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Gertraud StadlerView profile

Professor

• Health Psychology
• Prevention Research
• Gender Medicine
• +5 more

Prof. Dr. Gertraud Stadler serves as Professor for Gender-Sensitive Prevention Research and Director of the Institute of Gender in Medicine (GiM) at Charité - Universitätsmedizin Berlin. She also holds an Honorary Senior Lecturer position in Health Psychology at the University of Aberdeen's School of Medicine. Her academic journey includes significant roles at Columbia University, where she served as Postdoctoral Research Fellow and Managing Director of the Columbia Couples Lab, and later as Associate Research Scientist at the Mailman School of Public Health. Dr. Stadler's educational background includes a Diploma in Psychology from the University of Eichstätt-Ingolstadt (2000) and a Doctorate Summa Cum Laude from the University of Hamburg (2006), where she researched self-regulation of health behavior in collaboration with a major health insurance company. Her early career included research positions at the Max Planck Institute for Human Development in Berlin. Her research focuses on personalized prevention interventions and how individuals and couples can modify daily behaviors to maintain lifelong health and better manage illness. Three core research questions drive her work: strategies for sustainable health behavior change among women, men, and couples; the influence of social networks on health and well-being; and methods for valid and reliable reporting of behavior changes. Her work is characterized by interdisciplinary collaboration spanning medicine, nutritional sciences, nursing sciences, sports sciences, statistics, and technology. Analysis of her 15 most recent publications reveals a strong emphasis on couples-based health interventions, mobile health technologies, and longitudinal assessment methods. Her research consistently applies intensive longitudinal methodologies to understand health behavior change in real-world contexts, with particular attention to gender differences and dyadic processes. Key thematic areas include smoking cessation, physical activity promotion, medication adherence, and coping with chronic conditions. 2014 Early Career Award, Department of Health Psychology, International Association for Applied Psychology 2003-2004 Scholarship Abroad, German Academic Exchange Service (DAAD) 2002-2005 Scholarship for Graduate Studies, German Research Foundation (DFG) Dr. Stadler has secured significant research funding including a National Institute on Alcohol Abuse and Alcoholism grant (2017-2022) for 'Tailored Adaptive Mobile Messaging to Reduce Problem Drinking,' an NIHR Public Health Research Programme grant (2018-2020) for alcohol intervention in prison settings, and a Columbia University pilot grant (2014-2015) for medication adherence research in epilepsy patients. Her collaborative approach spans multiple institutions and disciplines, reflecting her commitment to translational research that bridges theory and practice. As Director of the Institute of Gender in Medicine at Charité, Dr. Stadler leads a research environment focused on understanding gender differences in health and disease. Her work with the Columbia Couples Lab established foundational methodologies for studying dyadic health processes, and she continues to advance these approaches through interdisciplinary collaborations across Europe and North America.

Gabriele GühringView profile

Professor

• Artificial Intelligence
• Machine Learning
• Anomaly Detection
• +3 more

Gabriele Gühring serves as Professor at Esslingen University of Applied Sciences with dual appointments in the Faculty of Basic Sciences (since 2008) and Faculty of Computer Science and Information Technology (since 2021). She currently holds the executive position of Vice President for Research and Transfer (since September 2022), concurrently directing the Department of Research and Transfer while serving on the Science Commission and Honours Committee. Her academic foundation includes: Mathematics and Physics studies at University of Tübingen (1991-1996) Doctoral research on nonautonomous differential equations (1997-1999) Part-time Master's in Mathematical Finance at University of Oxford (2002-2004) Prof. Gühring's research centers on practical AI applications , specializing in anomaly detection systems for industrial infrastructure and multimodal learning for technical documentation. Her work bridges theoretical mathematics with real-world implementations in renewable energy, urban mobility, and medical diagnostics, demonstrating consistent evolution from pure mathematics to cutting-edge machine learning. Analysis of her 14 publications (1999-2023) reveals a strategic pivot from theoretical differential equations to industrial AI solutions. Recent work (2020-2023) focuses on anomaly detection in energy systems (power plants, vehicle fleets), multimodal neural networks for product analysis, and mobility data anonymization , with methodologies spanning spiking neural networks, graph-based approaches, and Bayesian deep learning. While no scientific awards are documented, her leadership in the BMBF-funded Anomob project demonstrates active grant acquisition in data privacy. Administrative responsibilities likely encompass significant mentorship, though no formal advisees are listed in the provided materials. Her research operates through Esslingen's Department of Research and Transfer, fostering cross-disciplinary collaborations between computer science, engineering faculties, and industrial partners in energy, transportation, and healthcare sectors.

Stephan DoerfelView profile

Professor

• Data Science
• Machine Learning
• Deep Learning
• +7 more

Professor Stephan Doerfel holds a professorship for Data Science at Kiel University of Applied Sciences since 2021, where he is assigned to the Department of Media and serves as head of the Institute for Data Science (IfDS). He teaches Mathematics and Multivariate Statistics, Machine and Deep Learning modules in the Master's Program Data Science (MADS). His primary research interests span Data Science, Machine Learning, and Deep Learning, with significant contributions to recommender systems, social bookmarking systems (particularly BibSonomy), formal concept analysis, and publication analysis. His recent work shows a shift toward applied industrial problems, especially in injection molding quality prediction and agricultural technology. Analysis of his publication trends reveals an evolution from foundational work in formal concept analysis and social tagging systems (2010-2016) to more applied machine learning research in manufacturing and agriculture (2020-2024). His work consistently bridges theoretical computer science with practical applications across diverse domains. Professor Doerfel has been actively involved in numerous academic service roles including peer reviewing for major journals and serving on program committees for prestigious conferences including ECML/PKDD, WebSci, and ICFCA. His extensive conference participation spans over a decade with consistent contributions to the machine learning and data science community. He has supervised various research projects including AVAPS (focusing on injection molding data), PUMA (Academic Publication Management), and Info 2.0 (Informational self-determination in Web 2.0). As a core contributor to the BibSonomy open-source project, he has helped create a scholarly social bookmarking system that serves as a testbed for recommendation algorithms and user behavior studies.

• Quantum Information
• Quantum Computing
• Many-body Physics
• +5 more

Dr. Rahul Trivedi is a tenured Research Group Leader in the Theory Division at the Max Planck Institute of Quantum Optics in Garching, Germany. His research focuses on theoretical quantum information and quantum science, particularly addressing challenges in noisy quantum systems and simulators. Dr. Trivedi received his undergraduate degree in Electrical Engineering from the Indian Institute of Technology Delhi, followed by MS and PhD in Electrical Engineering from Stanford University (2021). After a postdoctoral fellowship at the Max Planck Harvard Research Center for Quantum Optics, he served as an Assistant Professor of Electrical and Computer Engineering at the University of Washington before returning to MPQ as a tenured researcher in 2024. His research program spans multiple areas at the intersection of quantum information theory, many-body physics, and quantum device engineering. Key research directions include: Theory of open quantum systems and non-Markovian dynamics Quantum simulation with noisy intermediate-scale quantum (NISQ) devices Quantum error correction and fault tolerance Quantum optics theory with applications to quantum simulation and metrology Dr. Trivedi has secured significant research funding including an ERC Starting Grant for his ToNQS project (Theory of Noisy Quantum Simulation of Many-body Physics), as well as previous awards from the National Science Foundation and Department of Energy in the United States. His scientific awards and recognitions include: ERC Starting Grant: ToNQS - Theory of Noisy Quantum Simulation of Many-body Physics National Science Foundation (NSF) research funding Department of Energy (DOE) research funding Dr. Trivedi currently leads a research group consisting of three PhD students, one Master's student, and several co-advised students. His group maintains extensive collaborations with partners both within Europe and the US. With the ERC grant, additional positions for PhD students and postdoctoral researchers are becoming available. The Theory of Open Systems research group is housed in the Theory Division at the Max Planck Institute of Quantum Optics. The group actively collaborates with experimental teams to bridge theoretical frameworks with practical quantum device implementations, particularly focusing on how noise affects quantum simulation capabilities.

• Genetics
• Animal Science
• Livestock Biodiversity
• +5 more

Licia Colli is an Associate Professor at the Faculty of Agriculture, Food and Environmental Sciences at the Catholic University of the Sacred Heart in Piacenza, Italy, where she works in the Department of Animal Science, Food and Nutrition. She specializes in general livestock husbandry and genetic improvement (AGRI-09/A classification). Her educational background includes a cum laude degree in Biological Sciences from the University of Parma (2000) and a PhD in Animal Biology from the University of Bologna (2004). She teaches multiple courses including Animal Science, Applied Statistics and Physics, Aquaculture and Minor Farms, Biodiversity and Traceability of Agricultural Products, and Raw Materials across various degree programs. Dr. Colli's research focuses on studying the biodiversity of livestock species with emphasis on protecting genetic resources, traceability of animal products for food safety, and reconstructing domestication processes. Her work provides insights into human population history from the Neolithic onward. She also researches animal biodiversity conservation using traditional taxonomic methods and modern molecular biology techniques including complete mitochondrial genome sequencing, barcoding approaches, and ancient DNA analysis combined with high-throughput next-generation sequencing. She serves as Head of the Ancient DNA Laboratory and is a member of the Steering Committee at the Research Center on Biodiversity and Ancient DNA. Dr. Colli has participated in numerous national and international research projects on molecular genetic techniques and serves as an ad hoc referee for 15 international journals while also sitting on the Editorial Board for The Scientific World Journal (Zoology) and ISRN Evolutionary Biology.