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Thursday, September 26 • 2:30pm - 3:30pm
Poster Session & Break

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Accepted posters are shown below with their poster number and the eScience2019 attendees in bold.

2. Accelerating Scientific Discovery with SCAIGATE Science Gateway
Chao Jiang (University of Florida), David Ojika (University of Florida), Bhavesh Patel (Dell EMC), Ann Gordon-Ross (University of Florida), and Herman Lam (University of Florida)

14. The Engagement and Performance Operations Center: EPOC
Edward Moynihan (Indiana University), Jennifer Schopf (Indiana University), and Jason Zurawski (Lawrence Berkeley National Lab)

41. A Review of Scalable Machine Learning Frameworks
Saba Amiri (Universiteit van Amsterdam, Netherlands), Sara Salimzadeh (Universiteit van Amsterdam, Netherlands) and Adam S. Z. Belloum (Universiteit van Amsterdam, Netherlands)

64. Streaming Graph Ingestion with Resource-Aware Buffering and Graph Compression
Subhasis Dasgupta (University of California San Diego), Aditya Bagchi (RKMV Educational and Research Institute), and Amarnath Gupta (University of California San Diego)

90. Predicting Eating Events in Free Living Individuals
Jiue-An Yang (University of California San Diego), Jiayi Wang (University of California San Diego), Supun Nakandala (University of California San Diego), Arun Kumar (University of California San Diego), and Marta M. Jankowska (University of California San Diego)

96. Streaming Workflows on Edge Devices to Process Sensor Data on a Smart Manufacturing Platform
Prakashan Korambath (University of California, Los Angeles), Haresh Malkani (University of California, Los Angeles), and Jim Davis (University of California, Los Angeles)

102. Sharing and Archiving Data Science Course Projects to Support Pedagogy for Future Cohorts
Stephanie Labou (University of California San Diego), Ho Jung Yoo (University of California San Diego), David Minor (University of California San Diego), and Ilkay Altintas (San Diego Supercomputer Center, University of California San Diego)

103. Enabling Server-Based Computing and FAIR Data Sharing with the ENES Climate Analytics Service
Sofiane Bendoukha (German Climate Computing Center (DKRZ)), Tobias Weigel (German Climate Computing Center (DKRZ)), Sandro Fiore (Euro-Mediterranean Center on Climate Change (CMCC)), and Donatello Elia (Euro-Mediterranean Center on Climate Change (CMCC))

104. Expanding Library Resources for Data and Compute-Intensive Education and Research
Stephanie Labou (University of California San Diego) and Reid Otsuji (University of California San Diego)

105. Enabling Transparent Access to Heterogeneous Architectures for IS-ENES climate4impact using the DARE Platform
Christian Pagé (Université de Toulouse, CNRS), Wim Som de Cerff (Koninklijk Nederlands Meteorologisch Instituut), Maarten Plieger (Koninklijk Nederlands Meteorologisch Instituut), Alessandro Spinuso (Koninklijk Nederlands Meteorologisch Instituut), and Xavier Pivan (Université de Toulouse, CNRS)

106. Support for HTCondor high-Throughput Computing Workflows in the REANA Reusable Analysis Platform
Rokas Maiulaitis (CERN), Paul Brenner (University of Notre Dame), Scott Hampton (University of Notre Dame), Michael D. Hildreth (University of Notre Dame), Kenyi Paolo Hurtado Anampa (University of Notre Dame), Irena Johnson (University of Notre Dame), Cody Kankel (University of Notre Dame), Jan Okraska (CERN), Diego Rodriguez (CERN), and Tibor Šimko (CERN)

107. Effective Digital Object Access and Sharing Over a Networked Environment using DOIP and NDN
Cas Fahrenfort (University of Amsterdam) and Zhiming Zhao (University of Amsterdam)

108. Contextual Linking between Workflow Provenance and System Performance Logs
Elias el Khaldi Ahanach (University of Amsterdam), Spiros Koulouzis (University of Amsterdam), and Zhiming Zhao (University of Amsterdam)

109. A Historical Big Data Analysis to Understand the Social Construction of Juvenile Delinquency in the United States
Sandeep Puthanveetil Satheesan (University of Illinois at Urbana-Champaign), Alan B. Craig (Extended Collaborative Support Services, Extreme Science and Engineering Discovery Environment), and Yu Zhang (State University of New York at Brockport)

110. Workflow Automation in Liquid Chromatography Mass Spectrometry
Reinhard Gentz (Lawrence Berkeley National Laboratory), Hector Garcıa Martin (Joint BioEnergy Institute), Edward Baidoo (Joint BioEnergy Institute), and Sean Peisert (Lawrence Berkeley National Laboratory)

111. A Vision towards Future eScience
Shinji Shimojo (Osaka University) and Susumu Date (Osaka University)

112. HUBzero© Goes OneSciencePlace: The Next Community-Driven Steps For Providing Software-as-a-Service
David Benham (Purdue University) and Sandra Gesing (University of Notre Dame)

Thursday September 26, 2019 2:30pm - 3:30pm PDT
Kon Tiki Room & Foyer