BDCAT2020: 7TH IEEE/ACM INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING, APPLICATIONS AND TECHNOLOGIES
PROGRAM

Days: Monday, December 7th Tuesday, December 8th Wednesday, December 9th Thursday, December 10th

Monday, December 7th

View this program: with abstractssession overviewtalk overview

09:00-13:10 Session 1: Opening and Keynotes

Conference Opening (General & PC Chairs)

Paul Monk (Chief Scientific Advisor: Business, Energy & Industrial Strategy, UK Government)

Break

Keynote (UCC): Rajiv Ranjan (Newcastle University, UK)

Break

Keynote3 (Industry talk): (Bloc Digital, UK) – Roche (US or Switzerland)

Break

Keynote (BDCAT): Minyi Guo (Shanghai Jiatong University, China)

13:30-15:00 Session 2: Machine Learning: Health and Environment
13:30
Attention Models for PM25 Prediction (abstract)
14:00
A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease (abstract)
14:30
Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection (abstract)
16:00-18:00 Session 3: Data Processing and Visualisation
16:00
Large-scale Data Integration Using Graph Probabilistic Dependencies (abstract)
16:30
A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents (abstract)
17:00
Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets (abstract)
17:30
Agami: Scalable Visual Analytics over Multidimensional Data Streams (abstract)
Tuesday, December 8th

View this program: with abstractssession overviewtalk overview

09:30-10:30 Session 4: Keynote

Keynote: Gilles Fedak

11:00-12:30 Session 5: Big Data Infrastructures and the Edge
11:00
A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications (abstract)
11:30
Interpretability of Machine Learning in Accelerator-based High Energy Physics (abstract)
12:00
Edge-enhanced analytics via latent space dimensionality reduction (abstract)
13:30-15:45 Session 6: Keynotes

Keynote (BDCAT): “Distributed Network Big Data Processing for Knowledge Discovery” by Min Geyong (Exeter Univ., UK)

Break

Keynote: Samee Khan (National Science Foundation, US)

16:00-18:00 Session 7: Big Data Analytics and Applications I
Chair:
16:00
Enabling Precise Control of a Haptic Device: A Machine Learning Approach (abstract)
16:30
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets (abstract)
17:00
Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks (abstract)
17:30
Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning (abstract)
Wednesday, December 9th

View this program: with abstractssession overviewtalk overview

09:30-10:30 Session 8: Big Data Analytics and Applications II
09:30
Deepfake Detection through Deep Learning (abstract)
10:00
Effects of the Number of Hyperparameters on the Performance of GA-CNN (abstract)
10:30
A satellite collision avoidance system based on General Regression Neural Network (abstract)
14:30-17:00 Session 9: Keynotes

Keynote (BDCAT): “Integrating Big Data, Data Science and Cyber Security with Applications in Internet of Transportation and Infrastructures” by

Bhavani Thuraisingham (University of Texas, Dallas, US)

Break

Keynote (UCC): “AI and Science Workflow Automation” by Ewa Deelman (USC)

Thursday, December 10th

View this program: with abstractssession overviewtalk overview

09:00-10:30 Session 10: Machine Learning: Education and Social Analytics
09:00
An Inter-session Recommendation Framework with Multihop Gated Memory (abstract)
09:30
Characterizing User Decision based on Argumentative Reviews (abstract)
10:00
Automated Cognitive Analyses for Intelligent Tutoring Systems (abstract)