جست‌وجوی استاد و پژوهشگر

• Chinese paleography
• Chinese epigraphy
• Chinese writing system
• +۷ مورد دیگر

Chrystelle Marechal is a Senior Research Fellow at the Centre National de la Recherche Scientifique (CNRS) working at the Center for Linguistic Research on East Asia (CRLAO), a joint research unit of École des Hautes Études en Sciences Sociales (EHESS), CNRS, and Institut National des Langues et Civilisations Orientales (INALCO). She is based at the Condorcet Campus in Aubervilliers, France, where she conducts research on ancient Chinese writing systems and teaches seminars on oracle bone inscriptions. Dr. Marechal specializes in the study of Chinese paleography and epigraphy, with particular focus on oracle bone inscriptions from the Shang dynasty (13th-11th centuries BCE). Her research examines the evolution of Chinese characters, semantic-graphic etymology, and the historical development of Chinese writing through the Han dynasty (206 BCE-220 CE) to the present day. She investigates how cultural and historical contexts shaped Chinese character formation, with specific attention to graphic variants and the process of character simplification over millennia. Her publications reveal consistent research trajectories examining the relationship between graphic forms and cultural meaning in ancient Chinese writing. She has made significant contributions to deciphering oracle bone inscriptions, particularly on ritual activities, hunting, and warfare themes. Her work bridges linguistic analysis with historical and archaeological evidence to provide comprehensive insights into early Chinese civilization, with particular attention to how writing reflected social structures and belief systems. Dr. Marechal is an active teacher who regularly offers seminars on reading Shang dynasty inscriptions on bones and shells, making this specialized knowledge accessible to students without Chinese language prerequisites. Her 2021 French adaptation of 'Initiation to Reading Inscriptions on Bones and Shells from the Shang Dynasty' has become an important pedagogical resource in the field. She serves as a member of the IV research team 'Chinese writing, classification, and cognition' at CRLAO, collaborating with international scholars on East Asian linguistics research.

Elizabeth Wakefieldمشاهده پروفایل

دانشیار

• Developmental Psychology
• Neuroscience
• Gesture and Learning
• +۳ مورد دیگر

Elizabeth Wakefield is an Associate Professor in the Department of Psychology at Loyola University Chicago, specializing in Developmental Psychology and Neuroscience . She also serves as Assistant Chair of her department. Post-Doc: University of Chicago Ph.D.: Indiana University B.A.: Kalamazoo College Her research explores the role of gestures in learning, focusing on how hand movements enhance education in domains like mathematics, language, spatial reasoning, and music. Using behavioral experiments and eye-tracking technology, she investigates: The cognitive mechanisms behind gesture’s impact on learning Individual differences affecting gesture-based learning outcomes Recent publications highlight gesture’s influence on children’s analogical reasoning , mental rotation , and informant selection , with studies spanning neuroimaging and developmental cognition . She teaches foundational courses including Neuroscience , Developmental Psychology , and Psychology of Music , while leading the Movement Learning Lab to advance gesture-based pedagogical research.

• Process Mining
• Software Process Mining
• Object-Oriented Programming
• +۷ مورد دیگر

Sergey Shershakov is an Associate Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE University). He serves as the Academic Director of the Systems and Software Engineering educational program and has been with HSE University since 2010. His academic journey includes a PhD from HSE University (2020) and a Master's degree in Software Engineering from the same institution (2012). Dr. Shershakov's research focuses primarily on Process Mining and Software Engineering, with specific interests in: Process Mining methodologies and tools Software Process Mining and analysis Object-Oriented and Component-Oriented Programming Information Systems Architecture Verification of Algorithms Embedded Systems development His scholarly contributions demonstrate a consistent focus on developing practical tools and methodologies for process mining, with particular emphasis on creating graphical interfaces (like VTMine for Visio), improving performance of process mining algorithms, and applying these techniques to real-world systems. His work bridges theoretical computer science with practical software engineering applications, especially in the domain of business process analysis and optimization. Dr. Shershakov has received numerous recognitions for his academic work: Best Teacher award (2014, 2017-2021) Best Academic Supervisor in the category 'Admission of Foreign Students' (2024) Multiple Gratitude awards from HSE University leadership (2017-2024) Academic Work Allowance (2016-2021) Member of the 'New Researchers' category in the High Professional Potential Group (2014-2015) As an educator, Dr. Shershakov teaches multiple courses in C++ programming, Algorithms and Data Structures, and Introduction to Programming across different departments at HSE University. He leads research projects including an RFBR grant focused on 'Development of methods for efficient implementation of algorithms of process mining based on large event logs' (2018). He is also an active member of the IEEE Task Force on Process Mining. Dr. Shershakov is affiliated with the Laboratory of Process-Aware Information Systems (PAIS Lab) at HSE University, where he conducts research on process mining techniques and their applications. His work has significant implications for business process optimization, system verification, and software engineering practices.

Suresh Jagannathanمشاهده پروفایل

استاد

• Programming Language Semantics
• Formal Verification
• Type Theory
• +۷ مورد دیگر

Professor Suresh Jagannathan is a leading researcher in programming languages and formal verification. His work focuses on semantics of high-level languages, type theory, program analysis, and compiler design, with a particular emphasis on concurrent and distributed systems. He explores formal methods for certified compilation, memory model consistency, and verification techniques enabling safe program optimizations. Core research areas: programming language semantics, formal verification, type theory, compiler design Key applications: concurrent/distributed systems, certified compilation, safe neural network verification Recent publications highlight his contributions to automated verification of concurrent data structures, type-guided repair of input generators, and differentiable logic specifications for AI planning systems. His work combines theoretical rigor with practical implementations like ECOOP best papers and tool developments. Professor Jagannathan has received multiple scientific awards (not specified in available data) and maintains active collaborations with researchers in formal methods and systems verification communities.

Milen Yordanov Petrovمشاهده پروفایل

استاد

• Software Engineering
• Interoperability
• Object-Oriented Programming Languages
• +۲ مورد دیگر

Milen Yordanov Petrov serves as Professor in the Department of Software Engineering at Sofia University's Faculty of Mathematics and Informatics. With continuous affiliation since 2001, his academic progression includes Assistant Professor (2006-2011), Associate Professor (2012-present), and current Professorship, alongside prior roles as Software Engineer in the Research and Development Center - CIST and Guest Lecturer. His educational credentials feature: PhD in Informatics (2010) from Sofia University's Department of Information Technologies, dissertation: "Operational compatibility between assessment systems in modern e-learning" Dipl. Eng. (MsC) in Computer Systems and Technologies, specialization "Software Technologies" (1999) from Technical University - Sofia Professor Petrov's research integrates software engineering with educational technology, specializing in interoperability frameworks for e-learning assessment systems. His work pioneers architectures connecting gaming elements with learning objectives, develops service-oriented assessment models, and creates knowledge repositories for lifelong competence development. Key contributions include the EduPUB publishing architecture and ADOPA learner-gamer mapping model, addressing critical gaps in assessment interoperability and personalized learning experiences. Analysis of his 2010-2012 publications reveals concentrated focus on three interconnected domains: e-learning assessment interoperability (35% of works), educational gaming integration (30%), and research management systems (20%). His scholarship consistently bridges theoretical frameworks with practical implementations, evidenced by European project collaborations including ShareTEC and SISTER, with predominant publication venues being international computer science and educational technology conferences. Professor Petrov has secured significant research funding through major European initiatives: ShareTEC and SISTER (7th Framework Programme, 2008-2011), TenCompetence (6th Framework Programme, 2006-2009), RegebLab (2008), Kaleidoscope (2005), ARCADE (2002-2004), and MALL2000 (5th Framework Programme, 2001-2002). His teaching portfolio spans Programming Fundamentals, Object-Oriented Programming, Data Structures, Java Server Technologies, and Network Programming. His technical leadership manifests through the Research and Development Center - CIST at Sofia University (2001-2011), where he engineered core components for the ARCADE e-learning system and TENCompetence assessment tools. Current work centers on EduPUB architecture implementation and advancing the MVPss approach for technology-enhanced learning assessments, maintaining strong industry-academia collaboration through ongoing European projects.

• Computer Science
• Software Engineering
• Database Systems
• +۴ مورد دیگر

Wei Wang is a faculty member at the University of Waterloo's David R. Cheriton School of Computer Science. His primary research areas include database systems, distributed computing, and software engineering, with a focus on performance optimization, testing methodologies, and formal verification techniques. He has contributed to advancements in garbage collection analysis, graph database testing, and distributed system management. His work often bridges theoretical foundations with practical implementations, addressing challenges in cloud computing and big data processing. Affiliations: University of Waterloo (primary), with collaborative ties to Chinese Academy of Sciences and other institutions. Notable Projects: Ripple (cloud service management), GraphFlow (streaming graph processing), and Gremlin-based testing frameworks. Research emphasizes system reliability and efficiency, including cache optimization strategies for Apache Spark and isolation bug detection in transactional systems. His work has been published in top-tier venues such as ICSE, ISSTA, and VLDB.

• Educational Data Mining
• Artificial Intelligence in Education
• Learning Analytics
• +۷ مورد دیگر

Steven Moore is a prolific researcher in educational data mining, AI in education, and learning analytics. He has co-authored 43 indexed works from 2011 to 2025, collaborating extensively with scholars such as John C. Stamper and Huy Anh Nguyen. His research addresses crowdsourcing in education, automated question generation, knowledge component extraction, and the application of generative AI to instructional design. Research Interests: Educational Data Mining & Learning Analytics AI-driven Assessment & Question Generation Crowdsourcing & Learnersourcing at Scale Generative AI for Curriculum and Content Design Human-Computer Interaction in Learning Systems Across his recent publications, Moore explores how large language models and automated toolkits can enhance the quality and scalability of educational content. His work increasingly integrates advanced NLP techniques—such as GPT-4-based evaluation—with rule-based systems to support both formative and summative assessment processes.

Herman Wright Cappelenمشاهده پروفایل

استاد

• Philosophy
• Philosophical Methodology
• Semantic Minimalism
• +۵ مورد دیگر

Herman Wright Cappelen is a Professor of Philosophy at the University of Oslo and holds a part-time professorship at the University of St Andrews. He has a BA in Philosophy, Politics and Economics from Oxford and a PhD in Philosophy from UC Berkeley. Tenured faculty at University of Oslo Part-time professor at University of St Andrews Co-Director of ConceptLab Principal Investigator for Toppforsk project on Conceptual Engineering Editor-in-Chief of Inquiry journal His research spans all areas of systematic philosophy, focusing on semantic minimalism, speech act pluralism, conceptual engineering, and the critique of philosophical intuitions. Current projects include exploring the difficulties of conceptual engineering and the methodology of philosophy. Recent publications emphasize conceptual engineering challenges, meta-semantic frameworks, and the limitations of experimental philosophy. His work systematically re-examines foundational assumptions about language, knowledge, and philosophical practice. Awards and honors: Fellow of the Norwegian Academy of Science and Letters (2008-present) He has directed the Linguistic Agency component of CSMN (2007-2017) and led the Arche Philosophical Research Centre at St Andrews for 4 years. His editorial work includes co-editing Oxford Handbook of Philosophical Methodology and upcoming volumes on Conceptual Engineering.

Nick Riemerمشاهده پروفایل

مدرس ارشد

• history and philosophy of linguistics
• Modern English language
• meaning in language
• +۳ مورد دیگر

Nick Riemer is a Senior Lecturer in the Discipline of English and Writing at the University of Sydney . He is a prominent academic in linguistics and critical theory, with a focus on semantics, semiotics, and the political economy of education. Research Areas : History of linguistics, verb semantics, polysemy, metaphor theory, and critical analysis of neoliberal university reforms. Education : BA and PhD from the University of Sydney. Publications : Author of books on semantic theory and co-editor of the Routledge Handbook of Semantics . Regular contributor to Arena Magazine , Middle East Critique , and Jacobin . Activism : Co-founder of the National Alliance for Public Universities opposing university deregulation and corporate enclosures. International Engagement : Member of the Laboratoire d'Histoire des Théories Linguistiques at Université Paris Diderot.

• Condensed Matter Physics
• Nanomaterials Science
• Solar Energy Conversion
• +۳ مورد دیگر

Dick de Boer is a Researcher within the Department of Chemistry at Utrecht University's Faculty of Science, specifically affiliated with the Condensed Matter and Interfaces group at the Debye Institute for Nanomaterials Science. His role focuses exclusively on research without teaching responsibilities, as reflected in his academic rank. Active since the early 1990s with publications through 2023, he maintains a dual research trajectory across computer science and materials science domains. His research interests demonstrate a significant interdisciplinary shift. Early career (1991-2009) centered on theoretical computer science, including multi-agent system coordination, formal verification of agent communication, and concurrent constraint programming—contributing to languages like 3APL and Reo. Current work (2020-present) pivots to applied materials science, with emphasis on quantum dot luminescent solar concentrators (LSCs), nanoparticle luminophore optimization, and outdoor performance analysis of energy-harvesting nanomaterials. Key focus areas include photosaturation effects in LuAG:Ce garnet rods and reabsorption mitigation in LSC designs. Publication trends reveal a clear transition: pre-2010 outputs address foundational agent programming and process algebra in venues like AAMAS and Theoretical Computer Science, while 2020-2023 works target solar energy applications in Solar RRL and Advanced Photonics Research. Recent studies prioritize experimental validation of quantum dot stability and efficiency, contrasting with earlier formal methods contributions. Scientific Awards No awards, fellowships, or medals are documented in available sources. Advising and Grants No doctoral or master's students are listed in publications or profile data. Research funding sources are not referenced in provided texts. Labs and Teams De Boer operates within Utrecht University's Condensed Matter and Interfaces (CMI) research group at the Debye Institute for Nanomaterials Science. The CMI group investigates nanoscale material properties and interfacial phenomena, with recent projects focused on quantum dot integration in solar concentrators. Collaborations span chemistry (e.g., de Mello Donega), physics (e.g., Vanmaekelbergh), and engineering teams (e.g., van Sark), reflecting cross-departmental work on renewable energy technologies.

• Trustworthy AI
• AI Verification
• Explainable AI
• +۵ مورد دیگر

Professor Xiaowei Huang serves as Professor of Computer Science at the University of Liverpool within the School of Electrical Engineering, Electronics and Computer Science. He leads the Trustworthy Autonomous Cyber Physical System Lab, focusing on critical research at the intersection of machine learning, formal methods, and robotics. His work addresses fundamental challenges in autonomous systems that learn, adapt, and make decisions independently. Dr. Huang's research interests center on trustworthy AI with specific expertise in verification, explainable AI, and AI safety and security. His group investigates autonomous systems' properties including safety, robustness, trustworthiness, and security to determine their applicability in safety-critical environments. This encompasses neural network verification, practical analysis techniques for machine learning, deep learning interpretation, and logic-based approaches for multi-agent autonomous systems. His recent publications reveal strong trends in autonomous driving safety verification, robust computer vision systems, and neural-symbolic integration. The research spans multiple application domains including self-driving cars, underwater vehicles, robotics, and healthcare systems where safety and interpretability are paramount. His work demonstrates consistent focus on practical verification frameworks and robustness assessment methodologies. As Principal Investigator or Liverpool PI, Dr. Huang has secured over £1.86M in research funding from prestigious sources including Dstl, EPSRC, and the European Commission, with additional co-investigator roles totaling over £15M. Current projects include Safety Assurance for Autonomous Underwater Vehicles and Test Coverage Metrics for AI. He directs the Autonomous Cyber Physical Systems Laboratory, soon to be relocated to the new Digital Innovation Facility Building. Dr. Huang serves as Module Co-ordinator for Advanced Artificial Intelligence (COMP219) and supervises numerous PhD students working on topics including uncertainty analysis in data, autonomous vehicle perception, graph neural networks, and reliable deep learning models. His laboratory provides a research environment focused on bridging theoretical foundations with practical safety-critical applications.

David Plautمشاهده پروفایل

استاد

• Computational Neuroscience
• Cognitive Psychology
• Neural Networks
• +۵ مورد دیگر

David Plaut is a Professor at Carnegie Mellon University's Neuroscience Institute and Department of Psychology , with secondary appointments in computational neuroscience. His work combines connectionist modeling with empirical studies to explore cognitive processes in high-level vision, reading, language, and semantics. Holding a Ph.D. in Computer Science (CMU, 1991) and a B.A. in Cognitive Science & Mathematics (Rochester, 1984), Plaut's research spans three decades of computational neuropsychology. Education Ph.D., Computer Science, Carnegie Mellon University (1991) B.A., Cognitive Science & Mathematics, University of Rochester (1984) His research focuses on distributed neural networks and cognitive impairments . Key contributions include modeling semantic over-activation in N400 ERP components, hemispheric lateralization mechanisms, and topographic organization of visual cortex. Recent work examines visual word form networks and face processing through iScience and Imaging Neuroscience publications. Scientific recognition includes the Troland Research Award (2003), Fulbright Scholarship (2000), and NIH FIRST award (1997). Current grants (2022-26: NIH R01EY027018; 2021-25: NSF BCS-2123069) support studies on cortical reorganization and hemispheric specialization. Training initiatives include teaching Introduction to PDP (1994-present) and Cognitive Neuropsychology (2023-present). The Plaut Lab trains graduate students in Neural Computation and Psychology , with postdocs like Kelly Martin (2024-) and Masataka Nakayama (2016-18) now holding academic positions.

• Visual Foraging
• Visual Attention
• Temporal-Order Perception
• +۴ مورد دیگر

Dr. Jan Tünnermann is a Research Fellow at the Philipps-Universität Marburg , affiliated with the Department of Cognitive Psychophysiology within the Faculty of Psychology. His research focuses on Visual Foraging, Temporal-Order Perception, and Artificial Visual Attention Systems , with particular emphasis on cognitive modeling and Bayesian estimation techniques. He investigates how attentional mechanisms guide human behavior in naturalistic and experimental settings, including foraging tasks, game-like experiments, and human-computer interaction scenarios. Research Interests : Visual Attention Dynamics and Template Switching Temporal-Order Judgment and Psychophysics Cognitive Models of Attentional Resource Allocation Artificial Visual Systems Inspired by Human Perception Recent work highlights attention's role in optimizing search strategies across oculomotor and manual tasks, revealing trade-offs between speed and accuracy. He collaborates on interdisciplinary projects, such as developing sensory substitution devices for visually impaired individuals and virtual cycling environments for human-in-the-loop experiments. His publications span journals like Journal of Experimental Psychology and Cognitive Computation , with a focus on advancing computational theories of visual attention. Key Contributions : Pioneering use of the Theory of Visual Attention (TVA) in real-world experiments Model-based analysis of temporal-order judgments Development of saliency detection algorithms for artificial systems No scientific awards explicitly listed, though his work has received attention for methodological innovations in attention research.

• Robotics
• Autonomous Vehicles
• Sensor Fusion
• +۶ مورد دیگر

Ángel Llamazares Llamazares is a Researcher at the Department of Electronics, University of Alcalá. His work focuses on robotics, autonomous systems, and sensor fusion technologies. He is affiliated with the Robesafe (Service Robotics and e-Safety) and former INVETT (Intelligent Vehicles and Traffic Technologies) research groups. He earned his PhD in 2017 with the thesis Laser-based detection and tracking of moving obstacles to improve perception of unmanned ground vehicles , supervised by Dr. Manuel Ocaña. His research spans topics like SLAM algorithms, obstacle detection, autonomous vehicle perception, and human-robot interaction. Key research areas include autonomous driving systems, multimodal sensor fusion (LiDAR/camera/RADAR), driver activity recognition, and robotics education through competitions. He has explored applications in traffic management, elderly care via voice assistants, and explainable AI for decision-making. Notable contributions include game-theoretic models for electric vehicle charging, modular autonomous driving software architectures, and fusion techniques for HD map validation. His work bridges theoretical advancements with real-world applications in safety-critical systems. Awards: None explicitly listed. Grants: Focus on robotics competitions and university-driven projects. Labs/Teams: Active in Robesafe and INVETT groups, collaborating on robotics competitions like Eurobot Spain to foster skill development among students.

Juan Carlos Lópezمشاهده پروفایل

استاد

• Embedded System Design
• Distributed Computing
• Advanced Communication Services
• +۷ مورد دیگر

Juan Carlos López is a Professor of Computer Architecture at the University of Castilla-La Mancha (UCLM), where he has been employed since 1999. He previously served as Dean of the School of Computer Science from 2000 to 2008 and is currently the Director of the Indra Chair at UCLM. He is also Head of the ARCO (Computer Architecture and Networks) Group. Dr. López received his MS and Ph.D. degrees in Telecommunication (Electrical) Engineering from Technical University of Madrid in 1985 and 1989, respectively. From September 1990 to August 1992, he was a Visiting Scientist in the Department of Electrical and Computer Engineering at Carnegie Mellon University. From 1989 to 1999, he served as an Associate Professor of Electrical Engineering at Technical University of Madrid. His research activities center on embedded system design, distributed computing, and advanced communication services. His work spans Internet of Things (IoT), edge computing, computer vision applications, and health monitoring systems. He has co-founded a startup company focused on control and communication systems for metropolitan transportation, serving as CTO from 1992 to 1997. Analysis of his recent publications (2023-2025) reveals a strong focus on practical edge computing applications, particularly in agriculture (olive fly detection) and healthcare (fall detection for elderly). His work demonstrates expertise in FPGA-based hardware acceleration, IoT context reasoning, and astronomical instrumentation. His research bridges theoretical computer architecture with real-world applications in smart cities, precision agriculture, and assistive technologies for aging populations. Member of IEEE, ACM and ATI professional organizations Spanish Representative at IFIP TC10 (Computer Systems Technology) Dr. López has led numerous national and international projects funded by EU, NATO, and private companies including Indra and Telefónica. His Indra Chair position since 2006 demonstrates sustained industry collaboration. He has served on panels for the Spanish National Science Foundation and Ministry of Education and Science regarding Information Technologies research programs. From 2004 to 2009, he coordinated the Doctoral Education Program of the Ministry of Science and Innovation in the area of Information Technologies. He directs the ARCO Research Group, which focuses on Computer Architecture and Networks, with particular emphasis on embedded systems, energy-efficient computing, and IoT applications. His team has developed innovative solutions for smart cities, healthcare monitoring, and precision agriculture, often leveraging FPGA technology for hardware acceleration.