جست‌وجوی استاد و پژوهشگر

Shantanu Guptaمشاهده پروفایل

استادیار

• Aviation Machine Learning
• Aviation Artificial Intelligence
• Aviation Data Analytics
• +۴ مورد دیگر

Dr. Shantanu Gupta is an Assistant Professor in the School of Aviation at Bowling Green State University (BGSU), where he has been serving since 2024. His academic journey includes positions as Instructor-of-Record at Purdue University for Aviation Finance (Spring 2024, Fall 2022), Graduate Research Assistant at Purdue's School of Aviation and Transportation Technology (2020–2023), and Graduate Teaching Assistant in Purdue's Department of Mathematics (Fall 2019). Education: Ph.D. in Technology, Purdue University (2024) Graduate Certificate in Applied Statistics, Purdue University (2021) M.S. in Aviation and Aerospace Management, Purdue University (2019) B.E. in Mechanical Engineering, Visvesvaraya Technological University, India (2017) Dr. Gupta's research integrates advanced computational methods with aviation challenges. Primary focus areas include: Machine learning and AI applications in aviation systems Aviation data analytics for transportation optimization Sustainable aviation management and education methodologies Aviation safety enhancement through data-driven approaches His 13 recent publications demonstrate consistent focus on aviation technology innovation, with dominant themes including safety analysis (helicopter EMS accidents), operational efficiency (taxi-time optimization), automated reporting systems (pilot weather reports), and sustainability integration in aviation education. Methodologies frequently employ machine learning, statistical modeling, and discrete-event simulation. No scientific awards, grants, student advisements, or laboratory affiliations are currently documented in the provided materials.

Eva María Domínguez Noyaمشاهده پروفایل

پژوهشگر

• Computational Linguistics
• Corpus Linguistics
• Morphosyntactic Annotation
• +۴ مورد دیگر

Eva María Domínguez Noya is a Researcher at the University of Santiago de Compostela's Faculty of Philology, where she obtained her PhD in 2013 with the thesis Automatic Labeling and Disambiguation in Galician: The Xiada System . She graduated in Hispanic Philology (1993) and Galician-Portuguese Philology (1996) at the same institution. Coordinates the linguistic component of the Reference Corpus of Contemporary Galician (CORGA) Responsible for linguistic resources in the XIADA tagger for morphosyntactic analysis Collaborated in Spanish-language projects: DRASAE (automated syntactic analysis) and ESLORA (spoken Spanish corpus) Her research focuses on computational linguistics for Galician and Spanish , with expertise in corpus construction, annotation challenges, and information retrieval tools. Current work emphasizes improving morphosyntactic annotation through linguistic rule creation and automated lemmatization, alongside manual syntactic analysis of oral registers with future semi-automatic implementation. Recent publications highlight hybrid linguistic resource applications in corpus analysis, version updates for CORGA, and advancements in XIADA tagger development. She actively participates in academic presentations at events like Xeira CLARIAH-GAL and contributes to research training at the Institute of Linguistics (ILG). Contact: evamaria.dominguez@usc.gal , Phone: +34 8818 12809

Anna Ewertمشاهده پروفایل

استاد

• Bilingualism
• Second Language Acquisition
• Multicompetence
• +۶ مورد دیگر

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).

Chris Birdمشاهده پروفایل

استاد

• Learning and memory
• Amnesia
• Alzheimer's Disease
• +۴ مورد دیگر

Prof Chris Bird is a Professor of Cognitive Neuroscience at the School of Psychology, University of Sussex , and Director of Sussex Neuroscience since 2021. With a career spanning two decades in memory research, he has held academic roles at UCL and the National Hospital for Neurology and Neurosurgery. ERC Starting Grant (2014-2019) ERC Consolidator Grant (2019-2025) Elizabeth Warrington Prize (British Neuropsychological Society) Elected member, Memory Disorders Research Society His research combines behavioral paradigms and fMRI to explore episodic memory , hippocampal function , and memory breakdown in neurological conditions like Alzheimer's disease. Recent publications focus on APOE genetics , color perception , and neural mechanisms of memory . He supervises the Episodic Memory Group and offers expertise in science communication , public engagement , and consultancy related to memory systems.

Wolfram Wingerathمشاهده پروفایل

پژوهشگر

• Real-Time Databases
• Stream Processing
• NoSQL Data Stores
• +۵ مورد دیگر

Wolfram Wingerath is a Professor for Data Science at the University of Oldenburg (since 2022) and previously served as Head of Data Engineering & Research at Baqend GmbH (2018-2022). He earned his PhD in Computer Science (2019) from the University of Hamburg, focusing on scalable push-based real-time query systems (InvaliDB). His research interests include: Real-time databases and stream processing NoSQL and polystore systems Web performance optimization Probabilistic data management Cloud computing and distributed systems Key publication trends show expertise in real-time data architectures, caching mechanisms, and performance engineering. Notable collaborations include Benjamin Wollmer and Felix Gessert . He has advised 49+ student theses and served on PC committees for ICDE, VLDB, and EDBT. His editorial roles include membership on Datenbank-Spektrum and organizing the BTW 2025 Data Science Challenge .

Matthew W. Crockerمشاهده پروفایل

استاد

• Psycholinguistics
• Computational Linguistics
• Connectionist Language Processing
• +۵ مورد دیگر

Matthew W. Crocker is a Professor of Psycholinguistics at the Department of Language Science and Technology, Saarland University . As Principal Investigator for SFB projects A1 and C3, and Deputy Speaker of SFB 1102, he leads interdisciplinary research on language comprehension mechanisms. His work integrates computational modeling with neuroimaging and eye-tracking to explore how linguistic and non-linguistic context interact. Education: BSc (1986) and MSc (1988) in Computer Science, University of New Brunswick and British Columbia; PhD in Philosophy (1992) from University of Edinburgh's School of Informatics Academic Roles: ESRC Research Fellow (1994-1998); Chair in Psycholinguistics since 2000 at Saarland University Research Interests focus on: Computational Psycholinguistics applying neural networks to language processing Information Theory in linguistic encoding Embodied Cognition through situated comprehension studies ERP Correlates (N400/P600) of integration and retrieval Scientific Contributions : Co-founder of AMLaP conference (1995) Editorial leadership in Frontiers in Language Sciences , Cognition , and Glossa Psycholinguistics 2012 SIGdial Best Paper Award for hearer gaze tracking research Teaching includes courses on Information Theory and Computational Psycholinguistics , with recent 2023 block courses streamed via Zoom and Microsoft Teams. His technical development extends to tools like the GSEARCH Corpus Query System for syntactic structure analysis.

Domagoj Matijevićمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Bioinformatics
• +۵ مورد دیگر

Domagoj Matijević is an Associate Professor at the School of Applied Mathematics and Informatics within Josip Juraj Strossmayer University of Osijek . His academic career spans computational geometry, optimization algorithms, and bioinformatics applications. PhD in Computer Science (Algorithms and Complexity), Max-Planck-Institute for Computer Science, Saarbrücken (2007) MS in Computer Science, Saarland University (2002) BS in Mathematics and Computer Science, University of Osijek (2001) Research interests focus on Machine Learning , Computational Geometry , and Bioinformatics , particularly through software tools like Fortuna for RNA splicing analysis and Trajan for comparing single-cell trajectories. His work bridges theoretical computer science with practical implementations in C++ , Python , and CUDA for high-dimensional data processing. 2023 Best Paper Award at MIPRO's Artificial Intelligence Systems track Key contributor to Neural Network-Based Pollen Prediction and Well-Separated Pair Decomposition implementations Developed Trajan for dynamic pseudotime warping and Fortuna for novel splicing event detection Currently teaches Algorithm Complexity , Computational Geometry , and Embedded Systems . Past projects include NVIDIA-funded GPU implementations and German-Croatian collaborations on kinetic spanners.

Sonja Gipperمشاهده پروفایل

پژوهشگر

• Language Socialization
• Endangered Languages
• Interactional Linguistics
• +۷ مورد دیگر

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 Corinaمشاهده پروفایل

استاد

• Neurolinguistics
• Cognitive Neuroscience
• Signed Language (ASL)
• +۴ مورد دیگر

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.

Carolina Scartonمشاهده پروفایل

مدرس ارشد

• Natural Language Processing
• Machine Translation
• Online Misinformation Detection
• +۶ مورد دیگر

Dr. Carolina Scarton is a Senior Lecturer in Natural Language Processing at the Department of Computer Science, University of Sheffield, UK, and serves as Research Innovation Grant Support Lead. She is an active member of the Natural Language Processing research group and part of the GATE team, with significant contributions to European projects including WeVerify and SIMPATICO. Her educational background includes a PhD in Computer Science from the University of Sheffield (2017), supervised by Professor Lucia Specia and funded by the EXPERT Marie Curie ITN network, along with MSc and BSc degrees from the University of São Paulo, Brazil (awarded 2013), where she was a member of the Interinstitutional Center for Computational Linguistics (NILC). Dr. Scarton's research focuses on Natural Language Processing with particular emphasis on text adaptation, machine translation, online misinformation detection and verification, evaluation of NLP task outputs, NLP applied to healthcare and robotics, and dialog systems. Her work bridges theoretical NLP advances with practical applications in disinformation combat and accessibility. Analysis of her recent publications (2023-2025) reveals strong trends in multilingual misinformation detection, biomedical text simplification, idiomaticity representation, and leveraging large language models for zero-shot tasks. Her research demonstrates consistent focus on real-world applications while advancing core NLP methodologies across multiple domains. Secretary for the European Association for Machine Translation (EAMT) since 2018 (re-elected 2020) Secretary for the International Association for Machine Translation (IAMT) since 2019 Dr. Scarton currently leads as Principal Investigator for the ExU project (€399,926, 2023-2025) and VIGILANT project (Horizon Europe, £476,955, 2022-2025), while serving as Co-PI for vera.ai (Horizon Europe, £776,703, 2022-2025) and Co-I for multiple UKRI and EPSRC grants including XAIvsDisinfo (£288,337) and Modeling Idiomaticity (£446,163). Her research group actively collaborates with the GATE team on NLP tool development and applications.

• Brain-inspired Circuit Design
• Artificial Intelligence Acceleration
• Spiking Neural Networks
• +۳ مورد دیگر

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

• Early Childhood Development
• Cognitive Neuroscience
• Sleep and Memory
• +۵ مورد دیگر

Dr. Manuela Friedrich is a Researcher at the Institute of Psychology within the Faculty of Life Sciences at Humboldt University Berlin. She is based in the Clinical Psychology department, where she conducts groundbreaking research on infant cognitive development, particularly focusing on the interplay between sleep, memory formation, and language acquisition in early childhood. Her work combines neurophysiological methods with developmental psychology to uncover fundamental processes of human cognitive development. Dr. Friedrich's primary research interests center on early language and memory development in infants and young children, with particular emphasis on how sleep influences early childhood memory processes and the interaction between episodic and semantic memory systems. She leads several significant research projects including Sleep-dependent memory consolidation in infants – The influence of language on the nature of transformation during sleep (Baby Sleep III) and Sleep and memory formation in infants and toddlers (Baby Sleep I & II) . Her work has been featured in numerous press releases from prestigious institutions including the Max Planck Society. Analysis of Dr. Friedrich's publication record reveals a consistent focus on infant cognitive neuroscience, with particular attention to how sleep architecture supports memory consolidation and generalization in early development. Her research demonstrates that infant sleep actively reorganizes recent memories, creating semantic knowledge from individual episodic experiences, with sleep spindles playing a crucial role in this process. This work bridges developmental psychology, cognitive neuroscience, and sleep research to provide fundamental insights into early human cognition. Dr. Friedrich has established herself as a leading researcher in infant cognitive development through her numerous publications in high-impact journals including Nature Communications, Current Biology, and Developmental Science. Her research has significantly advanced our understanding of how sleep-dependent processes shape early memory and language development. As a researcher at Humboldt University Berlin's Institute of Psychology, Dr. Friedrich contributes to both basic research and potential clinical applications related to early cognitive development. Her work likely informs broader understanding of developmental trajectories and potential early interventions for cognitive or language-related challenges.

Arnaud Arslangulمشاهده پروفایل

استاد

• Second Language Acquisition
• Chinese Linguistics
• Discourse Analysis
• +۵ مورد دیگر

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.

• Cognitive Neuroscience
• Psycholinguistics
• Psychology of Memory and Learning
• +۲ مورد دیگر

Joost Rommers is a Lecturer in Psychology at the University of Aberdeen , affiliated with the School of Psychology . He actively supervises research and accepts PhD students. Research Focus: Cognitive Neuroscience, Psycholinguistics, and Psychology of Memory and Learning Methodologies: EEG, eye-tracking, behavioral experiments Contact: joost.rommers@abdn.ac.uk His research explores language comprehension and production , predictive processing , and memory mechanisms . Publications highlight neural oscillations, ERP effects, and context-driven speech processing. Recent work investigates how expectations shape recognition memory and the electrophysiological correlates of prediction errors. Laboratory Focus: Combines electrophysiology with behavioral paradigms to study real-time language processing and memory interactions.

Saket Navlakhaمشاهده پروفایل

دانشیار

• Algorithms in nature
• Computational biology
• Machine learning
• +۵ مورد دیگر

Cold Spring Harbor Laboratory (CSHL) Associate Professor Saket Navlakha is a computational biologist working at the intersection of theoretical computer science, machine learning, and systems biology. He leads the Navlakha Lab at CSHL's School of Biological Sciences, where he studies "algorithms in nature" - how biological systems process information and solve computational problems critical for survival. Dr. Navlakha earned his Ph.D. from the University of Maryland College Park in 2011. His research has established important connections between biological computation and computer science algorithms, with publications in top journals including Science, PNAS, and Nature Communications. Navlakha's research focuses on uncovering computational principles in biological systems that can inform both computer science and biological understanding. His lab studies how collections of molecules, cells, and organisms process information to solve problems critical for survival. His work reveals that biological systems often face similar computational challenges as engineered systems , including the need for distributed networks, trade-offs between efficiency and robustness, and the development of low-cost, scalable solutions. This perspective yields two significant outcomes: new biological algorithms for computer science applications and quantitative frameworks to predict biological behavior. Analysis of Navlakha's recent publications shows a strong focus on understanding neural computation across diverse biological systems. His work spans olfactory processing in flies and mice, immune system computation, memory mechanisms, and plant architecture optimization. A consistent theme is how biological systems implement efficient computational strategies that can inspire new algorithms, such as his discovery that fruit fly olfactory circuits implement similarity search using a variant of locality-sensitive hashing. Simons Pivot Fellowship (2024) - for collaboration with Hannah Meyer on immune system computation NSF CAREER Award (2019) Pew Biomedical Scholar (2018) Keynote speaker at NIPS (2016) Dr. Navlakha mentors graduate students in the CSHL School of Biological Sciences and collaborates across disciplines. His 2024 Simons Pivot Fellowship involves exploring how the adaptive immune system, like the brain, solves complex problems common in machine learning. His research has been supported by prestigious grants including the NSF CAREER Award and Pew Biomedical Scholarship, enabling his lab to pursue high-risk, high-reward research at the biology-computation interface. The Navlakha Lab develops computational approaches to understand biological information processing, with applications in machine learning and biological discovery. The lab combines theoretical computer science with experimental neuroscience and biology to uncover fundamental principles of biological computation, working on projects ranging from neural circuit algorithms to plant architecture optimization.