Conference Programme | BDCAT 2020
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UCC 2020 Conference Programme

Workshop Programme & Doctoral Symposium Programme

BDCAT 2020 Conference Programme

Dates are given in Greenwich Mean Time (GMT)

Monday, December 7th
09:00 – 13:10 Opening and Keynotes
09:00 – 09:30 Conference Opening (General & PC Chairs)
09:30 – 10:00 Paul Monks (Chief Scientific Advisor: Business, Energy & Industrial Strategy, UK Government)
10:00 – 10:10 Break
10:10 – 11:10 Keynote (UCC): "New Horizons in IoT Workflows Provisioning in Edge and Cloud Datacentres for Fast Data Analytics: The Osmotic Computing Approach"
by Rajiv Ranjan (Newcastle University, UK)
11:10 – 11:20 Break
11:20 – 12:00 Keynote: "Enabling Personalized Medicine with Data Science - Sharing Experiences from Large Pharma Research Organization"
by Asif Jan (Roche, Switzerland)
12:00 – 12:10 Break
12:10 – 13:10 Keynote (BDCAT): "Cloud Computing for Sprinting Peak Services"
by Minyi Guo (Shanghai Jiatong University, China)
13:30 – 15:00 Session 1: Machine Learning: Health and Environment
Session Chair: Xinghui Zhao
Title Authors
13:30 – 14:00 Attention Models for PM25 Prediction(Click to download the slides ) Jovan Kalajdjieski, Georgina Mirceva and Slobodan Kalajdziski
14:00 – 14:30 A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease Sijan Rana, Xinhui Ma, Emma Wolverson and Wei Pang
14:30 – 15:00 Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection Tyler Petty, Thong Vu, Xinghui Zhao, Robert Hirsh, Greggory Murray, Francis Haas and Wei Xue
16:00 – 18:00 Session 2: Data Processing and Visualisation
Session Chair: Hongji Yang
Title Authors
16:00 – 16:30 Large-scale Data Integration Using Graph Probabilistic Dependencies Muhammad Sadiq Hassan Zada, Bo Yuan, Ashiq Anjum, Muhammad Ajmal Azad, Wajahat Ali Khan and Stephan Reiff-Marganiec
16:30 – 17:00 A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents Mohamed Abdulla Kalandar Mohideen, Shikharesh Majumdar, Marc St-Hilaire and Ali El-Haraki
17:00 – 17:30 Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets Kevin Bruhwiler, Thilina Buddhika, Shrideep Pallickara and Sangmi Lee Pallickara
17:30 – 18:00 Agami: Scalable Visual Analytics over Multidimensional Data Streams Mingxin Lu, Edmund Wong, Daniel Barajas, Xiaochen Li, Mosopefoluwa Ogundipe, Nate Wilson, Pragya Garg, Alark Joshi
and Matthew Malensek


Tuesday, December 8th
09:30 – 10:30 Keynote: "Blockchain and Confidential Computing"
by Gilles Fedak (IExec)
11:00 – 12:30 Session 3: Big Data Infrastructures and the Edge
Session Chair: Fatih Kurugollu
Title Authors
11:00 – 11:30 A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications Sheriffo Ceesay, Yuhui Lin and Adam Barker
11:30 – 12:00 Interpretability of Machine Learning in Accelerator-based High Energy Physics Danielle Turvill, Lee Barnby, Bo Yuan and Ali Zahir
12:00 – 12:30 Edge-enhanced analytics via latent space dimensionality reduction Maryleen Ndubuaku, Ashiq Anjum, Muhammad Ali, Antonio Liotta and Stephan Reiff-Marganiec
13:30 – 14:30 Keynote (BDCAT): “Distributed Network Big Data Processing for Knowledge Discovery”
by Min Geyong (Exeter Univ., UK)
14:30 – 14:45 Break
14:45 – 15:45 Keynote: "Big Data, Internet of Things, and AI –Three Sides of the Same Coin?"
by Samee Khan (National Science Foundation, US)
16:00 – 18:00 Session 4: Big Data Analytics and Applications I
Session Chair: Huiyu Zhou
Title Authors
16:00 – 16:30 Enabling Precise Control of a Haptic Device: A Machine Learning Approach Xinyu Zheng, Yuanmin Wang, Xinghui Zhao and Hakan Gurocak
16:30– 17:00 Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara and Shrideep Pallickara
17:00– 17:30 Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks Chris Nikolopoulos
17:30 – 18:00 Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning Hongwei Jin, Ning Yan and Masood Mortazavi


Wednesday, December 9th
09:30 – 11:00 Session 5: Big Data Analytics and Applications II
Session Chair: Ivor Spence
Title Authors
09:30– 10:00 Deepfake Detection through Deep Learning Richard Sinnott, Deng Pan, Rui Wang, Xingjian Zhang and Lixian Sun
10:00– 10:30 Effects of the Number of Hyperparameters on the Performance of GA-CNN(Click to Download the slides) Tirana Noor Fatyanosa and Masayoshi Aritsugi
10:30– 11:00 A satellite collision avoidance system based on General Regression Neural Network Md. Riftabin Kabir, Tarek Ibne Faysal, Md. Sazzad Hossain, Jannatun Naima Shorno and Shahnewaz Siddique
14:30 – 15:30 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)
15:30 – 16:00 Break
16:00 – 17:00 Keynote (UCC): “AI and Science Workflow Automation”
by Ewa Deelman (USC)


Thursday, December 10th
09:00 – 10:30 Session 6: Machine Learning: Education and Social Analytics
Session Chair: Shui-Hua Wang
Title Authors
09:00 – 09:30 An Inter-session Recommendation Framework with Multihop Gated Memory Jingnan Lin and Huiliang Shang
09:30– 10:00 Characterizing User Decision based on Argumentative Reviews Anang Kunaefi and Masayoshi Aritsugi
10:00– 10:30 Automated Cognitive Analyses for Intelligent Tutoring Systems Samara Banno and Hayder Murad

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