جست‌وجوی استاد و پژوهشگر

Hoon Seok Choiمشاهده پروفایل

استادیار

• Digital Marketing
• Online Review Dynamics
• Big Data Analytics
• +۴ مورد دیگر

Hoon Seok Choi is an Assistant Professor in the Department of Information Technology and Decision Sciences at the University of North Texas College of Business. His research focuses on digital ecosystems, consumer behavior in online platforms, and cybersecurity risks in technology adoption. He has contributed to understanding online review dynamics, big data analytics adoption, and pricing strategies in digital markets. Dr. Choi’s work spans multiple disciplines including information systems, marketing analytics, and behavioral economics. His research examines how trust cues influence online review helpfulness, the role of extrinsic factors in predicting review quality, and the interplay between user skills and technology adoption in mobile payment systems. His recent publications highlight trends in digital product pricing strategies (e.g., freemium models and SaaS pricing), cybersecurity behaviors related to public Wi-Fi use, and the psychological drivers behind video gaming addiction. These studies often utilize big data methodologies and experimental approaches. Despite his active research output, no scientific awards or grants are explicitly mentioned in the provided materials. His advising record remains undisclosed, and there is no mention of specific labs or collaborative teams associated with his work.

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Giacomo Boracchi is a researcher at the Polytechnic University of Milan , focusing on machine learning, computer vision, and signal processing. His work spans anomaly detection, change detection in data streams, 3D imaging, and biomedical applications. Key Collaborations : Diego Carrera, Luca Magri, Cesare Alippi Industries : Embedded systems, medical imaging, environmental monitoring Recent research explores adaptive Kalman filtering for battery estimation, zero-shot anomaly detection, and explainable AI for vision-language models. Publications highlight applications in waste sorting, histological data generation, and cardiac monitoring. His technical focus includes convolutional networks, ensemble learning, and domain adaptation. Boracchi's work bridges theoretical advancements with real-world systems in fraud detection, semiconductor manufacturing, and wearable health devices.

Mircea Nicolescuمشاهده پروفایل

استاد

• Computer Vision
• Surveillance Systems
• Robotic Vision
• +۳ مورد دیگر

Mircea Nicolescu is a Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno. He holds a Ph.D. (2003) and M.S. (1999) from the University of Southern California, and a B.S. (1995) from Polytechnic University Bucharest. He co-directs the Computer Vision Laboratory . His research focuses on computer vision , particularly in video content understanding , surveillance systems , robotic vision , and human-computer interaction . Key areas include robust tracking in dynamic scenes, autonomous navigation, and gesture/face recognition. Recent work addresses maritime safety, cryptocurrency forecasting, and robotic task parameter estimation via multimodal data fusion. He has published over 100 peer-reviewed articles and holds a U.S. patent for 'Fast Digital Pan-Tilt-Zoom Video'. His work has earned a Best Paper Award Finalist distinction (2021). Teaching responsibilities include Programming Languages and Advanced Computer Vision courses. Collaborative projects involve multi-agent systems, intent recognition, and spiking neural networks for pattern analysis.

Anja Eggertمشاهده پروفایل

پژوهشگر

• Applied biological statistics
• Ecological statistics
• Ecosystem modeling
• +۴ مورد دیگر

Anja Eggert (PhD in Marine Biology) is a Researcher at the Leibniz Institute for Farm Animal Biology (FBN) , where she has served as Head of the Data Service Centre since 2025 and previously led the Service Group Statistical Consulting (2018–2024). Her work bridges biological research with advanced statistical methodologies. Education: Diplom in Biology (University of Rostock, 1990–1991) Exchange student (University of Maryland, USA, 1994–1995) Diplom in Biology (University of Bremen, 1991–1997) PhD in Marine Biology (University of Groningen, 1997–2001) Research interests focus on applied biological and ecological statistics , with a strong emphasis on numerical modeling of ecosystems and adaptation of organisms to environmental stress . Her work spans marine and agricultural systems, including: Biogeography, chemotaxonomy, and evolution of marine organisms Statistical analysis of heat stress impacts on livestock (goats, pigs, cows) Behavioral studies in pigs and goats related to social cognition Environmental monitoring and contamination assessment in marine ecosystems Publications reflect interdisciplinary trends in animal science , ecological statistics , and environmental adaptation . Key subfields include nutritional metabolism , reproductive biology , behavioral ecology , and climate impact studies . Professional activities include participation in projects such as: BMBF's Environmental monitoring for the delaboration of munition in the sea (UDEMM, 2016–2017) BMBF's Biological impacts of ocean acidification (BIOACID, 2016) EU-BONUS-Project Integrated carbon and trace gas monitoring for the Baltic Sea (INTEGRAL, 2017–2018) BMBF's Geochemistry and Ecology of the Namibian Upwelling System (GENUS, 2009–2015) Labs and teams include collaborations with institutions like the Leibniz Institute for Baltic Sea Research Warnemünde (IOW) and Helmholtz Centre for Ocean Research Kiel (GEOMAR) , alongside interdisciplinary work at FBN on data science and agricultural efficiency.

• Developmental Psychology
• Child Social Development
• Child Emotional and Behavioral Health
• +۵ مورد دیگر

Dr Amy Paine is a Senior Lecturer in the School of Psychology at Cardiff University, specializing in child development, adoption outcomes, and the role of humor in social relationships. She holds a BSc and PhD from Cardiff University, including a 2017 doctoral thesis on sibling influence on social understanding. Her research employs longitudinal methods to study protective factors in children’s relationships and the impact of adversity in adoptive families. Education BSc Psychology with Professional Placement, Cardiff University (2013) PhD Developmental and Health Psychology, Cardiff University (2017) Research Interests Dr Paine focuses on social development through play, protective mechanisms in close relationships, and neurocognitive profiles of adopted children. Her work emphasizes humor as a tool for social understanding and has pioneered studies on adoption trajectories, familial communication, and intervention programs for vulnerable families. Grants & Awards 2025-2026: Welsh Government grant for adoption trajectory studies 2022: Cardiff University Civic Mission grant for playful hospital programs Recipient of the 2017 Hadyn Ellis Prize for Best Doctoral Dissertation Teaching & Supervision Coordinates MSc Psychology placements and supervises dissertations on children’s psychological disorders. Current PhD students include Cass Sheehan and Thais Marques. Labs & Initiatives Co-Director of the Neurodevelopment Assessment Unit and leads the Wales Adoption Study, collaborating with institutions globally to advance child welfare research.

Ramesh Jainمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Multimedia Computing
• +۵ مورد دیگر

Ramesh Jain is a distinguished Professor and Founding Director of the UCI Institute for Future Health at the University of California, Irvine. He holds leadership roles across multiple institutions, including founding directorships of the Artificial Intelligence Laboratory at the University of Michigan (1987), Visual Computing Lab at UC San Diego (1995), and editorships of IEEE MultiMedia and Machine Vision and Applications journal. His research focuses on AI, computer vision, and healthcare innovation, particularly in data-driven health navigation systems and experiential computing. Education: Ph.D. in Electronics & Electrical Communications Engineering from IIT Kharagpur (1975). Research Interests: Building computing frameworks for personalized healthcare AI applications in nutrition and disease prevention Experiential computing and multimedia systems Multimodal data fusion for health monitoring Scientific Awards: ACM Distinguished Service Award (2023), ACM SIGMM Technical Achievement Award (2010), and Fellowships from ACM, IEEE, AAAS, IAPR, AAAI, and SPIE. Professional Contributions: Founded SIGMultiMedia, pioneered multimedia computing concepts like Folk Computing and Experiential Computing, and advised over 15 companies in early stages. Current projects include the Open Source Personal Health Navigator at Peng Cheng Lab, Shenzhen. Lab/Team: Leads the UCI Institute for Future Health, focusing on integrating AI and health informatics for preventive care.

Evan F. Riskoمشاهده پروفایل

استاد

• Distributed Cognition
• Effort Perception
• Education and Training
• +۳ مورد دیگر

Evan F. Risko is a Professor and Associate Chair (Graduate Affairs) at the University of Waterloo. His research focuses on Distributed Cognition, Effort Perception, and applying cognitive psychology principles to improve education and training. He holds the Canada Research Chair in Embodied and Embedded Cognition and has received multiple awards including Early Career Awards from the Psychonomic Society, Canadian Society for Brain, and Outstanding Performance Awards from the Province of Ontario. His work is funded by NSERC, SSHRC, and other major grants. He leads the Cognition and Natural Behaviour Laboratory, exploring how humans integrate body and environment to enhance thinking. Recent studies examine lecture design, cognitive offloading effects, and metacognition in digital contexts. Education: B.A., M.A., Ph.D. from the University of Waterloo in Cognitive Psychology. His research bridges theoretical and applied domains, with a focus on optimizing learning through lecture video design, understanding effort perception, and mitigating cognitive biases. Scientific Awards: Canada Research Chair in Embodied and Embedded Cognition Early Career Award (Psychonomic Society) Early Career Award (Canadian Society for Brain, Behaviour, and Cognitive Science) 2014 & 2018 Outstanding Performance Awards (Province of Ontario) Advising & Grants: Supervises graduate students in cognitive science and education research. Major grants include NSERC Discovery Grants, SSHRC Insight Development Grants, and Canada Foundation for Innovation funds. His work on video lectures and cognitive offloading has implications for educational technology and workplace training. Labs & Teams: Director of the Cognition and Natural Behaviour Lab, collaborating on projects like 'Distributed Metacognition' and 'Effort Perception in Technology Use'. Current initiatives explore how external tools (e.g., smartphones) shape cognitive processes and learning efficacy.

Annemieke Witteمشاهده پروفایل

پژوهشگر

• Secure Base Script
• Heritability
• Emotional Development
• +۷ مورد دیگر

Annemieke Witte is a Researcher at the Vrije Universiteit Amsterdam , affiliated with the Faculty of Behavioural and Movement Sciences and working within the Clinical Child and Family Studies department. She is also associated with APH - Mental Health and LEARN! - Child Rearing research groups. Research Interests : Her work focuses on Secure Base Script knowledge in attachment theory, including its heritability and transmission across generations. She investigates emotional development in individuals with intellectual disabilities , particularly those with autism spectrum disorder , and evaluates interventions like video-feedback to improve parenting practices. Her studies often incorporate oxytocin and vasopressin in understanding attachment security and fatherhood . Scientific Awards : Excellence in Attachment Research in an Outstanding Dissertation Award (Society for Emotion and Attachment Studies, 2024) Email : a.m.witte@vu.nl

Marcus Rohrbachمشاهده پروفایل

استاد

• Computer Vision
• Computational Linguistics
• Machine Learning
• +۱ مورد دیگر

Marcus Rohrbach is a Full Professor at Technische Universität Darmstadt, leading the 'Multimodal Reliable AI' lab. Previously, he served as a Research Scientist at Meta AI (2017-2023), PostDoc at UC Berkeley (2014-2017), and completed his PhD at Max Planck Institute for Informatics. His research focuses on computer vision, computational linguistics, and developing trustworthy AI systems. His work explores multimodal learning, video understanding, and improving AI reliability. Recent publications demonstrate strong emphasis on video-language integration, fact verification systems, and developing methods for AI abstention when uncertain. Research consistently addresses challenges in cross-modal alignment and trustworthy reasoning. Dr. Rohrbach maintains an active publication record in top-tier venues, with recent work focusing on video instruction understanding, multimodal fact-checking, and efficient pretraining techniques. His contributions advance both theoretical frameworks and practical applications in trustworthy vision-language systems.

Martial Hebertمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Autonomous Systems
• +۶ مورد دیگر

Martial Hebert is the Dean and University Professor of Robotics at Carnegie Mellon University's School of Computer Science (SCS), leading since August 2019. His career spans decades at CMU's Robotics Institute (RI), where he served as Director (2014-2019) and Professor (1999-present). Broad research interests in computer vision, perception for autonomous systems, and 3D environment modeling. Current PhD advisees include Zhipeng Bao, with numerous past PhD and Master's students listed. Editor-in-Chief of the International Journal of Computer Vision and member of IEEE Robotics and Automation Society. His research focuses on computer vision and robotics , emphasizing 3D data interpretation, object recognition, and machine learning applications. Recent articles highlight advancements in 3D vision , diffusion models , and disaster response robotics , reflecting a trajectory from foundational algorithms to applied autonomous systems. Notably, he pioneered the first master's program in computer vision in the U.S. Hebert's leadership in academic and research spheres includes directing the RI and securing an operating budget peak during his tenure. His work bridges perception, intelligence, and autonomous systems, with applications in disaster scenarios , LiDAR point cloud detection , and video forecasting .

Senem Velipasalarمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Wireless Smart Camera Networks
• +۸ مورد دیگر

Senem Velipasalar is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Syracuse University, affiliated with the Smart Vision Systems Laboratory and the Aging Studies Institute. She holds a Ph.D. and M.A. from Princeton University, an M.S. from Brown University, and a B.S. from Bogazici University. Her research focuses on machine learning, computer vision, and wireless smart camera systems, with applications in human activity classification, driver behavior analysis, and defense against adversarial attacks. Her honors include the NSF CAREER Award (2011), 2021 IEEE Technological Innovation Award, and multiple doctoral prizes for her advisees. She leads grants totaling over $4M, including ARPA-E projects on occupancy detection and DOE-funded research on aerial energy modeling. Research interests span embedded vision, distributed multi-camera tracking, and energy-efficient algorithms. Her lab develops technologies like wearable camera-based fall detection and autonomous UAV navigation. Notable publications include works on adversarial attacks, fNIRS brain activity analysis, and thermal pedestrian detection.

• Multimedia Computing
• Computer Vision
• Computer Graphics
• +۷ مورد دیگر

Professor Zhiyong Wang is a faculty member at the School of Computer Science, University of Sydney, serving as Deputy Director of Sydney Informatics Hub and Director of the Multimedia Computing Laboratory. His research focuses on multimedia computing, including information retrieval, computer vision, AI, and applications in agriculture, healthcare, and environmental monitoring. He holds a B.Eng., M.Eng. from South China University of Technology, and a Ph.D. from The Hong Kong Polytechnic University. His work bridges theoretical advancements and real-world applications, with over 200 peer-reviewed publications. He is a member of IEEE and former President of Australia Pattern Recognition Society (APRS). Research Interests: Enabling computers to understand and create multimedia content, with emphasis on human-centric computing, remote sensing, and interdisciplinary applications. Notable areas include action recognition, medical image analysis, and environmental monitoring. Current Roles: Leads the Multimedia Computing Lab, collaborates with Sydney Institute of Agriculture and Brain and Mind Centre. Teaches COMP5216 (Mobile Computing), COMP5405 (Digital Media Computing), and COMP5425 (Multimedia Retrieval). Students: Supervises 9 Ph.D. students focusing on topics like precision agriculture, biomedical engineering, and AI-driven video analytics. Key projects include soil moisture forecasting, biomechanical risk analysis for knee osteoarthritis, and explainable machine learning.

Edwin Lockمشاهده پروفایل

پژوهشگر ارشد

• Algorithmic Game Theory
• Auctions and Markets
• Algorithms & Complexity
• +۳ مورد دیگر

Edwin Lock is a Research Fellow in the Department of Computer Science at the University of Oxford. His research focuses on algorithmic game theory, auctions, and computational economics, with an emphasis on mechanism design, pricing strategies, and market equilibria. He holds a BSc in Mathematics from FernUniversität Hagen, an MSc in Mathematics and Computer Science from the University of Oxford, and a BA in Music from Oxford. His work bridges theoretical foundations and practical implementations, including projects like Test and Contain—a resource-optimal testing strategy for pandemic response—which earned awards at EC’23 and SIGecom. Recent activities include a visiting scholar position at Harvard SEAS in 2025 and presentations at AAAI’25 and JPMorgan AI Research. Education: BSc Mathematics, FernUniversität Hagen MSc Mathematics & Computer Science, University of Oxford BA Music, University of Oxford Research interests include algorithmic solutions for complex markets, decentralized pricing mechanisms, and computational methods for equilibrium analysis. His work on pooled testing strategies and product-mix auctions demonstrates cross-disciplinary impact in economics and public health. Awards include the ACM GCEC’20 grant and best paper recognitions for contributions to algorithmic epidemiology and market mechanisms. Awards: Best Paper Award at EC’23 Best Poster Video Award at ACM SIGecom Workshop Exemplary Track Paper Award at EC’24 Collaborations span academia and industry, with recent focus on AI-driven preference elicitation and decentralized trading systems. His lab’s projects aim to advance both theoretical understanding and practical applications in algorithmic economics.

Dominic Machadoمشاهده پروفایل

دانشیار

• Roman History and Historiography
• Collective Action in Antiquity
• Dissent and Resistance in the Roman World
• +۴ مورد دیگر

Dominic Machado is an Associate Professor in the Department of Classics at the College of the Holy Cross. He holds a PhD in Ancient History from Brown University (2017) and an A.B. in Classics and Economics from Dartmouth College (2009). His research focuses on collective action and dissent in Roman History, particularly within military communities of the Middle Republic. He co-directs the Lingua Latina Legenda (L3) project, funded by Holy Cross' Scholarship in Action Grant, which rethinks Latin pedagogy to address power structures in classical education. Key professional activities include serving on the Society for Classical Studies' Diversity and Inclusion Committee, the Mountaintop Coalition steering committee, and the Association of Ancient Historians' Diversity Working Group. His recent work explores how Classics intersects with modern issues of diversity, postcolonial theory, and media representation. His scholarship spans Roman military sociology, ancient rhetoric, and digital humanities, with notable contributions to understanding non-elite agency and the reception of antiquity in video games. Current projects include a monograph on Roman military communities' impact on Mediterranean systems.

Georgios Siolasمشاهده پروفایل

پژوهشگر

• machine learning
• text mining
• information retrieval
• +۶ مورد دیگر

Georgios Siolas is a Senior Researcher at the Artificial Intelligence and Learning Systems Laboratory (NTUA-ISLab), part of the School of Electrical & Computer Engineering at the National Technical University of Athens (NTUA). He holds a BSc in Electrical & Computer Engineering from NTUA (1998), an MSc in Cognitive Science from Sorbonne Université (1999), and a PhD in Computer Science (2003). His research focuses on machine learning, text mining, information retrieval, and semantic web technologies, with applications in computer vision, recommender systems, and social network analysis. He develops intelligent systems for cultural heritage management, smart tourism platforms, and sign language recognition. Key contributions include innovations in neural architecture search, deep learning for hyperspectral imagery, and plagiarism detection in imbalanced datasets. His work integrates semantic technologies with pervasive computing for smart home environments.