Find Academic Supervisors

• Malaria Research
• Parasitology
• Vaccine Development
• +3 more

Mary Galinski is a Professor in the Hubert Department of Global Health at Emory University's School of Medicine. Her research focuses on malaria pathogenesis, vaccine development, and host-parasite interactions using non-human primate models. She has contributed extensively to understanding Plasmodium species biology, particularly Plasmodium vivax and Plasmodium knowlesi, through proteomics, transcriptomics, and systems biology approaches. Her work emphasizes antigenic variation mechanisms, immune response dynamics, and the application of genomic technologies to study malaria lifecycle stages. Notable contributions include defining SICAvar protein roles in cytoadhesion and identifying biomarkers for vaccine development. She collaborates on projects involving drug repurposing and systems biology frameworks to address malaria complexity. Galinski's research integrates metabolomics, transcriptomics, and proteomics data to uncover host-pathogen relationships. Her lab employs cutting-edge methods like single-molecule genome sequencing and Bayesian network modeling to dissect malaria infection dynamics. Recent studies explore microbiome disruptions during malaria and the immunological basis of clinical tolerance in infections. Her publications highlight translational research bridging basic science and public health, with a focus on vivax malaria's unique challenges such as relapsing infections and hypnozoite dormancy. She advocates for non-human primate models as critical tools for studying malaria's systemic effects and vaccine efficacy.

Brad G. PeterView profile

Assistant Professor

• Environmental Remote Sensing
• Sustainable Agriculture
• Geospatial Analytics
• +5 more

Brad G. Peter is an Assistant Professor in the Department of Geosciences at the University of Arkansas, specializing in environmental remote sensing and sustainable agricultural systems . As director of the Environmental GIS & Cartography Lab , his work integrates satellite/sUAS data, Google Earth Engine analytics, and geovisualization to address global challenges in agricultural land suitability, climate-smart crops, and hydrological dynamics. Ph.D. in Geography, Michigan State University B.A. in Geography, University of Texas at Austin Former postdoctoral researcher at University of Alabama FAA Certified Drone Pilot Research Foci: • Global agricultural land suitability mapping using cloud-based geospatial tools • Climate-smart crop scaling in Sub-Saharan Africa and Southeast Asia • Flood mapping and hydrological analysis via sUAS and satellite systems • Ecological niche modeling for sustainable farming systems • Multi-scale precision agriculture for smallholder farms Scientific Awards & Recognitions: Robert C. and Sandra Connor Faculty Fellowship Wally Cordes Teaching Rapport Award ASPRS Robert N. Colwell Memorial Fellow Owen Gregg Climate Change Research Award USGIF Doctoral Scholarship MSU Climate-Food-Energy-Water Research Fellow Research Collaborations & Tools: • Co-PI on WaterServ hydrological cyberinfrastructure • Collaborator in NASA LCLUC-funded Southeast Asia land transition studies • Expert in Google Earth Engine analytics and sUAS data collection • Member of Gamma Theta Upsilon, AAG, ASPRS, and NACIS

• Distributed computing
• Parallel computing
• Cloud computing
• +6 more

Dana Petcu is a Professor at the Computer Science Department of the Faculty of Mathematics and Computer Science at West University of Timisoara. She serves as Director of both the Institute for Advanced Environmental Research and Institute e-Austria Timisoara. With expertise in distributed and parallel computing, she has published over two hundred papers on Cloud, Grid, Cluster, and HPC computing. She is also the chief editor of the open-access journal Scalable Computing: Practice and Experience (SCPE) and has coordinated multiple European Commission-funded projects. Education: Ms. Degree in Computer Science Ph.D. in Numerical Analysis Dana Petcu's research focuses on distributed and parallel computing systems. Her current interests include Cloud & Grid computing, and HPC & Cluster computing. Previously, she worked on Mathematical software, Numerical methods, and Computer graphics. Her work bridges theoretical foundations with practical implementations, particularly in resource management, scheduling algorithms, and scalable computing architectures. She has developed significant expertise in applying these technologies to scientific computing, data-intensive applications, and multi-cloud environments. Her scholarly output demonstrates consistent focus on cloud and distributed computing evolution. Over the past decade, her research has shifted from foundational grid computing to modern cloud technologies, edge computing, and exascale systems. Key themes include resource management across heterogeneous environments, autonomic systems, security SLAs, and multi-cloud portability. Her work shows increasing interdisciplinary connections, particularly with AI/ML techniques applied to resource optimization and anomaly detection in large-scale systems. Scientific Awards: Maria Sibylla Merian-Award (2005) IBM Faculty Award (2009) MLNR Award "Spiru Haret" (2015) Romanian Academy Award "Gheorghe Cartianu" (2015) Dana Petcu has advised numerous graduate students through various master's programs in Distributed and Parallel Computing. She has secured substantial research funding as coordinator of FP7 projects HOST and SPRERS, and as scientific coordinator of mOSAIC. Her grant portfolio includes multiple European Commission-funded initiatives focused on cloud computing infrastructure, resource management, and multi-cloud environments. She has also contributed to EU Research Activities in Cloud Computing as an editor, demonstrating her leadership in shaping European research agendas in this field. She leads the Computer Science Research Center (CCI) and High Performance Computing Service Center (HPC-UVT) at West University of Timisoara. Her teams develop and maintain significant infrastructure for distributed computing research, including simulation environments like CloudSim and iFogSim. She has established strong connections between academic research and practical applications through Institute e-Austria Timisoara, fostering technology transfer and innovation in cloud computing solutions.

George B. Adams IIIView profile

Teaching Professor

• High-Performance Computing
• Nanotechnology
• Computer Architecture
• +3 more

George B. Adams III is a Teaching Professor in the Department of Computer Science at Purdue University, affiliated with the College of Science. He holds a BS in Electrical Engineering from Virginia Tech (1978), and MS and PhD in Electrical Engineering from Purdue (1980, 1984). His career includes roles at NASA Ames Research Center (1983-1987) and a Visiting Lecturer at Stanford University (1986). He has contributed to high-performance computing, nanotechnology education via HUB platforms, and parallel processing research. Research interests span high-performance computing, nanotechnology, computer architecture, and education technology. His work on nanoHUB.org has advanced nanotechnology education and research collaboration globally. He has received multiple accolades, including the College of Science Outstanding Teacher Award (2016-2018), Purdue ACM Faculty Award (2018), and Fellow status in the Purdue Teaching Academy (2019). He advises the student ACM chapter and has been a Favorite Faculty member multiple times. His publications span HUB platforms, parallel computing, and fault-tolerant networks. He has been involved with Discovery Park at Purdue and previously worked in the School of Electrical and Computer Engineering.

• Computer Vision
• High Performance Computing
• Data Science
• +1 more

Kannappan Palaniappan is a Curators' Distinguished Professor in Electrical Engineering and Computer Science at the University of Missouri. His pioneering work spans computer vision, high-performance computing, and biomedical image analysis, with applications from molecular microscopy to satellite remote sensing. Received prestigious honors including NASA Public Service Medal for scientific visualization innovations and National Academies Jefferson Science Fellowship. Research interests include large-scale image analysis, geospatial visualization, biomedical imaging, and parallel computing algorithms. Developed foundational techniques for the Digital Earth visualization system and co-founded NASA's Visualization and Analysis Lab. Publications demonstrate extensive applications across scales from cellular neuroscience to Earth observation. Recent works focus on neural circuit modeling, high-performance computing frameworks, and interdisciplinary applications in neuroscience and geospatial analysis. NASA Public Service Medal National Academies Jefferson Science Fellowship Air Force Summer Faculty Fellowship Boeing Welliver Faculty Fellowship William T. Kemper Teaching Fellowship Secured research funding from NIH, NSF, NASA, and DoD laboratories. Holds patents for moving object detection and camera pose estimation technologies.

Jennifer Miksis-OldsView profile

Research Professor

• Acoustics
• Biological Oceanography
• Animal Behavior
• +3 more

Jennifer Miksis-Olds is a Research Professor at the University of New Hampshire (UNH) and Director of the Center for Ocean Renewable Energy. Her interdisciplinary work bridges acoustics, oceanography, ecology, and engineering to advance remote observation of marine ecosystems. Ph.D. in Oceanography (Chemical & Physical) from the University of Rhode Island M.S. from UMass-Dartmouth B.A. from Harvard University Research focuses on ocean soundscapes, animal behavior, anthropogenic impacts, and technology development. She co-developed the Soundscape Code for multidimensional acoustic analysis and leads initiatives like the Atlantic Deepwater Ecosystem Observatory Network (ADEON). She teaches graduate courses in marine bioacoustics and contributes to JASA, Science, and Marine Mammal Science. Key projects include: Understanding climate change effects on Bering Sea odontocetes Modeling Atlantic Outer Continental Shelf soundscapes Developing the SoundCoop cyberinfrastructure for passive acoustic monitoring Investigating particle motion in marine habitats Her work combines acoustics with environmental DNA and metagenomics to evaluate marine ecosystem connectivity, particularly in the Gulf of Maine.

Ewa DeelmanView profile

Researcher

• Distributed Computing
• Scientific Workflows
• Cloud Computing
• +2 more

Ewa Deelman is a researcher at the University of Southern California's Information Sciences Institute (ISI) and a Principal Investigator for the NSF-funded CI Compass (formerly CI CoE pilot). Her work focuses on distributed computing and scientific workflows, with leadership in the development of the Pegasus software framework for distributed resource mapping. Education Ph.D. in Computer Science, Rensselaer Polytechnic Institute M.Sc. in Computer Science, State University of New York, New Paltz, NY B.A. from Wells College, Aurora, NY Her research spans job scheduling, resource provisioning, and data storage optimization for scientific workflows on computational environments like campus clusters, grids, and clouds. She collaborates with domains including astronomy, bioinformatics, gravitational-wave physics, and molecular dynamics. Key scientific awards include AAAS Fellow (2019), IEEE Fellow (2017), and multiple NSF and CENIC accolades for her work on cyberinfrastructure and data-aware network topologies.

Marian MusteView profile

Adjunct Professor

• Hydraulics
• Sediment Transport
• Environmental Fluid Mechanics
• +2 more

Marian Muste is an Adjunct Professor and Research Engineer in Civil and Environmental Engineering at the University of Iowa, affiliated with IIHR—Hydroscience & Engineering. He holds an MSc from Polytechnic Institute Cluj and a PhD from the University of Iowa. Research Focus: His work spans experimental hydraulics, sediment transport, flood monitoring, and cyberinfrastructure for watershed systems. He contributes to UNESCO and WMO flood-risk projects and develops innovative river-monitoring techniques using advanced sensors and modeling. Publication Trends: Recent articles emphasize river dynamics, hysteresis phenomena, AI-driven water management, and cyberinfrastructure (RIMORPHIS). His research integrates field data, satellite observations, and computational models to advance hydrological prediction and hazard mitigation. No awards listed. He mentors through research collaborations but has no listed PhD students. His work supports infrastructure resilience and environmental monitoring frameworks.

Fangzheng LyuView profile

Assistant Professor

• GIS Computational and Data Science
• Urban Informatics
• CyberGIS & Geospatial Computing
• +7 more

Fangzheng Lyu is an Assistant Professor in the Department of Geography at Virginia Polytechnic Institute and State University (Virginia Tech), affiliated with the College of Natural Resources and Environment. His research focuses on advancing GIScience, geospatial data science, and computational methods to address complex urban and environmental challenges using big data. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2024), an M.S. from the same institution (2021), and a B.E. from the University of Hong Kong (2018). Dr. Lyu's expertise includes geospatial data science, cyberGIS, urban informatics, and geospatial AI. His work spans three core areas: (1) urban dynamics modeling using machine learning and cyberGIS, (2) scalable spatial algorithms for remote sensing and big data analysis, and (3) democratizing access to advanced geospatial cyberinfrastructure. He teaches courses such as Principles of GIS, Geospatial Data Science, and Spatial Data Science at Virginia Tech. His research has been published in leading journals like International Journal of Geographical Information Science , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , and Sustainability . Notable contributions include frameworks for urban heat island prediction, spatiotemporal image fusion models (e.g., Multi-stream STGAN), and methods for analyzing spatial accessibility during public health crises. Dr. Lyu actively contributes to interdisciplinary initiatives, including the Center for Geospatial Information Technology at Virginia Tech. His work emphasizes reproducibility and collaboration, with a focus on bridging geospatial research and education through cyberGIS platforms like CyberGIS-Jupyter. He has received funding for proposals integrating geospatial technologies with urban sensing and epidemiological modeling.

Jay AikatView profile

Research Professor

• Computer Networking
• Data Science Education
• Cloud Computing Security
• +3 more

Jay Aikat is the Vice Dean of the School of Data Science and Society at the University of North Carolina at Chapel Hill since July 2022, and a Research Professor in the Department of Computer Science. She previously served as Chief Operating Officer at RENCI (2016–2022) and held leadership roles in IT at UNC-Chapel Hill’s School of Information and Library Science. Aikat holds a Ph.D. in Computer Science from UNC-Chapel Hill, with earlier degrees in Electrical and Electronics Engineering and Computer Science. Her research focuses on experimental methods in networking, Internet traffic modeling, cloud security, and data science education. Notable contributions include work on airborne network topology management, cloud computing security frameworks, and pedagogical innovations in big data training. She has collaborated with institutions like NIEHS (National Institute of Environmental Health Sciences) and contributed to national-scale research infrastructure projects through GENI and COMBINE initiatives. Her publication trends reflect deep engagement with network experimentation, cybersecurity challenges in cloud environments, and scalable solutions for dynamic wireless systems. Aikat has also authored foundational work on web traffic evolution and protocol benchmarking, emphasizing reproducible methodologies in networking research. Her professional trajectory includes bridging academic research with applied IT leadership, fostering interdisciplinary collaborations across computer science, environmental health, and data science domains. Current efforts focus on expanding data science education and driving innovation through the School of Data Science and Society.

Jean-Paul PinelliView profile

Professor

• Natural Hazards Risk Modeling
• Wind Engineering
• Infrastructure Vulnerability
• +3 more

Professor Jean-Paul Pinelli is a faculty member in the Department of Mechanical and Civil Engineering at Florida Institute of Technology's College of Engineering and Science. His expertise focuses on Natural Hazards Risk Modeling, Wind Engineering, and Infrastructure Vulnerability and Resilience. He contributes to organizations such as the American Society of Civil Engineers and Earthquake Engineering Research Institute. His research emphasizes hurricane impact mitigation, structural vulnerability assessment, and multi-hazard modeling. Recent work includes developing wireless sensor networks for real-time hurricane monitoring and integrating geospatial data for hazard model validation. He has collaborated on projects analyzing wind effects on industrial facilities, mid/high-rise buildings, and coastal residences. Notable contributions include the Florida Public Hurricane Loss Model and DesignSafe cyberinfrastructure for natural hazards research. His research spans environmental monitoring technologies, cost-benefit analyses of mitigation strategies, and post-disaster recovery frameworks. Publications highlight innovative methods for assessing wind-driven rain intrusion, aerodynamic roughness, and structural resilience. While no specific awards or grants are listed, his work underscores interdisciplinary approaches to disaster risk reduction.

Greg JansenView profile

Researcher

• Archival Science
• Data Science
• Machine Learning
• +3 more

Greg Jansen is a Senior Research Software Architect at the University of Maryland's College of Information Studies. He is affiliated with the Applied Research Lab for Intelligence and Security (ARLIS) and the Advanced Information Collaboratory (AIC). His research focuses on applying computer vision, machine learning, and data science to challenges in archival science, digital humanities, and information systems. Notable projects include developing the Brown Dog data transformation ecosystem, enhancing access to historical records, and creating frameworks for collaborative computational archival education. Key research interests include digital curation at scale, autocuration infrastructure, and the ethical use of cultural big data. His work spans government records analysis, census data sifting, and preservation of legacy systems like punchcards. Recent projects emphasize linking disparate datasets (e.g., WWII incarceration biographies) and building scalable cyberinfrastructure for billion-record archives. Publications highlight trends in applying AI-driven methods to historical data challenges, designing open-source tools for repositories, and ensuring equitable access to archival materials. Collaborations include work with the World Bank on social media analytics and international institutions to create transparency portals for sensitive datasets. Jansen leads technical development for initiatives like the 'Window Into Neuroregulation' (WIN) project and has pioneered frameworks for distributed historical data distribution (DRAS-TIC Linked Data). His contributions bridge software architecture with archival practice, advancing both technical and scholarly outcomes in information science.

Katherine HerbertView profile

Professor

• Bioinformatics
• Data Sciences in Scientific Data Sets
• Computer Science Education
• +6 more

Dr. Katherine Herbert is a Professor in the School of Computing at Montclair State University, specializing in bioinformatics, database systems, and data science education. She holds a BS from Saint Peter's College, and MS and PhD from New Jersey Institute of Technology. Her research focuses on data quality, data cleaning, and integration within scientific datasets, with a strong emphasis on bioinformatics and cheminformatics. She leads multiple NSF-funded initiatives including space weather forecasting using machine learning (ANSWERS Project) and interdisciplinary data science training for educators (DATA3 RET Site). Dr. Herbert has secured over $1.2M in grants, collaborating on projects like Cyberinfrastructure-Enabled Machine Learning for Space Weather and Opening Pathways in Chemistry. She has authored 47+ peer-reviewed publications, including work on K-12 computer science integration and solar weather STEM education. Her teaching spans undergraduate and graduate courses in databases, data mining, and interdisciplinary computing. She advises multiple NSF-funded programs targeting STEM equity, including Pathways to STEM Degrees for underrepresented students. Labs/Teams: Active in Montclair's Data Science and Cyberinfrastructure Research Group, leading collaborations with NASA-funded space weather initiatives and regional STEM education networks.

Michael HildrethView profile

Professor

• Particle Physics
• High Energy Physics
• Electroweak Symmetry Breaking
• +4 more

Michael Hildreth is a Professor in the Department of Physics & Astronomy at the University of Notre Dame, serving as Dean of the Graduate School and Associate Provost for Graduate Studies. He leads the CMS Experiment at CERN’s LHC, focusing on Higgs boson properties and new physics beyond the Standard Model. His research includes precision measurements of particle masses and computational infrastructure for high-luminosity LHC data. Education: A.B. in Physics from Princeton University (1988), Ph.D. in Physics from Stanford University (1995). Research interests span particle physics, particularly Electroweak Symmetry Breaking, and interdisciplinary projects like the DASPOS initiative for scientific data preservation and the SCAILFIN project for AI-driven cyberinfrastructure. He co-developed the REANA platform with CERN for reproducible analyses and led the scalable Lobster computing framework. Key awards include the Shilts/Leonard Teaching Award (2014), Thomas P. Madden Award (2010), and Rev. Joyce Award (2008). His leadership spans academic administration, international collaborations, and grant-funded initiatives. He advises the CMS Collaboration on computational challenges and leads multi-university teams in knowledge preservation and AI for scientific workflows. His work bridges particle physics, computer science, and institutional leadership.

Andrei FrolovView profile

Assistant Professor

• Cosmology
• Theoretical Physics
• Gravitation
• +5 more

Andrei Frolov is an Assistant Professor in the Department of Physics at Simon Fraser University, Canada. His research focuses on theoretical cosmology, gravitational physics, and black hole dynamics. He holds a PhD from the University of Alberta and has held postdoctoral positions at Stanford University and the Canadian Institute for Theoretical Astrophysics (CITA). Frolov’s work spans cosmological models of inflation, observational tests of early universe theories, and numerical relativity simulations. He is affiliated with the Cosmology Group at SFU and has contributed to major international projects like the Planck mission, earning awards such as the 2019 Cocconi Prize and Gruber Cosmology Prize. His research group advises PhD and MSc students exploring topics like black hole evaporation, cosmic microwave background (CMB) foregrounds, and gravitational lensing. Education: BSc (Honors) in Physics from Moscow State University and University of Alberta; PhD in Physics from University of Alberta (2000). Research Themes: Early universe physics, modified gravity, numerical relativity, CMB analysis, and astrophysical foreground modeling. Awards: 2019 ESA Planck Mission Contribution Award, 2018 Gruber Cosmology Prize, and Marcel Grossmann Award (2018). Grants & Collaborations: Involved in Simons Observatory and CMB-S4 initiatives, focusing on galactic science and instrumentation. Labs/Teams: Leading the Cosmology Group at SFU, collaborating internationally on CMB analysis and gravitational physics.