جست‌وجوی استاد و پژوهشگر

Titus von der Malsburgمشاهده پروفایل

استادیار

• Psycholinguistics
• Cognitive Modeling
• Eye-Tracking
• +۱۲ مورد دیگر

Titus von der Malsburg is a tenure-track Junior Professor of Psycholinguistics and Cognitive Modeling at the Institute of Linguistics, University of Stuttgart . His research focuses on incremental sentence comprehension, implicit gender biases, scanpath analysis, and computational modeling of language processing. He employs experimental methods like eye-tracking, ERP, and Bayesian statistics to investigate how humans integrate linguistic and cognitive cues during reading. Education : PhD in Cognitive Science (University of Potsdam), with postdoctoral positions at UC San Diego, University of Oxford, and University of Potsdam. His work spans psycholinguistics, cognitive science, and natural language processing, with a strong emphasis on reproducibility and open-source software development. He has contributed to debates on agreement attraction, semantic parsing, and the role of conversational principles in cognitive biases. His lab uses advanced eye-tracking equipment and promotes technical rigor in research practices. Recent publications highlight his contributions to understanding memory decay in syntactic dependencies, semantic attraction effects, and scanpath regularity as a predictor of reading comprehension. The lab actively seeks collaborators aligned with its focus on technical quality and open science. Notably, he clarifies his name’s correct formatting to avoid common misattributions.

• Cognitive Science
• Visual Perception
• Attention
• +۵ مورد دیگر

Dr. Elisabeth Hein is a Scientific Assistant and Post-doctoral Fellow at the Evolutionary Cognition Research Group within the Department of Psychology, Faculty of Science, University of Tübingen. She holds a PhD in Psychology (2006, University of Tübingen) and a Master’s in Cognitive and Experimental Psychology (2002, Université Louis Pasteur, Strasbourg). Her research focuses on object cognition , visual perception , and the role of attention and features in resolving motion correspondence in dynamic displays. She has secured multiple competitive grants from the Deutsche Forschungsgemeinschaft (DFG) and the Volkswagen-Stiftung . Education : PhD in Psychology, University of Tübingen (2006) Master’s in Cognitive and Experimental Psychology, Université Louis Pasteur, Strasbourg (2002) Licence in Psychology, Université Louis Pasteur, Strasbourg (2001) Her recent work explores cross-modal correspondence (auditory-visual parallels), scene-based motion processing , and the neural mechanisms of attention in perceptual integration. She has authored peer-reviewed publications in journals like Journal of Experimental Psychology , Attention, Perception & Psychophysics , and Journal of Vision . Scientific Awards : 2020 DFG Continuation Research Grant 2014 DFG Research Grant 2008 Volkswagen-Stiftung Fellowship 2002-2005 DFG Graduate Fellowship Elisabeth Hein serves as a peer reviewer for journals including Acta Psychologica and Psychonomic Bulletin & Review , and has organized conferences and committees such as the Vision Sciences Society and European Conference on Visual Perception . She also contributes to student advisory services and academic governance at the University of Tübingen.

• Wireless Communications
• Internet of Things (IoT)
• Edge Computing
• +۷ مورد دیگر

Zheng Chang is a Professor at the Institute of Computing Technology, School of Computer Science and Technology, University of Chinese Academy of Sciences in Beijing, China. With a PhD from the University of Jyväskylä (2013), Chang has established a prolific research career with over 240 publications spanning from 2011 to 2025. Chang maintains strong collaborative ties with researchers at the Chinese Academy of Sciences' Shenyang Institute of Automation and has developed significant international collaborations, particularly with Finnish researchers including Timo Hämäläinen. Chang's research focuses on cutting-edge areas at the intersection of wireless communications, artificial intelligence, and edge computing. Their work prominently features federated learning, UAV networks, resource allocation, and privacy-preserving techniques for IoT applications. Recent publications demonstrate a strong emphasis on vehicular edge intelligence, split learning architectures, and RIS-assisted communications. The research output shows consistent growth with 42 publications in 2024 alone, indicating an active and expanding research program. Chang's 15 most recent publications reveal a clear research trajectory toward addressing the challenges of resource-constrained edge environments through innovative learning architectures. The work spans theoretical frameworks for privacy preservation in federated learning to practical implementations for UAV networks and vehicular systems. A notable trend is the integration of AI-generated content techniques with traditional federated learning approaches to overcome data scarcity issues in edge environments. While specific awards aren't documented in the provided text, Chang's extensive publication record in top-tier IEEE journals including IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology demonstrates significant scholarly impact. The research has been widely cited, with multiple highly cited co-authors including Timo Hämäläinen (66 co-authored papers), Zhu Han (38 papers), and Geyong Min (31 papers). Chang's work shows strong practical applications across multiple domains including intelligent transportation systems, smart agriculture, healthcare IoT, and next-generation 6G networks. The research program appears well-funded through collaborations with major institutions and demonstrates clear translational potential for real-world deployment in edge computing environments.

• Satellite Communications
• Signal Processing
• Quantum Key Distribution
• +۷ مورد دیگر

Juan Carlos Merlano Duncan is a researcher at the University of Luxembourg, affiliated with the Interdisciplinary Centre for Security, Reliability and Trust (SnT). His work focuses on satellite communications, signal processing, and synchronization techniques for distributed systems.

Birte Glimmمشاهده پروفایل

استاد

• Knowledge Representation
• Automatic Reasoning
• Semantic Web Technologies
• +۳ مورد دیگر

Prof. Birte Glimm is a full Professor and Chair of the Institute of Artificial Intelligence at the University of Ulm. She holds leadership roles in academic governance, including as Dean of Studies for Cognitive Systems and Computer Science programs. Her research focuses on knowledge representation, automated reasoning, and semantic web technologies, with applications in autonomous systems and intelligent assistants. She has led projects like the 'Companion-Technology for Home Improvement' and contributed to standards such as SPARQL 1.1 Entailment Regimes. Education: PhD (2008) from the University of Manchester under Prof. Ian Horrocks, BSc from Hamburg University of Applied Sciences (2004), and prior industry experience in communication design. Research Interests: Development of efficient reasoning algorithms for Description Logics, ontology-based data management, and explainable AI. Her work emphasizes scalability, dynamic knowledge processing (e.g., for autonomous vehicles), and natural language explanations of automated reasoning. She co-leads the DFG-funded KEMAI research training group and previously led the BMBF project 2LIKE. Awards: Google Faculty Award (2017), Mileva Einstein-Marić-Preis (2016), and multiple best paper awards. She has served on numerous conference committees and editorial boards, including the OWL 2 Conformance Specification. Teaching: Courses on Knowledge-Based AI, Semantic Web Foundations, and programming for cognitive systems. She coordinates curricula for Computer Science and AI programs at Ulm. Labs/Teams: Institute of Artificial Intelligence; contributions to Collaborative Research Centers SFB/TRR 62 and EU projects in AI for industry.

Jürgen Brehmمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Parallel Processing
• E-Learning
• +۶ مورد دیگر

Jürgen Brehm is an Adjunct Professor at the Faculty of Electrical Engineering and Computer Science of Leibniz University Hannover . He holds a venia legendi in Computer Engineering after completing his habilitation in 2000. Education: Diploma in Computer Science (1986), Doctorate in Engineering (1991), Habilitation (2000) Research interests span computer architecture , parallel processing , performance analysis , and e-learning . His work explores ubiquitous computing , communication architectures , and optimization algorithms . Recent publications highlight trends in parallel computing , optimization , and interactive systems , including works on swarm intelligence , particle swarm optimization , and open content integration. Scientific award : Feodor Lynen Fellowship (1994) Teaching includes core courses like Basics of Computer Architecture , Operating Systems , and Parallel Processing . He also designed two multimedia-equipped computer science lecture halls and managed large-scale DFG projects for e-learning and HPC computing.

• Distributed Computing
• High-Performance Computing
• Parallel Systems
• +۷ مورد دیگر

Tore Brox-Larsen is an Associate Professor in the Department of Informatics at UiT The Arctic University of Norway. He is actively involved in research and teaching, with a focus on distributed computing, high-performance systems, and visualization technologies. His work is centered on scalable systems for large displays, sensor networks, and remote data visualization, often in collaboration with interdisciplinary teams. His research interests include distributed and parallel computing, remote visualization over wide-area networks, large-scale display systems, health informatics, and Arctic monitoring technologies. He has contributed significantly to the development of systems for tiled display walls, genomics visualization, and sensor-based observatories. His work bridges theoretical computer science with practical applications in healthcare, environmental monitoring, and collaborative research environments. The most recent publications reflect a strong trend in applying computing technologies to real-world challenges, particularly in Arctic research and healthcare. His work emphasizes performance optimization, usability, and scalability in distributed systems. Topics span from low-level communication latency analysis to high-level collaborative visualization frameworks. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no explicit information about students advised or research grants received. However, his extensive publication record and collaborative projects suggest active participation in funded research initiatives and potential mentorship of junior researchers and students. Labs and Teams: Tore Brox-Larsen is part of a long-standing research group at UiT involving Otto Anshus, John Markus Bjørndalen, and others, focusing on high-performance distributed systems. He has contributed to the development of the MultiStream system, scalable display walls, and the Arctic observatory sensor network. His work indicates involvement in both software and systems research teams, likely associated with UiT’s informatics infrastructure and high-performance computing initiatives.

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۸ مورد دیگر

Bing Qin is a Researcher specializing in computational linguistics, artificial intelligence, and multimodal learning. Their work focuses on enhancing large language models' capabilities in temporal knowledge graph forecasting, cross-lingual alignment, and safety mechanisms. Core Research Areas: Knowledge graphs, multimodal systems, reasoning frameworks Technical Innovations: Analogical replay, gain signal estimation, cross-modal attention intervention Recent Trends: 2025 publications emphasize training-free methods and preference alignment in LLMs

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۷ مورد دیگر

Jing Jiang is a prominent researcher at Singapore Management University, specializing in Natural Language Processing (NLP), Computational Linguistics, and Artificial Intelligence. His work spans diverse areas including Vision-Language Models, Machine Translation, Knowledge Graph Reasoning, Sentiment Analysis, and Social Media Discourse Modeling. Key contributions include frameworks for consistent client simulation in mental health counseling and counterfactual contrastive prefix-tuning for many-class classification. He has pioneered methods in zero-shot VQA with interpretable reasoning graphs , cross-lingual understanding with universal syntax , and modularized zero-shot architectures . His research often combines theoretical insights with practical implementations, as seen in works on stereotypical bias in vision-language models (VLStereoSet), tensorized self-attention for dependency modeling, and collaborative relation-augmented attention for knowledge graph completion. Jing Jiang's collaborations span global experts in NLP and AI, with co-authors from institutions like SMU, Waseda University, and Microsoft Research.

• Organic Computing
• Evolutionary Algorithms
• Learning Classifier Systems
• +۶ مورد دیگر

Professor Jörg Hähner holds the Chair of Organic Computing at the University of Augsburg's Faculty of Applied Computer Science within the Institute of Computer Science. He leads a research team focused on evolutionary computation, self-organizing systems, and intelligent computing approaches. His educational background includes computer science studies at TU Darmstadt. His academic career progression shows steady advancement in the field of organic and self-organizing computing systems. Prof. Hähner's research spans multiple interconnected domains in computational intelligence. His primary focus is on Organic Computing, which involves developing systems that can adapt and self-organize in complex environments. Within this framework, he has made significant contributions to Evolutionary Algorithms, particularly Cartesian Genetic Programming and Learning Classifier Systems. His work explores how these techniques can be applied to real-world problems such as predictive maintenance, energy systems optimization, and industrial automation. The research demonstrates a strong emphasis on both theoretical foundations and practical applications of self-adaptive systems. An analysis of his recent publications reveals a strong concentration on evolutionary computation techniques, particularly Cartesian Genetic Programming variants and Learning Classifier Systems. His research group has been actively developing frameworks like CRust_GP and GRAHF to advance modular construction of evolutionary algorithms. There's a clear trend toward applying these techniques to industrial problems including predictive maintenance, resource allocation in networks, and energy management systems. The publications show consistent exploration of fundamental questions about algorithm behavior while maintaining strong connections to practical applications. Prof. Hähner leads an active research group with numerous PhD students and collaborators, including Karen Poloczek, Henning Cui, Victor Gerling, Dr. Michael Heider, Marco Hüller, Neele Kemper, Helena Stegherr, Jonathan Wurth, and Roman Sraj. His team regularly publishes in top-tier conferences and journals in evolutionary computation, intelligent systems, and industrial applications. The Organic Computing research group maintains a strong presence in both theoretical and applied research, with projects spanning from foundational algorithm development to industrial applications in manufacturing, energy systems, and network optimization. The group's work demonstrates a cohesive research vision centered on creating adaptive, self-organizing computational systems that can operate effectively in complex real-world environments.

Jürgen Strothmannمشاهده پروفایل

مدرس

• Ancient History
• Medieval History
• Political Reception of Antiquity
• +۹ مورد دیگر

Jürgen Strothmann is a lecturer in Ancient History and Medieval History at the Faculty of Humanities, University of Siegen, where he has served since May 2011 in the role of Lecturer for Special Tasks. He holds a habilitation from 2013 and a doctorate from 1996, and his academic career includes research and teaching positions at Ruhr University Bochum, University of Dortmund, University of Paderborn, and archival work at ThyssenKrupp. He is an active scholar in medieval political and cultural history, with a focus on the transition from antiquity to the early Middle Ages. Education: Studied History, Ancient History, and Philosophy at Ruhr University Bochum (1986–1992) Master of Arts (1992) Promotion (PhD), June 27, 1996 Habilitation, July 19, 2013 His research centers on the political reception of antiquity, Carolingian and Merovingian political orders, and the use of numismatic evidence—particularly Merovingian monetary coins—as sources for understanding societal structures in 7th-century Gaul. He investigates how ancient concepts of rule were adapted in medieval contexts and explores the role of civitates in maintaining political continuity after Roman rule. His current focus includes the Alpine region’s cultural and political significance between antiquity and the early Middle Ages. His recent publications reflect a strong interdisciplinary approach, combining historical, numismatic, and philological methods. Themes across his work include sacral kingship, symbolic representation of power, and the function of borders and space in early medieval governance. He has contributed to major reference works such as Brill's New Pauly , and his monograph Emperor and Senate examines Rome's political claims during the Hohenstaufen period. While no scientific awards are explicitly listed, his sustained scholarly output and leadership in DFG-funded projects demonstrate recognition in his field. He has supervised research assistants and contributed to collaborative academic endeavors, though no named students are listed. He has been involved in major editorial and research projects, including the interdisciplinary DFG project on Merovingian coins at the University of Paderborn (2007–2009). He is affiliated with the Research Center for Transnational Cultural History and the Research Center for Regional Cultural History at the University of Siegen. Dr. Strothmann maintains an active research agenda, with several publications in preparation, particularly on numismatic sources and early medieval political structures. His office is located in AR-H 204 at Adolf-Reichwein-Str. 2, Siegen, and he can be reached via email at juergen.strothmann@uni-siegen.de.

Angelika Peerمشاهده پروفایل

استاد

• Human-Robot Interaction
• Telepresence and Teleaction Systems
• Brain-Computer Interfaces
• +۴ مورد دیگر

Angelika Peer is a full professor at the Bristol Robotics Laboratory, University of the West of England. She holds a Carl von Linde Junior Fellowship (2012) and previously served as a senior researcher and lecturer at Technische Universität München (TUM). Her research focuses on human-robot interaction, telepresence systems, and haptic interfaces, combining control engineering, neuroscience, and psychology. Peer leads interdisciplinary projects involving brain-computer interfaces and human motor control adaptation. Education: PhD 2008 (TUM), MEng 2004 (TUM). Professional roles include chair of IEEE RAS Technical Committee on Telerobotics, and editorial roles in haptics. Awards include IEEE Meritorious Service (2010) and Siemens Excellence Award (2004). Research emphasizes adaptive teleoperation systems, intention recognition algorithms, and human-robot collaboration dynamics. Key contributions include multi-modal telepresence systems, safety-constrained assistive robotics, and EEG-based emotion recognition frameworks. Publications span robotics journals/conferences (IEEE Transactions, ICRA, Haptics), with focus areas in haptic interfaces, shared control policies, and medical robotics applications. Active in organizing international workshops and editorial activities.

Stefan Lankesمشاهده پروفایل

پژوهشگر

• Operating Systems
• System Software
• High-Performance Computing
• +۴ مورد دیگر

Dr. rer. nat. Stefan Lankes is an academic researcher at the Chair of Automation of Complex Power Systems, RWTH Aachen University's Faculty of Electrical Engineering and Information Technology. His work focuses on operating systems, high-performance computing (HPC), cloud computing, and lightweight virtualization techniques for embedded and real-time systems. Stefan holds a PhD in Electrical Engineering (2003) for his dissertation on real-time distributed platforms. His career spans roles from Scientific Assistant (1998-2004) to Academic Director (since 2019), with key contributions to HPC infrastructure and simulation environments. Research highlights include Rust-based OS development ( HermitCore unikernel ), GPU virtualization in distributed systems, and energy-efficient embedded computing paradigms. He pioneered the FlippedOS digital teaching platform using virtual workstations for operating systems education. Scientific awards include the 2016 Digital Teaching Fellowship and the 2021 RWTH Lecturer distinction. His publications cover topics from NUMA memory management to real-time CORBA protocols, with recent works addressing unikernel security and CUDA virtualization. Stefan leads simulation infrastructure and HPC virtualization projects, with affiliations to the E.ON Energy Research Center and involvement in European workshops like Euro-Par. His work bridges system software innovation with practical applications in energy systems and supercomputing.

Marcel Aachمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• High-Performance Computing
• Machine Learning
• +۳ مورد دیگر

Marcel Aach is a researcher at the Jülich Supercomputing Centre (JSC) within Research Centre Jülich, focusing on high-performance computing (HPC) and artificial intelligence (AI) integration. His work spans hyperparameter optimization, quantum-classical hybrid systems, and scalable deep learning architectures. Research Focus: AI-driven CFD simulations, medical imaging analysis, and edge AI optimization Infrastructure: Leverages JSC's HPC systems for large-scale computational tasks Recent publications highlight his contributions to resource-adaptive AI training, turbulent flow prediction using GRU models, and enhancing CT data accuracy for respiratory simulations. His work intersects HPC scalability, machine learning efficiency, and interdisciplinary applications. While no scientific awards are explicitly documented in the provided texts, his research demonstrates technical leadership in merging classical and quantum computing paradigms for AI optimization.

Joachim Falkمشاهده پروفایل

پژوهشگر

• Electronic System Level Design
• Hardware-Software Co-Design
• Data-Flow Graphs
• +۶ مورد دیگر

Joachim Falk is a researcher at the Department of Hardware-Software Co-Design (Computer Science 12) at Friedrich Alexander University Erlangen-Nuremberg. With over 20 years of experience since joining the department in 2004, he specializes in electronic system level design, dataflow programming, and hardware-software co-design, contributing significantly to the field through publications, teaching, and research leadership. His educational background includes: Doctorate degree (Dr.-Ing.) in Computer Science from FAU (2014) Diploma degree in electrical engineering (data processing) from Georg-Simon-Ohm University of Applied Science Nuremberg (2002) Falk's research focuses on Electronic System Level Design, Hardware/Software Code Generation for Data-Flow Graphs, Compiler Optimizations, and Parallel Architectures. His work bridges theoretical computer science with practical embedded systems implementation, particularly through the SystemC framework and his contributions to the SysteMoC language. He actively explores energy-efficient computing approaches for dataflow networks and embedded systems, with recent work emphasizing self-powering networks, clock and power gating techniques, and multi-reader buffer implementations for heterogeneous architectures. His recent publication trends reveal a consistent focus on optimizing dataflow networks for energy efficiency and performance. Key themes include self-powering dataflow networks, innovative clock and power management techniques, buffer management strategies for heterogeneous many-core systems, and invasive computing approaches. His research demonstrates a strong connection between theoretical models and practical implementation challenges in embedded systems design. Dr. Falk teaches courses including 'Entwicklung interaktiver eingebetteter Systeme' (Development of Interactive Embedded Systems) for Winter Semester 2024/2025 and 'SystemC' for Summer Semester 2024, supervising multiple theses on security modeling at the electronic system level and sleep/wake-up strategies for hardware implementations of dataflow networks. His research is conducted within the framework of projects like SysteMoC (representation of computational models in SystemC) and SystemCoDesigner (design space exploration for embedded systems).