Papers and authors

The Programme Chairs and Committee are pleased to present the accepted papers for IEEE eScience 2017:

Research papers

  • A mathematical programming and simulation based framework to evaluate cyberinfrastructure design choices
    Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar and Ian Foster
  • A Mobile Application for Plant Recognition through Deep Learning
    Richard Sinnott, Min Gao and Lang Lin
  • Accelerating Exact Protein Structure Alignment with Graphics Processors
    Yishui Wu, Shuang Qiu and Qiong Luo
  • Adapting Enterprise Architecture for eScience
    Richard Palmer, Kheeran Dharmawardena and Hamish Holewa
  • Adaptive Lossy Compression of Complex Environmental Indices using Seasonal Auto Regressive Integrated Moving Average Models
    Ugur Cayoglu, Peter Braesicke, Tobias Kerzenmacher, Jörg Meyer and Achim Streit
  • An Investigation into Acoustic Analysis Methods for Endangered Species Monitoring: A Case of Monitoring the Critically Endangered White-bellied Heron in Bhutan
    Tshering Dema, Liang Zhang, Michael Towsey, Anthony Truskinger, Sherub Sherub, Kinley Kinley, Jinglan Zhang, Margot Brereton and Paul Roe
  • An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis
    Jessica Block, Mehrdad Yazdani, Mai Nguyen, Daniel Crawl, Marta Jankowska, John Graham, Tom Defanti and Ilkay Altintas
  • BOSS-LDG: A Novel Computational Framework that Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery
    E. A. Huerta, Roland Haas, Edgar Fajardo, Daniel Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T. C. Kramer, Hon Wai Leong and David Wheeler
  • Change Frequency Heatmaps for Temporal Multivariate Data Analysis: A Case Study in Plant Phenology
    Greice C. Mariano, Natalia C. Soares, Leonor Patricia Cerdeira Morellato and Ricardo Da S. Torres
  • Clustering and visualisation of long-duration audio recordings for rapid exploration avian surveys
    Philip Eichinski and Paul Roe
  • Collaborative Reuse of Streaming Dataflows in IoT Applications
    Shilpa Chaturvedi, Sahil Tyagi and Yogesh Simmhan
  • Data Provenance for Multi-Agent Models
    Delmar Davis, Jonathan Featherston, Munehiro Fukuda and Hazeline Asuncion
  • Developing a Volunteer Computing Project to Evolve Convolutional Neural Networks and Their Hyperparameters
    Travis Desell
  • dSpark: Deadline-based Resource Allocation for Big Data Applications in Apache Spark
    Muhammed Tawfiqul Islam, Shanika Karunasekera and Rajkumar Buyya
  • Dynamic network bandwidth resizing for Big Data applications
    Fábio Rossi, Guilherme Rodrigues, Rodrigo Calheiros and Marcelo Conterato
  • Energy-efficient Dynamic Scheduling of Deadline-constrained MapReduce Workflows
    Tong Shu and Chase Wu
  • Experiences with Deriva: An Asset Management Platform for Accelerating eScience
    Alejandro Bugacov, Karl Czajkowski, Carl Kesselman, Anoop Kumar, Robert Schuler and Hongsuda Tangmunarunkit
  • In Pursuit of the Wisest: Building Cost-Effective Teams of Experts for Scientific Collaboration
    Yashar Najaflou and Kris Bubendorfer
  • Iterative Design and Evaluation of Regulatory Network Visualisation at Scale
    Samuel Smith, James Hogan, Margot Brereton, Daniel Johnson, Markus Rittenbruch and Xin-Yi Chua
  • Monitoring Water Quality in the Great Lakes leveraging Geo-Temporal Cyberinfrastructure
    Indira Gutierrez Polo, Yan Zhao, Shannon Bradley, Michelle Pitcel, Eugene Roeder, Luigi Marini, Kristin Tepas and Paris Collingsworth
  • Multi-label classification of frog species via deep learning
    Jie Xie, Rui Zeng, Changliang Xu, Jinglan Zhang and Paul Roe
  • Online Decision-Making Using Edge Resources for Content-Driven Stream Processing
    Eduard Gibert Renart, Daniel Balouek-Thomert, Xuan Hu, Jie Gong and Manish Parashar
  • Provenance-based Scientific Workflow Search
    Amani Abu Jabal, Elisa Bertino and Geeth de Mel
  • Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments
    Tekin Bicer, Doga Gursoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren, Vincent De Andrede and Francesco De Carlo
  • Sciunits: Reusable Research Objects
    Dai Hai Ton That, Gabriel Fils, Zhihao Yuan and Tanu Malik
  • SELFIE: Self-aware Information Extraction from Digitized Biocollections
    Icaro Alzuru, Andréa Matsunaga, Maurício Tsugawa and Jose Fortes
  • Similarity Projection: A geometric measure for comparison of biological sequences
    Lawrence Buckingham, Timothy Chappell, James Hogan and Shlomo Geva
  • TaRDIS, a Visual Analytics System for Spatial and Temporal Data in Archaeo-related Disciplines
    Daniel Kaltenthaler, Johannes-Y. Lohrer, Ptolemaios D. Paxinos, Daniel Hämmerle, Henriette Obermaier and Peer Kröger
  • Task-based Budget Distribution Strategies for Scientific Workflows with Coarse-grained Billing Periods in IaaS Clouds
    Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez and Rajkumar Buyya
  • Toward Using Citizen Scientists to Drive Automated Ecological Object Detection in Aerial Imagery
    Connor Bowley, Marshall Mattingly, Andrew Barnas, Susan Ellis-Felege and Travis Desell
  • Towards a Fully Automated Diagnostic System for Orthodontic Treatment in Dentistry
    Seiya Murata, Chonho Lee, Yujin Shimizu, Chihiro Tanikawa, Kazunori Nozaki and Susumu Date
  • Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline
    Roselyne Tchoua, Kyle Chard, Debra Audus, Logan Ward, Joshua Lequieu, Juan de Pablo and Ian Foster
  • WorkflowHunt: combining keyword and semantic search in scientific workflow repositories
    Juan Sebastian Beleño Diaz and Claudia Bauzer Medeiros

Experience Papers

  • A computational pipeline for the IUCN risk assessment for Meso-American reef ecosystem
    Hoang Nguyen, Lucie Bland, Tristan Roberts, Siddeswara Guru, Minh Dinh and David Abramson
  • A Metropolitan Area Infrastructure for Data Intensive Science
    David Abramson, Jake Carroll, Chao Jin and Michael Mallon
  • A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and its Users
    Mike Simpson, Simon Woodman, Hugo Hiden, Sebastian Stein, Stephen Dowsland, Mark Turner, Vicki Hanson and Paul Watson
  • Analysis of Distributed Execution of Workloads
    Matteo Turilli, Andre Merzky, Daniel S. Katz, Shantenu Jha and Wilde Michael
  • Converging High-Throughput and High-Performance Computing: A Case Study
    Alessio Angius, Sergey Panitkin, Matteo Turilli, Jack Wells and Shantenu Jha
  • Experimental Humanities: An Adventure with Lovelace and Babbage
    David De Roure and Pip Willcox
  • Improving Small File I/O Performance for Massive Digital Archives
    Hwajung Kim and Heonyoung Yeom
  • Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae)
    Matheus Macedo Leonardo, Sandra Avila, Roberto Zucchi and Fabio Augusto Faria
  • ScienceDB: a public multidisciplinary repository for eScience
    Chengzan Li, Yanfei Hou, Jianhui Li and Lili Zhang
  • SNIC Science Cloud (SSC): A National-scale Cloud Infrastructure for Swedish Academia
    Salman Toor, Mathias Lindberg, Ingemar Fallman, Andreas Vallin, Olof Mohill, Pontus Freyhult, Linus Nilsson, Martin Agback, Lars Viklund, Henric Zazzi, Ola Spjuth, Marco Capuccini, Joakim Moller, Donal Murtagh and Andreas Hellander
  • Ten Principles for Creating Usable Software for Science
    Lavanya Ramakrishnan and Daniel Gunter
  • Towards a Human-Machine Scientific Partnership Based on Semantically Rich Research Objects
    Jose Manuel Gomez-Perez, Raul Palma and Andrés García-Silva


To be published.

Comments are closed