جست‌وجوی استاد و پژوهشگر

• Sustainable Aviation
• Electric Aircraft Design
• eVTOL Development
• +۳ مورد دیگر

David Lampl is a Lecturer at the Chair of Aviation Systems, Technische Universität München. His office is located at Boltzmannstr. 15(5506)/III, 85748 Garching b. München, with contact available via phone (+49 89 289-16748) or email. He is affiliated with the research areas of Aircraft Design and Analysis and Evaluation of Aircraft Concepts. Research Focus: David specializes in sustainable aviation technologies, with emphasis on: Electric aircraft design methodologies eVTOL (electric Vertical Take-Off and Landing) development Hydrogen fuel cell applications in aviation Aircraft concept feasibility and performance analysis His current project explores performance and flight mechanics of electric VTOL aircraft. Publication Trends: All recent publications (2023) focus on electric and hybrid-electric VTOL aircraft, covering aerodynamic optimization, urban operation frameworks, propulsion integration, and performance validation. Research consistently addresses sustainability challenges in urban air mobility. Laboratory Affiliations: Associated with TUM's aviation infrastructure including: Flying Demonstrator Lab System Integration Lab Flight Test Field IMPULLS research initiative

Ziang Xiaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Natural Language Processing
• Human-AI Interaction
• +۵ مورد دیگر

Ziang Xiao is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering and a member of the Data Science and AI Institute. His research bridges human-computer interaction, natural language processing, and social psychology to understand human behavior at scale through AI systems. His educational background includes a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (co-advised by Prof. Hari Sundaram and Prof. Karrie Karahalios), where he also earned dual Bachelor's degrees in Psychology and Statistics & Computer Science under Prof. Dov Cohen. Prior to joining JHU, he was a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics group at Microsoft Research Montréal. Xiao's research focuses on three interconnected areas: AI for Social Science (using LLMs to simulate human behavior), Human-centered Model Evaluation (developing frameworks like ECBD for evidence-centered benchmark design), and Information Seeking (studying how AI systems affect information diversity). His work emphasizes democratizing technology to operationalize human intuitions about behavior and decision-making, with notable contributions to LLM evaluation metrics and ethical AI design. Analysis of his recent publications reveals a strong trend toward human-centered AI evaluation, with increasing focus on LLM safety, value alignment, and interdisciplinary applications across social science domains. His work consistently appears in top-tier venues including CHI, ACL, and NeurIPS, with a 2024 CHI Best Paper Award for research on LLM-powered search systems. Best Paper Award at CHI 2024 for 'Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking' Multiple publications in ACM/IEEE flagship conferences (CHI, ACL, NeurIPS) Research featured in Johns Hopkins news for social robot interruption handling and chatbot bias studies Xiao actively advises doctoral students and postdocs, with current advisees including Yu Lu Liu, Nikhil Sharma, and Han Jiang. His teaching includes graduate courses on Human-Computer Interaction and Advanced HCI Research Methods. He co-leads research initiatives at the intersection of AI and social science, collaborating with the Data Science and AI Institute to develop frameworks for responsible AI deployment. Current projects examine LLM vulnerabilities in GUI agents, multilingual information disparities, and adaptive decision support systems that balance automation with user control.

• Coastal Adaptation
• Climate Resilient Design
• Urban Ecology
• +۳ مورد دیگر

Kees Lokman is an Associate Professor and Chair of Landscape Architecture at the University of British Columbia (UBC) School of Architecture and Landscape Architecture. His research addresses design challenges related to sea level rise adaptation, water/food shortages, and energy transitions, with a focus on community values. He directs the UBC Coastal Adaptation Lab and leads the transdisciplinary project Living with Water , funded by the Pacific Institute for Climate Solutions. Education: MDesS, Harvard Graduate School of Design MSc, Wageningen University BSc, Wageningen University His work intersects coastal adaptation, urban ecology, and climate-resilient design, emphasizing collaboration with Indigenous communities and governmental stakeholders. Research outcomes have been published in journals like Journal of Landscape Architecture and Landscape Research . Scientific Trends: Recent articles explore fluid geographies, flood-resilient landscapes, and integrating Indigenous knowledge into coastal adaptation. Key subfields include design frameworks for uncertainty, GIS-based risk visualization, and urban metabolism applications. Awards & Funding: CELA 2019 Excellence in Research and Creative Work Award (Junior Level) Natural Resources Canada Social Sciences and Humanities Research Council Creative Industries Fund NL Hampton New Faculty Grant Professional Practice: He has practiced at Piet Oudolf’s office in the Netherlands and Terry Guen Design Associates in Chicago, and founded Parallax Landscape . His lab collaborates with Squamish and Tsleil-Waututh First Nations on coastal flooding solutions.

Guirong Yanمشاهده پروفایل

استادیار

• Structural Engineering
• Disaster Recovery
• Wind Engineering
• +۴ مورد دیگر

Guirong Yan is an Assistant Professor at Missouri University of Science and Technology, affiliated with the Department of Civil, Architectural and Environmental Engineering. Her research focuses on structural engineering , wind engineering , and disaster resilience , with particular emphasis on tornado impact analysis, typhoon wind field modeling, and community recovery frameworks. Research interests include: Tornado-structure interaction using CFD simulations Surface roughness and terrain effects on extreme wind dynamics Community resilience modeling for post-disaster recovery Solitary wave energetics in coastal engineering 3D concrete printing for resilient infrastructure Windborne debris and wind tunnel validation Key article trends show computational fluid dynamics applications to tornado and typhoon hazards , wind-structure interaction , and community recovery mechanisms . Her work bridges engineering simulation , disaster risk assessment , and policy-relevant resilience strategies .

• Virtual Reality
• Spatial Ability
• Product Design
• +۸ مورد دیگر

Kristi Bartlett is an Assistant Professor in Product Design at the University of Kentucky, specializing in virtual reality, spatial ability assessment, and equity in design education. Her work bridges technology and pedagogy through projects like the OVPR Curate Program and UNITE Research Priority Area initiatives. Doctor of Philosophy, Purdue University (2023) Master of Science, University of Houston (2019) Research interests focus on: Virtual reality applications in design education Equity and inclusion in design disciplines Critical analysis of spatial skills assessment tools Generative AI ethics in creative processes Interdisciplinary medical device development Collaborative virtual learning environments Recent publications analyze AI-generated design renders, mental rotation assessment in VR, and gender dynamics in industrial design. Her projects examine immersive technologies, historically excluded student experiences, and sustainability integration in engineering curricula. Current grants include: Comparing Physical and Virtual Reality Product Models (2025-2026, UK OVPR) Mixed Reality in Product Design Education (2024-2025, UK IRC) Equity in Healthcare Design (2024-2025, UK UNITE) Historically Excluded Students in Design (2024-2025, UK UNITE)

Vincenzo Maria Sglavoمشاهده پروفایل

استاد

• Materials Science
• Ceramics
• Glasses
• +۱۲ مورد دیگر

Vincenzo Maria Sglavo is a Full Professor of Materials Science and Technology at the Department of Industrial Engineering , University of Trento , Italy. He coordinates the Doctoral Program in Industrial Innovation (M.D. 45/2013) and has held academic appointments at The Pennsylvania State University (Postdoctoral Fellow, 1993-1994) and as Adjunct Professor there (2001). His career spans over three decades, including roles as Assistant Professor (1989-1999) and Associate Professor (1999-2018) at the University of Trento. Education: Master’s in Materials Engineering (cum laude), University of Trento (1988) Research Interests focus on glasses and ceramics , with expertise in fatigue and fracture mechanics , chemical strengthening , high-strength ceramics , flash and cold sintering , solid oxide fuel cells (SOFC/SOEC), and 3D printing of inorganics . His work bridges fundamental material behavior and industrial applications, particularly in energy, construction, and biomedical fields. Recent publications highlight innovations in ultrafast high-temperature sintering for ceramics, 3D-printed alumina , alkali-activated limestone for construction, and plasma-assisted ammonia synthesis . He explores entropy-stabilized composites, glass joining techniques, and iron speciation effects in aluminosilicates. Scientific Awards include the AIMAT Prize (1996) AIAS Prize (2000) Outstanding Reviewer Award, Scripta Materialia (2019) Pfeil Award (2022) Nanomaterials 2023 Best Paper (Second Award) Fellow, European Ceramic Society (2023) Advising and Grants: He has advised 34 PhD students and over 100 Master’s theses , managing 50+ research projects funded by NATO, the EU, MUR, and private companies. His editorial roles include Associate Editor for the Journal of the American Ceramic Society and Frontiers in Ceramics . Labs and Teams: He collaborates with institutions like the Joint Research Centre (EC) , Universidade de San Carlos , and Instituto de Cerámica y Vidrio . His work integrates academic research with industrial consultancy, addressing technical challenges in ceramics, glass, and sustainable materials.

• Mechanical Engineering
• Artificial Intelligence
• Tribology
• +۳ مورد دیگر

Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.

Megan Hofmannمشاهده پروفایل

استادیار

• Accessibility and Fabrication
• Digital Fabrication in Healthcare
• Machine Knitting Automation
• +۵ مورد دیگر

Megan Hofmann is an Assistant Professor holding dual roles at Northeastern University's Khoury College of Computer Sciences and the Department of Mechanical and Industrial Engineering (College of Engineering). She earned her PhD in Human-Computer Interaction from Carnegie Mellon University in 2022. Her research focuses on accessibility and digital fabrication, particularly in healthcare contexts, including automated machine knitting and medical making. She leads the Accessible Creative Technologies (ACT) Lab, which develops tools like Maptimizer (custom tactile maps), OPTIMISM (collaborative optimization frameworks), and KnitGIST (generative knitting design). Her work addresses challenges in assistive technology fabrication, such as creating accessible medical devices and optimizing rapid prototyping in healthcare. Recent projects include NSF-funded research on interactive smart textiles and studies on distributed manufacturing during the COVID-19 pandemic. Hofmann’s contributions span interdisciplinary domains, blending computer science, mechanical engineering, and healthcare innovation. Grants & Awards: Recipient of a $550,000 NSF grant for smart textile tools (2024). Labs: ACT Lab focuses on inclusive digital fabrication systems.

• Fashion Design
• Digital Fashion
• Wearer Behaviour
• +۴ مورد دیگر

Wendy Moody is a Senior Lecturer in Fashion Design and Course Leader for the BA (Hons) Fashion Design degree at Anglia Ruskin University (ARU), based at the Cambridge School of Art within the Faculty of Arts, Humanities, Education and Social Sciences. Her academic career spans institutions including Liverpool John Moores University and the University of Manchester, where she managed a Masters in Enterprise program. Her educational background includes a PhD from Liverpool John Moores University (collaborating with University of Liverpool and University of Bangor) on clothing psychology and self-perception, an MPhil in Sensing the Fabric, an MA in Fashion and Textiles from Manchester Metropolitan University, and a BA (Hons) in Fashion and Textiles from Liverpool John Moores University. Wendy's research integrates digital fashion design with psychological neuroscience , examining how self-concept, emotions, and body perception influence wearer behavior. Her work pioneers sustainable digital fashion through CLO3D software, virtual reality, and gaming collaborations to simulate sensory experiences without physical waste. Current projects explore haptic feedback in virtual environments and zero-waste textile applications. Publication trends reveal consistent interdisciplinary evolution from fMRI neuroscience foundations toward digital fashion innovation, with recent work emphasizing sustainability and cross-industry technology integration. Professional recognition includes: Fellow, Higher Education Academy She has supervised doctoral candidates including Mary-Jane Montgomerie Housem (Hausa Wrapper textile research) and Natasha Haswell (plus-size consumer behavior), while securing consultancy grants from Sloggi for product development and Warrington Fashion Week for industry reporting. Her research extends through international fashion illustration exhibitions and active membership in the UK Fashion and Textile Association. Current initiatives focus on advancing digital fashion pedagogy through 3D design modules and expanding gaming collaborations to revolutionize sustainable fashion prototyping.

Steven B. Vosمشاهده پروفایل

استاد

• Sports Science
• Health Technology
• Wearable Devices
• +۳ مورد دیگر

Steven B. Vos is a Full Professor at Eindhoven University of Technology (Department of Industrial Design) and Head of Research at Fontys University of Applied Sciences' School of Sports Studies. He holds a master’s in Social Psychology and a PhD in Kinesiology and Sport Policy from KU Leuven. His research focuses on designing intelligent systems to enhance physical activity, sports, and vitality through wearable technologies and behavioral interventions. He contributed to establishing sports & vitality as a strategic research topic in TU/e's roadmap. Research Interests: Wearable devices for health monitoring Behavioral change techniques in physical activity Sedentary behavior reduction in office environments Interdisciplinary collaboration in technology development Recent Work Trends: His publications emphasize real-time wearable feedback systems, digital tools for knowledge workers, and collaborative design methodologies. Articles often bridge technology, sports science, and public health. Awards: Best Demo Honorable Mention DIS 2020 Delta Prize (€500k) for practice-based research (2021) Honorable Mention Awards for DIS 2021 contributions Grants & Projects: Led projects like ProVita KIC Health (2017) and Nano4Sports (2017-2019), focusing on design exploration and feedback mechanisms. Collaborates with industry partners like Imec NL and Golazo SX. Labs/Teams: Vitality Academy, EAISI Health initiative, and Living Labs for applied research in vitality and preventive health.

Stephanie Valenciaمشاهده پروفایل

استادیار

• Accessibility and Inclusive Design
• Human-Computer Interaction
• Health Informatics
• +۵ مورد دیگر

Stephanie Valencia is an Assistant Professor in the College of Information at the University of Maryland. Her research focuses on equitable access to assistive technologies (AT), particularly augmentative and alternative communication (AAC) systems for underrepresented groups. She employs participatory design methodologies to develop AI-driven and open-source solutions, emphasizing user agency, accessibility, and real-world impact. Valencia holds a Ph.D. from Carnegie Mellon University's Human-Computer Interaction Institute. Affiliations: Human-Computer Interaction Lab (HCIL), Maryland Initiative for Digital Accessibility (MIDA), Organizational Teams & Technology Society (OTTRS), Values-Centered Artificial Intelligence (VCAI) Initiative Key Projects: Ijwi AAC device for Rwanda's schools, DIY communication tools with AAC users, and low-cost open-source AT Her work addresses global disparities in AT access, with recognition including MIT Technology Review's Innovators Under 35 (2017) and multiple best-paper awards. She actively collaborates with UNICEF and Rwandan educational systems to scale inclusive technologies.

• Human-Robot Interaction
• Virtual Reality (VR)
• Industry 5.0
• +۵ مورد دیگر

Federica Nenna is an Assistant Professor at the University of Padua, specializing in human-centered technologies within industrial settings. Her research focuses on human-robot collaboration, virtual/augmented reality applications in Industry 5.0, and neurophysiological aspects of human-machine interactions. She investigates how age, cognitive load, and psychological factors influence workers' performance in advanced manufacturing environments. Her work emphasizes ergonomics and safety in digital innovation, particularly through the use of eye-tracking, cardiac monitoring, and entropy analysis to assess user performance and workload. Key themes include trust dynamics in collaborative robotics, teleoperation systems, and the design of inclusive workstations for senior workers. Nenna’s research bridges neurophysiology, engineering, and occupational health to create safer, more efficient industrial environments. Publications highlight trends in VR/XR-based digital twins, human-centric risk management in digital transformation, and the physiological correlates of learning in robotic task environments. She advocates for a human-centered approach to Industry 5.0, addressing both technological and psychological barriers to adoption. Current projects explore cross-age usability of teleoperation interfaces and the integration of biometric feedback for real-time safety monitoring. Notably, she developed the SAFE GYMS IoT system for workplace safety and contributed to the SAFE TALK mobile application for mental health support during isolation. These innovations reflect her commitment to applying cutting-edge technologies to improve both productivity and well-being in rapidly evolving workspaces.

• Data Visualization
• Geographic Information Systems (GIS)
• Energy Consumption Analysis
• +۳ مورد دیگر

Sarah Goodwin is an academic affiliated with City, University of London, focusing on visualization techniques, geodemographics, and energy consumption analysis. Her work bridges computer science and geographic information systems (GIS), emphasizing user-centered design and collaborative methodologies. She holds a PhD in Visualisation for Household Energy Analysis from City University London (2015). Her research explores multivariate data visualization, particularly in energy-based geodemographic classifications and the impact of scale and geography on data interpretation. Notable contributions include frameworks for creative visualization workshops and topology-preserving map deformations for dissimilarity data. She has received the VAST 2012 Mini Challenge Award for Efficient Use of Visualization. Publications span journals like IEEE Transactions on Visualization and Computer Graphics, and she has presented at conferences such as IEEE VAST and GIS Research UK. Her work addresses energy consumption patterns, network health monitoring, and spatial data analysis. Current research emphasizes innovative visual methods for complex data exploration across scales and geographic contexts.

• Internet of Things
• RFID and antenna design
• Wireless sensor networks
• +۵ مورد دیگر

Turke Althobaiti is an active researcher and faculty member whose recent work is concentrated in electrical and computer engineering, with strong interdisciplinary links to computer science and biomedical informatics. Based on co-author affiliations and publication scopes, he is associated with King Saud University, College of Engineering, Department of Electrical Engineering . Research Interests: Design of UHF RFID antennas and Internet-of-Things sensing systems. Localization and communication in smart cities, including non-line-of-sight mitigation and 5G/6G networks. Machine-learning-driven healthcare applications—ranging from COVID-19 detection via chest X-rays to arrhythmia and pneumonia screening. Assistive technologies for the visually impaired, employing contactless RF sensing and AI-based navigation aids. Cloud-security solutions, specifically ensemble intrusion-detection systems against flash-crowd attacks. Cross-disciplinary forays into metabolomics biomarkers and human-animal affective computing. Across 15 recent publications (2019-2025), Althobaiti demonstrates a clear trajectory toward AI-enabled sensing and communication . Workflows combine hardware-level innovations (antennas, RFID tags, USRP radios) with data-level advances (deep learning, ensemble methods, privacy-preserving techniques) to address real-world problems in healthcare, smart cities, and assistive living. Scientific Awards & Recognition: No specific awards are listed in the provided text. Advising & Grants: While no explicit list of students or funded projects is given, the high volume of multi-institutional collaborations and senior-author positions suggest active supervision of graduate researchers and participation in funded projects, most likely supported by the Deanship of Scientific Research at King Saud University or similar Saudi funding bodies. Laboratories & Teams: Though no formal laboratory names are provided, the breadth of hardware prototyping, RF experimentation, and AI model development implies access to well-equipped laboratories in RF/microwave engineering, embedded systems, and computational intelligence.

Furui Chengمشاهده پروفایل

پژوهشگر ارشد

• Human-Centered AI
• Explainable Machine Learning
• Visual Analytics
• +۳ مورد دیگر

Furui Cheng is a Research Fellow at ETH Zürich's Department of Computer Science, affiliated with the IVIA Lab under Prof. Menna El-Assady. His research focuses on Human-Centered AI, combining data visualization with explainable machine learning to enhance decision-making. He holds a PhD from the Hong Kong University of Science and Technology (2022), advised by Prof. Huamin Qu. Education: PhD in Computer Science (HKUST, 2022); Previous academic background includes studies emphasizing visualization and machine learning integration. Research interests span LLM transparency, interactive ML frameworks, and healthcare AI applications. Notable projects include Polyphony (single-cell data analysis), VBridge (healthcare model explanations), and DECE (counterfactual exploration systems). His work has received awards such as the Best Paper Honorable Mention (VIS'21) and Best Abstract Award (BioVis@ISMB). Key contributions include advancing model interpretability through visual analytics, with applications in clinical decision-making and genomics. Ongoing efforts focus on aligning AI systems with user knowledge and ensuring trustworthy decision processes.