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Vandana Janeja is an Associate Professor at the Information Systems department at UMBC. She has taught various courses including Advanced data analytics for cybersecurity, Data Mining. Her research is in the area of Big Data Analytics with a focus on data mining and anomaly detection across multiple application areas. She has published in various refereed conferences such as ACM SIGKDD, SIAM Data Mining, IEEE ICDM, National Conference on Digital Government Research, IEEE ISI and journals such as IEEE TKDE, DMKD, KAIS and IDA. She holds a Ph.D. in Information Technology from Rutgers University. She completed her MBA from Rutgers University and MS in Computer Science from New Jersey Institute of Technology. Her research is funded through federal, state and private organizations including NSF, U.S. Army Corps of Engineers, MD State Highway Administration.
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Intelligent Sustainable Systems Lecture Notes in Networks and Systemspp.271-292, (2024)
Technical Symposium on Computer Science Educationpp.1576-1577, (2024)
Technical Symposium on Computer Science Educationpp.576-582, (2024)
Kifekachukwu Nwosu, Chloe Evered, Zahra Khanjani, Noshaba Bhalli, Lavon Davis, Christine Mallinson,Vandana P. Janeja
Proceedings of the AAAI Symposium Seriesno. 1 (2024): 242-244
Proceedings of the AAAI Symposium Seriesno. 1 (2024): 85-88
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.4935-4938, (2023)
Atefeh Jebeli, Bayu Adhi Tama,Vandana P. Janeja,Nicholas Holschuh, Claire Jensen,Mathieu Morlighem,Joseph A. MacGregor,Mark A. Fahnestock
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.56-59, (2023)
INTED proceedings (2023)
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Frontiers in Big Data (2023)
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