جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Architectural Design
• +۴ مورد دیگر

Dr. Ana Cocho-Bermejo is a Senior Lecturer in the School of Engineering and the Built Environment at Anglia Ruskin University (ARU), part of the Faculty of Science and Engineering. She joined ARU in January 2022 and previously held roles such as Lecturer and Researcher at UIC Barcelona, Academic Manager and Vice-Dean for Student Affairs at UIC Barcelona, and Co-Director of the Master's program in Artificial Intelligence for Architectural Design at Barcelona Tech. Education: PhD in Technology in Architecture and Building Construction, Barcelona Tech (2012) MArch, Architectural Association of London (2006) MRes in Adaptive Architecture and Computation, The Bartlett (2011) MPhil in Artificial Intelligence, Barcelona Tech (2022) Research focuses on AI and machine learning applied to architectural and urban design, including hybrid design processes, complex systems, and distributed intelligence. Her work explores computational methods for sustainable architectural systems, ETFE membrane systems, and biomimetic strategies. Key areas include generative design, evolutionary algorithms, and urban optimization. Publications highlight contributions in architectural computing, biomimetics, and intelligent façade systems. Notable works include studies on evolutionary computation in urban design and ETFE membrane behavior analysis. She has served on editorial boards for journals like International Journal of Architectural Computing and Sustainability ArchiDOCT . Grants include scholarships from Santander Universia (2011-12) and Pedro Barrie de la Maza/British Council (2004-06). Active in professional organizations such as ACADIA, IACM, and ECAADE. Her teaching spans architecture technology, sustainable design, and computational methods.

• Internet of Things (IoT)
• Cyber-Physical Systems (CPS)
• Smart Manufacturing
• +۴ مورد دیگر

Dirk H J Pesch is a Professor at the School of Computer Science and Information Technology , University College Cork (UCC), and currently serves as Head of School. His research focuses on future networked systems for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), with applications in smart communities, health, and manufacturing. He leads the Science Foundation Ireland-funded ADVANCE CRT and is a co-PI of the CONNECT Centre . Prior to UCC, he was at Cork Institute of Technology (now Munster Tech U), where he founded the Nimbus Research Centre. He holds a PhD from the University of Strathclyde and a Dipl.Ing from RWTH Aachen University. Research Interests include IoT/CPS protocols, system architectures, interoperability challenges, and AI-driven analysis for well-being. He has authored/co-authored over 250 publications and co-edited a book on energy-positive urban systems. His work spans conference organization (e.g., IEEE SmartComp 2025 General Chair) and industry collaborations, with €80M+ in grant funding. Key contributions include developing low-power wireless protocols (e.g., MeshMAC), smart building monitoring systems, and frameworks for IoT in energy-positive neighborhoods. His recent work explores loneliness detection via passive sensing and 6G-V2X technologies for autonomous driving. Grants & Leadership: Directed €16M of his own research grants, managed large-scale EU/Irish projects, and advised on industrial IoT implementations. His Nimbus Centre became a leader in IoT applications under his leadership. Labs/Teams: Founded Nimbus Research Centre; active in Cork Smart Gateway initiative. Supervised numerous students and researchers in interdisciplinary projects.

• Digital Twins
• Edge Computing
• Federated Learning
• +۶ مورد دیگر

Paolo Bellavista is a Professor at the University of Bologna, Department of Electrical, Electronic, and Information Engineering, specializing in Computer Science and Engineering. His research focuses on cutting-edge technologies bridging the physical and digital worlds, with particular emphasis on Digital Twins, Edge Computing, Federated Learning, and IoT systems across various application domains. His research interests span Digital Twins implementation in industrial settings, Edge Computing architectures, Federated Learning techniques, Internet of Things applications, 5G/6G networking, Cloud Computing paradigms, and Smart Manufacturing systems. His work demonstrates a strong focus on practical implementations of theoretical concepts, particularly in the context of distributed systems where latency, reliability, and security are critical concerns. Analysis of his recent publications reveals a strong trend toward integrating Digital Twin technology with edge computing infrastructure, developing privacy-preserving federated learning techniques, and creating efficient communication protocols for industrial IoT applications. His work spans both theoretical contributions and practical implementations across smart factories, transportation systems, aviation, and urban infrastructure. While specific awards are not mentioned in the available data, his extensive publication record in top-tier venues demonstrates significant recognition within the academic community. His collaborations span numerous institutions and researchers across Europe and beyond. Professor Bellavista actively supervises research in distributed systems, with numerous PhD students and postdoctoral researchers contributing to his projects. His research has been supported by various grants focused on next-generation networking, edge computing, and industrial digitalization initiatives. His laboratory work centers around the IoTwins platform for implementing distributed digital twins in industrial manufacturing and facility management settings, with applications spanning smart factories, urban environments, and transportation systems. Current research directions include entanglement-aware middleware for digital twins, federated unlearning techniques, and adaptive resource management in cloud-to-edge continuum environments.

Laura Tolesمشاهده پروفایل

پژوهشگر ارشد

• Speech-Language Pathology
• Voice Disorders
• Vocal Hyperfunction
• +۷ مورد دیگر

Laura Toles is a speech-language pathologist and researcher specializing in voice disorders, with affiliations to the University of Texas Southwestern Medical Center . Her work focuses on vocal hyperfunction, phonotrauma, and ambulatory voice monitoring. Undergraduate: University of North Texas (2006), Speech-Language Pathology Graduate: University of North Texas (2010), Speech-Language Pathology Fellowships: University of Texas Southwestern Medical Center (2011), MGH Institute of Health Professions (2021) Her research explores biomechanical and acoustic correlates of vocal disorders , with recent studies on telehealth interventions, vocal effort, and spatiotemporal analysis of hyperfunctional voices. She has contributed to clinical outcome metrics for voice surgery and therapy. Her 15 most recent publications (2022–2025) emphasize ambulatory monitoring , stimulability testing , and machine learning applications in voice classification. Collaborative work spans institutions like Massachusetts General Hospital and Harvard Medical School.

Vincent Moureauمشاهده پروفایل

پژوهشگر

• Combustion Modeling
• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Vincent Moureau is a CNRS Research Fellow (HDR) at the CORIA laboratory, specializing in advanced computational fluid dynamics and combustion modeling. His research focuses on Large-Eddy Simulation (LES) of turbulent flows, spray dynamics, and thermo-acoustic instabilities in complex geometries. He is a core developer of the YALES2 solver, a high-order unstructured code for multiphase reactive flows. Positions: Research Fellow at CORIA, HDR, and affiliated with INSA de Rouen for teaching. Key Expertise: LES in gas turbines, piston engines, and wind turbines; numerical methods for HPC systems. He has taught courses on numerical methods, aerodynamics, and CFD software training. His work earned awards including the 2018 Grand Prix ONERA and the Digital Simulation Collaboration Award. His research includes industrial collaborations with SAFRAN and INRIA. Labs/Teams: Leads the YALES2 development team and contributes to the SIAME project for exascale computing. Active in the SIAME and MATI projects for aero-thermal systems and combustion modeling.

Heike Hofmannمشاهده پروفایل

استاد

• Statistical Visualization
• Forensic Data Analysis
• Machine Learning for Forensics
• +۴ مورد دیگر

Heike Hofmann is a Professor in the Department of Statistics at the University of Nebraska-Lincoln. Her research spans statistical visualization, forensic data analysis, and machine learning applications in crime scene evidence evaluation. Key contributions include developing interactive frameworks for forensic bullet comparisons, advancing reproducibility in toolmark analysis, and creating explainable machine learning pipelines. Email: hhofmann4@unl.edu Research Interests focus on: Visual statistical inference and human factors in data interpretation 3D imaging and algorithmic matching for firearms/toolmark identification Psychometrics and mixed-effects modeling Open-source software development for statistical analysis (e.g., R packages) Recent Work Trends (2021-2025) emphasize: Forensic error rate quantification Interactive visualization tools (e.g., ggplot2 extensions) Machine learning integration in forensic science Large-scale data graphics validation for public understanding Automated matching algorithms for bullets/cartridge cases

Dieter Fellnerمشاهده پروفایل

استاد

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +۱۰ مورد دیگر

Dieter Fellner is a Professor of Computer Science at Technical University of Darmstadt, Germany , and Director of the Fraunhofer Institute of Computer Graphics (IGD) . He also serves as Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His career spans multiple prestigious institutions including University of Bonn, Memorial University of Newfoundland, and University of Technology Braunschweig. Dr. Fellner's research focuses on algorithms integrating modeling and rendering , digital libraries , virtual/augmented reality , collision detection , and radio wave propagation simulation . His work in digital libraries led to a DFG-funded strategic initiative (1997-2005) involving 50 researchers annually across 21 groups. The 15 most recent articles highlight his expertise in 3D document modeling , stereoscopic projection , subdivision surfaces , and color quantization . His publications include influential textbooks like the German standard on computer graphics (1988) and Digitale Bibliotheken (2000). 2000 Fellow of the Eurographics Association Best Technical Paper Award (Günther Enderle Award) at Eurographics’98 2007 IST Advisory Group (ISTAG) Member for the European Commission 2019 Honorary Doctorate from University of Rostock Dr. Fellner actively participates in editorial boards of journals like Computer Graphics Forum , IEEE CG&A , and JOCCH , and serves on program committees for conferences such as Eurographics, VSMM, and ACM Web3D. His leadership roles include Chairmanship of the Eurographics Association (1999-2000) and Directorship of Fraunhofer IGD (since 2006).

Sohail Muradمشاهده پروفایل

استاد

• Classical Thermodynamics
• Statistical Thermodynamics
• Molecular Modeling
• +۵ مورد دیگر

Sohail Murad is a Professor of Chemical Engineering and Interim Chair of the Department of Chemical and Biological Engineering at Illinois Institute of Technology (Illinois Tech) in the Armour College of Engineering. He holds additional affiliations with the Digital Medical Engineering and Technology (IDMET) Research and Education Center. His research focuses on classical and statistical thermodynamics, with applications in membrane-based separations, energy storage, and drug delivery. Key projects include investigating ion transport in zeolite membranes for redox flow batteries and chiral compound separation. Education: B.S. in Chemical Engineering from the University of Engineering, Lahore, Pakistan; M.S. from the University of Florida; Ph.D. from Cornell University. Research Interests: Molecular modeling of transport phenomena in membranes, water desalination, advanced batteries, gas separations, and drug delivery mechanisms. Recent work includes studies on thermal rectification in liquids and nanoparticle interactions with lipid membranes. Awards: Ernest W. Thiele Award (2023), Coleman Foundation Fellow (2009), Fellow of AIChE, and Guest Professor at Nanjing University of Technology. Publications span molecular dynamics studies of membrane permeation, thermal transport, and chiral recognition, with notable contributions to AIChE Journal , Langmuir , and Molecular Physics . His work emphasizes computational tools for optimizing industrial processes and advancing materials science.

Chellappa Ramaمشاهده پروفایل

استاد

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

Rama Chellappa is the Bloomberg Distinguished Professor at Johns Hopkins University (JHU), holding primary appointments in the departments of Electrical and Computer Engineering and Biomedical Engineering, under the Whiting School of Engineering and School of Medicine, respectively. He is affiliated with the Center for Imaging Science, Center for Language and Speech Processing, Institute for Assured Autonomy, and Mathematical Institute for Data Science. Previously, he spent 29 years at the University of Maryland as a College Park Professor and held roles at the University of Southern California and Purdue University. His research focuses on computer vision, machine learning, artificial intelligence, pattern recognition, and biometrics, with applications in smart cars, forensics, 2D/3D facial modeling, and medical diagnostics. Notable contributions include work on Markov random fields, 3D structure recovery, deep learning for face recognition, and gait recognition. He has published over 900 papers, achieving an h-index of 140. Rama Chellappa has been honored with prestigious awards, including the US National Academy of Engineering membership (2023), IEEE Jack S. Kilby Medal (2020), and K.S. Fu Prize (2012). He is a Fellow of multiple organizations, including IEEE, IAPR, and AAAS. His current collaborations at JHU School of Medicine involve applying computer vision to analyze facial expressions for monitoring stroke/dementia patients, autism detection in children, and digital pathology.

Jürgen Steimleمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Wearable Computing
• Haptic Interfaces
• +۶ مورد دیگر

Prof. Dr. Jürgen Steimle is a full professor at Saarland University's Department of Computer Science and director of the Human-Computer Interaction and Interactive Technologies Lab. He previously served as Dean of the Faculty of Mathematics and Computer Science (2022–2024), and held roles at MIT (Visiting Assistant Professor, 2012–2014) and the Max Planck Institute for Informatics. His research focuses on embodied and embedded interfaces, including wearable computing, haptic interaction, and novel materials for interactive systems. Education: PhD in Computer Science from TU Darmstadt. Research Interests: On-body interaction, wearable computing, flexible sensors/displays, digital fabrication, and human-robot interaction. His work emphasizes merging technology with the human body and environment to enhance natural interaction. ERC Starting Grant recipient Best Paper Awards at ACM UIST, CHI, and IEEE ICALT Best Dissertation Award 2009 (GI/SI/OCG) Advising & Grants: Supervised over 15 PhD students. Secured grants including an ERC Starting Grant and Google Faculty Award. Current students include Yu Jiang and Arata Jingu. Labs/Teams: Leads the Human-Computer Interaction Lab at Saarland Informatics Campus, focusing on epidermal computing, soft materials, and tangible interfaces.

Yuliang Xiuمشاهده پروفایل

استادیار

• Computer Vision
• Computer Graphics
• 3D Human Digitization
• +۷ مورد دیگر

Yuliang Xiu is a tenure-track Assistant Professor at Westlake University's AI department, leading the 远兮实验室 (endless.do) as PI. His research focuses on democratizing human-centric digitization through advancements in computer vision, graphics, and machine learning. Previously, he completed his Ph.D. at Max Planck Institute for Intelligent Systems under Prof. Michael J. Black, funded by the CLIPE Marie Sklodowska-Curie fellowship. His work bridges vision and graphics to achieve scalable, photorealistic 3D human digitization. Education: Ph.D., Max Planck Institute for Intelligent Systems (2025, advised by Michael J. Black & Dimitrios Tzionas) M.Sc., Shanghai Jiao Tong University (2019, advised by Cewu Lu) B.Eng., Shandong University (2016, advised by Lu Wang) Research Interests: His work emphasizes human-centric digitization , including 3D clothed human reconstruction, generative AI for garments, and training-free methods. His lab explores foundational models for scalable avatar creation, aiming to make human digitization accessible to all. Recent projects include Easi3R (dynamic motion estimation), ETCH (clothed body fitting), and ECON (explicit-implicit hybrid modeling). He advocates for generalizable, photorealistic systems that align with real-world constraints. Publications Trends: Over 15+ peer-reviewed papers, with 2025 highlights including ICCV and SIGGRAPH contributions. His work is characterized by innovations in: 3D reconstruction from single images/videos Implicit/explicit representation hybrids LLM-driven garment editing Efficient finetuning via butterfly factorization Awards & Recognition: 2025 China3DV Rising Star Award Best in Show (SIGGRAPH RTL 2020) CVPR Highlight 2023 Organized ECCV 2024 workshop on Foundation Models for 3D Humans Advising & Mentorship: Successfully mentored 3 master students into top PhD programs (TUM, MBZUAI, HKU). Actively hiring postdocs, PhDs, and researchers for lab expansion. Labs & Teams: Leads the 远兮实验室 (endless.do), focusing on democratizing human digitization through open-source tools and foundational research. Key contributions include the ECON, TADA, and TeCH frameworks.

• Tissue Engineering
• Plastic Surgery
• Regenerative Medicine
• +۴ مورد دیگر

Wayne Morrison serves as an Adjunct Professor in the School of Behavioural and Health Sciences within the Faculty of Health Sciences. His academic career spans decades of innovation in tissue engineering and reconstructive surgery, with a focus on translating laboratory discoveries into clinical applications for tissue regeneration and defect repair. Dr. Morrison's research program centers on vascularization strategies for engineered tissues, adipose stem cell applications, and liver bioengineering. His pioneering work on the vascularized tissue engineering chamber model has revolutionized approaches to creating functional tissue flaps and organoids. Key investigations include the role of macrophages in adipogenesis, development of iPSC-derived vascular networks, and novel methods for enhancing fat graft survival through anti-inflammatory interventions. Analysis of his publication trajectory reveals consistent advancement in vascularized tissue engineering, with recent emphasis on liver regeneration using iPSC technologies and lymphatic network reconstruction. His collaborative work demonstrates integration of biomaterials science, stem cell biology, and microsurgical techniques to address complex tissue defects. The 2024 publication on liver specification represents the culmination of years of research toward functional organ engineering. Dr. Morrison has significantly contributed to surgical knowledge through book chapters on pharyngeal reconstruction, digital replantation, and foundational plastic surgery techniques. His research group maintains strong collaborations with tissue engineering specialists and clinical surgeons across Australia, focusing on solutions for radiation injury, traumatic defects, and organ failure. The vascularized chamber model remains central to ongoing investigations in vascularized tissue generation and in vivo bioreactor applications.

• Geomatics Engineering
• Geospatial Information Systems
• Big Geospatial Data Analytics
• +۵ مورد دیگر

Dr. Songnian Li is a Professor and Associate Chair of Graduate Studies in the Department of Civil Engineering at Toronto Metropolitan University. His expertise spans geocollaboration systems, big geospatial data analytics, and digital twins for smart cities. He holds a PhD from the University of New Brunswick and a BEng from Wuhan Technical University of Surveying and Mapping. Dr. Li's research focuses on human mobility patterns, spatio-temporal dynamics, and geosocial media analysis. He has pioneered techniques for extracting real-time traffic insights from social media data and developed frameworks for urban solar energy mapping. His work emphasizes leveraging geospatial technologies for societal decision-making. Education: PhD (2002, UNB), BEng (1983, Wuhan) Professional Memberships: ISPRS Fellow, Editor-in-Chief of Canadian Journal of Remote Sensing Key achievements include the 2023 Career Achievement Award and 2020 ISPRS Fellowship. He supervises PhD and MASc students in geomatics, data science, and environmental management programs. His GIS and GeoCollaboration Lab explores cutting-edge applications like 3D urban modeling and cultural heritage preservation through point cloud analysis. Dr. Li advocates for student-driven research, evidenced by a supervisee's ultra-prestigious award-winning paper.

• Chemistry Education
• Membrane Biophysics
• Solid-State NMR Spectroscopy
• +۶ مورد دیگر

Dr. Deborah Gater serves as an Assistant Professor of Chemistry and Associate Director for Enrolment Management at Northeastern University London, part of the CoMENS Faculty. She holds dual Master’s degrees (Chemistry and Protein/Membrane Chemical Biology) and a PhD in Chemistry from Imperial College London. Her research bridges membrane biophysics, solid-state NMR, and educational innovation, focusing on cholesterol-membrane interactions and technology-enhanced chemistry teaching. She previously worked at Khalifa University and UCL’s Centre for Languages and International Education. Her research explores cholesterol’s role in membrane systems, semiconductor-based biosensors, and vitamin D’s effects on membranes. She collaborates across disciplines to advance biophysical techniques and educational accessibility. Teaching areas include general/organic chemistry and drug discovery for apprenticeships. Key Research Areas : Membrane biophysics, solid-state NMR, amino acid detection via GaAs sensors, vitamin delivery systems, and evidence-based teaching methods. Notable Projects : Development of transdermal vitamin D3 systems, chip-based biochemical sensors, and Moodle-based online assessment analytics. Locations : Based at Northeastern’s London campus (Devon House, E1W 1LP). Dr. Gater’s work emphasizes interdisciplinary collaboration, with publications spanning chemical education, biophysical methods, and material science applications. Her teaching innovations address inclusivity and technology integration in STEM education.

Shai Yeshayahuمشاهده پروفایل

دانشیار

• Architectural Design
• Technical Knitting
• Smart Materials
• +۴ مورد دیگر

Shai Yeshayahu is an Associate Professor in The Creative School at Toronto Metropolitan University and co-founder of VerS+, a research and design collaborative exploring intersections between ancient knowledge, emerging technologies, and material culture. His work bridges historical inquiry with contemporary design practices, focusing on technical knitting innovations and smart-knit prototypes for built environments. Shai holds an M.Arch, BSAT, and diploma in Art History. Research interests center on material origins and their evolution through communication systems, with applied work in smart materials and performance-driven design. His projects span architecture, interior design, and landscape architecture, emphasizing interdisciplinary collaboration. Co-founded VerS+ explores how diverse knowledge systems inform spatial creation through prototyping and fabrication. Publications span parametric design theory, CNC fabrication, and urban systems thinking, reflecting his dual focus on historical contexts and cutting-edge technology. His applied research now prioritizes textile innovation, particularly knitted structures' performative potential in architecture. Academic contributions include design pedagogy and computational methodologies, with work exhibited internationally. No awards are explicitly listed, but his collaborative projects demonstrate significant creative impact.