جستجوی استاد راهنمای دانشگاهی

Håkan Örmanمشاهده پروفایل

دانشیار

• Health Informatics
• E-health
• Biomedical Engineering
• +۷ مورد دیگر

Håkan Örman is an Associate Professor at the Department of Biomedical Engineering, Linköping University, within the Faculty of Science and Engineering. He is actively engaged in teaching, research, and academic leadership, including serving as Chairman of the Board of Studies for Electrical Engineering, Physics, and Mathematics. His work bridges engineering and healthcare through digital innovation. His research focuses on health informatics and e-health , particularly in developing information models, ontologies, and knowledge representation systems to create interconnected, learning healthcare ecosystems. He advocates for rational use of digital tools to enhance accessibility, safety, and personalization in healthcare. The recent publications highlight a strong trend in digital health infrastructure , interoperability standards (e.g., openEHR, SNOMED CT), and educational development in engineering and health informatics. His work spans technical architecture, semantic modeling, and pedagogical innovation. Håkan is passionate about pedagogical development and views students as co-creators of knowledge. He teaches in the Master’s program in Biomedical Engineering, the Medical Program, and interdisciplinary eHealth courses. He collaborates with Didacticum for educational advancement and emphasizes dialogue, reflection, and sustainable skill development. He is involved in interdisciplinary initiatives at Linköping University, where students from medicine and engineering jointly develop digital health solutions. This reflects his commitment to collaborative, real-world problem solving and institutional investment in e-health education and research.

Eric Knaussمشاهده پروفایل

استاد

• Requirements Engineering
• Software Ecosystems
• Global and Cross-Organizational Software Development
• +۵ مورد دیگر

Eric Knauss is a Professor at the Department of Computer Science and Engineering, jointly affiliated with Chalmers University of Technology and University of Gothenburg. His research focuses on requirements engineering in large-scale agile systems, particularly addressing challenges in distributed software development, knowledge management, and stakeholder coordination. Research Interests: Requirements Engineering, Software Ecosystems, Agile Methods, Collaborative Traceability, and Digitalization. Students Supervised: Rashidah Kasauli (PhD), Rebekka Wohlrab (PhD). Eric's publications emphasize managing boundary objects in agile contexts, API fitness dimensions, and traceability practices. His work often involves empirical studies in automotive and FOSS ecosystems, highlighting communication patterns and tool support for requirement coordination. Awards: Best Paper Award (ICSA’19).

• Functional Programming
• Domain-Specific Languages
• Climate Impact Research
• +۷ مورد دیگر

Patrik Jansson is a Professor of Computer Science at Chalmers University of Technology since 2011, with joint affiliation to Gothenburg University. His work bridges Functional Programming, Domain-Specific Languages (DSLs), and applications to Climate Impact Research, Fusion, and Physics.

Marcus Nyströmمشاهده پروفایل

پژوهشگر

• Eye Tracking
• Human-Computer Interaction
• Cognitive Science
• +۲ مورد دیگر

Marcus Nyström is a Researcher at Lund University Humanities Lab and part of the eSSENCE: The e-Science Collaboration . He holds a PhD in Information Theory (2008) and was appointed Associate Professor of Ergonomics in 2015. His work focuses on eye tracking methodology , including instrument development and data analysis techniques. Research Areas : Eye Movement Physiology, Human-Computer Interaction, Cognitive Science, Deep Learning for Eye Tracking Projects : ADAPT2 (adaptive developer tools), GANDER (code review eye tracking), eSSENCE@LU (astronomy VR visualization) Recent publications analyze eye tracking fundamentals , deep learning frameworks , and multi-tracker systems . He contributes to journals like Behavior Research Methods and conferences on eye tracking research. His work intersects with UN Sustainable Development Goals related to Quality Education and Industry Innovation .

• Computer Science
• Language Technology
• Computer Didactics
• +۴ مورد دیگر

Viggo Kann is a Professor of Computer Science at the Royal Institute of Technology (KTH) in Stockholm, Sweden, holding this position since 2000. He serves as Director of Studies in the Theoretical Computer Science department at KTH's School of Electrical Engineering and Computer Science, a role he has maintained since 1998 with a brief interruption from 2012-2015. One-fifth of his time is dedicated to the Department of Learning, where he teaches courses on examinership and developing learning with grading criteria. He also chairs KTH's Language Committee and coordinates the director of studies network, PA network, PriU groups, and major institutional events. Professor Kann's research spans language technology and computer didactics, with current projects focusing on examination quality and diversity, cheating prevention, examiner training, and program-coordinating courses. His work bridges theoretical computer science with practical educational applications, particularly in assessment methodologies and educational technology. His recent publications reveal a strong emphasis on educational aspects of computer science, examining student behavior, programming fluency, and the impact of emerging technologies like ChatGPT on academic integrity. He has also published extensively on language technology, including grammar checking systems and natural language processing tools for Swedish language processing. As examiner and course coordinator, Professor Kann oversees multiple courses including Algorithms, Data Structures and Complexity (DD2350), Ethics in Introduction to Computer Science (DD1348), and various specialized degree projects across industrial economics, machine learning, systems engineering, robotics, and communication systems. His leadership in educational development initiatives at KTH demonstrates significant institutional influence in shaping educational policies and practices.