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ORCID21st eScience 2025: Chicago, IL, USA
- IEEE International Conference on eScience, eScience 2025, Chicago, IL, USA, September 15-18, 2025. IEEE 2025, ISBN 979-8-3315-9145-8
- Moontaha Nishat Chowdhury, André Bauer, Minxuan Zhou:
Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption. 1-9 - Thomas Marrinan, Andres Sewell, Victor A. Mateevitsi, Steve Petruzza, Jifu Tan, Dimitrios K. Fytanidis, Michael E. Papka:
Intuitive Computational Steering Using Ascent and Trame. 10-19 - Mahib H. Ornob, Lan Li, Hasan M. Jamil:
Dreaming Up Novel Quantum Dyes using Inverse Machine Learning in MatFlow. 20-29 - Marcus Schwarting, Logan T. Ward, Nathaniel Hudson, Xiaoli Yan, Ben Blaiszik, Santanu Chaudhuri, Eliu A. Huerta, Ian T. Foster:
Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization. 30-38 - Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi, Yogesh Simmhan:
Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids. 39-47 - Andrei Bachinin, Rupasree Dey, Paahuni Khandelwal, Sam Leuthold, M. Francesca Cotrufo, Shrideep Pallickara, Sangmi Lee Pallickara:
Science-Informed Multitask Transformer for Soil Property Prediction from FTIR Spectroscopy. 48-57 - Hamid Omidi, Ludovica Sacco, Valentina Hutter, Gerald Irsiegler, Michele Claus, Martin Schobben, Alexander Jacob, Matthias Schramm, Sandro Fiore:
Towards Provenance-Aware Earth Observation Workflows: the openEO Case Study. 58-66 - Georgios Evangelopoulos, Gholamali Hoshyaripour, Jörg Meyer, Pankaj Kumar, Julia Bruckert, Achim Streit:
Accelerating Weather Forecasting: A Neural Network-Based Emulation of ISORROPIA. 67-75 - Isaac Nealey, Ilkay Altintas:
Modeling Remote Sensing Data Relationships with Spatiotemporal Knowledge Graphs. 76-83 - Gabriel Laboy, Ian Lumsden, Paula Olaya, Jack Marquez, Kin Wai Ng, Rodrigo Vargas, Michela Taufer:
GEOtiled-SG: A Scalable Framework for High-Resolution Terrain Parameter Computation. 84-92 - Florine Willemijn De Geus, Vincenzo Eduardo Padulano, Jakob Blomer, Hannes Mühleisen, Ana Lucia Varbanescu:
EVENTSETPROCESSOR: An Engine for Efficiently Combining High-Energy Physics Data. 93-101 - Raffay Atiq, Ashish Gehani, Tanu Malik, Fareed Zaffar:
SCALPEL: Structured Content Access Logging and Pruning for Efficient Layouts. 102-110 - Maximilian Inckmann, Nicolas Blumenröhr, Rossella Aversa:
Towards Machine-actionable FAIR Digital Objects with a Typing Model that Enables Operations. 111-120 - Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi K. Madduri, Suren Byna:
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning. 121-130 - Krishna Priya, Sachith Withana, Beth Plale:
Patra-RGCN: Missing Link Prediction in Model Card Graphs through Node Property Encodings. 131-140 - Daniela Cassol, Alicia Clum, Jeff Froula, Edward Kirton, Ramani Kothadia, Mario Melara, Elais Player Jackson, Setareh Sarrafan, Seung-Jin Sul, Stephan Trong, Nick Tyler, Tomás Bruna, Leo Baumgart, Kjiersten Fagnan:
Supporting FAIR Scientific Workflows with the JGI Analysis Workflow Service (JAWS). 141-149 - Amena Begum Farha, Abdullah Al-Mamun, Gagan Agrawal, Ahmed Aleroud:
Reinventing CI/CD for Collaborative Sciences: A Blockchain-Integrated Decentralized Middleware for Scalable and Fault-Tolerant Workflows. 150-158 - Lorenz Gruber, Nikolas Herbst, Peter Friedl, Thanh Thi Nguyen, Thomas Esch, Samuel Kounev:
The FISHNET Case Study on Implementing and Scaling a Complex Earth Observation Workflow. 159-168 - Md Saiful Islam, Talha Azaz, Raza Ahmad, S. M. Shahadat Hossain, Furqan Baig, Shaowen Wang, Kevin Lannon, Tanu Malik, Douglas Thain:
Backpacks for Notebooks: Enabling Containerized Notebook Workflows in Distributed Environments. 169-177 - Colin Thomas, Douglas Thain:
Liberating the Data Aware Scheduler to Achieve Locality in Layered Scientific Workflow Systems. 178-186 - Zhiwei Li, Carl Kesselman, Tran Huy Nguyen, Benjamin Yixing Xu, Kyle Bolo, Kimberley Yu:
From Data to Decision: Data-Centric Infrastructure for Reproducible ML in Collaborative eScience. 187-195 - Haotian Xie, Rohan Marwaha, Minu Mathew, Song Bian, Gengcong Yang, Minghao Yan, Yadu Babuji, Owen Price, Yinzhi Wang, Volodymyr V. Kindratenko, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
Diamond: Harnessing GPU Resources for Scientific Deep Learning. 196-204 - Hy Nguyen, Srikanth Thudumu, Hung Du, Rajesh Vasa, Kon Mouzakis:
Optimizing Deep Reinforcement Learning Configurations for Single Object Tracking. 205-212 - Floris-Jan Willemsen, Rob V. van Nieuwpoort, Ben van Werkhoven:
Tuning the Tuner: Introducing Hyperparameter Optimization for Auto-Tuning. 213-222 - Slava Kitaeff, Luc Betbeder-Matibet, Jake Carroll, Stephen Giugni, David Abramson, John Zaitseff, Sarah Walters, David Powell, Chris Bording, Trung Nguyen, Angus Macoustra, Fabien Voisin, Bowen Chen, Jarrod Hurley:
Institutional Research Computing Capabilities in Australia: 2024. 223-231 - Max Morris, Steven R. Brandt, Hartmut Kaiser:
Locks Must Die: Composable Mutual Exclusion Implemented by Dynamic Resource Sharing on Task Graphs. 232-239 - Pedro Valero-Lara, William F. Godoy, Philip W. Fackler, Keita Teranishi, Jeffrey S. Vetter:
Enabling Scientific Applications with Performance-Portability and High-Productivity for Multi-GPU Programming with JACC.Multi. 240-249 - Sandro Gepiro Contaldo, Lorenzo Bosio, Janneth Estefania Hoyos Rea, Elisa Li Perottino, Sergio Rabellino, Marco Aldinucci, Marco Beccuti, Iacopo Colonnelli:
BookedSlurm: meeting user needs for advanced resource reservations in Slurm. 250-259 - Alejandro Valdés-Jiménez, Gabriel Núñez-Vivanco, Daniel Jiménez-González:
Parallel and Distributed Protein Processing for 3D-protein Pattern Discovery and Clustering. 260-268 - Lilin Yu, Rosa Filgueira:
Frances++: LLM-Based Semantic Enrichment and Spatial Graphs for Digitized Historical Collections. 269-277 - Naveen Kumar Reddy Veeramreddy, Ankita Mishra, Navika Maglani, Sameer Shaik, Kelly McCabe, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua, Jamshid Sourati:
Leveraging Hidden Patterns in Open-Ended Community Health Workers' Notes to Improve Prediction of Patient Readmission. 278-286 - Fernanda Cabral, Maria Alexandra Hubbard, Rudhvish Patel, Adeola Badmos, Daniela Raicu, Raj Shah, Roselyne Tchoua:
Novel Perspective on Ensemble Clustering for Persistent Cluster Patterns: A Case Study in Disease Cluster Discovery. 287-295 - Tirtha Tilak Pani, Raj Abhijit Dandekar, Prathamesh Dinesh Joshi, Rajat Dandekar, Sreedath Panat:
A Novel Scientific Machine Learning Method for Epidemiological Modelling. 296-304 - Irene Kahvazadeh, Alvis C. Fong, Steve Carr, Ajay Gupta, Shameek Bhattacharjee, Kuanchin Chen:
Enhancing AI Competency in e-Science with Immersive Learning Experiences. 305-306 - Idunnuoluwa A. Adeniji, Joseph A. Insley, Mengjiao Han, Janet Knowles, Michael E. Papka, Victor A. Mateevitsi, Silvio Rizzi:
Interactive Exploration of HACC Cosmology Data using WebXR. 307-308 - Jingyuan Xu:
Fuzzy Legal Evaluation in Telehealth via Structured Input and BERT-Based Reasoning. 309-310 - Emine Senkardesler, Anna Liljedahl, Elhan Ersoz:
Wainwright Community - Permafrost Thaw Risk Assessment Project. 311-312 - Simone Perrotta, Marco Edoardo Santimaria, Ciro Giuseppe De Vita, Massimo Torquati, Diana Di Luccio, Pasquale Corvino, Antonella Pirozzi, Raffaele Montella:
Directed Acyclic Graph on Cross-Application Programmable I/O: Adding streaming flavour to scientific workflows. 313-314 - Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Dante D. Sánchez-Gallegos, Pasquale Corvino, Mario Di Sarno, Pasquale De Luca, Emanuel Di Nardo, Vincenzo Capozzi, Vincenzo Bucciero, Raffaele Montella:
AI and HPC for intense rain event early warning leveraging real-time weather radar. 315-316 - Vismayak Mohanarajan, Luigi Marini, Kenton McHenry, Sara Kokkila Schumacher, Carlos Costa, Amal Shehan Perera, Anna K. Liljedahl:
Lowering the Barrier: A Science Gateway for Scalable Machine Learning. 317-318 - Ian Lumsden, Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Dewi Yokelson, Stephanie Brink, Olga Pearce, Tom Scogland, Hariharan Devarajan, Bronis R. de Supinski, Gian Luca Delzanno, Michela Taufer:
Performance Optimization of an Exascale Implicit Kinetic Plasma Simulation on El Capitan. 319-320 - Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri:
Cost-Aware Federated Learning on the Cloud. 321-322 - Nafis Tanveer Islam, Ruoyu Wang, Zhiming Zhao:
Using Explainable Techniques to Enhance Chain of Thoughts in LLMs. 323-324 - W. Jay Ashworth, Jack Marquez, Michela Taufer:
Visualizing Temperature Hotspots and Their Impact Using the NEX-GDDP-CMIP6 Dataset. 325-326 - Florine Willemijn de Geus, Stijn Jongbloed, Vincenzo Eduardo Padulano, Ana Lucia Varbanescu:
ROOT's RNTuple and the Case for Custom Scientific Data Formats. 327-328 - Carmine Coppola, Guido Davoli, Federico Fabiano, Ciro Giuseppe De Vita, Diana Di Luccio, Pasquale Corvino, Antonella Pirozzi, Andrea Alessandri, Raffaele Montella:
Preserving and improving the legacy of eScience: the GLOBO experience. 329-330 - Mengjiao Han, Andres Sewell, Joseph A. Insley, Janet Knowles, Victor A. Mateevitsi, Michael E. Papka, Steve Petruzza, Silvio Rizzi:
Toward Distributed 3D Gaussian Splatting for High-Resolution Isosurface Visualization. 331-332 - Ahmed Bello:
Ethical Risk Modeling for Trustworthy ML-Based Cyber Defense. 333-334 - Ginny Fisher, Hung Du, Eliyas Mahammad, Srikanth Thudumu:
Can Better Sampling Fix Biased Cancer Predictions? 335-336 - Rohan Marwaha, Qinren Zhou, Kastan Day, Volodymyr Kindratenko:
AI Model Serving on HPC Infrastructure. 337-338 - Rajan Savani, Anwar Benhnini, André Bauer:
Finding the Sweet Spot: Speed vs. Fidelity in Encrypted LLMs via Proxy Simulation. 339-340 - Samantha Alonso, André Bauer:
EvoAgents: Generative AI for Rapid Architecture Search in Cell Nuclei Detection. 341-342 - Jyotsna Rajaraman, Thomas D. Uram, Kevin M. Boergens, Michael E. Papka:
Synthesis of Ground Truth for Neuronal Segmentation. 343-344 - Edwin Ma, Rachel Gordon, Anna Woodard, Ian T. Foster, Kyle Chard:
Slice-Aware Attention for Quality Control of Breast MRI Segmentations. 345-346 - Ricky Massa, Aaqel Shaik, Brian Ta, Mengjiao Han, Joseph A. Insley, Janet Knowles, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Shilpika:
GENIUS: AI Powered Assistant for Scientific Research. 347-348 - Gaurav Avula, Srikanth Thudumu, Hung Du, Nageswara Rao Pedasingu, Suresh Vayira, Jason Fisher:
Flood Watch: A Multi-Agent System for Smarter Disaster Response. 349-350 - Aaqel Shaik, Ricky Massa, Brian Ta, Mengjiao Han, Joseph A. Insley, Janet Knowles, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Shilpika:
Modular Agentic System for Scientific Visualization in Mixed Reality. 351-352 - Eero Dunham, Mengjiao Han, Victor A. Mateevitsi, Joseph A. Insley, Michael E. Papka, Silvio Rizzi, Janet Knowles:
Toward Dynamic Gaussian Rendering for Digital Twins. 353-354 - Johnny Austin Lomas, Bing Zhang, Sandeep Puthanveetil Satheesan, Matthew Berry, Ying Diao:
Printing Structural Color via AI-Guided Experimentation. 355-356 - Abrar Hossain, Kishwar Ahmed:
Bandwidth Allocation for Heterogeneous HPC Data Ingestion using Dynamic Auctions. 357-358 - Joshua Shargo, Carlos Ortiz, Noriko Tomuro:
Enhancing Dynamic Personalization in Dietitian Agents with RAG and Medical Dialogue Fine-Tuning. 359-360 - Logan Rao, Mary Tsaryk, Anwar Benhnini, Ioan Raicu:
CryptexLLM: How LLM Generalizability Forecasts High Volatility. 361-362 - Ranjitha Shivaprasad Ballakuraya, Arash Mahyari, Ashok Srinivasan, Brent Venable:
Toward Human-Aligned LLM Reviews for Scientific Papers. 363-364 - Pengyin Shan, Adam Cox, Shubham Kumar, Marynia Kolak:
A Human-Centered Intelligent Search Experience: Highlights of the SDOH Data Discovery Platform. 365-366 - Shazzadul Islam, Jaime Cernuda, Isa Muradli, Anthony Kougkas, Xian-He Sun:
Towards an AI-driven scientific workflow. 367-368 - Isa Muradli, Jie Ye, Luke Logan, Anthony Kougkas, Xian-He Sun:
Insights into GPUDirect Data Transfer through NIXL Benchmarking. 369-370 - Sandeep Puthanveetil Satheesan, Pengyin Shan, Ya-Lan Yang, Lijiang Fu, Yong Wook Kim, Henrique Monaco, Yifan Peng, Ryan Batts, Christopher M. Navarro, Jonathan Coppess:
Policy Design Lab: Visualizing and Analyzing U.S. Federal Agricultural, Conservation, and Food Policies. 371-372 - Jan Meizner, Maciej Malawski:
Solutions for Distributed Memory Access Mechanism on HPC Clusters. 373-374 - Janakan Sivaloganathan, Ana Trisovic, Neil Thompson:
Mapping the Impact of Foundation Models on the UN Sustainable Development Goals. 375-376 - Carl Kesselman, Robert Schuler:
It's the Data Stupid. 377-378 - Benedikt Riedel:
Integrating a new Paradigm: Artificial Intelligence in Data-Intensive Applications. 379-380 - Sandra Gesing:
RSEs 2035: Surviving or Thriving in the Age of AI. 381-382 - Pedro Valero-Lara, William F. Godoy, Jose Gonzalez, Alexis Huante, Hallyma Gauthier-Chaparro, Jhonny Gonzalez, Yuguo Kelly Tang, Keita Teranishi, Jeffrey S. Vetter:
LLM-Driven Fortran-to-C/C++ Portability for Parallel Scientific Codes. 385-394 - Isaac Nealey, Nicholas Scherer, Blake Crowther, Jennifer Du, Pitchayarasm Kunghae, Wesley Schiller, Mai Nguyen, Daniel Crawl, Ilkay Altintas:
An Agentic Approach to Generate Conversational Narratives on the Immersive Forest. 395-404 - Jon Stephens, Shruti Sawant, Amarnath Gupta:
Scientific Knowledge Graph Construction Needs an AI-Mediated, Scientist-in-the-Loop Workflow (A Blue Sky Paper). 405-414 - Amal Gueroudji, Tanwi Mallick, Renan Souza, Rafael Ferreira da Silva, Robert B. Ross, Matthieu Dorier, Philip Carns, Kyle Chard, Ian T. Foster:
ControlA: Agentic Workflow Control Mechanisms for Reliable Science. 415-426 - Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori:
FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article. 427-438 - Rosa Filgueira, Lilin Yu, Xingran Ruan, Sypro Nita, Laura Moran, Michael Rovatsos:
ImpactLens: Using AI and Data to Communicate Research Impact Effectively. 439-442 - Ana Trisovic, Jan Range, Philip Durbin, Amber Leahey, Wei Li, Danielle Braun:
Improving FAIR Compliance for High-Dimensional Data via Automated Metadata Extraction. 445-451 - Song Young Oh, Arham Khan, Ian T. Foster, Kyle Chard:
SMURF: Federated Multimodal Retrieval for Scientific Data via Embedding Alignment. 452-459 - Tainã Coleman, Ilkay Altintas:
Toward Agents of Intelligence: Bridging the AI Expertise Gap in Domain Sciences. 460-466 - Renan Souza, Amal Gueroudji, Stephen DeWitt, Daniel Rosendo, Tirthankar Ghosal, Robert B. Ross, Prasanna Balaprakash, Rafael Ferreira da Silva:
PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows. 467-473
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