جستجوی استاد راهنمای دانشگاهی

• 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).

• Discrete Mathematics
• Cryptography
• Mathematical Analysis
• +۹ مورد دیگر

Johnny Panrike is a Lecturer at KTH Royal Institute of Technology working in the Division of Health Informatics and Logistics. He holds an MSc in Mathematics and Computer Science with extensive teaching experience across both disciplines and currently pursues advanced studies in real analysis. Education: MSc in Mathematics and Computer Science Currently enrolled in Advanced Real Analysis I at KTH/SU Research Focus: His core expertise centers on Discrete Mathematics and Cryptography, evidenced by authoring a specialized textbook. Current mathematical interests include deepening knowledge in Measure Theory, Integration Theory, and Functional Analysis through active coursework. In computer science, he specializes in low-level programming instruction (C/C++ systems programming) and object-oriented paradigms across multiple languages. His pedagogical innovations include virtual machine deployment to streamline software installation for students, while development cooperation work with Sri Lanka's Sarvodaya NGO reflects applied intercultural engagement. Professional Activities: He has supervised numerous thesis projects and course-based student work. Career interludes include professional training as a breathwork therapist in Denmark and alternative pedagogy studies in India. His teaching portfolio spans foundational mathematics courses (analysis, linear algebra, combinatorics) and comprehensive computer science instruction from introductory to advanced levels. Additional Context: Acknowledges statistics and networking as technical weak spots while maintaining active involvement in both teaching and personal academic development.

Jonas Willénمشاهده پروفایل

مدرس

• Health Informatics
• Sports Technology
• Wearable Sensor Systems
• +۷ مورد دیگر

Jonas Willén is a Lecturer at KTH Royal Institute of Technology, working within the Division of Health Informatics and Logistics. He serves as Program Director for the MSc in Sports Technology and Director of RIU (National Sports University) at KTH. His professional focus centers on developing technological solutions to improve quality of life through health and sports applications. Willén's research interests span health informatics and sports technology, with particular emphasis on wearable sensor systems, data synchronization, and applications for assisted living. His work addresses critical issues in elderly care, such as developing mobile security alarm systems that overcome the limitations of current home-bound solutions. He also focuses on sports instrumentation for performance analysis and coaching, with applications for both elite athletes and general fitness. His publication record from 2011-2025 shows consistent research in sensor networks, wearable technology, and applications in healthcare and sports. The research trends indicate a progression from foundational work on data synchronization and sensor networks toward more applied solutions in health monitoring and sports performance analysis. His recent work demonstrates increasing focus on real-world implementation of these technologies. As an educator, Willén teaches multiple courses including FullStack Development and DevOps, Health and Sports Instrumentation, Medical Engineering, Mobile Applications and Wireless Networks, and Sports Technology and Instrumentation. His teaching reflects his research interests, bridging theoretical knowledge with practical applications in technology development. Willén's professional philosophy emphasizes technology's potential to evolve human capabilities, particularly in health and sports contexts. His work consistently aims to translate technical solutions into tangible benefits for end users, whether seniors needing reliable security systems or athletes seeking performance insights.

• Neuroscience
• Cognitive Psychology
• Autism Research
• +۲ مورد دیگر

Janina Neufeld is a Visiting Researcher at the Swedish Collegium for Advanced Study (SCAS) in Uppsala, Sweden, with contact email janina.neufeld@swedishcollegium.se. Her work focuses on interdisciplinary neuroscience and psychological research within an independent advanced study institution. Her primary research interests include Neuroscience , Cognitive Psychology , Autism Research , Developmental Psychology , and Synesthesia . She employs diverse methodologies ranging from large-scale neuroimaging analyses to computational tool development and twin study designs to investigate neurodevelopmental patterns, perceptual phenomena, and clinical manifestations in autism spectrum disorders. Analysis of her recent publications reveals a consistent trajectory in developmental neuroscience with strong emphasis on methodological innovation. Her work bridges computational approaches (e.g., R package development for synesthesia research) with clinical investigations (e.g., gender-specific eating problems in autism), demonstrating expertise in both technical tool creation and population-based neurodevelopmental studies. The publications show increasing focus on sex/gender variables and large cohort analyses. No scientific awards are documented in the provided materials. There is no available information regarding student advising, grant funding, laboratory affiliations, or research teams in the given text.

Nikolai Piskunovمشاهده پروفایل

استاد

• Astronomy
• Astrophysics
• Stellar Spectroscopy
• +۵ مورد دیگر

Nikolai Piskunov is a Professor in the Department of Physics and Astronomy at Uppsala University, Sweden, specializing in high-resolution spectroscopy applications for stellar and exoplanetary research. His work bridges observational astronomy, theoretical modeling, and instrument development. His primary research interests include: Stellar spectroscopy and atmospheric analysis Exoplanet detection and characterization Stellar magnetic field mapping and analysis Doppler imaging techniques for stellar surface mapping Development of spectroscopic instrumentation and data analysis methods Chemical abundance studies of various stellar types Professor Piskunov's recent publications reveal a strong focus on cutting-edge research using instruments like CRIRES+ on the Very Large Telescope. His work spans from detailed studies of stellar magnetic fields in chemically peculiar stars to groundbreaking analyses of exoplanet atmospheres, particularly ultra-hot Jupiters. His research group has made significant contributions to understanding atmospheric dynamics, chemical compositions, and temperature structures in both stellar and planetary systems. He has developed or contributed to several important software tools for astronomical spectroscopy, including the widely used Spectroscopy Made Easy (SME) package and its Python implementation PySME. His work on optimal extraction of echelle spectra has significantly improved data reduction methodologies in the field. Professor Piskunov maintains extensive international collaborations across Europe and has contributed to major instrumentation projects including CRIRES+ and future instruments for the Extremely Large Telescope. His research continues to evolve with current trends in astronomy, particularly in the rapidly developing field of exoplanet characterization where high-resolution spectroscopy provides unprecedented insights.