جست‌وجوی استاد و پژوهشگر

Bestoun S. Ahmed Al-Beywaneeمشاهده پروفایل

استاد

• Quality Assurance of Machine Learning Systems
• Software Testing
• Trustworthy AI Systems
• +۵ مورد دیگر

Bestoun S. Ahmed Al-Beywanee is a Professor in AI and Software Engineering at the Department of Mathematics and Computer Science, Karlstad University, Sweden. He joined the university as a Senior Lecturer in 2019, was promoted to Associate Professor in 2020, and to Professor in 2023. His roles include teaching advanced courses such as AI Engineering, Automated Software Engineering, and Software Testing Fundamentals. His research focuses on software quality assurance, trustworthy AI systems, and MLOps, with a strong emphasis on combinatorial testing, IoT systems, and applied optimization techniques. Education: BSc (Electrical and Electronic Engineering, University of Salahaddin-Erbil, 2004); MSc (University Putra Malaysia, 2009); PhD (Software Engineering, University Sains Malaysia, 2012). Postdoctoral research at the Swiss AI Lab IDSIA (2015) and positions at Salahaddin University and Czech Technical University further enriched his expertise. Research interests span Quality Assurance of machine learning systems, software testing methodologies, trustworthy AI, IoT system reliability, and optimization algorithms. He has pioneered frameworks like PatrIoT for IoT testing and contributed to MLOps robustness. His work integrates machine learning with anomaly detection, adaptive systems, and industrial applications. Recent articles highlight advancements in data-driven heat pump management, MLOps robustness, and edge-cloud AR/VR optimization. Collaborations include projects on digital twins, smart manufacturing, and industrial IoT. His contributions bridge theoretical research with practical industrial solutions, emphasizing system reliability and AI ethics.

Dario Salviمشاهده پروفایل

دانشیار

• Software Engineering
• Digital Health
• eHealth
• +۵ مورد دیگر

Dario Salvi serves as an Associate Professor at Malmö University's Faculty of Technology and Society within the Department of Computer Science and Media Technology. His academic work focuses on Information Systems, Digital Health Software Engineering, eHealth, Computer Sciences, and Interaction Design. Dr. Salvi holds a PhD in biomedical engineering with a background as a telecom engineer. His specialization centers on software engineering and hardware prototyping for healthcare applications and social good. His research bridges technological innovation with practical healthcare solutions, particularly in mobility assessment and patient monitoring systems. His research interests focus on developing technological solutions for healthcare applications, with emphasis on creating sensor-based systems for functional capacity testing, mobility assessment, and patient monitoring. His work demonstrates strong interdisciplinary connections between computer science, biomedical engineering, and clinical healthcare applications, with particular relevance to rehabilitation and chronic disease management. Dr. Salvi's publication record shows consistent output in healthcare technology, with recent work examining sensorized mats for mobility testing, inertial positioning systems for walk tests, and mobile applications for Parkinson's disease management. His research demonstrates a clear trajectory toward developing objective, reliable measurement systems for clinical mobility assessments. Dr. Salvi actively participates in several significant research initiatives including the ePROPP project (eHealth for Preventing and Reducing Orofacial Pain in the Population), research on Multistakeholder perspectives and experience of trust in digital health and AI, and development of Intelligent and Trustworthy IoT Systems. His work contributes directly to the Sustainable Digitalisation Research Centre's mission of studying both social and technological aspects of sustainable digital transformation. Dr. Salvi collaborates with the Sustainable Digitalisation Research Centre, which examines the intersection of technology and society to promote sustainable digital solutions. His research environment also connects with the UNITA platform focusing on inflammatory bowel disease, demonstrating his work's broader applicability across healthcare domains.

Bengt Jonssonمشاهده پروفایل

استاد

• Formal Methods
• Real-Time Systems
• Distributed Systems
• +۶ مورد دیگر

Bengt Jonsson is a Professor at the Division of Computer Systems, Department of Information Technology, Uppsala University. His research focuses on formal methods, real-time and distributed systems, semantics and verification of concurrent systems, and IoT security. Current Projects: UPMARC (Software Technology for Multicore Programming), aSSIsT (Secure Software for IoT), and Designed for UPDATE (Safe Embedded Software Updates) Past Projects: CoDeR-MP (Multicore Real-Time Applications), ProFun (Wireless Sensor Networks), CONNECT (Networked Component Synthesis) His work includes automated verification, model checking, and symbolic execution for concurrent systems. Recent publications address dynamic partial order reduction, IoT protocol testing, and lock-free data structures. Scientific Awards : CAV Award 2017 He advises PhD students and teaches courses like Model-Based Development of Embedded Systems and graduate-level symbolic execution. Personal interests include piano playing and orienteering.

Marie Wibergمشاهده پروفایل

استاد

• Educational Measurement
• Psychometrics
• Test Equating
• +۳ مورد دیگر

Marie Wiberg is a Professor of Statistics with a specialty in Psychometrics at the Department of Statistics, Umeå School of Business, Economics and Statistics (USBE) at Umeå University, Sweden. She holds a PhD in Statistics from Umeå University (2003) and has held academic positions there since 2003, advancing from Lecturer (2004–2005) to Assistant Professor (2006–2010), Associate Professor (2010–2015), and full Professor (2015–present). She has also held visiting roles at McGill University (2005) and the University of Twente (2006). Her research focuses on educational measurement and psychometrics , with emphasis on test equating , item response theory (both parametric and nonparametric), and international large-scale assessments like PISA and TIMSS. She has contributed to methodological advancements in kernel equating, statistical modeling, and the analysis of educational data. Her work bridges theoretical psychometrics with practical applications in standardized testing and policy analysis. Prof. Wiberg has supervised numerous PhD students, including Gabriel Wallin (2020), Jonathan Wedman (2017), and Inga Laukityte (2017). She actively contributes to academic governance, serving as an editor for journals like Behaviormetrika and on editorial boards for International Journal of Testing . Her awards include the Young Researcher Career Award (2008) and the Royal Skyttean Prize (2008). She is also a former member of Sweden’s Young Academy (2014–2018). Her research projects include developing statistical methods for standardized achievement tests (2020–2025) and analyzing Swedish student performance in international assessments (2007–2012). She collaborates internationally, with publications in Applied Psychological Measurement , Journal of Educational and Behavioral Statistics , and others.

• Model-Driven Engineering
• Robotics Software Engineering
• Software Architecture
• +۳ مورد دیگر

Federico Ciccozzi is an Associate Professor in Computer Science at Mälardalen University's School of Innovation, Design and Engineering, where he leads the ASSO research group and the VR ORPHEUS project. He also serves as Head of Research Education in Computer Science and Electronics at the university. His academic journey includes a M.Sc. in Global Software Engineering (via the GSEEM program) and a Ph.D. in Computer Science and Engineering from Mälardalen University (2014), followed by promotion to Docent (Associate Professor) in 2017. Education: M.Sc. in Global Software Engineering (GSEEM program, joint between Mälardalen, L'Aquila, and Amsterdam) Ph.D. in Computer Science and Engineering (Mälardalen University, 2014) Docent (Associate Professor) in Computer Science (Mälardalen University, 2017) His research focuses on model-driven engineering, robotics software engineering, and software architecture. He has pioneered work in blended modeling approaches, EAST-ADL extensions, and formal verification of complex systems, particularly in robotics and automotive domains. Recent projects emphasize industrial collaborations, such as optimizing ROS2 multi-robot systems and enhancing safety-critical software through model-based methodologies. Research Contributions: Developed frameworks for transforming surface languages into augmented EAST-ADL models Advanced blended modeling techniques across JetBrains MPS and Eclipse tools Examined consistency management in industrial model-driven development Edited special issues on model-driven engineering and low-code development His work bridges academic innovation and industrial practice, with notable projects like the Rubus Component Model for vehicular systems. He actively organizes workshops (e.g., RoSE, ASYDE) and contributes to standardization efforts like the Portable Test and Stimulus Standard. Labs/Teams: Leads the ASSO research group, focusing on advanced software engineering methodologies and robotics systems development.

• 3D printing
• Materials science
• Electromagnetic compatibility testing
• +۶ مورد دیگر

Pererik Andreasson is a Lecturer at the Academy of Information Technology , Halmstad University. His research focuses on 3D printing, materials science, electromagnetic compatibility testing, and wireless communication. Key contributions include optimizing 3D-printed radar lenses, advancing phase-change material characterization via femtosecond x-ray diffraction, pioneering augmented reality methods for electromagnetic field visualization, and developing substrate integrated waveguide antennas for IoT devices. 3D printing of optical components Dynamic processes in phase-change materials Augmented reality for electromagnetic testing IoT antenna design His recent work on frequency-adjustable SIW antennas (2024) and AR-based EMC visualization (2021) demonstrates cross-disciplinary innovation. While no scientific awards are documented, his 15+ publications since 2007 highlight sustained expertise in material science and wireless technologies.

Fredrik Blixمشاهده پروفایل

دانشیار

• Information Security
• Cybersecurity
• Cyber Attacks
• +۴ مورد دیگر

Name: Fredrik Blix Academic Rank: Associate Professor Affiliation: Department of Computer and Systems Sciences at Stockholm University Specializations: Information Security, Cybersecurity, Cyber Resilience, Cyber Policy, and Threat-Led Penetration Testing Research Interests: Dr. Blix focuses on advanced cybersecurity frameworks, including adaptive security models for multi-stage cyber attacks and systematic engineering approaches for cyber-physical systems. His work addresses compliance standards like NIS2 and GDPR, particularly within the Swedish automotive industry and cloud services. Notably, he developed the ASFA framework for DORA-compliant threat analysis and contributes to security-SLA monitoring in cloud environments. Notable Contributions: His research spans risk quantification models (e.g., FAIR in logistics), attack behavioral pattern analysis for critical infrastructure, and validation of offensive cyber operations frameworks. He also explores intersections between informal, formal, and technical cybersecurity components through case studies like "Special Commando Move".

• Building Acoustics
• Community Noise
• Machine Noise
• +۴ مورد دیگر

Krister Larsson is a Professor of Practice and Docent at the Department of Technical Acoustics, Chalmers University of Technology. He also serves as a senior consultant at Efterklang (AFRY) and has held previous roles at SP and RISE, where he managed acoustics labs and conducted senior research. His expertise spans building acoustics , community noise , and machine noise , with significant contributions to noise reduction in urban environments and lightweight structures. Research Interests : Larsson focuses on acoustic modeling , vibroacoustic systems , thermoacoustic devices , and noise control in transportation infrastructure . His work bridges theoretical acoustics and practical applications, including sound classification standards, noise barriers, and sustainable urban planning. Scientific Awards : While no awards are explicitly listed, his extensive publication record and leadership roles in acoustics research groups underscore his professional impact. Teaching & Affiliations : He teaches foundational and advanced courses in the ACE program and Master's program in Sound and Vibration . His career includes collaborations with research institutions (SP, RISE) and industry (AFRY).

Seif Haridiمشاهده پروفایل

استاد

• Parallel Computing
• Distributed Computing
• Cloud Computing
• +۴ مورد دیگر

Seif Haridi is a Professor at KTH Royal Institute of Technology in Stockholm, Sweden, specializing in parallel and distributed computing systems. He holds dual roles as Chair-Professor of Computer Systems and Chief Scientific Advisor at RISE SICS. His research integrates systems engineering with theoretical foundations, focusing on programming systems, distributed computing, and big data technologies. Key contributions include co-designing SICStus Prolog, the Mozart Programming System, and Apache Flink, as well as leading the development of HOPS, a European big data platform awarded the IEEE Scale Prize 2017. He has led major EU projects like EIT-Digital’s cloud computing initiative and co-founded startups such as LogicalClocks and HiveStreaming. His teaching includes courses on distributed algorithms and peer-to-peer computing at KTH. Notable awards include the European Data Science Technology Innovation 2019. His work spans systems like HOPS, Flink, and Kompics, emphasizing scalability and robustness in distributed environments. Current projects include CDA (Continuous Deep Analytics) and ExtremeEarth for geospatial data analysis. Research interests include distributed algorithms, consensus protocols, and cloud-native systems. His lab’s contributions to scalable storage (e.g., HopsFS) and stream processing (Apache Flink) highlight his impact on both academia and industry.

Peter Bergströmمشاهده پروفایل

دانشیار

• Educational Technology
• Innovative Learning Environments
• Student-Centered Learning
• +۴ مورد دیگر

Peter Bergström is an Associate Professor at the Department of Education, Umeå University, where he serves as Director of Studies. He holds the distinguished academic title of Distinguished University Teacher , recognizing his excellence in pedagogy. Bergström coordinates the NNILE research group and leads significant projects including Bringing research into practice: developing teachers’ transformative agency (2025-2027) and Towards a student-centered learning in innovative learning environments (2023-2026). His research explores transformative intersections of technology and pedagogy, with emphases on: Educational technology integration in one-to-one computing classrooms Power dynamics in teacher-student relationships Design of active learning spaces and innovative environments Sociomaterial perspectives on teaching practices Digital didactical designs for student-centered approaches Bergström's recent publications predominantly investigate pedagogical transformations in technology-enhanced classrooms, with recurring themes of teacher authority, spatial design impacts on learning, and the implementation challenges of digital tools in Swedish and Finnish educational contexts. His work employs mixed-methods approaches across 15+ empirical studies. Scientific Recognition: Distinguished University Teacher Award Research Leadership: Principal investigator for two multi-year projects on teacher agency and learning environments Coordinates the NNILE research group focusing on innovative pedagogies His work bridges academic research with practical applications in school design, teacher training programs, and national educational policy development.

Simon Reeseمشاهده پروفایل

مدرس ارشد

• Econometrics
• Panel Data Analysis
• Estimation Theory
• +۳ مورد دیگر

Simon Reese is an Associate Senior Lecturer in the Department of Economics at Lund University. His research focuses on econometrics, panel data models, and estimation theory, with expertise in probability theory and statistical methods. He has contributed to areas such as factor analysis in time series and panel data, detection of pervasive effects in large datasets, and the incidental parameters problem in econometric testing. His work has been published in journals like the Stata Journal and the Journal of Econometrics. Research interests include panel data modeling, factor estimation, and methodological advancements in econometric analysis. His recent studies explore topics such as school choice incentives and cross-sectional correlation testing in panel frameworks.

Jayanth Raghothamaمشاهده پروفایل

دانشیار

• Healthcare Informatics
• Complex Systems Modeling
• Simulation and Gaming in Policy Design
• +۳ مورد دیگر

Jayanth Raghothama is an Associate Professor at KTH Royal Institute of Technology, affiliated with the School of Computer Science and Communication (CBH) and the Digital Futures Faculty. He is part of the Division of Health Informatics and Logistics, focusing on healthcare systems, complex systems modeling, and simulation-based decision-making. His academic role includes co-leading the Digitalization Platform and serving as a Vice-Director. Education: PhD in Complex Systems from KTH (2017). Prior experience includes software industry roles and work with a think tank in Bangalore. Research Interests: Healthcare logistics, complex systems analysis, participatory simulations, AI/ML ethics, and the philosophy of games and simulations. His work bridges computational models with real-world applications in healthcare, urban planning, and disaster management. Recent Projects: Co-Principal Investigator of the 'Data-driven Improvement of Work-Flows at the Karolinska University Hospital' project. Active in AI-based colorectal cancer detection in primary care (AIDCCIP project). Teaching: Courses on Applied Machine Learning, Simulation Methods, and Healthcare Logistics at Bachelor, Master, and PhD levels. Modules include AI/ML ethics and Agent-Based Modeling. Publications: Over 20 peer-reviewed articles focusing on healthcare simulation models, real-world data analysis in oncology, and hybrid modeling techniques. Notable works include patient flow optimization algorithms and frameworks for risk stratification in lung cancer studies.

• Space Robotics
• Control Theory
• Computer Vision

Pedro Delgado Roque is a Postdoctoral Researcher at the Royal Institute of Technology (KTH) in Stockholm, affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP). He is part of the Division of Decision and Control Systems (DCS) and leads the establishment of the Space Robotics Laboratory at KTH. His research focuses on Space Robotics, Control Theory, and Computer Vision, with contributions to projects like DISCOWER, Space Cobot, and MoonHopper. He obtained his Ph.D. in 2024 under Professors Dimos Dimarogonas, Mikael Johansson, and Jana Tumova. **Research Interests**: Space Robotics: Weightless robotics, collaborative robotics, exploration robotics. Control Theory: Model predictive control, collaborative load transportation. Computer Vision: Visual-servoing, distributed vision systems. **Awards**: ICRA 2022 Outstanding Coordination Award for work on decentralized collaborative UAV control. **Advising**: Supervised 11+ Master's and thesis students, including works on failsafe control for space systems, predictive controllers in microgravity, and multi-agent inspection systems. Collaborated with NASA Astrobee and PX4 projects. **Labs & Projects**: Co-founded the DISCOWER project with 4 PhD students, 2 master students, 6 professors, and a postdoc team. Developed the Space CoBot aerial robot for indoor microgravity testing.

• Software Engineering
• Decision Models
• Framework Evolution
• +۶ مورد دیگر

Michael Mattsson is a Professor in the Department of Software Engineering at Blekinge Institute of Technology (Faculty of Computing). His research focuses on software engineering practices, particularly in decision models for asset selection, framework evolution, and software architecture evaluation. Industrial collaboration and empirical validation are central to his work. Research Themes: Decision models, framework stability, quality attribute trade-offs, and industrial software evaluation. Projects: Completed the VITS project on test data visualization and contributed to the ORION project (funded by the Knowledge Foundation). Publications: Key topics include asset selection surveys, framework evolution comparisons, and systematic mapping studies in software engineering.

Nasrine Olsonمشاهده پروفایل

پژوهشگر

• Accessibility Research
• Human-Centered Design
• Cultural Heritage Technology
• +۳ مورد دیگر

Nasrine Olson is a researcher at the Department of Library and Information Science, University of Borås. She serves as Director of INCLUDE - Center for Inclusion Research and coordinates the Horizon Europe MuseIT project, focusing on inclusive digital heritage technologies. Her work bridges accessibility research, human-centered design, and cultural heritage preservation.