Find Academic Supervisors

• Digital Human Modelling
• Ergonomics Evaluation
• Simulation-Based Optimization
• +5 more

Aitor Iriondo Pascual is a researcher at the University of Skövde's School of Engineering Science , specializing in digital human modeling (DHM) and simulation-based multi-objective optimization (MBOO) for ergonomics and productivity in manufacturing systems. His work bridges industrial engineering with human factors research, focusing on automating ergonomic assessments using motion capture technology and machine learning algorithms. PhD in User-Centered Product Design (University of Skövde, 2023) Active in Virtual Production Development (VPD) and Synergy Virtual Ergonomics (SVE) research profiles Collaborator in international projects like MOSIM and VIVA Key contributor to DHM toolchain development with IPS IMMA and LUA scripting His research interests center on: Integrating motion capture with DHM for objective ergonomic evaluations Automated hand posture classification using random forest algorithms Concurrent optimization of productivity and worker well-being in factory layout design Standardization of 3D body shape prediction models for virtual simulations Machine learning applications in biomechanical exposure assessments Digital twin development for sustainable manufacturing systems Recent publications demonstrate his expertise in combining genetic algorithms with DHM tools for occupant packaging design and logistics area optimization. He has also developed open-source statistical body shape prediction models shared under MIT License on GitHub. Key collaborators include: Prof. Lars Hanson (ergonomics) Dr. Dan Högberg (simulation methods) Dr. Anna Syberfeldt (optimization frameworks) Dr. Erik Brolin (DHM tools) His methodological innovations include: Automating REBA / RULA assessments via motion capture data Developing Pugh's method implementation for DHM concept evaluation Creating cross-disciplinary optimization frameworks for production systems

• Smart Contracts
• Automated Program Repair
• Code Quality
• +2 more

Sofia Bobadilla Ponce is a Doctoral Student at the KTH Royal Institute of Technology , working in the Division of Theoretical Computer Science. Her research focuses on Automated Program Repair for Smart Contracts and improving Code Quality through innovative tools. Civil Engineer in Computer Science (2021–2024) and Bachelor in Computer Science (2017–2021) at University of Chile Research Engineer at KTH (2022–2023) Exchange student at KTH (Spring 2022) Her research spans Smart Contracts , Automated Program Repair , and Software Supply Chain analysis. Recent publications examine exploit mitigation in blockchain systems, LLM-driven program repair, and code smell detection in supply chains. She contributes to education as a course assistant in Algorithms and Data Structures , Automated Software Testing and DevOps , and related fields. Contact: sofbob@kth.se

• Systems Engineering Management
• Project Management
• Quality Management
• +6 more

Joakim Lilliesköld is an Associate Professor at the Royal Institute of Technology (KTH) in the Department of Network and Systems Engineering. His career spans project management, quality management, and systems engineering, with a focus on complex industrial systems including IT and electric power. He has held significant educational leadership roles, directing the Master of Science Program in Electrical Engineering and developing multiple project courses. MSc in Electrical Engineering (1998), KTH PhD in Industrial Systems Engineering (2005), KTH Research interests center on Systems Engineering Management , particularly agile project coordination in complex environments, DFSS, and Lean Product Development. His work emphasizes visual planning tools like the System Anatomy model for shared understanding in mega-projects. Recent research explores digital transformation in academia and industry, with collaborations extending to companies like Saab and Volvo. Key publication trends include agile methodology adoption challenges, international university collaborations, and performance measurement systems. He has co-authored 20+ peer-reviewed articles and 3 books, including Handbook for Small Projects , now in multiple languages. Janne Carlsson's Stipendium for Academic Leadership (2017) KTH Pedagogical Prize (2011) He supervises PhD students in project management and digitalization, while teaching courses on Project Management , Business Development , and Master's thesis projects across engineering disciplines. His work bridges academic research with practical industry applications through seminars and executive programs.

Emre SürenView profile

Researcher

• LLM Security
• IoT Hacking
• Cyber Threat Intelligence
• +6 more

Dr. Emre Süren serves as a Researcher at KTH Royal Institute of Technology within the Division of Network and Systems Engineering and concurrently leads Cybercampus Sweden's Royal Hacking Lab as its Head. His dual roles position him at the forefront of national cybersecurity research with extensive collaborations across EU Horizon projects, Swedish government entities, and international academic institutions. His research spans critical domains including LLM security, IoT hacking, cyber threat intelligence, and digital forensics, with particular emphasis on AI-driven vulnerability research. Current work focuses on developing frameworks like CORTEX for AI-enhanced threat intelligence and Applied VORTEX for AI-based vulnerability discovery, supported by substantial grants from Vinnova, Swedish Research Council, and EU Horizon programs. Dr. Süren's publication portfolio demonstrates consistent innovation in security research, with recent articles exploring procedural generation for power systems security, penetration testing methodologies for connected households, and practical IoT threat research frameworks. His work increasingly integrates AI/ML techniques to address evolving cybersecurity challenges, particularly in zero-day exploit detection and IoT security. National Academic Infrastructure for Supercomputing grants (NAISS) for LLM-based threat intelligence EU Horizon funding for DFIRent (AI-assisted digital forensics) Swedish Research Council funding for Applied VORTEX (5.7M SEK) Digital Futures funding for CORTEX (3M SEK) Vinnova Cybercampus grant (17.5M SEK total) As an active educator, he supervises numerous PhD and Master's students on projects ranging from mobile application security to AI-powered honeypot architectures. His technical committee service includes NordSec, DFIR Review, and IEEE Security & Privacy, while his practical contributions include open-source tools like Memotopsy (memory forensics) and PatrIoT (IoT vulnerability research methodology).

Andreas LarssonView profile

Associate Professor

• Product Development
• Innovation Engineering
• Design Thinking
• +4 more

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.

• Scientific Visualization
• Data Visualization
• Sonification
• +3 more

Alexander Bock is an Assistant Professor at Linköping University's Media and Information Technology (MIT) department within the Department of Science and Technology (ITN). His primary research focuses on scientific visualization, sonification, and immersive technologies, particularly through the OpenSpace software framework. He leads efforts to contextualize complex scientific data (e.g., astrophysics, biology) for public engagement and education. Bock's team develops open-source tools like OpenSpace, which visualize planetary data and NASA missions, emphasizing STEM outreach. Key projects include Birdsongification (sonification for biology visualization) and Parallel Chords (multidimensional data analytics). He organizes major conferences such as Eurographics and Eurovis, which have attracted global participation. His work bridges academia and informal science institutions, enhancing science communication through interactive platforms. Research interests span audiovisual analytics, data-driven modeling, and interdisciplinary collaborations. Bock's publications address visualization techniques, plasma physics simulations, and software frameworks for space weather and molecular biology. His team's OpenSpace project has been adopted worldwide in planetariums and educational settings. Labs/Teams: OpenSpace Development Team, C-research (Visualization Center C collaboration).

• Digital Innovation Networks
• Disruptive Technologies
• Circular Economy
• +5 more

Robin Teigland is a Professor of Strategy and Management of Digitalization at Chalmers University of Technology, part of the Entrepreneurship and Strategy Division within the Department of Technology Management and Economics. She holds a PhD from the Stockholm School of Economics (SSE) and has held prior roles as a Professor of Business Administration at SSE. Her research focuses on the intersection of strategy, technology, innovation, and entrepreneurship, with emphasis on digital innovation networks, disruptive technologies (e.g., AI, blockchain), and circular economy initiatives. She currently leads projects such as SuRF-LSAM (microfactories for circular economy) and chairs the Mistra-funded C2B2 program. Robin is also an impact entrepreneur, developing blue circular economies through startups like Circular Ocean LDA and Ekbacken Studios AB. Education: B.A. in Economics, Stanford University MBA, Wharton School MA in International Studies, University of Pennsylvania PhD in Business Administration, Stockholm School of Economics Research Interests: Her work explores digital transformation, circular economy transitions, and the societal impacts of technologies like blockchain and AI. Key areas include: Open source communities and entrepreneurial ecosystems Disruptive technologies' role in labor markets and firm structures Circular economy microfactories and ocean-based sustainability Professional Roles: Fellow of the Royal Swedish Academy of Engineering Sciences (IVA) Member of Sweden's Productivity Commission Former board member of Luftfartsverket AB and Akademiska Hus AB Awards & Recognition: Ranked among Sweden’s top 100 public speakers (2019) Listed as one of Sweden’s most influential women in technology by Veckans Affärer Projects & Grants: Robin directs initiatives funded by Vinnova, Formas, Mistra, and others, including the Ocean Data Factory and 4boards.ai. Her work bridges academia, industry, and public sectors to address challenges like sustainable manufacturing and ocean data governance. Impact Entrepreneurship: Beyond academia, she co-founded startups focused on circular economy solutions in Portugal and Sweden, leveraging her diverse background in venture capital, consulting, and international business.

Daniel SundmarkView profile

Professor

• Software Testing
• Embedded Systems
• Fault Management
• +7 more

Professor Daniel Sundmark is affiliated with Mälardalen University's School of Innovation, Design and Engineering, specifically within the Division of Computer Science and Software Engineering. His research focuses on software testing methodologies, embedded systems, fault management, and resilience engineering. He has published extensively on topics such as API testing, concurrency bugs, and safety-critical systems. Key research areas include: Model-based testing frameworks Automated test generation for embedded systems Resilience and fault recovery in networking systems Requirements engineering and similarity analysis His work spans both academic contributions and industrial collaborations, addressing challenges in automotive, railway, and telecommunications domains. Recent publications emphasize resilient system design, real-time systems, and automated testing strategies. Notable projects include the Alcea architecture analysis method and studies on fault management frameworks. He also explores integration testing challenges and the role of test automation in agile development. His research outputs demonstrate a strong focus on bridging theory and practice, with over 50 peer-reviewed articles since 2001 covering topics from concurrency bug detection to TDD optimization.

Timotheus KampikView profile

Assistant Professor

• Intelligent Systems
• Automated Reasoning
• Formal Argumentation
• +5 more

Timotheus Kampik is a Tenure-Track Assistant Professor at the Department of Computing Science , Umeå University , Sweden. He combines his academic work with an industry role as Principal Scientist at SAP , focusing on strategic research engagement related to intelligent processes, decisions, and transformation. Kampik's research centers on principle-based automated reasoning and the engineering of intelligent systems with applications in multi-agent systems, formal argumentation, and business process management. Kampik is a WASP Fellow supported by the Wallenberg AI, Autonomous Systems and Software Program. His work often bridges theoretical foundations with practical implementations, reflected in both his academic publications and industry contributions. He has served as co-chair for the International Workshop on Argumentation for eXplainable AI (ArgXAI) and organized sessions at major conferences like AAMAS and ECAI. Research Interests: Abstract and Quantitative Bipolar Argumentation Multi-Agent Systems Engineering Explainable AI and Human-AI Interaction Business Process Intelligence Formal Reasoning and Decision Theory Key Publications: Disagree and Commit (2025) - Argumentation-based agreements Kettle Logic in Abstract Argumentation (2024) Change in Quantitative Bipolar Argumentation (2024) Business Process Improvement with AB Testing (2024) Scientific Recognition: Best Paper Award, ICPM 2024 Best Program Committee Member Award, AAMAS 2022 Best Post-Graduate Student Paper Award, WESAAC 2020 WASP Fellowship recipient Teaching & Supervision: Lecturer for courses including Software Engineering and Artificial Intelligence at Umeå University Supervised multiple Master's and Bachelor's theses on topics like machine learning integration, human-aware planning, and deception detection Co-developed open-source agent programming libraries like JS-son

• Software Engineering
• Software Quality Assurance
• Data-Intensive Methods
• +3 more

Morgan Ericsson is a professor at Linnaeus University's Faculty of Technology, Department of Computer Science and Media Technology. He has coordinated the Linnaeus University Centre for Data Intensive Sciences and Applications and leads the research group Data Intensive Software Technologies and Applications (DISTA). His work spans software engineering, quality assessment, and machine learning applications in system design. Research coordinator, DISA Faculty member, Linnaeus University His research focuses on defining and measuring software quality through data-driven approaches, including code metrics, documentation evaluation, and machine learning. He develops methods to balance performance, safety, and functionality in complex systems. Recent publications involve generative adversarial networks for log end identification, copula-based metrics aggregation, and graph convolution networks for code-architecture mapping. Key themes include automated classification, density analysis, and educational software tools. Ericsson has led projects like "HPC for SME" and "In-line Visual Inspection Using Unsupervised Learning," while contributing to software infrastructure for quality assessment and mobile learning frameworks.

Konrad AbramowiczView profile

Associate Professor

• Functional Data Analysis
• Statistical Methods in Biomechanics
• Climate Research
• +4 more

Konrad Abramowicz is an Associate Professor and Head of the Department of Mathematics and Mathematical Statistics at Umeå University. His research focuses on functional data analysis, classification, and local inference procedures in the presence of misalignment, with applications in biomechanics, climate research, and forest growth analysis. He teaches stochastic simulations and parametric modeling methods, emphasizing student development and curiosity-driven learning. Education: University of Wrocław (Poland), with Erasmus exchange to Umeå University Research: Functional data analysis, interdisciplinary collaborations in biomechanics and climate science Awards: Teaching awards for dedication to student mentorship Internationalization: Postdoctoral work in Australia; collaborations with Italy and India; faculty-level international contact Konrad's research spans functional data analysis applied to knee kinematics after ACL injuries, climate reconstruction using sediment data, and statistical methods for forest growth analysis. He developed computational tools like the fiberLD R package for fiber length determination in forestry studies. His recent publications highlight interdisciplinary applications of statistical methods, with a focus on movement pattern analysis, climate modeling, and non-destructive forest assessment. Konrad advocates for international collaboration and adaptive academic practices to address global challenges. Konrad has received teaching awards and is recognized for his supportive approach to students. He actively participates in university initiatives for international student integration and served as international coordinator for academic exchange programs. As a key member of the IceLab interdisciplinary research hub, Konrad bridges statistical methods with applications in biomechanics and environmental science. His work emphasizes the importance of mathematical abstraction in solving real-world problems.

• Functional Data Analysis
• Spatial Statistics
• Applied Statistics
• +4 more

Sara Sjöstedt de Luna is a Professor in Mathematical Statistics at Umeå University's Department of Mathematics and Mathematical Statistics. She is a board member of The Wallenberg AI, Autonomous Systems & Software Program (WASP) and holds the title of Docent. Her research spans functional data analysis, spatial statistics, and their applications in climatology, forestry, and human motor control. Affiliation : Umeå University Department : Mathematics and Mathematical Statistics Research Focus : Functional data analysis, spatial statistics, and interdisciplinary applications in environmental and biomedical domains Her recent work involves developing statistical tools like the fdaMocca and fiberLD R packages, advancing methodologies for clustering functional data with covariates, and refining kriging approaches for spatiotemporal predictions. She has contributed to climate reconstruction using varved lake sediment data and biomechanical analysis of knee kinematics post-injury. Applications of her research include: Climate modeling using historical sediment records Wood fiber length determination for forestry studies Biostatistical analysis of human motor control Sjöstedt de Luna employs both parametric and nonparametric statistical techniques, with a focus on handling dependent data structures, censoring challenges, and algorithm design for complex datasets.

Huanyu LiView profile

Assistant Professor

• Semantic Web
• Ontology Engineering
• Data Integration
• +4 more

Huanyu Li is an Assistant Professor at the Department of Computer and Information Science (IDA) of Linköping University, Sweden, within the Human-Centered Systems (HCS) division. His research focuses on Semantic Web and Ontologies, particularly ontology engineering, ontology-driven data integration, and applications in materials design and circular economy domains. Education : PhD in Computer Science, Linköping University (2022) MEng in Software Engineering, Harbin Institute of Technology (2016) BEng in Software Engineering, Harbin Institute of Technology (2014) Research Interests : Ontology engineering and alignment methodologies Domain-specific ontology development (materials science, semiconductor technologies) Interoperability frameworks for heterogeneous data sources Circular economy applications through ontology networks Service Roles : Co-chair of VOILA!, OM, and SeMatS workshops Program committee member for ESWC, ISWC, and other conferences Management committee member of EU COST Action EuMINe Reviewer for journals like Nature Scientific Data and Advanced Engineering Materials Awards : Recipient of the Lawson Stipendium (2022) for contributions to ontology matching and materials science communities Collaborations : Swedish e-Science Research Centre (SeRC) - DCMD group OPTIMADE discussion group on ontologies

• Machine Learning
• Constraint Programming
• Logic Programming
• +4 more

Tony Lindgren is an Associate Professor and Unit Head (SAS) at the Department of Computer and Systems Science, Stockholm University, under the Digital Futures Faculty. He leads research in machine learning, constraint programming, and logic programming. His work bridges theoretical computer science with practical applications in data-driven decision-making and predictive maintenance. Research Interests: Machine Learning Constraint Programming Logic Programming Data Science Natural Language Processing Interpretable AI Systems Key Contributions: Developed methods for explainable AI, including counterfactual explanations and conformal prediction frameworks. Pioneered fusion of constraint programming with machine learning for scheduling and maintenance optimization. Active in automotive and aerospace industries, addressing predictive maintenance challenges through interdisciplinary approaches. Publications focus on interpretable machine learning, multi-objective optimization, and fault detection systems. His work appears in top venues like Machine Learning, IEEE Transactions, and International Conferences on Data Mining. Lindgren co-leads the Data Science Research Group and Natural Language Processing Research Group at Stockholm University, driving innovation in scalable algorithmic methods and NLP applications. His software tools (e.g., Conformal Prediction frameworks) are publicly available via academic repositories.

Panos PapadimitratosView profile

Professor

• Cybersecurity
• Networking and Communications
• Artificial Intelligence
• +6 more

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.