Dr. Bayu Adhi Tama

Non-Tenure Track

He/Him/His/Himself

About

Bayu Adhi Tama earned a Ph.D. degree from Pukyong National University, Republic of Korea in 2018. He is currently a research scientist at the NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions (iHARP), University of Maryland, Baltimore County (UMBC), USA. He previously worked as a senior research fellow at the Data Science Group, Institute for Basic Science (IBS), a postdoctoral researcher at Pohang University of Science and Technology and Ulsan National Institute of Science and Technology, Republic of Korea, in 2022, 2020, and 2018, respectively.

Research interests

data-driven computational approaches for healthcare, manufacturing, cybersecurity, computational social science, and data-driven discoveries in polar regions.

Teaching interests

database systems, applied data mining, machine learning

Education

  • Ph D, Information systems — Pukyong National University (2018)
    Classifier ensembles for predictive data analytics
  • MS, Information Technology — University of Indonesia (2008)
    Analysis of Cross-selling product determination in the context of analytical CRM based on association rules
  • BS, Electrical Engineering — Sriwijaya University (2004)

Publications

  • Scalable Deep Learning for Greenland Ice Bed Topography Prediction 2025 2025 IEEE International Conference on Big Data (BigData) Homayra Alam, Bayu Adhi Tama, Sikan Li, Mostafa Cham, Omar Faruque, Jianwu Wang
  • XCheck: A Consistency-Based Validation Framework for Englacial Layers Annotations 2025 2025 IEEE International Conference on Data Mining Workshops (ICDMW) Muhammad Behroze Hassan, Bayu Adhi Tama, Sanjay Purushotham, Vandana Janeja
  • DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets 2025 ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2025) · pp. 943 - 954 Bayu Adhi Tama, Mansa Krishna, Homayra Alam, Mostafa Cham, Omar Faruque, Gong Cheng, Jianwu Wang, Mathieu Morlighem, Vandana Janeja

Grants and Contracts

  • Mapping Deep Ocean Steric Variablity Using Deep Argo and Machine Learning NSF · Grant · In-Progress Ratnaksha Lele (Principal), Bayu Adhi Tama (Co-Principal)

Research in Progress

  • A Benchmark Dataset and Algorithm Evaluation for Supraglacial Lake Detection on the Greenland Ice Sheet 2025 Scholarly · Writing Results Mike MacFerrin, Bayu Adhi Tama, Josephine M Namayanja, Sai Vikas Amaraneni, Emam Hossain, Maloy Kumar Devnath, Mohamed Mokbel, Aneesh Subramanian, Vandana Janeja

Courses Taught

  • Intro To Database Design IS 410 · Spring 2024