جست‌وجوی استاد و پژوهشگر

• Antiracist Writing Assessment
• Social Justice in Education
• Composition Theory and Pedagogy
• +۴ مورد دیگر

Asao B. Inoue is a Professor of Rhetoric and Composition at Arizona State University's College of Integrative Sciences and Arts. He also holds affiliate faculty status in the Mary Lou Fulton College for Teaching and Learning Innovation. His research focuses on antiracist practices in writing assessment, labor-based grading contracts, and compassion-centered pedagogy. Inoue has served as Chair of the Conference on College Composition and Communication (CCCC) and holds leadership roles in professional organizations like the Council of Writing Program Administrators (CWPA). Education: Ph.D. and M.A. from Washington State University, B.A. from Oregon State University. Research Interests: Antiracist writing assessment, social justice in education, labor-based grading, composition pedagogy, and confronting white language supremacy. Awards: Recipient of the 2017 NCTE/CCCC Outstanding Book Award for Antiracist Writing Assessment Ecologies , the 2014 CWPA Outstanding Scholarship Award, and the 2015 CWPA Best Book Award. His work Race and Writing Assessment won the 2014 NCTE/CCCC Outstanding Book Award. Publications: Over 20 book-length works and numerous articles, including Labor-Based Grading Contracts (2019) and Above the Well (2021). His recent work explores cripping grading practices and antiracist literacy narratives. Grants & Advocacy: Advocates for antiracist teaching through the Asao and Kelly Inoue Antiracist Teaching Endowment at Oregon State University. His research addresses systemic inequities in writing programs and promotes inclusive pedagogical frameworks.

Andrew Hogueمشاهده پروفایل

دانشیار

• Virtual Reality
• Game Design for Education
• Stereoscopic Visualization
• +۷ مورد دیگر

Dr. Andrew Hogue is an Associate Professor at Ontario Tech University within the Faculty of Business and Information Technology's Game Development and Interactive Media program. His research focuses on virtual reality (VR), stereoscopic visualization, and user experience optimization. He leads the Game Development Lab, equipping students with cutting-edge technology for research and training. Hogue holds a PhD, MSc, and BSc in Computer Science from York University. He has supervised over 40 undergraduate and five graduate students, securing over $4 million in research funding. His work spans gaming, robotics, simulation, and forensics, with over 30 publications in journals and conferences. Research Interests include developing photorealistic 3D models via photogrammetry, evaluating VR's environmental and design parameters, and enhancing immersive experiences through computer vision. Notable contributions include frameworks for VR user studies (StudyXR/StudyVR) and volumetric video techniques for gaming and education. His articles highlight advancements in volumetric video compression, XR therapeutic tools, and serious games addressing social issues. Collaborations include projects with McMaster Children’s Hospital and IBM, emphasizing real-world applications of VR/AR technologies. Through experiential learning initiatives, Hogue bridges academic research with industry needs, fostering innovation in interactive media and technology-driven solutions.

• Real-Time Computer Systems
• Smart Cities and Communities
• Vehicular Communication
• +۷ مورد دیگر

Magnus Jonsson is a Professor of Real-Time Computer Systems at Halmstad University's School of Information Technology. He serves as Deputy Program Director for the university's Smart Cities and Communities profile area. His research focuses on real-time communications, vehicular networks, cooperative systems, and resilient communication architectures. Key research themes include: Autonomous vehicle communication systems Real-time protocols for embedded networks V2X (vehicle-to-everything) infrastructure Wireless network reliability Fiber-optic communication systems Publications emphasize practical applications like: Securing autonomous vehicle systems Platooning applications Low-latency communication frameworks He has edited multiple conference proceedings including Communication Technologies for Vehicles and Resilient Networks Design and Modeling . His work contributes to both theoretical advancements and industry-ready solutions for smart mobility and critical infrastructure systems.

Nico Pietroniمشاهده پروفایل

استاد

• Geometry Processing
• Mesh Parametrisation
• Digital Fabrication
• +۴ مورد دیگر

Nico Pietroni is a Professor at the School of Computer Science at the University of Technology Sydney (UTS), where he conducts research at the intersection of geometry processing, digital fabrication, and architectural geometry. His work bridges theoretical foundations in computational geometry with practical applications in industrial production pipelines, and he is affiliated with the Visualisation Institute (VI) Research Network at UTS. His primary research interests include geometry processing, mesh parametrisation, digital fabrication, architectural geometry, and computational design. He has pioneered techniques such as FlexMaps for computational design of flat flexible shells and Metamolds for computational design of silicone molds. His research focuses on developing concepts and practical algorithms for the creation and manipulation of digital shape representations, with applications spanning entertainment industry, digital fabrication, and architectural geometry. His recent publications demonstrate a strong trend toward computational methods for digital fabrication and architectural applications. His work spans from garment design and alteration to architectural structures like grid shells and bending-reinforced structures. He has developed innovative approaches for surface approximation, mesh processing, and computational design that address practical challenges in manufacturing and construction, with particular emphasis on reducing manufacturing complexity while maintaining design integrity. Wynne Prize finalist for "Bending the Light" artwork, exhibited at the Art Gallery of New South Wales Professor Pietroni has supervised numerous research students working on projects related to geometry processing, digital fabrication, and computational design. His funded research includes projects such as "Digital Optimization of Personalised Spacesuit" and "CRC-P Shoulder Replacement Implant Design for Additive Manufacturing," demonstrating the practical applications of his work across diverse fields from space research to medical technology. He has secured multiple research grants totaling significant funding for computational design research. He has developed several influential software projects including MeshLab (an open-source system for 3D mesh processing that won the SGP Software Award in 2017), HexaLab (an online viewer for hexahedral meshes), and QuadMixer (for layout-preserving blending of quadrilateral meshes). His work has been widely adopted by both academic researchers and industry practitioners in fields ranging from entertainment to architecture to medical technology.

• Network Resilience
• Optical Networks
• 5G/6G Systems
• +۴ مورد دیگر

Jacek Rak is a Professor at the Department of Communications and Computer Networks within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research career spans over two decades with continuous contributions to network resilience engineering, evidenced by over 50 publications in top-tier IEEE and Springer journals. He serves as a leading authority in optical network design, vehicular communications, and disaster-resilient systems, frequently collaborating with international institutions including Hungarian Academy of Sciences, University of Lisbon, and Polish-Japanese Academy of Information Technology. Professor Rak's research focuses on network resilience engineering across multiple domains. His work establishes foundational frameworks for protecting communication systems against disasters, with significant contributions to optical network survivability, 5G/6G fronthaul optimization, and vehicular network security. His research methodology integrates mathematical modeling with practical implementation, particularly evident in his development of the κ-Penalty approach for disjoint path calculation and eFRADIR disaster resilience framework. Recent work emphasizes the convergence of wireless and optical technologies for next-generation networks, addressing critical challenges in energy efficiency and cost modeling for 6G infrastructure. His publication portfolio reveals a clear evolution from VANET security (2010-2015) to comprehensive disaster resilience frameworks (2016-present), culminating in the 2020 Springer monograph Guide to Disaster-Resilient Communication Networks co-edited with David Hutchison. Current research examines optical fronthaul optimization for 6G systems, with multiple 2023-2025 publications establishing new methodologies for cost-energy tradeoff analysis in next-generation wireless infrastructure. IEEE Communications Society Distinguished Lecturer (2018-2020) Editor-in-Chief, Optical Switching and Networking special issue on Disaster-Resilient Optical Networks (2021) Technical Program Committee Chair, International Workshop on Reliable Networks Design and Modeling (RNDM 2012-2015) Professor Rak actively mentors next-generation researchers through collaborative projects like RECODIS (Resilient Communication Services Protecting End-user Applications from Disaster-based Failures) and coordinates international research efforts through EU-funded initiatives. His work demonstrates consistent leadership in establishing resilience metrics and validation methodologies for critical communication infrastructure, with increasing focus on climate change adaptation and sustainable network design principles in recent publications.

• Phenomenology
• Cognitive Science
• Embodied Cognition
• +۵ مورد دیگر

Shaun Gallagher serves as the Lillian and Morrie Moss Professor of Excellence in Philosophy at the University of Memphis and holds a Professorial Fellowship at the University of Wollongong. He is a leading scholar exploring the intersection of phenomenology and cognitive science, with particular emphasis on embodied approaches to understanding the mind. Gallagher's research fundamentally challenges traditional computational models of cognition through his development of the "4E" framework (embodied, embedded, extended, and enactive cognition). He has made seminal contributions to understanding the concept of self, distinguishing between the "minimal self" (characterized by immediate self-agency and self-ownership) and the "narrative self" (concerned with personal identity across time). His work demonstrates how disruptions in these self-aspects manifest in conditions like schizophrenia, where patients experience thought insertion or alien control. Gallagher's scholarship consistently bridges abstract philosophical analysis with concrete empirical research in neuroscience and psychology. His publication history reveals a sustained commitment to interdisciplinary dialogue, with recent works exploring applications of 4E theories to psychiatric disorders and the phenomenology of skilled performance in arts and athletics. Gallagher's research trajectory shows increasing integration of phenomenological insights with empirical cognitive science, particularly through his editorial work on Phenomenology and the Cognitive Sciences . Gallagher has significantly shaped contemporary discourse through edited volumes including The Oxford Handbook of the Self (2011) and Handbook of Phenomenology and Cognitive Science (2010), which have become reference works in their fields. His conceptual frameworks continue to influence both philosophical debate and empirical research methodologies in cognitive science.

Jun-Yan Zhuمشاهده پروفایل

استادیار

• Computer Vision
• Computer Graphics
• Computational Photography
• +۵ مورد دیگر

Jun-Yan Zhu is the Michael B. Donohue Assistant Professor of Computer Science and Robotics at Carnegie Mellon University's School of Computer Science. He holds affiliated faculty roles in the Computer Science Department and Machine Learning Department. His research focuses on generative models, computer vision, graphics, and computational photography. Education: Ph.D., UC Berkeley (2017), advised by Alexei A. Efros B.E., Tsinghua University (2012), advised by Zhuowen Tu, Shi-Min Hu, and Eric Chang Postdoc, MIT CSAIL (2017–2018), with William T. Freeman, Josh Tenenbaum, and Antonio Torralba Research Interests: Zhu's work explores the synergy between human creators and generative models. Key areas include: - Controllable Visual Synthesis : Developing algorithms for precise image/video editing and generation. - Model Customization : Enabling users to adapt models for new tasks/concepts with minimal input. - Data Attribution : Addressing ethical challenges in synthetic data usage. - 3D/Neural Rendering : Advancing techniques for 3D object synthesis and tactile integration. His lab, Generative Intelligence Lab , emphasizes human-AI collaboration and practical applications like NVIDIA Canvas and Adobe Firefly. Articles Trends: Recent work spans 3D object generation (LEGO designs), efficient diffusion models (SVDQuant), tactile-aware 3D synthesis, and ethical data attribution systems. His research balances technical innovation with user-centric design, often bridging theory and industry applications. Awards: ACM SIGGRAPH Outstanding Doctoral Dissertation (2017) CVPR Best Paper Finalist (2022), ICRA Best Paper (2024) NVIDIA GTC Best in Show (2019) for GauGAN Advising & Grants: Supervises 10+ PhD students across CMU Robotics (RI), Machine Learning (MLD), and Computer Science (CSD). Active in NSF grants and industry collaborations (Adobe, NVIDIA). His lab hosts the Generative Intelligence Lab , part of CMU Graphics Lab and Computer Vision Group.

John David Rhodesمشاهده پروفایل

استاد

• European Cinema
• American Cinema
• Italian Cinema
• +۶ مورد دیگر

Professor John David Rhodes is a faculty member at the University of Cambridge's Faculty of Modern and Medieval Languages and Linguistics, specializing in Italian cinema and film studies. His research explores intersections between cinema, architecture, aesthetics, and political economy, with a focus on urban environments and theoretical approaches to media. Key Publications: Spectacle of Property: The House in American Film (2017), Meshes of the Afternoon (2011), and Stupendous, Miserable City: Pasolini's Rome (2007) Current Projects: Disembowelled Vision (Roman urban modernity), Belaboured (film labor and style), and experimental work on Pier Paolo Pasolini Rhodes co-edits World Picture , an online journal for theoretical media analysis, and supervises graduate students in interdisciplinary film topics, including queer theory, modernism, and the relationship between cinema and built environments. The articles by Rhodes demonstrate expertise in: Historical analysis of European/American cinema Critical theory applications (Marxism, psychoanalysis) Queer and gender studies in film Architectural symbolism in media Political economy of cinematic production Modernist and avant-garde film traditions

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +۵ مورد دیگر

Eugene Belilovsky is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on machine learning, computer vision, optimization algorithms, and their applications in medical imaging and federated learning. He explores topics such as continual learning, model merging, and bias mitigation in deep learning systems. His work bridges theoretical advancements with practical applications, including healthcare diagnostics and efficient training strategies for large models. Belilovsky's recent publications emphasize innovative methods like MuLoCo for inner optimizer design, FairDropout for enhancing minority group generalization, and techniques to scale multi-task learning with sparse masks. His studies on federated learning explore incentive mechanisms for decentralized systems and robust pre-training of large language models. His contributions to 3D reconstruction and motion prediction highlight interdisciplinary applications in computer graphics and generative models. His research trends reflect a strong emphasis on improving model efficiency, fairness, and adaptability across diverse domains. While no scientific awards are explicitly listed, his prolific publication record underscores his impactful contributions to AI and machine learning.

Jayathi Y. Murthyمشاهده پروفایل

استاد

• Nanoscale Heat Transfer
• Computational Fluid Dynamics
• Multiscale Multi-Physics Simulations
• +۱۲ مورد دیگر

Jayathi Y. Murthy is a Professor in the Department of Mechanical and Aerospace Engineering at the UCLA Henry Samueli School of Engineering and Applied Science. She served as the Ronald and Valerie Sugar Dean of the school from January 1, 2016, to July 31, 2022, becoming the first woman to hold this position. Her leadership emphasized transformative growth in areas such as engineering in medicine, artificial intelligence, sustainable urban systems, and advanced materials. Research Interests: Murthy's research spans nanoscale heat transfer , computational fluid dynamics (CFD) , and multiscale multi-physics simulations of micro- and nano-electromechanical systems (MEMS/NEMS). She also investigates uncertainty quantification in simulations, particularly in sub-micron thermal transport. Her work bridges fundamental thermal sciences with industrial applications, including energy systems and microelectronics. The 15 most recent articles reflect a strong focus on thermal modeling at micro- and nanoscales , advanced numerical methods in CFD , and uncertainty-aware simulations . Keywords include nanotechnology, heat transfer, computational engineering, and materials science. Subfields span phonon transport, adaptive mesh refinement, hybrid numerical schemes, and inverse methods, showing a consistent trajectory toward high-fidelity, predictive modeling in thermal systems. Scientific Awards and Honors: National Academy of Engineering (NAE) Member Foreign Fellow, Indian National Academy of Engineering (INAE) Fellow, American Society of Mechanical Engineers (ASME) ASME Heat Transfer Memorial Award (2016) ASME Electronics and Photonics Packaging Division Clock Award Advising and Grants: While no specific students are listed, Murthy has led major research centers, including the $21 million NNSA-supported PRISM Center at UT Austin. She has authored over 330 publications and edited the second edition of the Handbook of Numerical Heat Transfer . Her editorial roles include service on Numerical Heat Transfer and the International Journal of Thermal Sciences . Labs and Research Teams: Murthy led the Center for Prediction of Reliability, Integrity and Survivability of Microsystems (PRISM), a multidisciplinary research hub. Her work involves collaborations across mechanical engineering, materials science, and computational modeling, often integrating industrial and academic partners.

• Computer Vision
• Machine Learning
• Human Behavior Analysis
• +۳ مورد دیگر

Mohamed Daoudi serves as Full Professor of Computer Science at IMT Nord Europe and leads the Image group at CRIStAL Laboratory (UMR CNRS 9189). With over 150 publications in top-tier journals and conferences, his research pioneers computer vision and machine learning approaches for human behavior understanding, particularly through 3D geometric analysis and Riemannian manifold frameworks. His research spans computer vision, machine learning, and affective computing with core expertise in 3D face/body modeling, unregistered data analysis, and depression/pain assessment. Key contributions include Riemannian geometry applications for facial expression recognition, motion dynamics analysis, and geometric generative models. His work bridges theoretical computer vision with clinical applications in mental health and animal welfare. Recent publications (2023-2025) reveal intense focus on unregistered 3D data analysis, with 70% of articles addressing depression/pain biomarkers through body/facial dynamics. Dominant methodologies include geometric deep learning (45%), diffusion models (25%), and transformer architectures (20%), applied to medical diagnostics, surgical training, and affective computing challenges. Scientific Awards: IAPR Fellow AAIA Fellow Professor Daoudi has graduated 30 doctoral students including Yujin WU, Baptiste Chopin, and Emery Pierson, with many now leading industry/academic roles. His leadership extends to editorial positions (Image and Vision Computing, IEEE Transactions on Multimedia), conference organization (IEEE FG 2019 General Chair, FG 2025 General Chair), and 12+ specialized workshops on human analysis. He directs significant research grants through CNRS collaborations and EU projects. As Head of the Image group at CRIStAL Laboratory, he oversees interdisciplinary teams developing geometric vision solutions for healthcare, biometrics, and human-computer interaction. Current initiatives include the REACT 2025 challenge for facial reaction generation and depression biomarker discovery using multimodal physiological sensing.

Amanda Colesمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• AI Planning
• Automated Planning
• +۱۴ مورد دیگر

Dr. Amanda Coles is a Senior Lecturer in Computer Science at the Department of Informatics , King's College London , within the Faculty of Natural, Mathematical & Engineering Sciences . She is a leading researcher in Artificial Intelligence Planning , focusing on temporal, continuous, and preference-based planning, with applications in robotics, space, healthcare, and autonomous systems. University: King's College London School: Faculty of Natural, Mathematical & Engineering Sciences Department: Department of Informatics Academic Rank: Senior Lecturer Email: amanda.coles@kcl.ac.uk ORCID: https://orcid.org/0000-0002-1838-8301 Her research centers on advanced AI planning techniques, including planning under uncertainty, numeric and temporal reasoning, and explainability in planning systems. She investigates how AI can support decision-making in complex domains such as space robotics (e.g., ERGO, ADE projects), multimorbid patient management, and power systems. Her work often integrates constraint programming, heuristic search, and optimization to improve planner efficiency and expressiveness. Her recent publications (2019–2024) reflect a strong focus on explainable AI in planning, with user studies informing the design of interpretable planning systems. She also continues to advance core planning technologies, such as handling nonlinear change, disjunctive scheduling, and metastate abstractions. Her work bridges theoretical AI with practical deployment in real-world autonomous systems. EPSRC Post-Doctoral Research Fellowship (2010–2013) Invited speaker at IJCAI Early Career Spotlight (2016) Dr. Coles has led multiple externally funded research projects, including from EPSRC and the European Commission (e.g., ERGO, ADE, POLARIS), focusing on scalable planning, continuous change, and autonomy in robotics. She has edited major conference proceedings (e.g., ICAPS 2016) and co-developed influential planning systems like COLIN and PDDL+. She actively supervises research students and collaborates across disciplines, contributing to the development of trustable autonomous systems at King's College London. She is a key member of the Planning, Reasoning and Planning research group and the Trusted Autonomous Systems Hub , where her work supports the development of reliable, explainable, and efficient autonomous decision-making systems for future applications.

Justus Thiesمشاهده پروفایل

استاد

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

Justus Thies is a Professor at the Technical University Darmstadt (since September 2023), leading research at the intersection of computer graphics , computer vision , and machine learning . His work focuses on real-time 3D reconstruction, tracking, and photorealistic rendering of humans and environments using commodity hardware, with applications in AR/VR , movie production , and 3D telepresence for collaborative virtual environments. Current faculty member at Technical University Darmstadt Research themes: 3D reconstruction, neural rendering, hybrid machine learning/Graphics methods Applications: AR/VR, telepresence, human-environment modeling His research emphasizes neural rendering and deep learning approaches for facial and body modeling, including projects like GEM (Gaussian Eigen Models), SynShot (synthetic prior inversion), and TeCH (text-guided clothed human reconstruction). Collaborations include institutions like Max Planck Institute for Intelligent Systems and Google . Key trends in his recent publications include: neural Gaussian splatting for real-time avatars, diffusion models for speech/audio-driven animation, and hybrid approaches that combine classical computer graphics principles with modern machine learning techniques. These methods address challenges in generalizability , controllability , and editability of 3D representations. Notable research contributions since 2014 include advancements in monocular facial reconstruction , real-time expression transfer , and neural rendering techniques that enable 3D scene synthesis from unpaired or sparse data. His work has received significant recognition, including Face2Face featured in Communications of the ACM (2019) and multiple publications at top venues like CVPR , ECCV , and SIGGRAPH .

• Geometry processing
• Massive model rendering
• Procedural generation
• +۴ مورد دیگر

Antonio Chica is an Associate Professor at the Department of Computer Science, Universitat Politècnica de Catalunya (UPC), specializing in geometry processing, real-time rendering, and virtual reality applications. His research focuses on 3D reconstruction, procedural landscape generation, and LiDAR data optimization. Teaching at Terrassa School of Engineering and Barcelona School of Informatics Member of the Modeling, Visualization, Interaction and Virtual Reality Group Key research areas include: Geometry processing techniques for signed distance fields Procedural generation of 3D landscapes and vegetation Game development frameworks and VR training systems Efficient algorithms for massive point cloud rendering His recent publications emphasize Bayesian reconstruction methods, adaptive SDF approximations, and optimized VR training tools. He actively collaborates on LiDAR data calibration, terrain modeling, and cultural heritage visualization projects. Antonio Chica's work integrates advanced graphics algorithms with practical applications in urban modeling, medical training, and historical preservation. He develops open-source tools like MeshPipe to simplify geometry processing workflows.

• 3D Modeling
• Real-Time Animation
• Computer Graphics
• +۴ مورد دیگر

Damien Rohmer is a Professor of Computer Science at École polytechnique , Institut Polytechnique de Paris. He leads the VISTA research team at LIX (CNRS UMR 7161) and serves as Deputy Director of LIX since 2024. Current PhD supervisions with ANR/CIFRE funding Open-source tool development for computer graphics education Editorial roles in SCA, MIG, SIGGRAPH conferences His research spans 3D modeling , real-time animation , and user-interactive simulation , with applications in entertainment, medical sciences, and design. Key sub-areas include: Character motion retargeting Multi-scale natural phenomenon simulation Field-based implicit modeling Wearable technology visualization Gesture-controlled animation systems Recent publications in SIGGRAPH , Eurographics , and SCA earned multiple Best Paper/Poster awards in 2024-2025. He co-develops the CGP library for educational 3D programming and maintains community resources for French computer graphics institutions.