جستجوی استاد راهنمای دانشگاهی

• Particle Physics
• Nuclear Physics
• Beam Dynamics
• +۳ مورد دیگر

Emanuele Laface serves as a Research Fellow within the Particle and Nuclear Physics division at Lund University's Department of Physics, Faculty of Science. His work is deeply integrated with the European Spallation Source (ESS) project, focusing on critical aspects of particle accelerator development and operation. His research expertise spans multiple interconnected domains: Advanced beam dynamics and control systems for particle accelerators Computational physics methods for particle beam simulation Design and optimization of multipole magnets for beam shaping Ion source and low energy beam transport systems High-performance computing applications in accelerator physics Particle accelerator control software frameworks Analysis of his publication record reveals a strong technical focus on solving practical engineering challenges in accelerator physics through innovative computational approaches. His work on FPGA-based computing platforms, phase-space decoupling methods, and covariant Hamiltonian formulations demonstrates both theoretical depth and practical implementation skills. The recurring ESS theme across his publications indicates sustained contribution to this major international facility. Dr. Laface maintains an active collaborative network with international research teams working on the ESS project, as evidenced by his multi-author publications involving researchers from various institutions. His technical contributions span from fundamental theoretical developments to practical implementation of accelerator control systems.

Samuel Estenlundمشاهده پروفایل

پژوهشگر ارشد

• Electric machine design
• Thermal management
• Direct air cooling
• +۵ مورد دیگر

Samuel Estenlund is a Postdoctoral Fellow at the Division of Industrial Electrical Engineering and Automation within Lund University's Faculty of Engineering (LTH), and a member of the LTH Profile Area: The Energy Transition. His work centers on advancing electric machine technologies for high-performance applications, particularly in sustainable energy systems. He earned his MSc in Electrical Engineering from Lund University in 2013 and completed his PhD in Industrial Electrical Engineering in June 2024. His doctoral research focused on direct air-cooled hollow windings for electrically excited machines. Estenlund's research specializes in electric machine design with emphasis on thermal management and direct air cooling systems. Key investigation areas include rotor optimization for traction applications, synchronous machine performance enhancement, and additive manufacturing techniques for windings. His work addresses critical challenges in achieving high current density while maintaining thermal stability in electric motors, particularly for electric vehicle propulsion systems. His publication record reveals a concentrated research trajectory toward innovative cooling solutions for electric machines, with recent work demonstrating experimental validation of hollow rotor windings and exploration of additive manufacturing for winding production. These efforts consistently target performance improvements in traction machines while eliminating dependence on permanent magnets. As Principal Investigator for the TRUPER project (2014-2019), he led research on permanent magnet-free traction machines. No formal advisees are documented in available materials, though he contributes to academic instruction in power systems and power electronics. Estenlund operates within Lund University's industrial electrical engineering division, collaborating extensively on energy transition initiatives and contributing to the development of next-generation electric machine technologies through both experimental and computational approaches.

• Biophysics
• Molecular Dynamics Simulations
• Native Mass Spectrometry
• +۷ مورد دیگر

Erik Marklund is a researcher at Uppsala University, affiliated with the Department of Chemistry - BMC, Biochemistry, under the Disciplinary Domain of Science and Technology. His work bridges computational biophysics and experimental structural biology, with a focus on protein dynamics, mass spectrometry, and molecular simulations. His research interests include: Biophysics and molecular dynamics simulations Native mass spectrometry and ion mobility Protein-lipid and protein-DNA interactions Structural stability of viral capsids and membrane proteins X-ray single particle imaging and coherent diffractive imaging Liquid-liquid phase separation and functional amyloids His recent publications (2023–2025) reveal a strong trend in integrating computational modeling with experimental structural techniques, particularly in understanding protein conformational changes, stability, and assembly. His work spans from fundamental biophysical principles to applications in enzyme evolution and biomaterial design. Notable scientific contributions include: Development of high-performance molecular dynamics methods using the fast multipole method for large protein complexes Insights into fractal self-assembly in metabolic enzymes Engineering lipid-binding in artificial membrane proteins Advancing x-ray single particle imaging through orientation bias modeling He is involved in multiple funded research projects supported by the Swedish Research Council, EU Horizon 2020, Knut and Alice Wallenberg Foundation, and others, indicating active grant acquisition and collaborative research. While no direct students are listed, his frequent co-authorship with early-career researchers suggests mentoring roles. He is part of interdisciplinary teams including SciLifeLab and international collaborations in structural biology.

Örjan Danielssonمشاهده پروفایل

دانشگاهی

• Chemical Vapor Deposition (CVD)
• Materials Chemistry
• Solid State Chemistry
• +۳ مورد دیگر

Örjan Danielsson is the Head of Department and Senior Associate Professor at the Department of Physics, Chemistry and Biology (IFM) at Linköping University. His research focuses on chemical vapor deposition (CVD) processes for silicon carbide (SiC) and related semiconductor materials, with an emphasis on growth mechanisms, surface chemistry, and predictive modeling. He holds a position in the Chemistry (KEMI) division and actively contributes to advancing material synthesis techniques through computational and experimental approaches. His research interests include understanding the thermochemical and kinetic aspects of CVD processes, particularly involving halogenated chemistries and carbon doping strategies. He explores surface reaction dynamics, precursor behavior, and defect control in epitaxial growth of SiC and III-nitride materials. His work bridges computational modeling (e.g., ab initio simulations) with experimental validation to optimize material purity, doping efficiency, and crystal quality. Key research trends from his articles include the development of systematic in silico methods for CVD process prediction, investigation of hydrogen/halogen interactions during growth, and optimization of doping techniques using propane and trimethyl gallium. His studies address challenges in achieving uniform, high-purity materials for semiconductor device applications, such as high electron mobility transistors (HEMTs). No scientific awards are explicitly mentioned in the provided information. He supervises collaborative research projects and maintains an active publication record in high-impact journals like The Journal of Physical Chemistry and Journal of Applied Physics . His lab focuses on advancing CVD technologies for next-generation electronic and optoelectronic materials.

• Embedded Systems
• Avionics
• Real-Time Systems
• +۳ مورد دیگر

Ingemar Söderquist is an Adjunct Professor at the Division of Electronics and Embedded Systems, Royal Institute of Technology (KTH), and a Technical Fellow at Saab within Electronics Design in Avionics. His research focuses on safe, reliable, and high-performance embedded real-time systems, combining system design, software/hardware technology, and chip-level infrastructure. Education: M.S. in Electronic and Electrical Engineering, University of Linköping, 1985 Ph.D. in Electronic Devices, University of Linköping, 2002 With over 30 years of experience, Ingemar specializes in industry-academia collaborations to develop avionics technologies, methods, and tools. He joined Saab in 1985 and became an Adjunct Professor at KTH in May 2022.

• Strength Engineering Methods
• Fatigue Analysis
• Reliability and Robustness in Product Design
• +۳ مورد دیگر

Professor Mårten Olsson holds the Sverker Sjöström Professorship in Reliable Structures at the Royal Institute of Technology (KTH) within the Department of Materials and Structural Mechanics. He has led the department since 2006 and previously held roles such as Director of PhD Education and Head of Solid State Engineering programs. His research focuses on strength engineering methods to enhance product reliability and robustness through advanced fatigue analysis, multiaxial loading models, and probabilistic failure prediction. Olsson has authored over 60 peer-reviewed articles and supervised 14 completed PhD students, contributing to fields like additive manufacturing, engine block dynamics, and composite material behavior. His work integrates computational modeling with experimental validation to address industry challenges in structural reliability and optimization. Research Interests: Olsson’s research spans fatigue analysis, multiaxial loading effects, reliability-based design optimization, and material degradation mechanisms. Notable areas include probabilistic modeling of standing contact fatigue, fracture mechanics in composites, and vibration analysis in engine systems. Key Contributions: His publications highlight advancements in second-order reliability methods, fatigue probability models for complex geometries, and the integration of deformation effects into structural dynamics. Olsson’s methodologies have been applied to aerospace components (e.g., gas turbine blades) and automotive systems (e.g., engine gaskets). Academic Leadership: Beyond research, Olsson has orchestrated educational programs at KTH, including the Master of Science in Engineering Physics, and pioneered competency specialization tracks in Solid State Engineering. His teaching spans undergraduate through doctoral levels, emphasizing practical industrial applications.

Alexander Grötschمشاهده پروفایل

استادیار

• Applied Physics
• Synchrotron Science
• Architected Metamaterials
• +۱۰ مورد دیگر

Alexander Grötsch is a Tenure Track Assistant Professor at KTH Royal Institute of Technology, specializing in bio-based nanostructured materials and solid mechanics. He holds affiliations with the Wallenberg Wood Science Center (WWSC) and the Treesearch consortium, focusing on sustainable materials research. His work integrates experimental and computational approaches, leveraging synchrotron facilities like MAX IV and ESRF for in situ micromechanical testing. Education: Physics (University of Cologne), Quantum Nanoscience (Forschungszentrum Jülich), PhD in Mechanical & Biomedical Engineering (Heriot-Watt University). Research areas include architected metamaterials, functional materials, and bio-inspired designs. He co-leads PhD projects on multiscale modeling and materials for nuclear power plants. Key Awards: Nature Portfolio Reviewer of the Month (2024), RSE John Moyes Lessells Scholarship (2018). Scientific Networks: LINXS, EUROMECH, MecaNano (Horizon Europe-funded). Current Openings: 2 PhD positions in vascular biomechanics and a postdoc on bio-based materials. Grötsch teaches courses on Solid Mechanics and FEM applications. His research bridges materials science with digital transformation as a faculty member of Digital Futures at KTH.

Erik Elmrothمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Erik Elmroth is a Professor at the Department of Computing Science, Umeå University. He leads research in distributed systems, cloud/edge computing, and autonomous resource management, directing a 30+ member research group. His leadership includes transformative roles as department head (2009-2021) and Deputy Director at High Performance Computing Center North (HPC2N). Elmroth serves on executive committees for the SEK 6.2B Wallenberg AI program (WASP) and SEK 390M eSSENCE initiative, and leads multiple Kempe Foundation projects. Research interests center on: Autonomous control of cloud/edge infrastructures Software-defined systems and federated clouds AI-driven resource optimization High-performance computing architectures Robust machine learning for distributed environments His publications emphasize adaptive cloud systems, anomaly detection, and federated learning, with consistent focus on scalability and resilience in edge/cloud deployments. Awards and honors: Member of Royal Swedish Academy of Engineering Sciences (IVA) Nordea Scientific Prize (2011) SIAM Linear Algebra Prize (2000) National HPC Lecturer appointment He has supervised 40+ PhD students and secured major grants including the Swedish Research Council's second-largest award for the Cloud Control project. Elmroth founded the Control Workshops series and co-founded Elastisys AB, a cloud security firm with 50+ employees recognized as Umeå's Spin-off Company of the Year.

Kristina Långمشاهده پروفایل

دانشیار

• Breast imaging
• Breast cancer
• Breast cancer screening
• +۷ مورد دیگر

Kristina Lång is an Associate Professor (Docent), Project Leader, Specialist Physician, and Researcher in Diagnostic Radiology at Malmö. She serves as a Principal Investigator at Lund University Cancer Center (LUCC) and eSSENCE: The e-Science Collaboration. With extensive clinical experience as a breast radiologist since 2015, she uniquely bridges patient care with cutting-edge research in breast cancer diagnostics and screening. Her primary research focuses on reducing breast cancer mortality through innovative screening and diagnostic approaches. She leads the MASAI study, a large randomized trial investigating AI implementation in mammography screening, with initial results presented in 2023. Additionally, she heads the "23°N - Cancer's Tropic" project aiming to develop accessible breast diagnostics with a global health perspective, particularly for low- and middle-income countries where late detection contributes to high mortality rates. Her work spans translational imaging, breast tomosynthesis, and AI applications in radiology, addressing both high-resource and resource-limited settings. Recent publications reveal a strong emphasis on AI applications in breast cancer screening and diagnostics, examining cost-effectiveness, screening performance metrics, AI classification in point-of-care ultrasound, and recurrence patterns. Her research bridges clinical practice with technological innovation, with particular attention to real-world implementation and global accessibility across diverse healthcare systems. Junior Clinical Investigator Award (2025) Carla Boetes Award, European Society of Breast Imaging (2024) Nature Medicine Notable Advances 2023 (2023) IVAs 100-lista recognition (2023) Most cited breast imaging paper award, European Radiology (2023) Dr. Lång has secured significant funding from organizations including UMAS Cancer Foundation, Cancerfonden, and Mats Paulsson Foundation. She actively supervises research projects and has presented her work at major conferences including the 7th Swedish Cancer Research Meeting (2025). Her team includes collaborators across radiology, computer science, and global health disciplines, working on multiple active projects from 2024-2028 focused on improving breast cancer outcomes worldwide.

Robert-Zoltán Szászمشاهده پروفایل

پژوهشگر

• Fluid Mechanics
• Computational Fluid Dynamics
• Large Eddy Simulation
• +۴ مورد دیگر

Robert-Zoltán Szász is a Researcher in the Department of Energy Sciences at Lund University, Faculty of Engineering, and a member of the LTH Profile Area: The Energy Transition. His work centers on numerical modeling of fluid flows. His research interests encompass: Numerical modeling of swirling reacting and non-reacting flows Computational aeroacoustics Wind turbine aerodynamics Ice accretion phenomena He employs Large Eddy Simulations and Computational Fluid Dynamics to address energy system challenges, with recent focus on hydrogen-enriched combustion dynamics and ice accretion modeling for renewable infrastructure. Szász has supervised 6 students and contributed to key projects: Numerical and experimental investigation of a gas turbine model combustor : Dissertation project examining swirling flows in combustion systems Computations of ice throw/fall : 2018-2019 research on ice formation/detachment modeling

• Thermal Spraying
• Thermal Barrier Coatings (TBCs)
• Solid Oxide Fuel Cells (SOFCs)
• +۳ مورد دیگر

Mohit Kumar Gupta is a Senior Lecturer at University West , affiliated with the Department of Engineering Science . He holds a PhD in Production Technology (2015) and serves part-time as an International Coordinator for India at the university. Research focus: Thermal Spraying of Ceramic Coatings , Suspension Plasma Spraying (SPS) for Thermal Barrier Coatings (TBCs) and Solid Oxide Fuel Cells (SOFCs) . Teaching: Advanced Production Technology (XX5797) , Finite Element Analysis (FMB300) , Heat Transfer (VFD900) , and other mechanical engineering courses. Labs: Active in the Division of Subtractive and Additive Manufacturing and Division of Mechanical Engineering , collaborating with industrial partners like GKN Aerospace and Oerlikon Metco . His work bridges thermal spray technology with computational modeling , emphasizing coating microstructure optimization and lifetime assessment for high-temperature applications.

Ching-Lien Hsiaoمشاهده پروفایل

دانشیار

• Semiconductor Materials
• Nanotechnology
• Thin Film Physics
• +۳ مورد دیگر

Ching-Lien Hsiao is an Associate Professor (Docent) at the Department of Physics, Chemistry and Biology (IFM), Linköping University. His research focuses on the development of electronic-grade III-nitride semiconductor thin films and nanostructures using magnetron sputter epitaxy for industrial applications in chiroptical elements, electronics, and optoelectronics. PhD in Physics from National Sun Yat-Sen University, Taiwan (2004) Postdoctoral research at National Taiwan University (2004-2008) Current appointments: Associate Professor at IFM, Linköping University His work spans the synthesis and characterization of AlN, GaN, and InN materials, with a particular emphasis on understanding atomic-scale processes during film growth. Research applications include high-power electronic devices, optical elements, and quantum technologies. Scientific funding includes support from the Swedish Research Council, Swedish Energy Agency, Olle Engkvist Foundation, and STINT. Recent publications highlight advancements in gallium oxide devices, tantalum nitride growth mechanisms, and magnetron sputtering techniques for semiconductor applications. Key Awards: Outstanding Postdoc Fellowship, National Science Council, Taiwan (2008)

• Nanotechnology
• Photonics
• Semiconductor Devices
• +۳ مورد دیگر

Håkan Pettersson is a Professor at the Academy of Information Technology , Halmstad University. His research focuses on advanced nanotechnology and optoelectronics, particularly in quantum heterostructures and infrared detection. Email: hakan.pettersson@hh.se Research Interests: His work spans semiconductor nanowires, quantum disc photodetectors, and hybrid nanocomposites. Key areas include photogating mechanisms, spectral tunability, and high-performance optoelectronic integration. Publications Trends: Recent articles highlight innovations in InP/InAsP nanowire arrays , quantum disc photodetectors , and applications in neuromorphic computing and energy storage .

• Graph Mining
• Network Analysis
• Graph Representation Learning
• +۳ مورد دیگر

Yifei Jin is a WASP Industrial PhD student at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science, specifically within the Division of Theoretical Computer Science. They are supervised by Professor Aristides Gionis and Associate Professor Sarunas Girdzijauskas at KTH, and also serve as an Experienced Researcher at Ericsson Research and a Visiting Researcher at Yale University under Rex Ying and Leandros Tassiulas. Yifei's research focuses on graph mining , network analysis , and graph representation learning , particularly applied to crowdsourcing data and wireless communication systems. Their work intersects telecommunications network optimization machine learning for graph-structured data AI-driven wireless resource management edge computing and distributed AI as evidenced by their publications spanning 2017–2025. Their academic contributions include 15 recent papers exploring topics such as neural surrogates for voltage drop estimation, wireless ray-tracing models, scalable distributed AI deployment, and vehicle platooning coordination. These publications demonstrate expertise in network traffic reduction KPI conflict analysis graph convolutional networks hyperbolic embeddings for ontologies real-time network diagnostics .

• Computer Systems
• Network Applications
• Protocols
• +۳ مورد دیگر

Voravit Tanyingyong is a Lecturer at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology) working in the Division of Communication Systems within the School of Electrical Engineering and Computer Science. He has been working at KTH since 2003, demonstrating a long-standing commitment to the institution. His contact information includes telephone number +46 8 790 42 08 and email voravit@kth.se, with his office located at Malvinas Väg 10. Dr. Tanyingyong received his PhD in Information and Communication Technology from KTH in 2021, with his doctoral thesis titled "Performance, Availability, and Scalability in Open Networking Platforms for Internet Services." Prior to that, he completed his Licentiate thesis at KTH in 2014 titled "Performance and Reliability in Open Router Platforms for Software-Defined Networking," establishing a strong foundation in networking research. Dr. Tanyingyong's research interests span computer systems, network applications, protocols, architectures, and the Internet of Things (IoT). His work demonstrates a consistent focus on practical implementations of networking technologies with applications in various domains including environmental monitoring, healthcare, and smart grids. His research bridges theoretical networking concepts with real-world implementations, particularly in the area of IoT systems where he has developed testbeds for air quality monitoring and smart grid applications. A significant portion of his work addresses performance, reliability, and scalability challenges in modern networking environments. Analysis of Dr. Tanyingyong's publication history reveals a clear evolution in his research focus. Early work centered on router/server performance and OpenFlow switching, reflecting the emergence of Software-Defined Networking. More recently, his research has shifted toward IoT applications, with publications on scalable IoT sensing systems, air quality monitoring, and IoT for smart DC grids. His work consistently addresses practical implementation challenges while maintaining theoretical rigor, with a particular emphasis on system performance, reliability, and scalability. The interdisciplinary nature of his research connects computer networking with environmental science, healthcare, and energy systems. Advanced Internetworking (IK2215) - Teacher Internet of Things (IK1332) - Teacher Networks and Communication (IK1203) - Teacher Ethics and Sustainable Development for Engineers (II2210) - Course Responsible Projects and Project Methods (II1302) - Course Responsible Multiple degree projects as examiner across Computer Engineering, Computer Science and Electrical Engineering specializations Dr. Tanyingyong has established himself as a dedicated educator who bridges theoretical networking concepts with practical implementations. His teaching portfolio reflects his research expertise while covering essential networking fundamentals and emerging IoT technologies. As course responsible for Ethics and Sustainable Development for Engineers, he demonstrates commitment to broader engineering principles beyond technical skills.