Roles & Affiliations: Professor in Dependable Software Engineering at Mälardalen University (MDU), leading the Dependable Software Engineering research group. Former Head of Software Test & Reliability Engineering at Indian Space Research Organization (ISRO), Director of BITS Pilani KK Birla Goa Campus (Mar 2015–Aug 2016), and Visiting Researcher at Ericsson since 2022 (funded by SSF's strategic mobility program). Education: PhD in Computer Science from University of York, UK (1997), focusing on schedulability analysis of fault-tolerant systems (awarded Commonwealth Scholarship). Research Interests: Real-time systems, dependability, software engineering, safety-critical systems, cybersecurity, and industrial IoT. Key focus areas include fault-tolerant scheduling, safety-critical software design, and system-of-systems analysis. Funding & Projects: Led major EU projects (InSecTT, SUCCESS, DAIS, EUROWEB series) and national initiatives. Coordinated large EU educational collaborations with Western Balkans/Asia. Active in projects like FORA fog computing platform and TSN networks. Awards & Recognition: 6 Best Paper Awards, Senior Member of IEEE, and frequent contributor to conference program committees (ETFA, HASE, DATE, etc.). Grants & Labs: Recipient of SSF strategic mobility funding. Research group develops solutions for automotive systems, industrial automation, and safety-critical infrastructure.
Gordana Dodig-Crnkovic holds concurrent professorial roles at Mälardalen University (Computer Science, School of Innovation, Design and Engineering) and Chalmers University of Technology (Interaction Design). She earned PhDs in Physics and Computer Science, specializing in Morphological Computation, Information Ethics, and Technology Ethics. Her research bridges computational systems with ethical frameworks, particularly focusing on AI ethics, autonomous systems, and sustainable development. Key research areas include: Ethics of AI and autonomous vehicles Morphological computation theory Information semantics Cognitive sustainability She has published extensively, including seminal books like Ethics of Computing (2006) and edited volumes for Springer/World Scientific. Active in academic governance, she serves on editorial boards for journals like the World Scientific Series in Information Studies and chairs the Chalmers AI Research Centre’s Ethics Committee.
Erik Brolin is a Senior Lecturer in Product Design Engineering at the School of Engineering Science, University of Skövde. He specializes in Digital Human Modeling (DHM), Ergonomics, and Simulation-Based Optimization, focusing on applications in automotive design, industrial production, and human-robot collaboration. His work integrates statistical analysis, anthropometric data, and virtual tools to enhance product design, workplace safety, and user-centered systems. Erik holds a PhD in Engineering (2016) and has authored/co-authored numerous publications in journals and conferences like the International Ergonomics Association (IEA) and the Digital Human Modeling Symposium (DHM). He leads and participates in research projects such as TIMEBLY (2021–2024) and ADOPTIVE (2021–2024), addressing challenges in ergonomics assessment, digital tool development, and sustainable design practices. His research interests include optimizing productivity and worker well-being through multi-objective frameworks, inclusive design for aging populations, and the proactive integration of ergonomics in early product development phases. He has contributed to the development of tools like IPS IMMA, enhancing virtual ergonomics simulations and anthropometric diversity considerations in industrial settings. Erik’s work bridges academic research with industry applications, emphasizing practical solutions for ergonomic challenges across sectors. He also contributes to curriculum development, including courses in Product Design Engineering at both bachelor’s and master’s levels.
Ola Ringdahl is an Associate Professor at the Department of Computer Science, Umeå University, specializing in robotics for agriculture and forestry. He serves as the Director of the MSc program in AI and teaches multiple courses. Research Group: Intelligent Robotics Affiliation: Umeå University, Department of Computer Science His research focuses on developing novel artificial intelligence and machine learning algorithms for autonomous and semi-autonomous robotic navigation, industrial manipulator path planning using 3D localization, and perception algorithms for semantic data extraction from sensors. Projects include EU initiatives Sweeper and CROPS for fruit harvesting robots. Publications highlight applications in precision agriculture/forestry and sensor fusion. Recent publications analyze advancements in agricultural robotics using machine learning, human-robot interaction via multi-camera systems, and grape vine detection with RGB-D data. The majority of his work addresses outdoor environments and sensor-driven decision-making in autonomous systems. Key Collaborators: Polina Kurtser, Thomas Hellström, Yael Edan Ola leads the Intelligent Robotics group and has participated in long-term projects like PRECISION (2018-2021), SOCRATES (2016-2020), Sweeper (2015-2018), and CROPS (2010-2014). His work combines academic research with practical implementation in real-world agricultural and forestry settings.
Josef Ström Bartunek serves as a Senior Lecturer in the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden, where his research centers on systems engineering with specialized focus in biometric image analysis and computer vision. Education PhD in Systems Engineering, Blekinge Institute of Technology (2016) - Dissertation: FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION Research Focus Dr. Bartunek's work spans biometrics (fingerprint/iris recognition), forensic image analysis, and industrial computer vision. His fingerprint enhancement algorithms address noise reduction and feature extraction challenges, while recent research extends to surface topography analysis in manufacturing quality control. The VISIR open lab platform publications demonstrate his secondary interest in remote engineering education technologies. Publication Trends His 15 most recent publications (2004-2020) reveal an evolution from core biometric algorithm development (2004-2013) toward industrial applications (2016-2020). Early work centered on fingerprint minutiae extraction and neural network applications, while post-2016 research increasingly addresses forensic image resolution and manufacturing process monitoring through camera-based systems. Scientific Awards No scientific awards or fellowships were documented in the available sources. Advising and Grants No information regarding graduate student supervision, research grants, or funded projects was provided in institutional records. Laboratory Affiliations No specific laboratory teams or research groups were mentioned in the current affiliation details.
Andreas Larsson serves as an Associate Professor at the Department of Mechanical Engineering at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He divides his time between his academic position and a vice-chancellor's assignment regarding strategic partnerships at the university. His primary research focus is in Product Development and Innovation Engineering within the Product Development Research Lab. Dr. Larsson's research interests span across several interconnected domains in engineering design and innovation. He specializes in Product-Service Systems (PSS) design, with particular emphasis on value-driven approaches to creating smart, integrated solutions. His work in Design Thinking explores how collaborative processes can enhance innovation outcomes, especially in global contexts. He has made significant contributions to Design for Wellbeing, investigating how engineering design can improve user experiences and address societal challenges. His research in User Experience Design focuses on creating more intuitive and effective interactions between users and complex engineering systems. Additionally, he explores Innovation Engineering methodologies that bridge theoretical frameworks with practical implementation in industry settings. Dr. Larsson's publication record reveals a strong focus on the transformation of traditional manufacturing toward service-oriented business models, particularly through digital technologies. His recent work (2023-2025) shows increasing emphasis on digital twins, natural language processing applications, and value co-creation frameworks in product-service system design. A notable trend is his exploration of global innovation processes, examining how distributed teams can overcome communication barriers to achieve breakthrough innovation. His research consistently bridges academic theory with practical industry applications, particularly in the automotive sector where he has conducted multiple case studies on smart product-service system implementation. Dr. Larsson actively collaborates with industry partners and has participated in numerous research projects including S3 Kickstart, RESIST, and Deep Tech programs focused on climate change resilience and technological innovation. His work demonstrates a commitment to translating academic research into practical solutions for real-world engineering challenges.
Cristian Bogdan is a Professor at KTH Royal Institute of Technology, Stockholm, within the Media Technology and Interaction Design division. His work focuses on human-computer interaction, interaction design, and human-centered software engineering, with the goal of making complex technologies accessible and actionable for people. Education & Courses: While explicit degrees are not listed, Bogdan has extensive teaching responsibilities. He is the examiner for seven advanced-level degree-project courses and teaches or coordinates courses such as Advanced Interaction Programming (DH2643) , Interaction Programming and Dynamic Web (DH2642) , and Software Development for Interactive Media (DM1595) . He founded the course DH2400 Physical Interaction Design and Realization . Research Interests: Bogdan’s research integrates human-computer interaction with sustainable design , virtual and mixed reality , and programming education . He explores how embodied interaction, sonic feedback, and declarative models can create intuitive systems for domains ranging from energy sustainability to public transport and clinical therapy. Publications Trend: His recent articles (2020-2025) reveal a concentration on virtual and mixed reality applications —including locomotion techniques, exposure therapy, and block-based programming in VR—alongside software engineering topics such as dependency bloat and cross-platform frameworks. Sustainability themes appear in studies on energy feedback and inclusive transport. Advising & Grants: Since 2006 he has graduated five PhD students (Kis, Hasselqvist, Rauh, Koller, Hedlund) and co-supervised two others (Sandor, Lundström). Grant details are not disclosed in the supplied text. Labs & Teams: He is affiliated with the MID division (Media Technology and Interaction Design) at KTH, but specific lab names or larger team structures are not provided.
Ingemar Andersson is a Lecturer at Luleå University of Technology in the Department of Computer Science, Electrical and Space Engineering, affiliated with the Digital Services and Systems division. He has taught programming, software architecture, and databases since 2002. Concurrently, he researches at the LDP Centre (Sweden's national digital preservation competence center), where he began as a software/test engineer in 2008 on projects PROTAGE and Test Platform. His industry background includes 8 years as a software developer and project manager. His research centers on digital preservation systems , specifically designing e-services to facilitate the transfer of digital collections to Open Archival Information Systems (OAIS). Key focuses include improving Submission Information Package (SIP) quality, workflow automation for pre-ingest processes, and context-aware preservation management. He developed six novel design principles for pre-ingest systems through EU projects (ENSURE, ForgetIT), emphasizing adaptive SIP generation and policy-aware workflows. Recent publications explore AI applications in education and digital preservation automation, reflecting interdisciplinary work bridging information systems and archival science. No awards or grants are documented.
Alessandro Vittorio Papadopoulos is a Professor of Electrical and Computer Engineering at Mälardalen University (MDU) and a QUALIFICA Fellow at the University of Málaga's Institute for Software Technology and Software Engineering. His research focuses on modeling and control of interconnected systems under uncertainty, integrating Control Theory with Embedded Systems , Distributed Systems , and Real-Time Systems . He has served as a Scientific Advisor for companies like ABB and Zero Point Technologies. Education: PhD from Politecnico di Milano (2013), supervised by Alberto Leva; Postdoctoral work at Politecnico di Milano and Lund University's Department of Automatic Control under Karl-Erik Årzén. Research Trends: His articles emphasize Swarm Robotics , Stochastic Scheduling , Privacy-Preserving Control , and Edge-Cloud Continuum . Key subfields include Distributed Control , Uncertainty Modeling , Real-Time Optimization , and Secure Communication . Awards: He received the Most Influential Paper Award at SEAMS 2025, QUALIFICA Fellowship , and Outstanding Paper Award at ECRTS 2021, alongside a Best Artefact Award in 2017. Advising: Supervised PhD theses by Anna Friebe and Daniel Bujosa Mateu. Labs & Collaborations: Affiliated with the Lund Center for Control of Complex Engineering Systems (LCCC) and MDU's research groups.
Magnus Haake is an Associate Professor in Cognitive Science at the Department of Philosophy, Lund University. He has been a researcher at the Department of Cognitive Science (LUCS) since 2012, following his doctoral studies and research at the Department of Design Sciences at Lund University from 2000-2011. Haake is affiliated with the Educational Technology Group (ETG) and participates in the Communication and Cognition Profile area as well as the LU Profile Area: Natural and Artificial Cognition. His educational background includes: Artistic and graphical education in Sweden and USA MSc in Engineering Physics from Lund University PhD in Design Sciences from Lund University Scholarship at University of California, San Diego (UCSD) Haake's research focuses on the intersection of cognitive science and educational technology, with particular emphasis on classroom-based learning environments. His work investigates how students, teachers, and learning materials interact within educational contexts, with special attention to the added value of educational technology. He explores how digital tools can support cognitive processes like attention and perseverance in diverse student populations, particularly in early childhood education settings. His approach integrates perspectives from cognitive science, social psychology, and interaction design to develop and evaluate educational interventions that are both scientifically grounded and practically applicable. His extensive publication record demonstrates a consistent focus on educational technology applications, particularly examining teachable agents, feedback mechanisms, and multimodal learning environments. The research shows progression from foundational work on virtual characters and pedagogical agents to more recent studies on attention scaffolding, information literacy, and the impact of educational interventions during the pandemic. A notable trend is the increasing focus on inclusive education approaches that combine adaptive instruction with universal design principles. Haake has received recognition through his involvement in significant research projects: TELEB: Technologically Enhanced Language learning and its Effect on the Brain (2021-2025) Learning, Context and Transfer: Exploring Constraints and Affordances in the Virtual and Digital Age (2019-2024) Virtuellt klassrum som forskningsplattform (2016-2021) Supporting Students' Productive Choices When Learning Gets Difficult (2015-2018) Påverkan av icke-verbala faktorer och omgivningsfaktorer på barns förståelse (2014-2019) He has supervised several doctoral students, including Jens Nirme in Cognitive Science, and served as assistant supervisor for E.-M. Ternblad's dissertation on "Learning, Context and Transfer." His supervisory approach emphasizes the integration of cognitive science principles with practical educational applications. Haake has also led multiple research projects examining how educational technology can support learning processes, particularly focusing on feedback mechanisms, attention management, and the role of multimodal communication in educational contexts. Haake is actively involved with the Educational Technology Group (ETG) at Lund University Cognitive Science (LUCS), which serves as a hub for interdisciplinary research connecting cognitive science with educational practice. His work often involves collaboration with researchers from psychology, linguistics, and educational sciences to develop and evaluate technology-enhanced learning environments. Recent projects have explored virtual classrooms as research platforms and the impact of non-verbal factors on children's comprehension.
Lara Laban is a PhD Researcher affiliated with Lund University's School of Aviation (LUSA) and the Department of Automatic Control at Lund University. She is part of the LTH Profile Area: AI and Digitalization and the ELLIIT initiative. Her research focuses on enhancing autonomous UAV mission planning, integrating modified RRT* algorithms with non-linear model predictive control (NMPC) for obstacle avoidance in complex environments. Education and Background: Lara’s academic journey includes studies in automatic control and robotics, though specific degree details are not provided. Collaborations include WARA Public Safety, where she conducted autonomous flight demonstrations in locations like Gränsö Slott and Lund Golf Course. She is also a WASP (Wallenberg AI, Autonomous Systems and Software Program) affiliated PhD student. Research Themes: Her work bridges automatic control and artificial intelligence, addressing challenges in autonomous UAV navigation, beyond visual line-of-sight (BVLOS) operations, and airspace integration with manned/unmanned aircraft. Key technical areas include path planning, nonlinear systems, and real-time optimization. Teaching and Outreach: Lara has been a teaching assistant for courses such as Automatic Control Basics (FRTF05), Non-Linear Systems (FRTF05), and the project course FRTN70. She co-supervised a master’s thesis on minimizing network utilization in multi-agent systems. She contributed to the Robotics Week for Schools 2023 and organized an AI Lund Lunch seminar on UAV path planning. Labs and Projects: Active in the RobotLab LTH and the UAS@LU project (2021–2025), focusing on autonomous flight systems. Her research involves field experiments at LTH Kemicentrum and collaboration with industry partners like WARA Public Safety.
Christer Fuglesang is a Professor of Space Travel at KTH Royal Institute of Technology since April 2017, having previously served as an adjunct professor on secondment from the European Space Agency. He directs the KTH Space Center, established in 2014. His research focuses on particles in space, including radiation studies on the International Space Station (ISS) and projects like JEM-EUSO to detect ultra-high energy cosmic rays. He oversees the AeroSpace Master program and teaches courses such as Human Spaceflight (SD2905). His work involves advanced UV imaging from space, detector calibration, and space mission development. Fuglesang also contributes to initiatives like EUSO-SPB2 and EUSO-TA, exploring cosmic phenomena and space technology applications. His roles include examiner and course leader for multiple programs, emphasizing interdisciplinary education and research. Research Interests: Ultra-High Energy Cosmic Rays (UHECR) detection Space radiation environment and ISS-based experiments UV imaging and fluorescence telescope technology Space mission design and instrumentation Solar geoengineering and planetary sunshade concepts Labs & Teams: Active in the KTH Space Center, collaborating with the JEM-EUSO and EUSO collaborations. Engaged in interdisciplinary projects involving particle physics, astrophysics, and aerospace engineering.
Panos Papadimitratos is a Professor at KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty's Division of Software and Computer Systems. He leads the Networked Systems Security Lab and is part of the Trust Working Group. His research focuses on cybersecurity in vehicular systems, global navigation satellite systems (GNSS), edge AI applications, and privacy-preserving technologies. Education details are not explicitly stated in the provided text, but his extensive work suggests expertise in computer science, networking, and security systems. His research interests emphasize resilient communication protocols, secure authentication mechanisms, and adversarial machine learning applications. Recent publications highlight advancements in vehicular network security, GNSS spoofing detection, and AI-driven cybersecurity solutions. His work addresses challenges like DoS resilience, decentralized privacy, and large language model safety filters. Awards and grants are not explicitly listed here, but his prolific publication record indicates sustained research funding. He collaborates with RISE Research Institutes and Stockholm University through Digital Futures, focusing on societal challenges in digital technology development. Papadimitratos is involved in developing secure vehicular communication frameworks (e.g., VPKIaaS), privacy-enhancing mix-zones for location anonymity, and hardware-based GNSS attack mitigation systems. His lab's innovations include tools like RTKiller for GNSS rover control and statistical methods for spoofing detection.
Björn Olofsson is an Associate Professor and Senior Lecturer in the Department of Automatic Control at Lund University's Faculty of Engineering. He also serves as the Director of First and Second Cycle Studies and is a Project Manager. He is affiliated with major research initiatives including ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and WASP (Wallenberg AI, Autonomous Systems and Software Program). His academic affiliations span Lund University and Linköping University, where he was appointed Docent in 2020. He holds an M.Sc. in Engineering Physics and a Ph.D. in Automatic Control, both from Lund University. His academic journey reflects a strong foundation in engineering and control systems. His research focuses on the autonomy of robots and vehicles, with emphasis on motion planning and optimal motion control. He explores applications in ground vehicles, unmanned aerial and surface vehicles, and industrial robotics. His work intersects with key global challenges, including sustainable transport and digitalization, aligning with UN Sustainable Development Goals related to technology and health. The 15 most recent publications analyzed show a consistent trend in autonomous systems, predictive control, and robotics. Topics include uncertainty-aware motion planning, human-robot collaboration, maritime autonomy, and learning-based control. The research integrates AI, machine learning, and advanced control theory, applied across aerial, marine, and terrestrial domains. Björn actively supervises multiple PhD students and has led numerous research projects, such as ELLIIT B14 and the Center for Construction Robotics. He is involved in organizing academic events like Robotics Week for Schools and manages the RobotLab LTH infrastructure. He has taught a range of courses including Applied Robotics, Autonomous Vehicles, and graduate-level courses on motion planning and optimal control. He also supervises Master’s theses in Automatic Control and Vehicular Systems.
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.
