جست‌وجوی استاد و پژوهشگر

Oldrich Rakovecمشاهده پروفایل

پژوهشگر

• Hydrology
• Climate Change
• Drought Analysis
• +۳ مورد دیگر

Oldrich Rakovec is a Researcher at the Department of Computational Hydrosystems (Helmholtz Centre for Environmental Research - UFZ, Germany). His work focuses on hydrological modeling , climate change impacts , drought analysis , and flood forecasting using the Mesoscale Hydrologic Model (mHM) . Key collaborations: NCAR (USA), Czech University of Life Sciences Prague, Kansas University, Bocconi University Research Interests : Parameter regionalization in large basins Paleo-hydrology and continental water cycles Model sensitivity analysis and uncertainty quantification Flood impact assessments Climate change effects on water resources Article Trends : His recent publications (2021-2025) emphasize climate change impacts on droughts/floods, global hydrological modeling , data assimilation , and multi-model intercomparison . Notable work includes drought monitoring tools for South Asia, flood counterfactuals for disaster preparedness, and high-resolution soil moisture datasets . Scientific Awards : ASCE-EWRI 2023 Best Case Study Award Education : PhD in Hydrology (Wageningen University, 2014), MSc in Hydrology and Water Quality (Wageningen), MSc in Environmental Modeling (Czech University of Life Sciences Prague).

• Adult Cognition and Learning
• Teacher Professionalization
• Digital Learning Media
• +۳ مورد دیگر

Hannes Schröter is a University Professor (W3) for Adult Cognition and Learning at FernUniversität in Hagen and Head of the Department "Teaching, Learning, Consulting" at the Deutsches Institut für Erwachsenenbildung (DIE). His expertise bridges adult education research with cognitive psychology. 2021–Present: Department Head at DIE 2021–Present: W3 Professor at FernUniversität in Hagen 2019–2021: Deputy Department Head at DIE His research focuses on teaching/learning processes , professionalization of educators , cognitive development in adults , and digital learning tools . Recent publications examine literacy disparities, multiliteracy, and e-assessment fairness. He contributes to scientific advisory boards for projects like MOVE (Stiftung Lesen) and #ABCforJobs (GFFB Frankfurt), and leads networks on teacher professionalization. Key collaborations include the meta-project Language education in an immigration society and AI2TEACH, emphasizing his commitment to educational innovation in diverse contexts.

Julia Kiesowمشاهده پروفایل

مدرس

• Gender and Far Right Studies
• Antifeminism
• Authoritarianism and Gender
• +۷ مورد دیگر

Dr. Julia Kiesow is a Lecturer and Research Associate in the Department of Political Science at Justus Liebig University Giessen, where she contributes to both teaching and research. She earned her PhD in 2024 from the University of Cologne with a thesis on far-right movements and gender transitions. She is currently part of the research network GERDEA, which explores the dynamics between gender relations and the contemporary far right. Research Interests: Her work focuses on the intersections of gender, authoritarianism, and far-right ideologies. She investigates anti-feminist mobilizations, constructions of femininity and motherhood in right-wing movements, and strategies for gender-sensitive political education. Her research has been supported through multiple research assistantships at Giessen and Marburg universities. Dr. Kiesow has also worked as a freelance researcher, trainer, and consultant in political education, specializing in countering right-wing extremism and anti-feminist narratives. She completed her Master's degree in Gender Studies and Science of Education in 2012, with a thesis on far-right discourses around gender. Research Network Involvement: GERDEA: Interactions between Social Gender Relations and the Contemporary Far Right (since 2023) REVERSE: Anti-feminism as a crisis phenomenon (2017–2019) Chair of Social Science Education, University of Giessen (2020–2022) Though her publications and talks are forthcoming in the public profile, her scholarly contributions center on critical analyses of far-right gender politics and educational interventions. She has no listed scientific awards or advisees at this time.

Alexander Verlمشاهده پروفایل

استاد

• Industrial Robotics
• Control Engineering
• Mechatronics
• +۵ مورد دیگر

Prof. Dr.-Ing. Alexander Verl is a leading academic at the University of Stuttgart , serving as Principal Investigator at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) . His work bridges control engineering , industrial robotics , and digital twin technologies to enhance precision in manufacturing systems. Research Interests : Improving positioning accuracy of industrial robots through transmission error modeling and compliance compensation. Developing adaptive preload control mechanisms for cable-driven parallel robots and rack-and-pinion systems. Advancing IT/OT convergence via Time-Sensitive Networking (TSN) and cloud-edge integration. Creating digital twin platforms for real-time simulation and quality monitoring in CNC machining. Exploring deep learning applications for perception of deformable linear objects in automation. Recent Work Trends show expertise in: smart manufacturing , Industry 4.0 , and data-driven control systems . Publications emphasize practical validation through industrial testbeds (e.g., KUKA KR210–2 robotics, CNC machine simulations) and theoretical contributions to elastokinematic models and nonlinear dynamics . Advising & Grants : Collaborates extensively with researchers like Armin Lechler and Michael Neubauer. Projects funded through academic-industry partnerships in automotive production, precision engineering, and Gaia-X-based data ecosystems.

• Membrane Proteins
• Apoptosis
• Mitochondrial Biology
• +۴ مورد دیگر

Gorka Basañez is a CSIC Staff Scientist at the Biofisika Institute, a joint research center of the Spanish National Research Council (CSIC) and the University of the Basque Country (UPV/EHU). He leads research in the Lipid-Protein Interactions in Cellular Processes Laboratory, focusing on the molecular mechanisms of apoptosis, particularly involving mitochondrial membrane proteins and the BCL2 family. PhD: University of the Basque Country (UPV/EHU) Postdoctoral Training: National Institutes of Health (NIH), USA Dr. Basañez specializes in biophysical approaches to study membrane protein dynamics, using in vitro reconstituted systems to dissect apoptotic pathways. His research integrates biochemistry, biophysics, and cell biology to understand how BCL2 family proteins regulate cell death. He applies quantitative techniques to analyze protein-lipid interactions and mitochondrial membrane permeabilization, contributing to fundamental knowledge with implications for cancer and neurodegenerative diseases. His recent publications span top journals like Cell , PNAS , and PLoS Biology , with a consistent focus on apoptosis mechanisms, BCL2 protein interactions, and membrane dynamics. The work demonstrates a strong trend toward quantitative, reductionist models of cell death, often employing synthetic liposomes and purified proteins to reconstruct key steps of the apoptotic cascade. Dr. Basañez's research is supported by competitive funding from the Ministry of Science, Innovation and Universities and the Basque Government, reflecting the national and regional recognition of his scientific contributions. Supervised 6 PhD theses Regular evaluator for leading scientific journals His research line is integrated within the broader group led by Dr. Alicia Alonso at the Biofisika Institute, fostering collaborative and interdisciplinary science in membrane biology.

Anna Krauseمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Time Series Analysis
• +۷ مورد دیگر

Dr.-Ing. Anna Krause is a researcher at the Chair of Data Science (Informatik X) within the Faculty of Mathematics and Computer Science at the University of Würzburg. She leads the Deep Learning for Dynamical Systems Group and has been actively involved in teaching at the university since 2019, including courses on Machine Learning for Time Series Analysis and Data Mining. Doctoral degree in Electrical Engineering (2019), University of Hannover Diploma in Electrical Engineering (2009), Technical University Dresden Her research focuses on Environmental Sensing and Time Series Analysis , particularly on enhancing physics-based models using machine learning techniques for meteorological applications and sparse sensor networks. She has made significant contributions to explainable AI, climate modeling, and fraud detection systems. Anna's recent publications demonstrate expertise in climate modeling (ConvMOS, ICLR 2024-2025), physics-informed neural networks (TaylorPDENet, ECMLPKDD 2023), and fraud detection (MIDAS workshops, ECMLPKDD 2020-2023). She actively contributes to conferences as organizer and PC member, including ECMLPKDD and ICLR workshops. Scientific Awards Best ML Innovation Award (2020) for Deep Learning in Climate Modeling Best Student Paper Award (2020) for Multi-Task Land Use Regression Best Paper Award (2020) for Financial Fraud Detection with INALU The DynaBench dataset introduced in 2023 provides benchmark tools for learning dynamical systems from low-resolution data. Her work combines theoretical advancements with practical implementations, including edge computing applications for beekeeping monitoring systems.

• Network Security
• Cloud Computing
• Internet of Things
• +۳ مورد دیگر

Olivier Festor is a Researcher at INRIA (French National Institute for Research in Digital Science and Technology), specializing in network security, cloud computing, and IoT. His work focuses on developing scalable solutions for modern network challenges, including in-network computation, cloud service security, and anomaly detection. Research Interests: Dr. Festor investigates vulnerabilities in distributed systems, designs protocols for efficient data processing (e.g., stateful in-network computation), and pioneers frameworks for IoT threat emulation. His recent work emphasizes cloud gaming optimization, automated security for service migrations, and darknet-based threat intelligence. Publication Trends: Over 200 publications (1993–2024) reflect a shift toward cloud/IoT security and programmable networks. Recent articles prioritize machine learning for traffic classification, TOSCA-based cloud orchestration, and P4-enabled data planes, highlighting applied research with industry relevance.

Dirk Janckeمشاهده پروفایل

استاد

• Visual neuroscience
• Cortical dynamics and plasticity
• Optical imaging of neuronal populations
• +۳ مورد دیگر

Prof. Dr. Dirk Jancke is a full professor at Ruhr University Bochum , heading the Optical Imaging Lab within the Institute for Neural Computation (Institut für Neuroinformatik) and affiliated with the Faculty of Computer Science . He also serves as vice-speaker of the Collaborative Research Center 874 “Integration and Representation of Sensory Processes” and of the Research Department of Neuroscience (RDN). His research explores the computational principles underlying perception and behaviour by combining large-scale optical imaging, optogenetics, and theoretical modelling to study cortical dynamics, plastic reorganization, and neuromodulation across millions of neurons. Key research themes include: State-dependent sensory processing and gain control via neuromodulators (e.g., 5-HT2A receptors) Plastic remodeling of visual cortical maps induced by non-invasive brain stimulation (TMS) Encoding of temporal context and prediction error in early visual cortex Translational development of intracortical visual prostheses and novel diagnostic tools for mental disorders Recent publications (2024–1999) demonstrate a trajectory from single-cell receptor mechanisms to whole-brain network dynamics, with frequent use of in vivo voltage-sensitive dye imaging, optogenetic perturbations, and computational modelling in rodent visual cortex. While specific student names are not listed, Prof. Jancke is actively involved in graduate training through the International Graduate School of Neuroscience (IGSN) and the Institute of Neural Computation, where he sits on the PhD committee and study commission. Laboratory & Affiliations: Optical Imaging Lab , NB 2/27, Institut für Neuroinformatik, Ruhr University Bochum Vice Speaker, Collaborative Research Center 874 Vice Speaker, Research Department of Neuroscience Board member, International Graduate School of Neuroscience (IGSN) Directorate member, Institute of Neural Computation (INI)

• Land-atmosphere interactions
• Climate-carbon cycle system
• Machine learning in Earth system research
• +۵ مورد دیگر

Dr. Alexander Winkler serves as a Group Leader in the Department of Biogeochemical Integration at the Max Planck Institute for Biogeochemistry in Jena, Germany. His research focuses on the complex interactions between the atmosphere and biosphere, particularly examining energy, water, and carbon exchanges within the Earth system. He leads the research group on Atmosphere-Biosphere Coupling, Climate and Causality, and contributes significantly to the USMILE ERC Project that explores statistical and machine learning applications in Earth system research. Winkler's research interests span land-atmosphere interactions, climate-carbon cycle feedbacks, and the application of modern statistical and machine learning methods to Earth system science. His work particularly emphasizes hybrid modeling approaches that combine process-based and data-driven models to better understand land-atmosphere interactions. He investigates how rising atmospheric CO 2 concentrations affect Earth observations and model simulations through causal inference techniques, and examines constraints on key entities in the climate-biosphere continuum by linking multi-model ensemble simulations with observational data. His recent publications reveal a strong trend toward integrating machine learning with traditional Earth system modeling, with significant contributions in carbon cycle dynamics, climate-carbon feedbacks, and vegetation responses to climate change. His research demonstrates how hybrid modeling approaches can enhance our understanding of complex Earth system processes, particularly in disentangling the effects of rising CO 2 on land-atmosphere exchanges of carbon and water. Winkler actively contributes to academic education, teaching courses such as 'Klimatologie und Klimawandel' at Friedrich-Schiller-Universität Jena's Chemisch-Geowissenschaftliche Fakultät, and has previously taught 'Terrestrial Ecosystem Processes & Carbon Feedbacks within Earth System Models' at Universität Hamburg. His teaching reflects his research expertise, focusing on the intersection of climate science, carbon cycle dynamics, and advanced data analysis techniques.

Eric Hallمشاهده پروفایل

مدرس

• Uncertainty Quantification
• Stochastic Simulation
• Predictive Modelling
• +۵ مورد دیگر

Dr. Eric Hall is a Baxter Fellow and Lecturer in Applied Mathematics at the University of Dundee's School of Science and Engineering. He holds a PhD in Mathematics from the University of Edinburgh (2013) and a B.A. in Mathematics from the University of Pennsylvania. Prior to joining Dundee in 2020, he held postdoctoral positions at KTH Royal Institute of Technology, University of Massachusetts Amherst, and RWTH Aachen University. His research focuses on the mathematical foundations of data science, specializing in uncertainty quantification , stochastic simulation , and predictive modeling for complex systems. Current work develops domain-aware surrogate models and sensitivity analysis techniques for scientific machine learning, with applications spanning materials science, finance, geophysics, and solar physics. Publications demonstrate a strong focus on multi-scale systems and scientific machine learning , with recent work expanding into astrophysical applications. Research consistently integrates mathematical rigor with practical applications across physics and engineering domains. Awards and Honors Dundee Difference Awards 2025 - Innovation of the Year Fellow of the Institute of Mathematics and its Applications (2022) Science and Engineering Staff Awards - Innovation in Teaching (2022) Dr. Hall actively supervises PhD students in uncertainty quantification and scientific machine learning, and serves as second supervisor for doctoral projects on chaotic differential equations. He has secured research grants including STFC PhD funding for Solar Physics applications and Heilbronn Focused Research Group funding. He maintains memberships in the Edinburgh Mathematical Society (Trustee), Institute of Mathematics and its Applications, Society for Industrial and Applied Mathematics, and American Mathematical Society. Dr. Hall leads research in uncertainty quantification within the Mathematics division and collaborates internationally on multi-scale modeling projects.

Josef Griesbauerمشاهده پروفایل

استاد

• Automation Systems
• Measurement Technology
• Control Engineering
• +۳ مورد دیگر

Prof. Dr. Josef Griesbauer is a Professor of Automation and Measurement Technology at the Faculty of Electrical Engineering at Kempten University of Applied Sciences. He serves as Program Coordinator for the Mechatronics (Bachelor) program and heads the Measurement and Control Technology Laboratory. With extensive experience spanning both academia and industry, Prof. Griesbauer has established expertise in automation systems and measurement technology. His educational background includes a PhD in Physics from the University of Augsburg (2008-2011) with research conducted partly at Boston University. Prior to his professorship, he worked at 3S-Smart Software Solutions GmbH (CODESYS GmbH) on industrial development projects and held research positions at OSRAM and the University of Augsburg. Prof. Griesbauer's research interests focus on the intersection of traditional engineering principles with modern digital technologies. His work spans theoretical biophysics (particularly lipid monolayers and wave propagation) and practical industrial applications (TSN, OPC UA PubSub, digitalization in manufacturing). He has developed AI-assisted lectures and maintains extensive educational content on YouTube covering Measurement Technology, Automation Technology, and Machine Learning. His publication record shows a clear evolution from fundamental biophysics research to applied industrial automation. Early work focused on lipid monolayers and material science, while recent publications address practical implementation of Time-Sensitive Networking and digital integration in intralogistics systems. This transition reflects his unique ability to bridge theoretical physics with practical engineering solutions. Prof. Griesbauer co-founded the 'Allgäu 4 Production' platform and hosts 'The Griesbauer' podcast where he interviews experts on technology, science, automation, digitalization, AI, philosophy, and society. The podcast demonstrates his commitment to making complex technical topics accessible while exploring their societal implications. He maintains the Measurement and Control Technology Laboratory at Kempten University, which serves as a hub for practical education and applied research in automation technologies, supporting both student projects and industry collaborations.

Olga Levinaمشاهده پروفایل

استاد

• Ethical Issues of Digitalization
• Business Process Management
• Low-Code Development
• +۲ مورد دیگر

Prof. Dr. Olga Levina serves as Professor of Business Informatics at Brandenburg University of Technology (BTU), Department of Economics, where she bridges technical systems design with ethical governance in digital transformation. Her institutional leadership includes contributions to DIN working groups on Responsible AI and UNESCO's "Artificial Intelligence for more gender equality and against discrimination" guideline. Her educational background includes: Industrial Engineering with technical specialization in Information and Communication Systems (Technical University of Berlin and LUISS Rome) Doctorate in Network Analysis (TU Berlin) Levina's research critically examines ethical digitalization , business process management , and low-code development through participatory frameworks. She investigates how socially-aware information systems can mitigate digital inequality while advancing sustainability. Current projects analyze dark patterns in consent interfaces and AI's impact on journalistic values, emphasizing transparency and stakeholder inclusion as foundational principles. Her 15 most recent publications (2021-2025) reveal three dominant trajectories: (1) operationalizing ethics in software design through assessment tools and pipelines, (2) analyzing low-code platforms' organizational impact, and (3) exposing biases in algorithmic systems via empirical studies of dark patterns and recommender systems. This work consistently connects technical implementation with societal consequences. Levina actively supervises Master's theses through structured processes requiring English proficiency and research proposals. Her Ethical and Legal Aspects of Digitalization course generates publishable student research on topics like cookie consent dark patterns and AI sentiment analysis. She leads the InnoWest project on sustainable IT development while maintaining roles as journal/conference reviewer and DIN working group contributor. Her research group produces empirical studies through student projects examining digital ethics in real-world contexts, including cross-national analyses of cookie banners and values in messenger apps. Current work explores "naming as framing" in sustainability discourse and machine learning system auditing.

Jürgen Jasperneiteمشاهده پروفایل

استاد

• Industrial Communication Technology
• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• +۷ مورد دیگر

Prof. Jürgen Jasperneite is the director of Fraunhofer IOSB-INA in Lemgo and a board member of the Institute for Industrial Information Technology (inIT) at Ostwestfalen-Lippe University of Applied Sciences (TH OWL). He holds the Professorship for Computer Networks and focuses on industrial communication systems for cyber-physical systems and IoT. Current affiliations: Fraunhofer IOSB-INA (Director), inIT (Board Member), TH OWL (Professor) International collaborations: Guest Professor at Midsweden University (2021–present), Research Fellow at Stanford University (2017–present) Research Interests include: Distributed real-time communication and processing 5G/6G integration into industrial networks Time-Sensitive Networking (TSN) and Ethernet migration Semantic interoperability and IT security SmartFactoryOWL and Industry 4.0 testbeds Zero-touch management and network digital twins His work spans manufacturing, process automation, logistics, and urban mobility , with a focus on bridging information technology (IT) and operational technology (OT) through standards like OPC UA and PROFINET. Scientific Recognition : IEEE Senior Member (since 2006) Over 250 publications and conference leadership roles Best Paper Awards at IEEE ISPCS (2007), IEEE ETFA (2012), GI Echtzeit (2014) Founding director of Germany's first Fraunhofer application center for industrial automation Contact: computernetworks@init-owl.de

• Agricultural Meteorology
• Plant Physiology
• Climate Change Impact on Agriculture
• +۳ مورد دیگر

Frank-M. Chmielewski is an Associate Professor at the Albrecht Daniel Thaer Institute of Agricultural and Horticultural Sciences within Humboldt University's Faculty of Life Sciences. His research focuses on agricultural meteorology, plant physiology, and climate change impacts on crop production. Specializes in phenological modeling of fruit trees Investigates temperature responses in sweet cherry dormancy and blossom Contributed to international phenology networks like PEP725 Recent publications analyze climate variability effects on barley yield, dormancy regulation in cherry buds, and pollinator responses to urban microclimates. He has developed thermal time models for cherry transplantation and studied frost vulnerability in fruit crops. His work demonstrates consistent engagement with plant-environment interactions, particularly temperature dependencies in bud development and pollination ecology. The research spans from molecular metabolite analysis to pan-European phenological trends.

• Embedded Systems
• Automotive Network Anomaly Detection
• System-on-Chip (SoC) Design
• +۷ مورد دیگر

Zafer Attal, M.Sc., is a Research Associate and PhD student at the Chair of Integrated Systems, Technical University of Munich (TUM), within the TUM School of Computation, Information and Technology. His work focuses on automotive systems, anomaly detection via Ethernet, and hardware-software integration. Education: Master of Science in Communication Engineering, TUM (2019-2022) Bachelor of Science in Electrical and Electronics Engineering, Middle East Technical University, Turkey (2015-2019) Research Interests: Zafer's research spans automotive Ethernet anomaly detection, SoC architectures, FPGA integration, and time-sensitive networking (TSN). He investigates how processing unit deviations propagate through in-vehicle networks and develops diagnostic solutions for functional safety in automated driving systems. Supervision: He has supervised Master's and project theses on topics including automotive Ethernet mitigation strategies, software migration to ZCU102 boards, and functional chain implementations on Aurix boards. Contact: Email: zafer.attal@tum.de . Office: Room N2138, Building N1, TUM.