جست‌وجوی استاد و پژوهشگر

Qijia Shaoمشاهده پروفایل

استادیار

• Mobile Computing
• HCI
• Ubiquitous Computing
• +۷ مورد دیگر

Qijia Shao is an Assistant Professor at The Hong Kong University of Science and Technology (HKUST), specializing in Mobile Computing, Human-Computer Interaction (HCI), and Ubiquitous Computing. He earned his Ph.D. in Computer Science from Columbia University (2024), advised by Prof. Xia Zhou and Prof. Fred Jiang, with prior degrees from Dartmouth College (M.Sc.) and UESTC (B.Sc.). His research focuses on developing unobtrusive systems for human physical/physiological signal sensing, integrating machine learning, signal processing, and hardware design to address societal challenges in healthcare, education, and human-computer interaction. Educational Background: Ph.D., Computer Science, Columbia University (2024) M.Sc., Dartmouth College B.Sc., UESTC Visiting Student, National Chiao Tung University (EECS) Research Assistant, Missouri S&T Research Interests: Deployable systems for human state analysis via physical/physiological signals (e.g., ECG, movement) Generalizable AI algorithms for low-overhead data interpretation Hardware-software co-design for imperceptible sensing Applications in healthcare (e.g., Kangaroo Mother Care monitoring), education, and consumer electronics Awards & Recognition: MobiSys 2024 Best Paper and Demo Awards NSF Funding & Rising Stars Honors ACM UbiComp Gaetano Borriello Award Finalist Editorial Board Member (ACM IMWUT, since 2024) Lab & Collaborations: Director of the Ubiquitous X Lab at HKUST Industry partnerships with Samsung, Snap, and Philips Research International conference TPC roles (MobiSys, SenSys) and keynote speaking engagements

Freek J. Beekmanمشاهده پروفایل

استاد

• Biomedical Imaging
• Nuclear Imaging
• Image Reconstruction Algorithms
• +۱۲ مورد دیگر

Prof. Freek J. Beekman is a Full Professor and head of the Biomedical Imaging section within the Department of Radiation Science & Technology at Delft University of Technology (TU Delft), Faculty of Applied Sciences. He is a leading figure in biomedical imaging, with extensive contributions to nuclear imaging technologies, including SPECT, PET, and CT. His research spans detector development, image reconstruction algorithms, hybrid photonic imaging, and the application of artificial intelligence in medical imaging. Research Interests: His work focuses on advancing imaging modalities through innovations in hardware (e.g., multi-pinhole collimators) and software (e.g., deep learning for attenuation correction). He has pioneered ultra-high-resolution imaging systems, particularly for preclinical and clinical SPECT, and has developed integrated platforms like U-SPECT-BioFluo. His recent research explores glymphatic delivery of nanoparticles, infection imaging, and AI-driven reconstruction techniques, reflecting a strong translational focus. Publication Trends: His most recent publications (2021–2023) emphasize deep learning in SPECT, multi-isotope imaging, high-resolution ex vivo systems, and applications in neuroimaging and oncology. The articles demonstrate a consistent focus on improving image quality, resolution, and clinical utility through physics-informed and AI-enhanced methods. Scientific Awards: NWO Physics Valorization Prize Innovation of the Year Award by the World Molecular Imaging Society (2015, 2018) Edward Hoffman Memorial Award (2017) Bruce Hasegawa Memorial Award (2021) FOM Valorization Award (2013) TU Delft Entrepreneurial Award (2010) Advising and Grants: While specific student names are not listed, his leadership in large collaborative projects and supervision of numerous publications suggests active mentoring. He has secured significant funding through national and international grants, evidenced by his invention of over 20 patent families and successful technology transfer. His founding and leadership of MILabs BV (sold to Rigaku) highlights his impact on commercialization and industry-academia collaboration. Labs and Teams: He leads the Biomedical Imaging research group at TU Delft, which develops cutting-edge imaging systems such as VECTor (SPECT-PET) and EXIRAD-HE. His teams have produced technologies used globally in academic and pharmaceutical research, contributing to tracer development and therapeutic innovation.

Haochen Liمشاهده پروفایل

استادیار

• Environmental Fluid Dynamics
• Computational Fluid Dynamics
• Physics-informed Machine Learning
• +۷ مورد دیگر

Haochen Li is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, within the College of Engineering. He leads the multidisciplinary Water Infrastructure Laboratory (Ψ Lab), which focuses on advancing urban water infrastructure through high-fidelity computational fluid dynamics (CFD), physical modeling, and physics-informed machine learning (ML). Education: PhD in Environmental Engineering, University of Florida, 2019 MS in Mechanical Engineering, University of Florida, 2019 MS in Civil Engineering, University of Florida, 2015 BS in Coastal Engineering, Hohai University, 2013 His research centers on environmental fluid dynamics , particularly multiphase and multiphysics flows in urban water systems. He investigates turbulence, particulate matter transport, pathogen fate, and chemical dynamics using advanced CFD simulations, volumetric particle image velocimetry (PIV), and AI-driven models. His lab develops open-source tools like InterAdsFoam for adsorption systems and integrates ML with CFD to optimize infrastructure design, retrofit, and regulatory frameworks. The recent publications reflect a strong trend toward hybrid CFD-ML frameworks for water infrastructure, with applications in clarifier design, stormwater basin optimization, and real-time sensing. His work emphasizes model validation, scalability, and practical deployment, including web-based tools for engineers. Scientific Awards: Rudolph Hering Medal, ASCE, 2023 Editor choice, Journal of Environmental Engineering ASCE, 2021 Editor choice, Journal of Environmental Engineering ASCE, 2020 Graduate School Fellowship, University of Florida, 2015 Academic Achievement Award, University of Florida, 2013 Haochen Li actively advises researchers and students in his lab, including Kai Liu, Mohamed Shatarah, and Ahmed Abdelmeguid. His team works on AI-empowered reactive flows, physics-informed ML, and CFD applications in energy and environmental systems. He has served as a reviewer for top journals and is a member of the ASCE/EWRI Computational Fluid Dynamics Committee. His lab is equipped with state-of-the-art HPC platforms and physical modeling facilities for experimental validation.

Marco Valtortaمشاهده پروفایل

استاد

• Artificial Intelligence
• Bayesian Networks
• Causal Inference
• +۵ مورد دیگر

Marco Valtorta is a Professor and Graduate Director in the Department of Computer Science and Engineering at the University of South Carolina’s Molinaroli College of Engineering and Computing. He specializes in Artificial Intelligence, with a focus on normative reasoning under uncertainty, Bayesian networks, causal models, and computational complexity. His work includes developing algorithms for structure learning in graphical models, causal inference, and applications in multiagent systems. Education: Ph.D., Computer Science, Duke University (1987) M.A., Computer Science, Duke University (1984) Laurea, Electrical Engineering, Politecnico di Milano (1980) Research Interests: Dr. Valtorta’s work integrates logical and probabilistic reasoning, with contributions to causal models, chain graphs, and adversarial machine learning. His funded projects include collaborations with the Office of Naval Research (ONR), IARPA, and the U.S. Department of Agriculture (USDA). Notable collaborations include applying Bayesian networks to healthcare and developing frameworks for trustworthiness assessment in AI systems. Grants & Collaborations: Multi-institution IARPA project on Wigmorean/Bayesian networks for argumentation ONR-funded research on Markov properties of directed hypergraphs with Dr. Linyuan Lu Causal analysis for performance modeling of configurable systems His recent publications emphasize causal inference in AI, automated evaluation of text and sentiment analysis systems, and robustness of foundation models. He has pioneered algorithms for learning chain graphs and addressing adversarial attacks in probabilistic models.

Yang Wangمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Yang Wang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University, holding an adjunct position since 2022. Previously, he served as an Associate Professor at the University of Manitoba (2012–2022) and worked as Chief Scientist in Computer Vision at Huawei Canada (2020–2022). He holds a PhD from Simon Fraser University, MSc from the University of Alberta, and BEng from Harbin Institute of Technology. His research focuses on computer vision, machine learning, and deep learning, particularly in meta-learning, test-time training, and continual learning. Key areas include crowd counting, anomaly detection, video highlight detection, and gaze estimation. His work has been recognized with awards such as the Falconer Emerging Researcher Rh Award (2017) and a Faculty of Science Research Chair (2019–2022). Recent research emphasizes AI models that are personalized and adaptable, leveraging techniques like meta-learning and few-shot learning. He has published extensively in top venues (CVPR, ICCV, ECCV) and holds patents in related fields. His group collaborates with industry partners like Huawei and Sightline Innovation.

• Maritime safety management and leadership
• Maritime accident and casualty analysis
• Maritime Autonomous Surface Ships (MASS)
• +۳ مورد دیگر

Tae Eun Kim is an Associate Professor in Maritime Safety Management at UiT The Arctic University of Norway, working within the Department of Technology and Security. Her research, teaching, and industrial collaboration focus on maritime safety and human factors, with particular expertise in maritime safety management, accident analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. Dr. Kim's research spans four interconnected domains: maritime safety management and leadership, maritime accident and casualty analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. She has developed assessment instruments like the Safety Leadership Self-Efficacy Scale (SLSES) and conducted STAMP-based causal analyses of maritime accidents. Her work on MASS addresses safety challenges in mixed navigational environments and examines leadership competencies for autonomous shipping operations. Her human factors research explores how technological advancements impact navigators' performance, crew dynamics, and safety outcomes, including gender parity issues in the maritime industry. Dr. Kim's publication record reveals a strong focus on the intersection of maritime safety, technology, and human performance. Her recent work increasingly addresses autonomous shipping technologies, with numerous publications on AI decision transparency, learning analytics in maritime simulator training, and multi-modal data analysis for nautical skill development. She has conducted systematic reviews on simulator training approaches and scenario design, contributing significantly to methodology development in maritime education and training. Her research demonstrates a clear trajectory toward integrating emerging technologies with traditional maritime safety practices as the industry transitions toward greater automation. Dr. Kim is actively involved in several significant research projects, including the i-MASTER EU Horizon Europe Research and Innovation Project, the REFRAME project, and the SPRICE project (Multidisciplinary approach for spray icing modelling). She is a member of both the Advanced Maritime Ship Operations research group and the Maritime Safety Science (MARSCI) Research Group, demonstrating her commitment to collaborative research in maritime safety science. Dr. Kim teaches several specialized courses at UiT, including SVF-3206 Safety Management and Accident Investigation, TEK-3014 Navigation Technology, MFA-2100 Maritime Digitalization, MFA-8010 Maritime HTO (Human-Technology-Organisation) and Innovation, and MFA-2018 Maritime Administration and Leadership. Her teaching portfolio reflects the interdisciplinary nature of her expertise, bridging engineering, safety science, and organizational behavior in maritime contexts.

• Antenna Design
• Microwave Engineering
• Dielectric Materials
• +۲ مورد دیگر

Wolfgang Bösch is a Professor at Graz University of Technology's Institute of Microwave and Photonic Engineering, specializing in advanced RF components and measurement techniques. His research advances high-frequency systems through innovations in antenna technology and electromagnetic theory. Research domains include: metamaterial-based antennas, precision measurement calibration, microwave filter optimization, and 3D-printed RF components. Recent work demonstrates strong focus on millimeter-wave systems and reconfigurable antenna arrays. Publications highlight expertise in: machine learning for filter design, metasurface applications, PCB transitions for high-frequency systems, and uncertainty quantification in RF engineering. Research consistently addresses miniaturization and performance optimization challenges. Awards recognize contributions to measurement science and antenna design: Fellow of IET, Houska Prize, and best paper awards. Current laboratories investigate liquid crystal antenna systems and error calibration methodologies for next-generation wireless systems.

Robert T. Mullerمشاهده پروفایل

استاد

• Trauma Treatment
• Interpersonal Trauma
• Attachment Theory
• +۳ مورد دیگر

Robert T. Muller, Ph.D., is a Professor in the Department of Psychology at York University, Toronto, within the Faculty of Health. He holds a postdoctoral fellowship from Harvard and previously served on faculty at the University of Massachusetts. His research focuses on trauma treatment, interpersonal trauma, and attachment theory, leading collaborative studies with institutions like the Traumatology Institute and Homewood Hospital. He is the 2024 recipient of the Pierre Janet Award and a 2019 Written Media Award-winning author. Muller founded The Trauma & Mental Health Report, an online publication with 100,000+ annual readers. He advises eight graduate students in the Trauma & Attachment Lab and lectures internationally. Clinical practice and workshops in trauma therapy, including upcoming sessions in 2025, reflect his 30+ year career. Research interests include trauma therapy outcomes, family-based emotion-focused interventions, and LGBTQ+ trauma recovery. He has published extensively on programs like the Healthy Coping Program for Abused Children and Women Recovering from Abuse. Awards recognize his contributions to trauma scholarship and clinical strategies. Media engagements include features on Very Well Mind, Business Insider, and CBC interviews. Books such as Trauma and the Avoidant Client and Trauma and the Struggle to Open Up are translated globally. Professional affiliations with scientific societies and clinical development initiatives underscore his leadership in mental health.

Guerino Mazzolaمشاهده پروفایل

استاد

• Mathematical Music Theory
• Musical Creativity
• Gesture Theory
• +۶ مورد دیگر

Guerino Mazzola is a Professor of Creativity, Improvisation, and Mathematical Music Theory at the School of Music, University of Minnesota. His academic career includes a PhD in Mathematics from Zurich University and postdoctoral work at Paris-Sud and Rome. He has been a key figure in developing mathematical music theory since 1980, authoring influential books such as The Topos of Music (2002) and Cool Math for Hot Music (2016). Education: PhD in Mathematics (Zurich University), Habilitation in Algebraic Geometry (1980), and Computational Sciences (1993). Research Interests: Mathematical foundations of music, gesture theory, performance analysis, computational musicology, and interdisciplinary creativity. Notable contributions include the Rubato software for performance analysis and the development of gesture theory applied to free jazz. He has received awards such as the Mexican Mathematical Society Medal (2000) and has been a visiting professor at prestigious institutions like the École Normale Supérieure in Paris. Teaching spans advanced courses on gesture theory, performance science, and music informatics, with a focus on bridging mathematical rigor and artistic creativity.

• Development Economics
• Experimental Economics
• Asymmetries in Information
• +۳ مورد دیگر

Alessia Isopi is a Senior Lecturer in Economics at the University of Manchester, where she has been since 2011. She holds a PhD from Università di Roma 'Tor Vergata' and a bachelor's degree from LUISS 'Guido Carli' University in Rome. Her research focuses on Development Economics, Asymmetries in Information, and Experimental Economics, with particular attention to topics such as market structures, property rights, and international aid allocation. She teaches Development Economics at both undergraduate and postgraduate levels. Her research explores critical issues like the origins of organized crime through economic lenses, the impact of consultation processes on decision-making, and the mechanisms behind donor-NGO funding dynamics in developing countries. Recent work includes studies on Nigerian polygamous households' resource allocation and Ugandan NGO funding patterns. Dr. Isopi has contributed to UN Sustainable Development Goals related to poverty reduction and equitable development. Her work spans 15+ peer-reviewed articles and working papers, with notable contributions in journals like Theory and Decision and Review of International Organizations . Her research has been highlighted in media outlets such as The Conversation, reaching broader audiences.

Marjorie Harness Goodwinمشاهده پروفایل

استاد پژوهشی

• Ethnography of communication
• Embodied human interaction
• Conversation analysis
• +۵ مورد دیگر

Marjorie Harness Goodwin is a Distinguished Research Professor in the Department of Anthropology at the University of California, Los Angeles (UCLA). Her research focuses on linguistic anthropology, particularly the embodied practices of human interaction in social, familial, and workplace contexts. She explores how language, touch, and environment shape social dynamics, morality, and cultural integration. Education: Ph.D., University of Pennsylvania (1978) Ph.D. Honoris Causa, Uppsala University (2014) Research Interests: Ethnography of communication Embodied interaction and touch Conversation analysis Language and gender Family and workplace ethnography Children's social organization Publications: Dr. Goodwin’s work includes monographs like *The Hidden Life of Girls* (2006) and *Embodied Family Choreography* (2018), alongside influential articles on haptic sociality and interactional analysis. Recent research emphasizes touch as a modality of care and social coordination, with interdisciplinary impact in anthropology, sociology, and healthcare. Awards: Ph.D. Honoris Causa, Uppsala University (2014) Advising & Grants: She has mentored numerous graduate students across Anthropology, Applied Linguistics, and Education. Her research has been presented globally, including the New York Academy of Sciences Distinguished Lecture Series (2022) and the Vectors Conference (2023). Labs & Teams: Her work is supported by UCLA’s Social Sciences Division and collaborations with interdisciplinary groups like the Colab Anthropology Lab (linked via her personal and lab websites).

Robert Xiaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۴ مورد دیگر

Robert Xiao is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Designing for People research cluster. He holds a Ph.D. from Carnegie Mellon University and a BMath from the University of Waterloo. His research focuses on interactive technologies, including VR/AR interfaces, sensing systems, and cybersecurity. Notable contributions include Lumitrack (tracking system), TouchTools (touch interaction), and CVE-2023-37271 (Python sandbox exploit). Education: Ph.D., Human-Computer Interaction Institute, Carnegie Mellon University; BMath, Computer Science & Combinatorics, University of Waterloo Affiliations: Core member of UBC's Designing for People cluster Research interests span novel input modalities, mixed-reality systems, and security challenges. He actively competes in DEF CON CTF (multiple 1st places) and publishes in top venues like CHI, UIST, and ISMAR. Recent work explores VR decision-making, low-latency tracking, and collaborative AR/VR environments. Awards: SIGCHI Outstanding Dissertation Award, CHI Honorable Mention, DIS Honourable Mention Teaching includes courses on computer systems (CPSC 213), human-computer interaction (CPSC 554X), and cybersecurity (CPSC 436S). His lab develops tools like SurfShare (surface sharing) and VirtualNexus (collaborative AR).

Danfeng Wuمشاهده پروفایل

پژوهشگر ارشد

• syntax-semantics interface
• syntax-prosody mapping
• ellipsis
• +۸ مورد دیگر

Dr. Danfeng Wu is a Research Fellow at Magdalen College, University of Oxford, conducting interdisciplinary research in syntax-semantics and syntax-prosody mappings. Her work focuses on ellipsis, focus in coordination, and the empirical interplay between syntactic structure and prosody, employing experimental phonetic methods. She investigates languages like English and Mandarin Chinese to explore the cognitive and computational aspects of linguistic structure. Her research themes include phonetics, prosody, semantics, and syntax, with a particular emphasis on how syntactic configurations interact with prosodic phrasing and stress patterns. She has contributed to studies on corrective constructions, clitic climbing in Wolof, and vowel lengthening in Zulu, demonstrating a broad methodological approach combining theoretical linguistics with experimental and computational methods. Dr. Wu is affiliated with the Phonetics Lab and Language & Brain Lab within the Faculty of Linguistics, Philology & Phonetics. She has organized interdisciplinary events such as the Oxford workshop on AI language models and developed linguistics courses for computer scientists and cognitive scientists at MIT. Her work bridges formal linguistics with cognitive science and computational linguistics, emphasizing realistic models of language acquisition and evolution.

Bruce N. Walkerمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Auditory Displays
• Data Sonification
• +۷ مورد دیگر

Professor Bruce N. Walker holds a joint appointment in the School of Psychology and School of Interactive Computing at Georgia Institute of Technology, within the College of Sciences. His research focuses on human-centered technology design, emphasizing accessibility, auditory displays, and human-AI interaction. He leads the Sonification Lab, pioneering multimodal interfaces and inclusive technology solutions. He earned his Ph.D. in Human Factors and Human-Computer Interaction from Rice University in 2001. Research Interests: Trust in technology, accessible interfaces, sonification, AI-human collaboration, and HCI in non-traditional environments. Current projects include the AccessCORPS VIP initiative to enhance course accessibility and studies on automated vehicle interaction. Awards: Best Paper Award at AudioMostly 2014 for auditory weather reports research. Active in professional organizations like the International Community for Auditory Display and Human Factors and Ergonomics Society. Teaching: Courses include Research Methods for Human Factors, Sensation and Perception, and HCI Foundations. Supervises interdisciplinary teams in the Sonification Lab R&D Studio and AccessCORPS VIP. Labs/Teams: Sonification Lab (multimodal data exploration) and AccessCORPS (disability-inclusive course design). Collaborates on international projects like the Mwangaza initiative for learners with vision impairment in Kenya.

Rajeev Sahayمشاهده پروفایل

استاد آموزشی

• Machine Learning
• Wireless Communications
• Networking
• +۴ مورد دیگر

Rajeev Sahay is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at the University of California San Diego (UCSD), affiliated with the Jacobs School of Engineering. He holds a Ph.D. and M.S. from Purdue University (2022 and 2021) and a B.S. from the University of Utah (2018). Prior to UCSD, he worked as a Senior Machine Learning Software Engineer at Saab, Inc., and taught courses at Purdue, earning the Purdue Engineering Dean’s Teaching Fellow award in 2021. His research bridges machine learning and networking, focusing on social learning networks (SLNs) for personalized education and robust wireless communications in adversarial environments. Key areas include federated learning for privacy preservation, adversarial attack mitigation, and next-generation 6G wireless systems. His work emphasizes data-driven methodologies to enhance learning outcomes and secure communication networks against vulnerabilities. Dr. Sahay’s teaching spans undergraduate and graduate courses in machine learning, data science, and programming languages (C/C++/Python), with a passion for tailoring curricula to student needs. His publications reflect expertise in federated learning, adversarial defense mechanisms, and signal processing, with recent contributions to AI-assisted education and robust wireless systems. Scientific Awards: Purdue Engineering Dean’s Teaching Fellow (2021) Teaching and Research Interests: Machine Learning Pedagogy Adversarial Robustness in ML Systems Federated Learning Applications Social Learning Network Analysis 6G Wireless Communication Security