جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Materials Science
• Sensors Technology
• +۷ مورد دیگر

Rahim Rahimi is an Assistant Professor of Materials Engineering at Purdue University, associated with the College of Engineering. His research focuses on advanced materials for biomedical applications, environmental sensing, and flexible electronics. Key interests include developing smart sensors for healthcare, antibacterial coatings for medical implants, and sustainable agricultural monitoring systems. Research emphasizes targeted drug delivery systems via smart capsules, environmental sensor networks for water quality and soil health, and nanotechnology applications in wearable devices. Notable projects include oxygen-generating surgical meshes for wound healing and low-cost wireless sensors for precision agriculture. His work bridges materials science with clinical and environmental challenges, leveraging plasma deposition techniques and nanomaterial functionalization. Recent efforts focus on self-calibrating sensors and integrating machine learning for manufacturing optimization. No scientific awards are explicitly listed in the provided information. His advisory role and grant activities are inferred through his research outputs in materials engineering and biomedical innovation. Rahimi collaborates across disciplines within Purdue's engineering ecosystem, contributing to labs focused on bio-inspired materials and flexible electronics. Future work aims to advance implantable medical devices and scalable sensor technologies for global health applications.

• Human-Computer Interaction
• Digital Humanities
• Art and Technology
• +۵ مورد دیگر

Steven Devleminck is an Associate Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Technology, concurrently serving as coordinator of the School of Arts (Associated Faculty) in Brussels. His dual appointment bridges engineering and arts through the Human-Computer Interaction (HCI) group at Group T Leuven Campus and Unit Art & Technology in Brussels, with active membership in DigiSoc – KU Leuven Digital Society Institute. His research centers on human-centered computing and speculative design methodologies , with core expertise in tangible interaction for emotion regulation and multispecies futures. Key themes include biofuturing as co-creative response to climate crises, squeeze-based interfaces for workplace stress, and artistic AI collaborations. His work uniquely integrates computer science with choreography, film studies, and anthropology through projects like “Youth TikTok production as public pedagogy” and “Imagining the Post-Anthropocene in BioFutures Living Lab”. Analysis of recent publications reveals three dominant trajectories: (1) Advancement of squeeze interaction techniques for affective computing, (2) Development of biofuturing frameworks for multispecies speculation, and (3) Critical examinations of AI's role in artistic mediumship. Cross-cutting themes include post-anthropocentric design, climate-responsive technologies, and decolonial approaches to digital pedagogy. Devleminck actively mentors doctoral candidates including Ula Sickle (choreographic exhibitions) and J. Verbesselt (cinema studies), while leading major funded projects such as: Living Corpora (2025-2029): Pioneering human-AI collaboration in digital humanities as Co-promotor Experiential Futuring (2022-2026): Co-creative methodology for social media outage response as Co-promotor Deradicalizing the City (2021-2025): Urban intervention research as Promotor He serves on the Computer Science Department Council and Doctoral Committee for the Associated Faculty of Arts. His laboratory ecosystem spans the HCI Group T Leuven Campus for technical development, Brussels-based Unit Art & Technology for artistic integration, and BioFutures Living Lab for participatory multispecies experimentation. This tripartite structure enables transdisciplinary work connecting squeeze sensor engineering with climate futures speculation and museum interface design.

• Hydrology
• Climate Change Impacts
• Soil Science
• +۷ مورد دیگر

Professor Anne Verhoef is a leading academic at the University of Reading, specializing in environmental and hydrological sciences. Her research focuses on soil-plant systems, climate change impacts, groundwater dynamics, and remote sensing applications in ecological modeling. She collaborates internationally on projects like GEWEX and AMMA, advancing understanding of global hydrological cycles and land-atmosphere interactions. Key Research Areas: Hydrological modeling and prediction Climate change adaptation in semi-arid regions Soil health and pedotransfer functions Evapotranspiration dynamics in tropical ecosystems Remote sensing for biodiversity and water resource assessments Her work integrates field observations, satellite data, and numerical models to address challenges in water resource management, flood mitigation, and sustainable agriculture. She has published widely in top journals such as Reviews of Geophysics , Water Resources Research , and Nature Reviews Earth & Environment . Professor Verhoef contributes to interdisciplinary initiatives, including climate adaptation strategies in transboundary regions and improving land surface models for global Earth system simulations. Her research emphasizes bridging gaps between observational data and predictive frameworks to inform policy and environmental decision-making.

• Water quality monitoring and modeling
• Data-driven prediction modeling
• Bayesian Network modeling
• +۵ مورد دیگر

Dr. Edoardo Bertone is a Senior Lecturer at Griffith University's School of Engineering and Built Environment - Architecture and Design. He holds a PhD in Water Resources Engineering from Griffith University and Bachelor/Master degrees in Civil Engineering from the Polytechnic University of Turin. His research focuses on data-driven modeling, Bayesian Networks, and System Dynamics applied to water resources management, climate change adaptation, and the water-energy nexus. He is affiliated with Griffith's Cities Research Institute and Australian Rivers Institute, collaborating on projects with water utilities, governments, and private entities. Dr. Bertone has received awards such as the 2024 PVC Science Excellence in Teaching and the JSPS Fellowship (2022). He supervises doctoral and master's students in areas like water quality management and climate change impacts. Education: PhD in Engineering (Griffith University, 2015); MEng and BEng in Civil Engineering (Polytechnic University of Turin, 2009-2011). Research Interests: Water quality modeling, drinking water optimization, data-driven prediction, climate change adaptation, and sustainable development goals. He leads over 25 funded research projects, including initiatives on reservoir water quality management in Thailand, real-time nutrient monitoring, and cyanobacteria bloom modeling. Dr. Bertone’s work integrates advanced sensors, machine learning, and Bayesian networks to address environmental challenges. Awards: Listing includes PVC Excellence Awards (2024, 2017), JSPS Fellowship, and recognition as a Rising Star in Queensland Science (2015). Grants & Supervision: Principal supervisor for 10+ doctoral candidates and collaborator on projects funded by Seqwater, CSIRO, and the Ian Potter Foundation. Key grants include $745k for biofertilizer combatting eutrophication and $269k for coagulation optimization models. Dr. Bertone’s contributions extend to urban sustainability, co-editing the book *SeaCities: Urban Tactics for Sea-Level Rise* and developing frameworks for integrating SDGs into architectural education.

• Computational Sociology
• Gender Studies
• Social Movements
• +۴ مورد دیگر

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia , where she also directs the Centre for Computational Social Science . Her work bridges computational methods with sociological inquiry, focusing on gender inequality, social movements, and organizational dynamics. She previously held faculty roles at Northeastern University and affiliated with institutions like the NULab for Texts, Maps, and Networks and the Network Science Institute . Education: PhD in Sociology (2014), University of California, Berkeley MA in Sociology (2009), University of California, Berkeley BA in Sociology (2006), University of Wisconsin-Madison (Phi Beta Kappa) Research Interests span computational sociology, social movement strategy, intersectionality, and STEM equity. She pioneered frameworks like computational grounded theory and radical objectivity , integrating machine learning with qualitative paradigms. Recent publications analyze gender dynamics in emergency medicine, feminist movement histories, and the NSF ADVANCE program’s impact on equity. Her 2024 Social Science Quarterly paper quantifies ADVANCE’s interdisciplinary reach. Awards include the 2020 Best Meta-Reviewer at SocInfo20 and Outstanding Faculty of the Year at Northeastern University. She serves on editorial boards for American Journal of Sociology , Poetics , and Acta Sociologica . She co-PIs a National Science Foundation grant studying gender-equity dissemination in higher education networks and supervises graduate student Jinyang Yu . Her lab, Centre for Computational Social Science , drives open-source methodological innovation.

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +۳ مورد دیگر

Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

Volker J Schmidمشاهده پروفایل

استاد

• Bayesian Statistics
• Spatial Statistics
• Medical Imaging
• +۷ مورد دیگر

Volker J Schmid is a Professor of Bayesian Imaging and Spatial Statistics at the Department of Statistics, Ludwig Maximilian University of Munich. He leads the Bayesian Imaging and Spatial Statistics group and contributes to interdisciplinary initiatives like the Munich Center of Machine Learning. His work bridges statistical theory with applications in medical imaging and biology. PhD in Statistics (2004), LMU Munich Diploma in Statistics (2000), LMU Munich Abitur, Joseph-von-Fraunhofer-Gymnasium Cham (1993) His research focuses on Bayesian computational methods for high-dimensional data, particularly in medical imaging (MRI, DCE-MRI) and biological microscopy (e.g., 3D nuclear architecture analysis via super-resolution microscopy). Key applications include disease mapping , image segmentation , and spatio-temporal modeling . His software tools (e.g., nucim , bioimagetools , BAMP ) enable quantitative analysis in nuclear imaging and age-period-cohort modeling. His 15 most recent publications span Bayesian modeling for medical imaging , spatio-temporal epidemiology , and computational biology . Topics include co-localization metrics in fluorescence microscopy, nuclear architecture analysis, and dynamic Bayesian frameworks for MRI data. Collaborations extend to neuroimaging, oncology, and nuclear biology.

Pengfei Wangمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Engineering Seismology
• Applied Statistics
• +۴ مورد دیگر

Pengfei Wang is an Assistant Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU). He holds a Ph.D. in Geotechnical Engineering and an M.S. in Statistics from UCLA, alongside a B.S. in Transportation Engineering from Tongji University. Prior to ODU, he conducted postdoctoral research at UCLA. His expertise focuses on Geotechnical Engineering , Engineering Seismology , and Applied Statistics , with emphasis on regional geo-hazard modeling, multi-hazards risk assessment, and statistical learning applications. Key research interests include seismic site response analysis, liquefaction susceptibility, and probabilistic risk frameworks for infrastructure resilience. Dr. Wang’s work integrates geospatial analysis and statistical methodologies to address challenges in earthquake engineering. He has developed frameworks for regional landslide and liquefaction risk assessments, particularly in vulnerable regions like California’s Sacramento-San Joaquin Delta. His contributions include advancing HVSR (Horizontal-to-Vertical Spectral Ratio) methodologies and ergodic site response modeling. He maintains active collaborations with institutions globally and contributes to open-source databases for seismic data, promoting transparency and reproducibility in geotechnical research. His educational background in transportation engineering enriches interdisciplinary approaches to civil infrastructure resilience.

• Data Science
• Computational Social Science
• Misinformation
• +۳ مورد دیگر

Meeyoung Cha is a Professor at KAIST and Scientific Director of the Max Planck Institute for Security and Privacy (MPI-SP) in Bochum, Germany. Her research focuses on Data Science for Humanity, encompassing computational social science, misinformation dynamics, and human-machine interaction. She holds a PhD in Computer Science from KAIST (2008) and previously served as Chief Investigator at the Institute for Basic Science and Visiting Professor at Facebook. Her work addresses societal challenges such as poverty mapping, fraud detection, and AI ethics. Key achievements include best paper awards and recognition like the Hong Jin-Ki Creator Award (2024) and Test-of-Time Awards (ACM IMC 2022, AAAI ICWSM 2020). Research interests span AI ethics, social media analysis, and interdisciplinary applications of machine learning. Notable projects include modeling climate risks via satellite imagery and analyzing chatbot interactions' societal impacts. She leads the MPI-SP's Data Science for Humanity Group, mentoring over 20 students across PhD and postdoc programs. Education: PhD in Computer Science (KAIST, 2008) Affiliations: MPI-SP (Germany), KAIST Key Awards: Hong Jin-Ki Creator Award, Korean Young Information Scientist Award, Test-of-Time Awards Her publications bridge computational methods with societal issues, including climate modeling, protein engineering, and algorithmic fairness. Current projects explore geospatial AI for economic development and ethical AI design frameworks.

Martin C. Chapmanمشاهده پروفایل

استاد پژوهشی

• Seismology
• Tectonics of Plate Interiors
• Strong-Motion Seismology
• +۳ مورد دیگر

Martin C. Chapman serves as Research Professor of Geophysics in Virginia Tech's College of Science, Department of Geosciences. He directs the Virginia Tech Seismological Observatory (VTSO), operating from a Cold War-era fallout shelter near the Virginia Tech Executive Airport. His research integrates observational seismology with earthquake hazard mitigation in plate-interior regions, particularly eastern North America. His educational background includes: Ph.D. in Geophysics, Virginia Tech (1998) M.S. in Geophysics, Virginia Tech (1979) B.S. in Geophysics, Virginia Tech (1977) Chapman's primary research focuses on plate-interior seismicity/tectonics and strong-motion seismology. He combines field observations from the VTSO network with global strong-motion data to investigate earthquake causes and wave propagation characteristics. Recent work emphasizes induced seismicity from aquifer recharge and wastewater injection, site amplification effects in sedimentary basins, and development of seismic monitoring networks for risk reduction in eastern North America. Analysis of his 2022-2025 publications reveals concentrated research on injection-induced seismicity in Virginia's Hampton Roads region, sediment thickness mapping of Atlantic/Gulf Coastal Plains for ground motion prediction, and advanced characterization of historical earthquakes (1886 Charleston) and recent sequences (2024 New Jersey, 2020 Sparta). His methodology integrates dense seismic arrays, machine learning detection algorithms, and geospatial analysis to refine hazard models. His scientific recognition includes: Jesuit Seismological Association Award for Contributions to Observational Seismology (2016) As VTSO director, Chapman oversees seismic monitoring across Virginia and leads the Hampton Roads Seismic Network initiative. His work involves significant collaboration with the US Geological Survey on coastal plain amplification studies and regional seismic hazard workshops. Current projects focus on optimizing earthquake detection during aquifer recharge operations and developing site-specific amplification models for eastern US infrastructure. Chapman's laboratory operations center on the VTSO's network of seismic stations, utilizing advanced techniques including reverse vertical seismic profiling and dense array backprojection imaging. His team's recent field deployments target induced seismicity monitoring in Southeast Virginia and detailed characterization of the Central Virginia Seismic Zone.

• Computer Science
• Social Sciences
• Geography and Planning
• +۳ مورد دیگر

Dr. Jeffrey Morgan is a Researcher at Cardiff University's School of Social Sciences, specializing in multidisciplinary research at the intersection of computer science, social science, and geography. His work emphasizes human-computer interaction, visualization, and big data analytics. He holds a Research Software Engineer role, combining technical expertise with academic inquiry. Key research interests include AI-driven patent analysis, IoT applications in rural citizen science, and geospatial Twitter demographics. He has contributed to studies on Hadoop infrastructure optimization and social media conflict detection, often collaborating with institutions like Xiamen University and the University of Bremen. His publications span topics like energy-efficient big data processing, digital geography of Welsh identity, and scalable social media analysis frameworks. Notable projects include COSMOS (a cloud-based social media analysis platform) and studies on post-devolution cultural narratives in Wales. Award-winning work includes computational Twitter analysis for detecting online community tensions and geotagging behavior patterns. His research often bridges technical innovation with societal impact, addressing challenges in rural technology deployment and digital sociology.

Theodora Varvarigouمشاهده پروفایل

استاد

• Cloud Computing
• Multimedia Content Processing
• Social Networking Technologies
• +۳ مورد دیگر

Theodora Varvarigou is a Professor in the Department of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). She holds a B.Eng. from NTUA and M.Eng. and Ph.D. degrees from Stanford University. Her career includes research at AT&T Bell Labs and roles at the Technical University of Crete. From 2008-2012, she served as director of NTUA's 'Technoeconomic Systems' postgraduate program. Her research focuses on Cloud Computing, Multimedia Content Processing, Social Networking Technologies, and emerging areas like blockchain, edge computing, and cybersecurity. She has published over 200 papers and led numerous European research projects, emphasizing scalable systems, data management, and smart infrastructure applications. Her work spans technical innovations such as intrusion detection systems, edge resource optimization, and blockchain-based solutions for IoT, healthcare, and smart cities. Recent publications highlight advancements in AI-driven resource allocation, privacy-preserving blockchain designs, and predictive analytics for edge computing environments. Professor Varvarigou has contributed to interdisciplinary initiatives, including cohort data harmonization in biomedical research and social media analytics for urban planning. Her teaching includes courses on digital systems, network programming, and fault-tolerant systems.

Christopher Mortonمشاهده پروفایل

دانشیار

• Fluid-Structure Interaction
• UAV Technology Development
• Energy Engineering
• +۷ مورد دیگر

Dr. Christopher Morton is an Associate Professor in the Department of Mechanical Engineering at McMaster University, specializing in fluid-structure interaction, UAV technology, and energy systems. His research focuses on aerodynamics, flow control, and sustainable energy solutions, with applications in aerospace and environmental engineering. Education background includes a BASc in Mechatronics Engineering (University of Waterloo, 2008), MASc (2010), and Ph.D. (2014) in Mechanical Engineering from the same institution. His work bridges experimental and computational methods, particularly in flow estimation and control using advanced diagnostics like PIV and spectral analysis. His research interests span vortex-induced vibrations (VIV), unsteady aerodynamics, and energy harvesting through fluid-structure interactions. Recent publications highlight innovations in flow field reconstruction, sensor-based monitoring, and turbulence control. His work has been recognized through awards such as the Departmental Research Excellence Award (2021-2022) and multiple teaching accolades, reflecting his dedication to both research and education. Dr. Morton currently teaches MECH ENG 4FM3 (Advanced Instrumentation for Thermo-Fluids) and MECH ENG 723 (Flow Induced Vibrations), emphasizing hands-on experimental techniques and theoretical analysis. He actively supervises graduate students and collaborates with industry partners like Atlantis Research Labs and Plains Midstream Canada. Key Research Clusters: Advanced Materials & Manufacturing, Digital & Smart Systems, Energy, and Environment. Teaching Excellence: Awarded “Professor of the Year” multiple times and recognized for outstanding teaching performance.

Michael Wilbyمشاهده پروفایل

دانشیار

• Philosophy of Mind
• Collective Intentionality
• Joint Attention
• +۵ مورد دیگر

Michael Wilby is an Associate Professor of Philosophy at Anglia Ruskin University (ARU), based in Cambridge. He serves as Course Director for ARU's BA (Hons) Philosophy and Philosophy and English Literature programs. His academic affiliations include membership in the International Society of Social Ontology, ARU’s Advanced Computing Research Centre, and the AI in Learning, Teaching and Assessment Group. Wilby holds a PhD in Philosophy from the University of York (2008), an MA from the University of Bristol, a BA (Hons) from the University of Sheffield, and a PGCert in Higher Education from ARU. His research focuses on philosophy of mind, collective intentionality, joint attention, and the philosophy of artificial intelligence, with recent work exploring ethical dimensions of AI and the concept of evil. He has supervised multiple PhD students and teaches interdisciplinary modules on AI ethics, consciousness, and epistemology. His research interests span social ontology, hinge epistemology, and the intersection of philosophy with developmental psychology and technology. Recent presentations include talks on AI ethics at conferences in Helsinki, Lisbon, and Cambridge. He has engaged with media platforms such as ABC Radio National and The Conversation, discussing topics like common knowledge and philosophical approaches to climate change. Wilby’s publications include articles in journals like Topoi , International Journal of Philosophical Studies , and Philosophical Psychology , as well as contributions to edited volumes on AI, social robotics, and philosophical methodology. His work bridges traditional philosophical inquiry with contemporary issues in technology and ethics.

Jack Puleoمشاهده پروفایل

استاد

• Coastal Engineering
• Sediment Transport
• Hydrodynamics
• +۵ مورد دیگر

Jack Puleo is a Professor and Chair in the Department of Civil and Environmental Engineering at the University of Delaware (UD), and a core faculty member of the Center for Applied Coastal Research (CACR). He holds a Ph.D. from the University of Florida, a Master’s from Oregon State University, and a Bachelor’s from Humboldt State University. His research focuses on coastal hydrodynamics, sediment transport, and nature-based solutions for coastal resilience. He has served as Associate Chair and Director of CACR, and was a Fulbright Scholar and Visiting Professor at Plymouth University (2011-2012). Research Interests: Small-scale hydrodynamic processes and sediment transport in coastal zones Remote sensing and sensor networks for coastal monitoring Nature-based solutions for coastal protection Munitions mobility in nearshore environments Climate change impacts on coastal flooding Awards and Honors: NSF CAREER Award (2007) ASCE Teaching Awards University of Delaware Teaching Awards (twice) Chi Epsilon Advising Award ASBPA Robert G. Dean Award German DAAD Scholarship Labs and Collaborations: Core member of the Center for Applied Coastal Research (CACR), collaborating on projects such as UXO mobility studies, coastal flooding modeling, and military infrastructure resilience. Active in interdisciplinary work with the Naval Research Laboratory and joint bases like Langley-Eustis.