جستجوی استاد راهنمای دانشگاهی

Kristian Kloeckl serves as Associate Professor in the Department of Art + Design within Northeastern University's College of Arts, Media and Design. His academic appointment bridges the School of Architecture and design disciplines, focusing on the intersection of urban systems and digital technologies. His research centers on urban data visualization and real-time city systems , with expertise in creating frameworks for hybrid urban environments where physical and digital layers interact. Kloeckl's work explores improvisation-based design methodologies for developing meaningful technological interventions in cities, emphasizing human-centered interactions with urban data streams. Key themes include digital public space design , technology mediation , and data-driven urban planning approaches that transform how citizens engage with city infrastructure. His publication portfolio demonstrates consistent focus on urban data platforms, with recent works analyzing dockless bike-sharing systems and improvisational frameworks for hybrid cities. Earlier research established foundational work in real-time urban data integration through projects like Live Singapore! which synthesized transportation, energy, and environmental data streams. Kloeckl maintains active professional engagement through exhibitions at major institutions including MoMA New York, Venice Architecture Biennale, and Singapore Art Museum. His speaking engagements span global forums from World Bank events to MIT Media Lab symposia. Academic leadership includes directing research units at IUAV Venice and establishing MIT Senseable City Lab's Singapore research unit. His educational background combines architecture (Technische Universität Graz), industrial design (Politecnico di Milano), and doctoral studies in Product and Communication Design at Università Iuav di Venezia.

• Urban Data Visualization
• Smart Cities
• Real-Time City Systems
• +۵ مورد دیگر

Rui Zhang is an Assistant Professor in the Department of Electrical Engineering at the School of Engineering and Applied Sciences , State University of New York at Buffalo. Her research focuses on next-generation communication systems , including fiber-wireless integration , statistical signal processing , integrated communication and sensing , and optical wireless networking . PhD, School of Electrical and Computer Engineering, Georgia Institute of Technology, 2022 BS in Electrical Engineering and BA in Economics, Peking University, 2017 She has made significant contributions to 6G wireless research and hybrid optical-wireless networks . Her recent publications explore integrated communication-sensing systems , high-capacity data center links , and nonlinear signal equalization . Notably, her work on OFDM reference signal design and self-homodyne coherent systems has received recognition at top conferences. Rui Zhang has been honored with the prestigious 2022 Marconi Young Scholar Award and received the Top-scored Paper Award at OFC 2022. She actively mentors students, currently advising Zijun Wang , a PhD candidate. Her industry experience includes a Staff Engineer role at MediaTek USA (2022–2023), where she worked on 6G wireless systems.

• Statistical Signal Processing
• Optical and Wireless Communications
• Integrated Communication and Sensing
• +۵ مورد دیگر

Ricardo Huisman is an Amsterdam-based sound image artist, soundscape composer, and artistic researcher. Known by the alias Dj Sensescape, he creates inclusive interactive tactile sonic sculptures that produce 'sensescapes'—tangible/audible compositions designed to deepen multi-sensory hearing experiences. His work explores associative dimensions, bodily sensations, and aural diversity, advocating for an inclusive sound habitat that embraces diverse sensory abilities. He invites participants to become 'conductors' of their sensory perspectives, fostering responsibility toward sound ecologies. His practice includes installations such as woolen sound sculptures that blend touch and sound, documented in works like Uncommon Senses IV, Ricardo Huisman, woollen sound dog.pdf . Huisman has participated in events like the ARTIST'S TALK: MultiSensory Art Gallery at the John Molson School of Business, though this appears to be an event attendance rather than an institutional affiliation. No formal academic grants, lab affiliations, or educational background are explicitly detailed in the provided texts. His professional focus remains centered on artistic research and public engagement with sensory experiences.

• Sound Art
• Multisensory Experience Design
• Inclusive Art Practices
• +۳ مورد دیگر

Professor Paul Russell is a coastal dynamics expert at the University of Plymouth's School of Biological and Marine Sciences (Faculty of Science and Engineering). He has held academic roles since 1992, including Professor of Coastal Dynamics since 2009 (0.4 FTE). His research focuses on coastal processes, sediment transport, extreme storm impacts, and climate change adaptation. He has supervised over 20 PhD students and led major projects like the NERC BLUE-coast grant and EPSRC NUPSIG grant. Teaching includes modules on coastal geomorphology, management, and erosion protection. Notable contributions include field experiments on swash dynamics, rip currents, and gravel beach morphodynamics. His work spans global collaborations (e.g., CONACYT-funded projects in Mexico) and integrates remote sensing techniques for coastal monitoring. Key research topics include shoreline modeling, infragravity wave impacts, and the role of climate variability in coastal evolution. He has advised on marine renewable energy impacts and public safety through beach hazard assessments. Over 200+ peer-reviewed articles highlight his expertise in both theoretical and applied coastal science.

• Coastal Dynamics
• Physical Oceanography
• Sediment Transport
• +۷ مورد دیگر

Joanna Harris is a Research Fellow at the University of Plymouth's School of Biological and Marine Sciences, specializing in marine megafauna conservation. Her research examines reef manta ray ecology, illegal wildlife exploitation, and microplastic contamination in protected archipelagos like the Chagos Islands. Harris employs spatial planning and movement analysis to study foraging behaviors and residency patterns in vulnerable ray populations. Her work informs MPA management and climate adaptation strategies across the Indian Ocean. Publications demonstrate interdisciplinary approaches combining oceanography, conservation policy, and investor environmental preferences in ESG frameworks.

• Marine Ecology
• Conservation Biology
• Manta Ray Behavior
• +۳ مورد دیگر

Pedro Delicado is a Full Professor at the Department of Statistics and Operations Research, Universitat Politècnica de Catalunya (UPC), based in Barcelona. He holds a degree in Mathematics and a doctorate in Economics. His research focuses on advanced statistical methods, data science, functional data analysis, and machine learning applications. He leads the ADBD research group (Analysis of Complex Data for Business Decisions) and collaborates with the Institut de Matemàtiques de la UPC. His current project 'Advanced Statistics and Data Science 2: New data, new models, new challenges' (PID2023-148158OB-I00) addresses modern data challenges, including Big Data, wearable devices, EEG analysis, graph data, and nonlinear dimensionality reduction. He supervises PhD students and has expertise in predictive modeling, explainable AI, and interdisciplinary applications in health, environmental science, and education. Delicado has published extensively in top journals like Machine Learning, Test, and Environmental and Ecological Statistics. He teaches advanced statistics and data science courses, leveraging virtual platforms. His work bridges statistical theory with practical applications, emphasizing interpretability and real-world impact.

• Statistics
• Data Science
• Big Data
• +۷ مورد دیگر

Edwin Nissen is a Professor and Canada Research Chair (Tier 2) in the School of Earth and Ocean Sciences at the University of Victoria. His research specializes in earthquakes and active tectonics using geodetic remote sensing, seismology, and field geomorphology to understand fault mechanics and seismic hazards. Research Focus: Mechanics of large earthquake ruptures, uncharacteristic seismic events, differential lidar techniques, drone-based fault mapping, and active tectonics of Cascadia and the Canadian Cordillera. Current projects include SchoolShake outreach program deploying seismometers in schools across British Columbia. Education: DPhil in Earth Sciences, University of Oxford MSc in Natural Sciences (Geology), University of Cambridge BA in Natural Sciences (Geology), University of Cambridge Research employs advanced techniques including InSAR, lidar differencing, and seismic analysis to investigate earthquake deformation patterns across diverse tectonic settings from Iran to New Zealand. The group maintains active field programs using drone lidar systems to map fault geomorphology in challenging terrains. Scientific Awards: Canada Research Chair (Tier 2) Award for Research Excellence Editors' Citation for Excellence in Refereeing The UVic Earthquakes Group collaborates with Geological Survey of Canada researchers and maintains instrumentation for high-resolution topographic mapping of active faults. Outreach initiatives include SchoolShake citizen seismology program engaging schools across Vancouver Island.

• Earthquakes
• Active tectonics
• Imaging geodesy
• +۴ مورد دیگر

Vito Andrea Racanelli is a Researcher at the Department of Electrical and Information Engineering, Politecnico di Bari, Italy. He holds a PhD in Control Engineering (2025) and a cum laude Master's degree in Control Engineering (2021). His research focuses on control strategies for autonomous systems, including industrial vehicles, UAV swarms, and adaptive video streaming. He is affiliated with the Control Engineering and Computer Science Laboratory (C3Lab), collaborating on robotics and control theory projects. Education: Bachelor/Master: Politecnico di Bari (2016–2021), Thesis: 'Autonomous Driving Systems: The AGV's Case' PhD: Politecnico di Bari (2021–2025), Focus: Model Predictive Control, Networked Systems, and Autonomous Mobile Robots Research interests span Model Predictive Control (MPC), decentralized coordination of UAV swarms, fault-tolerant industrial automation, and medical technology applications (e.g., insulin delivery systems). His work bridges control theory with real-time systems, emphasizing safety and adaptability in dynamic environments. His publications highlight advancements in MPC-based video streaming optimization, event-triggered consensus algorithms for live streaming, and GAN-based depth reconstruction for mmWave sensors. He has presented at top conferences like IEEE CCNC, IFAC SAFEPROCESS, and ICUAS. Advising/grants: No formal advisees listed. Collaborates on C3Lab projects funded by EU and national initiatives in robotics and control systems. Labs/Teams: Active member of C3Lab, contributing to interdisciplinary research in robotics, networked control, and AI-driven systems.

• Control Systems
• Autonomous Systems
• Robotics
• +۳ مورد دیگر

Dr. Guiling Wang is a Distinguished Professor of Computer Science and Associate Dean of Research and External Relations at New Jersey Institute of Technology (NJIT). She holds a Ph.D. in Computer Science and Engineering from The Pennsylvania State University (2006) and a B.S. in Software Engineering from Nankai University, China (2002). Her research focuses on machine learning, blockchain technology, deep learning, and intelligent transportation systems. Dr. Wang’s work spans interdisciplinary areas such as: Machine Learning and Reinforcement Learning Blockchain-based systems and decentralized applications Intelligent traffic signal control and autonomous systems Data privacy and cybersecurity Generative adversarial networks (GANs) and vision-language models Her recent research emphasizes practical solutions for: Optimizing traffic management through multi-agent reinforcement learning Developing robust watermarking techniques for digital security Applying LLMs for financial decision-making and portfolio management Designing blockchain frameworks for vehicular networks and edge computing Notable contributions include: Proposing novel architectures like MCFN for high-performance watermarking Advancing RAGIC for risk-aware stock interval construction Developing PairUpLight for multi-intersection traffic coordination Pioneering blockchain-based systems iBCTrans and VDKMS for vehicular networks Dr. Wang’s research is supported by grants from federal agencies and industry collaborators, with applications in smart cities, financial technology, and healthcare systems.

• Machine Learning
• Blockchain Technology
• Deep Learning
• +۹ مورد دیگر

Kasthuri Jayarajah is an Assistant Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). Her research focuses on mobile and ubiquitous sensing, deep learning for IoT/edge computing, mobility-driven urban analytics, and predictive cyber-physical systems. She holds a Ph.D. in Information Systems from Singapore Management University (2019), a Master of Computing from National University of Singapore (2013), and a B.S. in Electronic and Telecommunication Engineering from the University of Moratuwa (2010). Her work integrates wearable sensing technologies, machine learning, and collaborative systems to solve challenges in urban environments and human-technology interactions. Key research areas include cognitive load assessment via multimodal features, gaze-based AR systems, and lightweight collaborative intelligence frameworks for autonomous systems. She has developed frameworks like CALM for cognitive load measurement and GazeLight for AR-mediated human-robot systems. Dr. Jayarajah's research spans theoretical advancements (e.g., β-Decode for temporal artifact correction) and practical applications (e.g., AirDrop for air-ground teaming in navigation). Her contributions address edge computing constraints, adversarial IoT environments, and urban mobility analytics for smart cities. She teaches courses in mobile computing and sensor networks, bridging academic research with hands-on technical training. Leveraging interdisciplinary approaches, her work bridges computer science with urban planning, robotics, and human factors. Her lab explores innovations in wearable-assisted human-robot teams (TagTeam), lightweight vision models (ComAI), and mobility-driven predictive systems for urban operations.

• Mobile and Ubiquitous Sensing
• Deep Learning for IoT and Edge Computing
• Mobility-Driven Urban Analytics
• +۳ مورد دیگر

Dennis K. Peters is a Professor in Electrical and Computer Engineering at Memorial University, currently serving as Interim Associate Vice-president (Academic). His research spans software verification, high-performance computing, and marine simulation. With a PhD from McMaster University, he focuses on real-time systems and parallel processing applications in marine environments. Recent work includes unsupervised clustering for geological data and ship-iceberg discrimination using convolutional neural networks. His publications demonstrate consistent innovation in applying parallel computing to maritime challenges. Awards include the ECEDHA CHECE Leadership Award and IEEE J. J. Archambault Merit Award. As an active professional volunteer, he has chaired PEGNL and IEEE Newfoundland and Labrador Section. He teaches courses in software design and concurrent programming.

• Software Verification
• High-Performance Computing
• Parallel Processing
• +۲ مورد دیگر

Karen E. King is an Assistant Professor in the Department of Geography at the University of Tennessee, specializing in Physical Geography. Her research focuses on Quaternary landscape dynamics, paleoenvironmental reconstruction, and the application of dendrochronology to understand climate-vegetation interactions. She holds a Ph.D. in Geography from the University of Idaho. Dr. King’s research integrates historical climate data with modern ecological processes to address contemporary environmental challenges. She investigates topics such as tree-ring blue intensity as a climate proxy, fire-climate interactions, and the impacts of flooding on forest ecosystems. Her recent work highlights unprecedented warming trends in North America and the historical context of extreme weather events. Teaching responsibilities include courses on climate change, natural hazards, environmental history, and urban physical geography. Her work has been published in prominent journals, emphasizing interdisciplinary approaches to climate science and ecological resilience. Despite no listed scientific awards, her contributions to paleoclimatology are recognized through her extensive publication record. Dr. King collaborates with institutions to advance dendrochronological techniques and supports field-based research in regions such as the Great Basin, Rocky Mountains, and Gulf Coast. Her research often involves spatial analysis and historical data synthesis, contributing to broader understandings of climate change impacts on ecosystems.

• Dendrochronology
• Paleoclimatology
• Biogeography
• +۴ مورد دیگر

Mayra Román-Rivera is a Lecturer in the Department of Physical Geography and GIST at the University of Tennessee. Her research focuses on coastal geomorphology, remote sensing applications, and coastal management, with emphasis on post-storm recovery and community resilience. She specializes in analyzing coastal changes caused by erosion, sea-level rise, and tropical storms, particularly in Puerto Rico, Cape Cod, and the southeastern United States. Education: Ph.D. in Geography from the University of South Carolina. Research Interests: Coastal dynamics, GIS/remote sensing techniques, community-based resilience strategies, and the intersection of coastal science with social equity. She leads initiatives in citizen science and has recently become Chair of the Latin American and Caribbean Studies Independent Program. Professional Engagement: Active in community outreach programs to bridge scientific knowledge with local preparedness. Her work emphasizes practical applications of geospatial technologies in real-world scenarios.

• Coastal Geomorphology
• Coastal Management
• Remote Sensing
• +۳ مورد دیگر

Brent Ward is a Professor in the Department of Earth Sciences at Simon Fraser University and serves as Co-director of the Centre for Natural Hazards Research. His academic career is deeply rooted in Quaternary geology with a focus on understanding glacial history and paleoenvironmental changes in western North America. Ward received his B.Sc. (Hons.) in 1986 and Ph.D. in 1993, both from the University of Alberta. His educational background provided the foundation for his specialization in field-based Quaternary geology. Dr. Ward is a classical, field-based Quaternary geologist whose research interests span sedimentology, stratigraphy, paleoenvironmental reconstructions, surficial mapping, drift prospecting, and landslides. His current research primarily focuses on resolving aspects of the stratigraphy of the Cordilleran Ice Sheet and associated paleoenvironmental reconstructions. This interdisciplinary work requires collaborations with researchers across various fields and combines stratigraphic studies with plant and insect macrofossil and palynological analysis to reconstruct paleoenvironments and paleoclimate. A particularly innovative aspect of his research involves work on raised sea caves—the only such work being done in North America—which provides direct information to solve questions of glacial history and past fauna and climate. His research has significant implications for understanding potential human coastal migrations during the Late Wisconsinan period. Analysis of Ward's recent publications reveals a strong focus on Cordilleran Ice Sheet history, landslide mechanics, and glacial sedimentology. His work bridges traditional field geology with modern analytical techniques including cosmogenic nuclide dating, LiDAR analysis, and geospatial modeling. The research spans multiple geographic areas including British Columbia, Yukon, and the Canadian Arctic, addressing both fundamental scientific questions and practical applications in mineral exploration and hazard assessment. The Westerman Award for Outstanding Achievement in Geoscience EGBC (2023) APEG Fellowship APEGBC (2013) Engineers Canada Fellowship Engineers Canada (2009) Victor Milligan Paper Award Canadian Geotechnical Society (2010) Barlow Memorial Medal Canadian Institute for Mining, Metallurgy and Petroleum (2009) Ward actively supervises graduate students, with recent projects examining the glacial history of the Ruby Range in southwest Yukon and the effects of deglacial meltwater processes on kimberlite indicator mineral concentrations. His research has secured significant funding for field investigations and laboratory analyses, supporting both fundamental research and practical applications in natural hazard assessment and mineral exploration. He has developed strong collaborative relationships with government geological surveys, industry partners, and international research teams. As Co-director of the Centre for Natural Hazards Research, Ward leads interdisciplinary teams investigating geological hazards including landslides, glacial lake outburst floods, and seismic risks. His work integrates field observations with numerical modeling to improve hazard assessment and risk management in mountainous terrain. The Centre maintains strong connections with emergency management agencies and industry partners to ensure research findings translate into practical risk reduction strategies.

• Quaternary geology
• Sedimentology
• Stratigraphy
• +۶ مورد دیگر

Dr. Hairong Qi is the Gonzalez Family Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. Her research focuses on collaborative signal processing, computer vision, machine learning, and remote sensing. She directs the Advanced Imaging and Collaborative Information Processing (AICIP) Lab. Dr. Qi holds a PhD in Computer Engineering from North Carolina State University (1999), and MS/BS degrees in Computer Science from Northern JiaoTong University, China. Her work has been funded by NSF, DARPA, IARPA, ONR, NASA, and DHS. Her research contributions include over 200 technical papers and two co-authored books in computer vision. Notable awards include the IEEE Fellow (2018), NSF CAREER Award (2005), and GRSS Highest Impact Paper Award (2012). She has led projects in smart grid resilience, AI-driven healthcare, and hyperspectral imaging. Professional service includes editorial roles for IEEE Transactions on Image Processing and IEEE Multimedia Magazine, and leadership in conferences like ICPR, ICDSC, and WHISPERS. She has mentored numerous students and advised on interdisciplinary initiatives like the UT Cluster Hiring Initiative in Foundational AI. Dr. Qi’s work spans academic, industrial, and societal impacts, with innovations in sensor networks, cybersecurity, and agricultural robotics.

• Computer Vision
• Machine Learning
• Remote Sensing
• +۳ مورد دیگر