جستجوی استاد راهنمای دانشگاهی

• Remote Sensing
• Geographic Information Systems (GIS)
• Environmental Data Science
• +۳ مورد دیگر

Bo Zhou is a Lecturer in the Department of Geography at the University of California, Los Angeles (UCLA). His current work involves a NASA-funded project collaborating with the U.S. Geological Survey (USGS) and the Bureau of Land Management (BLM) to develop a web-based tool that integrates NASA satellite data with field assessments for spatial and temporal analysis of environmental variables. This research focuses on enhancing ecological monitoring and resource management through advanced data fusion techniques. Dr. Zhou holds a Ph.D. in Forestry (2013) and an M.A. in Geography (2007), both from the University of Missouri Columbia. His research interests span remote sensing, geographic information systems (GIS), environmental data science, and the application of AI-driven methods to environmental challenges. His recent projects emphasize the development of generative models, autonomous systems, and urban simulation tools to address complex spatial and temporal data problems. His publications from 2022–2025 highlight contributions in AI, robotics, and computer vision, particularly in generative models, autonomous navigation, and data-efficient learning. These works reflect a focus on advancing technologies for urban mobility, environmental monitoring, and simulator-based research. Despite prolific output, no scientific awards are explicitly mentioned in the provided texts. Zhou’s advising and grant activities are not detailed here, but his collaborations with NASA and federal agencies underscore a strong commitment to applied environmental research. His work bridges academic and practical domains, aiming to improve decision-making in ecological and urban systems through innovative data integration and simulation.

Sossena Woodمشاهده پروفایل

استادیار

• Biomedical Engineering
• Neuroimaging
• Sickle Cell Disease
• +۴ مورد دیگر

Dr. Sossena Wood is an Assistant Professor in Biomedical Engineering at Carnegie Mellon University, with courtesy appointments in Electrical and Computer Engineering and the Neuroscience Institute. She holds a B.S. in Electrical Engineering (2011) and a Ph.D. in Bioengineering (2018) from the University of Pittsburgh, followed by a Presidential Postdoctoral Fellowship at CMU under Dr. Jana Kainerstorfer. Her research focuses on multi-modal, noninvasive imaging techniques to study cerebrovascular diseases like sickle cell disease (SCD), emphasizing neural mechanisms and healthcare equity. Key research areas include hemodynamic imaging (MRI, NIRS, EEG), pain and cognitive deficits in SCD, and inclusive neurotechnology to address biases in medical devices. She leads the Wood Neuro Research Group, collaborating with the CMU-Pitt BRIDGE Center and institutions globally. Awards include the American Society of Hematology Abstract Achievement Award (2020) and recognition as a Women of Color Technology Rising Star (2021). Her lab develops cutting-edge tools like anthropomorphic phantoms and MRI coils, and addresses algorithmic bias in devices like pulse oximeters. Educational contributions include teaching "Fundamentals of MRI and Neuroimaging Analysis" and outreach programs to engage underrepresented youth in STEM. Current collaborations focus on SCD mechanisms, pain biomarkers, and imaging equity. Lab equipment includes 3T MRI systems, EEG setups, thermal stimulators, and advanced NIRS devices. She advises multiple graduate and undergraduate students, with recent alumni including Yuxuan Gu (M.S.) and Alexis Duong (B.S./M.S.).

Robert Hawkinsمشاهده پروفایل

استادیار

• Cognitive Science
• Linguistics
• Computational Modeling
• +۳ مورد دیگر

Robert Hawkins is an Assistant Professor of Linguistics at Stanford University and directs the Social Interaction Lab. His research focuses on uncovering cognitive mechanisms underlying communication, collaboration, and social interaction through experiments and computational models. He completed his PhD in Psychology at Stanford University (2019) and undergraduate studies in Mathematics and Cognitive Science at Indiana University (2014). Previously, he was a C.V. Starr Postdoctoral Fellow at the Princeton Neuroscience Institute. Key research interests include computational cognitive science, cross-cultural communication, pragmatic reasoning, and the application of large language models (LLMs) to collective intelligence studies. His work integrates insights from linguistics, neuroscience, and AI to understand how humans coordinate and adapt during social interactions. Recent contributions explore topics such as cross-cultural politeness strategies, diagnostic questioning in social inference, and model limitations in multi-modal language understanding. Hawkins collaborates widely with scholars in cognitive science, linguistics, and AI, emphasizing open science practices through initiatives like the Experimentology textbook. His lab, the Social Interaction Lab, emphasizes experimental and computational methods to study topics like conversational dynamics, group coordination, and the emergence of social norms. He mentors students in these areas, including PhD candidate Yuka Machino.

Chengbo Zhengمشاهده پروفایل

پژوهشگر ارشد

• Data Visualization
• Human-Computer Interaction (HCI)
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Chengbo Zheng is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on data visualization, human-computer interaction, and educational technology, particularly leveraging AI to enhance collaborative work, decision-making, and learning environments. Zheng has contributed to interdisciplinary projects such as AI tools for self-assessment in education, human-AI co-exploration systems, and visualization techniques for complex data analysis. His work bridges theoretical advancements with practical applications, including improving data storytelling, combating misinformation, and optimizing transportation networks through visual analytics. Recent projects emphasize AI's role in collaborative processes, such as group decision-making fairness and interdisciplinary information seeking. Zheng's methodologies often combine computational tools with user-centered design principles to address real-world challenges. He has presented at top venues like CHI, UIST, and IEEE Visualization conferences, showcasing innovations in interactive systems, AI integration, and visualization design. His research has implications for education, scientific collaboration, and urban planning.

Peyman Moghadamمشاهده پروفایل

دانشیار مدعو

• Self-Supervised Learning for Robotics
• Embodied AI
• 3D Multi-Modal Perception (3D++)
• +۴ مورد دیگر

Peyman Moghadam is an Adjunct Associate Professor at the University of Queensland (UQ) and a Principal Research Scientist at CSIRO Data61. He also holds an adjunct professorship at Queensland University of Technology (QUT). His roles include leading the Embodied AI Research Cluster at CSIRO Data61 and overseeing the Spatiotemporal AI portfolio within CSIRO's Machine Learning and Artificial Intelligence (MLAI) Future Science Platform. He has held visiting appointments at ETH Zürich (2022) and the University of Bonn (2019). His research focuses on self-supervised learning for robotics, embodied AI, 3D multi-modal perception, and computer vision applications in robotics and environmental science. Education details are not explicitly provided in the text, but his professional experience and research output suggest advanced academic training in robotics, computer science, and machine learning. Awards include the CSIRO Julius Career Award, National and Queensland iAwards, and the Lord Mayor's Budding Entrepreneurs Award. He has led large-scale interdisciplinary projects and published extensively in top-tier journals and conferences. His research themes span robotics perception, AI-driven environmental modeling, and sensor fusion. Notable contributions include benchmark datasets (e.g., WildScenes), novel algorithms for LiDAR place recognition, and geo-encoded transformers for plant species prediction. His work bridges robotics, machine learning, and real-world applications in agriculture, environmental monitoring, and autonomous systems. Awards: CSIRO Julius Career Award, Collaboration Medal, National/Queensland iAwards, Lord Mayor's Budding Entrepreneurs Award Grants & Projects: Led multidisciplinary projects in robotics, AI, and environmental science funded by CSIRO and industry collaborators Labs/Teams: Embodied AI Research Cluster (CSIRO Data61), Spatiotemporal AI portfolio (CSIRO MLAI)

Alex Whiteمشاهده پروفایل

استادیار

• Visual Perception
• Neuroscience
• Attention
• +۴ مورد دیگر

Alex White is an Assistant Professor in the Department of Neuroscience & Behavior at Barnard College. He leads the Barnard Vision Lab, focusing on visual perception, attention, and visual word recognition. His work employs behavioral assessments, eye-tracking, and functional MRI to study how the brain processes visual information, particularly written words. He joined Barnard in 2021 and teaches courses including Introduction to Neuroscience and Visual Neuroscience. Educational Background: BA, Yale University MS, University of Sydney PhD, New York University Research Interests: Dr. White's research explores the neural mechanisms underlying visual perception, with a focus on how attention and expectation influence visual processing. His lab investigates word recognition through eye-tracking and fMRI, addressing questions about serial vs. parallel processing, visual field position effects, and neural bottlenecks in lexical access. Recent work also examines dyslexia-related visual encoding deficits and the interplay between attention and language in the visual word form area. Publications Overview: His articles emphasize capacity limits in word recognition, spatial attention dynamics, and neural correlates of visual processing. Recent work highlights hemifield asymmetries in crowding and the role of expectation in modulating covert attention. The lab's findings contribute to theories of parallel/serial processing and neuroplasticity in reading. Labs/Teams: The Barnard Vision Lab collaborates with students and researchers to advance understanding of visual cognition. Openings for student research assistants require programming skills.

Klaus-Robert Müllerمشاهده پروفایل

استاد

• Machine Learning
• Computational Neuroscience
• Brain-Computer Interfaces
• +۸ مورد دیگر

Prof. Dr. Klaus-Robert Müller is a Full Professor and Chair of Machine Learning at Technical University of Berlin, leading the Berlin Institute for the Foundations of Learning and Data (BIFOLD). He holds joint appointments at Korea University (Department of Artificial Intelligence) and collaborates with institutions like Google Research and the Max Planck Society. With a PhD in theoretical computer science from the University of Karlsruhe, Müller has pioneered work in statistical learning theory, brain-computer interfaces, and explainable AI. His research spans computational neuroscience, molecular dynamics, and medical imaging applications such as digital pathology and neuroimaging analysis. He has directed major initiatives like the Berlin Center for Machine Learning (BZML) and the Berlin Big Data Center (BBDC), now integrated into BIFOLD. Müller is a member of prestigious academies, including the Leopoldina and Berlin-Brandenburg Academy of Sciences, and has received awards like the Vodafone Innovations Award (2017) and Berlin Science Prize (2014). Education: PhD in Theoretical Computer Science (1992), University of Karlsruhe Diploma in Mathematical Physics (1989), University of Karlsruhe Research Interests: Müller’s work integrates machine learning with interdisciplinary challenges, emphasizing explainability and ethical AI. Key areas include neural network interpretability, non-stationary data analysis, and applications in healthcare (e.g., tumor classification, genomic data analysis) and materials science (e.g., quantum chemistry simulations). His contributions to brain-computer interfaces and neuroimaging have advanced understanding of neural oscillations and brain connectivity. Awards & Recognition: Member, German National Academy of Sciences Leopoldina (2012) Member, Berlin-Brandenburg Academy of Sciences (2017) Science Prize of Berlin (2014) Vodafone Innovations Award (2017) Labs & Leadership: Directs BIFOLD and co-leads initiatives like the TEA Challenge in molecular dynamics. Supervises interdisciplinary teams focused on AI in pathology, computational chemistry, and neurotechnology. His work bridges theory and practice, with impactful contributions to open datasets (e.g., QCML) and scalable machine learning frameworks.

Lucy Yangمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Educational Technology
• +۳ مورد دیگر

Dr. Lucy Yang serves as the Dean of Talwar College of Engineering and Computer Sciences at Indiana Tech, a position she has held since September 2024. Previously, she was Chair and Professor of Computer Science and Engineering at Fairfield University (2022–2024) and held roles including Faculty Fellow for Academic Affairs at Purdue University Northwest (2005–2022). She holds a Ph.D. in Electrical Engineering from China University of Mining and Technology, an M.A.Sc. in Systems and Computer Engineering from Carleton University, and multiple bachelor's and master's degrees in Engineering from Taiyuan University of Technology. Her research focuses on cybersecurity education, artificial intelligence, virtual reality, and innovative teaching methodologies. She has secured significant grants from the National Science Foundation (NSF), NASA, and other organizations, totaling over $2 million in recent years. Notable projects include developing cybersecurity curricula for high schoolers and creating immersive learning frameworks using AI and VR. Dr. Yang’s work emphasizes interdisciplinary collaboration, with grants such as the NSF-funded IntelEUI project (2021–2023) aimed at enhancing workforce productivity in energy and utilities through AI and extended reality. She has also been a PI on initiatives like the Connecticut Space Grant Consortium’s cognitive workload analysis project (2024). Her publications span peer-reviewed journals and conferences, with a focus on cybersecurity education, AR/VR applications, and health informatics. A key achievement includes co-authoring a Springer textbook on genetics education and receiving a Best Paper Award in 2021 for the 'Permission Educator' app. Her advising and grant work includes leading interdisciplinary teams and mentoring students in cybersecurity, AI, and engineering. Current efforts involve expanding access to STEM education through hands-on curricula and virtual learning tools.

• Huntington's disease
• Neurodegenerative disorders
• Cognitive neuroscience
• +۴ مورد دیگر

Anne-Catherine Bachoud-Levi is Professor of Neurology (MD, PhD) and heads the Neurology Department at Henri Mondor hospital. She leads the INSERM team 'Interventional neuropsychology' developed at the Institut Mondor de Recherche Biomédicale (IMRB) and the Labex Institut de la Cognition (IEC). She directs the National Reference Centre for Huntington disease and created the French Huntington Study Group in 2002, serving as French coordinator for the European Huntington's Disease Network cohort 'REGISTRY'. Her research focuses on clinical and translational aspects of Huntington's disease, with expertise in cognitive processing (holding a PhD in psycholinguistics), innovative cell and gene therapies, and longitudinal cognitive assessment in neurodegenerative conditions. Her work particularly emphasizes language and social cognition, developing specialized assessments for care, cohorts, and therapeutic trials. She teaches at Cogmaster (ENS), Master de Santé (UPE), DU maladies rares, and the Medical Faculty in Créteil. Analysis of her recent publications (2022-2024) reveals a strong emphasis on digital cognitive monitoring tools, speech pattern analysis in Huntington's disease, modifiable factors affecting disease progression, and the neural mechanisms underlying cognitive functions in neurodegeneration. Her work increasingly incorporates machine learning approaches for dementia detection and integrates multi-modal assessment techniques. She has supervised numerous PhD students including C. Jacquemot, M. Teichmann, L. Cleret de Langavant, M. Couette, S. Sambin, and C. Schramm, establishing a productive research lineage in cognitive neuroscience and neurodegenerative disease research. Her laboratory, NeuroPsychologie Interventionnelle (NPI), located at 29 rue d'Ulm in Paris, serves as the hub for her research activities, with additional facilities at the Faculty of Medicine in Créteil. She maintains active collaborations across European research networks focused on rare neurological diseases.

Florian Geiselhartمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Virtual Reality
• Gesture-Based Interaction
• +۳ مورد دیگر

Florian Geiselhart is a Professor of Interaction Design at Hochschule für Gestaltung Schwäbisch Gmünd since October 2016. His research focuses on gesture-based interaction, depth camera systems, and virtual reality (VR) technologies. He leads projects such as ASSIST (gaze/gesture assistance for users with disabilities) and INTERACT (human-centered workplace assembly systems). Key contributions include pseudo-haptic feedback for VR, gaze interaction on head-mounted displays, and scalable motion tracking frameworks. His work bridges HCI principles with industrial applications, particularly in manufacturing and accessibility. Awards include the 2015 Best Industrial Paper Award for markerless tracking research. Teaching roles include leading 'Mensch-Computer-Interaktion I' and 'Research Trends in Media Informatics' courses. He advises students on thesis topics in gesture interaction and depth camera systems. Peer-reviewed venues include CHI, UIST, and IEEE VR. His tools like FusionKit and EyeVR demonstrate practical implementations of theoretical insights. Research trends span VR/haptic feedback, gaze-based interfaces, and sensor fusion. Articles analyze perceptual illusions (e.g., weight perception via tracking offsets) and 3D gaze reconstruction. Active in reviewing for top conferences (CHI, TEI, NIME), he contributes to advancing interactive systems' design and evaluation methodologies.

Srijan Dasمشاهده پروفایل

استادیار

• Computer Vision
• Robotics
• Video Representation Learning
• +۳ مورد دیگر

Srijan Das is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Charlotte. His research focuses on Video Representation Learning, Robotic Vision, and applications in healthcare through affiliations with the AI4Health Center and Charlotte Machine Learning Lab (CharMLab). He holds a PhD from INRIA (France) and completed postdoctoral work at Stony Brook University. Education: PhD in Computer Science (INRIA, 2020), Post-Grad (NIT Rourkela). Research interests span multimodal learning, vision-language-action models, diffusion models for video generation, and AI for healthcare. Recent achievements include NSF grant funding, 3rd place in WACV 2025's Elderly Action Recognition Challenge, and serving as NeurIPS 2025 Area Chair. His lab advises multiple PhD students and undergraduates in domains like action detection and medical imaging. Key contributions include the LLAVIDAL model (CVPR 2025), GECKO for histopathology (ICCV 2025), and foundational work on pose-induced video transformers. His research bridges computer vision with robotics applications, emphasizing interpretable AI and real-world deployment.

Siddhartha Dalalمشاهده پروفایل

استاد

• Risk Analysis
• Bayesian Statistics
• Artificial Intelligence
• +۵ مورد دیگر

Siddhartha Dalal is a Professor of Professional Practice in Applied Analytics at Columbia University's Faculty of Professional Studies. He is an affiliated member of the Statistics Department and multiple centers including Cybersecurity, Health Analytics, and Financial and Business Analytics. Prior roles include Chief Data Scientist/Senior Vice President at AIG, CTO at the RAND Corporation, and leadership positions at Xerox, Bell Labs, and Bellcore. He has over 125 peer-reviewed publications, patents, and monographs focusing on risk analysis, medical informatics, Bayesian statistics, and software reliability. His work includes pioneering AI applications in insurance analytics through Praedicat, Inc., and notable contributions to software testing methodologies like the AETG system. Research interests span interdisciplinary domains: leveraging AI for risk assessment, statistical methods in healthcare, and cybersecurity solutions. Awards include IEEE, ASA, and ASQ recognitions for groundbreaking work on the Challenger disaster analysis and software risk management. Dalal advises the Army Science Board on technological advancements and has led initiatives in data-driven decision-making across industries. Education: Advanced degrees in statistics and computer science (details not explicitly stated in text). Labs/Teams: Affiliated with Columbia Statistics Department and Army Science Board advisory group. Future Work: Expanding AI-driven risk frameworks in finance and healthcare, enhancing multi-modal data fusion systems.

Aitor Garces Manzaneraمشاهده پروفایل

دانشیار

• Applied Linguistics
• Second Language Acquisition
• Educational Text Analysis
• +۴ مورد دیگر

Aitor Garces Manzanera is an Associate Professor (part-time) at the University of Murcia's Faculty of Education, specializing in the Department of Didactics of Language and Literature. He holds a PhD from the University of Murcia (2021) with a thesis on digital writing processes and corrective feedback in primary education. His academic roles include directing the ELE Master's Degree and teaching across multiple programs. Research interests focus on applied linguistics, second language acquisition, and digital writing processes. Key areas include: motivational networks in L2 learning, corrective feedback efficacy, blended learning modalities, and the integration of communicative tasks in education contexts. His work bridges theoretical frameworks with practical pedagogy, emphasizing digital environments and young learners' cognitive processes. Publications span over 15 peer-reviewed articles and books covering topics like JASP statistical tools in L2 research, vocabulary retention in communicative tasks, and descriptive analyses of English education programs in Spanish universities. Recent studies explore Bayesian network analysis of motivational factors and the impact of digital tools on writing fluency. Professional activities include academic consultancy, workshop facilitation, and contributions to international conferences. His research often employs keystroke-logging software and mixed-method approaches to study writing processes. Current projects emphasize task-based learning strategies and the affordances of rubrics in L2 writing assessment. Education background includes a PhD in Applied Linguistics from the University of Murcia (2021), and prior contributions to medieval manuscript analysis (e.g., the Heinrich Seuse Exemplar). Professional networks include SCOPUS, Researcher ID, and Google Scholar profiles.

• Dementia Research
• Neuroscience
• Biomedical Engineering
• +۵ مورد دیگر

Dr. Saber Sami is an Associate Professor in Dementia Research at the Norwich Medical School, University of East Anglia. His academic background includes a PhD in Biomedical Science and Engineering from Aalborg University (Denmark), followed by research roles at the University of Birmingham, University of Cambridge, and others. He specializes in multi-disciplinary approaches combining multi-modal imaging, behavioral methods, and computational modeling to study cortical reorganization in chronic conditions like dementia. Education: PhD in Biomedical Science and Engineering, Aalborg University, Denmark Research Interests: Dr. Sami’s work focuses on understanding the effects of dementia on brain structure and function, healthy ageing, and chronic neurological conditions. His research integrates advanced neuroimaging techniques, machine learning models, and behavioral assessments to develop diagnostic tools and interventions. Current projects include anxiety assessment in stroke patients, VR-based therapies for fibromyalgia, and the role of dietary polyphenols in neuroprotection. Grants & Projects: Improving Anxiety Assessment in Stroke (NIHR-funded) aeon Toolkit for Time Series Machine Learning (EPSRC) Deep Phenotyping Study on Brain Function During Perimenopause Labs & Collaborations: Member of the Lifespan Health and Norwich Epidemiology Centre. Collaborations span institutions in the UK, focusing on dementia, neurorehabilitation, and computational neuroscience.

Hyojin Parkمشاهده پروفایل

استادیار

• Neural Oscillations
• Speech Processing
• Memory
• +۳ مورد دیگر

Dr. Hyojin Park is an Assistant Professor in the School of Psychology at the University of Birmingham, UK. She specializes in neural oscillatory mechanisms underlying human speech and memory, with a focus on audiovisual speech processing and integration. Her research explores how brain oscillations, such as delta and theta rhythms, support attention, memory, and communication in multi-speaker environments. Prior to this role, she held positions as a Research Associate at the University of Glasgow and a Birmingham Fellow at the University of Birmingham. Dr. Park’s educational background includes a PhD in Cognitive Neuroscience from Seoul National University (South Korea) and a BA in Psychology from Kyungpook National University (South Korea). She leads the NEURECA research group, which investigates neural representations and computational models of multi-modal brain activity across the lifespan. The group’s work integrates neuroimaging techniques like fNIRS and EEG to study speech perception, cognitive control, and neural oscillations. Her research interests span neural oscillations, speech perception, and neuroimaging methods. Recent studies highlight the dissociation between prosodic and syntactic speech processing, the role of visual speech cues in multi-speaker scenarios, and the impact of face masks on speech feature reconstruction. She also explores theta phase modulation in auditory detection and delta oscillations’ role in semantic gist extraction. Dr. Park actively recruits PhD students and postdoctoral researchers, emphasizing collaborative projects in cognitive neuroscience and neuroimaging. Her work has been published in high-impact journals such as Current Biology and Journal of Cognitive Neuroscience , with ongoing contributions to conferences and preprint platforms like bioRxiv. She coordinates the NEURECA lab, hosting interdisciplinary collaborations on multimodal brain dynamics. Her research aligns with broader efforts in cognitive neuroscience, clinical neuroimaging, and computational modeling of neural systems.