جستجوی استاد راهنمای دانشگاهی

Frida Heskebeckمشاهده پروفایل

پژوهشگر

• Brain-Computer Interfaces
• Machine Learning
• Control Engineering
• +۷ مورد دیگر

Frida Heskebeck is a Doctoral student at the Department of Automatic Control , Lund Institute of Technology , Lund University , and a member of the LTH Profile Area: AI and Digitalization . She actively contributes to the research group on EEG-based Brain-Computer Interfaces (BCI) led by Prof. Bo Bernhardsson . Research Focus: Optimization of next-generation BCI using cloud computing and individualization of real-time systems. Teaching: Delivers lectures, webinars, and lab sessions for courses like Process Control and Systems Engineering (2024), Physiological Models and Computations (2023), and Automatic Control (2021, 2020). Awards: Recipient of the Pedagogical Prize for best teaching assistant in 2021 (M-guild and W-guild) and Best Master's Thesis in 2020. Research Trends: Her recent articles focus on BCI calibration, real-time control, and cloud integration. Broad keywords include Control Engineering , Machine Learning , and Neuroscience , with sub-fields like Domain Adaptation , Signal Processing , and Online Teaching . Scientific Distinctions: Teaching assistant of the year (awarded by the M-guild) 2021 Teaching assistant of the year (awarded by the W-guild) 2021 Best Master's Thesis 2020 Advising and Collaborations: Supervision of master's theses for Tom Andersen (2021) and Johanna Wilroth (2020), where the latter received a scholarship. She also held roles in the department's board and organized seminars like the AI Lund lunch seminar in 2024.

• Image Processing
• Computer Vision
• Artificial Intelligence
• +۴ مورد دیگر

Shafiullah Soomro serves as Associate Professor in the Department of Artificial Intelligence at Quaid-e-Awam University of Engineering Science and Technology, Pakistan. He completed his Ph.D. in Application Software from Chung-Ang University, South Korea (2018), where he was honored as Best PhD Graduate. Ph.D., Application Software, Chung-Ang University (2018) His research spans medical image segmentation, computer vision, and AI applications in environmental monitoring. Specializing in automatic segmentation techniques using machine learning, he combines theoretical frameworks with practical biomedical implementations. Recent work integrates Swedish National Forest Inventory data with airborne laser scanning for forest attribute prediction. Current research projects include ForestMap (global forest cartography), AI-driven tree volume measurement (Sweden-Brazil collaboration), and machine learning models for predicting mechanical properties of oxynitride glasses. Best PhD Graduate, Chung-Ang University Dr. Soomro has mentored multiple MS students across Korea and Pakistan while supervising 2 Master's and 1 PhD students currently. His teaching portfolio includes 11 undergraduate, 2 MS, and 1 PhD courses such as Artificial Intelligence, Digital Image Processing, and Advanced Image Processing/Computer Vision. He actively contributes to academic curriculum design and research community development within the Computer Science and Artificial Intelligence department.

• Hydrology
• Hydrogeology
• Climate Change Impact on Water Resources
• +۴ مورد دیگر

Roland Barthel serves as Professor in the Department of Geosciences at the University of Gothenburg's Faculty of Science and concurrently holds the position of Vice-Dean for the Faculty Office of Natural Sciences and Technology. Previously Head of Department (2018-2022), he specializes in groundwater resources within the context of climate change impacts across Sweden and Europe. His research integrates hydrological science with socioeconomic factors to address critical water challenges including drought, scarcity, and extreme weather events. Barthel emphasizes the societal dimensions of water management, particularly regarding unregulated private wells that constitute a significant portion of Sweden's drinking water supply. His interdisciplinary approach bridges natural and social sciences to develop implementable solutions requiring consideration of economic, political, and social frameworks alongside physical system understanding. Analysis of his publication record reveals a dominant focus on data-driven methodologies for groundwater dynamics assessment, drought propagation analysis, and climate adaptation strategies. His work consistently emphasizes regional-scale studies in temperate and high-latitude environments, with increasing attention to interdisciplinary collaboration frameworks. Scientific recognition includes: Student Union's Pedagogical Award (2014) Student Union's Pedagogical Award (2016) As an educator, Barthel pioneered hydrology instruction at the university by developing the master's course Applied Hydrology (GVG460) and undergraduate Hydrology and Hydrogeology (GV2002). He leads Earth Sciences thesis supervision, chairs the program committee, and contributes to multiple geoscience courses. His teaching excellence earned three consecutive pedagogical award nominations with wins in 2014 and 2016. He currently participates in an EU Erasmus+ project developing digital teaching tools with European partners, addressing high market demand for groundwater specialists in Swedish infrastructure and environmental sectors.

Alexandros Sopasakisمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Medical Image Analysis
• +۳ مورد دیگر

Alexandros Sopasakis serves as an Associate Professor in the Department of Mathematics within the Faculty of Engineering at Lund University. Additionally, he holds dual roles as Application Expert for national research infrastructures CIPA (Correlative Image Processing and Analysis) and InfraVis (National Research Infrastructure for Data Visualization). His research expertise spans Mathematical Computer Vision and Machine Learning, with specialized focus on Machine Learning-based segmentation and annotation tool development. Current projects include segmenting glomeruli from synchrotron X-ray microtomography datasets and investigating diabetes through rat models with specific genetic mutations, revealing consistent organ enlargement regardless of gender or blood sugar levels. His work bridges theoretical mathematics with practical medical imaging applications in biological research. No scientific awards were documented in the source material. Similarly, graduate student mentorship details and research grant information remain unspecified. Dr. Sopasakis actively contributes to national research ecosystems through CIPA and InfraVis, providing critical expertise in image processing pipelines and data visualization solutions for complex scientific datasets.

Kalle Åströmمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +۲ مورد دیگر

Kalle Åström is a Professor at Lund University and serves as an application expert for the InfraVis project, focusing on infrastructure visualization applications. His research spans Artificial Intelligence with specialized expertise in Computer Vision , Machine Learning , and Image Processing . He applies these disciplines to infrastructure analysis, demonstrating extensive experience in developing and implementing AI-driven visualization tools for complex infrastructure systems. As an InfraVis application expert, he bridges theoretical AI research with practical infrastructure management solutions, emphasizing tool development for real-world engineering challenges.