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Welcome to the Big Data Analytics Lab (BDAL)

In big data era, many traditional data analytics tasks need scalable solutions and many new opportunities appear. Our lab studies different aspects of big data analytics, including scalable causality analytics, scalable data aggregation and anomaly detection, with current application focuses on climate and manufacturing. We integrate techniques in distributed computing, data mining and machine learning. We work with academic and industry collaborators to achieve multidisciplinary research and social impacts.

Looking for Students!

Our lab is looking for undergraduate, master, Ph.D. and visiting students to work on big data analytics related research through volunteering, independent study, hourly paid position and Research Assistant. Please contact our lab’s director, Dr. Jianwu Wang, if you are interested.

News

  • 2025/4: Congratulations to Dr. Wang for receiving the 2025 Mid-Career Faculty Excellence Award from UMBC!
  • 2025/4: Congratulations to Akila Sampath, our PhD candidate, for receiving the LEAP Summer Momentum Fellowship!
  • 2024/12: Congratulations to Xingyan Li, our PhD student, for receiving the Technuf fellowship from the Information Systems department. The first awardee from the fellowship!
  • 2024/06: Congratulations to, Dr. Sahara Ali, for defending her PhD thesis successfully. Her thesis title: Spatiotemporal Forecasting and Causality Methods for Arctic Amplification. As the 6th graduated PhD student from our lab, Dr. Ali will join the Department of Information Science at the University of North Texas (UNT) as an Assistant Professor this Fall.
  • 2024/05: Dr. Wang was invited to give a research talk at the Spring 2024 Machine Learning Seminar Series, Department of Mathematics and Statistics, UMBC. More at Invited Talks.
  • 2024/04: Dr. Wang was invited to give a research talk at the Spring 2024 Computer Science Seminar Series, Virginia Tech University. More at Invited Talks.
  • 2024/04: Dr. Wang was invited to give a research talk at the Spring 2024 EECS Graduate Seminar Series, University of California, Merced. More at Invited Talks.
  • 2024/05: Two papers accepted by the ECML-PKDD 2024 conference. More at Publications.
  • 2024/05: Congratulations to lab PhD students, Seraj Mostafa and Francis Nji for receiving poster awards at the college’s 2024 Research Day.
  • 2024/01: Dr. Wang was invited to give a research talk at the Visa Research AI Seminar, VISA. More at Invited Talks.
  • 2023/10: Dr. Wang received a new grant from National Science Foundation (NSF) on Big Data REU Site. More at https://bigdatareu.umbc.edu/
  • 2023/09: Dr. Wang was invited to give a research talk at the Fall 2023 Data Science Seminar Series, Texas A&M Institute of Data Science (TAMIDS), Texas A&M University (TAMU). More at Invited Talks.
  • 2023/07: Congratulations to, Dr. Xin Huang, for defending his PhD thesis successfully. His thesis title: Deep Learning based Cloud Retrieval Techniques using Multiple Satellite Remote Sensing Data. As the 5th graduated PhD student from our lab, Dr. Huang will join the Department of Computer and Information Sciences at Towson University as an Assistant Professor this Fall.

Acknowledgement

We acknowledge the research funding from federal agencies, state, university and industry, including: National Science Foundation (NSF), Army Research Lab (ARL), National Aeronautics and Space Administration (NASA), Department of Energy (DOE), Earth Science Information Partners (ESIP), State of Maryland, UMBC, Amazon and Microsoft.