جستجوی استاد راهنمای دانشگاهی

Cindy Xiongمشاهده پروفایل

استادیار

• Data Visualization
• Visual Perception
• Cognition
• +۳ مورد دیگر

Cindy Xiong is an Assistant Professor in the School of Interactive Computing at Georgia Tech. She holds a Ph.D. in Cognitive Psychology from Northwestern University and undergraduate degrees in Applied Mathematics and Psychology from UCLA. Her research focuses on the intersection of visual perception, cognition, and data visualization, aiming to understand how humans interpret and make decisions from visualized data. She has pioneered work on mitigating confirmation bias, perceptual illusions in charts, and the impact of visualization design on decision-making. Her research has been recognized with an NSF CAREER Award (2023) and an NSF Medium Award (2024), as well as best paper awards at IEEE PacificVis (2024) and ACM CHI (2022). She co-founded VISxVISION, an initiative bridging visualization researchers and perceptual psychologists. She also serves on the Human Factors Task Group at NIST to evaluate forensic lab standards. Teaching: She designed a UX Research course at UMass Amherst, emphasizing user-centered design, experimental methods, statistical analysis, and effective communication of research findings. The course involves group projects analyzing UX challenges and presenting data-driven solutions. Grants/Awards: NSF funding totaling $1.2M supports her work on visual analytic decision-making and mitigating confirmation bias. Her honors include VGTC Dissertation Award recognition (2022) and IEEE CG&A Best Paper Runner-Up (2022). Research Labs/Teams: Active in NIST's Human Factors Task Group and leading the VISxVISION collaboration. Her work often involves interdisciplinary teams combining psychology and computational methods.

Trang Vuمشاهده پروفایل

مدرس

• Natural Language Processing (NLP)
• Machine Learning
• Trustworthy AI
• +۵ مورد دیگر

Trang Vu is a Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology. Her research focuses on trustworthy NLP methods, cultural-aware machine translation, and efficient ML techniques like active and transfer learning. She holds a PhD in AI and Machine Learning from Monash University, awarded in 2022. Education: Doctoral of Philosophy (AI and Machine Learning) - Monash University (2022) Research Interests: Safe and trustworthy NLP methods for LLM alignment and hallucination mitigation Cultural-aware machine translation systems Efficient NLP techniques including active learning and semi-supervised methods Recent Projects: TMLGenAI (2023-2026): Developing safe and aligned foundation models Knowledge-Intensive Multimodal ASR research (2024) Collaborations: International collaborations in generative AI and multilingual NLP Team leader roles in multiple large-scale AI projects

E. Mara Greenمشاهده پروفایل

استادیار

• Linguistic Anthropology
• Sociocultural Anthropology
• Deaf Anthropology
• +۵ مورد دیگر

E. Mara Green serves as an Assistant Professor of Anthropology at Barnard College, where she teaches anthropological theory, linguistic anthropology, disability studies, and South Asian cultures through the lens of deaf, queer, and feminist frameworks. Her research program investigates the ethical foundations of communication, emphasizing that mutual understanding requires both linguistic resources and social commitment to connection. Green's ethnographic work in Nepal examines deaf communities using Nepali Sign Language (NSL) and natural sign systems, revealing how communication practices intersect with caste, ethnicity, and bodily experience. Current projects explore NSL signers' parenting experiences and communicative strategies of queer and trans Nepalis across modalities, employing methodologies including video ethnography, participant observation, and linguistic analysis to document embodied interaction. Her 10 publications (2014-2024) demonstrate consistent theoretical innovation at the intersection of linguistic anthropology and deaf studies, challenging Western linguistic frameworks by centering Nepali signers' own theories of language. Key contributions include analyses of gesture pragmatics, sign language ideologies, and moral dimensions of international deaf encounters, culminating in the 2024 monograph Making Sense: Language, Ethics, and Understanding in Deaf Nepal . At Barnard, Green advises anthropology majors and mentors linguistics special majors through petition processes. While specific grant details are unreported, her inclusion in Barnard's 2020 faculty awards announcement suggests institutional recognition of research excellence through mechanisms like Fulbright support.

Vedhus Hoskereمشاهده پروفایل

استادیار

• Image Analysis
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Vedhus Hoskere is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Houston. His research focuses on interdisciplinary areas at the intersection of civil engineering, computer science, and robotics, emphasizing automated infrastructure inspection, machine learning, and AI-driven solutions for structural health monitoring. He holds the Liu Huixian Earthquake Engineering Scholarship (2018) for his work on automated post-earthquake building inspections. Key research areas include image analysis, machine learning, robotics, scientific computing, and visualization. His work integrates computer vision with civil infrastructure challenges, such as flood modeling, structural damage assessment, and autonomous inspection systems using drones and robotics. Notable projects include developing digital twin frameworks for bridges, synthetic environment testing for inspection algorithms, and semi-supervised learning for disaster damage analysis. His recent publications highlight advancements in transformer networks for instance segmentation, physics-informed generative models for damage assessment, and AI-driven hurricane resilience strategies. Hoskere collaborates on platforms like InstaDam for automated damage segmentation and explores Bayesian neural networks for quantifying uncertainties in infrastructure monitoring. Key Awards: Liu Huixian Earthquake Engineering Scholarship (2018) Advising & Labs: While no specific student names or grant details are provided, his research group likely focuses on robotics, computer vision, and AI applications in civil engineering. He contributes to open-source tools like the InstaDam platform and collaborates with institutions like the University of Illinois and USACE.

• Social Cognition
• Attention Mechanisms
• Action Observation
• +۵ مورد دیگر

Professor Andrew Bayliss is a Professor in Psychology at the University of East Anglia's School of Psychology, where he serves as Social Cognition Research Group Lead and UEA UOA4 Psychology REF coordinator. He joined UEA in 2011 after completing his PhD at Bangor University and holding postdoctoral fellowships with the ESRC, Leverhulme Trust, and University of Queensland. Undergraduate Degree: Bangor University PhD: Bangor University Postdoctoral Fellowships: ESRC, Leverhulme Trust, University of Queensland His research spans social cognition, attention-action interactions, and individual differences, with specific focus on face perception, eye gaze processing, and objects in social contexts. Utilizing methodologies including eye tracking, motion capture, EEG, and fMRI, his work examines how social cues guide attention and influence behavior. Current projects investigate gaze understanding development, interpersonal agency, and autism interventions using natural scenes. Analysis of his recent publications reveals a strong emphasis on social attention mechanisms, particularly gaze leading phenomena, interpersonal distance effects, and neural correlates of shared attention. His work increasingly integrates autism research with social cognition paradigms while maintaining core investigations into attentional orienting and agency perception. Bayliss actively contributes to the academic community through editorial roles at Psychological Review and Psychonomic Bulletin and Review, peer review activities, and consultancy work including the Social Neuroscience of Cinema Attendance project. He maintains international collaborations, notably with Paris Nanterre University. As Social Cognition Research Group Lead, he oversees a dynamic team investigating the neural and cognitive mechanisms underlying social interactions. His lab employs multimodal approaches to study real-time social processing, with recent work expanding into human-robot interaction and pandemic-related social adaptations.

Yongfeng Zhangمشاهده پروفایل

دانشیار

• Machine Learning
• Data Mining
• Information Retrieval
• +۸ مورد دیگر

Yongfeng Zhang is an Associate Professor in the Department of Computer Science at Rutgers University. He is also the Director of the AIOS Foundation . His research focuses on Machine Learning, Data Mining, Recommender Systems, and Explainable AI , with notable contributions to fair and personalized AI, AI for science, and social good. Education and Experience: PhD in CS (2011–2016) from Tsinghua University Postdoc at UMass Amherst (2016–2017) Joined Rutgers as Assistant Professor (2018), promoted to Tenured Associate Professor (2024) Research Interests: Machine Learning, Data Mining, Information Retrieval, Recommender Systems, Natural Language Processing, ML Systems, AI Agents, Explainable AI, Fairness, and AI for Science. Recent Achievements: Received the 2024 ACM SIGIR Test of Time Award, 2024 Presidential Teaching Excellence Award, and multiple NSF grants. He has advised over 15 PhD students and led projects on trustworthy AI, generative recommendation, and causal inference. Awards: 2024 ACM SIGIR Test of Time Award 2021 NSF CAREER Award 2015 Microsoft PhD Fellowship Grants & Labs: Led NSF grants on explainable AI, conversational recommendation, and neural-symbolic AI. Active in the AIOS platform development and multiple research labs.

• Robotics
• Control Systems
• Human-Robot Interaction
• +۳ مورد دیگر

Cristian Secchi is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia. His research focuses on robotics, control systems, and human-robot collaboration with an emphasis on safety, automation, and industrial applications. He teaches courses such as Industrial and Collaborative Robotics and Control of Robotic Systems. Research Interests: Design and implementation of control architectures for collaborative robots. Development of safe human-robot interaction frameworks compliant with ISO/TS 15066 standards. Integration of AI (e.g., large language models) into robotic motion planning. Autonomous systems for urban environments and surgical robotics. Publications highlight advancements in: Energy-efficient trajectory planning. Adaptive control strategies for uncertain environments. Multimodal human-robot communication. Diagnosis of mechanical systems via signal analysis. He leads the ARSControl research group and actively contributes to evolving production systems through smart modular technologies. His work bridges theoretical control frameworks with practical industrial and medical applications.

Lisa Miracchiمشاهده پروفایل

استادیار

• Philosophy of Mind
• AI Ethics
• Robotics Ethics
• +۴ مورد دیگر

Lisa Miracchi Titus is an Assistant Professor of Philosophy at the University of Denver, previously serving as an Associate Professor with tenure at the University of Pennsylvania. She is an IEEE Tech Ethics Ambassador and member of the IEEE SA Working Group on the Ethics of LAWS. Her research focuses on the nature of intelligence, AI ethics, and the integration of ethical considerations into AI development. She holds a Ph.D. in Philosophy (with a Cognitive Science certificate) from Rutgers University and an AB in Philosophy from Harvard. Her work bridges philosophy, cognitive science, robotics, and ethics, addressing questions about intelligent systems, agency, and ethical AI applications. She received an NEH grant for her book project on effective and ethical intelligence research, emphasizing feminist and social justice perspectives. Education: Ph.D. in Philosophy (Rutgers, 2014), A.B. in Philosophy (Harvard, 2009). Previous positions include Bersoff Assistant Professor at NYU and tenure-track roles at Penn. She is committed to academic diversity, having led wellness initiatives for graduate students and participated in LGBTQ+ advocacy. Her research also explores the ethical implications of AI’s feminization and the future of human-AI collaboration. Research Interests: Philosophy of AI, ethics of robotics, embodied cognition, and feminist approaches to technology. She advocates for interdisciplinary collaboration to ensure AI systems align with ethical, social, and cognitive science principles. Her current projects include the integration of ethical frameworks into AI design and the societal impacts of AI labor. Awards and Fellowships: National Endowment for the Humanities Grant (2022), NEH Fellowship (2021). Her work appears in journals like Journal of Philosophy , Philosophical Studies , and Frontiers in Neurorobotics . Labs and Collaborations: Affiliated with the GRASP Lab (Robotics) and MindCORE (Cognitive Science) at Penn, and now contributes to Denver’s interdisciplinary initiatives. She balances academic rigor with personal advocacy for mental health, wellness programs, and LGBTQ+ inclusion in academia.

• Cybersecurity
• Explainable AI (xAI)
• Machine Learning
• +۵ مورد دیگر

Aleksandra Pawlicka is a prominent researcher specializing in cybersecurity , explainable AI , and disinformation detection . Her work bridges ethical considerations with technical innovations in network security and AI applications , particularly focusing on the intersection of human-robot collaboration , fake news analysis , and IoT vulnerabilities . Key research areas: Cybersecurity Ethics, AI Explainability, Disinformation Mitigation Notable collaborations: Marek Pawlicki, Rafal Kozik, Michal Choras Her publications analyze xAI challenges in intrusion detection, machine learning for network security, and ethical dilemmas in cybersecurity. She contributes to projects like ULTIMATE (robotic AI) and SWAROG (fake news detection), emphasizing transparency and practical implementation. Recent work explores adversarial attacks against AI systems , few-shot learning for cybersecurity, and neuro-symbolic reasoning for trustworthy AI. Her 2023 study on ChatGPT's impact on scientific communication highlights evolving technological and ethical landscapes in academic practices.

Aurelien Baillonمشاهده پروفایل

استاد

• Behavioral Economics
• Decision Making Under Risk and Ambiguity
• Subjective Probability Elicitation
• +۱۲ مورد دیگر

Dr. Aurelien Baillon is a Professor of Economics of Uncertainty at the Erasmus School of Economics , Erasmus University Rotterdam, specializing in the Department of Applied Economics . His research focuses on individual decision-making under risk and ambiguity, combining empirical and theoretical approaches to understand probability elicitation and expert opinion aggregation. Key research areas: Behavioral Economics, Risk Attitudes, Bayesian Modeling Major projects: Bayesian Markets , Personal Model of Trumpery , Malakoff Humanis Chair His recent publications explore ambiguity theories , cybersecurity decision-making , and linguistic deception detection . Notable grants include the ERC Starting Grant (2016) and NWO Vidi Grant (2014). Collaborations span institutions like BRiO , HITS Institute , and GATE . The Datavisualization project with Alice Havrileck demonstrates his interdisciplinary approach to uncertainty analysis.

• Computer vision
• Machine learning
• Statistical data analysis
• +۳ مورد دیگر

Ceyhun Burak Akgül is a Part-Time Lecturer specializing in Computer Vision, Machine Learning, and Statistical Data Analysis. His research focuses on interdisciplinary applications of visual data processing, including medical imaging and 3D object recognition. He maintains a personal website at cba-research.com and can be contacted at cb.akgul@gmail.com . His work spans topics such as image captioning, visual dictionaries, and symbolic feature detection. Key contributions include developing algorithms for action recognition using depth cameras and frameworks for leaf and object recognition. His research also integrates medical applications, such as analyzing Alzheimer’s patient movements and automated diagnosis using imaging data. Akgül’s publications frequently address challenges in 3D shape descriptors, feature selection, and interdisciplinary methodologies. His recent work includes exploring visual dictionaries and improving image processing techniques through model-driven approaches. His academic contributions are evident in journals like the Journal of Visual Communication and Image Representation, and he has participated in competitions like SHREC. Despite his extensive publication record, no formal awards or grants are explicitly mentioned in the provided data.

• Ancient Greek Philosophy
• History of Technology
• Philosophy of Technology
• +۵ مورد دیگر

Leopoldo Iribarren is a Lecturer at the School for Advanced Studies in the Social Sciences (EHESS), Paris, and serves as Vice-President in charge of International Relations. He holds a PhD in philology and history of Greek philosophy from EHESS (2009) and has held postdoctoral fellowships at Harvard University (2011-12) and the Sorbonne (2013). His research focuses on ancient Greek conceptions of technology and their intersection with modern philosophical debates. He previously taught at Leiden University (2014-18). His research explores how ancient Greek thought addresses technology’s role in shaping human-nature relationships, labor systems, and instrumental rationality. He bridges learned discourses (poetry, philosophy) with artisan practices, analyzing their theoretical and practical gaps. He also examines modern thinkers like Hegel, Heidegger, and Stiegler to understand technology’s symbolic and instrumental dimensions. Key publications include *Fabriquer le monde* (2018), analyzing archaic Greek poetry’s cosmogonic visions, and articles on Hesiod, Parmenides, and Prometheus mythology. His work spans philosophy, anthropology, and literary analysis of ancient texts. Awards: None explicitly listed. Fellowships include Marie Curie (Sorbonne) and Harvard’s Center for Hellenic Studies. Teaching and advising: Leads ANHIMA (Anthropology and History of the Ancient Worlds). His courses integrate historical and modern perspectives on technology’s societal impacts.

Antoine Miechمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Natural Language Processing
• +۷ مورد دیگر

Antoine Miech is a Researcher at DeepMind's Vision Group , with prior affiliations at Inria and Ecole Normale Supérieure where he completed his computer vision Ph.D. under Ivan Laptev and Josef Sivic . He has collaborated with researchers from Facebook AI and Google during his academic career. Research Interests span video understanding, weakly-supervised machine learning, and multimodal analysis. His work focuses on: Text-video embedding Self-supervised video representation Action localization Anticipatory video modeling Scalable multimodal learning Scientific Contributions include: HowTo100M - A massive dataset of narrated instructional videos MIL-NCE - A novel loss function for video-text alignment MEE - A model for handling heterogeneous data Context Gating - Learnable pooling architecture Awards & Recognition : Google Ph.D. Fellowship (2018) Technical Leadership : Created the LOUPE TensorFlow toolbox for feature pooling and maintained annotated video dataset catalogs. Organized the Data Science Game competition (2016-2017).

Flora Salimمشاهده پروفایل

استاد

• Machine Learning
• Time-series Analysis
• Spatio-temporal Data Mining
• +۵ مورد دیگر

Flora Salim is a Professor in the School of Computing Technologies at RMIT University. She serves as co-Deputy Director of the RMIT Centre for Information Discovery and Data Analytics (CIDDA) and an Associate Investigator of the ARC Centre of Excellence in Automated Decision Making and Society. Her research focuses on human behavior modeling, machine learning with time-series and spatio-temporal data, and edge AI applications in IoT and wearables. Flora has secured over $10M in research funding from ARC, industry partners, and government bodies. Notable awards include the 2021 PACM IMWUT Distinguished Paper Award, 2019 Humboldt-Bayer Fellowship, and RMIT's 2018 Research Impact Award. She leads the CRUISE research group and has held visiting professorships at the University of Kassel and University of Cambridge. Editorial roles: Associate Editor of PACM on IMWUT, Area Editor of Pervasive and Mobile Computing Steering Committee member of ACM UbiComp Her work bridges ubiquitous computing and machine learning, with applications in urban analytics, mobility, and health monitoring. Recent projects include self-supervised learning for multimodal data and forecasting with heterogeneous time-series. Supervision areas: Deep learning for sensor data, explainable AI, and wearable-based emotion sensing Teaching programs: Master of Artificial Intelligence and Master of Data Science

Inês Cláudia Rijo De Carvalhoمشاهده پروفایل

مدرس

• Gender Studies in Tourism
• Cultural Tourism
• Language Tourism
• +۴ مورد دیگر

Inês Cláudia Rijo De Carvalho is a Lecturer at Universidade Europeia in Lisbon and serves as Research Coordinator at the Faculty of Social Sciences and Technology. She holds dual PhDs in Tourism (University of Aveiro) and Management (ISEG-Lisbon School of Economics), with a BSc in Modern Languages and Literatures (University of Coimbra) and an MSc in Tourism Management (University of Aveiro). She was a visiting scholar at Linköping University’s Gender Studies Unit in Sweden. Affiliated with CETRAD and GOVCOPP research centers, her work focuses on gender dynamics in tourism, cultural tourism, language tourism, and AI applications in the sector. She has conducted research on gender equality in tourism leadership and led projects funded by Portugal’s Foundation for Science and Technology. Her recent publications explore topics like chatbot applications in tourism, pandemic impacts on travel industries, and machine translation in traveler experiences. She has co-authored book chapters on women’s voices in tourism research and contributed to policy-oriented studies on tourism development. Education: BSc English/German Literature, MSc Tourism Management, PhD Tourism, PhD Management (ongoing) Key Research Themes: Gender & Tourism, Language Tourism, AI in Tourism, Cultural Heritage, Tourism Resilience Affiliations: CETRAD, GOVCOPP, Universidade Europeia Her research has been published in journals like Tourism Review, Anatolia, and Humanities and Social Sciences Communications. She actively participates in conferences such as the International Tourism Congress and THInC, addressing topics from emotional labor in hospitality to post-pandemic tourism strategies. Her work bridges academic rigor with practical insights for tourism policy and industry innovation.