جست‌وجوی استاد و پژوهشگر

Christoph Fraenzمشاهده پروفایل

پژوهشگر

• Neuroimaging
• Cognitive Psychology
• Individual Differences
• +۴ مورد دیگر

Dr. Christoph Fraenz is a researcher at the Leibniz Research Centre for Working Environment and Human Factors (IFADO) in Dortmund, Germany, where he works within the Psychology and Neurosciences department in the Neuroimaging and interindividual differences research group under Prof. Dr. Michael Nitsche. His research focuses on the neural basis of interindividual differences in cognitive functions and personality, utilizing a multimodal approach combining psychometrics, fMRI, DTI and EEG methodologies. Dr. Fraenz's work primarily investigates how variations in brain structure and function relate to individual differences in intelligence, personality traits, and cognitive abilities across the human population. Dr. Fraenz completed his academic training with a Bachelor's degree in Psychology from Westfälische Wilhelms University of Münster (2009-2012), followed by a Master's degree in Psychology from Ruhr University Bochum (2012-2015). He earned his PhD from the Department of Biopsychology at Ruhr University Bochum (2015-2019) and subsequently worked as a Research Associate there (2019-2020) before joining IFADO. His publication record demonstrates a strong focus on understanding the relationship between brain structure/function and cognitive abilities, with recent work particularly examining white matter microstructure, neurite density imaging, functional connectivity patterns, and genetic correlates of brain organization. His research often employs polygenic scoring approaches to understand how genetic factors contribute to individual differences in cognition. Dr. Fraenz has published extensively in high-impact neuroscience journals including Cerebral Cortex, Nature Communications, NeuroImage, and Human Brain Mapping, with numerous collaborative publications featuring researchers like Erhan Genç, Caroline Schlüter, and Sebastian Ocklenburg.

• Cognitive Neuroscience
• Computational Neuroscience
• Clinical Neuroscience
• +۵ مورد دیگر

Dr. Anna Plachti is a Scientific Associate at the Leibniz Institute for Working Environment (IfADo) in the Department of Ergonomics, where she leads the Networking group focused on Aging and Information Processing. Her professional trajectory includes postdoctoral positions at Research Center Jülich's Institute of Neuroscience and the Danish Magnetic Resonance Research Centre. Her academic credentials include a Dr.rer.nat. in Psychology from Heinrich Heine University Düsseldorf (2020), Master's degrees in Clinical and Experimental Neuroscience (University of Cologne, 2016) and Cognitive Psychology and Cognitive Neuroscience (Friedrich Schiller University Jena, 2014), and a Bachelor of Science in Psychology (Otto-Friedrich University of Bamberg, 2011). Dr. Plachti's research spans computational, cognitive, and clinical neuroscience with emphasis on brain structure across the entire lifespan. She employs advanced neuroimaging techniques to investigate hippocampal organization, brain-behavior relationships during development, and neural mechanisms of cognitive processes. Her work in the Dortmund Vital Study examines structural brain changes throughout life, with special attention to aging processes and information processing capabilities. Analysis of her recent publications reveals a strong focus on hippocampal structure-function relationships across the lifespan, developmental neuroscience, and brain aging. Her research demonstrates increasing leadership in large-scale collaborative projects, including international efforts to generate simulated datasets for studying brain development. European Lifebrain consortium member studying brain structure changes across adulthood Contributor to major publications in Human Brain Mapping, NeuroImage, and Cerebral Cortex Active participant in the Dortmund Vital Study examining brain structure across lifespan Her research program bridges multiple disciplines including neuroscience, psychology, and computational modeling, reflecting the interdisciplinary nature of modern brain research. Dr. Plachti maintains active collaborations with international research teams investigating brain development, aging, and neurological disorders.

Erhan Gençمشاهده پروفایل

استاد

• Neuroscience
• Differential Psychology
• Cognitive Functions
• +۵ مورد دیگر

Prof. Dr. Erhan Genç serves as a University Professor (W2) for 'Neuroscientific Foundations of Differential Psychology' at TU Dortmund University since 2023, operating under the Jülich model for research activities at IfADo (Leibniz Research Centre for Working Environment and Human Factors). He leads the 'Neuroimaging and Interindividual Differences' research group at the Institute for Occupational Safety and Health of the German Social Accident Insurance in Dortmund, Germany. His primary research focuses on: Neural basis of interindividual differences in cognitive functions and personality Application of multimodal neuroimaging methods (7T, 3T EEG/fMRI, TMS/fMRI, DWI, neurogenetics) Genç's research program investigates how variations in brain structure and function correlate with differences in cognitive abilities and personality traits. His work employs advanced neuroimaging techniques to uncover neural mechanisms underlying human intelligence and cognitive control processes, with particular emphasis on structural and functional brain connectivity. His publication record demonstrates consistent contributions to understanding the relationship between brain microstructure (particularly white matter organization and neurite architecture), brain network properties, and cognitive abilities. His recent work has established important links between polygenic scores, brain network efficiency, and intelligence measures. Methodologically, his expertise spans diffusion MRI for assessing microstructural properties of brain tissue, functional MRI for investigating brain connectivity patterns, and multimodal integration of different neuroimaging techniques to provide comprehensive insights into brain-behavior relationships.

Huaming Chenمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Artificial Intelligence
• Software Security
• +۳ مورد دیگر

Dr. Huaming Chen is a Senior Lecturer in the School of Electrical and Computer Engineering at The University of Sydney, Australia. His work focuses on trustworthy machine learning systems, software engineering, and software security. With numerous publications in top-tier conferences and journals, Dr. Chen has established himself as a significant contributor to the fields of AI security and software engineering. Dr. Chen's primary research interests lie at the intersection of software engineering and artificial intelligence, with a strong emphasis on trustworthy AI systems. His work spans several key areas including: Software Security for AI-enabled systems Trustworthy and Responsible AI development Computational biology applications Industrial 4.0 implementations Federated learning and privacy-preserving techniques Large language model verification and uncertainty analysis His research addresses critical challenges in ensuring AI systems are secure, reliable, and ethically sound. Dr. Chen's recent publications demonstrate a strong trend toward addressing security and trustworthiness challenges in AI systems. His work spans multiple domains including software security (particularly for AI systems), trustworthy AI development, and applications in computational biology. A significant portion of his recent work focuses on large language models, examining their vulnerabilities, verification methods, and uncertainty analysis. He also maintains active research in federated learning, adversarial machine learning, and software security techniques. Dr. Chen has received several notable awards and recognitions: 2020 IEEE CIS Student Grant for IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2017 Student and Early Career Travel Fellowship for The 16th International Conference on Bioinformatics (InCoB 2017) 2017 Student Travel Award for 2017 IEEE World Congress on Services Dr. Chen actively supervises multiple research students working on cutting-edge projects related to trustworthy AI and software security. His current students are exploring topics ranging from blockchain-based governance frameworks to open-source AI security and digital twin platforms. He also serves in numerous committee roles at top conferences including area chair for ACM MM, and PC member for ACM CCS, IJCAI, KDD, and many others. His service as a Guest Editor for journals like Computers & Security and as a Grant Reviewer for UKRI demonstrates his standing in the research community. Dr. Chen organizes workshops focused on Trustworthy and Responsible AI, reflecting his commitment to advancing the field. His research group appears to focus on practical applications of AI security techniques, with projects spanning multiple domains including healthcare, finance, and industrial systems. He maintains active collaborations with researchers across multiple institutions, as evidenced by his co-authorship on diverse publications.

Bernd Weberمشاهده پروفایل

استاد

• Neuroeconomics
• Decision Making
• Consumer Protection
• +۳ مورد دیگر

Prof. Dr. Bernd Weber serves as Acting Director of the Center for Economics and Neuroscience and Dean of the Faculty of Medicine at the University of Bonn. He leads the Weber Group at the Institute of Experimental Epileptology and Cognition Research (IEECR) and holds Cluster membership since 2019 within the Transdisciplinary Research Area Life and Health. His academic background includes medical studies and a 2003 PhD from the University of Bonn's Institute of Pharmacology and Toxicology. As Co-Founder of the Center for Economics and Neuroscience, he previously served as Editor-in-Chief of the Journal for Neuroscience, Psychology and Economics , President of the Association of Neuropsychoeconomics, and board member of the Society for Neuroeconomics. Professor Weber's research centers on the biological basis of human value-based decision making , integrating neuroeconomics with clinical neuroscience. His work examines individual decision processes through advanced neuroimaging techniques including diffusion-weighted imaging and structural brain connectivity analysis, with applications in consumer protection frameworks and behavioral interventions . Current investigations explore neural mechanisms underlying economic choices and risk assessment in clinical populations. The Weber Group at IEECR maintains active collaborations across neurology, psychiatry, and economics departments, utilizing multimodal imaging approaches to map decision-making pathways. Ongoing projects investigate neural correlates of financial risk tolerance and develop neuroscientific models for consumer vulnerability assessment.

Gabriele Gühringمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Anomaly Detection
• +۳ مورد دیگر

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.