Publications

iHARP Publications and accepted research papers.

2023

  • Ale, Tolulope, and Janeja, Vandana “Multi-domain Anomalous Relationships in Heterogeneous
    Temporal data.” Poster at the AGU23 meeting, IN51B-0415, Advances in Earth and Space
    Science Informatics. Dec. 2023
  • Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, and Vandana P. Janeja. 2023. Discovery of multi-domain spatiotemporal associations. Geoinformatica (October 2023). DOI:https://doi.org/10.1007/s10707-023-00506-4
  • Jebeli, Atefeh, Tama, Bayu Adhi, Purushotham, Sanjay, and Janeja, Vandana “Tracing Englacial Layers in Radargram via Semi-supervised Method: A Preliminary Result” Association for the Advancement of Artificial Intelligence Fall Symposium, September 2023
  • Chakraborty, Sudip, Kulkarni, Chhaya, Jebeli, Atefeh, Sampath, Akila, Boteju, Gehan, Wang, Jianwu, and Janeja, Vandana “Understanding the Role of 2019 Amazon Wildfires on Antarctic Sea Ice Extent Using Data Science Approaches” Fragile Earth Workshop 2023, colocated with ACM SIG KDD 2023, August 2023
  • Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, and Shashi Shekhar. 2023. Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results. In 12th International Conference on Geographic Information Science (GIScience 2023) (Leibniz International Proceedings in Informatics (LIPIcs)), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 3:1-3:18. DOI:https://doi.org/10.4230/LIPIcs.GIScience.2023.3
  • Naomi Tack, Rebecca Williams, Nicholas Holschuh, Sharad Sharma, and Don Engel. 2023. Visualizing the Greenland Ice Sheet in VR using Immersive Fence Diagrams. In Practice and Experience in Advanced Research Computing, ACM, Portland OR USA, 429–432. DOI:https://doi.org/10.1145/3569951.3603635
  • Tack, Naomi, Tama, Bayu Adhi, Jebeli, Atefeh, Janeja, Vandana, Engel, Don, and Williams, Rebecca “Metrics for the quality and consistency of ice layer annotations” IEEE International Geoscience and Remote Sensing Symposium, July 2023
  • Kulkarni, Chhaya, Janeja, Vandana, and Schlegel, Nicole-Jeanne “Multi-contextual learning: Analyzing melt over the Greenland ice sheet.” Poster at the IEEE International Geoscience and Remote Sensing Symposium, July 2023
  • Tack, Naomi, Holschuh, Nicholas, Sharma, Sharad, Williams, Rebecca, and Engel, Don “Development and Initial Testing of XR-based Fence Diagrams for Polar Science.” IEEE International Geoscience and Remote Sensing Symposium, July 2023
  • Atefeh Jebeli, Bayu Adhi Tama, Vandana P Janeja, Nicholas Holschuh, Claire Jensen, Mathieu Morlighem, Joseph A Macgregor, and Mark A Fahnestock. 2023. TSSA: TWO-STEP SEMI-SUPERVISED ANNOTATION FOR RADARGRAMS ON THE GREENLAND ICE SHEET. (2023). DOI:https://doi.org/10.13140/RG.2.2.23219.20007
  • Sharad Sharma. 2023. Mobile Augmented Reality System for Emergency Response. In 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA), IEEE, Orlando, FL, USA, 402–406. DOI:https://doi.org/10.1109/SERA57763.2023.10197820
  • Muhammad Hasan Ferdous, Uzma Hasan, and Md Osman Gani. 2023. eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract). (2023). DOI:https://doi.org/10.48550/ARXIV.2303.02833
  • Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jienne Shchlegel, and Jianwu Wang. 2023. Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. (2023). DOI:https://doi.org/10.48550/ARXIV.2303.07122

2022

  • Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, and Shashi Shekhar. 2022. Towards geographically robust statistically significant regional colocation pattern detection. In Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, ACM, Seattle Washington, 11–20. DOI:https://doi.org/10.1145/3557989.3566158
  • Sahara Ali, Seraj A.M. Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, and Vandana Janeja. 2022. Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. In IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Kuala Lumpur, Malaysia, 4654–4657. DOI:https://doi.org/10.1109/IGARSS46834.2022.9883505
  • Sahara Ali and Jianwu Wang. 2022. MT-IceNet – A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. In 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), IEEE, Vancouver, WA, USA, 1–10. DOI:https://doi.org/10.1109/BDCAT56447.2022.00009 [Best Paper Award]
  • Uzma Hasan and Md Osman Gani. 2022. KCRL: A Prior Knowledge Based Causal Discovery Framework with Reinforcement Learning. In Machine Learning in Health Care. Retrieved from https://api.semanticscholar.org/CorpusID:256943569
  • Xingyan Li, Jian Li, Zachary Williams, Xin Huang, Mark Carroll, and Jianwu Wang. 2022. Enhanced Deep Learning Super-Resolution for Bathymetry Data. In 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), IEEE, Vancouver, WA, USA, 49–57. DOI:https://doi.org/10.1109/BDCAT56447.2022.00014