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Gesine RichterView profile

Researcher

• Medical Ethics
• Research Ethics
• Biobanking
• +3 more

Gesine Richter is a Researcher at the Institute of Experimental Medicine within the Faculty of Medicine at Kiel University, specializing in the ethical, legal, and social dimensions of medical data and biobanking. Holding a doctorate in medicine (Dr. rer. medic.), an MA in political science, and an MBA in higher education management, she bridges clinical, legal, and administrative perspectives in health research ethics. Her educational background includes: Doctorate in Medicine (Dr. rer. medic.) Master of Arts in Political Science MBA in Higher Education and Science Management Richter's research centers on consent frameworks for secondary medical data use, with emphasis on biobank governance, data donation models, and pediatric/adolescent inclusion. She investigates public and patient attitudes toward data sharing, ethical challenges in public-private health data partnerships, and cross-national regulatory comparisons. Her work directly informs policy through advisory roles for the University Hospital of Schleswig-Holstein's biobanks and Kiel Medical Faculty researchers. Analysis of her 2018-2024 publications reveals consistent focus on consent innovation (broad consent, dynamic models), societal trust in data reuse, and ethical infrastructure for health data ecosystems. Her interdisciplinary approach spans bioethics, health informatics, and public policy, employing mixed-methods surveys to address tensions between research advancement and individual privacy across German and international contexts. As an active member of the Institute of Experimental Medicine's working group, Richter contributes to projects in medical ethics, clinical ethics consultation, and evolutionary medicine. She provides critical research ethics guidance to institutional biobanks and scientists, shaping responsible data practices in Schleswig-Holstein's medical research landscape.

Klaus ThelenView profile

Professor

• Automotive Electronics
• Analog and Digital Circuits
• Microcontroller Technology
• +5 more

Prof. Klaus Thelen is a Professor of Analog and Digital Circuits, Microcontroller Technology, and Automotive Electronics at Ruhr-West University of Applied Sciences. He heads the Institute of Measurement and Sensor Technology and serves as program director for the Bachelor's degree in Automotive Electronics and Electric Mobility, which has been offered since the winter semester of 2017. Dr. Thelen earned his Electrical Engineering degree from RWTH Aachen University, completing his diploma thesis at the Max Planck Institute in Grenoble in 1990. He received his doctorate from ETH Zurich in 1993 for research on optoelectronic integrated circuits based on GaAs. Before academia, he held significant industry positions at Philips Semiconductors (NXP) and Helbako GmbH, focusing on CMOS circuit optimization and automotive electronic control units. His research spans automotive electronics, analog/digital circuit design, microcontroller applications, and advanced sensor technologies. Dr. Thelen specializes in automotive safety systems, temperature measurement techniques, and electromagnetic applications, with particular emphasis on child safety monitoring, radar-based detection systems, and thermal management solutions for automotive electronics. Dr. Thelen's recent publications demonstrate a strong focus on automotive safety innovations, especially child protection systems using radar and sensor technologies. His work bridges electrical engineering principles with practical automotive applications, emphasizing measurement accuracy and system reliability in challenging environments. Developed the Bachelor's program in Automotive Electronics and Electric Mobility Established university cooperation with Qingdao University of Science and Technology Created international partnerships with Wayne State University in Detroit Holds patent for contactless temperature determination in cooking devices Serves as VDE contact lecturer At Ruhr-West University, Dr. Thelen teaches across the Automotive Electronics curriculum, including Introduction to Automotive Electronics, Digital Systems-Microcontroller Technology, and Electrodynamics for the Master's program. His teaching emphasizes practical applications of electronic systems in modern vehicles, preparing students for careers in the rapidly evolving automotive industry.

Ajitha RajanView profile

Professor

• Software Testing
• Software Verification
• Test Automation
• +6 more

Ajitha Rajan is a Professor (Personal Chair of Software Testing & Verification) at the School of Informatics, University of Edinburgh. She joined the university in December 2012 as a Reader (equivalent to Associate Professor in American terms) and was promoted to Professor in 2024. Prior to her position at Edinburgh, she held postdoctoral positions at Oxford University and Laboratoire d'Informatique de Grenoble in France. She earned her PhD in Computer Science from the University of Minnesota in August 2009 under Professor Mats Heimdahl. Her research focuses on two primary directions: Automated Software Testing (including test input generation, test oracles, and coverage measurement) and Biomedical AI (particularly cancer survival models and interpretability for biological sequences and medical images). Her work has applications in safety-critical systems, blockchains, embedded systems, and medical diagnostics. She has made significant contributions to explainable AI for healthcare applications, especially in lung cancer detection and cancer survival analysis. Her recent publications demonstrate a strong trend toward interdisciplinary research at the intersection of software engineering and biomedical applications. She has numerous publications in top venues including ICSE, ASE, and healthcare-focused conferences. Her work increasingly focuses on making AI systems more interpretable and trustworthy, particularly in medical contexts where model decisions can have life-or-death consequences. ACM SIGSOFT Distinguished Reviewer Award, ISSTA 2025 Best Paper Award at ICHI 2025 Promoted to Professor (Chair in Software Testing & Verification) 2024 SICSA Best Supervisor Award 2024 ACM Distinguished Paper Award 2008 Professor Rajan actively supervises PhD students in both software testing and biomedical AI domains. She leads several funded projects including MANIFEST (a cancer immunotherapy response research platform), a Huawei Joint Lab project on RobustCheck, a Royal Society Industry Fellowship on AutoTest, and the KATY project on clinical knowledge for personalized medicine. Her research group includes current PhD students working on explainable AI for medical image analysis, scenario-based testing for autonomous driving, and protein design applications.

• Artificial Intelligence
• Machine Learning
• Data Science
• +5 more

Professor Kristina Schädler is a faculty member at the West Coast University of Applied Sciences (FH Westküste), where she serves as Professor of Data Processing within the School of Technology. She has been with the university since 2005 and also served as Dean of the Department of Technology. Her academic background includes a PhD in machine learning from TU Berlin, where she was awarded the Chorafas Research Prize for young scientists. West Coast University of Applied Sciences (since 2005) TU Berlin, Institute of Computer Science (1994-1999) Martin Luther University Halle/Wittenberg (1990-1994) Professor Schädler's research focuses on artificial intelligence and machine learning applications, particularly in image processing and data analysis. Her work spans multiple domains including industrial automation, agricultural technology, renewable energy, and animal husbandry. She has led numerous research projects that bridge academic theory with practical industrial applications, with particular emphasis on developing robust image processing systems that can be deployed in real-world settings. Her research portfolio demonstrates a consistent pattern of applying advanced machine learning techniques to solve practical problems across diverse industries. The ANIMET project, which developed facial recognition for horses, and the MaviSeg system for multichannel image segmentation represent her innovative approach to adapting computer vision technologies for specialized applications. Her work often involves close collaboration with industry partners to ensure practical relevance and implementation. Chorafas Research Prize for young scientists Innovationspreis at Equitana (2013) for the ANIMET project Professor Schädler has supervised numerous student theses that have resulted in practical applications across various domains. Her research group has secured funding from multiple sources including the European Commission, BMBF, and regional development agencies. She has established the CICAD project as a sustainable competence center for industrial image processing, which has trained multiple doctoral students through cooperative programs with the University of Lübeck. Her work demonstrates strong industry connections with companies like HIT Hinrichs Innovation + Technik, MBJ Solutions, and Fischer und Tausche Kondensatoren. Her research laboratory focuses on industrial image processing applications, with specialized equipment for 2D/3D imaging, spectral analysis, and machine learning implementation. The CICAD project established a dedicated competence center that continues to develop new applications of image processing technology across multiple industries.

Ralf BrunsView profile

Professor

• Data stream processing
• Evolutionary algorithms
• Machine learning
• +6 more

Prof. Dr. Ralf Bruns is a full-time Professor in the Department of Computer Science at the Faculty of Business and Information Technology, Hannover University of Applied Sciences and Arts. His office is located at Ricklinger Stadtweg 120, 30459 Hanover, with direct contact available via phone (+49 511 9296 1817) and email. His research focuses on cutting-edge computational methodologies including: Real-time data stream processing systems Bio-inspired algorithms ( evolutionary and swarm intelligence ) Machine learning applications in enterprise systems Semantic Web technologies for knowledge representation Software architecture patterns for event-driven systems Complex Event Processing (CEP) frameworks His publications demonstrate a consistent focus on event-driven architectures applied to logistics, healthcare, IoT, and urban mobility systems. Recent work emphasizes agent-based modeling and real-time analytics for decision support in dynamic environments. Prof. Bruns leads two key research initiatives: the Software Architecture Working Group (AG SWA) and the Smart Data Analytics Research Cluster . He also serves as faculty representative in the Fachbereichstag Informatik (FBTI) and contributes to academic selection committees.