Cornelia Brantner is a Professor at Karlstad University's Department of Geography, Media and Communication, and coordinates the Centre for Geomedia Studies. She has held previous roles including visiting scholar at Carnegie Mellon University, temporary Professorships at Bremen University and TU Dresden, and research positions at the Austrian Academy of Sciences. Her research focuses on geomedia, visual communication, digital publics, and algorithmic accountability. Current projects include leading the Swedish Research Council-funded initiative on digital infrastructure sovereignty in welfare states. Education and career highlights include a background in communication studies, with expertise spanning media ethics, digital governance, and spatial media analysis. Her work interrogates intersections of online/offline spaces, visibility dynamics, and inequality in digitized environments. Research trends in her publications emphasize algorithmic accountability, AI's role in media ecosystems, and data sovereignty. Key themes include analyzing geopolitical implications of digital infrastructure, tracking visual discourse around climate change via social media, and exploring ethical dimensions of automation and social media algorithms. Her grants and leadership roles reflect a focus on bridging theoretical and applied media studies. Her lab/center, the Centre for Geomedia Studies, advances interdisciplinary research into spatially-oriented digital media practices. Notable collaborations include international teams analyzing Twitter's sociotechnical ecosystems and cross-linguistic political information retrieval systems.
Dr. Muhammad Usman is a Senior Lecturer at the Department of Mathematics and Computer Science, Karlstad University, Sweden. His research focuses on cloud and edge computing, distributed systems, performance observability, DevOps automation, and networked systems. He holds a B.S. from NUST (Pakistan), and integrated M.S./Ph.D. from GIST (South Korea). He teaches master's-level courses in Distributed Systems and Cloud Computing. His research interests include optimizing container orchestration for edge-IoT workloads, developing AI-driven frameworks for industrial IoT (e.g., AIDA), and enhancing observability of distributed systems through frameworks like DESK and SmartX. His work often addresses challenges in resource efficiency, scalability, and fault detection in edge and cloud environments. Notable contributions include benchmarking lightweight container orchestration platforms, designing cost-effective testbeds for DevSecOps, and creating visualization frameworks for SDN-enabled clouds. His publications span topics from IIoT lifecycle management to intent-based network control. Usman actively collaborates internationally, with projects involving institutions like GIST, Aalto University, and the IEEE community. His work bridges theoretical research and practical applications in edge computing and cloud-native systems.
Marina Papatriantafilou is an Associate Professor in the Department of Computer Science and Engineering at Chalmers University of Technology and University of Gothenburg. Her research focuses on distributed computing, fault-tolerance, parallel algorithms, and concurrency control. She has contributed to methods for fault-tolerant distributed systems, visualization tools for distributed algorithms, and scalable overlay networks. Her academic roles include teaching advanced courses on distributed systems, computer communication, and operating systems. She advises graduate students in areas like distributed algorithms and parallel computing. Key research interests include lock-free synchronization, memory reclamation, and self-stabilizing systems. She has authored over 100 publications in top-tier conferences and journals, with recent work on data streaming frameworks, energy-sharing optimization, and vehicular network processing. Professional involvement includes roles in program committees for conferences like OPODIS, SWAT, and SSS, plus membership in research evaluation boards for Swedish and European funding agencies. She pioneered educational tools like the Lydian environment for distributed algorithm visualization.
Philippas Tsigas is a Professor at the Department of Computer Science and Engineering at Chalmers University of Technology. He leads the Distributed Computing and Systems Research Group and has held roles as co-leader of research initiatives such as the PEPPHER project. His research spans distributed/parallel computing, information visualization, and fault-tolerant communication mechanisms. He has supervised numerous PhD students, including Yi Zhang, Håkan Sundell, and Farnaz Moradi. Research interests include lock-free data structures, multicore algorithms, secure network services, and visualization tools like Lydian and DataMeadow. Notable awards include Best Paper Awards at IPDPS 2003 and SNS 2012. His work has been published in top venues like IEEE Transactions on Parallel and Distributed Systems and ACM Journal of Experimental Algorithmics. Awards highlight contributions to lock-free algorithms and network modeling. Students have contributed to projects like NBmalloc (memory reclamation) and GPU Quicksort. Collaborations with institutions like SSF and VR have supported his research. Tsigas is also involved in teaching distributed systems and mentoring early-career researchers.
Martin Servin is an Associate Professor at the Department of Physics, Umeå University, and leads the Digital Physics research group within the UMIT Research Lab. His work focuses on computational modeling and simulation of granular materials, robots, and vehicles, with applications in AI-based control and perception. He holds a doctoral degree from Umeå University (2003) and has pioneered research in real-time physics simulation, particularly in the context of autonomous machinery and off-road robotics. Research Interests : Digital physics, granular materials simulation, autonomous systems, reinforcement learning, and simulation-to-reality transfer. His group develops advanced simulation tools for industries like forestry, mining, and construction. Key Projects : Mistra Digital Forest (2019–2026) AILUR (Digital Twin for AI-controlled Lunar Robotics) XSCAVE (Explainable, Safe Control for Heavy Machinery) Publications emphasize simulation methodologies, AI integration, and real-world validation across robotics, vehicle dynamics, and granular mechanics. Notable contributions include work on wheel loader dynamics, deep reinforcement learning for control systems, and terrain modeling. Awards include the Spin-off award for industry-grade physics in Unreal Engine (2018) , recognizing his role in Algoryx Simulations, a spin-off company commercializing his research. Labs/Teams : UMIT Research Lab, Digital Physics Group, and collaborations with Algoryx Simulations.
Marko Laaksonen is a Professor at the Department of Health Sciences (HOV) at Mid Sweden University, specializing in winter sports biomechanics and performance analysis. He is affiliated with the Swedish Winter Sports Research Centre, focusing on biathlon and cross-country skiing. His research examines physiological responses to training, rifle carriage effects on skiing mechanics, and performance indicators in biathlon. Key areas include exercise intensity distribution, shooting precision, and muscle metabolism during endurance activities. Recent publications analyze biathlon shooting performance under varying conditions, training load measurement, and equipment impacts on athlete efficiency. Over 15 articles demonstrate expertise in winter sports analytics and physiological monitoring.
Helena Forslund is a Senior Lecturer at Linnaeus University's School of Business and Economics, Department of Management. With extensive experience teaching logistics and supply chain management at advanced levels, she serves as research leader for the Supply Chain Studies research group and holds the prestigious position of Senior Editor for the Journal of Business Logistics. Her research focuses on supply chain collaboration, efficiency, and innovation, particularly within the transportation industry, and she has pioneered work on closed-loop supply chains for recycling flat glass. With approximately 120 scientific publications (37 in major journals like International Journal of Operations & Production Management), her work bridges academic rigor and practical application in sustainable logistics. Analysis of her recent publications reveals a strong emphasis on sustainable transportation systems, circular economy applications, and performance measurement frameworks across various supply chain contexts. Her research increasingly addresses paradoxes in green logistics implementation, humanitarian supply chain challenges, and the integration of digital technologies in logistics operations. Senior Editor, Journal of Business Logistics Forslund has secured research funding from diverse sources including TripleF, EU, Vinnova, Kamprad Foundation, Växjö Municipality, and Crafoord Foundation. Her collaborative approach extends to active participation in Logistikföreningen Plan (Swedish APICS society) and numerous cross-institutional research projects addressing sustainability challenges in transportation and retail supply chains. As research leader of the Supply Chain Studies group, she fosters interdisciplinary collaboration focused on sustainable co-creation through practical solutions to complex logistics challenges, particularly in circular supply chains for materials like flat glass and sustainable transportation systems.
Kıvanç Tatar is an Assistant Professor in Interactive AI at Chalmers University of Technology, Sweden. His work bridges Music, Artificial Intelligence, Interactive Arts, and Virtual Reality, creating multimodal AI systems for performances, immersive environments, and generative art. Exhibited globally at events like Ars Electronica (2017, 2020) and Rio Olympics 2016 Founder of the AI in Computational Arts, Music, and Games research group Projects integrate AI with movement computation, VR, and livecoding His research focuses on musical AI , interactive systems , and creative algorithms , with applications in real-time performance, environmental art, and robotics. Recent projects include Koami 2025 (upcoming livecoding), Latent Timbre Synthesis (2021), and Brush of AI (2020 NFT series). Key Collaborations : A.I.D (Istanbul), Gold Saucer (Vancouver) Exhibition Highlights : CHI 2018, Mutek Montreal 2018, Contemporary Istanbul PlugIn 2019
Petter Falkman is an Associate Professor in Systems and Control Engineering at Chalmers University of Technology, where he leads research in the Automation research group. With 68 publications spanning over two decades, his work bridges theoretical control systems with practical industrial applications, particularly in manufacturing and robotics. His research has been supported by major funding bodies including VINNOVA and European Commission projects. Falkman's research primarily focuses on intelligent automation systems, with key contributions in sequence planning, virtual commissioning, and human-robot interaction. His work integrates formal methods with practical industrial applications, developing frameworks like the Sequence Planner for control of intelligent automation systems. His recent publications demonstrate a strong emphasis on data-driven approaches, digital twin technologies, and the application of virtual reality for industrial applications. The research shows a clear trajectory toward increasingly sophisticated integration of human factors with automation systems, particularly through eye tracking and movement prediction technologies. Falkman has led or participated in 10 major research projects from 2011-2025, including CLOUDS (2022-2025) on circular solutions for sustainable production systems, UNICORN (2017-2021) on robotic refuse handling, and several VINNOVA-funded projects on virtual preparation and industrial automation. His collaborative network includes researchers across Chalmers and industry partners like Volvo Group, demonstrating strong industry-academia connections. Falkman has established himself as a key contributor to the development of frameworks for intelligent automation, with particular expertise in translating theoretical control concepts into practical industrial applications. His work on the Sequence Planner framework represents a significant contribution to the field, enabling more efficient preparation and commissioning of automation systems.
Tanja Wiehn is an Assistant Professor in Digital Cultures at the Department of Arts and Cultural Sciences, Lund University. Her research bridges critical algorithm studies , digital culture , and platform studies , with a focus on gendered, racial, and class-based dimensions of algorithmic systems. She teaches in the bachelor’s program in Digital Cultures and the ALM master’s program. Education : PhD in Digital Cultures (2021) from the University of Copenhagen. Her work interrogates the synthetic turn in AI data production , addressing socio-political challenges and aesthetic expressions. Current projects include studying synthetic data’s role in privacy preservation and its cultural implications. Recent publications explore themes like datafication of homes , privacy politics , and machine vision aesthetics . She collaborates internationally on initiatives like the Follow Me project (Danish Independent Research Fund) and Digital Culture Research Cluster .
Niclas Jansson is a researcher at the PDC Center for High Performance Computing at KTH Royal Institute of Technology. He holds an M.S. in Computer Science (2008) and a Ph.D. in Numerical Analysis (2013) from KTH. His career spans roles such as postdoctoral researcher at RIKEN Advanced Institute for Computational Science (2013-2016) and visiting scientist at RIKEN (2018-2021), where he contributed to the Japanese exascale program Flagship 2020. A core focus of his research involves extreme-scale computing and numerical method development. He is a key developer of RIKEN's multiphysics framework CUBE , the HPC branch of FEniCS , and the spectral element flow solver Neko . His work is currently supported by a Swedish Research Council Starting Grant aimed at enhancing high-order spectral element methods for exascale fluid simulations. Niclas has published extensively on topics such as GPU acceleration , adaptive finite element methods , in situ visualization , and extreme-scale turbulence modeling . He also teaches Computational Fluid Dynamics (SG2212) at KTH.
Alice Haynes is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, working on the Felt Connections project under the Division of Media Technology and Interaction Design . She collaborates with Prof. Kristina Höök and Associate Prof. Iolanda Leite to create shape-changing textile interfaces that foster meaningful bodily interactions for children and adults. Education PhD in Engineering Mathematics, University of Bristol (2022) Specialization in Soft Robotics and Haptic Interfaces Her research blends soft robotics, e-textiles, and soma design to develop tactile technologies that prioritize bodily engagement over traditional visual/auditory interfaces. Current work explores: first-person design for scoliosis, symmetry-asymmetry dynamics in bodily interactions, and soma-driven methods that emphasize felt experiences. Key article trends include shape-changing textiles (SMA-actuated smocking, machine embroidery), emotional/therapeutic applications (anxiety relief, social touch), and multisensory integration (audio-tactile mappings, biosignal interaction). Scientific Contributions Recipient of Digital Futures Postdoctoral Fellowship Co-design methodologies for child-centered technology Material-driven evaluation frameworks for e-textiles Embodied interaction paradigms through haptic cushions Alice teaches Human-Computer Interaction Research Seminars (DH2632) and Media Technology and Interaction Design (DM2601) , while actively seeking Master's students for collaborative thesis work.
Sandra Pauletto is a Professor in Media Technology specializing in Media Production and a Docent in Sound and Music Computing at the Division of Media Technology and Interaction Design (MID), School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. She joined KTH in 2019 after positions at the University of York and University of Huddersfield in the UK. Her work bridges the gap between artistic sound practices and technological innovation in the field of sonic interaction design. Pauletto holds a Physics degree (MPhys(Hons)) from Manchester and a Music degree in Classical Guitar from Conservatorio "G.Tartini" in Trieste, Italy. She completed her MSc and PhD in Music Technology at the University of York, UK, where her doctoral thesis focused on "Interactive non-speech auditory display of multivariate data." Her interdisciplinary background informs her approach to sound and media research. Her primary research interests focus on sound and music computing, media production, sound design, sonic interaction design, and sonification . She investigates how sound communicates both functional information (e.g., a car door shutting) and aesthetic qualities (e.g., the type of car) in interactive contexts. Her current projects apply these principles to sustainability challenges like energy consumption monitoring and environmental awareness, as well as health communication applications. She has developed methods that combine historical sound design practices with contemporary computing techniques to create more effective sonic interfaces. Analysis of her recent publications reveals a strong trend toward applying sound design to address societal challenges, particularly through projects like SonicFunc (developing sound design methods for everyday life) and SoniHED (Sonification of Health and Environmental Data). Her work increasingly incorporates interdisciplinary approaches, collaborating with experts in astronomy, environmental science, and public health to develop effective sonic interfaces for complex data. She has received funding for significant research projects including: The SonicFunc project (Principal Investigator), developing new sound design methods for the digital society The SCORe Project (Principal Investigator), using sonification to communicate public health risk data SoniHED: Conference on Sonification of Health and Environmental Data (funded by Wellcome Trust) Chronic health issues of adolescents project (funded by Centre for Chronic Diseases and Disorders) As an educator and mentor, Pauletto has served as Principal Supervisor for 5 completed PhD students and is currently Associate Supervisor for 1 PhD student. She has extensive teaching experience across all academic levels and has held management roles including Deputy Head of the MID Division at KTH and Programme Director for the MA/MSc in Postproduction with specialisation in Sound Design. She has also been a member of the Peer Review College for the UK Arts and Humanities Research Council and an expert reviewer for EU FP7 and H2020 programmes. She leads the SonicFunc research group which investigates sound function, aesthetics, and interaction in media production to create effective sonic interaction design for everyday life. Her team includes postdoctoral researchers like Rod Selfridge and PhD students working on projects related to sustainability, health communication, and innovative sound design methodologies. She has also organized multiple conferences including the SoniHED conference series and guest edited special journal issues on data sonification and sound design.
Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.
Christina Grundström is an Associate Professor at Linköping University, affiliated with the Department of Management and Engineering (IEI) and the Industrial Management (INDEK) program. Her research focuses on innovation strategies, SME growth dynamics, and brand management. She holds a PhD from Linköping University and has contributed to numerous academic awards including the Outstanding Reviewer accolade at the Academy of Management (AOM) conferences. Her teaching spans brand management and industrial economics across undergraduate to PhD levels. Current research explores how SMEs achieve growth through strategic renewal and effective brand communication. She is part of the Centre for Business Model Innovation (CBMI), emphasizing business adaptation to societal changes. Key collaborations include studies on successful SMEs and stakeholder influence on brand strategies. Education: Master of Science in Applied Physics and Electronics (LiU, 1988), PhD (2004). Research interests emphasize innovation ecosystems, open innovation in manufacturing SMEs, and strategic brand management. Her work bridges theory and practice through industry collaboration, ensuring educational programs remain industry-relevant. Awards highlight her peer-reviewed contributions to STR, TIM, and BPS divisions at AOM. Advising and grants involve thesis supervision in Industrial Economics and Graphic Design. She contributes to curriculum development in cross-media design and international business models. The CBMI lab focuses on business model innovation and adaptive strategies for modern industries.
