Find Academic Supervisors

Lester LoschkyView profile

Professor

• Visual Cognition
• Attention and Eye Movement Tracking
• Cognitive Psychology
• +6 more

Lester Loschky is a full Professor in the Department of Psychological Sciences at Kansas State University's College of Arts and Sciences. His Visual Cognition Laboratory conducts interdisciplinary research combining visual perception studies with machine learning applications, supported by National Science Foundation and Office of Naval Research grants. Current NSF-funded focus on attention measurement in online learning Pioneering work in Scene Perception & Event Comprehension Theory (SPECT) Global collaborations with psychologists, computer scientists, and STEM educators Active graduate student mentorship with 5-year funding packages available His research explores how attention shapes awareness through eye movement tracking in natural scenes, integrating AI methodologies for attention modeling. Key subfields include scene gist recognition, event segmentation, and cognitive load theory applications in educational contexts. Students gain comprehensive research experience from experimental design to publication, with former students holding positions at Washington University, University of Colorado Denver, and U.S. Coast Guard Research. His lab offers both basic science and applied research opportunities with real-world implications in education and human factors.

Alessia IuratoView profile

Research Fellow

• Chinese Linguistics
• Second Language Acquisition
• Corpus Linguistics
• +7 more

Alessia Iurato is a Research Fellow and Adjunct Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice. She holds a cotutelle PhD from Ca' Foscari University and the University of Bremen, focusing on the acquisition of Chinese syntactic structures by Italian learners. Her current research is centered on the PRIN 2020 national project on Chinese resultative verbal complexes, combining corpus and experimental methods. Research Interests: Her work lies at the intersection of Chinese linguistics, second language acquisition, and corpus-based methodologies. She specializes in the acquisition of syntactic constructions such as shì...de clefts and resultative verb compounds, integrating pragmatic and grammatical analysis. Her methodological expertise includes learner corpus compilation, error and pragmatic annotation, and experimental task design. Publication Trends: Her recent publications (2023–2025) reflect a strong focus on constructing and analyzing learner corpora (e.g., BILCC), investigating specific syntactic phenomena in L2 Chinese, and evaluating pedagogical materials. The work consistently employs triangulated methodologies, combining corpus data with experimental findings to understand L2 acquisition processes. Scientific Awards: Winner of the 2022 Hawai'i International Conference on Chinese Studies (HICCS) graduate student award 3-year PhD full merit scholarship (2019–2022) 1-year MA full merit scholarship (2015–2016) Winner of the First Competition of Teaching Chinese to Speakers of Other Languages, Capital Normal University (2016) Overseas Scholarship (Merit Scholarship), Ca' Foscari University of Venice (2014) Advising and Academic Service: She has co-supervised MA theses in Chinese linguistics and language studies. Her service includes refereeing for journals like Corpus Linguistics and Linguistic Theory and Chinese as a Second Language Research , abstract reviewing for international conferences, organizing the 2025 IACL conference, serving on the editorial board of the Journal of Chinese Language Education and Evaluation , and holding an executive board position in the CASLAR association. Labs and Research Groups: She is an active member of the PRIN 2020 research project unit on Chinese resultative verbal complexes, led by Prof. Bianca Basciano. Her work is closely associated with learner corpus research initiatives and international collaborations in Chinese linguistics.

Hao XingView profile

Researcher

• Robot Vision
• Human Action Recognition
• Human-Object Interaction Recognition
• +4 more

Hao Xing is a scientific researcher and post-doctoral fellow at the Institute for Cognitive Systems (ICS), Technical University of Munich (TUM), working with Prof. Gordon Cheng since May 2024. Previously, he served as a research assistant at the Munich Institute of Robotics and Machine Intelligence (MIRMI) and completed his PhD under Prof. Darius Burschka from 2019. His educational background includes: Master of Science in Mechanical Engineering from Technical University of Munich Bachelor of Engineering in Mechanical Engineering from Hefei University of Technology, China Xing's research focuses on Robot Vision , Human Action Recognition , and Graph Convolutional Networks , with significant contributions to Human-Object Interaction Recognition , Scene Understanding , and Visual Depth Estimation . His work leverages machine learning to develop robust algorithms for human activity analysis and robotic perception, emphasizing spatio-temporal modeling and uncertainty handling in real-world scenarios. Analysis of his 13 recent publications (2019-2025) reveals a dominant focus on graph-based approaches for action recognition and segmentation, with increasing emphasis on open-world applications, uncertainty modeling, and healthcare integration. His research spans computer vision, robotics, and medical applications, demonstrating strong interdisciplinary impact through collaborations in surgical robotics and patient monitoring systems. Xing actively mentors students through master's thesis projects in Stereo Matching, Human Activity Segmentation, and Monocular Depth Estimation, requiring expertise in deep learning frameworks and computer vision algorithms. While no major grants are explicitly mentioned, his thesis topics indicate active research funding in geometric vision and human activity analysis. He operates within the Institute for Cognitive Systems (ICS) at TUM, a key unit in MIRMI's robotics ecosystem focused on advancing human-robot interaction through vision-based scene understanding and motion generation capabilities.

Monique FleckenView profile

Assistant Professor

• Linguistics
• Cognitive Science
• Neurolinguistics
• +5 more

Dr. Monique Flecken is an Assistant Professor in the Department of Linguistics at the University of Amsterdam, specializing in neurolinguistics and multilingualism. Her research investigates how language shapes event perception, focusing on dynamic situations like motion events and cross-linguistic cognitive differences. Current affiliation: University of Amsterdam, Faculty of Humanities Prior role: Senior Researcher at Max Planck Institute for Psycholinguistics Her work explores the interplay between linguistic structures (e.g., grammatical aspect, verb semantics) and cognitive processes such as perception, memory, and attention. Methodologies include ERP studies, eye-tracking, and virtual reality experiments. Notably, she examines how languages with varying grammatical systems (e.g., Dutch, Turkish, Persian) influence event conceptualization. Recent publications highlight her research trends, including language-specific effects on motion perception, the role of syntax in telicity judgments, and neural mechanisms underlying linguistic influence on cognition. She actively engages with interdisciplinary approaches, bridging linguistics and cognitive science.

• High Resolution Magnetic Resonance Imaging
• Quantitative Cardiovascular MRI
• Cardiac Magnetic Resonance Fingerprinting
• +2 more

Daniel Herzka is an Associate Professor at the Department of Radiology , School of Medicine , Case Western Reserve University . His research focuses on high-resolution magnetic resonance imaging , quantitative cardiovascular MRI , and cardiac magnetic resonance fingerprinting . Herzka develops innovative MRI techniques for in vivo neurography and cardiovascular applications , including interventional MRI and low-field MRI systems . Doctor of Philosophy in Biomedical Engineering, Johns Hopkins University School of Medicine (2004) Master of Engineering in Biomedical Engineering, Johns Hopkins University (1999) Professional affiliations include membership in the International Society for Magnetic Resonance in Medicine (ISMRM), Society for Cardiovascular Magnetic Resonance Imaging (SCMR), Medical Image Computing and Computer Assisted Intervention Society , and American Heart Association (AHA). Herzka's research has produced significant publications in Magnetic Resonance in Medicine , Journal of Cardiovascular Magnetic Resonance , and Radiology , primarily focusing on cardiac imaging , low-field MRI , and interventional radiology . His recent work explores accelerated T2 mapping , low-rank reconstruction , and cardiac interventional devices . Herzka's scientific contributions span MRI physics , sequence optimization , and clinical translation of imaging technologies . Key collaborators include researchers from National Institutes of Health , Johns Hopkins University , and University Hospital Bonn . Developed real-time free-breathing cardiac imaging with self-calibrated radial GRAPPA Innovated sorted Golden-step phase encoding for self-gated cine MRI Created analytical polyhedral MRI phantoms for imaging validation

Kun QianView profile

Assistant Professor

• Wireless Networking
• Smart Sensing and Intelligent Systems
• Mobile Computing
• +3 more

Kun Qian is an Assistant Professor in the Department of Computer Science at the University of Virginia , affiliated with the Link Lab and WINK (Wireless Intelligence & NetworKing) Lab . His research focuses on ambient intelligence and ubiquitous connectivity through wireless technologies. Ph.D., Tsinghua University (2019) B.E., Tsinghua University (2014) His work spans wireless networking , smart sensing , and mobile computing , with applications in next-generation communication , IoT sensing , and autonomous driving . Recent publications highlight advancements in millimeter-wave coverage expansion , wireless spoofing detection , and visual-RF fusion for channel modeling. Notable awards include the SenSys Best Paper Award (2023) and MobiCom Best Paper Award (2020) . He leads courses like CS4501: Wireless for the Internet of Things and mentors PhD students Shunqiang Feng and Mohan Zhao .

Armando Espindola CarmonaView profile

Research Fellow

• Geophysics
• Seismic Tomography
• Waveform Inversion
• +3 more

Armando Espindola Carmona is a Research Fellow at Princeton University , currently serving as a Postdoctoral Research Associate in the Theoretical & Computational Seismology and Global Geophysics groups. His work focuses on seismic tomography, numerical simulations of wave propagation, and waveform inversion. He is affiliated with Guyot Hall, where he can be reached at office 314 via phone (609-258-3933) or email. Education: Ph.D. in Earth Science and Engineering from King Abdullah University of Science and Technology (KAUST) M.S. in Geophysics from Universidad Nacional Autónoma de México (UNAM) B.E. in Geophysics from UNAM Research Interests: Full-Waveform Inversion (FWI) techniques, particularly anelastic FWI with source encoding 3-D seismic wave propagation models Global and regional-scale seismic tomography Marine seismic data analysis with multicomponent ocean-bottom-node systems Trade-off analysis in inversion methodologies His recent work addresses critical challenges in crustal and mantle structure imaging, including the Red Sea's Zabargad Fracture Zone and the Arabian plate. He also investigates earthquake mechanisms, such as the 2023 Kahramanmaraş-Syria seismic events. Publications: His articles emphasize anelastic FWI, marine acquisition strategies, and earthquake dynamics. Key themes include optimizing global FWI workflows, analyzing inversion resolution, and applying adjoint tomography to volcanic complexes like Colima. Grants/Advising: No information on grants, advising, or mentorship roles is explicitly provided in the text. Labs/Teams: Engages with the Theoretical & Computational Seismology and Global Geophysics groups at Princeton, focusing on computational seismology and field deployments like the Red Sea Ocean Bottom Seismometer network.

Marianne GullbergView profile

Professor

• Second Language Acquisition
• Bilingualism
• Language Processing
• +3 more

Marianne Gullberg is a Professor of Psycholinguistics at Lund University, where she serves as Director of the Lund University Humanities Lab and Director of Huminfra , Sweden's national infrastructure for humanities research. She leads the research programs TEAM (Transdisciplinary Approaches to Learning, Acquisition, Multilingualism) and LAMiNATE (Language Acquisition, Multilingualism, and Teaching) , and previously co-founded the Nijmegen Gesture Centre at the Max Planck Institute for Psycholinguistics. Research Focus : Adult second language acquisition, bilingual processing, gesture production/comprehension, and multimodal communication. Leadership : President of the International Society for Gesture Studies , Vice-president of the European Second Language Association (2000-2007), and active in national and international academic societies. Honors : 2019: European Second Language Association Distinguished Scholar Award 2019: Swenson Prize in Humanities 2014: Rausing Prize in Humanities 2013: Wallenberg Scholar 2010: Lars & Eva Gårding’s Prize in Linguistics Multiple academy memberships including Academia Europaea and Royal Swedish Academy of Sciences Editorial Roles : Editor/Associate Editor for Language Learning , Frontiers in Psychology: Language Sciences , Gesture , and others.

Marc Van HulleView profile

Professor

• Computational Neuroscience
• Brain-Computer Interfacing
• Artificial Intelligence
• +4 more

Marc Van Hulle is a full Professor at the Laboratory for Neuro- and Psychophysiology , KU Leuven Faculty of Medicine, Department of Neurosciences. He serves as promotor for multiple long-term projects (2022-2028) at the intersection of biomedical engineering and neuroscience, including Alzheimer's early detection, Parkinson's brainstem-basal ganglia interactions, and advanced brain-computer interfaces (BCIs). His affiliations include the KU Leuven Brain Institute (LBI) and Leuven.AI artificial intelligence institute. Research Focus: Specializing in computational neuroscience, Marc Van Hulle pioneers innovative BCI systems, neurophysiological modeling, and biomedical signal processing. His work spans cognitive modeling, neural network analysis, and translational applications for neurological disorders through advanced signal decoding techniques. Publication Trends: Recent articles emphasize decoding speech and motor activities from brain signals (ECoG/EEG), Alzheimer's detection via graph network analysis, and VR-integrated SSVEP systems. Key methodologies include tensor regression, multiway modeling, and phase synchrony analysis, with consistent application of AI to biomedical challenges. Academic Contributions: He supervises multiple researchers including Aurelie de Borman, Axel Faes, and Qiang Sun. His projects as promotor include European Doctoral Network for Neural Prostheses , Adaptive multistate decoding , and Decoding imagined speech , demonstrating sustained leadership in neurotechnology research. Laboratory Context: The Laboratory for Neuro- and Psychophysiology includes PhD members working on neural computing and BCI systems, with former members having completed significant contributions in similar domains.

Anna LambrechtsView profile

Lecturer

• Autism Spectrum Disorders (ASD)
• Temporal Dynamics of Behavior
• Communication
• +5 more

Anna Lambrechts is a cognitive neuroscientist at City, University of London specializing in autism spectrum disorders (ASD) and temporal dynamics of behavior. She holds a PhD from City, University of London (2019) and advanced degrees from École Normale Supérieure in Paris, including an MSc in Cognitive Neuroscience and BSc in Biology. Her research focuses on time perception, communication challenges in ASD, and learning/reward processing in individuals with complex needs. Key areas include: Temporal aspects of social interaction Memory mechanisms in ASD Adaptive behavior during crisis Forensic interview techniques for autistic witnesses Her work employs electrophysiological methods (EEG/ERP), eye-tracking, and behavioral experiments. Recent studies explore how pandemic disruptions affect autistic populations and neurophysiological markers of associative memory. Proficiency includes bilinguality (English/French) with expertise in academic peer review. Active in cross-disciplinary collaborations involving dance movement analysis and forensic psychology innovations.

Birgit HellwigView profile

Professor

• Language Documentation
• Language Acquisition
• Anthropological Linguistics
• +3 more

Prof. Birgit Hellwig is a Professor in the Department of Linguistics at the University of Cologne, specializing in language documentation, child language acquisition, and anthropological linguistics. Her research focuses on understudied languages such as Qaqet (Papua New Guinea), Tabaq (Sudan), and Goemai (Nigeria). She holds the Lichtenberg Professorship since 2014, funded by the Volkswagen Foundation. Her work integrates fieldwork, corpus linguistics, and cross-linguistic comparison to address issues in language endangerment, acquisition, and typology. Educational Background: PhD (Linguistics) 2003: Max Planck Institute for Psycholinguistics & Radboud University Nijmegen M.A. (African Linguistics) 1998: Universität Hamburg Research Interests: Language documentation and revitalization Child language acquisition in multilingual contexts Semantic typology of motion events Language contact in West Chadic and Nilo-Saharan languages Corpus-driven linguistic analysis Key Projects: "Documenting child language: The Qaqet Baining of Papua New Guinea" (longitudinal corpus) "The Acquisition Sketch Project" (cross-linguistic documentation framework) Documentation of Tabaq (Nubian) and Katla (Kordofanian) Grants and Funding: Lichtenberg Professorship (2014–present) ARC Discovery Grant for Qaqet language documentation Labs/Teams: Leading the Cologne Language Documentation Group Collaborator in the Language Documentation Reference Corpus (DoReCo)

Elisabetta ChiccaView profile

Professor

• Neuromorphic Engineering
• Spiking Neural Networks
• Memristive Systems
• +6 more

Elisabetta Chicca is a Professor of Bio-Inspired Circuits and Systems at the University of Groningen's Faculty of Science and Engineering. Her work bridges neuromorphic engineering, spiking neural networks, and bio-inspired sensing. University: University of Groningen Department: Bio-Inspired Circuits and Systems Email: e.chicca@rug.nl Research Interests: Focus on developing CMOS models of cortical circuits for brain-inspired computation, combining spiking neural networks with memristive systems. Key areas include bio-inspired vision, olfaction, touch, and motor control to create agents that operate in real-world environments. Recent Article Trends: Explore neuromorphic processors with hybrid CMOS-memristor architectures, event-based vision for motion detection, tactile sensing in robotics, and benchmarking frameworks for neuromorphic algorithms. Scientific Contributions: She co-founded the Neuromorphic Computing and Engineering journal and serves on its Executive Editorial Board. Her team has received EU Horizon 2020, NWO, and DFG grants.

• Linguistics
• Linguistic Typology
• Motion Events Encoding
• +3 more

Alfonsina Buoniconto is a Researcher in the Department of Humanities at the University of Salerno, Italy. Her academic work primarily focuses on linguistic typology, motion events encoding, and educational linguistics. She maintains regular reception hours on Wednesdays from 12:00-14:00 at the Fisciano Campus, Building D3, Third Floor, Room 015. Dr. Buoniconto's research interests center around linguistic typology, particularly the encoding of motion events in Romance languages. Her work investigates the continuum between verb-framed and satellite-framed languages, with special attention to boundary-crossing events and covert encoding strategies. Her research employs corpus-based methods, diachronic analysis, and cognitive linguistics frameworks to examine how languages express motion phenomena. She has developed the Modeg (Motion Decoding Grid) annotation tool for motion event analysis and has conducted comparative studies between English and Italian, as well as Ancient Greek and Latin. Her recent publications reveal a strong focus on motion events encoding across Romance languages, with particular attention to Italian. The research shows consistent patterns in how Romance languages handle boundary-crossing events, often displaying hybrid characteristics between verb-framed and satellite-framed typologies. Her work also extends to educational applications, particularly in teaching linguistic cohesion to improve reading comprehension among secondary school students. Dr. Buoniconto has collaborated with researchers across Italy on educational projects like LeCo (Leggere e Comprendere), which focuses on enhancing reading and text comprehension skills for high school students in Salerno and Avellino provinces. Her research bridges theoretical linguistics with practical educational applications.

Jonathan F. KominskyView profile

Assistant Professor

• Cognitive Science
• Developmental Psychology
• Vision Science
• +3 more

Jonathan F. Kominsky is an Assistant Professor of Cognitive Science at Central European University in Vienna, serving as Principal Investigator (PI) of the Causal Cognition Lab and co-PI of the CEU Cognitive Development Center. His research focuses on understanding how the mind represents causal relationships and employs tools from vision science, cognitive psychology, and developmental psychology to explore causal perception and its development. He created PyHab , an open-source system for infant gaze coding and stimulus presentation, enhancing reproducibility in developmental studies. Education: Ph.D. in Developmental Psychology from Yale University (2016). Research Interests: Causal perception, counterfactual reasoning, causal representations in infancy, and the interplay between causality and memory. His work bridges perceptual and cognitive mechanisms, examining how causal judgments form and influence decision-making and social evaluation. Labs/Teams: Leads the Causal Cognition Lab and collaborates with the CEU Cognitive Development Center. His projects emphasize methodological rigor and interdisciplinary approaches to developmental research.

Ibarretxe-Antuñano IraideView profile

Professor

• Typology
• Contrastive Linguistics
• Germanic Languages
• +6 more

Iraide Ibarretxe-Antuñano is a Full Professor of General Linguistics at the University of Zaragoza's Department of Linguistics and Hispanic Literatures, and a researcher at the Institute of Heritage and Humanities (PSYLEX). She holds a Ph.D. in Linguistics from the University of Edinburgh (2000) and a degree in English Philology from Deusto University (1995). Her career includes post-doctoral research at UC Berkeley (1999–2001) and visiting professorships at institutions worldwide. Her research focuses on cognitive linguistics, semantic typology, and the interplay between language, culture, and cognition. Key areas include sound symbolism, metaphor embodiment, and the cognitive foundations of language structure. Current leadership roles include PI of the MultiMetAR and MOTIV research projects, exploring multimodal metaphor and language processing. Awarded the 2020 Rafael Monroy Research Award, she serves on editorial boards of journals like Cognitive Linguistics and holds advisory roles in Spain’s AEI and international agencies (e.g., FONDECYT, FWO). Her work has produced over 230 publications, with an h-index of 33. Notable works include Sound Symbolism and Motion in Basque (2006) and Lenguaje y Cognición (2021).