جست‌وجوی استاد و پژوهشگر

Heng Caiمشاهده پروفایل

استادیار

• Geographic Information Science
• Disaster Resilience
• Socio-Environmental Sustainability
• +۳ مورد دیگر

Dr. Heng Cai is an Assistant Professor at Texas A&M University, leading the GIScience for Resilience (GIResilience) Research Group. Her work focuses on geographic information science, disaster resilience, socio-environmental sustainability, and environmental health. She develops geospatial data mining and decision-support tools to model human-environment interactions under climate change and natural hazards. Education: Ph.D. in Environmental Science (Louisiana State University), M.S. in Geographic Information Science (Chinese Academy of Sciences), B.E. in Surveying and Mapping (China University of Geosciences). Research interests include geospatial data science, hazard modeling, and resilience assessment. Her group has pioneered studies on land loss prediction in coastal Louisiana, social media analysis for disaster response, and cyberGIS platforms like PRIME. Recent work emphasizes climate adaptation strategies and urban resilience frameworks. Publications span interdisciplinary journals like Remote Sensing , Annals of the American Association of Geographers , and International Journal of Digital Earth . She actively collaborates with NASA and disaster management agencies, securing grants for projects like HeatSMART and U-CARE. Labs/Teams: GIResilience Group (www.gis-resilience.info) focuses on innovative geospatial solutions for societal resilience. She mentors undergraduate and graduate students in GIS programming, webGIS, and geodatabase applications.

Renato J. Figueiredoمشاهده پروفایل

استاد

• Distributed Systems
• Cyberinfrastructure
• Resource Virtualization
• +۷ مورد دیگر

Renato J. Figueiredo is a Professor at the School of Electrical Engineering and Computer Science (EECS) at Oregon State University , where he leads the HiPCastor research group. His work focuses on distributed systems , cyberinfrastructure , and resource virtualization across edge-to-cloud computing, applied to ecological forecasting , biodiversity , and smart communities . Prior roles include Assistant Professor at Northwestern University (2001-2002) and Associate/Full Professor at the University of Florida (2002-2024), with sabbatical research at Vrije Universiteit (2012-2013). Education : Ph.D., Computer Engineering, Purdue University (2001) M.S., Electrical Engineering, University of Campinas (1995) B.S., Electrical Engineering, University of Campinas (1994) Research Interests span virtualization technologies (virtual machines, networks, file systems), edge and cloud computing , and cyberinfrastructure for interdisciplinary science, particularly freshwater ecosystems and biodiversity . His work integrates software-defined networking and serverless computing to enable scalable, resilient systems for real-time ecological monitoring and decision-making . Research Trends in recent articles emphasize edge-to-cloud virtual networks (e.g., EdgeVPN.io), serverless scientific workflows (FaaSr), and ecological forecasting systems (FLARE) applied to water quality and climate change mitigation . His work bridges computer systems with natural sciences to address societal challenges. Scientific Awards include: 2017 University of Florida Term Professorship 2012 ACM HPDC Symposium Best Paper of 1992-2012 2008 WETICE and ACM HPDC Best Paper Awards 2007 IBM Faculty Award 2000 Maria Canto Neuberger Award (Purdue) Advising and Grants : Actively recruits students with expertise in computer systems , Linux , cloud platforms , and open-source development . His career includes over 50 funded projects as PI/Co-PI/senior personnel from NSF , Intel , IBM , NOAA , DOE , and NASA , including the NSF CI-Elements award for EdgeVPN development and iDigBio collaborations. Labs and Teams : Leads the HiPCastor research group at Oregon State University, focusing on systems and HPC for serverless computing , distributed systems , and emerging applications in environmental sciences. His team develops open-source tools like EdgeVPN and FaaSr , with emphasis on real-world impact and interdisciplinary collaboration .

• Geographic Information Systems (GIS)
• River Channel Morphology
• Hydrologic Modeling
• +۳ مورد دیگر

Dr. Venkatesh M. Merwade is an Assistant Professor in the Department of Civil Engineering at Purdue University's College of Engineering. His research focuses on applying Geographic Information Systems (GIS) to water resources engineering, particularly river channel morphology. Education: B.Engg. in Environmental Engineering, Shivaji University; M.S. in Engineering Hydrology, National University of Ireland; Ph.D. in Civil Engineering, University of Texas at Austin He previously worked as a project engineer at Montgomery Watson Harza (MWH) in India and as a post-doctoral fellow at the Center for Research in Water Resources, University of Texas at Austin. His research includes developing the River Channel Morphology Model (RCMM) for 3D river channel bathymetry and exploring high-quality terrain data integration into hydrological modeling. Dr. Merwade also investigates cyberinfrastructure applications in water resources engineering.

Jessica Bloisمشاهده پروفایل

استاد

• Paleoecology
• Niche Modeling
• Community Modeling
• +۵ مورد دیگر

Jessica Blois is a Professor in the School of Natural Sciences at the University of California, Merced, where she focuses on ecological and evolutionary responses to environmental change. Her research spans paleoecology , niche modeling , and phylogenetics , integrating data from fossil records and ancient DNA to understand biodiversity dynamics across millennia. Ph.D., Stanford University (2009) M.A., Humboldt State University (2005) B.S., University of California, San Diego (2000) Her lab develops cyberinfrastructure for paleoecological databases like Neotoma , emphasizing ethical open science and FAIR data principles. Recent work explores climate velocities, ecological novelty, and no-analog communities to inform conservation strategies. Key scientific contributions include: Developing frameworks for paleoecological data integration Advancing user-centered design in open-source scientific software Investigating millennial-scale drivers of mammal community dynamics Linking phylogeography to climate refugia identification Training initiatives for equitable academic workplaces Notable recognition includes the National Science Foundation CAREER Award . Her lab (Science and Engineering 1, Rooms 235/279/281) provides resources for students and researchers via https://jessicablois.com/ .

Sean B. Clevelandمشاهده پروفایل

پژوهشگر

• science gateways
• cyberinfrastructure
• high-performance computing
• +۳ مورد دیگر

Dr. Sean B. Cleveland serves as Director of Research Cyberinfrastructure for the University of Hawaii (UH) System Information Technology Services and holds an Affiliate Researcher position at the Hawaii Data Science Institute. He additionally co-chairs the Campus Research Computing Consortium (CaRCC) interest group and participates in the NSF center for excellence for science gateways leadership team. Educational background: Ph.D. in Microbiology, Montana State University B.S. in Computer Science His research focuses on enabling scientific acceleration through cyberinfrastructure, with core expertise in science gateways, high-performance computing, bioinformatics, and AI-driven data science. He develops scalable computational solutions to empower researchers across diverse disciplines. As Principal Investigator, he leads NSF-funded initiatives including Cyberinfrastructure Pacific Professionals (CI-PP), the Tapis Framework, and Koa high-performance computing resources. He also co-leads Cyberinfrastructure Training to Advance Environmental Science (CITRACS) and Change-HI projects while serving as Cyberinfrastructure Lead for the Hawaii Climate Data Portal and Ike Wai Gateway. Dr. Cleveland manages a dedicated team comprising cyberinfrastructure specialists, research software engineers, and data science professionals within UH's Information Technology Services.

Azim Ahmadzadehمشاهده پروفایل

استادیار

• Machine Learning
• Space Weather Forecasting
• Solar Physics
• +۴ مورد دیگر

Azim Ahmadzadeh serves as an Assistant Professor in the Department of Computer Science at the University of Missouri–St. Louis within the College of Arts and Sciences. Holding a Ph.D. in Computer Science from Georgia State University (2021), he maintains office hours in 329 ESH on Mondays and Wednesdays from 5:00-6:30 PM via Zoom or in person, with flexible scheduling options for students. Education: Ph.D. Computer Science, Georgia State University, 2021 Dr. Ahmadzadeh's research pioneers machine learning applications for space weather forecasting, specializing in solar flare prediction through innovative time series analysis and computer vision techniques. His work systematically addresses critical challenges including extreme class imbalance in solar datasets, temporal coherence requirements, and data scarcity through novel algorithmic developments. Key contributions include advanced similarity metrics for multivariate time series, synthetic data generation frameworks, and anomaly detection systems specifically designed for solar observations. His publication trajectory (2022-2025) reveals a strategic focus on operationalizing machine learning for heliophysics, with significant output in solar filament detection systems (Elements, MAGFILO), time series analysis innovations (Multiscale Dubuc, Ts-miou), and practical guides for scientific data annotation. This work bridges theoretical machine learning with real-world space weather forecasting needs, evidenced by roadmap documents for SEP monitoring and solar research cyberinfrastructure. Dr. Ahmadzadeh actively develops open resources for the solar physics community including manually annotated datasets, standardized annotation protocols, and ML-ready data pipelines. His research program demonstrates strong interdisciplinary collaboration potential with space agencies and observatories, particularly through contributions to white papers on solar research infrastructure and operational forecasting requirements.

Luis Rodriguezمشاهده پروفایل

دانشیار

• Big Data Modeling and Analytics
• Food Energy and Water Security
• Environmental Impacts of Agricultural Production
• +۴ مورد دیگر

Luis Rodriguez serves as Associate Professor in the Department of Agricultural and Biological Engineering within the College of Agricultural, Consumer and Environmental Sciences (ACES) at the University of Illinois at Urbana-Champaign. His academic leadership spans transdisciplinary research at the critical nexus of food, energy, and water systems, with particular focus on disaster resilience and community engagement initiatives. Dr. Rodriguez earned his educational foundation at Rutgers University with a B.S. (1995), M.S. (1999), and Ph.D. (2002) in Bioresource Engineering, complemented by doctoral work in Industrial and Systems Engineering. His professional trajectory includes progression from Assistant Professor (2005-2012) to Associate Professor (2012-present) at UIUC, with prior research appointments at NASA facilities and Orbital Space Sciences Corporation. His research program integrates Big Data analytics, modeling, and decision support systems to address food-energy-water security challenges, environmental impacts of agricultural production, and social constraints on engineered systems. Current projects emphasize reliability, resiliency, and sustainability in engineered solutions, particularly through his leadership of the INFEWS-ER (Innovation at the Nexus of Food, Energy, and Water Systems - Educational Resources) initiative. Recent scholarly output reveals strong concentration on biomass supply chain optimization, cyberGIS applications, microbial community modeling, and disaster resilience engineering, with significant methodological contributions to spatial analytics and transdisciplinary systems approaches. Dr. Rodriguez has received multiple teaching honors including the NACTA Teacher Fellow Award (2011), Engineering Council Outstanding Advisor (2012), consistent recognition as an Excellent Teacher (2012-2018), and the prestigious J. Kent Mitchell Teaching Excellence Award (2019). His service includes the ACES Research Policy Committee and Chief Advisor role for Agricultural and Biological Engineering. He directs the UIUC Puerto Rico Disaster Relief Program, which has conducted multiple service-learning trips following Hurricane Maria. This initiative exemplifies his commitment to community-engaged engineering, where students develop microgrids, remove invasive species, and implement sustainable solutions through partnerships with Amizade and Caras Con Causa. His course portfolio includes ABE 398 Disaster Relief Study Tour, ABE 452 Engineering for Disaster Resilience, and multiple Global Disaster Resilience courses across engineering and agricultural disciplines.

Andreas Kronenbergمشاهده پروفایل

استاد

• Tectonophysics
• Structural Geology
• Rock Mechanics
• +۴ مورد دیگر

Andreas Kronenberg is a Professor and the Michael T. Halbouty Chair in Geology at Texas A&M University, serving as Associate Director of the Center for Tectonophysics. He holds dual affiliations with the Department of Geology and Geophysics and the Texas A&M College of Geosciences. His research focuses on structural geology, tectonophysics, and mineral physics, with emphasis on Earth materials' mechanical properties and deformation mechanisms at high pressure/temperature conditions. Dr. Kronenberg leads experimental studies on water weakening in quartz/feldspar, anisotropic rock behavior, and carbonate rheology in subduction zones. Education: PhD (Geology, Brown University, 1983), MS (Geology, Brown University, 1979), BS (Geology, UCLA, 1977). Research explores (1) fluid-rock interactions in deformation, (2) crystal plasticity in silicates and carbonates, and (3) high-temperature creep mechanisms. Key contributions include discovering reversible water weakening in quartz and developing StraboSpot's digital deformation data archives. He participates in AGU's Mineral and Rock Physics Focus Group and the NSF-funded In-situ Rock Deformation RCN. Award-winning educator and researcher, Kronenberg teaches graduate courses in structural petrology (Geol 665) and experimental rock mechanics (Geop 615), while mentoring students through collaborative projects. His work bridges laboratory experiments with field observations, advancing understanding of lithospheric deformation processes.

• Plant Biology
• Systems Biology
• Genomics
• +۴ مورد دیگر

Dr. Shahid M. Mukhtar is a tenured Full Professor in the Department of Genetics and Biochemistry at Clemson University's College of Science. Previously, he held faculty positions at the University of Alabama at Birmingham (UAB), advancing from Assistant to Full Professor. He earned his Ph.D. in Genetics from the Max Planck Institute (Germany) and conducted postdoctoral research at UNC Chapel Hill, focusing on Arabidopsis-pathogen interactions. His research integrates systems biology, genomics, and spatial transcriptomics to study non-canonical genetic elements like extrachromosomal DNA and microproteins. He leads efforts to establish Stereo-seq technology for high-resolution spatial profiling in plant and animal systems. Dr. Mukhtar is Director of the Multinational Arabidopsis Steering Committee (MASC) and has organized conferences for the American Society of Plant Biologists and Plant & Animal Genome meetings. He has received awards including the Odessa Woolfolk Community Service Award (2023) and President’s Award for Excellence in Teaching (2021). His lab actively seeks students interested in computational biology, multi-omics analysis, and plant-microbe interactions. Mentorship highlights include students winning NSF fellowships, Samuel Barker Awards, and other accolades.

Mark S. Shephardمشاهده پروفایل

استاد

• Scientific Computing
• High-Performance Computing
• Numerical Simulation
• +۵ مورد دیگر

Mark S. Shephard is the Samuel A. Johnson '37 and Elizabeth C. Johnson Professor of Engineering and Director of the Scientific Computation Research Center (SCOREC) at Rensselaer Polytechnic Institute, with joint appointments in Mechanical, Aerospace and Nuclear Engineering and Computer Science departments. His research pioneers Scientific Computing and High-Performance Simulation , driving innovations in automatic mesh generation , adaptive analysis methods , and parallel adaptive simulation technologies . SCOREC's work spans five core areas: High-Performance Simulation Methods - advanced mathematical models and discretization Simulation Reliability – uncertainty quantification and adaptive techniques Massively Parallel Computations – scalable solutions for real-world engineering problems Multiscale Computations - cross-scale modeling frameworks Construction of Simulation Systems – collaborative workflow development Applications include fusion plasma, soft tissue modeling, additive manufacturing, and microelectronics. Recent publications (2022-2025) reveal intense focus on GPU-accelerated unstructured mesh methods for fusion energy research and multiscale material science, with growing emphasis on exascale computing and cyberinfrastructure for plasma physics. His work increasingly bridges computational theory with industrial applications in CAE and medical device evaluation. Professor Shephard has graduated 24 Ph.D. students and secured over 65 research grants from 13 government agencies including DOE (SciDAC Institutes, Exascale Computing Program), NSF, NIH, DoD, and NASA, plus funding from 44 industry partners. His leadership extends to SCOREC's collaborations with ten+ universities and commercial impact through medical simulation software used in arterial stent evaluation. As SCOREC's founder and director for 32 years, he integrates faculty from seven departments across Rensselaer to advance simulation technologies. His Simmetrix Inc. co-founding role demonstrates commitment to translating research into engineering solutions, with current work targeting fusion plasma systems and heterogeneous supercomputing environments.

Charles F. Vardeman IIمشاهده پروفایل

استاد پژوهشی

• Computational Science
• Linked Data
• Semantic Web
• +۴ مورد دیگر

Charles F. Vardeman II is a Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame, where he also holds an appointment at the Center for Research Computing (CRC). He earned his B.S. and Ph.D. in Chemistry from Notre Dame, focusing on theoretical chemistry and molecular dynamics simulations of nano-metallic and glassy systems. His research integrates computational models with linked data and semantic web principles, emphasizing ontology design patterns (ODPs) to enhance data integration and discovery. He explores AI-driven approaches for knowledge representation in machine learning and symbolic neural networks. Education: B.S. in Chemistry (Notre Dame), Ph.D. in Theoretical Chemistry (Notre Dame). Research interests include computational modeling, semantic web technologies, ontology engineering, and the application of AI to material science and environmental sustainability. His work bridges domains like molecular dynamics simulations, geospatial data systems, and cyberinfrastructure design. Recent projects address hurricane risk assessment, resilient building design, and open-source molecular dynamics tools like OpenMD. Publications focus on advancing open-source computational tools, ontology-driven data integration, and interdisciplinary cyberinfrastructure. Notable contributions include developing the OpenMD molecular dynamics engine and frameworks for geospatial data interoperability. He has contributed to initiatives like the Cyberinfrastructure Center of Excellence and CyberEye for disaster response systems. His efforts emphasize linking computational experiments with real-world applications through semantic technologies.

Larry J. Weberمشاهده پروفایل

استاد

• Hydraulic Engineering
• Flood Modeling
• River Restoration
• +۵ مورد دیگر

Larry J. Weber is the Edwin B. Green Chair in Hydraulics and Professor in Civil and Environmental Engineering at the University of Iowa's College of Engineering. He serves as Director of IIHR—Hydroscience and Engineering, Center for Hydrologic Development, and Interim Director of the Iowa Flood Center. His research focuses on hydraulic engineering, flood modeling, river restoration, and water quality management, integrating computational fluid dynamics and ecological data to address challenges in fish passage facilities, sediment transport, and nutrient dynamics in agricultural watersheds. Education: PhD (1993), MS (1990), and BS (1989) in Civil and Environmental Engineering from the University of Iowa. Research interests include hydrodynamic modeling of large river systems, flood mitigation strategies, and the impact of agricultural practices on water quality. He leads projects like the Iowa Watersheds Project and developed the Iowa Flood Information System (IFIS), a real-time flood forecasting platform. His work emphasizes interdisciplinary approaches to environmental resilience and policy-driven solutions for water resource sustainability. Key contributions include advancing hydraulic design of fish passage facilities, quantifying phosphorus budgets in river systems, and evaluating the efficacy of distributed flood mitigation structures. He collaborates with federal and state agencies to translate scientific insights into actionable flood management policies.

• Plant Taxonomy
• Biodiversity Conservation
• Phylogenetics
• +۳ مورد دیگر

Thomas Borsch is a Researcher at the Botanischer Garten und Botanisches Museum Berlin (Freie Universität Berlin). He serves as the corresponding author for the World Flora Online (WFO) project, a global initiative to create a comprehensive, authoritative database of plant biodiversity. His work focuses on taxonomic consensus-building, phylogenetic classification, and digital infrastructure development for systematic botany.

Vidya Samadiمشاهده پروفایل

استاد پژوهشی

• Hydroinformatics
• Machine Learning
• Water Resources Management
• +۱۲ مورد دیگر

Vidya Samadi is a Research Professor at Clemson University, leading the Hydroinformatics Research Group. Her work bridges cyberinfrastructure, data analytics, and water resources management across interdisciplinary domains, including the College of Agriculture, College of Engineering, and School of Computing. She focuses on creating sophisticated, user-friendly software to address complex water management challenges. Her research interests span Machine learning for hydrology and flood prediction Deep learning architectures (e.g., Transformers, recurrent networks) Reinforcement learning applications in irrigation and reservoir management Cyberinfrastructure development for water science Uncertainty quantification in hydrological models Explainable AI for environmental decision-making Recent publications highlight trends in applying cutting-edge ML/DL models (N-BEATS, N-HiTS, Transformers) to soil moisture prediction, flood analytics, and irrigation optimization. Her work integrates physics-informed neural networks, probabilistic frameworks, and multimodal data (e.g., satellite imagery, sensor networks) for scalable water management solutions.

Michael Zinkمشاهده پروفایل

استادیار

• Network Protocols
• Multimedia Distribution
• Wireless Networks
• +۵ مورد دیگر

Michael Zink is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst and an adjunct assistant professor in the Manning College of Information and Computer Sciences (CICS). He is affiliated with the Microwave Remote Sensing Laboratory and has held roles including assistant research professor in computer science. His research focuses on network protocols, multimedia distribution systems, and high-bandwidth data networks, with contributions to the KOMSSYS streaming platform and FPGA-based network architectures. Zink's work spans topics like secure video streaming, LED wall calibration, and federated learning for sustainable UAV operations. He received the Best Paper Award at Multimedia Computing and Networking (2008). Education: PhD from Darmstadt University of Technology. Research Interests: Sensor networks, wireless and wired multimedia distribution, network protocol optimization, video streaming security, and distributed cloud platforms. Recent work includes innovations in hue-preservation for virtual production and carbon-efficient federated learning (CEFL). Technical Contributions: Developed systems for real-time route configuration of entertainment content, scanner noise elimination in film restoration, and profile-based HDR content generation. His team explores network-attached FPGAs in cloud environments and edge-to-cloud workflows for scientific applications. Labs & Teams: Active in the Microwave Remote Sensing Laboratory and collaborates with the Open Cloud Testbed (OCT) for cloud infrastructure research. Engaged in federated cyberinfrastructure projects like the ERN Cryo-EM Pilot.