Timetable

Co-located Event Tutorial Workshop Main Conference
09:00 RSE-eScience-2023: Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience Scientific Workflows at Scale using GNU Parallel
09:30
10:00
10:30 BREAK
11:00 RSE-eScience-2023: Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience Scientific Workflows at Scale using GNU Parallel
11:30
12:00
12:30 LUNCH
13:00
13:30
14:00 eScience23: Welcome
14:30 eScience23 Keynote: Convergence Research at the Digital Continuum
İlkay Altıntaş, University of California San Diego
15:00
15:30 BREAK
16:00 Special Session: Future of eScience I
  • Toward Democratizing Access to Science Data: Introducing the National Data Platform
    Parashar, Altintas
  • Let's Put the Science in eScience
    Kesselman, Schuler, Foster
  • Reproducible eScience: The Data Containerization Challenge
    Malik
  • APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service
    Madduri, Li, He, Huerta, Chard, Kim, Ryu, Kindratenko, Hoang, Chaturvedi, Giger, Fuhrman
  • From eScience to Impact on the Economy and Society
    Watson, Hodgson
  • e-Science: The Long View
    De Roure, Willcox
Session 1: Computational Science for Sustainable Development
  • Detection and Tracking of Dynamic Ocean Carbon Uptake Regimes Built upon Spatial Target-Driver Relationships via Adaptive Hierarchical Clustering
    Mohanty, Kazempour, Patara, Kröger
  • Reconstruct Geospatial Data from Ultra Sparse Inputs to Predict Climate Events
    Landt-Hayen, Kröger, Rath, Claus
  • Demystifying the Performance of Data Transfers in High-Performance Research Networks
    Arslan
  • OCSRL: An Model-Based Reinforcement Learning Approach to Optimize Energy Consumption of Cooling Systems
    Kaushik, Naik
16:30
17:00
17:30 Posters short talks (1-min short talks)
18:00 Poster reception
18:30
19:00
19:30
20:00


Posters

  • Normality of I-V Measurements Using ML
    Anees Al-Najjar, Nageswara Rao, Craig Bridges and Sheng Dai
  • Enhancing AIS Vessel Trajectories via Trip Detection
    Mirjam Bayer, Sören Dethlefsen, Tabea Fry and Peer Kröger
  • LexiFuse+: A Unified One-Class Solution for Imbalanced Short-text Classification
    Saugata Bose and Guoxin Su
  • Symbolic Regression applied to Cosmology: An approximate expression for the density perturbation variance
    Ana Carvalho, David Magalhaes Oliveira, Alberto Krone-Martins and Antonio da Silva
  • Scalable infrastructure for galaxy image analysis: I. Measuring Position Angles with Radon transforms
    Neo Chen and Alberto Krone-Martins
  • Project Presentation: Recursive Functions and Ontology Engineering
    Irakli Chitaia, Roland Omanadze and Mikheil Rukhaia
  • Towards a Knowledge Graph enhanced automation and collaboration framework for Digital Twins
    Vasileios Christou, Yuandou Wang and Zhiming Zhao
  • Emulating Hydrodynamics from Dark Matter 3D Density Fields
    Miguel Conceição, Alberto Krone-Martins and Antonio da Silva
  • Example evaluations of plagiarism cases using FAIR Metrics and the PDP-DREAM Ontology
    Adam Craig, Anousha Athreya and Carl Taswell
  • Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification
    Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski and Ilkay Altintas
  • Detection of Component Degradation: A Study on Autoencoder-based Approaches
    Dario Guidotti, Laura Pandolfo and Luca Pulina
  • Verifying Neural Networks with SMT: An Experimental Evaluation
    Dario Guidotti, Laura Pandolfo and Luca Pulina
  • Mobilise-D: Experiences of processing large medical data sets using Cloud Computing resources
    Hugo Hiden and Paul Watson
  • CWL-FLOps: A Novel Method for Federated Learning Operations at Scale
    Chronis Kontomaris, Yuandou Wang and Zhiming Zhao
  • Integrating R in a distributed scientific workflow via a Jupyter-based Environment
    Mariantonietta La Marra, Diederik Blanson Henkemans, Jessica Titocci, Spiros Koulouzis, Ilaria Rosati and Zhiming Zhao
  • A Digital Twin for Climate Extremes using Artificial Intelligence
    Christian Pagé and Anne Durif
  • Using Fourier Coefficients and Wasserstein Distances to Estimate Entropy in Time Series
    Scott Perkey, Ana Carvalho and Alberto Krone-Martins
  • Implementing a FAIR Information System for Archaeology-Related Interdisciplinary Research
    Steffen Strohm, Hartwig Buenning and Matthias Renz
  • Accelerating the Design of Scientific Workflows with Simulation-Based Rapid Prototyping
    Frédéric Suter
  • Semi-Supervising an Anomalous Universe
    David Sweeney, Alberto Krone-Martins, Peter Tuthill and Richard Scalzo
  • Automatic green land-use generator for urban areas
    Veronica Vidal, Carlos Carrillo, Ana Cortés, Alba Badia and Gara Villalba
  • Design by Contract Revisited in the Context of Scientific Data Analysis Workflows
    Anh Duc Vu, Jan Arne Sparka, Ninon de Mecquenem, Timo Kehrer, Ulf Leser and Lars Grunske
  • Automating the Evaluation of Datasets for FAIR and CARE Principles
    Rujula Yete, Shweta Purawat, Ismael Perez, Daniel Crawl and Ilkay Altintas
Co-located Event Tutorial Workshop Main Conference
09:00 eScience23 Keynote: Global Services for Global Science
Ian T. Foster, University of Chicago and Argonne National Laboratory
09:30
10:00 Session 2: Best Paper Candidates
  • A Network Synthesis and Analytics Pipeline with Applications to Sustainable Energy in Smart Grid
    Thorve, Kishore, Machi, Ravi, Marathe
10:30 BREAK
11:00 Session 2: Best Paper Candidates
  • Tomo2Mesh: Fast porosity mapping and visualization for synchrotron tomography
    Tekawade, Nikitin, Satapathy, Liu, Zhang, Kenesei, Zheng, De Carlo, Foster, Kettimuthu
  • Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
    Egele, Guyon, Vishwanath, Balaprakash
  • TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations
    Roten, Wells, Crawl, Parsons, Marcozzi, Linn, Hiers, Altintas
  • Driving Next-Generation Workflows from the Data Plane
    Suter, Ferreira da Silva, Gainaru, Klasky
11:30
12:00
12:30 LUNCH
13:00
13:30
14:00 Special Session: Future of eScience II
  • Democratization of AI: Challenges of AI Cyberinfrastructure and Software Research
    Plale, Khan, Morales
  • Discovery Testbed: an Observational Instrument for Broadband Research
    Keahey, Feamster, Martins, Powers, Richardson, Schrubbe, Sherman
  • Research Software Engineering in 2030
    Katz, Hettrick
  • Tracking Material Reuse across Construction Supply Chains
    Wilson, Adu-Duodu, Li, Sham, Wang, Solaiman, Perera, Ranjan, Rana
Session 3: Best Student Paper Candidates
  • Truck Speed Detection through Video Streams (** also best paper candidate)
    Huang, Sinnott, Ehinger
  • FAIRSECO: An Extensible Framework for Impact Measurement of Research Software
    Deekshitha, Farshidi, Maassen, Bakhshi, Nieuwpoort, Jansen
  • Contract-Driven Design of Scientific Data Analysis Workflows
    Vu, Sparka, De Mecquenem, Kehrer, Leser, Grunske
  • frances: Cloud-Based Historical Text Analysis with Deep Learning and Parallel Processing
    Yu, Charlton, Askins, Terras, Filgueira
14:30
15:00
15:30 BREAK
16:00 Special Session: Future of eScience III
  • Why we need a Research Data Reference Architecture
    Abramson, Betbeder-Matibet, Bird, Carroll, Francis, Goscinski, Soo, Swan, Walsh, Wightwick, Wilkinson
  • From Workflows to Teamflows in eScience: Integrating Collaborative Science, AI, and Computing for Impact at Scale
    Altintas
  • How Is Artificial Intelligence Changing Science?
    Deelman
  • Beyond the Fourth Paradigm — The Rise of AI
    Marek, Rampp, Reuter, Laure
  • eScience serverless data storage services in the edge-fog-cloud continuum
    Sánchez-Gallegos, Carrizales-Espinosa, Gonzalez-Compeán, Carretero
Session 4: FAIR and Research Infrastructures for eScience
  • Can Automated Metadata Extraction make Scientific Data More Navigable?
    Skluzacek, Chard, Foster
  • PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs
    Hategan-Marandiuc, Merzky, Collier, Maheshwari, Ozik, Turilli, Wilke, Wozniak, Chard, Foster, Ferreira da Silva, Jha, Laney
  • Virtual Patient Platform and Data Space for Sharing, Learning, Discussing, and Researching
    Santanchè, Mattosinho, Mota, Pantoja, Leite, Tonelli, Valente, Martins, Queirós, Grangeia, Carvalho Filho
  • Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
    Souza, Skluzacek, Wilkinson, Ziatdinov, Ferreira da Silva
16:30
17:00
17:30
18:00
18:30 Banquet, Awards, eScience 2024 revealed
19:00
19:30
20:00
20:30
21:00
Co-located Event Tutorial Workshop Main Conference
09:00
09:30 eScience23 Keynote: From Data to Impact
Paul Watson, Newcastle University
10:00
10:30 BREAK
11:00 Session 5: Applications and AI
  • Online Boosted Gaussian Learners for in-situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations
    Sahni, Carrillo-Cabada, Kots, Caino-Lores, Marquez, Deelman, Cuendet, Weinstein, Taufer, Estrada
  • Real-Time Vehicle Passenger Detection through Deep learning
    Sinnott, Gu
  • FlyPaw: Optimized Route Planning for Scientific UAV Missions
    Grote, Lyons, Thareja, Papadimitriou, Deelman, Mandal, Calyam, Zink
  • Reversible Network Covert Channel by Payload Modulation in Streams of Decimal Sensor Values
    Heßeling, Keller, Litzinger
Session 6: Programming and Optimization
  • Entangled, a Bidirectional System for Sustainable Literate Programming
    Hidding
  • Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration
    Faj, Peng, Wahlgren, Markidis
  • Lazy Python Dependency Management in Large-scale systems
    Kamatar, Sakarvadia, Hayot-Sasson, Chard, Foster
  • In-Situ Techniques on GPU-Accelerated Data-Intensive Applications
    Ju, Li, Perez, Bellentani, Jansson, Markidis, Schlatter, Laure
Session 7: Frameworks for eScience
  • RepoGraph: A Novel Semantic Code Exploration Tool for Python Repositories based on Knowledge Graphs and Deep Learning
    Williams, Filgueira
  • Mapping the Repository Landscape: Harnessing Similarity with RepoSim and RepoSnipy
    Li, Filgueira
  • CKN: An Edge AI Distributed Framework
    Withana, Plale
  • An Automation Framework for Comparison of Cancer Response Models Across Configurations
    Wozniak, Jain, Wilke, Weaver, Partin, Brettin, Stevens
11:30
12:00
12:30 LUNCH
13:00
13:30
14:00 Session 8: Data Retrieval
  • Reproducible Query Processing and Data Citation of in situ Soil Moisture Data
    Staudinger, Hajszan, Miksa, Himmelbauer, Aberer, Rauber, Dorigo
  • Building Lightweight Semantic Search Engines
    Rovatsos, Filgueira
  • Database Evolution, by Scientists, for Scientists: A Case Study
    Schuler, Singla, Vallat, White, Berman, Kesselman
  • Search in Archival Facsimile Documents for Digital History
    Banyasz, Hofstätter, Hanbury
Session 9: Performance
  • Spatiotemporally adaptive compression for scientific dataset with feature preservation – a case study on simulation data with extreme climate events analysis
    Gong, Zhang, Liang, Reshniak, Chen, Rangarajan, Ranka, Vidals, Ullrich, Podhorszki, Klasky
  • Online and Scalable Data Compression Pipeline With Guarantees on Quantities of Interest
    Banerjee, Lee, Choi, Gong, Chen, Chang, Klasky, Rangarajan, Ranka
  • I/O Burst Prediction for HPC Clusters using Darshan Logs
    Arslan
Session 10: Data Management
  • LivePublication: The science workflow creates and updates the publication
    Ellerm, Gahegan, Adams
  • A Dense Retrieval System and Evaluation Dataset for Scientific Computational Notebooks
    Li, Zhang, Zhao
  • A Method for Constructing Research Data Provenance in High-Performance Computing Systems
    Namiki, Hosomi, Tanushi, Yamashita, Date
  • Achieving Decentralized Authority for Collaborative Data Sharing with Consensus
    Jarosz, Dębowski, Szuma, Opioła, Dutka, Słota, Kitowski
14:30
15:00
15:30