People
Postdoctoral Researchers:
Xiang Que
Postdoctoral Research Associate
(05/2022 - )
Wenjia Li
Postdoctoral Research Associate
(12/2022 - )
Zhe Wang
Postdoctoral Research Associate
(05/2023 - )
Graduate Students:
- Chenhao Li, PhD student
- Jiyin Zhang, PhD student
- Weilin Chen, PhD student
Undergraduate Students:
- Meghan Nulf, NSF REU intern since Fall 2022
- Contact Dr. Ma if you are interested to be a research intern
Former Members:
- Chengbin Wang, Visiting PhD Student (2016-2017), Now: Assoc. Prof. at CUG, Wuhan
- Olivier Bizimana, Research Assistant for SP17, First Job: System Validation Engineer at Intel
- Tim Sonnen, MURI Undergraduate Intern (2018), First Job: Software Testing Engineer at Chief Architect
- Xin Mou, Collaborating PhD student (2016-2019), First Job: Senior Software Engineer at Lucid
- Dr. Li Sun, Visiting Scholar (2017), Now: Assoc. Prof. at CAGS, Beijing
- Bhuwan Madhikarmi, MSc 2018, First Job: Data Scientist at WSU, Pullman
- Fatemh Almeman, MSc 2018, Enrolled at Cardiff University for PhD study
- Chama Salil Reddy, MSc 2018, First Job: Machine Learning Engineer at Quadgen Wireless Solutions
- Rohit Kumar Yadav, MSc 2019
- Adhar Partap Singh, MSc 2019
- Homaja Marisetty, Teaching Assistant for SP18 and Research Assistant for SU18
- Seema Kamod, Teaching Assistant for F18
- Xiang Que, Visiting Scholar (2018-2019), Now: Assistant Professor at FAFU, China
- Haifeng Lian, Visiting Scholar (2019-2020), Now: Professor at FAFU, China
- Cai Can, Visiting Undergraduate Student (2019-2020), Enrolled as PhD student at CUG, Beijing
- Lamyaa Alharbi, MSc 2020
- Abhinav Adarapuram, MSc 2020
- Samarth Subramanya, MSc 2020
- Bhargav Rao, MSc 2020
- Rongbin Tang, Visiting PhD student (2019-2020)
- Manjunath Mulinti, MSc 2020
- Ronald Crump III, NSF REU Intern 2020
- Tyler Clemens, NSF REU Intern 2020
- Chao Ma, Postdoctoral Research Associate (2019-2021), Now: Full Professor at CDUT, China
- Abdullah Al-Owairdhi, PhD 2020
- Ashrf Althbiti, PhD 2021, Now: Assistant Professor at Taif University, Saudi Arabia
- Raed Alsini, PhD 2021, Now: Assistant Professor at King Abdulaziz University, Saudi Arabia
- Omar Alghushairy, PhD 2021, Now: Assistant Professor at University of Jeddah, Saudi Arabia
- Chunnan Zhang, MSc 2021
- Ashwag Sharea, MSc 2021
- Shrooq Algarni, MSc 2021
- Chris McVickar, NSF REU intern 2021
- Thea Mangum, NSF REU intern in Spring 2023
- Rayan Alshamrani, PhD 2023, now: faculty member at Taif University, Saudi Arabia
- Fatimah Alkomah, PhD 2023, now: faculty member at Princess Norah University, Saudi Arabia
- Amruta Kale, PhD 2023, now: data scientist at Washington State Univerisity
- Sanaz Salati, Postdoctoral Research Associate (2021-2023), Now: Research Scientist at Univeristy of Arizona
- Chao Fan, Postdoctoral Research Associate (2021-2023), Now: Assistant Professor at New Mexico State Univeristy
- Jingyi Huang, Postdoctoral Research Associate (2022-2023), Now: Scientist at a law office in Shanghai
Research
- 2023-2026: Collaborative Research: CyberTraining: Implementation: Medium: CyberTraining of Construction (CyCon) Research Workforce Through an Educational and Community Engagement Platform, funded by National Science Foundation (NSF)
- 2021-2024: EarthCube Capabilities: OpenMindat - Open Access and Interoperable Mineralogy Data to Broaden Community Access and Advance Geoscience Research, funded by National Science Foundation (NSF) Mindat Website
- 2020-2023: GeoWeaver: Building an Open-Source Platform for Enabling Ad Hoc Management, Open Sharing, and Robust Reuse of NASA Earth Data-driven Hybrid AI Workflows, funded by National Aeronautics and Space Administration (NASA)
- 2020-2024: RII Track-2 FEC: Leveraging Big Data to Improve Prediction of Tick-Borne Disease Patterns and Dynamics, funded by National Science Foundation (NSF) Project Website
- 2018-2022: Elements: Software: HDR: A knowledge base of deep time to facilitate automated workflows in studying the co-evolution of the geosphere and biosphere, funded by National Science Foundation (NSF) Project Website
- 2017-2018: Leveraging data science to explore co-relationships between elements and minerals, funded by UI ORED Seed Grant
- 2016-2018: MILES: Managing Idaho's Landscapes for Ecosystem Services, funded by National Science Foundation (NSF) through Idaho EPSCoR
- 2015-2017: DTDI: Deep Time Data Infrastructure, funded by W.M. Keck Foundation
- 2015: Research Data Alliance Adoption Initiatives, funded by National Science Foundation (NSF)
- 2012-2016: DCO-DS: Deep Carbon Observatory – Data Science, funded by Alfred P. Sloan Foundation
Recent Publications
- Kale, A., Nguyen, T., Harris Jr., F.C., Li, C., Zhang, J., Ma, X., 2022. Provenance documentation to enable explainable and trustworthy AI: A literature review. Data Intelligence. In Press. DOI
- Ma, X., 2022. Knowledge graph construction and application in geosciences: A review. Computers & Geosciences, 161, 105082. DOI
- Muscente, A.D., Martindale, R.C., Prabhu, A., Ma, X., Fox, P., Hazen, R.M., Knoll, A.H., 2022. Appearance and disappearance rates of Phanerozoic marine animal paleocommunities. Geology, 50(3), 341-345. DOI
- Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S.M., Wang, J., Lin, C., Cristea, N., Tong, D., Carande, W.H., Ma, X., Rao, Y., Bednar, J.A., Tan, A., Wang, J., Purushotham, S., Gill, T.E., Chastang, J., Howard, D., Holt, B., Gangodagamage, C., Zhao, P., Rivas, P., Chester, Z., Orduz, J., John, A., 2022. A Review of Earth Artificial Intelligence. Computers & Geosciences, 159, 105034. DOI
- He, Z., Zhang, C., Ma, X., Liu, G., 2021. Hexadecimal aggregate approximation representation and classification of time series data. Algorithms, 14(12), 353. DOI
- Brantley, S., Wen, T., Agarwal, D., Catalano, J., Schroeder, P.A., Lehnert, K., Varadharajan, C., Pett-Ridge, J., Engle, M., Castronova, A.M., Hopper, R., Ma, X., Jin, L., McHenry, K., Aronson, E., Shaughnessy, A.R., Derry, L.A., Richardson, J., Bales, J., Pierce, E.M. 2021. A Vision for the Future Low-Temperature Geochemical Data-scape. Computers & Geosciences, 157, 104933. DOI
- Kong, C., Tian, Y., Ma, X., Weng, Z., Zhang, Z., Xu, K., Landslide susceptibility assessment based on different machine learning methods in Zhaoping county of eastern Guangxi. Remote Sensing, 13(18), 3573. DOI
- Cui, Z., Chen, Q., Liu, G., Mariethoz, G., Ma, X., 2021. Hybrid Parallel Framework for Multiple-point Geostatistics on Tianhe-2: A Robust Solution for Large-scale Simulation. Computers & Geosciences, 157, 104923. DOI
- Wang, C., Hazen, R.M., Cheng, Q., Stephenson, M.H., Zhou, C., Fox, P., Shen, S., Oberhansli, R., Hou, Z., Ma, X., Feng, Z., Fan, J., Ma, C., Hu, X., Luo, B., Wang, J., 2021. The Deep-time Digital Earth Program: Data-driven Discovery in the Geosciences. National Science Review, 8(9), nwab027. DOI
- Cui, Z., Chen, Q., Liu, G., Ma, X., Que, X., 2021. Multiple-point geostatistical simulation based on conditional conduction probability. Stochastic Environmental Research and Risk Assessment, 35, 1355–1368. DOI
- Que, X., Ma, C., Ma, X., Chen, Q., 2021. Parallel Computing for Fast Spatiotemporal Weighted Regression. Computers & Geosciences, 150, 104723. DOI
- Alghushairy, O., Alsini, R., Soule, T., Ma, X., 2021. A review of local outlier factor algorithms for outlier detection in big data streams. Big Data and Cognitive Computing, 5(1), 1. DOI
- Que, X., Ma, C., Ma, X., Chen, Q., 2020. A Spatiotemporal Weighted Regression Model (STWR v1.0) for Analyzing Local Non-stationarity in Space and Time. Geoscience Model Development, 13, 6149-6164. DOI
- Alsini, R., Almakrab, A., Ibrahim, A., Ma, X., 2020. Improving the Outlier Detection Method in Concrete Mix Design by Combining Isolation Forest and Local Outlier Factor. Construction and Building Materials, 270, 121396. DOI
- Alshamrani, R., Althbiti, A., Alshamrani, Y., Ma, X., 2020. Model-Driven Decision-Making in Multiple Sclerosis Research: Existing Works and Latest Trends. Patterns, 1(8), 100121. DOI
- He, Z., Long, S., Ma, X., Zhao, H., 2020. A boundary distance-based symbolic aggregate approximation method for time series data. Algorithm. 13(11), 284. DOI
- Ma, X., Ma, C., Wang, C., 2020. A new structure for representing and tracking version information in a deep time knowledge graph. Computers & Geosciences, 145(12), 104620. DOI
- Alowairdhi, A., Ma., X., 2020. Utilizing fuzzy logic for assessing “FAIRness” of a digital resource. The 2020 International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, USA. In press.
- Alghushairy, O., Alsini, R., Ma, X., 2020. An Efficient Local Outlier Factor for Data Stream Processing: A Case Study. The 2020 International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, USA. In press.
- Alsini, R., Alghushairy, O., Ma, X., Soule, T., 2020. A Grid Partition-based Local Outlier Factor by Reachability Distance for Data Stream Processing. The 2020 International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, USA. In press.
- Alghushairy, O., Alsini, R., Ma, X., Soule, T., 2020. Improving the Efficiency of Genetic-based Incremental Local Outlier Factor Algorithm for Network Intrusion Detection. The 4th International Conference on Applied Cognitive Computing. Las Vegas, NV, USA. In press.
- Alsini, R., Alghushairy, O., Ma, X., Soule, T., 2020. A Grid Partition-based Local Outlier Factor for Data Stream Processing. The 4th International Conference on Applied Cognitive Computing. Las Vegas, NV, USA. In press.
- Alghushairy, O., Alsini, R., Ma, X., Soule, T., 2020. A Genetic-Based Incremental Local Outlier Factor Algorithm for Efficient Data Stream Processing. Proceedings of the ICCDA 2020 Conference, San Jose, CA. pp. 38-49. DOI
- Chen, Q., Liu, G., Ma, X., Li, X., He Z., 2020. 3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: a case study in Minjiang Estuary area, Southeast China. Computers & Geosciences. 136, 104404. DOI
- Althbiti, A., Ma, X., 2019. Collaborative Filtering. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
- Alowairdhi, A., Ma, X., 2019. Data Brokers and Data Services. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
- Alghushairy, O., Ma, X., 2019. Data Storage. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
- Alsini, R., Ma, X., 2019. Data Streaming. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
- Alshamrani, R., Ma, X., 2019. Deep Learning. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
- Wang, C., Ma, X., 2019. Text Mining to Facilitate Domain Knowledge Discovery. In: Mouatasim, A.E., (ed.) Text Mining - Analysis, Programming and Application. IntechOpen, London. In Press. (Open Access) DOI
- He, Z., Liu, G., Ma, X., Chen, C., 2019. GeoBeam: A Distributed Computing Framework for Spatial Data. Computers & Geosciences. 131(10), 15-22. DOI
- Zeng, Y., Su, Z., Barmpadimos, I., Perrels, A., Poli, P., Boersma, K.f., Frey, A., Ma, X., de Bruin, K., Gossen, H., Timmermans, W., 2019. Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables. Remote Sensing. 11(10), 1186. (Open Access) DOI
- Chen, Q., Liu, G., Ma, X., Zhang, J., Zhang, X., 2019. Conditional multiple-point geostatistical simulation for unevenly distributed sample data. Stochastic Environmental Research and Risk Assessment. 33, 973-987. DOI
- Hazen, R.M., Downs, R.T., Eleish, A., Fox, P., Gagne, O., Golden, J.J., Grew, E.S., Hummer, D.R., Hystad, G., Krivovichev, S.V., Li, C., Liu, C., Ma, X., Morrison, S.M., Pan, F., Pires, A.J., Prabhu, A., Ralph, J., Rumyon, S.E., Zhong, H., 2019. Data-driven discovery in mineralogy: Recent advances in data resources, analysis, and visualization. Engineering. 5(3), 397-405. DOI
- Ma, X., 2019. Geo-Data Science: Leveraging Geoscience Research with Geoinformatics, Semantics and Open Data. Acta Geologica Sinica (English Edition), 93(s1), 44-47. (Open Access) DOI
- Morrison, S.M., Prabhu, A., Eleish, A., Pan, F., Zhong, H., Huang, F., Fox, P., Ma, X., Ralph, J., Golden, J.J., Downs, R., Liu, C., Runyon, S.E., Hazen, R.M., 2019. Application of Advanced Analytics and Visualization in Mineral Systems. Acta Geologica Sinica (English Edition), 93(s1), 55-55. (Open Access) DOI
- Chen, Q., Mariethoz, G., Liu, G., Comunian, A., Ma, X., 2018. Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross-sections. Hydrology and Earth System Sciences, 22, 6547-6566. DOI
- Chen, Q., Liu, G., Ma, X., Yao, Z., Tian, Y., 2018. A virtual globe-based integration and visualization framework for aboveground and underground 3D spatial objects. Earth Science Informatics, 11 (4), 591-603. DOI
- Ma, X., Fu, L., West, P., Fox, P., 2018. Ontology Usability Scale: Context-aware metrics for the effectiveness, efficiency and satisfaction of ontology uses. Data Science Journal, 17, 10. (Open Access) DOI
- He, Z., Ma, X., 2018. A distributed indexing method for timeline similarity query, Algorithms, 11 (4), 41. (Open Access) DOI
- Wang, C., Ma, X., Chen, J., 2018. Ontology-driven data integration and visualization for exploring regional geologic time and paleontological information, Computers & Geosciences, 115, 12-19. (Open Access) DOI
- Wang, C., Ma, X., Chen, J., 2018. The application of data pre-processing technology in the geoscience big data. Acta Petrologica Sinica, 34 (2), 303-313. (In Chinese with English Abstract)
- Chen, Q., Liu, G., Ma, X., Mariethoz, G., He, Z., Tian, Y., Weng, Z., 2018. Local curvature entropy-based 3D terrain representation using a comprehensive Quadtree. ISPRS Journal of Photogrammetry and Remote Sensing, 139, 30-45. DOI
- Wang, C., Ma, X., Chen, J., Chen, J., 2018. Information extraction and knowledge graph construction from geoscience literature. Computers & Geosciences, 112, 112-120. DOI
- Ma, X., Hummer, D., Golden, J.J., Fox, P.A., Hazen, R.M., Morrison, S.M., Downs, R.T., Madhikarmi, B.L., Wang, C., Meyer, M.B., 2017. Using Visual Exploratory Data Analysis to Facilitate Collaboration and Hypothesis Generation in Cross-Disciplinary Research. International Journal of Geo-Information 6 (11), 368. (Open Access) DOI
- Ma, X., 2019. Data-Information-Knowledge-Action Model. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
- Ma, X., 2019. Data Repository. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
- Ma, X., 2019. Metadata. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
- Ma, X., 2019. Spatial Data. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
- Ma, X., 2019. Visualization. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
- Ma, X., 2017. Linked Geoscience Data in practice: where W3C standards meet domain knowledge, data visualization and OGC standards. Earth Science Informatics, 10(4), 429-441. DOI
- Chen, Q., Liu, G., Ma, X., Li, X., He, Z., 2017. Fractal generator for efficient production of random planar patterns and symbols in digital mapping. Computers & Geosciences, 105, 91-102. DOI
- Ma, X., West, P., Zednik, S., Erickson, J., Eleish, A., Chen, Y., Wang, H., Zhong, H., Fox, P., 2017. Weaving a knowledge network for Deep Carbon Science. Frontiers in Earth Science, 5, 36. (Open Access) DOI
- Mou, X., Jamil, H., Ma, X., 2017. VisFlow: A visual database integration and workflow querying system. Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE 2017). San Diego, CA, USA. 2pp. [Finalist of Demo Paper Track]
- Ma, X., Beaulieu, S.E., Fu, L., Fox, P., Di Stefano, M., West, P., 2017. Documenting Provenance for Reproducible Marine Ecosystem Assessment in Open Science. In: Diviacoo, P., Glaves, H.M., Leadbetter, A. (eds.) Oceanographic and Marine Cross-Domain Data Management for Sustainable Development. IGI Global, Hershey, PA, USA. pp.100-126. DOI
- Ma, X., Erickson, J.S., Zednik, S., West, P., Fox, P., 2016. Semantic specification of data types for a world of Open Data. ISPRS International Journal of Geo-Information 5 (3), 38. (Open Access) DOI
- Ma, X., Chen, Y., Wang, H., Zheng J.G., Fu, L., West, P., Erickson, J.S., Fox, P., 2015. Data visualization in the Semantic Web. In: Narock, T., Fox, P., (eds.) The Semantic Web in Earth and Space Science: Current Status and Future Directions. IOS Press, Berlin. pp. 149-167. DOI
- Zheng, J., Fu, L., Ma, X., Fox, P., 2015. SEM+: tool for discovering concept mapping in Earth science related domain. Earth Science Informatics 8 (1), 95-102. DOI
- Ma, X., Fox, P., Narock, T., Wilson, B., 2015. Semantic e-Science. Earth Science Informatics 8 (1), 1-3. DOI
- Ma, X., 2015. Geoinformatics in the Semantic Web. In: Schaeben, H., Delgado, R.T., van den Boogaart, K.G., van den Boogaart, R. (eds.) Proceedings of IAMG 2015, Freiberg, Germany, pp 18-26. [Andrei B. Vistelius Award Invited Article]
- Wang, H., Zheng, J.G., Ma, X., Fox P., Ji, H., 2015. Language and Domain Independent Entity Linking with Quantified Collective Validation. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP2015). 10 pp. [Best Paper Nomination]
- Ma, X., Zheng, J.G., Goldstein, J., Zednik, S., Fu, L., Duggan, B., Aulenbach, S., West, P., Tilmes, C., Fox, P., 2014. Ontology engineering in provenance enablement for the National Climate Assessment. Environmental Modelling & Software 61, 191-205. DOI
- Ma, X., Fox, P., Tilmes, C., Jacobs, K., Waple, A., 2014. Capturing and presenting provenance of global change information. Nature Climate Change 4 (6), 409-413. DOI
- Ma, X., Fox, P., 2014. A jigsaw puzzle layer cake of spatial data. EOS, Transactions American Geophysical Union 95 (19), 161–161. DOI
- Ma, X., Fox, P., Rozell, E., West, P., Zednik, S., 2014. Ontology dynamics in a data life cycle: challenges and recommendations from a geoscience perspective. Journal of Earth Science 25 (2), 407–412. DOI
Contact
Prof. Xiaogang Ma can be reached at:
Office: Janssen Engineering Building, Room 230
Tel: +1 208-885-1547
Email: max@uidaho.edu
Mailing address:
Department of Computer Science
University of Idaho
875 Perimeter Drive MS 1010
Moscow, ID 83844-1010, USA