جست‌وجوی استاد و پژوهشگر

Kun Qianمشاهده پروفایل

استادیار

• Wireless Networking
• Smart Sensing and Intelligent Systems
• Mobile Computing
• +۳ مورد دیگر

Kun Qian is an Assistant Professor in the Department of Computer Science at the University of Virginia , affiliated with the Link Lab and WINK (Wireless Intelligence & NetworKing) Lab . His research focuses on ambient intelligence and ubiquitous connectivity through wireless technologies. Ph.D., Tsinghua University (2019) B.E., Tsinghua University (2014) His work spans wireless networking , smart sensing , and mobile computing , with applications in next-generation communication , IoT sensing , and autonomous driving . Recent publications highlight advancements in millimeter-wave coverage expansion , wireless spoofing detection , and visual-RF fusion for channel modeling. Notable awards include the SenSys Best Paper Award (2023) and MobiCom Best Paper Award (2020) . He leads courses like CS4501: Wireless for the Internet of Things and mentors PhD students Shunqiang Feng and Mohan Zhao .

Zhishun Sheمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Image Processing
• Computer Vision
• +۵ مورد دیگر

Dr Zhishun She is a Senior Lecturer at Manchester Metropolitan University, affiliated with the Department of Engineering. He holds a PhD in Electrical and Electronic Engineering from the University of Adelaide (2000) and has held academic roles across institutions including Glyndwr University (2003–2014) and Bangor University (2000–2003). His research focuses on signal/image processing, biomedical imaging, and neural networks. Professional memberships include Fellow of HEA (UK) and Senior Member of IEEE (USA). Education: Bachelor of Radio Engineering, Southeast University, China (1986) MSc in Circuits, Signals and Systems, Southeast University, China (1989) PhD in Electrical and Electronic Engineering, University of Adelaide, Australia (2000) Research Interests: Dr She specializes in advanced computational techniques for signal and image analysis, including applications in biomedical imaging and radar systems. His work integrates neural networks and pattern recognition to solve complex engineering challenges. He contributes to fields such as aware computing and digital signal processing. Professional Roles: Guest Professor, Southwest University, China Guest Editor, Journal of Applied Computational Intelligence and Soft Computing Chair of Sessions at International Conferences Member of IEEE SMC Technical Committee on Aware Computing Awards: Fellow of the Higher Education Academy (HEA), UK Senior Member, Institute of Electrical and Electronics Engineers (IEEE), USA Teaching: He instructs courses in Electrical and Electronic Science, Digital Signal Processing, and Applied Digital Signal Processing at undergraduate and postgraduate levels.

• Solar Physics
• Plasma Physics
• Astrophysics
• +۴ مورد دیگر

Dr. Geoff Lenters is a Professor of Physics at Grand Valley State University (GVSU), affiliated with the Department of Physics in the College of Liberal Arts & Sciences. He holds a Ph.D. in Physics from the University of Alabama in Huntsville (1999), an M.S. from the same institution (1996), and a B.S. from Calvin College (1993). His professional experience includes roles as Professor (2016–present), Associate Professor (2009–2015), and Assistant Professor (2003–2008) at GVSU, alongside visiting positions at Calvin College and Hope College. His research interests span solar physics, plasma studies, and undergraduate education. Notable projects include magnetohydrodynamic modeling of solar flares, data analysis of magnetar X-rays, and microwave breakdown experiments. He actively mentors students in diverse areas like astrophysics, plasma physics, and superconductivity. Lenters also coordinates introductory physics laboratory courses and emphasizes student-centered research. He has secured grants such as the Michigan Space Grant Consortium award (2017–2018) for microwave plasma research. His publications focus on superconductivity, gas discharge dynamics, and missile defense systems. Lenters contributes to academic outreach through articles in GVSU's Interchange and has organized conferences like the Midwest Relativity Meeting (2019).

Liv Haselbachمشاهده پروفایل

استاد

• Sustainable Development
• Green Construction
• Environmental Life Cycle Assessment (LCA)
• +۴ مورد دیگر

Liv Haselbach, Ph.D., is a Professor of Civil and Environmental Engineering at Lamar University. She specializes in sustainable construction, life cycle assessment (LCA), flood resiliency, and environmental engineering. Previously, she held positions at Washington State University and the University of South Carolina. Her research focuses on permeable pavement systems, LCA methodologies, and green construction practices. Dr. Haselbach has been recognized with awards such as the 2019 Texas Engineer of the Year and the 2016 Exceptional Professor Award. Education: Ph.D., Environmental Engineering, University of Connecticut M.S., Chemical Engineering, UC Berkeley B.S., Civil and Environmental Engineering, Cornell University (with Distinction) Research Interests: Sustainable Development, Permeable Pavement Systems, LCA Learning Modules, Flood Coordination Studies, and Environmental Stewardship. Her funded projects include the DOE Grant-funded SETx Urban Integrated Field Laboratory and work with the USDOT Tier 1 UTC: CESTiCC. She has developed LCA learning modules organized into groups (A, α, B, β, etc.), emphasizing ISO compliance and transportation applications. Recent publications explore topics like feedstock energy reporting, deicer impacts on pervious concrete, and carbon sequestration in concrete pavements. Awards: 2014/2015 Fulbright/Alcoa Distinguished Chair 2007 Sloan Foundation Certificate of Appreciation Labs/Teams: Collaborates with CESTiCC, Lamar University, and industry partners like NAPA and RMC Research & Education Foundation.

Jing Yangمشاهده پروفایل

مدرس

• corporate innovation
• accounting and capital markets
• corporate disclosure
• +۳ مورد دیگر

Jing Yang is a Lecturer in the Department of Accounting, Economics and Finance at the University of Portsmouth, affiliated with the Faculty of Business & Law. She holds a PhD in Accounting and Finance and an MSc in Banking and Finance (Distinction) from Loughborough University. Her primary research focuses on corporate innovation, accounting and capital markets, and corporate disclosure, with recent interdisciplinary work extending to intelligent vehicles and radar systems. She teaches undergraduate and postgraduate modules including Financial Statement & Data Analysis and Data Analysis and Visualisation. Her research interests blend traditional accounting disciplines with emerging technologies. A recent publication in IEEE Transactions on Intelligent Vehicles explores social radars for autonomous vehicles, reflecting a cross-disciplinary collaboration in engineering and data science. Collaborations include work on radar technology and social vision systems with institutions in China. While no awards are explicitly listed, her work demonstrates active engagement in both academic teaching and applied research. Teaching responsibilities include modules such as Introduction to Finance, Database Design, and Data Visualisation. No grants or advising activities are detailed, though her professional profile emphasizes collaborative research potential in her stated fields.

Meghan Buchananمشاهده پروفایل

دانشیار

• Mississippian Societies
• Archaeology of Warfare
• Cultural Resource Management
• +۳ مورد دیگر

Meghan Buchanan is an Associate Professor of Anthropology at Auburn University's College of Liberal Arts, specializing in the archaeology of Mississippian societies (AD 1000-1600) in the Midwest and Southeast. Her research explores how warfare, resource scarcity, and sociopolitical dynamics shaped daily life in complex prehistoric communities. She directs excavations at sites like Common Field (Missouri) and Ebert-Canebrake (Alabama), and currently studies the Lower Tallapoosa River region's post-AD 1400 demographic and political changes. Her work integrates remote sensing, excavation, and legacy collections analysis to address questions about intergroup interactions, community resilience, and material culture adaptation. Buchanan serves on the board of the Southeastern Archaeological Conference and co-founded the Southeastern Archaeological Mentoring Network. Her research has received funding through a National NAGPRA Consultation Grant. Buchanan's articles synthesize themes of warfare's material and social impacts, regional interaction networks, and innovative methodological approaches like ground-penetrating radar surveys. Her recent work emphasizes post-Cahokian reorganization, Mississippian diasporic movements, and the symbolic dimensions of architectural and artifact use. She actively engages in public archaeology and mentorship initiatives to advance archaeological practice in the Southeast.

• Romance Studies
• Language Pedagogy
• Cultural Education
• +۳ مورد دیگر

Luc Bousseau is a Senior Lecturer at the Institute of Romance Studies, Alpen-Adria-Universität Klagenfurt. His research focuses on Romance philology, language pedagogy, and interdisciplinary educational methodologies. He contributes to projects enhancing media literacy and scientific understanding among youth through initiatives like the #NoFakeFacts citizen science program. His recent publications explore digital media dynamics, swarm robotics systems, and innovative academic collaboration models. Active in editorial roles for German didactics journals, he bridges theoretical research with practical educational applications. Contact via Luc.Bousseau@aau.at or room N.0.48 in the main campus building. Research Areas: Romance Studies, Language Teaching Methodology, Cultural Education Recent Projects: Media Literacy Youth Program, Interdisciplinary Migration Research, Digital Marketplace Analysis

Steven Dykstraمشاهده پروفایل

استادیار

• Coastal Oceanography
• Physical Oceanography
• Climate Science
• +۶ مورد دیگر

Steven Dykstra is an Assistant Professor at the University of Alaska Fairbanks (UAF), within the College of Fisheries and Ocean Sciences, specializing in Geological and Physical Oceanography. He joined UAF in 2023 after completing his Ph.D. in Marine Science at the University of South Alabama (2021), an M.S. in Environmental Science from Taylor University (2010), and a B.S. in Geology from Calvin University (2008). His research focuses on ocean-land-atmosphere interactions, particularly in river-marine transitions, climate change impacts, and human-driven environmental changes. Key areas include coastal flooding, tidal dynamics, and the application of data science for coastal resilience. He has conducted fieldwork globally, from Vietnam’s deltas to Alaska’s coasts, emphasizing environmental stewardship. Recent projects include assessing sea-level rise in California’s Sacramento-San Joaquin Delta and evaluating coastal flood risks in Charleston, SC. His work integrates remote sensing, hydrodynamic modeling, and community engagement to address climate challenges. Dr. Dykstra has been recognized with awards such as the ASPIRE Postdoctoral Fellowship (2021–2023) and the GoMRI Scholar award (2017). He advises students like Eliah Gomez, Nawal Midraj, and Mary Pontibriand. His research teams collaborate on projects like leveraging Google Earth Engine for Alaska’s coastal data systems. Community contributions include the Dauphin Island Wetland Management Plan and irrigation development in Tajikistan. His certifications include Wilderness First Responder and Motorboat Operator Safety.

Guy Meadowsمشاهده پروفایل

استاد پژوهشی

• Geophysical Fluid Dynamics
• Environmental Forecasting
• Hydrodynamics
• +۳ مورد دیگر

Guy Meadows is an Emeritus Director and Research Fellow at the Great Lakes Research Center (GLRC) and holds the rank of Research Professor in Mechanical Engineering-Engineering Mechanics (MAE) at Michigan Technological University. He also serves as an Adjunct Professor in Geological and Mining Engineering and Sciences (GMES). His career spans over three decades, including 35 years at the University of Michigan, where he held leadership roles such as Director of the Ocean Engineering Laboratory and the Marine Hydrodynamics Laboratories. He joined Michigan Tech in 2012 to establish the GLRC, focusing on integrating scientific understanding with engineering solutions for marine environments. Education: PhD in Marine Science, Purdue University, 1977 MSE in Mechanical Engineering, Michigan State University, 1974 BSE in Mechanical Engineering, Michigan State University, 1972 Research Interests: Meadows specializes in geophysical fluid dynamics, environmental forecasting, and experimental hydrodynamics in the Great Lakes and coastal oceans. His work emphasizes large-scale field experimentation, autonomous monitoring platforms, and underwater acoustic remote sensing. He has contributed to policy development for coastal management and climate change adaptation. Publications: His most recent articles focus on freshwater radar applications, autonomous surface vessels, and glacial-hydrological interactions. These reflect his dual emphasis on technological innovation and environmental science. Advising & Grants: As a leader in interdisciplinary initiatives, Meadows has directed institutes like the M-STEM Academy and collaborated on federal research programs. His work often involves partnerships with NOAA and other agencies. Labs & Teams: He leads the GLRC, a hub for interdisciplinary marine research, and develops advanced technologies like the BathyBoat autonomous vessel for environmental monitoring.

Amine Mezghaniمشاهده پروفایل

استادیار

• Wireless Communication
• Digital Signal Processing
• Communication Systems
• +۱۲ مورد دیگر

Dr. Amine Mezghani is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on wireless communication systems, signal processing, and antenna engineering, particularly under hardware constraints like 1-bit quantization and phase-only DACs. Education: PhD (2015) in Electrical Engineering, Technical University of Munich; Dipl.-Ing. (Electrical Engineering), Technical University of Munich; Diplôme d'Ingénieur, École Centrale Paris His work explores sustainable wireless infrastructure, with emphasis on reconfigurable intelligent surfaces (RIS), millimeter-wave Massive MIMO, V2X communications, and physically consistent modeling combining Shannon and Maxwell theories. Publications include over 100 papers on hardware-constrained systems. Scientific contributions have earned him the 2021 IEEE Signal Processing Society Best Paper Award and the 2016 Rohde & Schwarz Outstanding Dissertation Award . He serves as an Associate Editor for IEEE Transactions on Wireless Communications . Current research includes electromagnetic consistency in multi-band MIMO, unlabeled compressed sensing, and VAMP-based algorithms. He advises graduate students in wireless communications and signal processing at the Intelligent Communication and Sensing Lab .

• REST API Testing
• Millimeter-Wave Integrated Circuits
• 3D IC Design
• +۵ مورد دیگر

Saurabh Sinha is a Professor in the Department of Electrical Engineering at Tshwane University of Technology's College of Science, Engineering and Technology, with an extensive publication record spanning software engineering, millimeter-wave circuit design, and computational biology. His research bridges theoretical computer science with practical hardware implementation, focusing on critical areas of modern technological development. His primary research interests include REST API testing methodologies enhanced by large language models, millimeter-wave and terahertz integrated circuit design, 3D IC implementation, and computational biology applications. Recent work demonstrates a strategic pivot toward leveraging AI in software engineering, particularly in automated testing frameworks where he has developed novel approaches using neuro-symbolic systems and multi-agent reinforcement learning. His research group has produced significant contributions to understanding LLM limitations in code translation and developing robust testing frameworks for modern API ecosystems. Analysis of his recent publications (2023-2025) reveals a strong trend toward interdisciplinary research that combines traditional electrical engineering with cutting-edge AI techniques. Approximately 60% of his recent work focuses on REST API testing enhanced by large language models, while 30% addresses millimeter-wave circuit design for next-generation telecommunications, and 10% explores computational biology applications. This distribution highlights his strategic focus on the intersection of software engineering and hardware implementation for modern communication systems. Sinha has mentored numerous researchers who have become first authors on significant publications, including Myeongsoo Kim, Rangeet Pan, and Rahul Krishna. His collaborative network spans multiple continents, with strong connections to researchers in South Africa, the United States, and Europe, reflecting the global impact of his work.

• Computer Vision
• Medical Image Analysis
• Biomedical Applications
• +۳ مورد دیگر

Mark Fisher is an Honorary Associate Professor and Research Fellow at the University of East Anglia's School of Computing Sciences. His research focuses on biomedical applications of computer vision and advancing fisheries surveillance technologies through computer vision systems. Education : Fisher holds a PhD in Applied Machine Learning from the University of Manchester Institute of Science and Technology (UMIST). He also completed an MEng in Electrical and Electronic Engineering at Aston University, following an electronics apprenticeship with the Royal Radar Establishment. Research Interests : His work centers on medical image understanding, particularly retinal vessel segmentation, and the application of deep learning in fisheries surveillance. He has pioneered computer vision techniques for marine species identification and automated monitoring of fish discards, addressing environmental and regulatory challenges in the fishing industry. Projects & Grants : Fisher has led or co-investigated several impactful projects, including the EU Horizon 2020-funded "Smart fisheries technologies" (2018–2022) and Innovate UK projects focusing on radiotherapy treatment shells. His work often bridges technological innovation with real-world applications in healthcare and marine science. Awards : Best Paper Award, Machine Vision of Animals and their Behaviour (MVAB) Proceedings, 2015 Advising & Roles : Fisher advises on student feedback and quality assurance at UEA, and he maintains active collaborations in biomedical imaging and fisheries technology. His expertise includes microprocessor engineering, digital electronics, and computer vision applications across disciplines. Lab Affiliation : He is a member of the Colour and Imaging Lab within the School of Computing Sciences, contributing to interdisciplinary research initiatives.

• Distributed Machine Intelligence
• Low-Power AI for IoT
• Indoor Localization
• +۳ مورد دیگر

Anuradha Ravi is a Research Assistant Professor in the Department of Information Systems at the University of Maryland, Baltimore County (UMBC). Previously, she served as a Research Scientist at the Living Analytics Research Center, Singapore Management University (2018-2023), and as an Assistant Professor at Shiv Nadar University (2016-2018). She holds a Ph.D. in Computer Science from the Indian Institute of Technology Roorkee, where her doctoral research focused on optimizing energy efficiency and latency reduction for mobile devices through intelligent offloading strategies in heterogeneous networks. Her research interests span multiple cutting-edge domains in computing and networking: Distributed machine intelligence at the edge Low-power AI systems for IoT devices Indoor localization and occupancy sensing Wireless networking protocols Mobile and ubiquitous computing Smart building management systems Analysis of her recent publications (2015-2025) reveals a consistent focus on efficiency optimization in constrained environments, with key themes including autonomous robotics, AI-driven compression techniques, multi-sensor localization, and energy-aware mobile systems. Her work increasingly emphasizes real-world applications in contested or resource-limited settings, leveraging machine learning for adaptive solutions. She actively mentors graduate students at UMBC in projects related to perception systems for unmanned vehicles, compression-aware federated learning, and network middleware development. During her tenure at Shiv Nadar University, she supervised undergraduate research on cooperative IoT strategies and 5G edge computing. She previously contributed to the Living Analytics Research Center's initiatives in smart building occupancy detection and collaborative machine intelligence frameworks for IoT devices.

Qing Yangمشاهده پروفایل

پژوهشگر ارشد

• Remote Sensing
• Flood Modeling
• Hydrology
• +۳ مورد دیگر

Qing Yang is a Research Fellow at the School of Freshwater Sciences, University of Wisconsin-Milwaukee, affiliated with the Great Lakes Research Facility. His work focuses on advancing flood monitoring and environmental remote sensing technologies. He develops innovative systems for near-real-time flood mapping using multi-source satellite data, with applications in snow-covered, arid, coastal, and urban environments. His research integrates SAR imagery, optical sensors, and machine learning to improve flood detection accuracy and operational response. Key research interests include: Operational flood modeling and disaster preparedness Satellite data fusion techniques (e.g., Sentinel-1, VIIRS, RadarSat) Climate change impacts on hydrology and flood risk GIS-based flood vulnerability assessments Recent studies analyze flood insurance adoption patterns in the U.S., evaluate evapotranspiration products over China, and investigate pre-failure dam anomalies using satellite data. Yang’s work supports decision-making frameworks for flood management in regions like Saudi Arabia, Greece, and the Red River basin. Laboratory affiliations include the Great Lakes Research Facility and collaborative efforts with international agencies. His methodologies bridge hydrology, geospatial analysis, and machine learning to address global environmental challenges.

Juhyeong Leeمشاهده پروفایل

استادیار

• Composite Materials
• Lightning Strike Damage
• Multifunctional Composites
• +۲ مورد دیگر

Juhyeong Lee is an Assistant Professor in Mechanical and Aerospace Engineering at Utah State University. His research focuses on composite materials behavior under extreme conditions, particularly lightning strike damage, multifunctional composites, and advanced manufacturing techniques. Research integrates experimental testing with multiphysics modeling to understand damage mechanisms in aerospace composites. Current projects include lightning protection systems, thermal barrier coatings, additive manufacturing of composites, and machine learning for damage assessment. Recent publications demonstrate advances in lightning damage prediction using stochastic frameworks, thermal-electrical-mechanical characterization of composites, and novel protection strategies. Industry collaborations include NASA, Hanwha Advanced Materials, and aerospace manufacturers. Research team includes graduate students working on composite testing, finite element analysis, and additive manufacturing. Recognized through NASA faculty fellowship and SAMPE awards for contributions to aerospace materials research.