جستجوی استاد راهنمای دانشگاهی

• Mathematical Analysis
• Partial Differential Equations
• Homogenization Theory
• +۳ مورد دیگر

Marianne Olsson Lindberg serves as Senior Lecturer and holds the academic title of Associate Professor at Mid Sweden University within the Department of Engineering, Mathematics and Subject Didactics (IMD) in Östersund. Her research focuses on advanced mathematical analysis with emphasis on homogenization theory and multiscale methods for differential equations. Her primary research interests span Mathematical Analysis , Partial Differential Equations , and Homogenization Theory , particularly investigating parabolic problems with multiple spatial and temporal scales. She has developed significant expertise in Multiscale Analysis and G-Convergence , contributing to both theoretical frameworks and practical applications in materials science and engineering contexts. Her work often addresses the effective properties of heterogeneous media through rigorous mathematical modeling. Analysis of her 15 most recent publications reveals a consistent trajectory in multiscale homogenization techniques, evolving from foundational work on two-scale convergence (2010-2013) to sophisticated treatments of arbitrary spatial-temporal scales (2017-2024). Recent publications demonstrate expansion into educational applications, notably her 2022 work on organizational learning tools for higher education course development, indicating interdisciplinary reach beyond pure mathematics. Her doctoral thesis G-Convergence and Homogenization of some Monotone Operators (2008) and licentiate thesis Reiterated homogenization and G-convergence for some sequences of monotone operators (2005) established her foundational contributions to the field. She has maintained sustained research productivity through collaborations with prominent mathematicians including Flodén, Holmbom, and Persson across institutions.

• Wireless Communication
• Network Optimization
• Energy Efficiency in Networks
• +۵ مورد دیگر

Anders Västberg is a Lecturer at KTH Royal Institute of Technology within the Department of Communication Systems. His work spans teaching and examination roles across various courses in computer science, electrical engineering, and information and communication technology (ICT) innovation, including Wireless Communication Systems , Mobile Networks , and Programming of Parallel Systems . Teaches courses like Internet of Things and Introduction to Computer Security . Examiner for advanced-level degree projects in embedded systems and communication systems. Focuses on wireless networking, heterogeneous networks, and energy-efficient network design. His research interests include energy efficiency in telecommunications , green radio systems , and network optimization . Recent work explores power consumption in backhaul systems , heterogeneous network deployment , and signal propagation in ionospheric channels . Articles highlight trends in green networking , starting with 2016 studies on cell DTX and heterogeneous networks , followed by 2013 work on backhaul optimization and wideband efficiency . Earlier papers (1997–2008) focus on ionospheric signal distortion and HF channel analysis .

• Graph Data Mining

Tianyi Zhou is a doctoral student and researcher at the Division of Theoretical Computer Science , KTH Royal Institute of Technology, Sweden. Supervised by Professor Aristides Gionis, his work is funded by the ERC project REBOUND . He is also affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP). Research Interests Graph data mining Recent Article Trends His recent publications explore opinion dynamics through timeline algorithms and low-rank updates (2024), as well as heterogeneous information networks in social coding (2021). These works bridge graph theory, social network analysis, and computational modeling. Teaching Roles Assistant for Advanced Algorithms (DD2440) Assistant for Introduction to the Philosophy of Science and Research Methodology for Computer Scientists (DA2210) Assistant for Machine Learning (DD2421) Assistant for Software Engineering Fundamentals (DD2480) Grants Research supported by the ERC project REBOUND .

• Mathematical Modeling
• Numerical Methods
• Mass Transport in Soft Porous Materials
• +۴ مورد دیگر

Tobias Gebäck is an Associate Professor at Chalmers University of Technology's Applied Mathematics and Statistics department, affiliated with the SuMo Biomaterials research center. His work focuses on mathematical modeling and numerical methods for mass transport in soft porous materials , with applications in drug delivery systems and absorbent product development . He also investigates charged particle transport mechanisms relevant to cancer radiation therapy . Key research areas: mathematical modeling, numerical methods, transport in porous media, radiation therapy applications Active collaborations: SuMo Biomaterials research center Recent publications emphasize stochastic modeling of 3D structures , Lattice Boltzmann simulations for transport phenomena in complex materials, and multi-scale diffusion analysis of bio-based systems. This work connects fundamental mathematics with industrial applications in pharmaceutical and consumer product development.

Praveen Kumar Dontaمشاهده پروفایل

دانشیار

• Distributed Computing Continuum Systems
• Learning Techniques in IoT
• AI/ML for Computing Systems
• +۵ مورد دیگر

Praveen Kumar Donta is an Associate Professor (Docent) and Senior Lecturer at the Department of Computer and Systems Sciences, Stockholm University, Sweden. His research focuses on distributed computing continuum systems, learning-driven approaches for IoT and edge computing, and intelligent data protocols. He leads the Distributed Immersive Participation research group which investigates how humans and things can be more connected and exchange information in real and virtual societies. Education: Ph.D. in Computer Science & Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad (2021) Visiting Ph.D. Fellow at Mobile&Cloud Lab, University of Tartu, Estonia (2019-2020) Master in Technology from JNTUA, Ananthapur (2014) Bachelor in Technology from JNTUA, Ananthapur (2012) Dr. Donta's research centers on distributed computing continuum systems that integrate cloud, edge, and IoT devices to deliver scalable and low-latency computing resources. His work explores learning techniques in IoT, AI/ML for computing systems, cognition and causality in computing systems, and cyber-physical continuum applications. He investigates how human body analogies can inform the design of more resilient and efficient distributed systems, as well as developing frameworks for privacy enforcement, equilibrium in computing continuum systems, and energy-efficient user interactions with smart environments. His research has significant applications in smart city management, satellite services, and intelligent transportation systems. Dr. Donta's publication record demonstrates a strong focus on the intersection of distributed systems, machine learning, and privacy-preserving technologies. His recent work shows an increasing emphasis on human-inspired approaches to distributed computing, with particular attention to making these systems more interpretable, efficient, and adaptable. His research spans theoretical foundations of computing continuum systems to practical implementations in areas like satellite services, smart environments, and anomaly detection. Scientific Awards and Recognition: IEEE Senior Member ACM Professional Member Dr. Donta serves as an editorial board member for several prestigious journals including IEEE Internet of Things Journal, Computing (Springer), Transactions on Emerging Telecommunications Technologies (Wiley), Measurement, and Computer Communications (Elsevier). He actively mentors the next generation of researchers, currently supervising PhD student Alfreds Lapkovskis and co-supervising Shubham Vaishnav. His research is supported by projects such as the Heterogeneous Computing Continuum for a Sustainable Smart City Management (HCSCM), which aims to develop scalable, secure solutions for urban environments by integrating IoT, edge, and cloud computing. As part of the Distributed Immersive Participation research group, Dr. Donta collaborates with researchers across disciplines to explore how technological advances enable humans and things to be more connected. The group focuses on application areas such as culture, transport, intelligent vehicles and e-health, developing solutions that enhance participation in both real and virtual societies.

Arne Östmanمشاهده پروفایل

استاد

• Tumor Microenvironment
• Cancer Biology
• Fibroblast Signaling
• +۲ مورد دیگر

Arne Östman is a Senior Professor at the Department of Oncology-Pathology, Karolinska Institutet , specializing in tumor microenvironment research. His work bridges pre-clinical studies and clinical applications, focusing on cancer-associated fibroblasts (CAFs), PDGF signaling, and biomarker development for drug targeting. Key Research Themes: Tumor-stromal interactions CAFs in breast, prostate, ovarian, colorectal, and kidney cancers Novel spatial tissue profiling methods Drug target identification in stromal cells Recent Articles highlight PDGF system roles, FAP+ fibroblasts, and NRF2 in metastasis across multiple tumors. Collaborations include SciLifeLab , clinical researchers, and pharmaceutical partners. Scientific Contributions include grants from the Swedish Cancer Society (80 million SEK) and Radiumhemmet (33 million SEK) for tumor microenvironment studies. His team has identified CAF subtypes and stromal-immune crosstalk mechanisms with clinical utility.

• Proteomics
• Clinical Medicine
• Prostate Cancer
• +۵ مورد دیگر

Johan Malm is a Professor at Lund University , affiliated with multiple departments including: Clinical Chemistry, Malmö Department of Translational Medicine Clinical Protein Science and Imaging EpiHealth: Epidemiology for Health LUCC: Lund University Cancer Centre (Principal Investigator) Research Interests: His work spans Proteomics , Clinical Medicine , and Computational Biology , focusing on: Melanoma proteome dynamics and treatment strategies Tumor microenvironment heterogeneity Biomarker discovery using mass spectrometry Hormonal impacts on metabolism and immunity AI integration in cancer diagnostics European Cancer Moonshot biobanking initiatives Recent Article Trends: His publications emphasize proteogenomic profiling , mitochondrial-targeted therapies , and AI-driven cancer progression prediction . Key methodologies include mass spectrometry, spatial proteomics, and computational modeling. Projects: He leads research initiatives funded by: Mrs. Berta Kamprad's Cancer Foundation Interreg Öresund-Kattegat-Skagerrak EU Cancer Moonshot programs Labs & Teams: Active in LUCC (Lund University Cancer Centre) and ReproUnion platforms, with collaborations across European institutions in sepsis and cancer research.

• Inverse Problems
• Machine Learning for Imaging
• Numerical Analysis
• +۵ مورد دیگر

Ozan Öktem is a Professor at KTH Royal Institute of Technology , specializing in applied mathematics with a focus on inverse problems, machine learning, and numerical analysis. He works in the Division of Numerical Analysis, Optimization and Systems Theory and develops theory and algorithms for solving inverse problems, particularly in medical imaging and cryogenic electron microscopy (Cryo-EM). His research integrates mathematical analysis, machine learning, and numerical methods to address challenges in recovering hidden model parameters from indirect observations. He emphasizes regularization techniques to stabilize ill-posed problems and computational feasibility for large-scale applications. Key areas include tomographic reconstruction, deep learning-based methods, and applications in biomedical imaging. Recent publications highlight his work on learned primal-dual architectures for CT, Riemannian geometry in protein dynamics analysis, and regularization strategies for Cryo-EM. Collaborations span computational biology, medical imaging, and optimization. He serves as course responsible for advanced courses in differential equations, inverse problems, and scientific computing.

Pierfrancesco Pagellaمشاهده پروفایل

دانشیار

• Bioengineering
• Stem Cell Biology
• Tissue Engineering
• +۶ مورد دیگر

Pierfrancesco Pagella is an Associate Professor (Docent) at Linköping University , affiliated with the Department of Physics, Chemistry and Biology (IFM) and the Biophysics and Bioengineering (BBIOBIO) division. His research focuses on unraveling mechanisms of organ and cell diversity to engineer 3D human organs with functional innervation, vascularization, and immune compartments, particularly in the oro/craniofacial complex (e.g., teeth, oral cancers). PhD in Molecular Life Sciences (2011–2015), University of Zurich/ETH Zurich Postdoctoral Fellow at Linköping University (2021–2023) and University of Zurich (2015–2017) His work integrates stem cell biology , tissue engineering , organ-on-chip systems , and genomics/proteomics to model developmental processes and diseases. Key contributions include a Tooth-On-Chip microfluidic device, studies on Wnt/β-catenin signaling in transcriptional regulation, and the role of Nogo-A in tooth enamel formation. Recent publications explore single-cell RNA sequencing in dental pulp remodeling, TBX3-Wnt interactions in colorectal cancer metastasis, and Notch signaling in tooth lineage specification. His research also develops CUT&RUN protocols for studying transcriptional co-factors and investigates tumor suppressor p53 in carcinoma regulation. He teaches Biotechnology Manufacturing , Production of Biopharmaceuticals , and Design of Biotechnical Processes courses. His laboratory affiliations include the Biophysics and Bioengineering (BBIOBIO) and Molecular Materials (BBMOLMAT) groups at Linköping University, focusing on multidisciplinary biomedical applications.

Christer Åhlundمشاهده پروفایل

استاد

• Network Protocols
• Internet of Things
• Cloud Computing
• +۷ مورد دیگر

Christer Åhlund is a Professor and Head of Subject in Pervasive and Mobile Computing at Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering. He is based in Skellefteå and leads research in distributed computer systems. University: Luleå University of Technology School: Department of Computer Science, Electrical and Space Engineering Department: Computer Science Position: Professor and Head of Subject Professor Åhlund's research interests span network protocols, IoT, cloud-based and distributed data processing, AI/ML, performance analysis, and cybersecurity. For over a decade, his research has focused on digital solutions for societal functions, particularly 'Smart Cities/Regions.' His work integrates theoretical foundations with practical applications to address real-world challenges in urban and regional development. His approach combines technical expertise with an understanding of societal needs, creating solutions that are both innovative and implementable in real-world settings. His research demonstrates a strong trend toward integrating AI/ML techniques with distributed systems to create intelligent, responsive infrastructure. The focus on Quality of Experience (QoE) in heterogeneous networks shows his commitment to user-centered design in technical systems. His recent work on anomaly detection in energy systems and XR applications demonstrates the expanding scope of his research into new application domains. ENiSDA project ESUDA project ACECyberSafe project SSiO project Professor Åhlund has supervised numerous PhD students whose work focuses on smart applications, IoT, machine learning in various contexts, and network resource management. His leadership extends beyond direct supervision to establishing research centers, including 'Security in Society and Critical Infrastructures' at LTU in 2016. He previously served as Scientific Director for LTU's 'Enabling ICT' research and innovation area from 2013-2019 and as department head from 2003-2012. He currently teaches Applied Computer Security, Internet Security, Data Science programming, and Advanced Computer Networks, drawing on his extensive industry experience (12 years in ICT) to bridge theory and practice for students.

• Participatory methods
• Gaming simulation
• Modelling and simulation
• +۷ مورد دیگر

Maksims Kornevs serves as an Adjunct Lecturer at KTH Royal Institute of Technology's School of Engineering, Division of Health Informatics and Logistics since 2021, specializing in data communication, medical engineering, and healthcare complexity research. His academic journey includes a PhD in Technology and Health from KTH (2019), Master's and Bachelor's degrees in Information Technology and Computer Science from Riga Technical University (top 1% of class). Doctor of Philosophy in Technology and Health (KTH, 2019) Master of Engineering Sciences in Information Technology (Riga Technical University, 2013) Bachelor of Engineering Sciences in Computer Control (Riga Technical University, 2011) His research spans participatory methods, gaming simulation, healthcare logistics, and mental health systems , with significant focus on complex adaptive systems in public sectors. Recent work integrates AI-driven decision aids for cancer screening and eldercare digitalization, emphasizing real-world implementation challenges through ethnographic studies and simulation frameworks. Publications (2014-2024) reveal three thematic clusters: 1) Healthcare simulation ( elderly care, frailty prevention, mental health systems ), 2) Logistics optimization ( port operations, road procurement, supply chain ), and 3) Serious games applications ( public servant training, engineering education ). Cross-cutting methodologies include Q methodology, system dynamics, and participatory design. As Principal Investigator, he leads multiple funded projects including Digital Decision Aid for Cancer Screening (49.5 kSEK, 2023-2024) and Computer Technology for Piano Learning (21 kSEK, 2024), demonstrating applied research translation. He previously managed KTH's Integration Lab supporting home care research and contributed to EU projects like POSITIVE (elderly monitoring systems) and ELISA (port digitalization).

Karl Anderssonمشاهده پروفایل

استاد

• Cybersecurity
• 5G/6G Networks
• Internet of Things
• +۳ مورد دیگر

Professor Karl Andersson serves as Dean for the Faculty of Science and Technology and Head of Subject for Cyber Security at Luleå University of Technology in Skellefteå, Sweden. He holds positions in both the Department of Computer Science and the Department of Systems and Space Engineering, with research focus primarily in cybersecurity and next-generation network technologies. Dr. Andersson earned his Master's degree in Computer Science and Technology from the Royal Institute of Technology in Stockholm before working in industry with Capgemini Group as a consultant, project manager, business developer, and branch manager. He returned to academia to complete his PhD with a dissertation titled "On Access Network Selection Models and Mobility Support in Heterogeneous Wireless Networks." His postdoctoral work included research appointments at Columbia University in New York and as a JSPS Fellow at the National Institute of Information and Communications Technology in Tokyo. His research interests span cybersecurity, 5G/6G networks, Internet of Things, wireless network mobility, and explainable artificial intelligence. From 2017-2023, he led the Center for Distance-spanning Technology at LTU, focusing on fifth and sixth generation mobile networks, IoT, and data centers. His recent publications demonstrate a growing interest in applying machine learning to cybersecurity challenges and medical diagnostics. Professor Andersson's publication record shows a strategic evolution from wireless networking fundamentals to applied cybersecurity and machine learning solutions. His recent 2025 publications indicate active research in explainable AI frameworks, malicious URL detection, and medical applications of machine learning, suggesting an interdisciplinary approach that bridges cybersecurity with healthcare applications. Senior Member of IEEE Senior Member of ACM General Chair for IEEE Conference on Local Computer Networks (LCN) 2020-2021 Reviewer for numerous prestigious journals including IEEE Transactions on Mobile Computing and IEEE Transactions on Computers Member of editorial boards for Journal of Internet Services and Information Security and Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications As Dean for the Faculty of Science and Technology since January 2022, Professor Andersson oversees significant research funding and academic programs. His service as a reviewer for major conferences (ICC, Globecom, VTC, WCNC) and journals demonstrates his standing in the academic community. The Center for Distance-spanning Technology that he led from 2017-2023 likely secured substantial research grants in 5G/6G and IoT domains. Based in Campus Skellefteå at Forskargatan 1, Professor Andersson's work through the Department of Computer Science and Department of Systems and Space Engineering connects theoretical research with practical applications in next-generation networking and security. His leadership of the Center for Distance-spanning Technology positioned LTU as a significant player in 5G/6G research, while his recent publications suggest expanding collaborations with medical researchers applying AI to healthcare challenges.