جست‌وجوی استاد و پژوهشگر

Jeffrey Huangمشاهده پروفایل

استاد

• Design Thinking
• Artificial Intelligence in Architecture
• Strategic and Experience Design
• +۳ مورد دیگر

Jeffrey Huang is a Full Professor at EPFL, holding joint appointments in the Faculty of Computer and Communication Sciences (IC) and the Faculty of Architecture, Civil and Environmental Engineering (ENAC). He directs the Institute of Architecture and leads the Media x Design Laboratory (MxD Lab). His areas of expertise include Design Thinking, Artificial Intelligence in Architecture, Urban Digital Twins, and Computational Urbanism. Educated at ETH Zurich (DiplArch), Harvard University (Masters and PhD), Huang has held academic roles at MIT, Harvard, Tsinghua University, and the Singapore University of Technology and Design (SUTD). He is a recipient of the Gerald McCue Medal for academic excellence and the 2023 ACSA Best Article Award for his work on GANs and architectural design. Recent research focuses on combining machine learning with architectural design, particularly exploring generative adversarial networks (GANs), spatial analysis, and urban digital twins. His projects include the Blue City Innosuisse Flagship Project and the Singapore Prototypologies initiative. Awards include the 2023 ACSA Best Article Award and the Best Presentation Award at CAAD Futures 2009. He supervises numerous PhD students and has led significant research grants such as the Innosuisse Flagship Project and the MIT-SUTD collaborations. Huang co-founded Convergeo, a strategic design firm, and has been involved in creating new architectural education programs, including the Architecture and Sustainable Design Pillar at SUTD.

• Computer Graphics
• Geometry Processing
• 3D Reconstruction
• +۳ مورد دیگر

Dr. Jing Ren is affiliated with the Department of Computer Science at ETH Zürich, holding a role within the Professorship for Computer Science. Their research focuses on computational geometry, 3D reconstruction, and computer graphics, with notable contributions to shape analysis, non-rigid matching, and fabric modeling. Dr. Ren’s work bridges theoretical advancements with practical applications in textile design, architectural modeling, and medical imaging. They collaborate extensively on projects involving functional maps, optimization algorithms, and geometric morphometrics. Key research interests include: Non-rigid shape correspondence and matching Computational modeling of woven fabrics and textiles 3D face and building reconstruction techniques Efficient spectral and discrete optimization methods Recent publications (2022–2024) emphasize innovations in fabric parameterization, Gaussian noise distribution, and rethinking 3D face reconstruction benchmarks. Their work often employs machine learning and functional map frameworks to solve geometric problems across disciplines. Laboratory and team affiliations are not explicitly detailed in the provided materials, but their research aligns with ETH Zürich’s broader initiatives in computer science and engineering. No grants or advising activities are specified in the current data.

• Wireless Communications
• Deep Learning
• Signal Processing
• +۷ مورد دیگر

Thien Huynh-The is a Professor in the Department of Electrical Engineering at Chungnam National University's College of Engineering, where they lead research in wireless communications, deep learning applications, and IoT systems. With over 150 publications spanning from 2014 to 2025, their work demonstrates sustained academic productivity with significant contributions to 5G/6G networks, spectrum sensing, and federated learning architectures. Research interests focus on the intersection of deep learning and wireless communications, particularly in automatic modulation classification, semantic segmentation for remote sensing, and energy-efficient communication protocols. Their innovative approaches include developing specialized CNN architectures like SRNet for spectrum sensing and CosPoint Transformer for 3D semantic segmentation, addressing critical challenges in 5G/6G systems and metaverse infrastructure. Recent work explores STAR-RIS-aided networks, waveform classification for integrated radar-communication systems, and privacy-preserving federated learning for healthcare applications. Analysis of publication trends reveals increasing focus on metaverse technologies and 6G communications since 2022, with significant contributions to IEEE Communications Surveys & Tutorials and IEEE Internet of Things Journal. Key research areas include federated learning optimization, channel estimation techniques using attention networks, and semantic communication frameworks for edge-assisted metaverse applications. Collaborative research spans multiple institutions with frequent co-authorship with Dong-Seong Kim, Quoc-Viet Pham, and Won-Joo Hwang. Current projects address critical challenges in wireless power transfer, spectrum efficiency, and computational resource allocation in next-generation networks.

Carina Geldhauserمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Climate Modeling
• Mathematical Analysis
• +۷ مورد دیگر

Carina Geldhauser is a Senior Scientist at ETH Zurich's Department of Mathematics, with affiliations spanning institutions like Lund University (Faculty of Engineering) and the University of Sheffield (School of Mathematics and Statistics). She holds a PhD in Applied Mathematics from the University of Bonn and a dual degree in Mathematics and Protestant Theology. Her research bridges fundamental mathematical analysis, stochastic processes, climate modeling, and AI ethics. Key research areas include machine learning reliability, stochastic models of turbulence, and ethical implications of technology. She has pioneered work on point vortex models in fluid dynamics and CO2 emissions monitoring. Her interdisciplinary projects include applying machine learning to biblical manuscripts and exploring the 'algorithmizability' of ethics. Awarded the Global Young Academy membership (2022), Falling Walls Science Summit recognition (2024 diversity track), and the TU Dresden Graduate Academy award (2019). She has led funded projects on sustainable development and stochastic turbulence models, securing grants like FORMAS' 3-year initiative (2022) and the Crafoord Foundation's support (2021). Geldhauser is deeply engaged in academia: teaching applied mathematics, mentoring through the International Mathematics Master (IMM), and advocating for equal opportunities. She volunteers with Studies Without Borders, focusing on scholarships for disadvantaged students, and communicates mathematics via science slams and IMAGINARY projects.

• Cold Spray Technology
• Additive Manufacturing
• Materials Durability
• +۵ مورد دیگر

Hamid Jahed is a Professor and University Research Chair in Cold Spray Technology at the University of Waterloo's Mechanical and Mechatronics Engineering Department. He directs the Fatigue and Stress Analysis Laboratory (FATSLab), focusing on cold spray technology, materials durability, and structural life enhancement. His research spans additive manufacturing, residual stress analysis, and EV battery durability, with strong industry partnerships. He has received numerous awards, including the International Magnesium Association 2021 Award of Excellence and multiple University of Waterloo distinctions. Education: PhD (1997, University of Waterloo), MEng (1982, University of Houston), BEng (1981, University of Houston). Research interests include cold spray applications (coatings, 3D printing), fracture mechanics, digital twins, and magnesium alloy processing. Recent work explores hydrophilic Teflon coatings, fatigue behavior of additively manufactured alloys, and antimicrobial surface treatments. He supervises 11 graduate students and has trained 100+ researchers. Awards highlight his teaching and research excellence, including the Sandford Fleming Teaching Award and multiple Distinguished Performance Awards. Current projects involve EV battery durability and low-carbon manufacturing innovations. FATSLab investigates fatigue properties of materials under multiaxial loads, residual stress measurement, and cost-effective magnesium alloy fabrication. He collaborates with automotive OEMs and Tier 1 suppliers on large-scale industry projects.

• Additive Manufacturing
• Biomedical Engineering
• Materials Science
• +۴ مورد دیگر

Suresh Sinduja is a researcher specializing in biomedical engineering and materials science, with a focus on additive manufacturing applications in healthcare. Their work involves developing patient-specific implants, bone scaffolds, and 3D-printed orthotic devices. They have collaborated extensively with institutions like the University of Queensland and Hannover Medical School, contributing to advancements in surgical implants, tissue engineering, and medical imaging technologies. Sinduja holds a PhD from Hannover Medical School (2020) and has published over 45 peer-reviewed articles between 2018 and 2025. Key Research Areas: Biodegradable materials, 3D printing workflows, bone regeneration, spinal orthosis design, and telemedicine solutions for rural healthcare. Affiliations: Hannover Medical School (PhD), collaborations with QUT, VU Amsterdam (through co-authorships), and industry partners. Notable projects include the development of modular bone scaffold design tools, semi-automated digital scoliometers for scoliosis assessment, and investigations into the mechanical properties of 3D-printed biomedical components. Their work bridges engineering and clinical practice, aiming to enhance patient outcomes through innovative manufacturing solutions.

• Advanced Manufacturing
• Digital Fabrication
• Parametric Design
• +۵ مورد دیگر

Müge Fialho Leandro Alves Teixeira is an Associate Professor at Queensland University of Technology (QUT) in the Faculty of Engineering, School of Architecture & Built Environment. She is a Design Lead at the Advanced Robotics Manufacturing Hub (ARM Hub) and holds expertise in advanced manufacturing, digital fabrication, and parametric design. Her academic journey includes a PhD from Istanbul Technical University (ITU), an MArch from the Architectural Association School of Architecture (AADRL), and postdoctoral research in design robotics funded by IMCRC. Teaching focuses on interior architecture, materials, and design studios. Research interests span transdisciplinary design, phenomenology of perception, and robotic fabrication, with notable projects like RoboBlox and Diatoma. Awards include funding from Tübitak and MSCA-RISE for projects on flexible spatial design and trans-cultural placemaking. Supervision includes PhD research on topics like human-robot collaboration and sustainable robotic architecture. Education: PhD (ITÜ), MArch (AA), MSc (ITÜ) Key Projects: RoboBlox, Diatoma Pavilion, Robotic Morphologies Exhibitions: Brisbane Art Design, Istanbul Design Biennale, Venice Biennale Competitions: Awards from Zaha Hadid Architects, ThyssenKrupp, and international design competitions Her work bridges art, technology, and architecture, emphasizing computational strategies and sensory design. Current research explores augmented reality in construction and bio-inspired fabrication systems.

Savvas Vassiliadisمشاهده پروفایل

استاد

• Energy Harvesting
• Wearable Technologies
• Textile Engineering
• +۴ مورد دیگر

Savvas Vassiliadis is a Professor in the Department of Electrical and Electronics Engineering at the University of West Attica. He holds additional roles as Institutional Coordinator of the Erasmus+ Program and has served as Director of a Section, Head of the Department of Electronics Engineering, and member of various administrative councils. His educational background includes a PhD from the National Technical University of Athens, alongside earlier degrees in Textiles, Electronics, and Electrical and Computers Engineering. His research focuses on interdisciplinary fields such as wearable technologies, energy harvesting through textile-based systems, and materials science. Notable areas include triboelectric generators, electromagnetic shielding of textiles, and applications for visually impaired individuals. His work also spans textile mechanics, IoT integration, and smart fabrics with thermochromic properties. Recent publications (2022–2024) highlight advancements in leather-based triboelectric systems, cyber resilience frameworks, and NFC-enabled wearable devices. He has contributed to over 70 peer-reviewed articles, emphasizing sustainable energy solutions and functional textile innovation. His academic contributions are further reflected in roles organizing conferences like AITAE 2018 and in e-textile educational methodologies. No scientific awards are explicitly listed, though his extensive publications and administrative roles underscore his academic leadership. He has advised numerous projects but no named students are documented here. His work bridges textile engineering with electronics, addressing both technical and societal challenges through innovative material science and wearable technology.

• New Product Development
• Engineering Design Thinking
• Human-Machine Interaction
• +۷ مورد دیگر

Martin Steinert is a Professor of Engineering Design and Innovation at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Engineering and the Department of Mechanical and Industrial Engineering. He leads the Design & Engineering research group and heads TrollLABS, a prototyping lab he founded in 2014. His research focuses on the fuzzy front end of product/service development, human-machine interactions in critical environments, and disruptive technology management. Education: Ph.D. in Engineering Design. Affiliations: Norwegian Academy of Technological Sciences (NTVA). Teaching: Courses include Innovation by Design Thinking, Fuzzy Front End Engineering, and Engineering Design Methodology for PhD students. Research Interests: 3D printing and additive manufacturing for medical and aerospace applications. Prototyping methodologies and open-source hardware paradigms. Human factors in remote operations and autonomous systems. Generative AI's role in design innovation and ethical challenges. Articles Trends: Recent work emphasizes blood glucose prediction algorithms, haptic surgical simulations, and material science in 3D printing. Themes include clinical relevance in AI-driven healthcare and low-cost space prototyping. Awards: Top 1% in Mechanical Engineering (Stanford, 2022). Grants: Over $15M from NSF, Swiss NSF, and Norwegian Research Council. Advising: Supervising 9 PhD students and leading international collaborations like the CERN Challenge-Based Innovation program. Labs/Teams: TrollLABS pioneers open-source prototyping tools and hosts hackathons (e.g., IDEA Challenge). Collaborations include Stanford University and CERN.

Natalie Hudson-Smithمشاهده پروفایل

استادیار

• Nanotechnology
• Environmental Chemistry
• Chemical Education
• +۵ مورد دیگر

Natalie Hudson-Smith, Ph.D., is an Assistant Professor of Chemistry at Saint Peter's University. She earned her B.S. in Chemistry at The College of William and Mary, followed by a Ph.D. at the University of Minnesota, where she studied nanoparticle impacts on the environment and bacteria. As an IRACDA scholar at Stony Brook University, she expanded her expertise in chemical pedagogy and analytical chemistry. Current Role: Assistant Professor of Chemistry Research Focus: Nanomaterials, environmental toxicity, chemical education Teaching: General Chemistry, Analytical Chemistry, Instrumental Analysis Her work bridges environmental chemistry and science communication, including educational tools like NanoAdventure , a multilingual game for nanotechnology outreach. She also develops hands-on activities to demystify advanced analytical techniques for students and the public. Recent publications highlight her research on: Mechanisms of bacterial resistance to metal nanomaterials Redesigning nanoparticles to minimize environmental impact Applications of nanomaterials in agriculture and toxicity assessment Innovations in chemical education pedagogy

• Thermoelectric Energy Conversion
• Hall Effect Sensors
• Electric Vehicles
• +۳ مورد دیگر

Anatoliy Trifonov Aleksandrov is a faculty member in the Electronics Department at Technical University Gabrovo , with a focus on thermoelectric systems, Hall effect sensors, and mechatronic applications. He has led and participated in projects related to energy conversion, sensor development, and industrial process optimization. Research Interests: Thermoelectric generators and coolers, Hall element modeling, microprocessor-based sensor systems, and neural network applications for energy systems. Key Projects: Developed electric vehicles, synthesized energy converters, and studied sensor/actuator systems in mechatronics. Publications: Over 110 works, including textbooks and international conference papers on thermoelectrics, Hall sensors, and renewable energy. Doctoral Students: Supervised 11 PhD candidates, with topics spanning galvanomagnetic sensors, thermoelectric systems, and control environments. Scientific Trends: Recent articles emphasize thermoelectric modeling, neural network integration, and magnetic sensor applications in industrial and medical contexts.

Sam Hillمشاهده پروفایل

مدرس

• Non-Destructive Testing
• Ultrasonic Waves
• Signal Processing
• +۳ مورد دیگر

Dr. Sam Hill is a Lecturer in Data Science at York Business School, York St John University. He holds a PhD in Physics from the University of Warwick (2014) and has extensive experience in both academia and industry, including a post-doctoral role at IIT Madras and a position at Tribosonics, a high-tech company specializing in industrial sensing technologies. His research focuses on applying physics-based approaches to non-destructive testing, particularly using ultrasonic waves and array techniques. He teaches modules such as Analysis and Optimisation, Object-Orientated Programming, and Work-Based Project Research on the Data Science Degree Apprenticeship course. Key research interests include ultrasonic array design, signal processing, and data science applications for industrial diagnostics. His work involves developing models to analyze material properties through ultrasonic interactions and converting sensor data into actionable insights. He has contributed to advancements in electromagnetic acoustic transducers (EMATs), Lamb wave generation, and defect localization using pulsed arrays. Publications span topics like EMAT coil geometry optimization, enhanced ultrasonic signal processing, and guided wave defect interaction. His research bridges academic theory and industrial applications, aiming to improve structural integrity assessment and predictive maintenance strategies.

Renata Raidouمشاهده پروفایل

دانشیار

• Medical Visualization
• Visual Analytics
• Uncertainty Visualization
• +۳ مورد دیگر

Renata Raidou is an Associate Professor in Biomedical Visualization and Visual Analytics at the Research Unit of Computer Graphics, Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. She previously held positions at the University of Groningen and TU Wien as a postdoc. Her research focuses on medical visualization, uncertainty visualization, and data physicalization for healthcare applications. Raidou has received prestigious awards including the Dirk Bartz Prize (2017) and EuroVis Young Researcher Award (2022). She coordinates TU Wien's BSc in Digital Health and MSc in Medical Informatics. Education: PhD in Medical Visualization (Eindhoven University of Technology, 2017), MSc in Biomedical Engineering (TU Delft), Diploma in Electrical and Computer Engineering (NTUA). Professional Roles: Editorial Board member of Computer & Graphics , Steering Committee member of EG VCBM, and member of EASAC's AI in Healthcare working group. Research Interests: Medical visualization strategies for P4 medicine, anatomical edutainment through physicalization, and uncertainty-aware visual analytics in radiotherapy. Her work bridges visual computing, machine learning, and medical applications, emphasizing clinical decision support and public health education. Awards: Over 10 awards including Best Paper recognitions at IEEE Vis and EuroVis, and the EuroVis Best PhD Award. Her contributions span visualizing anatomical variability, ensemble data exploration, and interactive medical training tools. Grants & Projects: Leads the Health Virtual Twins project (2024–2028) for personalized stroke management. Active in interdisciplinary collaborations, including the Shonan Meeting on Formalizing Biological Visualization. Labs/Teams: Head of the Visualization Group at TU Wien, developing tools like Vologram (holographic medical data physicalization) and Slice and Dice anatomical crafts. Collaborates on edutainment systems and AI-driven healthcare visualization.

• Orthodontics
• Dentistry
• Biomaterials
• +۵ مورد دیگر

Dr. Emre Kayalar is a Specialist Orthodontist and Lecturer at the Sydney Dental School within the University of Sydney's Faculty of Medicine and Health. He holds a DDS, PhD, and MPharm, along with an associate degree in Health Institution Management. His roles include Honorary Clinical Educator at Sydney Dental Hospital and former Assistant Professor at Istanbul Aydin University. His research focuses on orthodontic device innovation, biomaterials, and clinical outcomes, with contributions to teledentistry during the pandemic and bone regeneration studies using herbal therapies like Salvia officinalis. Education: DDS, University of Istanbul, 2008 PhD and Specialist Orthodontist Degree, University of Istanbul, 2014 Master’s in Pharmacy, Anadolu University, Faculty of Pharmacy Associate Degree in Management of Health Institutions Research Interests: 3D-printed orthodontic devices for maxillary expansion Biofilm dynamics on orthodontic aligners Teledentistry applications in pandemic scenarios Bone regeneration via natural compounds (e.g., Salvia) Cleft lip/palate reconstructive surgery Patient-centered retention strategies post-orthodontic treatment His 30+ publications span clinical trials, biomaterials, and interdisciplinary studies in dentistry and pharmacology. Collaborative work includes randomized clinical trials on surgically assisted maxillary expansion techniques and comparative analyses of adhesive systems using laser technology. Advising & Grants: While no students or grants are explicitly detailed, his research indicates active participation in multidisciplinary projects involving clinicians, engineers, and pharmacologists. Labs/Teams: Affiliated with Sydney Dental School’s orthodontics department and collaborates with institutions in Turkey on herbal medicine and craniofacial studies.

Mayue Shiمشاهده پروفایل

پژوهشگر

• Digital Health
• Intelligent Biomedical Electronics
• Wearable Sensors
• +۳ مورد دیگر

Dr. Mayue Shi serves as a Postdoctoral Researcher at the Institute of Biomedical Engineering within the Department of Engineering Science at the University of Oxford, concurrently holding an Honorary Researcher position at Oxford John Radcliffe Hospital. His academic foundation includes a PhD in Electronic and Electrical Engineering from Imperial College London and a Master’s degree from Peking University. His research centers on digital health and intelligent biomedical electronics, with emphasis on wearable sensor development for healthcare systems, AI-driven modeling of physiological data, and clinical healthcare integration. Shi prioritizes patient-centered design to translate engineering innovations into practical medical solutions, actively bridging engineering and clinical practice to enhance healthcare accessibility and system resilience. Analysis of his recent publications reveals dominant trends in wearable sensing for dietary/obesity management (e.g., COBRA framework) and energy harvesting for self-powered biomedical devices. His work spans multimodal AI frameworks, microstructure-enhanced tactile sensors, and piezoelectric systems, demonstrating cross-disciplinary integration of machine learning, sensor engineering, and clinical validation. As a Research Member of Common Room, Shi contributes to Oxford’s biomedical engineering ecosystem, focusing on technologies that address real-world healthcare gaps through engineering-clinical collaboration.