جستجوی استاد راهنمای دانشگاهی

Kyle Konis is an Associate Professor of Architecture and Director of the Chase L. Leavitt Master of Building Science Program at the University of Southern California's School of Architecture. He holds a Ph.D. in Architecture (Building Science) from UC Berkeley, an M.Arch from Yale University, and a B.A. in Architectural Studies from the University of Washington. His research focuses on aligning building performance with human needs through participatory evaluation techniques, data-driven design tools, and evidence-based practices in sustainability and healthcare environments. Prof. Konis has led six externally funded research projects, including grants from the AIA Upjohn Initiative and California Energy Commission. His work emphasizes occupant-centric design, with notable contributions to daylighting strategies, circadian lighting in dementia care facilities, and energy-efficient building systems. He is a licensed architect in Washington and California. Education: B.A. Architectural Studies, University of Washington M.Arch, Yale University Ph.D., Architecture (Building Science), UC Berkeley His research interests include sustainable building practices, occupant well-being, and the application of technology to improve design outcomes. Notable projects include studies on thermal comfort databases, participatory sensing frameworks (TrojanSense), and circadian design tools. He has authored or co-authored over 30 peer-reviewed articles and a Springer-published book on daylighting. Awards: 2016 ARCC New Researcher Award 2015 ACSA New Faculty Teaching Award 2015 ACSA Housing Design Education Award 2015 BTES Emerging Faculty Award Prof. Konis teaches courses on architectural sustainability, environmental systems, and interactive computing in design. His lab integrates real-world data collection with computational modeling to bridge gaps between design intent and building performance. Ongoing work explores climate-responsive interventions for at-risk communities and the role of lighting in mental health contexts.

• Building Science
• Sustainable Architecture
• Occupant-Centric Design
• +۴ مورد دیگر

Dr. Ding Zhou is an Assistant Professor at the School of System Design and Intelligent Manufacturing (SDIM) at Southern University of Science and Technology (SUSTech). He holds a PhD in Industrial Design from Queensland University of Technology (QUT), Australia (commenced 2018), and prior academic roles include Associate Professor at Nanjing University of the Arts (2009–2018). His research focuses on cross-disciplinary innovation at the intersection of Industrial Design and STEM Education, emphasizing human-centric technology integration. He has conducted visiting research at the University of Virginia (2012) and Victoria University of Wellington (2014–2015). Education: PhD in Industrial Design, Queensland University of Technology (QUT), Australia (ongoing since 2018) M.A. and B.A. in Industrial Design (exact institutions unspecified) Research Interests: Dr. Zhou’s work bridges design science and education, prioritizing how technology enhances human experiences. Key areas include 3D printing applications in STEM education, exoskeleton robotics, computational design aesthetics, and user-centric design processes. He advocates for pedagogical frameworks that cultivate students’ transdisciplinary problem-solving skills through integrated STEM tasks. Articles Trends (2022–2025): Recent publications highlight advancements in 3D printing for education and manufacturing, human-robot interaction, and smart classroom technologies. Notable themes include scalable computer vision systems for posture detection, topology optimization in additive manufacturing, and BIM-enabled construction processes. Labs & Teams: He leads the Design Science and Educational Innovation Lab (DSEIL), focusing on translating theoretical research into practical educational tools and technologies.

• Industrial Design
• STEM Education
• Human-Computer Interaction
• +۳ مورد دیگر

Rochus Urban Hinkel is an Associate Professor in Architecture and Design at the University of Melbourne (since 2020), affiliated with the Melbourne School of Design. Previously held professorships at OTH Regensburg (2016–2020) and Konstfack University, Stockholm (2014–2019). A member of BDA Germany and recipient of the BDA Preis Bavaria award. His work spans architectural practice, research, and curatorial activities, focusing on experimental installations exploring human-environment interactions across urban/rural, analog/digital, and public/private realms. Research interests include: - Urban and interior design theory - Spatial agency in public spaces - Digital environments and pandemic adaptations - Bauhaus legacy in design education - Temporary and ephemeral urban interventions Curated architecture exhibitions at Weißenhof (Stuttgart) and Bamberg’s A2 Architecture Week Advisory roles: Board of Swedish Architects (Stockholm), Passau Urban Design (2019–present) Edited key publications: Urban Interior (2011), The Society of Interiors (2016) Recent projects include Voices of Country (2020), showcased at Ars Electronica, blending Indigenous Australian narratives with digital media. Active in design pedagogy, emphasizing hands-on studio practices and prototyping innovations. Awards: - BDA Preis Bavaria (Architecture award) - Invited membership in BDA Germany Grants and collaborations include support from the NExT Lab (Melbourne School of Design) for interdisciplinary projects.

• Architecture
• Interior Design
• Urban Design
• +۶ مورد دیگر

Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology at NTNU. Her work focuses on socio-technical approaches in ICT research, particularly in Quality of Experience (QoE), human-technology interactions, and ethical implications of technology. She co-edits the journal Quality and User Experience and leads the 5-year Master's program in Cybersecurity and Data Communication. Her research emphasizes user-centric innovation, digital ethics, and sustainable HCI. Education: PhD in Social Sciences from Ghent University (2012). Visiting researcher at TU Eindhoven, TU Berlin, and NTNU (Marie Curie Fellow). Research Interests: User Experience (UX) and QoE in immersive technologies Human behavior and ethical design Ecological validity in user studies Cybersecurity in critical sectors Long-term QoE assessment Publications highlight: Recent work explores ethical risks in smart environments, sustainable multimedia design, and user perspectives on parental controls. Her projects include Amplify (EU-funded), PERSEUS Doctoral Programme , and Cryptology and Social Life . Supervision: Active mentor to over 30 PhD students and researchers, focusing on cybersecurity, ethical AI, and human-centered design. Grants: Principal Investigator for the Norwegian TufiQoE project (2020-2024) and grants on digital carbon footprint awareness. Labs/Teams: Member of SFI NORCICS (Norwegian Cybersecurity Center) and the Young Academy of Norway. Leads interdisciplinary projects in human-centric networking and XR security.

• Quality of Experience (QoE)
• User Experience (UX)
• Cybersecurity
• +۶ مورد دیگر

Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.

• Spatial Statistics
• Quantitative Genetics
• Markov Chain Monte Carlo Methods
• +۳ مورد دیگر

Ayşe Başar is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University. She serves as Director of the Data Science Lab and Program Director of the Data Science Masters Program. Her research integrates machine learning and Bayesian methods to build predictive models and recommender systems, with applications in software engineering and healthcare. BSc, Boğaziçi University MASc, University of Alabama in Huntsville PhD, London School of Economics Her research focuses on advancing machine learning through Bayesian inference, deep reinforcement learning, and explainability. She develops models that simulate expert decision-making, particularly in complex environments like emergency rooms and software development. Her work emphasizes uncertainty quantification , social learning in networks , and evidence-based decision support systems . The selected publications reflect a strong trend in applying machine learning to real-world problems—particularly in software engineering defect prediction, healthcare team dynamics, and social network analysis. Her work consistently uses probabilistic modeling and ensemble methods to improve prediction accuracy and interpretability. Paper among top 3 most cited in Empirical Software Engineering Journal (2009–2014) Best Paper Award, AAAI (2010) Best Paper Award, IFIP/IEEE IM Symposium (2019) Best Paper Award, ESEM (2013) Dr. Başar actively supervises students and leads impactful research collaborations with institutions like St. Michael’s Hospital and IBM. She has held leadership roles including Director of Big Data for the Provost’s Office and Program Director for Data Analytics Certificates. She is an affiliated scientist at St. Michael’s Hospital and a research fellow at IBM CAS. She leads the Data Science Lab , which focuses on developing advanced machine learning models for complex decision-making. The lab works on projects involving large-scale data integration, predictive analytics, and human-in-the-loop AI systems.

• Machine Learning
• Bayesian Inference
• Decision Making under Uncertainty
• +۷ مورد دیگر

Ana Moreira is a Full Professor in the Computer Science Department at the Faculty of Science and Technology, NOVA University of Lisbon, and a leading researcher at NOVA LINCS, where she heads the Software Engineering group and serves on the Steering Committee. She is actively involved in major international conferences such as ICSE, MODELS, RE, and REFSQ, holding roles including Program Chair, Track Chair, and General Chair. Her research focuses on systematic approaches to software engineering, with emphasis on requirements engineering, model-driven development, sustainability engineering, and software quality. Key areas include stakeholder requirements, human values, quality attributes, and traceability in software product lines. She has pioneered work in early-phase modeling through co-founding the pUML and Early Aspects movements. Her publications span topics such as non-functional requirements in model-driven development, software sustainability, and neurodivergent-inclusive requirements elicitation. These reflect a strong trend toward human-centered, sustainable, and traceable software systems, combining theoretical rigor with practical impact. Best Paper Award (multiple) 10-Year Most Influential Paper Award on Aspects (2013) SoSyM Best 10-Year Paper Award (awarded at MODELS 2020) Ana has supervised 7 PhD students, co-supervised 2 from Brazil, advised 9 postdoctoral researchers, and guided over 60 MSc students. She has coordinated multiple research projects and holds leadership roles in academic governance, including on the Council Board of IREB and editorial boards of top journals like IEEE TSE, Requirements Engineering Journal, and SoSyM. She frequently organizes workshops such as MoDRE and contributes to journal-first tracks. She leads the Software Engineering group at NOVA LINCS, a premier research lab in computer science, and continues to shape the future of model-driven and sustainable software engineering through active collaboration, mentorship, and innovation.

• Requirements Engineering
• Model-Driven Development
• Sustainability Engineering
• +۱۲ مورد دیگر

Akarsh Prabhakara is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin–Madison, with an additional affiliation in the Department of Electrical and Computer Engineering. He earned his Ph.D. from Carnegie Mellon University in 2024, where he worked under Professors Anthony Rowe and Swarun Kumar. Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2024 B.Tech, Electronics and Communication Engineering, National Institute of Technology Karnataka, 2018 His research focuses on building high-fidelity wireless systems for perception and communication, particularly in cyber-physical and robotic applications. He explores machine learning-driven RF systems, novel communication paradigms, wireless-robotics integration, and embedded wireless sensing. His work aims to enable robust perception in challenging environments such as smoke or fog using millimeter wave radar and deep learning. His recent publications in CVPR, ICRA, MobiCom, and ICCV demonstrate a strong trend in using neural methods for radar simulation, super-resolution, and wireless intelligence. Key themes include implicit neural rendering for radar, end-to-end learning for perception, and high-resolution point cloud generation from low-cost sensors. His scientific contributions have been recognized through publications in top-tier venues, though specific awards are not mentioned in the provided text. He is actively involved in mentoring and recruiting students for research in wireless and robotics. He teaches courses such as Intro to Computer Networks and Big Ideas in Wireless: Perception and Communication . He leads research projects like RadarHD, which enables lidar-like perception from mmWave radar, and is developing tools and datasets for community use. His lab emphasizes practical, real-world applications of wireless systems in robotics and autonomous systems.

• Wireless Systems
• Cyber-Physical Systems
• Machine Learning for RF
• +۶ مورد دیگر

Sven Apel is Professor of Computer Science at Saarland University, where he holds the Chair of Software Engineering and directs the Saarbrücken Graduate School of Computer Science within the Saarland Informatics Campus. His research aims to advance software engineering into an era of intensive automation by developing methods, tools, and theories for building efficient, reliable, and maintainable software systems, with a strong emphasis on the human factor and interdisciplinary inquiry. His primary research interests include software variability and configuration, AI-based program generation and optimization, socio-technical software analysis, and the application of empirical and neurophysiological methods to study program comprehension. He actively collaborates with industry partners such as Siemens AG, Bosch Engineering, and Airbus Helicopters to apply his research in real-world contexts. His recent publications demonstrate a strong trend towards integrating artificial intelligence and neurocognitive methods into software engineering, focusing on configurable systems, performance modeling, debugging processes, and the scientific validity of empirical studies. His work spans top venues like ICSE, FSE, ASE, and IEEE TSE. ERC Advanced Grant “Brains On Code” ASE Fellow ACM Distinguished Member Hugo Junkers Award for Research and Innovation Heisenberg Professorship (DFG) Emmy-Noether Fellowship (DFG) Best Doctoral Dissertation Awards (University of Magdeburg, Ernst-Denert Foundation, 2007) Most Influential Paper Awards (SPLC'19, ICPC'22, GPCE'23) ACM SIGSOFT Distinguished Paper Awards (ICSE'15, ICSE'21) Best Paper Awards (SPLC'11, Modularity'15, Academy of Management'18) Distinguished Reviewer Awards (ASE'18, ICSE'24, FSE'24) Sven Apel has secured significant research funding, including an ERC Advanced Grant (€2.5M) and multiple DFG grants as Principal Investigator and Project Leader. He has advised numerous PhD and Master’s students and is actively involved in the academic community through program committees for major conferences like ICSE, FSE, and ASE. His work is conducted within a collaborative environment that includes close partnerships with researchers at the Max Planck Institute for Informatics and other institutions within the Saarland Informatics Campus.

• Software Engineering
• Software Variability and Configuration
• AI-based Program Generation and Optimization
• +۷ مورد دیگر

Wendy Stubbs is an Associate Professor in the School of Social Sciences at Monash University, specializing in corporate sustainability and purpose-driven business models. Her research explores how businesses can holistically address environmental, social, and economic responsibilities, with a focus on B Corps, purpose ecosystems, and the Sustainable Development Goals (SDGs). She leads major ARC-funded projects like 'Sustainability Transformation Pathways for SMEs' and co-investigates the global TRANSFORM initiative. Her PhD (2006) pioneered the 'sustainability business model' concept, recognized as foundational in the field. She has taught corporate sustainability for over 15 years in Monash’s graduate programs. Notable awards include top 0.05% global ranking in Sustainability by ScholarGPS (2024), Banksia Research Award (2019), and multiple teaching commendations. Research interests span sustainability reporting, integrated reporting effectiveness, and governance mechanisms for SDG alignment. Recent work examines SMEs’ experimentation with transformative business models and B Corps’ stakeholder engagement strategies. Her contributions bridge academia and industry via advisory roles with CPA Australia and global sustainability partnerships.

• Corporate Sustainability
• Sustainable Business Models
• Sustainability Reporting
• +۳ مورد دیگر

Neve Abgeller is a Lecturer in Organisation, Work and Employment with a focus on trust dynamics in organizational contexts. Her research explores trust mechanisms in management consulting, remote work environments during the pandemic, sharing economy platforms, and human resource management. She has produced influential work on trust theory applications across sectors including customer services and knowledge-based professions. Key research interests include trust exchanges in professional services, autonomy-control dynamics in remote work, platform trust in sharing economies, and sociological perspectives on organizational trust. Her work integrates interdisciplinary approaches to understand trust-building processes in diverse workplace and service contexts. Abgeller's publications demonstrate a trend toward analyzing contemporary workplace challenges like digital collaboration trust during crises, platform economy trust architectures, and theoretical advancements in trust frameworks. Her research contributes to both academic discourse and practical organizational strategies for enhancing trust-based relationships.

• Trust Theory
• Sociological Perspective
• UK Social Sciences
• +۳ مورد دیگر

Dr. Xinshan Li is a Senior Lecturer in the Department of Mechanical Engineering at the University of Sheffield , affiliated with the School of Mechanical, Aerospace and Civil Engineering . Her work bridges computational modeling and biomedical applications, focusing on musculoskeletal mechanics across pediatric and adult populations. PhD in Bioengineering (2011), Auckland Bioengineering Institute Research interests: continuum modeling of musculoskeletal systems, pediatric bone mechanics, fracture risk prediction using finite element analysis, pelvic floor biomechanics in childbirth, and medical image-based computational models. Key collaborations: University of Sheffield’s Digital Patient initiatives, Procter & Gamble, Hospital for Special Surgery, and international biomedical research teams. Her recent publications highlight applications of finite element analysis and musculoskeletal modeling in osteoporosis screening , childbirth mechanics , and infant bone development , with methodological innovations in deep learning-based image segmentation . Dr. Li’s work has no listed awards but emphasizes translational research, including pFIRE (parallel image registration framework) and agent-based modeling of skin stem cells. She collaborates extensively on CT/MRI data integration for clinical applications. Contact: Room 1312, Sir Frederick Mappin Building , Mappin Street, Sheffield S1 3JD, UK. Email: xinshan.li@sheffield.ac.uk .

• Biomechanics
• Finite Element Analysis
• Computational Modeling
• +۵ مورد دیگر

Ruth C. Newberry is a Professor of Ethology in the Department of Animal and Aquacultural Sciences at the Norwegian University of Life Sciences (NMBU). She holds a PhD from the University of Edinburgh and has held research positions at Agriculture and Agri-Food Canada and Washington State University before joining NMBU in 2013. She is a leading scholar in applied ethology and animal welfare science. Her research focuses on behavioral development, environmental enrichment, play behavior, and the assessment of positive affective states in animals. She has conducted extensive studies on diverse species including pigs, poultry, dogs, cats, goats, grizzly bears, and laboratory rodents. Her work integrates developmental plasticity, behavioral ecology, and welfare science to improve animal well-being in agricultural and captive settings. The trends in her recent publications show a strong emphasis on positive animal welfare, behavioral adaptability, and the long-term impacts of early life experiences. Her research spans from fundamental behavioral mechanisms to applied solutions in commercial farming systems, with a growing focus on human-animal interactions and their mutual benefits. Poultry Science Association's Poultry Welfare Research Award ISAE's Creativity Award Ruth Newberry has supervised numerous graduate students and collaborated widely across institutions. Her research has been supported by grants related to animal welfare assessment, environmental enrichment, and behavioral development. She has contributed to national and international guidelines, including the Canadian Code of Practice for Poultry. She leads current projects on environmental enrichment for broiler chickens, positive emotions in pigs, and behavioral plasticity in dogs. She is actively involved in scientific communities, having served as President of the International Society for Applied Ethology (ISAE) and as an Associate Editor for Frontiers in Animal Science. Her work bridges academic research with practical applications in animal husbandry and welfare policy.

• Ethology
• Animal Welfare
• Behavioral Development
• +۱۲ مورد دیگر

Dr. Narcisa Pricope is Professor of Geography and Geospatial Science in the Department of Geosciences at Mississippi State University (MSU) and concurrently serves as Associate Vice President for Research in MSU’s Office of Research and Economic Development. Previously, she spent a decade at the University of North Carolina Wilmington (UNCW) where she founded and directed multiple high-profile programs, including the NSF-funded Coastal UAS Observatory and the USGIF-accredited Geospatial Intelligence certificate. Education PhD in Geography (minor Environmental Engineering), University of Florida, 2011 MSc in Geosciences, Western Kentucky University, 2006 BA in Geography and English, Babeș-Bolyai University, Cluj-Napoca, Romania, 2004 Research Interests Dr. Pricope is a land-systems scientist who integrates geospatial modelling, remote sensing, and unoccupied aerial systems (UAS) to investigate complex socio-ecological interactions at the food-water-energy nexus. Her work emphasizes understanding environmental variability and human vulnerability to land degradation, drought, and climate change, with a strong commitment to community-engaged research across dryland regions in eastern and southern Africa, Peru, Nepal, and coastal/inland North America. Key methodological thrusts include: Advanced machine-learning and geostatistical analytics Multi-scale remote sensing (satellite, airborne, UAS) Topobathymetric LiDAR for coastal and inland water management GeoAI and geospatial intelligence capacity building Research Trends from Recent Publications Across more than 50 peer-reviewed articles, Dr. Pricope’s recent work demonstrates a pronounced focus on global drying trends, precision mapping of coastal and inland ecosystems, and the deployment of machine-learning techniques to tackle environmental challenges such as salinity intrusion, vegetation classification, and heavy-metal contamination. A strong policy-oriented thread is evident, with several 2024–2025 publications calling for urgent adaptive solutions to aridification and integrating climate policy with disaster planning. Scientific Awards 2022 UNCW Graduate Faculty Mentor Award 2022 Discere Aude Mentorship Award 2021 UNCW College of Arts and Sciences Research Award Grants & Strategic Initiatives Dr. Pricope has secured funding from NSF, NASA, NOAA Sea Grant, USAID, World Bank, Global Environment Facility, NCDOT and NGA, among others. At MSU she leads strategic initiatives in climate resilience, GeoAI programming, and university-wide research support. Laboratories & Teams She previously directed the NSF-funded UNCW Coastal UAS Observatory and oversaw the FAA Collegiate Training Initiative in UAS, positioning UNCW as a national hub for geospatial intelligence education and research. At MSU, she continues to foster interdisciplinary collaboration across geosciences, engineering, and social sciences.

• Land-system science
• Geospatial intelligence
• Remote sensing
• +۷ مورد دیگر

Dr Judith Aston is an Associate Professor and Wallscourt Fellow in Film & Digital Arts at the University of the West of England (UWE), affiliated with the ACE - Film and Journalism department. She specializes in interactive documentary, live cinema, and immersive/experimental filmmaking. Her research focuses on narrative approaches in filmmaking, ethnographic practices, and multi-perspectival thinking to address global challenges like climate emergency and social justice. She leads interdisciplinary projects, such as the AHRC Impact project 'Building Healthy Communities' and co-curates i-Docs symposia. Qualifications include a PhD in Anthropology, Film, and Interaction Design from the Royal College of Art, alongside MA Cantab and professional certifications (FRSA, FRAI, SFHEA). She holds editorial roles in journals like the Journal of Visual Anthropology and advises organizations like the BBC and Open Society Foundation. Her research explores polyphonic documentary practices, applying Bakhtin’s theories to collaborative storytelling. Notable projects include 'The Russian Winter' (immersive performance) and 'Voices from the Blue Nile' (interactive documentary). She actively seeks PhD students to advance multi-perspectival narratives.

• Interactive Documentary
• Experimental/Immersive Filmmaking
• Ethnographic Film/Visual Anthropology
• +۴ مورد دیگر