Publications

 

iHARP -> Research -> Publications
last updated 2025 April 16

iHARP Publications and accepted research papers.

 

2025

  1. Moritz Kreuzer, Torsten Albrecht, Lena Nicola, Ronja Reese, and Ricarda Winkelmann. 2025. Bathymetry-constrained impact of relative sea-level change on basal melting in Antarctica. The Cryosphere 19, 3 (March 2025), 1181–1203. https://doi.org/10.5194/tc-19-1181-2025
  2. Sudip Chakraborty, Maloy Kumar Devnath, Atefeh Jabeli, Chhaya Kulkarni, Gehan Boteju, Jianwu Wang, and Vandana P. Janeja. 2025. Impact of increased anthropogenic Amazon wildfires on Antarctic Sea ice melt via albedo reduction. Environmental Data Science 4, (2025), e18. https://doi.org/10.1017/eds.2025.1
  3. Mingzhou Yang, Bharat Jayaprakash, Subhankar Ghosh, Hyeonjung Tari Jung, Matthew Eagon, William F. Northrop, and Shashi Shekhar. 2025. Climate smart computing: A perspective. Pervasive and Mobile Computing 108, (March 2025), 102019. https://doi.org/10.1016/j.pmcj.2025.102019
  4. Chhaya Kulkarni, Bayu Adhi Tama, Nicole-Jeanne Schlegel, and Vandana P. Janeja. 2025. Anomaly Detection Using Graph Deviation Networks Within Spatiotemporal Neighborhoods: A Case Study in Greenland. IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing 18, (2025), 1362–1375. https://doi.org/10.1109/JSTARS.2024.3501092
  5. Michael MacFerrin, Edward Boyda, Kimberly Young, Josephine Namayanja, Aneesh Subramanian, Mohamed F. Mokbel, Lujie Karen Chen, and Vandana P. Janeja. 2025. Engaging K-12 Learners in Data Annotation for AI Climate Models. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, February 18, 2025. ACM, Pittsburgh PA USA, 1529–1530. https://doi.org/10.1145/3641555.3705173
  6. Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh Subramanian, and Md Osman Gani (2025). Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. In 2025 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE.
  7. Devon Dunmire, Aneesh C. Subramanian, Emam Hossain, Md Osman Gani, Alison F. Banwell, Hammad Younas, and Brendan Myers. 2025. Greenland Ice Sheet Wide Supraglacial Lake Evolution and Dynamics: Insights From the 2018 and 2019 Melt Seasons. Earth and Space Science 12, 2 (February 2025), e2024EA003793. https://doi.org/10.1029/2024EA003793
  8. Eric W. Wolff, Robert Mulvaney, Mackenzie M. Grieman, Helene M. Hoffmann, Jack Humby, Christoph Nehrbass-Ahles, Rachael H. Rhodes, Isobel F. Rowell, Louise C. Sime, Hubertus Fischer, Thomas F. Stocker, Amaelle Landais, Frédéric Parrenin, Eric J. Steig, Marina Dütsch, and Nicholas R. Golledge. 2025. The Ronne Ice Shelf survived the last interglacial. Nature 638, 8049 (February 2025), 133–137. https://doi.org/10.1038/s41586-024-08394-w
  9. Ward Van Pelt and Thomas Frank. 2025. New glacier thickness and bed topography maps for Svalbard. The Cryosphere 19, 1 (January 2025), 1–17. https://doi.org/10.5194/tc-19-1-2025
  10. M. A. Sarıkaya, A. Candaş, İ. Ege, and K. M. Wilcken. 2025. Geochronology and ice‐flow modelling of the Late Quaternary glaciers on Mt. Soğanlı, Türkiye. J Quaternary Science 40, 1 (January 2025), 71–85. https://doi.org/10.1002/jqs.3660

2024

  1. Nils Bochow, Anna Poltronieri, and Niklas Boers. 2024. Projections of precipitation and temperatures in Greenland and the impact of spatially uniform anomalies on the evolution of the ice sheet. The Cryosphere 18, 12 (December 2024), 5825–5863. https://doi.org/10.5194/tc-18-5825-2024
  2. Attila Çiner, Marc Oliva, Josep Ventura, M. Akif Sarıkaya, Adem Candaş, David Palacios, Onur Altınay, Steven A. Binnie, and Natalia Castaneda. 2024. Late Pleistocene glacial chronology and paleoclimate of the Cadí Massif, SE Pyrenees, Spain: Insights from 36Cl cosmogenic surface exposure dating and glacier modelling. Quaternary Science Reviews 345, (December 2024), 109020. https://doi.org/10.1016/j.quascirev.2024.109020
  3. Francis Ndikum Nji, Rohan Salvi, Sai Sri Ram Kuram Tirumala, Jianwu Wang, and Xue Zheng. 2024. Evaluation of Traditional and Deep Clustering Algorithms for Multivariate Spatiotemporal Data. In IEEE Big Data 2024, 2024. Washington D.C.
  4. Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Janeja Vandana, and Jianwu Wang. 2024. Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. In IEEE Big Data 2024, 2024. arXiv, Washington D.C. https://doi.org/10.48550/ARXIV.2409.12590
  5. Akila Sampath, Omar Faruque, Azim Khan, Vandana Janeja, and Jianwu Wang. 2024. Physics-Informed Machine Learning for Sea Ice Thickness Prediction. In 2024 IEEE International Conference on Knowledge Graph (ICKG), December 11, 2024. IEEE, Abu Dhabi, United Arab Emirates, 325–333. https://doi.org/10.1109/ICKG63256.2024.00048
  6. Rohan Putatunda, Sanjay Purushotham, and Vandana P. Janeja. 2024. SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation. In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE. Miami, Florida
  7. Emam Hossain, Md Osman Gani, Devon Dunmire, Aneesh Subramanian, and Hammad Younas (2024). Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet. In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE.Miami, Florida (https://arxiv.org/abs/2410.05638)
  8. Maloy Kumar Devnath, Sudip Chakraborty, and Vandana P. Janeja. 2024. Deep Learning for Antarctic Sea Ice Anomaly Detection and Prediction: A Two-Module Framework. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection, October 29, 2024. ACM, Atlanta GA USA, 90–93. https://doi.org/10.1145/3681765.3698457
  9. Maloy Kumar Devnath, Sudip Chakraborty, and Vandana P. Janeja. 2024. CMAD: Advancing Understanding of Geospatial Clusters of Anomalous Melt Events in Sea Ice Extent. In The 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’24), October 29-November 1, 2024, Atlanta, GA, USA. ACM, Atlanta, Georgia, USA, https://doi.org/10.1145/3678717.3691280
  10. Chhaya Kulkarni, Nikki Privé, and Vandana P. Janeja. 2024. Interactive Assessment of Variances of High-Resolution Model Features in Digital Twin Simulations. In Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, October 29, 2024. ACM, Atlanta GA USA, 685–688. https://doi.org/10.1145/3678717.3691302
  11. Subhankar Ghosh, Arun Sharma, Jayant Gupta, Aneesh Subramanian, and Shashi Shekhar. 2024. Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results. In Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, October 29, 2024. ACM, Atlanta GA USA, 372–383. https://doi.org/10.1145/3678717.3691304
  12. Subhankar Ghosh, Arun Sharma, Jayant Gupta, and Shashi Shekhar. 2024. Towards Statistically Significant Taxonomy Aware Co-Location Pattern Detection (Short Paper). LIPIcs, Volume 315, COSIT 2024 315, (2024), 25:1-25:11. https://doi.org/10.4230/LIPICS.COSIT.2024.25 *
  13. Josephine Namayanja and Vandana P. Janeja. 2024. A Preliminary Open Science Pipeline to Facilitate AI Reproducibility for Interdisciplinary Communities. Fair in ML, AI Readiness and Reproducibility (FARR) Workshop, October  9 – 10, 2024. Washington, DC, USA. https://www.farr-rcn.org/workshop24
  14. Johannes Feldmann, Anders Levermann, and Ricarda Winkelmann. 2024. Hysteresis of idealized, instability-prone outlet glaciers in response to pinning-point buttressing variation. The Cryosphere 18, 9 (September 2024), 4011–4028. https://doi.org/10.5194/tc-18-4011-2024
  15. Torsten Albrecht, Meike Bagge, and Volker Klemann. 2024. Feedback mechanisms controlling Antarctic glacial-cycle dynamics simulated with a coupled ice sheet–solid Earth model. The Cryosphere 18, 9 (September 2024), 4233–4255. https://doi.org/10.5194/tc-18-4233-2024
  16. Hélène Seroussi, Tyler Pelle, William H. Lipscomb, Ayako Abe‐Ouchi, Torsten Albrecht, Jorge Alvarez‐Solas, Xylar Asay‐Davis, Jean‐Baptiste Barre, Constantijn J. Berends, Jorge Bernales, Javier Blasco, Justine Caillet, David M. Chandler, Violaine Coulon, Richard Cullather, Christophe Dumas, Benjamin K. Galton‐Fenzi, Julius Garbe, Fabien Gillet‐Chaulet, Rupert Gladstone, Heiko Goelzer, Nicholas Golledge, Ralf Greve, G. Hilmar Gudmundsson, Holly Kyeore Han, Trevor R. Hillebrand, Matthew J. Hoffman, Philippe Huybrechts, Nicolas C. Jourdain, Ann Kristin Klose, Petra M. Langebroek, Gunter R. Leguy, Daniel P. Lowry, Pierre Mathiot, Marisa Montoya, Mathieu Morlighem, Sophie Nowicki, Frank Pattyn, Antony J. Payne, Aurélien Quiquet, Ronja Reese, Alexander Robinson, Leopekka Saraste, Erika G. Simon, Sainan Sun, Jake P. Twarog, Luke D. Trusel, Benoit Urruty, Jonas Van Breedam, Roderik S. W. Van De Wal, Yu Wang, Chen Zhao, and Thomas Zwinger. 2024. Evolution of the Antarctic Ice Sheet Over the Next Three Centuries From an ISMIP6 Model Ensemble. Earth’s Future 12, 9 (September 2024), e2024EF004561. https://doi.org/10.1029/2024EF004561
  17. Gong Cheng, Mathieu Morlighem, and Sade Francis. 2024. Forward and Inverse Modeling of Ice Sheet Flow Using Physics‐Informed Neural Networks: Application to Helheim Glacier, Greenland. Journal of Geophysical Research: Machine Learning and Computation 1, 3 (September 2024), e2024JH000169. https://doi.org/10.1029/2024JH000169
  18. Sahara Ali, Omar Faruque, and Jianwu Wang. 2024. Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. In Machine Learning and Knowledge Discovery in Databases. Research Track, Albert Bifet, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi and Indrė Žliobaitė (eds.). Springer Nature Switzerland, Cham, 213–230. https://doi.org/10.1007/978-3-031-70352-2_13
  19. Sahara Ali, Uzma Hasan, Xingyan Li, Omar Faruque, Akila Sampath, Yiyi Huang, Md Osman Gani, and Jianwu Wang. 2024. Causality for Earth Science — A Review on Time-series and Spatiotemporal Causality Methods. https://doi.org/10.48550/arXiv.2404.05746
  20. Aneesh Subramanian, Devon Dunmire, Emam Hossain, Md Osman Gani, Alison Banwell, and Brendan Myers. 2024. The fate of Greenland Ice Sheet supraglacial lakes in a warm and cool year. https://doi.org/10.5194/egusphere-egu24-20925
  21. Gong Cheng, Mathieu Morlighem, and Sade Francis. 2024. A Unified Framework for Forward and Inverse Modeling of Ice Sheet Flow using Physics Informed Neural Networks. https://doi.org/10.5194/egusphere-egu24-2495
  22. Tolulope Ale, Vandana P. Janeja, and Nicole-Jeanne Schlegel. 2024. Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. In IGARSS 2024 – 2024 IEEE International Geoscience and Remote Sensing Symposium, July 07, 2024. IEEE, Athens, Greece, 8692–8696. https://doi.org/10.1109/IGARSS53475.2024.10640794
  23. Bayu Adhi Tama, Vandana Janeja, and Sanjay Purushotham. “Assessing Annotation Accuracy in Ice Sheet Using Quantitative Metrics,” 2024. In 2024 IEEE International Geoscience and Remote Sensing Symposium in Athens, Greece, FRPB.PA.46. [Poster]
  24. Maruthi P. Chellatore and Sharad Sharma. “Mobile Application for Identifying Anomalous Behavior and Conducting Time Series Analysis Using Heterogeneous Data.” In 26th International Conference on Human-Computer Interaction (HCI International 2024), June 29 – July 4, 2024, Washington, DC. HCI International. https://doi.org/10.1007/978-3-031-60458-4_12
  25. Sharad Sharma, Sri Chandra Dronavalli, Maruthi P. Chellatore, and Rishitha Pesaladinne. “Interactive Visualizations for Crime Data Analysis by Mixed Reality.” In 26th International Conference on Human-Computer Interaction (HCI International 2024), June 29 – July 4, 2024, Washington, DC. HCI International. https://doi.org/10.1007/978-3-031-61047-9_19
  26. Bayu Adhi Tama, Sanjay Purushotham, and Vandana Janeja. “A Pilot Study on the Challenges in Ice Layer Annotations,” 2024. In 13th International Conference on Climate Informatics in London, UK. https://doi.org/10.5281/ZENODO.11078788
  27. Saydeh N. Karabatis and Vandana P. Janeja. 2024. Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora. https://doi.org/10.48550/ARXIV.2405.06129
  28. Yuchuan Huang and Mohamed F. Mokbel. 2024. Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness. Proc. VLDB Endow. 17, 9 (May 2024), 2349–2362. https://doi.org/10.14778/3665844.3665862
  29. Ziqi Yin, Adam R Herrington, Rajashree Datta, Aneesh C. Subramanian, Jan Thérèse Maria Lenaerts, and Andrew Gettelman. 2024. Improved Understanding of Multicentury Greenland Ice Sheet Response to Strong Warming in the Coupled CESM2‐CISM2 with Regional Grid Refinement. https://doi.org/10.22541/au.170967825.56554188/v1
  30. Gong Cheng, Mathieu Morlighem, and Sade Francis. 2024. A unified framework for forward and inverse modeling of ice sheet flow using physics-informed neural networks. https://doi.org/10.22541/essoar.170965007.78479393/v1
  31. Devon Dunmire, Nander Wever, Alison F. Banwell, and Jan T. M. Lenaerts. 2024. Antarctic-wide ice-shelf firn emulation reveals robust future firn air depletion signal for the Antarctic Peninsula. Commun Earth Environ 5, 1 (February 2024), 100. https://doi.org/10.1038/s43247-024-01255-4
  32. Sahara Ali, Omar Faruque, Yiyi Huang, Md Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, and Jianwu Wang. “Estimating Causal Effects of Greenland Blocking on Arctic Sea Ice Melt Using Deep Learning Technique,” 2023. In American Meteorological Society’s 23rd Conference on Artificial Intelligence for Environmental Science 2024. Poster at AMS, 668. [Conference Paper/Poster]
  33. Sharad Sharma and Sri Chandra Dronavalli. “Data Analysis and Visualization of Crime Data.” Electronic Imaging 36, no. 1 (January 21, 2024): 364-1-364–66. https://doi.org/10.2352/EI.2024.36.1.VDA-364.

2023

  1. Louis Lapp, Sahara Ali, and Jianwu Wang. 2023. Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting. In 2023 International Conference on Machine Learning and Applications (ICMLA), December 15, 2023. IEEE, Jacksonville, FL, USA, 1753–1758. https://doi.org/10.1109/ICMLA58977.2023.00266
  2. Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, and Jianwu Wang. 2023. Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. In 2023 International Conference on Machine Learning and Applications (ICMLA), December 15, 2023. IEEE, Jacksonville, FL, USA, 689–696. https://doi.org/10.1109/ICMLA58977.2023.00101
  3. Reddy Pesaladinne, Maruthi Prasanna Chellatore, Sri Chandra Dronavalli, and Sharad Sharma. 2023. Situational Awareness and Feature Extraction for Indoor Building Navigation using Mixed Reality. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI), December 13, 2023. IEEE, Las Vegas, NV, USA, 1000–1005. https://doi.org/10.1109/CSCI62032.2023.00166
  4. Sri Chandra Dronavalli, Rishitha Reddy Pesaladinne, and Sharad Sharma. 2023. Crime Data Visualization Using Virtual Reality and Augmented Reality. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI), December 13, 2023. IEEE, Las Vegas, NV, USA, 646–651. https://doi.org/10.1109/CSCI62032.2023.00113
  5. Naomi Tack, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, and Don Engel. 2023. “Initial Development of a WebXR Platform for Ice Penetrating Radar Data, to Improve Our Understanding of Polar Ice Sheets,” December 2023. Poster at the AGU23 meeting, IN43B-0627. [Poster]
  6. Christopher Shuman and Mark A. Fahnestock. “Last of the Big Thwaites Bergs – Iceberg B22A Modulates Fast Ice and Ice Front Stability, as It Departs the Amundsen Sea Embayment (2017-2023),” December 2023. Poster at the AGU23 meeting, C21D-1264. [Poster]
  7. Sudip Chakraborty, Chhaya Kulkarni, Atefeh Jebeli, Jianwu Wang, and Vandana Janeja. “Extreme Slash and Burn Practices over the Amazon Rainforest in 2019 Wreaked Havoc on Sea Ice Extent Over the Antarctic,” December 2023. Poster at the AGU23 meeting, C51D-0975. [Poster]
  8. Atefeh Jebeli, Bayu Adhi Tama, Sanjay Purushotham, and Vandana P. Janeja. 2023. Tracing Englacial Layers in Radargram via Semi-supervised Method: A Preliminary Result. AAAI-SS 2, (2023), 85–88. https://doi.org/10.1609/aaaiss.v2i1.27653 [Symposium Paper]
  9. Nidhin Harilal, Bri-Mathias Hodge, Aneesh Subramanian, and Claire Monteleoni. 2023. STint: Self-supervised Temporal Interpolation for Geospatial Data. (2023). https://doi.org/10.48550/ARXIV.2309.00059
  10. Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, and Jianwu Wang. “Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography.” In 2023 International Conference on Machine Learning and Applications (ICMLA), 659–66. Jacksonville, FL, USA: IEEE, 2023. https://doi.org/10.1109/ICMLA58977.2023.00097. [Conference Paper]
  11. Julius Garbe, Maria Zeitz, Uta Krebs-Kanzow, and Ricarda Winkelmann. 2023. The evolution of future Antarctic surface melt using PISM-dEBM-simple. The Cryosphere 17, 11 (November 2023), 4571–4599. https://doi.org/10.5194/tc-17-4571-2023
  12. Sharad Sharma and Rishitha Reddy Pesaladinne. “Spatial Analysis and Visual Communication of Emergency Information through Augmented Reality.” Journal of Imaging Science and Technology 67, no. 6 (November 1, 2023): 1–9. https://doi.org/10.2352/J.ImagingSci.Technol.2023.67.6.060401.
  13. Emam Hossain, Sahara Ali, Yiyi Huang, Nicole J Shchlegel, Jianwu Wang, Aneesh C. Subramanian, & Md Osman Gani. “Incorporating Causality with Deep Learning in Predicting Short-term and Seasonal Sea Ice”. Abstract in 23rd Conference on Artificial Intelligence for Environmental Science, 104th AMS Annual Meeting, 2024, November 2023. [Abstract]
  14. 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)), 2023. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 3:1-3:18. https://doi.org/10.4230/LIPIcs.GIScience.2023.3
    [Conference Paper]
  15. Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, and Aneesh Subramanian. 2023. Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-Variability-Aware Approach. In I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions, 2023. Purdue University Library Publishing. https://doi.org/10.5703/1288284317665
  16. Andrew Johnson, Andy Aschwanden, Torsten Albrecht, and Regine Hock. 2023. Range of 21st century ice mass changes in the Filchner-Ronne region of Antarctica. J. Glaciol. 69, 277 (October 2023), 1203–1213. https://doi.org/10.1017/jog.2023.10
  17. 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 [Journal]
  18. Uzma Hasan, Emam Hossain, and Md Osman Gani. “A Survey on Causal Discovery Methods for I.I.D. and Time Series Data,” 2023. https://doi.org/10.48550/ARXIV.2303.15027. [Journal]
  19. Sudip Chakraborty, Chhaya Kulkarni, Atefeh Jabeli, Akila Sampath, Gehan Boteju, Jianwu Wang, and Vandana Janeja. 2023. Understanding the Role of 2019 Amazon Wildfires on Antarctic Ice Sheet Melting Using Data Science Approaches. Accepted 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Workshop: Fragile Earth: AI for Climate Sustainability – from Wildfire Disaster Management to Public Health and Beyond, 2023 [Conference/Workshop Paper]
  20. 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 [Conference Paper]
  21. Thomas Frank, Ward J. J. Van Pelt, and Jack Kohler. 2023. Reconciling ice dynamics and bed topography with a versatile and fast ice thickness inversion. The Cryosphere 17, 9 (September 2023), 4021–4045. https://doi.org/10.5194/tc-17-4021-2023
  22. Ronja Reese, Julius Garbe, Emily A. Hill, Benoît Urruty, Kaitlin A. Naughten, Olivier Gagliardini, Gaël Durand, Fabien Gillet-Chaulet, G. Hilmar Gudmundsson, David Chandler, Petra M. Langebroek, and Ricarda Winkelmann. 2023. The stability of present-day Antarctic grounding lines – Part 2: Onset of irreversible retreat of Amundsen Sea glaciers under current climate on centennial timescales cannot be excluded. The Cryosphere 17, 9 (September 2023), 3761–3783. https://doi.org/10.5194/tc-17-3761-2023
  23. 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 [Conference Paper]
  24. Naomi Tack, Bayu Adhi Tama, Atefeh Jebeli, Vandana P. Janeja, Don Engel, and Rebecca Williams. 2023. Metrics for the Quality and Consistency of Ice Layer Annotations. In IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, July 16, 2023, Pasadena, CA, USA. IEEE, Pasadena, CA, USA, 4935–4938. https://doi.org/10.1109/IGARSS52108.2023.10283420 [Symposium Paper]
  25. Chhaya Kulkarni, Vandana Janeja, and Nicole-Jeanne Schlegel. 2023. Multi-Contextual Learning: Analyzing Melt Over the Greenland Ice Sheet. In IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, July 16, 2023, Pasadena, CA, USA. IEEE, Pasadena, CA, USA, 6736–6739. https://doi.org/10.1109/IGARSS52108.2023.10281954 [Symposium Paper]
  26. Naomi Tack, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, and Don Engel. 2023. Development and Initial Testing of XR-Based Fence Diagrams for Polar Science. In IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, July 16, 2023, Pasadena, CA, USA. IEEE, Pasadena, CA, USA, 1541–1544. https://doi.org/10.1109/IGARSS52108.2023.10281776 [Symposium Paper]
  27. Johanna Beckmann and Ricarda Winkelmann. 2023. Effects of extreme melt events on ice flow and sea level rise of the Greenland Ice Sheet. The Cryosphere 17, 7 (July 2023), 3083–3099. https://doi.org/10.5194/tc-17-3083-2023
  28. 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 [Symposium Paper]
  29. 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 [Conference Paper]
  30. 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 [Abstract]
  31. Sharad Sharma and Don Engel. 2023. Mobile augmented reality system for object detection, alert, and safety. ei 35, 12 (January 2023), 218-1-218–5. https://doi.org/10.2352/EI.2023.35.12.ERVR-218

2022

  1. 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 [Conference/Workshop Paper]
  2. 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 [Symposium Paper]
  3. 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] [Conference Paper]
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