Zhibo Pang is an Adjunct Professor at KTH Royal Institute of Technology's Department of Intelligent Systems (EECS) and Senior Principal Scientist at ABB Corporate Research Sweden. His work focuses on digital transformation in industry and healthcare, spanning robotics, AI, control systems, and wireless communication. He leads projects in embodied intelligence, Industry 4.0, and Healthcare 4.0, with 23 granted patents and over 120 journal papers. Education: PhD in Electronic and Computer Systems (KTH, 2013), MBA in Innovation & Growth (University of Turku, 2012). Key Roles: IEEE Technical Committee Chair, Editor of 6 IEEE journals, ABB Inventor of the Year (2016, 2018, 2021). Research Interests: Robotics safety, wireless automation, federated learning, digital twins, and IoT security. Recent Projects: Cloud-fog automation frameworks, robot skin systems for healthcare, and latency-aware industrial control. His work bridges academia and industry through cross-functional collaborations.
Jonas Faleskog is a Professor in the Department of Materials and Structural Mechanics at KTH Royal Institute of Technology. His research focuses on mathematical modeling of material deformation and failure mechanisms, particularly in metallic and polymeric materials. Key areas include ductile and brittle fracture analysis, fracture mechanics, and computational modeling of material behavior under various stress conditions. He leads a research group collaborating internationally to develop models describing material failure at microscopic scales. Faleskog teaches courses such as Fracture Mechanics (SE2139) and Modeling in FEM (SE2860), emphasizing practical applications of theoretical models. His work spans experimental and numerical methods, addressing challenges in material heterogeneity, porosity effects, and environmental degradation. Notable contributions include advancements in weakest-link modeling for brittle failure, probabilistic fracture models, and strain gradient plasticity analysis. His research bridges material science, applied mechanics, and numerical methods to optimize material utilization in engineering systems like reactor tanks, aircraft, and vehicles. Key collaborations involve international teams exploring microstructural influences on fracture behavior. While no specific awards are listed, his extensive publication record reflects sustained contributions to mechanical and materials engineering.
Satya Prakash Saraswat is a Postdoctoral Researcher at KTH Royal Institute of Technology's Nuclear Science and Engineering Unit in Stockholm, Sweden. He holds a Ph.D. from the Indian Institute of Technology Kanpur, with expertise in thermal-hydraulics, nuclear reactor safety, computational fluid dynamics (CFD), and system code development. His work spans fission and fusion reactor analysis, including contributions to the VALIDATIO project (University of Pisa) for fusion safety tools and the ATLAS project (Khalifa University) for advanced reactor safety enhancements. Research interests focus on computational modeling, AI integration in nuclear safety, and experimental validation of safety systems. He has developed skills in both experimental and numerical techniques, addressing challenges in multiphase flow, reactor core dynamics, and material compatibility. Key projects include validation of ASYST and SIMMER codes for condensation phenomena and lead-lithium interaction studies. Publications highlight advancements in burn-up wave characterization, code stability analysis (RELAP5/SIMMER), and thermal-hydraulic safety assessments for reactors like ESBWR and ITER systems. His work emphasizes enhancing safety tools through rigorous validation and innovative methodologies.
Jan Stake is a Professor of Terahertz Electronics and head of the Terahertz and Millimeter-Wave Laboratory at Chalmers University of Technology. He holds a MSc (1994) and PhD (1999) in electrical engineering and microwave electronics from Chalmers. His research focuses on terahertz technology for space missions, climate science, and industrial applications. Key projects include developing THz components for the Jupiter Icy Moons Explorer (Juice) and MetOp satellites, and creating sensors for pharmaceutical manufacturing. He has authored 388+ publications, served as Editor-in-Chief of IEEE Transactions on Terahertz Science and Technology , and is an IRMMW-THz board member. Current work emphasizes integrated THz components for space science and wireless communication. Awards include visiting research fellowships at the UK’s National Physical Laboratory (2023). Teaching includes semiconductor physics and microwave engineering, with a weekly journal club for PhD students. Research Interests: Terahertz fundamental science and applications Space instrumentation (e.g., SWI instrument for Juice mission) Climate monitoring via atmospheric THz measurements Graphene-based THz detectors and amplifiers THz radar systems for industrial process monitoring Recent Work Trends: Recent articles (2023–2025) emphasize high-precision quantum-cascade lasers , antenna alignment optimization , industrial THz sensing systems , and space-borne receiver reliability . Key themes include improving THz component integration, enhancing spectral resolution for molecular analysis, and advancing THz applications in manufacturing and environmental science. Awards & Roles: Editor-in-Chief, IEEE Transactions on Terahertz Science and Technology (2016–2018) Chair, IEEE THz Best Paper Award Committee (2019–2021) Elected IRMMW-THz Board Member (2017–2024) Visiting Research Fellow, UK National Physical Laboratory (2023) Grants & Collaborations: Active in EU and industry partnerships for space instrumentation (e.g., Juice mission) and pharmaceutical sensing. Lab develops THz components with companies in aerospace and medical sectors. Labs/Teams: Leads the Terahertz and Millimeter-Wave Laboratory, collaborating with National Physical Laboratory (UK) and ESA on space instrument development.
Professor Zuheir Barsoum is a faculty member at KTH Royal Institute of Technology, serving as Vice Head (Research) in the Department of Engineering Mechanics. His research focuses on computational weld mechanics, fatigue assessment of materials, and structural integrity of welded joints. Key areas include high-frequency mechanical impact (HFMI) treatments for fatigue improvement, finite element analysis, and lightweight metal joining. Funded by VINNOVA, SSAB, Volvo, and others, his work addresses industrial challenges in structural durability. Current PhD students include Martin Edgren (bridge structural health monitoring), Mehdi Ghanadi (fatigue of high-strength steels), Yu Zhu (laser cladding simulations), and Kaushik Iyer (LCC modeling of welded structures). He teaches courses like Advanced Design of Welded Structures (SD2420) and oversees degree projects in Lightweight and Solid Mechanics. Notable achievements include the 2010 Henry Granjon Prize for fatigue design research. His startup Winteria AB commercializes digital quality assurance solutions for welding production, aligning with Industry 4.0 trends. Recent research emphasizes probabilistic fatigue modeling, machine learning for weld geometry analysis, and material defect characterization. Collaborations include Chalmers University and Swerim. His work bridges advanced manufacturing, computational mechanics, and industrial applications to enhance structural reliability and lifecycle cost optimization.
Marie Johansson is a Professor in Timber Engineering at the Department of Building Technology, Faculty of Technology, Linnaeus University. Her career spans teaching structural engineering in bachelor’s and master’s programs and leading research projects on wood quality, strength grading, and timber mechanics. Acting supervisor in two PhD projects Expert Team Leader for "Construction & Design" in BioInnovation SIO-programme Research Interests : Wood material properties (shape stability, stiffness, strength) Connection technology in timber structures Climate change adaptation in agriculture (Öland, Sweden) Modular multi-storey timber buildings Fiber orientation modeling for strength prediction Publication Trends : Recent work focuses on wind-induced vibrations in tall timber structures, 3D fiber orientation models, genetic selection for timber traits, and non-destructive evaluation of wood properties. Collaborations with international conferences (WCTE, ICEM) and institutions highlight her contributions to wood science and sustainable construction. Research Groups : Leads the Wood Building Technology group, emphasizing applied mechanics and industrialized timber construction.
Hamed Sabahno serves as a Senior Lecturer in the Department of Statistics at Lund University, Sweden. His academic profile is centered on advanced statistical methodologies with applications in engineering and quality control systems. His research spans statistical process control , speckle pattern analysis , and multivariate monitoring systems . Key focus areas include adaptive control charts, measurement error correction, and image-based displacement measurement techniques. His work bridges theoretical statistics with practical industrial applications, particularly in non-destructive testing and quality engineering. Recent publications demonstrate strong emphasis on Real-time process monitoring using optical methods Multivariate regression profile control Statistical refinement in speckle-based measurements Adaptive parameter systems for quality assurance His fingerprint analysis confirms dominance in Control Charts (100%) and Measurement Error (55%) research domains. Professional engagement includes ORCID registration (0000-0002-5618-887X) and active publication in high-impact journals including Scientific Reports and Quality and Reliability Engineering International . His research has attracted attention from 5 Mendeley readers and coverage in 1 news outlet.
Lars Bååth is a Senior Professor at Halmstad University's School of Business, Innovation and Sustainability. His research focuses on optical measurement systems, surface metrology, microwave technology, and wind turbine acoustics. He has contributed to advancements in functional surfaces, turbine noise reduction, and industrial process control through 50+ peer-reviewed publications and patents. His work bridges engineering and environmental science, addressing challenges in manufacturing, energy systems, and material characterization. Key research areas include interferometric techniques for surface analysis, robotic polishing automation, and microwave-based measurement systems for industrial applications. Bååth has pioneered technologies for wind turbine noise propagation modeling and material defect detection, with applications in automotive, forestry, and metallurgical industries. His patents include innovations in contactless level detection and substance analysis in containers, reflecting his commitment to solving practical industrial challenges. Bååth collaborates extensively with industry partners, emphasizing technology transfer and real-world implementation of academic research.
Shafiqul Islam is an Associate Professor at the Department of Mechanical Engineering, Blekinge Institute of Technology, Sweden. His research focuses on simulation-driven product development, material characterization, and finite element modeling of cracks in packaging materials and sheet metal forming processes. He has served as a Research Project Manager for initiatives like CiSMA (Circular Steel for Mass-Market Applications) and completed projects including PREDICT and MD3S+ . Research interests include: Fracture mechanics of packaging materials Sheet metal forming and failure prediction Ultrasonic welding techniques Deep learning applications in manufacturing defect detection Recent publications highlight advancements in lightweight deep learning models (e.g., LightYOLO , MA-SPRNet ) for welding defect detection and metal forming simulations. His work spans both industrial applications (e.g., automotive body components) and fundamental material behavior studies (e.g., peeling of metal foils, HDPE stress triaxiality).
Per Edström is a Professor at the Department of Engineering, Mathematics and Science Education (IMD) within Mid Sweden University . His research focuses on mathematical modeling of light scattering in paper and print , particularly addressing challenges in optical interactions and radiative transfer . Education: Doctoral thesis (2007) and Licentiate thesis (2004) on light scattering in paper, both from Mid Sweden University. Research Interests: Edström’s work spans radiative transfer theory , fluorescence modeling , and computational methods for simulating optical properties in turbid media. He has developed advanced models like DORT2002 to improve accuracy in paper industry applications , focusing on phenomena such as dot gain , goniochromism , and edge effects in halftone printing . Recent Publications: His studies (2013–2015) explore Monte Carlo simulations , particle dynamics , and high-speed nanofilm deposition , contributing to fields like optical measurement techniques and color prediction models . Labs and Teams: Affiliated with the FSCN (Fibre Science and Communication Network) at Mid Sweden University, he collaborates on projects involving microroughness analysis , inverse radiative transfer problems , and open-source simulation platforms .
Bengt Oelmann is a Professor of Electrical Engineering at Mid Sweden University, working within the Department of Computer and Electrical Engineering (DET) and affiliated with the STC Research Centre. He holds a PhD in Engineering and is based in Sundsvall. His academic career spans several decades with continuous research output from the 1990s through to 2025. Professor Oelmann's research interests focus on energy harvesting technologies, wireless sensor networks, and instrumentation systems. His work bridges theoretical modeling with practical implementation, particularly in the context of Internet of Things (IoT) applications. He has made significant contributions to variable reluctance energy harvesting, vibration-based power generation, and indoor photovoltaic systems for powering wireless sensors. His research often involves developing self-powered monitoring systems that can operate autonomously in industrial and environmental settings. His publication record shows a clear trend toward increasingly sophisticated embedded systems that integrate machine learning for on-device processing, reducing the need for data transmission and enabling truly autonomous sensor networks. Recent work demonstrates applications in structural health monitoring, agricultural monitoring, and industrial IoT systems. Professor Oelmann collaborates extensively with S. Bader and other researchers across multiple institutions. His work appears in high-impact journals including IEEE Transactions on Instrumentation and Measurement, Sensors, and Applied Energy. His research projects include HydroSense, ASIS (Autonomous Sensors for Industrial Wireless Sensor Networks), and SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle). As an educator, Professor Oelmann has supervised numerous research projects and has contributed to the development of hardware platforms for rapid prototyping of wireless sensor networks (SENTIO). His work bridges the gap between theoretical electrical engineering and practical implementation in real-world monitoring scenarios.
Per Lindström Lussi is a Research Professor specializing in welding mechanics and structural integrity at Linnaeus University's Faculty of Technology, Department of Mechanical Engineering. With a doctoral degree in Computational Welding Mechanics from University West (2015), he focuses on Fatigue and Fracture Avoidance (FFA) and Fitness For Service (FFS) in marine and offshore structures. Education: Doctoral Thesis in Computational Welding Mechanics (2015), University West Licentiate of Naval Architecture and Ocean Engineering (2005), Chalmers University Master of Science in Marine Engineering (2001), Chalmers University Diploma of Commercial Management & Organization in Nautical Science (1999), Chalmers University Bachelor of Science in Marine Engineering (1991), Kalmar Maritime Academy International Welding Engineer certificate (2001), IIW Dr. Lindström Lussi's research focuses on welding mechanics, residual stress analysis, and structural integrity assessment of marine and offshore structures. His work bridges theoretical computational models with practical engineering applications, particularly in fatigue and fracture mechanics. He has extensive experience in both academic research and industrial applications, having worked with major organizations including Lloyd's Register, DNV GL, and Westinghouse Electric. His recent publications demonstrate a strong focus on computational welding mechanics, with particular emphasis on residual stress prediction, fracture mechanics, and additive manufacturing applications in marine contexts. The research shows progression from fundamental welding process modeling to advanced applications in structural integrity assessment and seaworthiness analysis. Professional Affiliations: Swedish delegate in IIW Working Unit C-X "Structural performances of welded joint - Fracture avoidance" (since 2006) Committee member, International Ship and Offshore Structures Congress (ISSC) Dr. Lindström Lussi leads research in the Welding Mechanics Laboratory and is active in the Smart Industry Group. His current projects include seaworthiness assessment of WAAM-manufactured marine propellers, FEA of residual stresses in welded structures, and investigation of NORM contamination in LNG fuel systems.
Per Edström is a Professor at Mid Sweden University, affiliated with the Department of Engineering, Mathematics and Subject Didactics (IMD). His research spans applied computational science and industrial bioeconomy, with a focus on developing strategies for a Swedish circular bioeconomy and solving real-world problems through simulations and modeling. Current Role: Professor, Department of Engineering, Mathematics and Subject Didactics (IMD) Research Focus: Applied Computational Science, Industrial Bioeconomy Key Contributions: Advanced simulation tools for light scattering in paper/printing, parameter estimation methods for radiative transfer, and cross-border collaboration frameworks Edström's research emphasizes computationally efficient solutions for industrially relevant problems, particularly in the paper industry. His work includes modeling light scattering, fluorescence, and optical properties of materials, with applications in printing, coating, and paper production. He has developed mathematical tools like the DORT2002 method and open-source platforms for optical simulations. Scientific awards: None explicitly documented.
Min Hu is a Lecturer in the Department of Building Technology at Linnaeus University's Faculty of Technology. With a PhD in Building Technology completed in 2018, Dr. Hu has established a research program focused on improving machine strength grading of structural timber through advanced analysis of fiber orientation and local bending stiffness related to knots in sawn timber. Dr. Hu's research interests center on timber engineering, wood mechanics, and structural analysis, with particular expertise in non-destructive testing methods including laser scanning and X-ray computed tomography. Their work bridges computational modeling with practical applications in wood construction, developing sophisticated models to predict mechanical properties of timber based on internal structure. The publication record demonstrates a consistent focus on understanding fiber orientation in Norway spruce and other timber species, with recent work expanding into Cross-Laminated Timber (CLT) applications. The research shows progression from fundamental studies of wood microstructure to practical engineering applications for improving timber grading and construction systems. Dr. Hu actively supervises bachelor's and master's degree projects while teaching courses in Structural Mechanics, Construction Technology, and the Finite Element Method. Their pedagogical approach emphasizes creating an encouraging environment that conveys the joy of learning and inspires critical thinking. Department of Building Technology Faculty of Technology Linnaeus University Dr. Hu leads research within multiple collaborative frameworks including the Linnaeus University Centre for Competitive Timber Structures (Lnuc TiSt) and participates in several ongoing research projects focused on sustainable wood construction, detection of internal timber properties, and improving CLT-based building systems through engineering design.
Sribalaji C. Anand is a postdoctoral researcher at KTH Royal Institute of Technology, Sweden, affiliated with the Division of Decision and Control Systems and the Department of Intelligent Systems. Hosted by Prof. Karl Henrik Johansson and Prof. Henrik Sandberg, his academic journey includes an M.Sc. in System and Control from Delft University of Technology (2019) and a Ph.D. in Automatic Control from Uppsala University (2024). Research Focus: Secure control systems, scalable control, positive systems, convex optimization applications, dissipative systems, and adaptive control. Grants: VR International Postdoctoral Grant (2024), STINT International Postdoctoral Scholarship (2024), and multiple travel scholarships from IEEE and Stenholm Wilgott. Publications: 15 recent articles covering security metrics, attack mitigation, and control system optimization.
