Lars Davidson is a Professor in the Department of Fluid Dynamics at Chalmers University of Technology. His research focuses on numerical simulations of fluid flow and heat transfer, with an emphasis on turbulence modeling for Large Eddy Simulation (LES) and hybrid LES/RANS methods. He has developed computational codes CALC-BFC and CALC-LES based on finite-volume techniques, and recently integrated machine learning to enhance wall functions and turbulence models. Key projects include Hybrid LES/RANS for wall-bounded flows Machine learning applications in fluid dynamics Aeroacoustic noise reduction in automotive and aerospace systems Wind turbine load analysis in forested regions . His publications span 302 articles in journals and conferences, with recent work on Neural networks for turbulence closure Plasma actuators for drag reduction Lattice Boltzmann wall-modeled LES . Collaborations include teams at Volvo, Siemens, and international research groups.
Jonny Holmström serves as Professor at Umeå University's Department of Informatics and directs the Swedish Center for Digital Innovation (SCDI), which he co-founded. He holds an additional affiliation as Professor at the Centre for Transdisciplinary AI, focusing on bridging theoretical research with practical AI applications across sectors including forestry, banking, and public services. His work appears in premier journals such as MIS Quarterly, Information Systems Journal, and Journal of Information Technology. His research centers on digital innovation, transformation, and entrepreneurship, examining how organizations navigate digital change through platform governance, AI integration, and entrepreneurial storytelling. Recent work investigates generative AI's impact on business model design, data work practices, and organizational transformation, emphasizing practical frameworks for managing digital transitions while addressing resistance and ethical considerations. Analysis of his 15 most recent publications (2024-2026) reveals a dominant focus on generative AI's organizational implications, particularly its role in reshaping platform governance, facilitating innovation through prompting, and transforming business models. Concurrent themes include digital platform evolution, data flow management in innovation networks, and citizen-centric digital government design, reflecting a consistent emphasis on practical implementation challenges in real-world contexts. Holmström leads significant research initiatives including a 28 MSEK program at Umeå University and the Kempe Foundation-funded SCDI AI Business Lab. His current project 'Using No-Code AI to Teach Machine Learning in Higher Education' (2024) aims to democratize AI education. He serves on editorial boards for CAIS, EJIS, Information and Organization, and JAIS, and heads the Swedish Center for Digital Innovation research group while participating in 'AI and society' collaborations. He founded and directs the Swedish Center for Digital Innovation (SCDI), which operates the SCDI AI Business Lab exploring practical AI applications for businesses. His work integrates with the Centre for Transdisciplinary AI to advance cross-sector AI implementation, particularly in public services and sustainable business models within the circular economy framework.
Johan Sidén is a Lecturer and Associate Professor at Mid Sweden University , employed in the Department of Computer and Electrical Engineering (DET) . His work focuses on RFID technology , antenna design , and printed/flexible electronics , with a particular emphasis on industrial IoT and welfare technology applications. Research Keywords : Radio Frequency Identification, Antenna Design, Flexible Electronics, Wireless Sensor Networks, Microwave Engineering, Electronic Design Key Projects : DRIVEN (data-driven industrial transformation), SmartArea (functional surfaces), Pressure (ulcer monitoring), MakeSense! (welfare technology) Publications : 15+ recent works on wearable antennas, smart packaging, UWB antenna design, and RFID sensor integration Collaborations include partnerships with industrial and academic institutions, focusing on sustainable electronics, sensor systems, and smart infrastructure. His technical expertise spans antenna optimization , printed circuits , and edge computing for harsh environments.
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.
Laura Korhonen is a Professor of Child and Adolescent Psychiatry at Linköping University , serving as Head of Department of Biomedical and Clinical Sciences (BKV) and leading the national knowledge center Barnafrid . She is affiliated with the Center for Social and Affective Neuroscience (CSAN) and actively contributes to research on child mental health, trauma, and violence prevention. Professor in Child and Adolescent Psychiatry Head of Department of Biomedical and Clinical Sciences Director of Barnafrid National Knowledge Center Active in Center for Social and Affective Neuroscience Teaching roles in medical and psychotherapy programs Her research focuses on psychotic symptoms in children , biomarkers for mental illness , and mental health in refugee populations . She examines the impact of trauma, digital media use, and violence on child development, advocating for early interventions and cross-sector collaboration. Recent publications highlight her work on refugee youth mental health , challenges in ICD-10 coding for child maltreatment , and associations between digital media usage and adolescent well-being . Her team applies mixed-methods approaches to understand non-suicidal self-injury cessation and participatory research methods across Europe. Scientific Awards: Co-investigator in SEK 30 million Forte Council grants (2022) Laura leads Barnafrid , Sweden's national center for child violence prevention, and collaborates internationally through networks like COST Action 19106 . Her work informs European policy guidelines and crisis response frameworks for children in conflict zones.
Kavot Zillén is an Associate Professor and University Lecturer in Public Law at Stockholm University's Department of Law. With a focus on Medical Law and Human Rights in Healthcare, their work explores the intersection of freedom of religion and conscience , right to health , and non-discrimination . Previously a lawyer at Swedish healthcare regulatory bodies, they now lead research at the Children's Rights Centre and teach Public Law Social Law Medical Law . Research Interests include Religious Freedom in Secular Healthcare and Education Children's Right to Health and Welfare Legal Frameworks for Migrant and EU Citizens . Their work often addresses ethical dilemmas in medical decision-making and legal responses to pandemics like COVID-19 . Recent Publications focus on coercion in healthcare , rights of migrant children , and religious freedom in public institutions . These span journals like Nordisk socialrättslig tidskrift and edited volumes on Medical Law and Children's Rights . Awards include Yale University Interdisciplinary Center for Bioethics – Excellence in Teaching Diploma (2018) . They also received significant research funding from the Swedish Research Council and Stockholm University's cross-disciplinary initiative on Children, Migration, and Integration . Collaborations involve IMPACT (Uppsala University), Lund's Health Law environment, and international networks in Biomedical Law. Media appearances include SVT and Läkartidningen on topics like abortion access and conscientious refusals in healthcare .
Summary Pawel Andrzej Herman is an Associate Professor at the Division of Computational Science and Technology within the School of Computer Science and Communication (CSC) at KTH Royal Institute of Technology. His research focuses on computational neuroscience, brain-inspired AI, and machine learning applications in healthcare and cognitive science. He teaches multiple courses including Artificial Neural Networks and Deep Architectures , supervises degree projects across computer engineering and electrical engineering disciplines, and actively contributes to interdisciplinary research initiatives. His work bridges theoretical neuroscience with practical AI solutions, emphasizing synaptic plasticity models, neuromorphic computing, and medical diagnostic systems. Key areas include olfactory perception modeling, working memory mechanisms, and FPGA-accelerated neural networks. He collaborates internationally on projects such as AI-driven medical imaging and cognitive neuroscience studies. Dr. Herman’s research has been published in high-impact journals and conferences, with recent contributions to understanding neural mechanisms of odor naming deficits, beta/alpha oscillations in working memory, and spiking neural network architectures. His technical leadership spans HPC frameworks like StreamBrain and interdisciplinary tools for scientific data storage (NoaSci).
Nadeem Abbas is a Senior Lecturer at the Department of Computer Science and Media Technology, Faculty of Technology, Linnaeus University, Sweden. He earned his PhD in Computer and Information Science from Linnaeus University and has been working with software systems since 2001. His primary research interests include Self-Adaptive Software Systems, Dynamic Software Product Lines, Software Reuse, Requirements Engineering, Software Architecture and Design, and Architectural Analysis and Reasoning. He is actively involved in multiple research groups including: AdaptWise - focusing on foundations and engineering of self-adaptive software systems Engineering Resilient Systems (EReS) Research Lab - investigating system resilience Smart Industry Group (SIG) - an interdisciplinary group focusing on production and product innovation His recent publications show a strong trend in self-adaptive systems with expansion into health inequality research and environmental monitoring applications. His work bridges theoretical software engineering with practical industrial applications, particularly evident in his survey of industry practices in self-adaptation. Nadeem teaches several courses including: 1DV532 - Starting Out with Java 1DV533 - Structured programming with C++ 1DV534 - Object-Oriented Programming with C++ 2DV600 - Foundations of Software Technology 4DV610 - Adaptive Software Systems 2DV604 - Software Architectures 1DV607 - Object-Oriented Analysis and Design using UML He currently supervises multiple research projects related to self-adaptive systems, architectural analysis tools, and health inequality mitigation through digital solutions. His research portfolio demonstrates strong connections between academic research and practical industry applications, particularly in software architecture and adaptation techniques.
Emil Björnson is a Professor of Wireless Communications and Head of the Communication Systems Department at KTH Royal Institute of Technology since 2024. He received his Master of Science in Engineering Mathematics from Lund University (2007) and PhD in Telecommunications from KTH (2011). After postdoctoral work at SUPELEC, France (2012-2014), he held faculty positions at Linköping University (2014-2021) before returning to KTH in 2020. Research Focus: MIMO communications, reconfigurable intelligent surfaces, radio resource allocation, machine learning for communications, and energy efficiency Editorial Roles: Editor for multiple IEEE transactions and magazines His research has significantly advanced wireless communication technologies, particularly in Massive MIMO and cell-free systems. He has authored four textbooks, including Massive MIMO Networks (2017) and Introduction to Multiple Antenna Communications and Reconfigurable Surfaces (2024). Scientific awards include: IEEE Fellow Clarivate Highly Cited Researcher Wallenberg Academy Fellow Digital Futures Fellow Multiple IEEE and EURASIP awards (2014-2024)
Hamed Nemati is an Assistant Professor at the Division of Network and Systems Engineering under the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He was previously a Visiting Assistant Professor at Stanford University and a Research Group Leader at the Helmholtz Center for Information Security (CISPA) , where he also worked as a PostDoc and Research Fellow. Education : PhD in Computer Science from KTH Royal Institute of Technology Research Interests : Security of systems software, formal methods and program logics, interactive theorem proving, machine code analysis, applied machine learning Current Projects : Systematic verification of multi-language security protocols, hardware-software co-design for Spectre mitigation, capability-based access control models Scientific Awards : WASP (Wallenberg AI, Autonomous Systems and Software Program) faculty member Teaching Activities : Formal Methods in Security (Fall 2020-2023) at CISPA/Saarland University Digital Forensics and Incident Response (EP2780) (Fall 2024) at KTH
Karl Palmskog is a Lecturer at KTH Royal Institute of Technology in the Division of Theoretical Computer Science and the STEP research group. His work focuses on program verification and proof engineering, with particular emphasis on developing techniques and tools based on proof assistants for constructing functionally correct and secure software systems. Palmskog received his Ph.D. in Computer Science in 2014 from KTH, advised by Mads Dam, and his M.Sc. in Computer Science and Engineering from KTH in 2007. Prior to his current position, he was a postdoc at The University of Texas at Austin and University of Illinois at Urbana-Champaign. His research interests span programming languages, software engineering, and formal verification, with a particular focus on developing techniques and tools based on proof assistants. He is an avid user of the Coq proof assistant for both proving and programming, often complemented by OCaml, and also utilizes HOL4 and other ML family dialects. His work bridges theoretical foundations with practical applications, particularly in the domains of blockchain systems, distributed systems, and automotive software verification. Analysis of his recent publications reveals a strong focus on Coq-based verification, with significant contributions to proof engineering tools and methodologies. His work includes developing tools for regression proving, change impact analysis, mutation testing for Coq projects, and lemma name suggestion using deep learning. There's also a growing trend toward applying formal methods to real-world systems like blockchain protocols and automotive software. Palmskog has been involved in several research projects, including Coq-community Proof Engineering and Distributed Components. His past projects include Trustfull (SSF), Model-based Event Driven Scalable Programming for the Mobile Cloud (NSF), Highly Adaptable and Trustworthy Software (EU FP7), and 4WARD Future Internet (EU FP7). As an educator, Palmskog has served as examiner, course responsible, teacher, and assistant for various courses including Algorithms, Data Structures and Complexity; Degree Projects; Game Theory; Parallel and Distributed Computing; and Programming Paradigms. His work on Chip, a Coq formalization of change impact analysis, demonstrates his commitment to creating practical, certified tools that bridge formal methods with software engineering practice.
Elena Troubitsyna is a Professor of Computer Science with specialization in Software Engineering at KTH Royal Institute of Technology. Her research focuses on developing dependable, autonomous systems that ensure safety and reliability, particularly in complex environments like self-driving cars and drones. She employs rigorous mathematical modeling and verification techniques to address system complexity and real-time adaptability challenges. Her work emphasizes the co-engineering of safety and security in cyber-physical systems, integrating formal methods such as Event-B modeling with AI-driven solutions. Key research areas include cybersecurity for embedded systems, formal analysis of safety-security interactions, and resilient multi-agent systems. Elena has contributed to advancing methods for autonomous system navigation, fault tolerance, and privacy-preserving microservices architectures. Elena has organized international workshops like SENSEI (Safety-Security Interaction) and published extensively on topics such as model-driven engineering, formal verification of critical systems, and optimizing scheduling for distributed computing. Her research bridges theoretical foundations with practical applications, aiming to enhance societal trust in autonomous technologies.
Maths Karlsson is a Professor in Materials Science at Chalmers University of Technology since 2023. Previously, he worked at the European Spallation Source (2008–2011) and held visiting roles at Iowa State University (2004) and UC Santa Barbara (2012–2013). He chairs the Faculty Assembly of the Department of Chemistry and Chemical Engineering and serves on the Chalmers Faculty Senate. His research focuses on functional materials for energy applications, including proton-conducting oxides, metal halide perovskites, and inorganic phosphors. Utilizing advanced neutron and x-ray scattering techniques, his group explores structure-dynamics relationships in materials for devices like solid oxide fuel cells and solar cells. Experimental methods are emphasized, with a focus on developing novel scattering methodologies. Recent publications highlight advancements in optical communications, photonic integration, and machine learning applications in signal processing. Key themes include nonlinear optics, silicon nitride waveguide technologies, and polarization-insensitive receiver designs. His work bridges fundamental materials research with applied photonics for high-speed data transmission and network resilience. Awards: No specific prizes mentioned in the provided texts. Grants and advising details are absent from the data. Research group: Active in Chalmers' Department of Chemistry and Chemical Engineering, focusing on materials for energy and photonics. Collaborations include Institut Laue-Langevin and industry partners.
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
