Timetable

Co-located Event Tutorial Workshop Main Conference
08:00
08:30
09:00 NSDF: National Science Data Fabric Bi-annual meeting Miller Town Hall How FAIR is your software? An introduction to FAIR software and hands-on tutorial Zion Bank Classroom Second Workshop on Reproducible Workflows, Data, and Security (ReWorDS 2022) Ivory Ballroom
09:30
10:00 BREAK
10:30 NSDF: National Science Data Fabric Bi-annual meeting Miller Town Hall How FAIR is your software? An introduction to FAIR software and hands-on tutorial Zion Bank Classroom Second Workshop on Reproducible Workflows, Data, and Security (ReWorDS 2022) Ivory Ballroom
11:00
11:30
12:00 LUNCH
12:30
13:00
13:30 Welcome Miller Town Hall
13:45 Keynote: Large (Hadron Collider) and Big (Data Science) Federica Legger (National Institute for Nuclear Physics), Miller Town Hall
14:00
14:30
14:45 Industry Keynote: The Red Queen's Race: Software Development Down the Rabbit Hole Tim Mattson (Intel), Miller Town Hall
15:00
15:30 BREAK
16:00 Panel: Open Data and the Democratization of Science David Abramson, Ilkay Altintas, Drew Mingl, Federica Legger, Valerio Pascucci, Miller Town Hall
16:30
17:00 Posters short talks (2-min short talks) Miller Town Hall
17:50 Poster reception Ivory Ballroom
18:00
18:30
19:00


Posters

Session Chairs: Tanu Malik (DePaul U); Dan Katz (UIUC)

  • A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets
    Patel, Keller Rorabaugh, Olaya, Caino-Lores, Channing, Schuman, Miyashita, Tama, Taufer
  • Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport
    Simpson, Nik Aznan, Brennan, Watson, James, Jonczyk
  • Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment
    Li, Farshidi, Bianchi, Koulouzis, Zhao
  • Upscaling of Cosmological N-body Simulations
    Conceição, Krone-Martins, da Silva
  • Examining the Effect of Implementation Factors on Deep Learning Reproducibility
    Coakley, Kirkpatrick, Gundersen
  • Toward Scientific Workflows in a Serverless World
    Khochare, Simmhan, Mehta, Agarwal
  • AIQUAM, Artificial Intelligence-based water QUAlity Model: assessing and predicting farmed mussels quality in the Bay of Naples (Italy)
    De Vita, Mellone, Di Luccio, Kosta, Ciaramella, Montella
  • Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance
    Kennedy, Olaya, Lofstead, Vargas, Taufer
  • The Materials Commons Data Repository
    Tarcea, Puchala, Scorzelli, Pascucci, Taufer, Allison
  • Neural Network Bias in Analysis of Galaxy Photometry Data
    Goddard, Shamir
  • Using Geoweaver to Make Snow Mapping Workflow FAIR
    Alnaim (Alnuaim), Sun
  • Robust Meta-Workflow Management with Mufasa
    Lyons, Thain
  • Robustness of Sample and Multiscale Entropy Estimators in Noisy and Incomplete Time Series
    Perkey, Krone-Martins
  • Application of Edge-to-Cloud Methods Toward Deep Learning
    Choudhary, Nersisyan, Lin, Chandrasekaran, Mayani, Pottier, Murillo, Virdone, Kee, Deelman
  • Representing Fourier Bases for cryo-EM in ASPIRE
    Langfield, Carmichael, Wright, Andén, Singer
  • Enabling LivePublication
    Ellerm, Adams, Gahegan, Trombach
  • Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows
    Yeom, Ahn, Lumsden, Luettgau, Caino-Lores, Taufer
  • Cluster Analysis of Open Research Data and a Case for Replication Metadata
    Trisovic
  • Anguix: Cell Signalling Modelling Improvement through Sabio-RK association to Reactome
    Montoni, N. de Sousa, B. de Lima Junior, G.S. Campos, Wang, M. Constantino, S. Sanctos, A. Armelin, S. Reis
  • An open science exploration of global 1-km simulations of the earth’s atmosphere
    Anantharaj, Hatfield, Polichtchouk, Wedi, Dueben, Papatheodore
  • A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns
    Nealey, Encinas Pacheco, Gomez Moreno, Floca, Crawl, Altintas
  • PiMS: A Pre-ML Labelling Tool
    Logothetis, Barnett, Hoon, Thudumu, Mathew, Luckhoff, O’Reilly, Vasa, Mouzakis, Fitzgerald
  • Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures
    Baughman, Foster, Chard
  • A Framework for Evaluating MRC Approaches with Unanswerable Questions
    Du, Thudumu, Singh, Barnett, Logothetis, Vasa, Mouzakis
Co-located Event Tutorial Workshop Main Conference
08:00
08:30
09:00 Keynote: Translational Computer Science as a Paradigm Underpinning eScience David Abramson (University of Queensland), Miller Town Hall
09:30
10:00 BREAK
10:30 Session 1: Best Paper and Best Student Paper Candidates Miller Town Hall
11:00
11:30
12:00 LUNCH
12:30
13:00
13:30 Short Talks Miller Town Hall Session 2: Data and Healthcare Zion Bank Classroom Session 3: Image Analytics Ivory Ballroom
14:00
14:30
15:00 BREAK
15:30 Session 4: Environmental Challenges Miller Town Hall Session 5: FAIR Data Zion Bank Classroom Session 6: Knowledge in the Data Ivory Ballroom
16:00
16:30
17:00
17:30
18:00 Banquet, Awards, eScience 2023 revealed University Guest House, 110 South Fort Douglas Blvd.
18:30
19:00
19:30
20:00
20:30
21:00

Session 1: Best Paper (BP) and Best Student Paper (BSP) Candidates

Session Chair: David Abramson (U. of Queensland)

  • Reproducible Notebook Containers using Application Virtualization (BP/BSP)
    Ahmad, Manne, Malik
  • FLoX: Federated Learning with FaaS at the Edge (BP/BSP)
    Kotsehub, Baughman, Chard, Patros, Rana, Foster, Chard
  • Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns (BP/BSP)
    Olaya, Caino-Lores, Lama, Patel, Rorabaugh, Miyashita, Tama, Taufer
  • Scalable Composition and Analysis Techniques for Massive Scientific Workflows (BP)
    Ahn, Zhang, Mast, Herbein, Di Natale, Kirshner, Ade Jacobs, Karlin, Milroy, De Supinski, Van Essen, Allen, Lightstone

Short Talks

Session Chair: Kyle Chard (U. Chicago)

  • Advancing Airborne Hyperspectral Data Processing for Sustainable Agriculture Using Parsl
    Friedel, Guan, Zhou, Zhang, Wang, Katz
  • Crystal Structure Generation Using Wasserstein Generative Adversarial Network
    Gholami Shiri, Sparks
  • Question answering systems for healthcare
    Kell, Marshall
  • High-Throughput In-Situ Workflows for Ensemble Molecular Dynamics
    Caino-Lores, Cuendet, Estrada, Deelman, Weinstein, Taufer
  • Toward a Lightweight Indexing Service for the National Science Data Fabric
    Luettgau, Scorzelli, Zhou, Tarcea, Lofstead, Pascucci, Taufer
  • A software framework for scientific workflow orchestration at large scale
    Zhou, Luettgau, Kancharla, Kane, Croom, Wheeler, Newell, Scorzelli, Pascucci, Taufer
  • Toward Reusable Science with Readable Code and Reproducibility
    Bahaidarah, Hung, Francisco De Melo Oliveira, Penumaka, Rosario, Trisovic
  • Unlocking Analysis Ready Cloud Optimized (ARCO) file format in the OpenVisus framework
    Koppe, Scorzelli, Pascucci

Session 2: Data and Healthcare

Session Chair: Roselyne Barreto Tchoua (DePaul University)

  • Using Microservices to Design Patient-facing Research Software
    Chapman, G-Medhin, Sassoon, Kokciyan, Sklar, Curcin
  • The e-Science Central Study Data Platform
    Watson, Hiden
  • Infection Transmission Ontology: Standardization of Infection Transmission Data
    Slavco, de Vos, Hostens, Top, Fischer
  • Multi-Tissue Analysis Using Synchrotron Radiation Micro-CT Images
    Sieverts, Parkinson, Sborov, Pomicter, Williams, Acevedo

Session 3: Image Analytics

Session Chair: Tamás Budavári (Johns Hopkins University)

  • Remote Instrumentation Science Environment for Intelligent Image Analytics
    Lemus Alarcon, Wang, Nguyen, Pandey, Bunyak, Maschmann, Palaniappan, Calyam
  • Efficient Radio Interferometric Imaging on the GPU
    Liu, Luo, Wang
  • NeuroCI: Continuous Integration of Neuroimaging Results Across Software Pipelines and Datasets
    Sanz-Robinson, Jahanpour, Phillips, Glatard, Poline
  • CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence
    Khandelwal, Armstrong, Matin, Pallickara, Pallickara

Session 4: Environmental Challenges

Session Chair: José Moreira (Universidade de Aveiro)

  • Efficient Cloud-Based Calibration of Input Data for Forest Fire Spread Prediction
    Fraga, Cortés, Margalef, Hernández
  • Towards Optimal Line of Sight Coverage
    Gu, Budavari, Galante, Burns
  • UAV Swarms in Smart Agriculture: Experiences and Opportunities
    Qu, Boubin, Gafurov, Zhou, Aloysius, Nguyen, Calyam
  • Automating Multivariable Workflow Composition for Model-to-Model Integration
    Vargas Acosta, Garnica Chavira, Villanueva-Rosales, Pennington
  • Finding the Signal: Near Real-time Data Analysis for Urban Traffic Monitoring on a Distributed Bluetooth Sensor Network
    Sichani, Richard, Bubendorfer

Session 5: FAIR Data

Session Chair: Juliane Schneider (GO FAIR US)

  • SIM-SITU : A Framework for the Faithful Simulation of in situ Processing
    Honoré, Do, Pottier, Ferreira da Silva, Deelman, Suter
  • Democratising large scale instrument-based science through e-Infrastructure
    Abramson, Barkauskas, Carroll, Condon, Modhiran, Nguyen, Springfield, Watterson
  • Automatic Versioning of Time Series Datasets: a FAIR Algorithmic Approach
    González-Cebrián, McGuinness, Bradford, Chis, González-Vélez
  • Managing Database-Application Co-Evolution in a Scientific Data Ecosystem
    Schuler, Kesselman

Session 6: Knowledge in the Data

Session Chair: Marcelo da Silva Reis (University of Campinas)

  • Text Summarization towards Scientific Information Extraction
    Keller, Furst, Raicu, Hastings, Tchoua
  • A Framework for Extracting Scientific Measurements and Geo-Spatial Information from Scientific Literature
    Suryani, Wölker, Sharma, Beth, Wallman, Renz
  • frances: A Deep Learning NLP and Text Mining Web Tool to Unlock Historical Digital Collections
    Filgueira
  • Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications
    Lumsden, Luettgau, Lama, Scully-Allison, Brink, Isaacs, Pearce, Taufer
Co-located Event Tutorial Workshop Main Conference
08:00
08:30
09:00 Keynote: An Equitable Future for Computational Research SherAaron (Sher!) Hurt (The Carpentries), Miller Town Hall
09:30
10:00 BREAK
10:30 Session 7: HPC and eScience Miller Town Hall Session 8: Signals and Sensor Zion Bank Classroom Session 9: Study of Molecular Systems Ivory Ballroom
11:00
11:30
12:00
12:40
13:00

Session 7: HPC and eScience

Session Chair: Silvina Caino-Lores (University of Tennessee Knoxville)

  • Enabling Autonomous Electron Microscopy for Networked Computation and Steering
    Al-Najjar, Rao, Sankaran, Ziatdinov, Mukherjee, Ovchinnikova, Roccapriore, Lupini, Kalinin
  • HPC Extensions to the OpenKIM Processing Pipeline
    Karls, Clark, Waters, Elliott, Tadmor
  • Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward
    Mehta, Cliff, Suter, Walker, Wolf, Jacobson, Klasky
  • Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications
    Ju, Perez, Markidis, Schlatter, Laure

Session 8: Signals and Sensor

Session Chair: Paul Watson (Newcastle University)

  • A Web-Based System for Contagion Simulations on Networked Populations
    sFerdousi, Kishore, Machi, Machi, Kuhlman, Ravi
  • Subspace based Anomaly Detection Framework for Point Clouds
    Zyl, Du, Thudumu, Logothetis, Barnett, Vasa, Mouzakis
  • Data Fusion for Connectivity Analysis between Ocean Regions
    Trahms, Wölker, Handmann, Visbeck, Renz
  • Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing
    Altintas, Perez, Mishin, Trouillaud, Irving, Graham, Tatineni

Session 9: Study of Molecular Systems

Session Chair: Pania Newell (U. Utah)

  • Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems
    Cranganore, De Maio, Do, Brandic, Deelman
  • The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows
    Ejarque, Andrio, Hospital, Conejero, Lezzi, Gelpi, Badia
  • Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling
    Kurniawan, Petrie, Transtrum, Tadmor, Elliott, Karls, Wen
  • ParticleGrid: Enabling Deep Learning using 3D Representation of Materials
    Zaman, Ferguson, Pereira, Akhiyarov, Araya-Polo, Chiu