professor at KTH Royal Institute of Technology, specializing in Transport Modelling and Economics. His research focuses on sustainable transportation systems, emissions reduction, and energy efficiency. Key interests include activity-based modelling, dynamic discrete choice frameworks, and policy analysis for urban mobility. He has contributed to studies on travel behavior, infrastructure planning, and environmental impacts of transport systems across multiple international cities. His work integrates advanced methodologies such as recursive logit models, spatial regression, and machine learning for predictive analytics. Notable research areas involve evaluating weather variability effects on travel patterns, optimizing traffic state estimation with sensor data, and developing scenario-based models for future employment growth. Karlström collaborates with industries to enhance the competitiveness of sustainable transport solutions globally.

• Transport Modelling
• Economic Analysis of Transport
• Sustainable Transportation
• +3 more

Jorge Gil is an Associate Professor in Urban Analytics and Informatics at Chalmers University of Technology's Department of Architecture and Civil Engineering. His research focuses on integrated urban models, Smart Cities, City Information Modelling (CIM), and Urban Digital Twins, with applications in sustainable mobility, social inclusion, energy transition, and circular economy. He develops GIS solutions and open science methodologies. Teaching includes GIS, sustainable mobility, and spatial data science courses. He supervises Bachelor, Master's, and PhD students. Current projects include LogiNets (logistics network flows analysis), ComCy (cycling safety), and FlowSense (traffic flow data). Key research outputs span agent-based modeling of waste sorting behavior, mobility equity analysis, and multimodal urban network frameworks. He co-authored over 50 publications and actively contributes to interdisciplinary urban planning initiatives.

• Urban Analytics
• Urban Informatics
• Smart Cities
• +12 more

Morteza Haghir Chehreghani is a Professor of Artificial Intelligence and Machine Learning at the Data Science and AI Division of Chalmers University of Technology , Sweden. He leads the Machine Learning and Decision Making Lab and is affiliated with WASP , CHAIR , and ELLIS . Education : PhD in Computer Science (2014) from ETH Zurich under Prof. Dr. Joachim M. Buhmann Prior Roles : Staff Research Scientist at Naver Labs Europe (2014-2018) Research spans Interactive Machine Learning , Sequential Decision Making , Federated Learning , Efficient Deep Learning , and Graph-Based Learning . Key application areas include Transport , Autonomous Systems , Energy , Drug Discovery , and Computational Biology . Selected Publications (2020-2025) demonstrate expertise in Reinforcement Learning for drug design, Minimax Distance Measures for clustering, and Graph Neural Networks for trajectory analysis. Current work focuses on Combinatorial Bandits and Human-in-the-loop AI . Teaching includes graduate courses like Advanced Topics in Machine Learning (DAT441/DIT41), Algorithms for Machine Learning (TDA233/DIT382), and PhD-level Advanced Reinforcement Learning . He has also taught Statistical Methods for Data Science and Theoretical Foundations of ML . Patents include systems for Autonomous Vehicle Motion Control , K-NN Search via Minimax Distances , and Trip Prediction Algorithms . Collaborative projects involve Nature Communications (2022) and multiple ICML / CVPR publications.

• Machine Learning
• Decision Making
• Reinforcement Learning
• +17 more

Franziska Klügl is a Professor in Computer Science at Örebro University's Faculty of Business, Science and Engineering, affiliated with the Center for Applied Autonomous Sensor Systems (AASS). She currently leads the KKS-funded TeamRob project on Human-Robot Teamwork and serves as Deputy Dean of the faculty since January 2023, chairing the academic appointment committee. Previously, she headed the Computer Science department (2020-2022) and served on the faculty board (2019-2022). Her research focuses on: Multi-agent systems : Development of languages, processes, and tools for agent-based simulation Interdisciplinary applications : Transportation, economics, epidemics, production, and mining simulations Simulation engineering : Integrating AI, machine learning, and formal methods to create accessible modeling tools for domain experts She created SeSAm , a visual programming tool for agent-based simulation that enables rapid prototyping of complex models. Analysis of her recent publications reveals three dominant themes: Human-robot collaboration frameworks and intention recognition systems Economic impacts of automation on labor markets and engineering services Advanced simulation methodologies using affordance theory and reinforcement learning She teaches software engineering, multi-agent systems, and agent-based modeling across multiple programs, including the WASP AI&ML PhD course. She leads research groups at the Machine Perception and Interaction Lab and oversees the TeamRob human-robot teamwork project.

• Multi-Agent Systems
• Agent-Based Simulation
• Artificial Intelligence
• +4 more

Georgios Andrikopoulos is an Assistant Professor at KTH Royal Institute of Technology's Department of Industrial and Environmental Management (ITM), affiliated with the Digital Futures Faculty. He serves as Co-Principal Investigator (Co-PI) on the 'Real-time exoskeleton control for human-in-the-loop optimization' project, focusing on advanced robotics and human-technology interaction. His research spans soft robotics, exoskeleton systems, and adaptive climbing robots, with applications in healthcare, aerospace, and education. Key projects include: "Connecting Bodies – Designing Shape-changing Wearables" (Postdoc Fellowship, 2023–2025) "Advancing real-time exoskeleton control for human-in-the-loop optimization" (Demonstrator Project) SEC scholar collaboration with Mohamed Elbadawi (May–June 2024) Research interests emphasize: Soft robotic actuators for safe human interaction Optimization of compliant mechanisms in robotics Vortex adhesion systems for autonomous inspection Design of child-friendly interactive robots His work integrates robotics with control systems, biomechanics, and human-centered design. Over 50 peer-reviewed articles demonstrate contributions to exoskeleton technology, climbing robot algorithms, and soft actuator modeling. He advises students like Laia Turmo Vidal (Postdoc) and Mohamed Elbadawi (SEC scholar). Affiliated with the cross-disciplinary Digital Futures initiative, he collaborates with Stockholm University and RISE Research Institutes to address societal challenges through digital innovation.

• Robotics
• Biomedical Engineering
• Control Systems
• +4 more

Anna Jon-And is a Researcher and Director of the Center for Cultural Evolution at Stockholm University , affiliated with the Department of Psychology . Her interdisciplinary work bridges linguistics , cognitive science , and cultural evolution , focusing on how sequence representation , language contact , and computational models explain the emergence of human language and its unique properties. Research Interests include: Language evolution through sequence learning and cognitive constraints Contact-induced language change in Portuguese varieties (Angola, Mozambique, Afro-Brazilian communities) Computational modeling of grammatical structure emergence Comparative analysis of pidgins, creoles, and non-contact languages Neurocognitive prerequisites for language and cultural complexity Publications highlight trends in language evolution models , compositional systems , and cross-linguistic complexity cycles . Her work demonstrates how demographic factors and learnability pressures drive linguistic innovation in multilingual settings. The Center for Cultural Evolution at Stockholm University serves as the primary platform for her interdisciplinary research initiatives.

• Linguistics
• Language Evolution
• Cultural Evolution
• +5 more

Sarah Gillet is a Postdoctoral Researcher at the Division of Robotics, Perception, and Learning at KTH Royal Institute of Technology, where she focuses on developing social robot behaviors to foster collaboration and inclusion in human groups. Her research addresses challenges like in-group favoritism through computational approaches to shape group interactions. She holds a Doctoral Thesis (2024) titled Computational Approaches to Interaction-Shaping Robotics . Her work emphasizes group dynamics , robot-mediated inclusion , and pedagogical robotics , particularly in children and adolescent populations. Key areas include gaze behavior analysis, equitable participation promotion, and social robot roles such as mediators in educational settings. Dr. Gillet teaches the Social Robotics (DD2413) course and supervises master theses. Her recent publications explore robot gaze behaviors for participation balance, socially appropriate listening, and influence prediction models like RoSI. She actively participates in conferences like ACM/IEEE HRI and IEEE RO-MAN. Her research integrates computational methods with social science insights to design robots that actively improve human group interactions, with applications in education, collaboration, and bias mitigation.

• Human-Robot Interaction
• Social Robotics
• Group Dynamics
• +3 more

Professor Tomas Jansson serves as faculty at Lund University's Faculty of Engineering within the Department of Biomedical Engineering, holding concurrent roles as Supervisor, Head of Office for Biomedical Engineering, Project Manager for Medical Ultrasound, Director of Medicon Bridge, and member of both LTH's Engineering Health and LU's Light and Materials profile areas. His research centers on ultrasound-based diagnostic and therapeutic innovations, particularly utilizing iron oxide nanoparticles as ultrasound contrast agents for early cancer detection and surgical guidance. Current work also explores virtual reality systems for mobility assessment in visually impaired populations through the AUDOMNI sensory supplementation project. Key research domains include nanoparticle engineering, ultrasonics, transducer development, and lymph node imaging. Recent publications demonstrate dual research thrusts: (1) advanced ultrasound techniques for gastrointestinal disease diagnosis using ultra-high frequency imaging and nanoparticle-enhanced magnetomotive ultrasound, and (2) virtual reality-based mobility assessment tools with audio feedback systems for blind navigation. These efforts directly support UN Sustainable Development Goals in health and well-being. Professor Jansson actively supervises doctoral candidates including J. Berggreen (AI ultrasound applications) and J. Isaksson-Daun (AUDOMNI navigation system), while securing major funding from the Swedish Research Council and Mrs. Berta Kamprad's Cancer Foundation for prostate cancer nanotechnology projects extending through 2029. He leads the Ultrasound group infrastructure within Biomedical Engineering and participates in academic outreach through initiatives like the Medicinteknik i Skåne conference organization.

• Ultrasound Imaging
• Nanoparticle Engineering
• Medical Diagnostics
• +3 more

Giovanni Forchini is a Professor at the Umeå School of Business, Economics and Statistics (USBE), Umeå University, Sweden. His research focuses on econometrics, panel data analysis, and their applications in health economics and epidemiological modeling. He holds the title of Docent, a Swedish academic qualification reflecting advanced expertise. His work bridges theoretical econometrics with practical policy analysis, particularly in pandemic preparedness and healthcare optimization. Research Themes: Econometric methodologies for panel data and structural equation models Quantifying pandemic impacts on healthcare systems and economies Optimization of resource allocation during public health crises Key Contributions: Developed the DAEDALUS model for integrated economic-epidemiological policy simulations Analyzed SARS-CoV-2 transmission dynamics and vaccine impact in multiple countries Pioneered statistical methods for handling multifactor structures in panel data Awards & Grants: USBSE Pedagogical Prize 2020 Funding from Forte (Swedish Research Council for Health, Working Life and Welfare) and Handelsbanken Teaching & Mentorship: Coordinates Master’s theses in Economics at USBSE Teaches advanced courses like Econometrics 1 & 2 and Analysis of Financial Data

• Econometrics
• Panel Data Analysis
• Health Economics
• +3 more

Jonas Fredriksson is a Professor in the Mechatronics research group at the Department of Systems and Control Engineering, Chalmers University of Technology. His work focuses on electric/hybrid vehicles, vehicle dynamics, active safety systems, and optimization-based coordination of automated vehicles. Academic Rank: Professor Affiliation: Chalmers University of Technology Department: Systems and Control Engineering Email: jonas.fredriksson@chalmers.se Research Themes: Powertrain control and energy management for electric/hybrid vehicles Advanced control strategies for heavy articulated vehicles Autonomous driving in confined environments Battery thermal management and charging optimization Vehicle stability and safety systems using Newtonian mechanics Article Trends: Recent publications emphasize 1) optimization algorithms for electric vehicle coordination, 2) aerodynamic modeling under crosswind conditions, 3) stochastic approaches to longitudinal vehicle dynamics, and 4) robust control systems for articulated heavy vehicles. The work combines classical mechanics with modern machine learning techniques. Teaching & Leadership: Supervises doctoral students and leads research projects in mechatronics. Manages the master's program in Systems, Control and Mechatronics. Teaches courses in mechatronics and vehicle control systems.

• Vehicular Control Systems
• Electric and Hybrid Vehicle Technology
• Vehicle Dynamics
• +4 more

Christopher Jouannet is an Associate Professor and Docent at Linköping University's Department of Management and Engineering (IEI), affiliated with the Fluid and Mechatronic Systems (FLUMES) group. His work focuses on aircraft design, sustainable aviation, and system-of-systems engineering. He holds a position in the Fluid and Mechatronic Systems department, contributing to interdisciplinary research at the intersection of aerospace and systems engineering. Research interests include sustainable aviation technologies, unmanned aerial systems, agent-based simulation frameworks, and ontology-driven system design. His recent work addresses economic viability of regional aircraft concepts, zero-emission transportation strategies in Scandinavia, and technology assessments for defense-related airborne platforms. Publications emphasize innovative approaches to aircraft actuation systems, multi-fidelity modeling integration, and systems-of-systems architectures. His contributions span both academic journals and conference proceedings, with a strong emphasis on applied research impacting aviation sustainability and defense capabilities. Labs/Teams: Active member of the FLUMES research group, collaborating on projects involving conceptual aircraft design, system integration, and advanced simulation methodologies.

• Aircraft Design and Systems
• Sustainable Aviation
• System of Systems Engineering
• +3 more

Mattias Tiger is an Assistant Professor at the Department of Computer Science (IDA) at Linköping University , where he serves as an AI researcher and deputy lab leader for the Reasoning and Learning Lab (ReaL) . His work is supported by the WASP program and focuses on applied AI research in autonomous systems. Roles : Assistant Professor, AI Researcher, Deputy Lab Leader Affiliations : IDA, AIICS, WASP, AI Academy Research Focus : Artificial Intelligence, Robotics, and Autonomous Systems with specialization in motion planning, dynamic obstacle avoidance, and safety-aware AI. His work bridges theoretical foundations with real-world applications, particularly in urban environments and agile flight systems. Key technical areas: Lattice-based motion planning, deep reinforcement learning, 3D exploration algorithms Application domains: Autonomous road sweeping, drone navigation, retail automation Awards : EurAI award for postdoctoral thesis SAIS award for best degree project supervision Collaborations : Works with Professor Fredrik Heintz and colleagues in projects involving robotic platforms like Spot and Elsa. His research has been highlighted during the Royal Couple's visit to Linköping and through grants from the Norrköping Fund for Research and Development.

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +3 more

Meta Berghauser Pont is a Professor of Urban Morphology and Urban Planning at Chalmers University of Technology. She leads the Spatial Morphology Group (SMoG), focusing on quantitative analysis of urban form, space syntax, and design theory. Key research themes: urban density, sustainable cities, social-ecological systems, pedestrian movement modeling Authored the 2023 book Spacematrix: Space, Density and Urban Form , redefining density metrics Her work bridges analytical urban morphology with practical urban planning applications, particularly in noise/air quality management, transport infrastructure, and digital twin city modeling. She manages pedagogical development for architecture programs at Chalmers. Active projects include: Digital Twin Cities Centre (EU/VINNOVA) Sustainable Urban Form (Formas) Green Infrastructure Integration (Mistra Urban Futures) Multi-scale Climate Proofing (VINNOVA) Urban Design Calculator (Naturvårdsverket) Her lab develops open-source tools like the Place Syntax Tool (PST) for morphological analysis of cities.

• Urban Morphology
• Urban Planning
• Space Syntax
• +7 more

Christopher Okhravi serves as Associate Professor at Uppsala University's Department of Informatics and Media, where he focuses on the intersection of public health policy and pharmaceutical economics. His work addresses critical challenges in antibiotic development through innovative policy frameworks and economic modeling approaches. His research centers on antibiotics development policy , pharmaceutical market economics , and simulation modeling of health interventions . Okhravi investigates how market-oriented policy interventions can overcome the economic barriers to antibiotic innovation, with particular attention to market entry rewards and public-private partnership models. His publication record demonstrates consistent focus on antibiotic development challenges, with four major works between 2017-2020. These publications reveal a methodological emphasis on simulation modeling applied to pharmaceutical policy questions, particularly examining how economic incentives could stimulate antibiotic innovation in a market where traditional ROI models fail. Okhravi's work has garnered attention across academic and professional networks, with mentions on social media platforms and readership on scholarly platforms like Mendeley. His research has practical implications for policymakers addressing the global antibiotic resistance crisis, offering evidence-based approaches to reform pharmaceutical innovation incentives. While specific grant information isn't provided in the available text, his work clearly addresses significant public health challenges requiring interdisciplinary collaboration.

• Antibiotics Development Policy
• Public Health Economics
• Pharmaceutical Market Simulation
• +2 more