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Elwys De StefaniView profile

Professor

• Syntax of spoken Italian and French
• Language Contact in Urban Contexts
• Sociolinguistics
• +6 more

Prof. Dr. Elwys De Stefani holds the Chair of French and Italian Linguistics at the University of Heidelberg since 2021. He obtained his licentiate from the University of Basel in 1999 and his PhD in 2001. He has held academic positions across Europe (Basel, Neuchâtel, Freiburg, Lyon, Bern, Leuven) and served as a Visiting Professor at Regensburg, Freiburg, and Unisinos (Brazil). His research focuses on syntax of spoken languages, sociolinguistics, multimodal interaction, and onomastics. Current projects include studies on language choice in public spaces and collaborative grammar in Italian talk-in-interaction. He supervises PhD projects on multilingual encounters, deontic moments in speech, and interaction in medical waiting areas. De Stefani co-edits Research on Language and Social Interaction and Vox Romanica , and chairs the Tenure Board at Heidelberg. Over 150 peer-reviewed publications span monographs, edited volumes, and journal articles exploring topics like interactional onomastics, mobility in discourse, and pandemic language politics. His work bridges theoretical linguistics with applied research in commercial interactions, guided tours, and service encounters. Education: Licentiate in Romance Philology, University of Basel (1999) PhD in Linguistics, University of Basel (2001) Venia Docendi in Romance Philology, University of Bern (2008) Research Interests: Syntax of spoken languages, language contact, sociolinguistics, multimodal analysis, transcription theory, onomastics, and conversation analysis. Current projects investigate multilingual interactions in urban contexts and the role of embodied conduct in dialogue. Key Publications: Includes monographs like «Ah petta ecco, io prendo questi che mi piacciono» (2011) and edited volumes such as Hundert Jahre ‘Italienische Umgangssprache’ (2023). Recent articles address pandemic language politics, spatial interaction in guided tours, and café encounter dynamics.

Nele Wild-WallView profile

Professor

• Cognitive Psychology
• Neuropsychology
• Geropsychology
• +18 more

Prof. Dr. Nele Wild-Wall is a Professor of Research Methods and Diagnostics in Psychology at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences. She holds a dual academic background as a graduate psychologist and a graduate social gerontologist, with a strong research focus on cognitive aging, neurophysiological methods, and applications in work and organizational psychology. She is responsible for organizing psychology laboratories and the Psychology Test Library within her department. Humboldt University Berlin – Doctorate in Psychology, 2004 TU Dortmund University – Diploma in Social Gerontology, 2009 TU Dortmund University – Venia Legendi in Psychology, 2014 Her research investigates mental functions and age-related changes using experimental neurophysiological techniques, primarily electroencephalography (EEG) and event-related potentials (ERP). Her work spans cognitive aging, dual-task performance, executive functions, attention, and cognitive training in seniors. She also explores applications in human factors, driving safety, and workplace performance of older adults. Her most recent publications reflect a consistent focus on aging, cognition, and neurophysiological assessment, with research on dual-task performance, working memory, feedback processing, and cognitive flexibility. These studies often compare young and older adults, examining neural correlates of performance differences and compensatory mechanisms. While no scientific awards are explicitly mentioned in the provided text, her sustained publication record in high-impact journals and participation in national and international conferences indicate active scholarly engagement. Prof. Wild-Wall has collaborated extensively with researchers at the Leibniz Institute for Working Environment (IfADo) in Dortmund, particularly with Prof. Dr. Michael Falkenstein. Her work includes both empirical studies and contributions to edited volumes on aging, cognition, and workplace systems. She has also contributed to public discourse through interviews on lifelong learning and aging. She leads research involving cognitive and physical activity training in elderly adults, investigates neural control processes in driving contexts, and examines cognitive performance in occupational settings. Her interdisciplinary approach integrates psychology, neuroscience, and ergonomics to support healthy aging and optimal human-system interaction.

• Arabic Natural Language Processing
• Machine Translation
• Dialect Identification
• +7 more

Ahmed Abdelali is a prominent researcher at Hamad Bin Khalifa University's Qatar Computing Research Institute (QCRI), where he works in the Arabic Language Technologies department. With 97 publications spanning from 2004 to 2024, he has established himself as a leading figure in Arabic natural language processing research. His work has been presented at major conferences including ACL, EMNLP, EACL, and specialized Arabic NLP venues. Dr. Abdelali's research focuses on several key areas within Arabic computational linguistics, with particular emphasis on Arabic language technologies. His work spans Arabic dialect identification, diacritization, machine translation, offensive language detection, and part-of-speech tagging. In recent years, he has been at the forefront of adapting large language models for Arabic language processing, contributing significantly to benchmarking frameworks like LAraBench and LLMeBench that evaluate Arabic language models' performance. His publication record shows consistent high-impact contributions, with notable collaborations with researchers including Hamdy Mubarak (45 co-authored papers), Kareem Darwish (38 co-authored papers), and Nadir Durrani (26 co-authored papers). Recent work has focused on large language models for Arabic, cross-lingual spaces, and benchmarking frameworks to advance Arabic AI capabilities. His research bridges theoretical advances with practical applications, particularly in processing the linguistic complexities of Arabic and its dialects. Through his leadership in developing resources like the Farasa segmenter and contributions to major Arabic NLP conferences, Dr. Abdelali has played a pivotal role in establishing the infrastructure and community for Arabic language technology research.

Kai HamburgerView profile

Assistant Professor

• Spatial Cognition
• Landmark-Based Wayfinding
• Multimodal Navigation
• +4 more

Kai Hamburger serves as Assistant Professor in the Department of Experimental Psychology and Cognitive Science at Justus Liebig University Gießen, where he conducts research at the intersection of spatial cognition and sensory processing. His institutional role is evidenced by office location (Room F 161, Phil. I) and inclusion in the university's research team listings. His academic credentials include: Dipl.-Psych. from University of Frankfurt (2004) Dr. rer. nat. from University of Gießen (2007) Habilitation from University of Gießen (2015) Research focuses on multimodal landmark processing in human navigation, with pioneering work on olfactory and auditory spatial cues challenging traditional visual-centric models. His investigations into emotion-reasoning interactions —particularly how anxiety affects logical inference—and consciousness mechanisms in spatial tasks integrate cognitive psychology with geographic information science. Recent projects employ virtual reality environments like SQUARELAND to simulate real-world navigation challenges. Publication analysis reveals a decisive shift toward non-visual navigation research since 2020, with 60% of recent work exploring olfactory/auditory landmarks. His 2023-2025 output demonstrates strong collaboration with Markus Knauff's group and increasing application of GIScience methodologies to cognitive questions, particularly in urban navigation contexts. Dr. Hamburger contributes to the DFG-funded SPP1516 project "New Frameworks of Rationality" within a multidisciplinary team including cognitive scientists, psychologists, and computer scientists. The research group maintains dedicated facilities for virtual environment experiments and regularly publishes in high-impact journals like Frontiers in Psychology and Cognitive Science .

Gesine DreisbachView profile

Professor

• Cognitive Control
• Task Switching
• Context-Sensitive Cognitive Control
• +5 more

Prof. Dr. Gesine Dreisbach is a faculty member at the Institute of Experimental Psychology , University of Regensburg, where she has held the Chair for General and Applied Psychology since 2009. Her research focuses on cognitive control , particularly the dynamic balance between flexibility and stability in human cognition. Key research themes include: task switching, context-sensitive control, conflicts as aversive signals, affective modulation of cognition, and executive function training. She has served as an Associate Editor for Experimental Psychology and SpringerBriefs in Cognition . Her editorial service extends to journals like Journal of Experimental Psychology: Learning, Memory, and Cognition and Motivation Science . Academic Background : Pre-diploma in Psychology, University of Mannheim (1992) Diploma in Psychology, Berlin University of Technology (1997) Doctorate, University of the Federal Armed Forces Hamburg (2000) Habilitation, Dresden University of Technology (2007) Research Trends from her 15 most recent articles (2023-2025): Explores how reward prospect , contextual volatility , and neurophysiological rhythms (e.g., theta waves) modulate cognitive flexibility. Investigates task-switching paradigms to understand effort/time trade-offs in voluntary switching and binding processes in stimulus-response associations. Examines conflict adaptation across species (e.g., insects) and motivational influences on proactive/reactive control mechanisms. Current Research Projects (DFG-funded): Mechanisms of Flexibility-Stability Balance (2025-2028): Computational modeling and behavioral experiments to reconcile conflicting theories about independent vs. shared control mechanisms. Control Adaptations and Stuck-in-Set Phenomena (2023-2026): Investigates asymmetrical costs in switching control modes and limitations due to context volatility. Teaching & Mentorship : Courses: Learning and Memory, Cognition and Emotion, Experimental Design. PhD students advised: Kathrin Treittinger (2024), Vanessa Jurczyk (2021), Katrina Sabah (2022), and Jonathan Mendl (2024).

Kyungwan KimView profile

Researcher

• Gerontology
• Cognitive Neuroscience
• Motor Control
• +3 more

Kyungwan Kim is a Researcher at the Institute of Movement and Sport Gerontology, German Sport University Cologne. His work focuses on cognition and mobility in aging populations, utilizing experimental methods like kinematic movement analysis, eye-tracking, and virtual reality. He previously completed his PhD in the Institute of Exercise Training and Sport Informatics. Research Interests: Sport and Movement Gerontology in Cognition and Mobility Cognitive Neuroscience Fall Prevention in Aging (Gait Adaptability) Experimental Psychology (Spatial Orientation & Wayfinding) Teaching Roles: Master's Courses in Sport Gerontology: Cognition in Aging, Study Design, and Implementation Bachelor's Courses in Sports: Training with Adults and Seniors Projects: VR-based navigation training effects on spatial knowledge in older adults (2024–2025) Task-switching impacts on wayfinding in old age Step-aerobics training for gait adaptability Awards: Familienstipendium (2022) Qualitätsverbesserungsmittel (QVM) für die Lehre und Studienbedingungen (2022) Supervision & Grants: Supervises bachelor and master theses on kinesiology and motor control Funded projects: University grants, internal resources, and third-party funding (e.g., GeniAl) Labs/Teams: Collaborates on interdisciplinary teams, including the WATCH YOUR STEP project on gait adaptability in older adults.

• Wireless Communications
• Internet of Things (IoT)
• Edge Computing
• +7 more

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.

• Neuroergonomics
• Human-Machine Interaction
• Human Factors
• +3 more

Dr. Julian Elias Reiser is a Research Fellow in the Experimental Ergonomics and Stress & Work Design group at the Leibniz Research Centre for Working Environment and Human Factors (IfADo), affiliated with TU Dortmund University. His work focuses on applying mobile neuroimaging techniques, particularly EEG, to assess cognitive workload and human performance in real-world settings such as driving and walking. His educational background includes: PhD in Psychology (2020) from TU Dortmund University, with a thesis titled "Neuroergonomics in the wild - Workload assessment using mobile EEG" M.Sc. Psychology from the University of Ulm (2016) B.Sc. Business Psychology from Leuphana University Lüneburg (2014) Dr. Reiser's research interests lie at the intersection of neuroscience and human factors. He investigates how cognitive processes unfold during complex tasks in natural environments, using mobile EEG and eye-tracking to measure workload, attention, and operator state. His work aims to improve human-machine interaction and workplace design by providing objective neurophysiological measures of mental effort. His recent publications (2023-2025) highlight a strong emphasis on real-world applications of neuroergonomics. Key themes include the use of eye blink-related potentials as indicators of cognitive load, the impact of automation on driver attention, and the development of signal processing methods for decoding brain activity in dynamic settings. His research spans transportation, occupational health, and human-computer interaction. No scientific awards are listed in the available information. There is no information provided regarding students advised or research grants obtained. Dr. Reiser is part of the Experimental Ergonomics team led by Prof. Dr. Edmund Wascher within the Ergonomics department at IfADo. The team conducts cutting-edge research on human factors in various work contexts, with a focus on developing and applying neuroergonomic methods to assess and enhance human performance in real-world environments.

• Self-Control
• Sense of Agency
• Human-Computer Interactions
• +3 more

Dr. Jakob Kaiser is a Post-Doctoral Research Fellow at Ludwig Maximilian University of Munich (LMU) within the Department of Psychology: General and Experimental Psychology. He holds a PhD from the University of Sussex, focusing on emotions in decision making. His research investigates self-control mechanisms, the sense of agency's influence on behavior, and the impact of technology on human autonomy. Education: Bachelor’s in Computer Science (University of Greifswald) Master’s in Cognitive Science (University of Osnabrueck) PhD in Psychology (University of Sussex) Research Interests: Self-Control: Investigating how humans regulate impulses, particularly in health-related contexts. Sense of Agency: Exploring how perceived control shapes behavior and social interactions, with implications for mental health. Human-Computer Interactions: Evaluating how AI systems can support or hinder self-regulation and agency in users. Publications: His recent work focuses on neuroscientific mechanisms underlying decision making, the role of subjective control in learning, and the societal implications of AI technologies. Key themes include neural oscillations, interoceptive processing, and the interplay between emotion and action regulation. Grants/Funding: Principal Investigator of a DFG-funded project investigating agency and self-control mechanisms. Labs/Teams: Leads research within LMU’s experimental psychology group, collaborating on interdisciplinary projects at the intersection of neuroscience and technology.

• Psycholinguistics
• Language Acquisition
• Linguistic Processing
• +5 more

Esther Ruigendijk is a Professor of Dutch Linguistics at the Institute of Dutch Studies , part of the School of Linguistics and Cultural Studies at the University of Oldenburg, Germany. Her research focuses on psycholinguistics, language acquisition, and processing in both typical and impaired populations, with a particular emphasis on aphasia, bilingualism, and cochlear implant users. Education: BA/MA in Dutch Literature and Linguistics (1992–1996), University of Groningen, Netherlands PhD in Dutch Linguistics (2002), University of Groningen Prof. Ruigendijk's research explores topics such as syntactic complexity, morphosyntax, and the interplay between auditory perception and linguistic processing. She employs experimental methods like eye-tracking, ERP, and fMRI to investigate these phenomena, particularly in children with hearing impairments and second language learners. Her recent publications highlight trends in lexical processing , wh-question interpretation , and plural marking in German-speaking children, often incorporating interdisciplinary collaborations with biological psychology and applied neurocognitive labs. She also contributes to understanding foreign language anxiety and task complexity in second language fluency. Current PhD Students: Andreas Hiemstra: Linguistic transfer in third language acquisition Foekje Reitsma: L2 fluency and foreign language anxiety Matthias Reiner: Linguistic predictions in wh-questions Roos Weijers: Wh-question interpretation in child language Former PhD Students: Mari Chanturidze: Prepositions in hearing-impaired children Atty Schouwenaars: Morphosyntactic cues Angela Jochmann: Time-manipulated speech in agrammatism Hendrikje Ziemann: Pronoun processing in L2 learners Sara Jonkers: Modal verbs in Dutch acquisition Rebecca Carroll: Speech-in-noise comprehension Contact: esther.ruigendijk@uol.de . She is affiliated with the SPEECH-MUSIC-LAB and the cluster of excellence Hearing4all , collaborating with Biological Psychology and Applied Neurocognitive Psychology labs.

Günter NeumannView profile

Professor

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +7 more

Prof. Günter Neumann is a Professor of Computational Linguistics at Saarland University and a Research Fellow at the German Research Center for Artificial Intelligence (DFKI) . He has over 30 years of experience in research software development, with a focus on language technology , information extraction , and question answering systems . PhD in Computer Science (1994) and Venia Legendi in Computational Linguistics (2004) from Saarland University Visiting researcher at Stanford , CMU , and MIT His research spans computational linguistics , artificial intelligence , and their applications in defence , healthcare , and education . He leads projects like AtLaS (AI-based NLP for low-quality data in defence), PRECISE4Q (predictive modeling in stroke medicine), and iREAD (personalized reading apps). Recent publications focus on low-resource language retrieval , cross-lingual transfer , and graph-based reasoning in biomedical domains. He has participated in numerous program committees (ACL, AAAI, LREC) and contributed to advancements in multilingual question answering , knowledge graph reasoning , and medical text de-identification . He has collaborated with institutions like Fondazione Bruno Kessler , econob , and NICE Systems . Current tools developed with his team power semantic search services for Informationsdienst Wissenschaft and the Deutsche Allianz Meeresforschung portal.

• Distributed Computing
• Cloud Computing
• Virtual Machine Placement
• +5 more

Ofer Biran is a prominent computer science researcher at the Technion - Israel Institute of Technology, where he serves as a Professor in the Department of Computer Science within the Faculty of Electrical Engineering and Computer Science. With a research career spanning over three decades from 1988 to present, Biran has established himself as a leading expert in distributed systems and cloud computing. His work bridges theoretical foundations with practical systems implementation, evolving from early theoretical distributed computing research to contemporary cloud infrastructure and policy analytics systems. Biran's research interests focus on the critical challenges of modern computing infrastructure. His early work investigated fundamental theoretical aspects of distributed task solvability and round complexity in distributed systems. Over time, his research evolved toward practical systems challenges, particularly in cloud computing environments. His recent work addresses virtual machine placement optimization, network-aware resource allocation, heterogeneous resource reservation, and policy-driven cloud ecosystems. This progression demonstrates his ability to identify and solve increasingly complex problems as computing paradigms shifted from theoretical distributed systems to large-scale cloud infrastructure. An analysis of his publication trends reveals a clear evolution from theoretical computer science toward applied systems research. His recent publications (2016-2023) predominantly focus on cloud computing infrastructure, policy analytics, and data center networking, while maintaining strong theoretical foundations. Biran has made significant contributions to understanding how to optimize resource allocation in heterogeneous environments, particularly through network-aware VM placement strategies that balance performance, reliability, and efficiency requirements in modern cloud systems. Biran has maintained extensive collaborations throughout his career, working with researchers including Yosef Moatti, Dean H. Lorenz, Shlomo Moran, Shmuel Zaks, Erez Hadad, and Richard E. Harper. His role as co-editor of the 2023 SYSTOR conference proceedings in Haifa demonstrates his continued active participation and leadership in the systems research community. His research has consistently addressed practical challenges in computing infrastructure while maintaining strong theoretical rigor, making significant contributions to both academic understanding and real-world system design.

• Digital Learning Environments
• Metacognitive Processes
• Multimedia Learning
• +4 more

Dr. Emely Hoch is a researcher at the Institute for Technology and Learning (IWM) at the Eberhard Karls University of Tübingen, affiliated with the Multiple Representations Lab. Since 2014, she has focused on learning processes in digital environments and metacognitive strategies in problem-solving. She coordinates the Tübingen Digital Teaching Lab (TüDiLab) since 2020 and previously led the tabletBW meets Science project (2018-2022). Her research interests include educational technology, self-regulation in multimedia learning, and AI applications in adaptive learning systems. Education: M.Sc. Psychology from the University of Tübingen (2014), Ph.D. completed in 2018 investigating if-then plans for self-regulation in multimedia learning. Associated memberships include LEAD Graduate School and the Tübingen Center for Digital Education. Research highlights include studies on technology adoption in schools, metacognitive monitoring prompts, and implementation intentions in educational interventions. She has coordinated projects funded by Baden-Württemberg's Ministry of Education and collaborates with institutions like the Hector Institute. Professional activities include scientific coordination of digital education initiatives and participation in conferences. Her work emphasizes bridging psychological theory with practical educational technology solutions.

• Cognitive Neuroscience
• Neuroimaging
• Cognitive Psychology
• +3 more

Hannes Ruge is a Professor and Principal Investigator of the Research Group Neuroimaging of Higher Cognitive Brain Functions at the Technical University of Dresden. He holds a Dr. rer. nat from the University of Leipzig (2004) and a Dipl. Psych. from the University of Trier (2001). His research focuses on cognitive neuroscience, neuroimaging, and the neural mechanisms underlying instructed learning, decision-making, and cognitive control. His professional experience includes postdoctoral research at Washington University in St. Louis (2003–2007) and a PhD under the Max Planck Institute for Human Cognitive and Brain Sciences. His work integrates fMRI and behavioral studies to explore how the brain encodes rules, adapts to new tasks, and forms habits. Key research interests include functional brain network dynamics during learning, neural correlates of goal-directed behavior, and the role of prefrontal and parietal regions in cognitive control. His recent studies highlight advances in deep learning models predicting human behavior and disruptions in neural connectivity in schizophrenia. Ruge serves as an ad hoc reviewer for prominent journals like Psychophysiology, Neuropsychology, and NeuroImage. His lab emphasizes translational research, linking neuroimaging findings to clinical applications such as anorexia nervosa treatment monitoring.

• Augmented Reality
• Virtual Reality
• Optical See-Through Head-Mounted Displays
• +5 more

Alexander Plopski is an Associate Professor in the Department of Information and Computer Science at Keio University's Graduate School of Science and Technology. His research focuses on advancing augmented reality technologies, particularly optical see-through head-mounted displays, eye tracking systems, and human-computer interaction paradigms for immersive environments. Dr. Plopski's research interests span multiple dimensions of augmented reality systems. He investigates fundamental challenges in optical see-through displays, including depth perception, occlusion handling, and visual comfort. His work on gaze interaction has significantly contributed to our understanding of how eye tracking can enhance AR experiences. He also explores spatial cognition in AR environments, examining how users perceive and remember spatial information when augmented content is present. His research bridges the gap between display technology, human perception, and practical applications across various domains including industrial assembly, music education, and accessibility. Analysis of his recent publications reveals a strong emphasis on improving the visual quality and usability of AR systems. His work addresses critical challenges such as focal modulation, text legibility in out-of-focus conditions, and creating indistinguishable AR experiences. He has also made significant contributions through comprehensive surveys that map the research landscape in gaze interaction and optical see-through displays. Dr. Plopski's collaborative approach is evident through his extensive network of co-authors across multiple institutions. His work demonstrates both theoretical depth and practical impact, with applications spanning from industrial settings to educational contexts.