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Erik SchaffernichtView profile

Senior Lecturer

• Robotics
• Sensor Systems
• Machine Learning
• +6 more

Erik Schaffernicht serves as a Senior Lecturer in the Department of Natural Sciences and Technology at Örebro University's School of Science and Technology. His research is primarily conducted through the Center for Applied Autonomous Sensor Systems (AASS) where he leads work in the Adaptive and Interpretable Learning Systems and Robot Navigation and Perception research groups. Dr. Schaffernicht's research spans multiple areas in robotics and artificial intelligence, with particular expertise in sensor systems, behavior trees, and gas distribution mapping. His work bridges theoretical computer science with practical applications in autonomous systems, environmental monitoring, and human-robot interaction. His research often involves developing novel algorithms for robot perception, control, and decision-making in complex environments. His recent publications demonstrate a strong focus on behavior trees for robot control, gas distribution mapping techniques, and applications of machine learning in robotics. The research shows increasing sophistication in using deep learning approaches for environmental sensing and robot navigation, with applications ranging from industrial safety to healthcare monitoring. Dr. Schaffernicht maintains an active research agenda with numerous publications in top robotics and AI venues, including IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, and various IEEE conference proceedings. His work shows consistent collaboration with researchers across Europe, particularly with the AASS research center at Örebro University. His research projects include both ongoing work on automatic cognitive screening tests using eye-tracking technology and completed projects such as AIR (Action and Intention Recognition), RAISE (Robotic System for Air Quality Assessment), and SmokeBot (Mobile Robots for Disaster Site Inspection).

• Participatory methods
• Gaming simulation
• Modelling and simulation
• +7 more

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).

• Otolaryngology
• Middle Ear Biomechanics
• Tympanic Membrane Regeneration
• +3 more

Magnus von Unge serves as Professor at the Centre for Clinical Research, County of Västmanland, affiliated with Uppsala University's Faculty of Medicine. His clinical work is based at Västmanlands sjukhus in Västerås, Sweden, where he conducts research and surgical practice in otology. His research focuses on middle ear biomechanics, tympanic membrane regeneration, and biofilm-related infections. Key areas include ossicular chain fixation diagnostics using laser vibrometry, development of novel ossicular prostheses, and investigation of antimicrobial solutions for biofilm eradication. His work bridges clinical otology with biomedical engineering, particularly in developing diagnostic tools for middle ear pathologies. Analysis of his 15 most recent publications reveals consistent focus on translational otology research. His work demonstrates methodological innovation in laser vibrometry applications, temporal bone experimentation, and tissue engineering approaches to tympanic membrane repair. Recent publications show expanding interest in biofilm eradication techniques and 3D bioprinting applications for tissue-specific architectures. Professor von Unge actively collaborates with multidisciplinary teams across European institutions, with frequent co-authorship from researchers in Belgium, Finland, and Norway. His research group maintains strong connections with the Department of Surgical Sciences at Uppsala University, particularly in otolaryngology and biomechanics.