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Jarek NabrzyskiView profile

Professor

• Quantum Computing
• Blockchain Technology
• Distributed Ledger Technologies
• +4 more

Jarek Nabrzyski is the founding and current director of the Center for Research Computing (CRC) at the University of Notre Dame and a concurrent Professor in the Department of Computer Science and Engineering. He co-directs the Blockchain Research Lab with Ian Taylor and leads the Quantum Computing Lab. His research focuses on distributed ledger technologies, quantum computing, and resource management in distributed, cloud, and exascale systems. He has overseen over 50 national and international research projects developing cyberinfrastructure for science and industry, emphasizing collaboration and team-building in complex projects. Key areas of research include blockchain applications in decentralized systems, quantum algorithm optimization for near-term hardware, and cybersecurity protocols for data integrity. He actively engages in interdisciplinary initiatives like the Center for Social Science Research and has pioneered frameworks for verifiable credentials and reproducible scientific data. His work bridges theoretical advancements with practical industry partnerships. Notable contributions include hybrid cross-chain protocols, quantum Poisson solvers, and frameworks for blockchain trust analytics. His recent publications highlight advancements in AI-driven blockchain stabilization, suspicious transaction detection, and scalable quantum computing solutions. Despite no explicit mentions of awards, his leadership roles and project count underscore significant contributions to computational science and infrastructure. As a mentor, he fosters student engagement in cyberinfrastructure through initiatives like the Cyberinfrastructure Center of Excellence. His labs and collaborations drive innovation in quantum computing, blockchain interoperability, and high-performance computing systems. Current efforts include transparent data tracking for aerospace supply chains and secure scientific data reproducibility.

Yu-Che ChenView profile

Professor

• Public Governance of Artificial Intelligence
• Cyberinfrastructure Governance
• Digital Transformation of Government
• +3 more

Yu-Che Chen is a Professor and Interim Director of the School of Public Administration at the University of Nebraska at Omaha (UNO), holding the Kathleen D. Seline and Isaacson Professorships. He directs the Digital Governance and Analytics Lab, focusing on AI governance, cyberinfrastructure, and collaborative digital governance. With a Ph.D. and MPA from Indiana University-Bloomington and a BS in Chemical Engineering from National Taiwan University, his career spans over two decades in digital government research. His research explores AI’s role in public governance, cybersecurity, and smart cities, supported by $3.5M in NSF grants. He co-edited The Oxford Handbook of AI Governance and published extensively in journals like Government Information Quarterly . As President-Elect of the Digital Government Society and Associate Editor of major journals, he shapes global research agendas. Dr. Chen has received awards including the Isaacson Professorship (2022-2024) and the 2009 Professor of the Year. He advises on NSF grants and collaborates internationally, organizing conferences like the International Digital Government Research Conference. His lab mentors doctoral students and bridges academia with public sector innovation. Teaching focuses on digital governance, policy analysis, and research methods. He emphasizes technology’s ethical implications and digital equity, advising on sustainability topics through his lab’s community engagement initiatives.

Trilce EstradaView profile

Associate Professor

• Machine Learning
• Big Data
• High Performance Computing
• +9 more

Trilce Estrada is an Associate Professor in the Department of Computer Science at the University of New Mexico (UNM), School of Engineering. She leads the Data Science Laboratory and is actively involved in research, teaching, and service. Her work focuses on solving data- and compute-intensive problems in science, health, and education, particularly in resource-constrained environments. Her research interests include: Machine Learning and scalable learning techniques Big Data analytics and distributed systems High Performance Computing and cyberinfrastructure In-situ data analytics for scientific workflows Pervasive healthcare using mobile and distributed systems Although no publication list is provided, her current research projects indicate a strong focus on distributed learning, in-situ analysis for molecular dynamics, cyberinfrastructure optimization, and robust science in high-throughput computing. These projects reflect interdisciplinary collaboration and a commitment to scalable, reproducible, and impactful computing solutions. Dr. Estrada has served in numerous leadership roles in major computing conferences, including as Program Co-Chair for IEEE Cluster 2022, Chair of the Mentor-Protégé Program at SC19, and Chair of the IPDPS PhD Forum and Student Program for multiple years. She has also been active in NSF panels and curriculum development, particularly in integrating Big Data into educational frameworks. She is committed to mentoring and improving diversity in computing, serving as faculty advisor for Women in Computing and CSGSA, and participating in outreach to attract underrepresented groups to computer science. She currently oversees a research group but is not accepting new students due to capacity. Independent study opportunities are available under strict eligibility criteria. Her lab, the Data Science Laboratory, supports interdisciplinary research in data-intensive domains. She is also involved in educational initiatives and curriculum development at UNM and nationally.

Steven SawyerView profile

Professor

• Social Informatics
• Digital Labor Platforms
• Gig Economy
• +3 more

Steven Sawyer is a Professor at Syracuse University and Core Faculty of the Renée Crown Honors Program. His work bridges Information Systems and Social Informatics , focusing on digital labor platforms, gig economy dynamics, and the sociotechnical impacts of information technologies. He has held editorial leadership roles at the Journal of the Association of Information Science and Technology and contributed to major research initiatives funded by the National Science Foundation . DBA in Management Information Systems, Boston University MS in Management Information Systems, Boston University MS in Ocean Engineering, University of Rhode Island BS in Marine Transportation, United States Merchant Marine Academy Research Interests center on digital infrastructures , platform economies , and workplace transformation , with particular attention to: Human-AI collaboration in gig work Gender and racial inequality in digital labor Flexible work models and their societal impacts Ethical design of digital platforms Evolution of professional careers in platform economies Interdisciplinary approaches to information systems Scientific Contributions : Lead editor of the Handbook of Information Technology in Organizations and Electronic Markets Pioneering studies on online freelance worker autonomy and digital platform governance NSF-funded research on infrastructural competence and decentralized collaboration Honors & Service : 2024 Best Paper Award, Academy of Management Chair of Honors Program Planning since 2020 Editor-in-Chief of JASIST since 2021 Member of Syracuse University's Academic Freedom, Tenure, and Professional Ethics Investigative Team Extensive service on editorial boards of Journal of Information Technology , The Information Society , and New Technology, Work, and Employment Teaching includes graduate seminars on Digital Technologies Theories , Information Systems Management , and honors courses on Working in the Digital Economy .

• Structural Health Monitoring
• Structural Control
• Stochastic Fatigue
• +4 more

B. F. Spencer Jr. is the Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering at the University of Illinois at Urbana-Champaign, where he directs the Multi-Axial Full-Scale Sub-Structured Testing & Simulation Facility and the Smart Structures Technology Laboratory. He joined the university in 2002 after serving as Leo E. and Patti Ruth Linbeck Professor of Engineering at the University of Notre Dame (1985-2002). Education includes: Ph.D. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1985) M.S. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1983) B.S. in Mechanical Engineering, University of Missouri-Rolla (1981) His research focuses on pioneering innovations in structural health monitoring, stochastic mechanics, and smart sensor technologies. Key areas include development of wireless sensor networks for real-time infrastructure assessment, seismic hazard mitigation strategies, and AI-driven damage detection systems. His work bridges theoretical computational mechanics with practical civil engineering applications to enhance resilience against natural disasters. Recent publications emphasize digital twins, UAV-based structural inspection, machine learning for damage identification, and advanced sensor networks. Trends show strong integration of AI, 3D visualization, and edge computing for rapid post-disaster evaluation and predictive maintenance of critical infrastructure. Major scientific honors: ASCE Housner Medal (2015) J.M. Ko Medal (2014) Foreign Member of Polish Academy of Sciences (2005) Structural Health Monitoring Person of the Year (2011) JSPS Fellowships (1999, 2000) He leads significant infrastructure projects including NSF-funded facilities and industry collaborations. Laboratory initiatives involve full-scale testing of bridges, gates, and seismic mitigation systems. Educational outreach includes K-12 STEM programs like 'Shakes and Quakes' to inspire future engineers.

Suzanne CarbotteView profile

Research Professor

• Marine Geophysics
• Seismology
• Subduction Zone Processes
• +3 more

Suzanne Carbotte is the Bruce C. Heezen/Lamont Research Professor at Columbia University's Lamont-Doherty Earth Observatory. Her research focuses on marine geophysics, seismology, and subduction zone processes, with a particular emphasis on the Cascadia Subduction Zone, Mid-Ocean Ridges, and volcanic systems like Axial Seamount. She has led expeditions in the Pacific and Atlantic Oceans, including nearshore studies in New York. Education: BSc (University of Toronto), MSc (Queen's University), PhD (University of California Santa Barbara). Key Projects: CASIE21 seismic imaging experiment, cyberinfrastructure development for marine geoscience data. Recent Focus: Structural segmentation of Cascadia's megathrust, subduction zone fluid dynamics, and crustal melt transport at mid-ocean ridges. Her research integrates seismic tomography, wide-angle reflection/transmission data, and multibeam bathymetry to understand tectonic processes. She collaborates on global initiatives like the Global Multi-Resolution Topography synthesis and manages data repositories for the Rolling Deck to Repository (R2R) program. Recent publications highlight advances in imaging subduction zone structures, magma systems at mid-ocean ridges, and improving tsunami hazard models through integrated geophysical observations.

• Hydroinformatics
• Watershed Hydrology
• Surface Water Quality
• +8 more

Jeffery Horsburgh is a Professor in the Department of Civil and Environmental Engineering and the Utah Water Research Laboratory at Utah State University, where he conducts research and teaches in hydroinformatics, GIS, and environmental data systems. He is affiliated with the College of Engineering and actively contributes to advancing cyberinfrastructure for hydrologic science. His educational background includes a PhD (2009), MS (2001), and BS (1999), all in Civil and Environmental Engineering from Utah State University. Horsburgh's research focuses on watershed hydrology, surface water quality, environmental sensor networks, data models, and cyberinfrastructure for environmental observations. He leverages GIS for data analysis and develops modeling techniques for hydrologic and water quality prediction. His work emphasizes open, reproducible science and data interoperability. His recent publications highlight a strong trend in hydroinformatics, with emphasis on open data platforms (e.g., HydroShare), sensor data integration, metadata standards, and reproducible modeling. The articles span topics from edge computing in smart water meters to national-scale hydrologic modeling frameworks. Outstanding Researcher, USU CEE, 2024 Reproducibility Author Award, 2023 Outstanding Teacher, USU CEE, 2019 Early Career Excellence Award, iEMSs, 2014 Outstanding Reviewer Award, Environmental Modelling & Software, 2014 Horsburgh has mentored over a dozen graduate students in civil and environmental engineering, focusing on hydroinformatics and water systems. He leads multiple research projects funded by federal and state agencies, including HydroShare, I-GUIDE, and Logan River Observatory. He is also involved in developing open-source software for environmental data management and has contributed to national standards for hydrologic data sharing. He leads or participates in key research initiatives such as the Logan River Observatory, HydroShare, and the Critical Zone Collaborative Network, emphasizing interdisciplinary collaboration, real-time data integration, and next-generation water infrastructure.

• Quaternary geology
• glacial geology
• paleoclimatology
• +5 more

Jason P. Briner is a Professor in the Department of Geology at the State University of New York at Buffalo, affiliated with the College of Arts and Sciences. His research focuses on Quaternary and glacial geology, paleoclimatology, and arctic environmental change. Education Ph.D. in Geological Sciences, University of Colorado (2003) M.S. in Geology, Utah State University (1998) B.S. in Geological Sciences, University of Washington (1996) Briner studies glacial and lacustrine records to understand ice sheet processes, past climate changes, and glacial landscape evolution using cosmogenic exposure dating and paleolimnologic techniques. His work provides insights into Arctic climate change over Pleistocene and Holocene timescales. His recent research involves developing open-source tools through Ghub for ice sheet modeling, NSF-funded projects on climate change, and fieldwork in Alaska, Greenland, and Norway. He teaches courses including Climate Change, Glacial Geology, and Quaternary Dating Methods. Briner leads the Paleoclimate Lab at UB, mentoring graduate students and conducting fieldwork across glacial regions. He is a member of the Geological Society of America, American Quaternary Association, and American Geophysical Union.

• Watershed Hydrology
• Surface Water Quality
• Hydroinformatics
• +5 more

Jeffrey Horsburgh is a Professor in Civil and Environmental Engineering and a Water Researcher at the Utah Water Research Laboratory (UWRL) at Utah State University. His work focuses on hydroinformatics, environmental sensor networks, and watershed hydrology, integrating data models, cyberinfrastructure, and GIS for water quality and hydrology research. Professor, Utah State University (College of Engineering) Utah Water Research Laboratory Research Interests: Dr. Horsburgh develops technology for environmental observatories, emphasizing high-frequency sensor data, reproducibility, and cyberinfrastructure. His research spans watershed hydrology, surface water quality, human dimensions of water use, and standards-based data sharing through platforms like HydroShare and HydroServer. Notable Awards: 2024 USU Outstanding Researcher 2023 Reproducibility Author Award 2019 Outstanding Teacher 2014 Early Career Excellence Award (International Environmental Modelling & Software Society) Education: Ph.D., MS, and BS in Civil/Environmental Engineering from Utah State University (2009, 2001, 1999).

Wendy R. EisnerView profile

Associate Professor

• Paleoecology
• Paleoclimatology
• Arctic System Science
• +5 more

Wendy R. Eisner is an Associate Professor in the Department of Geography at the University of Cincinnati, with affiliate appointments in the Environmental Studies Program and Department of Women's, Gender, and Sexuality Studies. She has held academic positions at multiple institutions including The Ohio State University, University of Alaska Anchorage, and University of Utrecht. Dr. Eisner serves as Editor of Polar Geography and as Graduate Program Director for the Department of Geography at the University of Cincinnati. Dr. Eisner earned her Doctor of Science in Geography from the University of Utrecht (1999), Doctorandus in Pre and Protohistory from the University of Amsterdam (1984), Kandidaats (M.A.) in Cultural Anthropology from the University of Leiden (1984), and Bachelor of Arts in Anthropology from Barnard College, Columbia University (1975). Her research focuses on Arctic system science, specifically examining paleoecology and paleoclimatology through the lens of both scientific and Indigenous knowledge systems. Dr. Eisner's work integrates traditional Iñupiat knowledge with Western scientific approaches to understand landscape evolution, climate change impacts, and human-environment interactions in the Arctic. Her research spans multiple disciplines including environmental science, geography, anthropology, and gender studies, with particular attention to how indigenous communities perceive and respond to environmental change. Dr. Eisner's recent publication portfolio demonstrates a strong emphasis on integrating Indigenous Knowledge with climate and geomorphic studies in Arctic Alaska, particularly through GIS applications and community-based research approaches. Her work increasingly focuses on documenting environmental, cultural, and social changes as observed by Iñupiat elders over their lifetimes, creating valuable cross-generational knowledge records. Best of Show, Baraga County Fair, Baraga Michigan Adult Embroidery blue ribbon (2010) Dr. Eisner has secured numerous significant research grants, primarily from the National Science Foundation, totaling over $2.5 million as Principal Investigator or Co-PI. Her major projects include "Connecting Indigenous Knowledge to Landscape Process Research" (NSF-BCS-0548846, $249,000), "Advanced End-to-End Cyberinfrastructure Installation" for the Barrow Global Climate Change Research Facility (ARC-0641623, $822,340), and "Changes in Lake Dynamics on the Arctic Coastal Plain" (ARC-0713813, $378,618). She has also served on the U.S. Civilian Research and Development Foundation panel for Geosciences. Dr. Eisner leads research teams focused on the Arctic Coastal Plain of Alaska, working collaboratively with Alaskan Native elders and communities. Her projects often involve interdisciplinary teams of geographers, environmental scientists, anthropologists, and indigenous knowledge holders to document landscape changes and develop integrated knowledge systems for understanding Arctic environmental dynamics.

• Parallel Computing
• High Performance Computing
• Data-Intensive Computing
• +3 more

Geoffrey C. Fox serves as Professor and Director of the Digital Science Center at Indiana University Bloomington's Luddy School of Informatics, Computing, and Engineering, with over 1,200 publications spanning physics and computer science. His career encompasses foundational contributions to parallel computing methodology, algorithms, and data-intensive systems. Educational background includes a PhD in Theoretical Physics from Cambridge University. Fox's research focuses on synergies between high-performance computing and data analysis, pioneering decomposition principles for MIMD hypercubes and message-passing efficiency. He developed innovative systems like Twister (enhanced MapReduce for iterative computations) and SPIDAL (Scalable Parallel and Interoperable Data-intensive Application Library), bridging HPC with data-intensive applications through architectures comparable to Apache Spark and Flink. Major recognitions include: ACM-IEEE CS Ken Kennedy Award (2019) for foundational contributions to parallel computing methodology, algorithms, software, and data analysis interfaces with broad applications ACM Fellow (2011) for contributions to high-performance computing software applications and diversity outreach Fox demonstrates exceptional commitment to community engagement through teaching Java and parallel computing courses to Historically Black Colleges and Universities since 1997, creating a Computerworld-recognized 'Big Data Applications' MOOC, and leadership roles in Open Grid Forum and Java Grande Forum standards development. As principal investigator of the FutureGrid cyberinfrastructure testbed, he enabled novel scientific computing approaches while serving as General Chair for multiple conferences. He directs Indiana University's Digital Science Center and leads the SPIDAL project, which supports diverse data-intensive applications across high-performance computing platforms through interoperable library frameworks.

Sunil K. PrabhakarView profile

Professor

• Database Systems
• Data Management
• Uncertain Data
• +4 more

Sunil K. Prabhakar is a Professor of Computer Science at Purdue University, currently serving as the Vice Provost for Faculty Affairs and former Department Head. He holds a PhD from the University of California, Santa Barbara, and a BTech from the Indian Institute of Technology, Delhi. Education: PhD, Computer Science, University of California, Santa Barbara, 1998 MS, Computer Science, University of California, Santa Barbara, 1998 BTech, Electrical Engineering, Indian Institute of Technology Delhi, 1990 Research Interests: Focuses on database systems, uncertain data management, cloud database integrity, sensor databases, and digital rights management. His work emphasizes developing systems for probabilistic data, ensuring authenticity in outsourced databases, and scalable solutions for multimedia and sensor applications. Grants & Projects: NSF Grant IIS-1017990: Ensuring Integrity of Outsourced Databases NSF Grant IIS-09168724: Uncertain Data Management Students & Advising: Advised over 15 PhD and MS students, including Ryan Rossi (Palo Alto Research Center), Rohit Jain (Google), and Reynold Cheng (University of Hong Kong). Labs & Teams: Involved in projects like the ORION uncertain data management system, the C4E4 environmental cyberinfrastructure initiative, and collaborations with industry (e.g., Naval Surface Warfare Center).

Gabrielle AllenView profile

Professor

• Computational Astrophysics
• Scientific Software
• High-Performance Computing
• +3 more

Gabrielle Allen is Professor and Director of the School of Computing at the University of Wyoming, with joint appointments in Mathematics and Physics. She holds a Ph.D. in Physics from Cardiff University and a Master's from Cambridge. Her research develops community-driven scientific software for computational astrophysics, including the Cactus Framework and Einstein Toolkit for gravitational wave simulations. She pioneers cyberinfrastructure for multi-messenger astronomy and high-performance computing education. Gordon Bell Prize (2001) and IEEE Scalable Computing Award (2009) Fellow of the American Physical Society (2017) $3.8M NSF grant for AI infrastructure in Wyoming (2024) She leads national initiatives in computational science workforce development and serves on advisory boards for Irish and Welsh supercomputing centers.

Micah BeckView profile

Associate Professor

• Computer Networking
• Internet Architecture
• Formal Methods in Computer Science
• +5 more

Micah Beck is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, within the Tickle College of Engineering. His research focuses on foundational challenges in computer networking, internet architecture, and system design principles like minimal sufficiency. He holds a PhD in Computer Science from Cornell University (1992), an MS from Stanford (1980), and a BA from the University of Wisconsin (1979). Education: PhD in Computer Science, Cornell University, 1992 MS in Computer Science, Stanford University, 1980 BA in Mathematics & Computer Science, University of Wisconsin, 1979 Research Interests: Beck critiques traditional internet architecture paradigms, exploring flaws in assumptions like end-to-end arguments and TCP reliability. He advocates for minimal sufficiency principles to enhance deployment scalability. Recent work addresses broadband accessibility, digital monopolies, and exposed buffer architectures for stateful networking. His writing often bridges theoretical rigor with practical system design critiques. Recent Article Themes: His 2025 article Hit the Goalie analyzes formal proof misapplications in engineering systems, while 2024's End-to-End Arguments re-evaluates foundational networking principles. He co-authored Breaking Up Digital Monopolies (2023) proposing regulatory frameworks for data governance. Awards & Grants: No explicit awards listed, but his work has influenced networking discourse through venues like ACM and IEEE. Active in initiatives like Cybercosm and Exposed Buffer Architecture development. Teaching & Advising: Teaches operating systems (COSC 361), computer networks (ECE 453/553), and cloud/edge computing (COSC 494/594). Projects include xv6 kernel modifications and network protocol analysis. No formal advisee roster provided. Labs/Teams: Collaborates on projects like the Wildfire Data Logistics Network and Cybercosm ecosystem. Engages with industry through presentations at conferences like IEEE MASS and ACM workshops.

• Solar Flare Physics
• Magnetic Field Dynamics
• Solar Radio Emission
• +5 more

Roles and Affiliations: Dale Gary is a Distinguished Professor and Director of the Center for Solar-Terrestrial Research at New Jersey Institute of Technology (NJIT). He leads the Expanded Owens Valley Solar Array (EOVSA), a major community facility for solar and space weather research. His work focuses on solar flare physics, radio emission mechanisms, and space weather forecasting. Affiliations: Center for Solar-Terrestrial Research, NJIT Physics Department Research Infrastructure: EOVSA, OVRO-LWA Array, and AtLAST telescope development Education & Career Highlights: Gary has been a leader in solar radio astronomy for over 40 years, with extensive NSF and NASA grants. He was named Fellow of the American Astronomical Society in 2025. Research Interests: His work spans solar flares, magnetic field dynamics, and particle acceleration processes. Key areas include: Radio emission mechanisms (coherent bursts, gyroresonance) CME-driven shock waves and type IV radio bursts Coronal plasma diagnostics via microwave imaging Space weather impacts on Earth's ionosphere Grant & Project Highlights: NSF-funded EOVSA facility upgrades ($2.4M, 2023–2026) NASA studies on solar flare transport processes ($1.5M, 2022–2025) Multi-wavelength microwave imaging projects Awards & Recognition: Fellow of the American Astronomical Society (2025) Over 45 h-index with 8,174 citations Labs & Collaborations: Active in international collaborations including the AtLAST submillimeter telescope project and OVRO-LWA solar monitoring system. Directs NJIT's solar cyberinfrastructure initiatives.