جست‌وجوی استاد و پژوهشگر

Nadia Amorosoمشاهده پروفایل

دانشیار

• Landscape Architecture
• Data Visualization
• Creative Mapping
• +۵ مورد دیگر

Nadia Amoroso is an Associate Professor in the Department of Landscape Architecture at the University of Guelph, affiliated with the School of Environmental Design and Rural Development. She holds a PhD from University College London and degrees from the University of Toronto. Her research focuses on visual communication in landscape architecture, digital design, data visualization, and GeoDesign, with emphasis on creative mapping and urban data analysis. She co-founded DataAppeal, a company developing 3D GIS tools for accessible data visualization. Amoroso leads the Digital Design Research Hub (DDRH), exploring hybrid design methods combining traditional and digital techniques. She has authored influential books like The Exposed City: Mapping the Urban Invisibles and Representing Landscapes series. Awards include the CFI-JELF Award (2018) and CELA Communications Award (2018). Her teaching spans design visualization, digital technologies, and environmental representation. She advises student projects like the award-winning Winter Stations installation, blending climate change themes with public art. Education : PhD Architectural Design, University College London (2010) MUD Urban Design, University of Toronto (2002) BLA Landscape Architecture, University of Toronto (2000) Research Interests : Data visualization & creative mapping GeoDesign and spatial analysis 3D datascaping for urban planning Digital design pedagogy Visualization of environmental data Grants & Projects : Canada Foundation for Innovation funding for DDRH (2018) Winter Stations Competition win (2018) DataAppeal software development Affiliations : Ontario Association of Landscape Architects American Society of Landscape Architects Council of Educators in Landscape Architecture Labs/Teams : Leads the Digital Design Research Hub (DDRH) at U of Guelph, fostering experimental digital design practices.

Anthony Contaمشاهده پروفایل

استادیار مهمان

• User Experience (UX) Design
• Human-Computer Interaction
• Cognitive Load Theory
• +۷ مورد دیگر

Anthony Conta is a Visiting Assistant Professor at the School of Information at Pratt Institute, where he contributes to the academic development of future designers through teaching and mentorship. With over a decade of experience in design across entertainment, education, and media, he brings real-world expertise into the classroom. He has taught at CUNY and led design bootcamps, demonstrating a strong commitment to design education at multiple levels. His research and professional interests lie at the intersection of user experience, cognitive psychology, and digital product design. He emphasizes ethical design practices, user research methodologies, and the application of design thinking across industries. His work explores cognitive load, deceptive design patterns, survey design, and storytelling in UX, all aimed at creating more intuitive and humane digital experiences. His publications, particularly in UX Planet and UX Collective , reflect a consistent focus on foundational UX principles, practical frameworks, and case studies. These works span from 2018 to 2023 and show a trajectory toward both educational content and critical analysis of industry practices, including evaluations of platforms like Best Buy, Netflix, and Ling’s Cars. Themes include usability, discoverability, cognitive overload, and ethical responsibility in design. Notable honors include contributions to Webby award-winning products and Emmy-nominated interactive content, highlighting his impact in the professional design world. He has authored the book The Art and Science of UX Design (Pearson, 2023), which serves as a comprehensive guide for aspiring designers. Contributor to Webby award-winning products Contributor to Emmy-nominated interactive content Anthony Conta mentors emerging design talent on a 1:1 basis and has structured educational experiences around design for diverse audiences. He has worked with major clients including Amazon Music, Vimeo, Discovery-Food Network, Viacom-Nickelodeon, Kaplan, Boston Consulting Group, PricewaterhouseCoopers, and Mattel-Funemployed. While no formal advising of graduate students is listed, his extensive mentorship and teaching suggest a strong commitment to student development. There is no mention of research grants in the provided text. He is an active contributor to the design community through his writing on Medium, personal website, and professional networks. His work bridges academia and industry, making him a prominent figure in contemporary UX discourse.

• Emerging Construction Technologies
• Automation in Construction
• Robotic Construction
• +۱۵ مورد دیگر

Nuno Antonio da Silva is an Associate Researcher at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture) at ISCTE-University Institute of Lisbon, specializing in the Digital Living Spaces group. He completed his PhD in Architecture in September 2024 with a thesis titled "Advancing Construction Technologies: Integrating Human-Machine Collaboration and Drone Robotic Construction in a Comprehensive XR-Simulated Environments Methodology." His research focuses on how advanced technologies—automation, robotics, computational design, and simulation tools—can transform architectural practices to address critical global challenges such as housing crisis, sustainability, social equity, and climate resilience. Dr. da Silva earned his Integrated Master's Degree in Architecture (2012-2017) and completed Visual Arts studies (2009-2012) at José Saramago Secondary School. His academic journey began with a bachelor's degree in architecture from Universidade Lusófona in Lisbon (2015), followed by a master's in architecture from Iscte-IUL (2017). His research expertise centers on digital technologies applied to construction and architectural design, with particular focus on robotics, virtual and augmented reality simulations, and human-machine cooperation environments. Dr. da Silva has developed innovative VR/AR simulation tools to enable human-robot collaboration in construction environments, specifically where workers interact with robotic technologies including drones. His work bridges theoretical research with practical implementation through industry collaborations, developing real-world prototypes that address the gap between academic research and practical application in architecture and construction. His publication record reveals a strong trajectory in robotic construction methodologies, with increasing sophistication in VR/AR simulation environments and growing attention to social impact considerations. His most cited work, "Robotic construction analysis: Simulation with virtual reality" (2022) in Heliyon (Q1), demonstrates significant scholarly impact with 15 Web of Science and 20 Scopus citations. Challenges and opportunities of using metaverse tools for participatory architectural design processes (2024) Robotic construction analysis: Simulation with virtual reality (2022) The Robotic Dance: a fictional narrative of a construction by drones (2021) A Quasi-real Virtual Reality Experience: Point Cloud Navigation (2021) Robotic construction: Robotic fabrication experiments for the building construction industry (2021) Currently, Dr. da Silva leads the experimental phase of the GreenCity4Aging project, developing VR-based user simulations to collect heart rate and eye-tracking data from elderly citizens, contributing valuable insights for designing inclusive, elder-friendly urban spaces. During his PhD, he led an interdisciplinary team of five in collaboration with NexusUAV, securing 80% of the funding needed for drone construction experiments, demonstrating his ability to translate research into practical applications with real-world impact. His research philosophy emphasizes the integration of digital and prefabrication technologies to foster sustainable and inclusive design in the built environment. Through his work with ISTAR-Iscte's multidisciplinary approach, he continues to develop research in robotic construction and AR/VR simulation environments, maintaining strong industry connections to ensure practical relevance of his academic work.

Andreas Harthمشاهده پروفایل

استاد

• Semantic Web
• Linked Data
• Knowledge Graphs
• +۸ مورد دیگر

Prof. Dr. Andreas Harth (born 1976) is a leading researcher in decentralized information systems and data portability, holding the Chair of Business Information Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg while heading the Data Spaces and IoT Solutions department at Fraunhofer IIS. His work bridges Semantic Web technologies with industrial IoT applications, focusing on making enterprise data context-independent. Research areas: Semantic Web, Linked Data, Knowledge Graphs, IoT, Industry 4.0 Key projects: i-VISION, ARVIDA, PlanetData, MEREGIOmobil Academic background: PhD from Digital Enterprise Research Institute (2010), Karlsruhe Institute of Technology habilitation (2016) Former affiliations: Stanford University, University of Southern California, University of Heidelberg Harth's research emphasizes data integration through formal logic and graph-based representations, enabling companies to merge shipment data with commercial records or optimize warehouse processes using RFID and near-field detection. His 2019-2023 publications reveal a trend toward entity-centric data fusion and real-time workflow execution in dynamic environments. He advocates cloud alternatives like Nextcloud for SME data sovereignty and explores Solid technology for decentralized data control. Scientific Contributions: Co-developer of YARS2 federated query framework (2007) Key figure in JPEG XS ISO standard development (2025 Joseph von Fraunhofer Prize) Lead architect of FusE data fusion system (ACM Transactions, 2019) Primary investigator in multiple EU research initiatives (PlanetData, NeOn) Harth actively consults with manufacturing companies through Fraunhofer IIS' Supply Chain Services division, applying rapid IoT prototyping for cost-effective digitalization. He leads the Semantic Web Lab, creating machine-readable workflow models for industrial applications.

• Cardiovascular Health
• Physical Activity Referral Schemes
• Public Health
• +۴ مورد دیگر

Dr. Coral Hanson is a Senior Research Fellow at the Edinburgh Napier University 's School of Health and Social Care. Her work focuses on cardiovascular health, physical activity referral schemes (PARS), public health policy, and eHealth interventions. Specializations: Physical activity promotion, cardiac rehabilitation, digital health, patient-centered care Affiliations: Centre for Cardiovascular Health, Public Health Scotland collaborators Research Interests: She investigates how physical activity interventions improve outcomes for cardiovascular patients, develops guidelines for activity promotion, and evaluates technology-enabled rehabilitation programs. Her work addresses implementation challenges in healthcare systems and social determinants of program uptake. Recent Projects: Includes AI applications in lifestyle change, remote exercise support for SCAD survivors, and national rehabilitation dataset creation. She pioneered the ASsessing cardiovascular risk, MOtivating change, and SUStaining healthier lifestyles digital training resource for nurses. Scientific Awards: Burdett Trust for Nursing grants Digital Health Institute funding Chest, Heart & Stroke Scotland support Chief Scientists Office awards Advising: Supervises advanced research students in areas like cardiac transitions, SCAD recovery, and AF management. Collaborates with institutions across UK, Australia, and Europe.

• Machine Learning
• Computer Vision
• Signal Processing
• +۳ مورد دیگر

Chenguang Liu is a researcher at Institut Polytechnique de Paris , France, with a focus on computational methods, machine learning, and control systems. His work bridges theoretical and applied research across multiple domains including computer vision, signal processing, and operations research. Key research areas: Machine Learning, Computer Vision, Computational Physics, Control Theory Notable publication trends: Develops novel algorithms for parallel computing, peridynamic modeling, and real-time systems Recent contributions include Bayesian neural networks for gas-bearing prediction, multi-agent reinforcement learning for UAV swarms, and domain adaptation techniques in object detection. He collaborates extensively with researchers in electrical engineering and applied mathematics disciplines.

• Digital System Design
• FPGA Design
• Embedded Systems
• +۴ مورد دیگر

Etienne Messerli is an Associate Professor at the School of Engineering and Management of the Canton of Vaud, affiliated with the Reconfigurable & Embedded Digital Systems (ReDS) Institute. His work focuses on digital system design, FPGA-based solutions, and embedded systems. He currently leads or co-leads multiple research projects involving high-speed communication systems, quantum random number generation, and open-source instrumentation platforms. Key projects include the development of a high-performance FPGA IP core (JESD204B) for data converters, a self-testing quantum random number generator (QRNG), and the EASY-PHI open-hardware instrumentation platform. His research emphasizes practical implementations and collaboration with industry partners. He actively participates in conferences such as EDERC and NASA/ESA AHS, contributing to advancements in embedded system education and adaptive hardware systems. His work bridges theoretical quantum cryptography concepts with real-world hardware implementations, addressing security and performance challenges in modern communication systems.

• Sonification
• Audio-Visual Analytics
• Data Visualization
• +۳ مورد دیگر

FH-Prof. Dr. Michael Iber is a faculty member at the St. Pölten University of Applied Sciences, affiliated with the Department of Media and Digital Technologies. He holds academic roles including Academic Director of GRACE (MA) and E³UDRES², and serves as International Coordinator. His research focuses on sonification, audio-visual analytics, and interdisciplinary applications in healthcare and production systems. Education & Background Studied piano at Karlsruhe University of Music and Royal Academy of Music, London Interdisciplinary doctorate in 'Auditory Logistic Analysis' (Jacobs University Bremen) Research Interests Iber's work bridges art and technology, emphasizing multimodal data analysis through sound and visual interfaces. Key areas include: Real-time sonification for healthcare (e.g., gait analysis via wearable devices) Audio-visual analytics for complex data exploration Applications in production logistics and cyber-physical systems Key Projects Leading initiatives like SoniVis (data analysis via audio/visual fusion) and SONIGait (wearable gait monitoring). Collaborates on EU-funded projects such as E³UDRES² and CARMA (healthcare tech). Publications & Recognition Over 40 peer-reviewed papers in journals like Personal and Ubiquitous Computing and conferences like EuroVis/IEEE VIS. Focus on interdisciplinary methodologies and practical implementations.

• Blockchain Technology
• Cryptography
• Big Data
• +۵ مورد دیگر

Gautam Srivastava is a Professor in the Department of Mathematics & Computer Science at Brandon University (BU), holding concurrent roles as Visiting Professor at Lebanese American University and Adjunct Associate Professor at Lakehead University. His research focuses on Blockchain Technology, Cryptography, Big Data, and Privacy-Preserving Systems. He actively supervises graduate students requiring strong academic credentials. Education: Ph.D. (Computer Science, University of Victoria, 2012), M.Sc. (Computer Science, University of Victoria, 2007), B.Sc. (Mathematics & Computer Science, Briar Cliff University, 2004) Roles: Holds visiting appointments at institutions in Lebanon, Taiwan, and China, and leads research in Cyber-Physical Systems and IoT Security. His research interests emphasize secure communication protocols, federated learning frameworks, and applications of AI in healthcare and industrial systems. Notable work includes blockchain-enhanced IoT security and privacy-preserving machine learning models. Awards: Best Oral Presentation at Fuzzy Systems and Data Mining (FSDM 2017) Grants: Over $200K in funding from NSERC, MITACS, and CIRA for projects on IoT security, federated learning, and edge computing. Dr. Srivastava’s current projects explore quantum-resistant MQTT protocols, federated learning for healthcare diagnostics, and smart city sensor systems.

Jacques de Chalendarمشاهده پروفایل

استاد مدعو

• Energy Systems
• Climate Change Mitigation
• Optimization
• +۳ مورد دیگر

Jacques de Chalendar is an Adjunct Professor in the Energy Science & Engineering department at Stanford University. He is an Independent Research Consultant for TotalEnergies and affiliated with the Benson Lab. His research focuses on low-carbon energy systems, energy efficiency, and optimization of infrastructure through data-driven approaches. De Chalendar holds a PhD in Energy Resources Engineering from Stanford (2020), an MSc from Stanford (2016), and a BSc/MSc from École Polytechnique (2014). Key research areas include emissions tracking in power systems, flexible urban energy systems, and building energy flexibility experiments. His work emphasizes integrating mathematical modeling, software engineering, and real-world prototyping to reduce energy consumption and carbon footprints. Notable projects include the COOLER Research Program for commercial building efficiency and real-time grid emissions monitoring at energy.stanford.edu/gridemissions. De Chalendar teaches ENERGY 104/204, exploring global energy transitions through computational modeling. He collaborates across disciplines with engineers, mathematicians, and economists to address large-scale decarbonization challenges. His experiments demonstrate scalable solutions like thermal storage optimization and demand response mechanisms in multi-zone buildings.

Murilo Marinhoمشاهده پروفایل

مدرس

• Robotics
• Surgical Robotics
• Medical Robotics
• +۵ مورد دیگر

Murilo Marinho is a Lecturer in Robotics Engineering Systems at the EEE department, with past roles including Assistant Professor (University of Tokyo, 2019–2023) and Research Associate (University of Tokyo, 2018–2019). His research focuses on surgical robotics, space robotics, and nuclear robotics, with over 50 peer-reviewed publications in top journals like T-RO, RAM, RA-L, T-MRB, and IJMRCAS. He leads the development of the SmartArm surgical robotic system, recipient of the Surgical Robot Challenge 2019: Overall Winner Award , and won the IROS'23 Best Application Paper Award for shared autonomy in vitreoretinal surgery. Teaching responsibilities include EEEN62021 Software for Robotics and EEEN62012&42012 Robotic Manipulators . His work aligns with UN Sustainable Development Goals in healthcare and innovation. Notable contributions include autonomous control algorithms using dual quaternions and vector-field inequalities, validated through surgical simulators and physical prototypes. Research Highlights : Autonomous robotic systems for minimally invasive surgery Multi-arm robotic platforms for space exploration Surgical training simulators with haptic/visual realism Open-source robotic hardware/software (e.g., UMIRobot) Awards : IROS'23 Best Application Paper Award (2023) Surgical Robot Challenge 2019 Overall Winner (2019) University of Tokyo Dean's Commendation for Teaching Excellence (2021) Collaborations include the Centre for Robotic Autonomy in Demanding and Long Lasting Environments (CRADLE) , focusing on advanced robotic autonomy in harsh environments. Active in developing surgical simulators, teleoperation frameworks, and digital twin technologies for robotic validation.

• Precision Livestock Farming
• Data Analysis
• Image and Signal Processing
• +۴ مورد دیگر

Helen Schomburg is a researcher at the Institute of Animal Welfare and Animal Husbandry (ITT), focusing on advanced technological solutions to enhance animal welfare and optimize farming practices. Her work integrates Precision Livestock Farming with Machine Learning and Image Processing to develop automated monitoring systems for livestock. Education: Dr. rer. nat. (Doctorate in Natural Sciences) Research Interests: Her research spans Precision Livestock Farming , Data Analysis , and Machine Learning , with a focus on applying Pattern Recognition and Signal Processing to assess animal behavior and health. She specializes in creating digital tools for real-time welfare monitoring in pigs and poultry. Publications & Projects: Schomburg's recent work includes designing the Bite-o-Mat device for tail biting detection in pigs and prototype systems for broiler chicken activity monitoring using elevated platforms with integrated sensors. Her contributions emphasize reducing labor intensity and improving early intervention through automated data analytics. Labs & Teams: She collaborates with colleagues like Prof. Dr. L. Schrader, Dr. J. Knöll, and Dr. A. Patt, contributing to initiatives such as the ErhEb project under the European Partnership Animal Health & Welfare. Her efforts align with the Experimental Station Celle, promoting innovation in farm animal environments.

Ke Yiمشاهده پروفایل

استاد

• Database theory and systems
• Query processing
• Data security and privacy
• +۷ مورد دیگر

Ke Yi is a Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), where he also serves as Director of the MSc Program in Big Data Technology. His research spans database theory and systems, query processing, data security and privacy, parallel and distributed algorithms, and computational geometry, with a focus on bridging theoretical guarantees with practical implementations. Dr. Yi earned his B.Eng. in Computer Science and Technology from Tsinghua University (1997-2001) and his Ph.D. in Computer Science from Duke University (2001-2006), advised by Professors Pankaj K. Agarwal and Lars Arge. Before joining HKUST in 2007, he was a Research Specialist at AT&T Labs-Research (2006-2007). His research interests center on database theory and systems with particular emphasis on query processing techniques, data security and privacy mechanisms, and efficient algorithms for big data. Yi's work consistently demonstrates the rich interdependence between theoretical foundations and practical implementations, favoring simple algorithms with elegant analyses that provide valuable insights for real-world applications. His research group has developed several notable system prototypes including Quorion (query optimization), DPSQL (differentially private SQL), SparkSQL+ (next-generation query planning), SecYan (secure query processing), CROWN/Cquirrel (continuous query processing), and XDB (online aggregation). Yi's publication record shows a clear evolution toward privacy-preserving database technologies, particularly differential privacy, with an increasing focus on practical implementations that maintain theoretical guarantees. His recent work has centered on query processing under differential privacy, secure multi-party computation for databases, and efficient algorithms for big data analytics, demonstrating consistent contributions to both theoretical foundations and practical systems. ACM SIGMOD Best Paper Award (2016, 2022) ACM PODS Test-of-Time Award (2022) ACM Distinguished Member (2021) Multiple ACM SIGMOD Best Paper Honorable Mentions Google Faculty Research Award (2010) HKUST School of Engineering Young Investigator Research Award (2012) Professor Yi has supervised numerous Ph.D. and MPhil students, many of whom have gone on to prestigious academic and industry positions at institutions including Nanyang Technological University, University of Waterloo, EPFL, Alibaba Cloud, and Google. His research has been generously supported by Hong Kong RGC, Alibaba, Huawei, ByteDance, Microsoft, and Google. In addition to his research leadership, Yi has made significant contributions to the academic community through editorial roles (ACM TODS, IEEE TKDE), program committee chairs (PODS 2026, ICDT 2021), and numerous service roles in top database conferences. His laboratory, the HKUST Database Lab (hkustDB), has become a leading center for database research in Asia, developing innovative prototypes that bridge theoretical database research with practical implementations. The lab maintains active GitHub repositories for their open-source projects and collaborates extensively with both academic and industry partners worldwide.

Kimberly Sheenمشاهده پروفایل

مدرس

• User Experience (UX)
• Educational Technology
• Cognitive Ergonomics
• +۴ مورد دیگر

Kimberly Sheen, PhD , is a Lecturer in Digital Design and Communication at the School of Design , University of Leeds. Her work bridges user experience (UX), educational technology, and cognitive ergonomics, with a focus on accessible and equitable design. Her research explores: Cognitive ergonomics in digital interfaces Educational technology adaptation during pandemics Equity in hybrid/online learning environments Interactive design for electronic textbooks Recent publications include studies on hybrid teaching technologies (2022), UX frameworks for pandemic-era degree apprenticeships (2021), and cognitive ergonomics in digital reading (2018). She won the Hong Kong Ergonomics Society’s Student Project Award for her PhD work. Kimberly holds a PhD in Design and Technology from Hong Kong PolyU, an MSc in Human-Computer Interaction with Ergonomics from UCL, and a BA in English Literature with a minor in Communications. She serves as Deputy Programme Leader for the MA in Digital Design and Communication, teaching courses on UX, web design, and hybrid learning systems. Her consultancy projects with external companies focus on data dashboard redesign and telepresence robotics.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۸ مورد دیگر

Harald Reiterer is a researcher affiliated with the University of Konstanz , Germany. His work spans Human-Computer Interaction (HCI) , Augmented Reality (AR) , Virtual Reality (VR) , and Mobile Health over three decades. Key Research Areas : Cognitive workload measurement, collaborative immersive analytics, spatial memory in AR/VR, hybrid user interfaces, persuasive technology for health behavior change. Scientific Contributions include designing AR/VR systems for collaborative workflows, evaluating ergonomic patient transfers, and developing tools for visualizing spatio-temporal data. His recent work focuses on haptic props for AR, cognitive load assessment via eye tracking, and multimodal feedback in VR cockpits. Publication Trends : 15+ recent papers on AR/VR interaction techniques, mixed reality visualization, and health-focused digital interventions.