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Jidong ChenView profile

Professor

• Language Acquisition
• Cognitive Linguistics
• Psycholinguistics
• +4 more

Jidong Chen is a Professor in the Department of Linguistics at California State University, Fresno, within the College of Arts and Humanities . He holds a PhD in Linguistics (2008) from the Max Planck Institute for Psycholinguistics and Free University Amsterdam, an MA in Linguistics and Applied Linguistics (2000) from Guangdong University of Foreign Studies, and a BA in English Language and Literature (1997) from Central China Normal University. His research examines language-cognition interactions with foci in: First/second language acquisition (semantic/syntactic development) Cross-linguistic studies (Mandarin, English, Arabic, Spanish) Child/adult language processing Bilingualism and atypical language development Event representation through speech/gesture Chen's recent publications (2017-2022) demonstrate strong emphasis on Mandarin verb acquisition (polysemous verbs, resultative compounds), cross-linguistic cognition (classifier systems, conceptual organization), and developmental syntax (word order, information structure). His work frequently employs empirical and longitudinal methodologies. He teaches courses including Language Acquisition, Psycholinguistics, Bilingualism , and Chinese language at undergraduate/graduate levels. Chen collaborates internationally on projects like speech-gesture event representation ( LDCLab ) and maintains active research profiles in psycholinguistics and developmental linguistics.

Anna EwertView profile

Professor

• Bilingualism
• Second Language Acquisition
• Multicompetence
• +6 more

Anna Ewert is a Professor at the Faculty of English, Adam Mickiewicz University in Poznań. Her research focuses on bilingualism, second language acquisition, multicompetence, and cognitive aspects of language use. MA in English (1986) Ph.D. in English (1998) D.Litt. in linguistics (2010) Her research explores how bilingualism affects cognitive processes, particularly in motion perception, figurative language understanding, and executive functions. She investigates cross-linguistic influences and the dynamic nature of multicompetence, including changes in L1 morphology among Polish students of English. Recent publications show a trend toward analyzing conceptual representations in Polish L2 users of English, meta-analytic reviews of RAN-reading relationships, and theoretical contributions to applied linguistics. Her work combines empirical studies with interdisciplinary frameworks. Award of the Rector of Adam Mickiewicz University for excellence in teaching (1998) Anna Ewert has supervised numerous academic projects and led teacher training programs. She has secured grants from the Rector of AMU (2003), Ministry of Science (2007-2008), and National Science Center (2011-2015) as Principal Investigator. She has also organized international conferences like EUROSLA22 (2012).

Sonja GipperView profile

Researcher

• Language Socialization
• Endangered Languages
• Interactional Linguistics
• +7 more

Dr. Sonja Gipper is a researcher at the University of Cologne , affiliated with the Institute of Linguistics and its General Linguistics department. Her work focuses on the Yurakaré language of Bolivia, language socialization, and interactional linguistics. Educational Background: PhD in Linguistics (2011, Radboud University Nijmegen) Documentation Project (2006-2011, DobeS/Volkswagen Foundation) Research Interests: Language socialization in endangered contexts Epistemic markers in conversation Cross-linguistic pragmatics Ontological shifts in language attitudes Feedback signals in signed/spoken languages Scientific Awards: IPrA's Pragmatics of an Understudied Language Award (2023) Projects & Collaborations: Language Challenges (SSLAC, Uni Cologne) SCOPIC Project (Comparative Corpus Analysis) DFG Network: Interactional Linguistics Conversational Priming in Language Change (2021-2022, FORUM Funded) ELDP Documentation Projects Global South Studies Center (Covid-19 Impact Research) Publications highlight her contributions to understanding Yurakaré grammar, evidentiality, and interactional structures.

David CorinaView profile

Professor

• Neurolinguistics
• Cognitive Neuroscience
• Signed Language (ASL)
• +4 more

David Corina is Professor of Linguistics and Psychology at the University of California, Davis and faculty member at the Center for Mind and Brain, where he directs the Cognitive Neurolinguistics Laboratory. His research investigates cognitive and neural mechanisms of language processing with emphasis on signed (ASL) and spoken languages across deaf and hearing populations. Education: Ph.D. in Psychology and Cognitive Science, UC San Diego (1991) M.A. in Linguistics, Gallaudet University (1983) B.S. in Educational Psychology, New York University (1982, magna cum laude) His work compares language processing in deaf ASL users and hearing speakers, examining developmental effects in deaf children, neurological impairments, and human action processing. Methodologically, he integrates behavioral experiments, EEG/ERP, fMRI, and neuropsychological assessments to elucidate neural plasticity in language systems. Recent publications (2021-2024) reveal expanding focus on cochlear implant outcomes in children, structural brain differences in multilinguals, and aging effects in signers. Electrophysiological approaches dominate current work, exploring ASL-English bilingualism, reading comprehension, and neural adaptations through ERP/fMRI paradigms. No scientific awards were documented in the provided materials. Professor Corina serves as ad hoc editor for numerous scholarly journals, foundations, and funding agencies, indicating significant academic service. Specific research grants and student advising details remain undocumented in available sources. He directs the Cognitive Neurolinguistics Laboratory, which employs interdisciplinary approaches combining linguistics, psychology, and neuroscience to study language neural bases through comparative signed/spoken language research.

• Brain-inspired Circuit Design
• Artificial Intelligence Acceleration
• Spiking Neural Networks
• +3 more

Jason Eshraghian is an Assistant Professor at the Department of Electrical and Computer Engineering, University of California, Santa Cruz. He leads the UCSC Neuromorphic Computing Group, focusing on brain-inspired circuits for AI acceleration and spiking neural networks. His work bridges biological principles with hardware implementation to solve computational challenges in AI efficiency. Assistant Professor, Electrical and Computer Engineering UCSC Neuromorphic Computing Group leader Research intersections: Neuromorphic engineering, AI hardware, spiking networks Research Interests: Dr. Eshraghian's work centers on neuromorphic computing and spiking neural networks for AI acceleration. His lab explores Hardware-software co-design for ultra-low-power systems Memristor-based neural architectures Event-driven medical diagnostics Spiking language models (e.g., SpikeGPT) Closed-loop neurostimulation Article Trends: Recent publications emphasize Scalable neuromorphic architectures for AI (2025: Ising machines, FPGA implementation) Medical applications including cytometry and brain-computer interfaces Energy-efficient designs for language models and tracking systems Hybrid attention mechanisms and temporal learning frameworks

Arnaud ArslangulView profile

Professor

• Second Language Acquisition
• Chinese Linguistics
• Discourse Analysis
• +5 more

Arnaud Arslangul is a University Professor at the National Institute of Oriental Languages and Civilizations (INALCO), specializing in Chinese Studies. He is affiliated with the Center for Linguistic Research on East Asia (CRLAO) and holds the Habilitation à Diriger des Recherches (HDR) in Linguistics from Paris City University (2024). His roles include directing the Department of Chinese Studies at INALCO and coordinating academic programs such as the Bachelor's first year and Master's MEEF Chinese course. Director, Department of Chinese Studies (INALCO) Coordinator, Bachelor's and Master's programs in Chinese HDR in Linguistics (University Paris Cité, 2024) Research Interests: Dr. Arslangul focuses on second language acquisition, particularly information structure and spatial localization processes in L2 Chinese. His work examines narrative discourse, locative particles, directional verb compounds, and existential constructions, often comparing French and Chinese linguistic patterns. He also explores the role of visual stimuli in oral expression and the impact of L1 typology on L2 spatial encoding. Publications: His recent work includes studies on protagonist introduction in L2 narratives, locative phrase organization, and terminology challenges in teaching Chinese grammar. His research trends highlight cross-linguistic differences in spatial conceptualization and pedagogical applications of linguistic findings. Academic Contributions: Dr. Arslangul has presented at international conferences like EuroSLA and edited volumes on L2 acquisition. He co-authored Méthode de chinois (2019), a key resource for advanced Chinese instruction. Labs & Teams: He contributes to the CRLAO (UMR 8563), focusing on East Asian linguistic research, and collaborates on projects like CompCor-v0.1.2, a cross-linguistic corpus.

Pavla NovakovaView profile

Tutor

• Psycholinguistics
• Linguistics
• Cognitive Psychology
• +6 more

Pavla Novakova is a PhD candidate and Associate Tutor at the University of East Anglia, holding positions in both the School of Psychology and the Faculties of Medicine & Health Sciences and Social Sciences. Her ESRC-funded research investigates how cross-linguistic differences in motion event encoding affect attention and memory during eyewitness testimony. She employs experimental methods to analyze how speakers of different languages (e.g., English, Czech, German) perceive, describe, and recall complex events involving movement and object placement. Education PhD Candidate in Psychology, University of East Anglia (Current) MRes in Social Science Research Methods (Linguistics), University of East Anglia, 2022 MA in Global Intercultural Communication, University of East Anglia, 2020 BA in Linguistics, Charles University, 2017 Research Focus Novakova's work bridges linguistics and cognitive psychology, focusing on: Motion event typology (path/manner encoding) Language-driven attention allocation Memory reconstruction in eyewitness scenarios Cross-linguistic comparisons (Slavic vs. Germanic languages) Naturalistic stimulus design for cognitive experiments Awards and Funding Vilem Mathesius Foundation Award (2017) ESRC SeNSS PhD Studentship Academic Roles As an Associate Tutor, she teaches across multiple faculties. Her doctoral supervision team includes Prof. Kenny Coventry (spatial cognition) and Dr. Paul Engelhardt (psycholinguistics). No student advising is currently reported.

Rachel Pulverman-SilvermanView profile

Associate Professor

• Language Development
• Cognitive Development
• Child Development
• +3 more

Rachel Pulverman-Silverman is an Associate Professor of Psychology at Delaware State University. She holds a B.A. in Psychology from Cornell University (2000), an M.A. in Linguistics from the University of Delaware (2002), and a Ph.D. in Linguistics with a Psycholinguistics specialization from the University of Delaware (2005), followed by postdoctoral training in Developmental Psychology at the University of Michigan (2007). Her research focuses on language and cognitive development in infants and young children, particularly exploring how cognitive, linguistic, social, and cultural factors influence early word learning. She also investigates adult second language acquisition, especially motion event descriptions across languages. Key areas of expertise include experimental design for infant research and cross-linguistic developmental comparisons. Notable contributions include studies on infants' attention to motion components (manner/path) as precursors to verb learning, bilingual cognitive development differences between English/Mandarin and English/Chinese learners, and methodological advancements in infant research. Her work spans developmental, cognitive, and psycholinguistic domains with a strong emphasis on cross-cultural and cross-linguistic comparisons. Publications highlight interdisciplinary approaches to understanding foundational cognitive processes underlying language acquisition, with a focus on how preverbal infants conceptualize dynamic events and how these conceptualizations shape later language development.

• Robotics
• Control Systems
• Machine Learning
• +3 more

Cong Wang is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on robotics, control systems, and mechatronics, with a particular emphasis on physical intelligence, robot learning, and human-robot interaction. He has led significant projects funded by the National Science Foundation (NSF), including the CAREER Award for Surrogate Learning in robotics and collaborative work on exoskeleton development for mobility restoration. Wang’s research interests span robotics manipulation, networked systems, and automation technologies. He has published extensively in top-tier conferences and journals, with notable contributions to topics like remote driving systems, video streaming codecs, and UAV-based manufacturing. His work integrates theoretical advancements with practical applications, such as assistive robotics for mobility assistance and teleoperated systems for intelligent transportation. Notable achievements include the NSF CAREER Award and collaborative grants involving interdisciplinary teams. His research has been highlighted in media coverage for innovations in robotic hand skills and exoskeleton technologies. Wang’s lab actively explores adaptive control strategies, crowdsourced learning methodologies, and the ethical implications of automation in labor markets.

Bhuvana NarasimhanView profile

Professor

• Language Acquisition
• Linguistics
• Cognitive Science
• +4 more

Bhuvana Narasimhan is a Professor of Linguistics at the University of Colorado, Boulder, and Director of the Language, Development & Cognition Lab. She is also a Fellow of the Institute of Cognitive Science. Her research focuses on semantics-pragmatics, first language acquisition, and the crosslinguistic study of language-cognition interactions, with a particular emphasis on Hindi and Tamil. Narasimhan holds a PhD in Linguistics from Boston University (1998) and has conducted postdoctoral research at Bell Labs (Hindi text-to-speech synthesis) and the Max Planck Institute for Psycholinguistics (Netherlands). Her work includes corpus-based and experimental studies on child language development, verb semantics, and information structure. Key contributions include longitudinal corpora of caregiver-child interactions in Hindi and Tamil, and edited volumes on event encoding and information structure. Recent research explores ergative case marking in Hindi, differential object marking in Tamil, and computational models of language acquisition. Narasimhan has contributed to special journal issues on topics such as 'Embodied Cognition and Language' and 'The Acquisition of Information Structure.' Her awards include Fellowship at the Max Planck Institute and her current role as Institute of Cognitive Science Fellow. Her lab focuses on interdisciplinary projects combining linguistic theory, experimental methods, and computational modeling. Ongoing research investigates crosslinguistic patterns in motion events, prosodic cues in child language, and cognitive factors shaping syntactic choices.

• Video Coding
• Energy Efficiency
• HEVC
• +4 more

Christian Herglotz is a researcher affiliated with the University of Erlangen-Nuremberg , Germany. His work focuses on energy efficiency in video coding and decoding systems, with a particular emphasis on HEVC and VVC standards. He has published extensively in IEEE journals and conferences like ICIP, ICASSP, and QoMEX, often collaborating with André Kaup and Matthias Kränzler. Key research themes: energy-aware video compression, decoding power optimization, rate-energy-distortion modeling. Co-edited special sections on deep learning-based video coding. Recent Publications (2022-2025): Explored power reduction in HDR video encoding, motion prediction for 360-degree video, and heterogeneous quantization for DNN accelerators. His studies integrate machine learning with traditional codec design to improve energy efficiency. Technical Contributions: Developed models for decoding energy estimation, analyzed carbon impact of streaming devices, and proposed methods for viewport-adaptive motion compensation. Collaborative work spans thermal imaging for power analysis and reliability-aware DNN hardware optimization.

• Neuroscience
• Neurophysiology
• Human Physiology
• +3 more

Asst. Prof. Mehmet Ergen is an academic at Acibadem Mehmet Ali Aydinlar University's School of Medicine, Department of Physiology, since 2010. He holds a Doctorate in Physiology from Istanbul University (2008) and a Veterinary Medicine degree from Istanbul University (2001). His academic positions include Assistant Professor, Year Coordinator (2024–present), and roles in institutional boards like Measurement and Evaluation Board and Course Board Chairman. Research focuses on human physiology, neurophysiology, and neuroscience, with emphasis on EEG analysis in cognitive disorders, neurodegenerative diseases, and sensory processing. His work integrates neuroimaging techniques with clinical applications, addressing conditions like Parkinson's, migraine, and ADHD. Notable contributions include studies on event-related potentials in schizophrenia and genetic modulation of gamma band responses. Ergen has supervised 7 theses, including doctoral research on migrane photophobia and virtual reality applications in Parkinson's. He actively contributes to academic governance, peer review (e.g., BMC Psychiatry, Scientific Reports), and international conferences (e.g., 22nd National Neuroscience Congress). He is a Board Member of the Brain Research Society (Turkey) and part of the Adalab/Brain And Mind Group. Awards: Beyin Araştırmaları Derneği Travel and Education Grant (2005) Teaching: Specializes in neurophysiology, cognitive neuroscience, and physiology courses across undergraduate, postgraduate, and doctoral programs. Labs/Groups: Member of the Adalab/Brain And Mind Group, focusing on interdisciplinary neuroscience research.

David NicholsView profile

Professor

• Visual Psychophysics
• Computational Modeling
• Cognitive Neuroscience
• +3 more

David Nichols is a Professor in the Department of Psychology at Roanoke College, where he specializes in neuroscience, sensation and perception, and computational modeling. He holds a Ph.D. in Experimental Psychology from Florida Atlantic University (2006), complemented by M.A. and B.A. degrees from the same institution. His research employs psychophysical and neuroimaging methods to investigate visual perception, brain maturation, and EEG applications in education. Research Focus Dr. Nichols' work spans visual psychophysics (e.g., motion perception, interocular suppression), computational modeling of neural processes, and cognitive neuroscience applications in EEG and fMRI. His recent studies examine brain maturation patterns, Alzheimer's disease biomarkers, and methodological innovations in undergraduate neuroscience education. Publications frequently involve undergraduate collaborators, reflecting his commitment to the teacher-scholar model. Publication Trends His 15 most recent articles (2013-2025) demonstrate interdisciplinary work bridging neuroscience, psychology, and education. Dominant themes include neuroimaging validation studies (fMRI/EEG), perceptual mechanisms (motion, face, and accent processing), and pedagogical research on undergraduate neuroscience training. Methodological rigor and real-world applicability characterize his scholarly output. Academic Contributions Dr. Nichols develops curriculum resources for computational neuroscience and EEG methodologies, emphasizing hands-on MATLAB training. He mentors undergraduate researchers across projects ranging from brain wave analysis to dementia studies, though specific student names are not listed in available sources. No scientific awards or lab affiliations are documented in the provided materials.

Paula Cifuentes-FérezView profile

Professor

• Cognitive Linguistics
• Translation Studies
• Contrastive Linguistics (English-Spanish)
• +9 more

Paula Cifuentes-Férez is a Full Professor at the University of Murcia, Spain, affiliated with the Department of Translation and Interpreting within the Faculty of Arts and Humanities. She has been a faculty member since 2020 and currently serves as Vice-Dean of Internationalization at the Faculty of Arts. She is an active researcher and educator in translation and cognitive linguistics. PhD from the University of Murcia (2008) Supervised by Dr. Javier Valenzuela Manzanares Research stays at Max Planck Institute, Northwestern University, Institute of Cognitive Science, University of East Anglia, and Adam Mickiewicz University Her research interests focus on cognitive linguistics applied to English-Spanish contrastive studies, the cognitive processes in translation, and the role of personality and emotions in translation performance. She investigates how linguistic typology influences translation strategies, memory, and perception, particularly in motion events. Her work bridges translation theory, psycholinguistics, and cognitive science. Her recent publications explore themes such as the translation of boundary-crossing events, creativity and self-esteem in translators, time pressure effects, and the reception of dubbed content. These works reflect a strong interdisciplinary trend combining experimental methods (key-logging, screen recording, psychophysiological measures) with cognitive and linguistic theories. Member of the Translation, Didactics and Cognition research group Member of TRADICO Innova teaching innovation group Member of TREC Network and AELCO (Spanish Association of Cognitive Linguistics) Treasurer of AIETI (Iberian Association of Translation and Interpreting Studies) She has participated in six research projects and is currently involved in the EMOTRA2 project (PID2021-123650NB-100), funded by the Ministry of Economy and Competitiveness, focusing on emotions and translation. She has presented over fifty papers at international and national conferences. While student supervision is implied by her role and research activity, specific names of advisees are not listed in the provided texts.

• Cognitive Psychology
• Educational Technology
• Virtual Reality
• +3 more

Dr. Bärbel Garsoffky is a Researcher and Deputy Head of the Realistic Depictions Lab at the Leibniz Institute for Science Education (IWM) in Tübingen, where she has been a scientific employee since 2001. She additionally serves as Library and Open Access Officer, managing scholarly resources and institutional repositories. Her career centers on cognitive processes within informal information environments, with significant contributions to understanding learning in digital and immersive contexts. Garsoffky earned her Diploma in Psychology from the University of Tübingen in 1994, followed by a PhD from the Deutsches Institut für Fernstudienforschung in 2000 with her dissertation on "Viewpoint dependency of event recognition such as soccer scenes". This foundational research established her expertise in visual perception and cognitive processing of dynamic events. Her research integrates cognitive psychology, educational technology, and museum studies to investigate how spatial and temporal factors in digital environments shape learning. Key interests include virtual room geometry effects on memory, temporal gaps in event perception, and authenticity-digitality interplay in informal learning sites. She examines how these elements influence cognitive load, knowledge acquisition, and user experience in museums and virtual settings. Analysis of her recent publications reveals a clear trajectory toward immersive virtual environments as learning spaces, with seminal work on corner effects in memory retention. She pioneers methodologies for studying digital materialities, comparing virtual and physical museum artifacts, and leads the BILAD international research network to advance cross-cultural understanding of digital authenticity in education. Within the Realistic Depictions Lab, Garsoffky co-organizes workshops including BILAD Network Meetings and the International Workshop on Perceptual and Cognitive Processes of Learning from 3D. Her leadership extends to project management for "Digital Materialities" (2021-2024) and "Cognitive processes in digital immersive environments" (ongoing since 2018), driving innovation in educational technology and cognitive science.