جست‌وجوی استاد و پژوهشگر

• Control Theory
• Nonlinear Systems
• Complex Networks
• +۷ مورد دیگر

Jinsheng Sun is a prolific researcher with active contributions to Control Theory , Complex Networks , and Image Processing , often collaborating with scholars from institutions like the University of Melbourne and Harbin Institute of Technology . His work spans theoretical advancements and applied methodologies. Key Affiliations : Co-authored papers with researchers from diverse domains, indicating interdisciplinary collaborations. Research Themes : Focus on control systems for nonlinear dynamics, synchronization in complex networks, and forensic analysis of digital media. Research Interests revolve around: Designing adaptive control mechanisms for nonlinear systems and vibration systems , as seen in his 2025 work on transient performance design. Advancing complex network analysis through novel algorithms for identifying vital spreaders and secure synchronization protocols. Developing digital forensics techniques for JPEG compression and watermarking, with applications in information security . Recent Article Trends highlight his focus on control theory (e.g., neural network-based tracking control, H∞ fault detection) and network science (e.g., pinning synchronization, spreader identification). His 2024 work also includes robotics (object-driven navigation) and point cloud segmentation via interactive frameworks. Advising and Grants are not explicitly mentioned, but his extensive co-authorship network suggests mentorship roles. Funding details remain absent in the provided data. Labs and Teams : Collaborated with teams working on TCP/AQM systems , image encryption , and metabolic network reconstruction (e.g., 2018 work on Eriocheir sinensis).

• Signal Processing
• Medical Imaging
• Computer Vision
• +۴ مورد دیگر

Benoît Macq is a distinguished professor at the ICTEAM Institute , Université catholique de Louvain, Belgium. With over 350 publications spanning 1990–2025, his work bridges signal processing , medical imaging , machine learning , and data security . Key collaborators: Christophe De Vleeschouwer Simon K. Warfield Jean-François Delaigle Mathieu De Craene Research interests include: Adaptive algorithms for real-time model deployment and domain adaptation 3D reconstruction and medical image segmentation for radiation therapy Security in blockchain-based distributed learning systems Transformers for EEG classification and proton radiography Recent publications focus on foundation models in cytology and remote sensing, holonic multi-agent systems for VR, and secure codestreams for UAV object detection. His work emphasizes scalable architectures and privacy-preserving techniques in dynamic environments. Advising: Dani Manjah Antoine Aspeel Maxime Zanella

Daniel Schlörمشاهده پروفایل

پژوهشگر

• Machine Learning
• Anomaly Detection
• Natural Language Processing
• +۵ مورد دیگر

Dr. Daniel Schlör is a researcher at the Chair of Data Science (Informatics X) at the University of Würzburg, with additional affiliations to the CLiGS (Computational Literary Genre Stylistics) research group in Digital Humanities. His work focuses on machine learning for cybersecurity, fraud detection, and explainable AI, with recent projects exploring synthetic data generation, knowledge graph integration, and deep learning for imbalanced datasets. Research interests include Explainable AI (XAI) for anomaly detection Deep learning architectures for domain-specific relationships Multi-agent simulations for fraud scenario modeling Computational stylistics in digital humanities Article trends show expertise in Developing novel neural units (e.g., ModeConv) for structural anomaly differentiation Advancing XAI methods with generative inpainting techniques Creating open ERP datasets for occupational fraud research Applying graph neural networks to water distribution leakage detection Labs & collaborations include the Data Science Chair’s AI Institute at Hubland Nord campus and CLiGS research group for computational literary analysis.

• Cell Biology
• Molecular Biophysics
• Membrane Dynamics
• +۷ مورد دیگر

Helge Ewers is a Full Professor at Freie Universität Berlin, where he conducts cutting-edge research in cell and molecular biophysics. Previously, he served as a Senior Lecturer at King's College London, a Group Leader at ETH Zürich, and a Postdoctoral Fellow at CNRS Bordeaux, establishing a robust international academic profile. His research focuses on the molecular and cellular mechanisms underlying membrane organization, cytoskeletal dynamics, and unconventional protein secretion. Key areas include septin biology, super-resolution microscopy, expansion microscopy, and nanoscale imaging of cellular structures. He employs advanced techniques such as DNA-PAINT, interferometric scattering microscopy, and deep learning-based image analysis to study compartmentalization and dynamics at the plasma membrane and organelles. The recent publications highlight a strong trend in developing and applying innovative imaging technologies to address fundamental questions in cell biology. His work spans from method development (e.g., open-source microscopes, expansion microscopy variants) to mechanistic studies in membrane biophysics, cytokinesis, and neurobiology. Collaborative efforts with physicists, chemists, and computational scientists underscore an interdisciplinary approach. Scientific Awards and Recognition: Editorial contributions to special issues on septin biology in Cytoskeleton Peer reviewer for high-impact journals including Angewandte Chemie and Nature Photonics Advising and Collaborative Research: Dr. Ewers mentors and collaborates with a dynamic group of early-career scientists, including Jakob Rentsch, Amin Zehtabian, and Nadja Hümpfer. His lab fosters interdisciplinary research, combining biology with physics, chemistry, and computational modeling. While specific grant details are not listed, his sustained publication output in top-tier journals suggests active funding and research support. Laboratories and Research Teams: He leads a research group at Freie Universität Berlin focused on quantitative cell biology and advanced microscopy. His team develops and applies novel imaging tools to study membrane and cytoskeletal dynamics, contributing to both technological innovation and biological discovery.

Inga Oelrichsمشاهده پروفایل

پژوهشگر

• Sports Communication
• Digital Journalism
• Social Media in Sports
• +۷ مورد دیگر

Inga Oelrichs is a researcher at the Institute for Communication and Media Research at the German Sport University Cologne (DSHS). She completed her doctoral studies at the same institute and continues her academic work focusing on digital sports journalism, social media practices, and audience engagement. Her research spans innovative media use, scandalization in sports media, and second screening behaviors. Her research interests lie at the intersection of sports, media, and digital communication. She investigates how journalists use social media as sources, how audiences interact with sports content across platforms, and how sports organizations manage their owned media. Her work combines qualitative and quantitative methods to explore evolving media practices in sports contexts. The 15 most recent articles reflect a strong focus on digital transformation in sports journalism, with recurring themes including social media integration, source credibility, audience expectations, and innovation adoption. Her publications appear in leading journals such as the International Journal of Sport Communication and Communication & Sport , demonstrating sustained scholarly output and international relevance. Scientific Activities and Projects: Innovationen im Sportjournalismus (Ongoing, self-funded) Nutzungsmotive und Qualitätserwartungen an Instagram-Angebote (2022–2024, self-funded) Digitales Lehr- und Lernmaterial 'So funktioniert Sportjournalismus' (2022–2023, third-party funded) Owned Media Content im Sportjournalismus (2018–2023, self-funded) Skandalfaktoren (2013–2016, self-funded) She has presented at major international conferences including ICA, IACS, and ECREA. Her collaborative work with scholars like Mark Ludwig, Christoph Bertling, and Natascha Wehlisch highlights her integration into the global sports communication research community. Though no formal PhD students are listed, she contributes to research training through project involvement and educational material development. Labs and Research Environment: Inga Oelrichs operates within the Institute for Communication and Media Research at DSHS, a leading center for sports communication studies in Europe. The institute supports interdisciplinary research on media, sports, and society, providing a collaborative environment for empirical and theoretical inquiry.

Jan-Frederik Pietschmannمشاهده پروفایل

استاد

• Nonlinear Partial Differential Equations
• Gradient Flows
• Parameter Identification in PDEs
• +۳ مورد دیگر

Jan-Frederik Pietschmann is a Professor for Inverse Problems at the University of Augsburg's Faculty of Mathematics, Natural Sciences and Technology. He previously held the same position at TU Chemnitz (2018–2023) and served as a Research Associate at institutions including the University of Münster and TU Darmstadt. University of Cambridge (PhD, Mathematics, 2008–2011) University of Münster (Diploma, Mathematics and Physics, 2008) Habilitation in Mathematics, University of Münster, 2018 His research focuses on the analysis of nonlinear PDEs , gradient flows , and parameter identification in PDEs . Recent work explores applications to cell invasion , pedestrian dynamics , neurite growth , and organic semiconductors . Publications highlight his expertise in optimal transport , cross-diffusion systems , and uncertainty quantification . Notable trends in his 15 most recent articles include Nonlinear PDEs for biological and physical systems Optimal transport on networks and metric graphs Computational methods for inverse problems His current team includes Gianna Götzmann, Carmen Tretmans, and Team Assistant Juliane Krautz. Contact details: jan-f.pietschmann@uni-a.de , +49 821 598-3926.

Ferdinand Haiderمشاهده پروفایل

استاد

• Materials Science
• Metallurgy
• Phase Transformations
• +۷ مورد دیگر

Professor Ferdinand Haider is a faculty member at the University of Augsburg, serving in the Institute of Physics within the Faculty of Mathematics, Natural Sciences and Technology. He leads the Chair of Experimental Physics I, focusing on advanced materials research with particular expertise in metallurgy and materials characterization. His research interests span metastable metallic alloys, phase transformations under nonequilibrium conditions, mechanical amorphization, deformation of intermetallic phases, and extreme deformation processes. He has extensive expertise in friction stir welding, magnetic pulse welding, and high-resolution electron microscopy techniques including STEM, TEM, and SEM for analyzing metallic structures at the finest scales. Professor Haider's publication record shows consistent research activity through 2023, with recent work focusing on aluminum-copper systems, Guinier-Preston zones, and friction stir welding technologies. His research demonstrates a strong connection between computational modeling and experimental validation, particularly in precipitation phenomena and phase transformations in metallic systems. He has led or participated in several research projects including IP PERFECT, FAME, Erasmus Mundus, and a Volkswagen Foundation partnership program with the Indian Institute of Science in Bangalore focused on diffuse interface models of phase transformations. Professor Haider maintains active laboratory facilities for materials research at the University of Augsburg, with particular emphasis on advanced characterization techniques for metallic materials and welding processes.

• Theoretical Physics
• Active Matter
• Soft Matter
• +۳ مورد دیگر

Professor Abhinav Sharma is affiliated with the University of Augsburg in the Faculty of Mathematics, Natural Sciences, and Technology , specifically the Institute of Physics under the Theoretische Physik II group. His academic journey includes a PhD thesis from Technische Universiteit Eindhoven in 2011. University : University of Augsburg School : Faculty of Mathematics, Natural Sciences, and Technology Department : Institute of Physics Academic Rank : Professor Abhinav Sharma's research focuses on theoretical physics , particularly in active matter , non-equilibrium systems , and soft matter . His work explores the dynamics of active Brownian particles , polymer transport in active baths , and nonlinear mechanics of fibrous networks . His recent publications (2023-2025) highlight advancements in odd-diffusive systems , chiral particles , and activity-gradient driven transport . These studies span disciplines like physics , chemical engineering , and biophysics , with a strong emphasis on statistical mechanics and nonlinear dynamics . As an advisor, he mentors PhD students including Bhavesh Valecha , Pietro Luigi Muzzeddu , and Iman Abdoli . He collaborates extensively with researchers like Joseph Brader , Fred MacKintosh , and Ralf Metzler . Sharma is part of the Theoretische Physik II lab, contributing to understanding active transport , polymer mechanics , and criticality in complex systems .

Ulli Vilsmaierمشاهده پروفایل

پژوهشگر

• Sustainability Science
• Transdisciplinary studies
• Regional planning
• +۴ مورد دیگر

Dr. Ulli Vilsmaier is a researcher at Leuphana University Lüneburg specializing in Sustainability Science and Transdisciplinary studies. With 68 publications spanning over two decades, his work focuses on understanding and facilitating sustainability transformations through innovative transdisciplinary approaches that bridge academic research and practical sustainability challenges. Dr. Vilsmaier's research interests center on transdisciplinary methodologies, sustainability transformations, regional planning, and energy transitions. His work emphasizes the integration of diverse knowledge systems through frameworks like collaborative design prototyping and mutual learning sessions. His approach combines theoretical insights with practical applications, addressing complex sustainability challenges through culturally sensitive and context-specific solutions. Analysis of his publication record reveals a clear evolution from foundational work in regional planning to increasingly sophisticated transdisciplinary frameworks. His recent work shows particular emphasis on transformation processes and responsive research methodologies, with growing attention to pandemic response and community engagement. His research spans multiple geographical contexts including European, Mexican, and Romanian case studies, demonstrating a global perspective on sustainability challenges. Leuphana Fundraiser-Preis (Research) Zukunftsstadt Lüneburg 2030+ (Transfer) Dr. Vilsmaier is actively involved in multiple research projects including 'Processes of Sustainability Transformation' and 'Zukunftsstadt Lüneburg 2030+.' His work consistently demonstrates a commitment to transdisciplinary approaches that integrate diverse knowledge systems and perspectives, making significant contributions to both academic understanding and real-world sustainability transformations.

• Neuropathology
• Neuro-oncology
• Brain Tumor Classification
• +۴ مورد دیگر

Snuderl M. is a prominent researcher at the German Cancer Research Center (DKFZ) in Heidelberg, Germany, specializing in neuropathology and neuro-oncology. As a key contributor to the cIMPACT-NOW consortium, they have co-authored multiple influential updates (9, 10, and 11) that shape the World Health Organization's classification of central nervous system tumors. Their research primarily focuses on molecular diagnostics, DNA methylation profiling, and the genomic characterization of brain tumors including meningiomas, astrocytomas, and medulloblastomas. Snuderl M.'s work bridges laboratory research with clinical applications, developing diagnostic tools that improve tumor classification and patient outcomes. They have made significant contributions to understanding TERT promoter mutations in meningioma prognosis, BAP1-altered meningioma biology, and the molecular signatures of rare CNS tumors like pleomorphic xanthoastrocytoma and intraparenchymal schwannomas. Their research has been published in leading neuro-oncology journals including Neuro-Oncology, Acta Neuropathologica, and The Lancet Oncology. Their publication record demonstrates expertise in translating complex molecular data into clinically actionable diagnostic criteria. Recent work has focused on refining classification systems for IDH-mutant astrocytomas, H3 G34-mutant diffuse hemispheric gliomas, and NTRK fusion-driven CNS tumors. The research shows consistent emphasis on identifying molecular biomarkers that predict clinical behavior and therapeutic response. cIMPACT-NOW Consortium Member (key contributor to WHO CNS tumor classification updates) Developer of molecular diagnostic approaches for CNS tumors Expert in DNA methylation profiling applications for neuro-oncology Snuderl M. collaborates extensively with international neuro-oncology centers, participating in multi-institutional cohort studies that analyze hundreds of tumor samples. Their work supports the integration of molecular diagnostics into routine neuropathology practice, improving precision in tumor classification and patient management. Current research directions include refining risk stratification systems for pediatric CNS tumors and developing proteomic approaches to identify therapy-resistant tumor subgroups.

Daniel Schneiderمشاهده پروفایل

پژوهشگر

• Materials Science
• Computational Mechanics
• Phase-field Modeling
• +۳ مورد دیگر

Dr. Daniel Schneider is a Scientist at the Karlsruhe Institute of Technology (KIT) within the Institute of Nanotechnology, specifically working in the Microstructure Simulations research unit. His office is located in Building 30.48, Room 110.1 at KIT's Eggenstein-Leopoldshafen campus. He is actively engaged in the Multiphysics Materials Modeling: Microstructure Mechanics research group, focusing on computational approaches to materials science problems. Dr. Schneider's research centers on the interactions between microstructural and mechanical influencing factors at the mesoscopic length scale of materials. His work investigates how grain and domain evolution, along with resulting heterogeneous microstructures, affect material properties. He primarily employs the phase field method coupled with numerical algorithms to study these phenomena. This computational approach allows for optimization of process parameters, reduction of production costs, and development of new materials with tailored properties. His current research portfolio spans several key areas including recrystallization processes, solid-solid phase transformations, electrochemical processes, and crack propagation. The materials systems he investigates are diverse, ranging from metals and fiber composites to lithium-ion batteries and piezo crystals. His extensive publication record demonstrates particular expertise in modeling phase transformations with mechanical driving forces, crack propagation in various materials, and the influence of microstructure on mechanical properties. The integration of chemical, thermal, and electromagnetic driving forces in his models represents a sophisticated multiphysics approach to materials simulation. Dr. Schneider's work has significant practical applications in virtual material design, where computational models can predict material behavior before physical production. His research contributes to optimizing manufacturing processes and developing advanced materials with specific performance characteristics. The breadth of his publications across journals in materials science, computational mechanics, geoscience, and electrochemistry highlights the interdisciplinary nature of his work and its relevance across multiple scientific domains.

Karin Hoislمشاهده پروفایل

استاد

• Knowledge Management
• Organizational Innovation
• Strategic Management
• +۵ مورد دیگر

Prof. Dr. Karin Hoisl holds the Chair of Organization and Innovation at the University of Mannheim while also serving as a Part-Time Professor at Copenhagen Business School's Department of Innovation and Organizational Economics. Her research bridges knowledge management, organizational innovation, and intellectual property strategy. University of Mannheim, School of Business (2015–present) Copenhagen Business School, Denmark (Part-Time Professor since 2014) Her research interests focus on: Knowledge management and recombination Gender disparities in inventorship Strategic IP management Inventor mobility and productivity Open innovation in science Scientific contributions include studies on collaborator loss in R&D teams (2025), gender gaps in inventor income (2017), and social network impacts on patent validation (2011). She has received multiple awards including the Academy of Management TIM Best Paper Award (2016) and Jürgen-Hauschildt-Award (2012). Academic service includes editorial roles at Strategic Management Journal and Industrial and Corporate Change , with refereeing activities for journals like Management Science and Research Policy . She advises PhD students like Nicola Schmitt, who studies digital transformation, while leading the Organization and Innovation research group.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Jiawei Zhang is an active researcher with primary affiliations at institutions like the University of California, Davis and other universities in China and the USA. His work spans Computer Science , Artificial Intelligence , and Biomedical Engineering , focusing on applications in image processing , autonomous vehicles , and remote sensing . Research interests include deep learning , graph neural networks , 3D reconstruction , and medical image analysis . Recent publications emphasize transformer models , lightweight AI frameworks , and multimodal data fusion . His work has been published in prestigious venues such as IEEE Transactions on Biomedical Engineering , CVPR , and IEEE Internet of Things Journal . Collaborations include researchers from institutions in China, the US, and Europe. Key trends in his 2024-2025 articles involve industrial anomaly detection , liver tumor segmentation , autonomous vehicle control , and AI-driven sensor networks . Methodologies often integrate attention mechanisms , generative models , and real-time optimization .

Jongse Parkمشاهده پروفایل

دانشیار

• AI Serving Systems
• On-Device AI
• Processing-in-Memory (PIM)
• +۴ مورد دیگر

Jongse Park is currently an Associate Professor at the School of Computing (SoC), KAIST , and a core member of the Computer Architecture and Systems Laboratory (CASYS) . He holds co-affiliations with the School of Electrical Engineering , Graduate School of AI Semiconductor , Graduate School of System Architect , and Department of Semiconductor System Engineering at KAIST. Since 2025, he has been serving as a Visiting Associate Professor at Stanford University's Pervasive Parallelism Lab within the EECS department. PhD in Computer Science, Georgia Institute of Technology (2018), advised by Prof. Hadi Esmaeilzadeh MS in Computer Science, KAIST (2012), advised by Prof. Seungryoul Maeng BS in Computer Science and Engineering, Sogang University (2010) His research focuses on accelerating AI serving systems , enabling on-device AI , processing-in-memory (PIM) architectures , and flexible AI compiler frameworks . Recent work explores transformer optimization, heterogeneous AI semiconductors, and efficient video-language processing. Recent publications include MICRO 2025 work on PIM for LLMs, VLDB 2025 research on video-language engines, and ISCA 2025 contributions to LLM quantization. His team's projects have received funding from the K-Cloud Project , NRF Young Researcher Program , and IITP Core Technology Development grants . Teaching Innovation Award Excellence Prize, KAIST (2025) Samsung Humantech Paper Award Gold Prize (2025) IEEE Senior Member (2024) Best Paper & Distinguished Artifact Awards at IISWC (2024) and ISCA (2024) He actively supervises PhD and MS students in AI systems research and serves on program committees for top conferences like ASPLOS , ISCA , and MICRO , including organizing roles as Sponsorship Chair for MICRO 2025.

Brooke Foucault Wellesمشاهده پروفایل

استاد

• Social Network Analysis
• Computational Social Science
• Digital Activism
• +۷ مورد دیگر

Brooke Foucault Welles is a Professor of Communication Studies and the Senior Associate Dean for Research and Partnerships at Northeastern University's College of Arts, Media and Design. She founded the Communication, Media, and Marginalization (CoMMLab) and co-authored the award-winning book #HashtagActivism: Networks of Race and Gender Justice (MIT Press, 2020). Her research focuses on computational social science, digital activism, and communication power dynamics. PhD in Media, Technology and Society from Northwestern University MS and BS in Communication from Cornell University Her work examines: Network structures in social movements like #MeToo and #Ferguson Racial and gender justice in digital spaces Open source community leadership Health information diffusion Civic engagement in youth digital activism Recent publications address: Computational methods for analyzing social dynamics Political polarization in health discourse Harmful content detection models Information loss in communication networks Scientific recognition includes: Excellence in Teaching Award (2017) Best Paper Honorable Mention (CSCW 2019) Best Reviewer Award (ASIS&T 2023) Finalist, 2021 Research Prize in Public Interest Communications She mentors a diverse lab team and collaborates across disciplines to address: Structural inequities in digital platforms Community resilience through network analysis Open source software governance