BDCAT 2024

Sharjah, UAE 16-19 December

The 11th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT2024)

Co-hosted conference: UCC 2024

BDCAT is a premier annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. Previous events were held in London, UK (BDCAT 2014), Limassol, Cyprus (BDCAT 2015), Shanghai, China (BDCAT 2016), Austin, USA (BDCAT 2017), Zurich, Switzerland (BDCAT 2018), Auckland, New Zealand (BDCAT 2019), Leicester, UK (BDCAT 2020), Leicester, UK (BDCAT 2021), Vancouver, USA (BDCAT 2022) and Taormina, Italy (BDCAT 2023). BDCAT 2024 will be held in conjunction with the 17th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2024) in Sharjah, United Arab Emirates.

Doctoral Symposium & Early Career Mentorship Program Submissions Deadline

Authors are encourgaed to submit their papers before the submission deadline

Submission Deadline

Authors are encourgaed to submit their papers before the submission deadline

Publications
IEEE/ACM
Scopus Indexed

Start Date
16 - 12 - 2024

Location
University of Sharjah
Main Campus

Program Includes
Workshops, tutorials,
keynote speeches, poster
and oral sessions

Conference Themes

Machine Learning and Data Mining

Enhancing machine learning through advanced models, efficient algorithms, and specialized hardware for scalable, fair, and interpretable solutions.

Data Infrastructures and Platforms

Optimizing data infrastructures with scalable models, secure storage, efficient processing, and sustainable, reliable technologies for analytics.

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Scaling Data
Applications

Expanding data applications across diverse fields, integrating IoT, healthcare, business, and cloud-edge technologies for future challenges and trends.

Scaling Data
Visualization

Enhancing data visualization through advanced algorithms, interactive models, and effective visual representation for analytical reasoning and interpretation.

Sub Themes

Data Science Models and Approaches
Data Acquisition, Integration, Cleaning and Best Practices
Supervised, Unsupervised and Reinforcement Learning
Neural Networks, Convolution Neural Networks and Recurrent Neural Networks
Transformer and Natural Language Processing
Swarm Intelligence and Evolutionary Strategy
Efficient Model Training, Inference and Serving
Distributed, Federated and Parallel Learning Algorithms
Testing, Debugging and Monitoring
Fairness, Interpretability and Explainability
Specialized Hardware for Scaling

Sub Themes

- Scalable Computing Models, Theories and Algorithms
- Mapreduce: Hadoop and Spark
- Privacy and Security over the Data Life Cycle
- Data Search and Information Retrieval Techniques
- Extract/Transform/Load (ETL) or ETL Pipelines
- In-Memory Systems and Platforms
- Performance Evaluation Reports
- Storage Systems (including file systems, NoSQL, and RDBMS)
- Resource Management Approaches
- Data Analytics on Edge Devices
- Fault Tolerance and Reliability
- Energy-Efficiency and Sustainability
- Data Archival and Preservation

Sub Themes

Data Applications for Internet of Things, Mobile Applications and Cyber-Physical Systems
Data Applications for Healthcare and Life Science (e.g., Genome Processing)
Data Applications for Physical Science and Engineering
Data Applications for Business and Enterprise Applications
Data Applications for Social Networks
Data Applications for Scientific Case Studies
Data Applications over the Cloud-Edge Continuum
Data Streaming and Batch Applications
Data Trends and Challenges

Sub Themes

Visual Analytics Algorithms and Foundations
Graph and Context Models for Visualization
Analytics Reasoning and Sense-making
Visual Representation and Interaction
Data Transformation and Presentation

Submit your paper to BDCAT 2024

View the submission dates and guidlines for authors

Submit Your Paper

Honorary Chair

Hamid M.K. Al-Naimiy

University of Sharjah, UAE

General Co-Chairs

Fatih Kurugollu

University of Sharjah, UAE

Ashiq Anjum

University of Leicester, UK

Abbes Amira

University of Sharjah, UAE

Program Co-Chairs

Sebti Foufou

University of Sharjah, UAE

Antonio Liotta

Free University of Bozen-Bolzano, Italy

View Full Committee Members

CONFERENCE PROGRAM

Day 0119 Jul-2016
Day 0220 Nov 2016
Day 0321 Nov 2016
Day 0422 Nov 2016

Room 1
Room 2
Room 3
Room 4

Hall 1
Hall 2
Hall 3

Room 1
Room 2

Opening Ceremony

Conference Program

KEYNOTE SPEAKERS

Aad van Moorsel

University of Birmingham, UK

Manish Parashar

University of Utah, USA

Mérouane Debbah

Khalifa University of Science and Technology, UAE

Georgios Theodoropoulos

Southern University of Science and Technology, China

Mattie Yeta

Consultants to Government and Industry IT, UK

More About Keynote Speakers

Aad van Moorsel is a Chair in Decentralised Systems and Head of the School of Computer Science at the University of Birmingham as well as interim Director of Birmingham’s Institute of Interdisciplinary Data Science and AI. He has been active in cloud computing and its predecessors for three decades, in industry, academia, and as an entrepreneur. He received his PhD in computer science from Universiteit Twente and has a Master’s in mathematics from Universiteit Leiden, both in The Netherlands. After finishing his PhD he was a postdoc at the University of Illinois at Urbana-Champaign, Illinois, USA, and worked in industry, first as a researcher at Bell Labs/Lucent Technologies in Murray Hill and then as a research manager at Hewlett-Packard Labs in Palo Alto, both in the United States. At HP Labs, his research and innovation group worked on various aspects of utility computing (now called cloud computing), from energy management to virtualisation middleware and business-level Service Level Agreement management. He continued and broadened this line of research, always considering quantitative methods, authoring over 200 peer-reviewed research papers and resulting in three US patents. He co-founded the user-managed access software company CloudIdentity Ltd. in 2011, since successfully merged into industrial partners. His current research group at the University of Birmingham conducts research in the security, privacy and trust of distributed information systems, with applications in payment, trustworthy AI, federated learning, blockchain and smart systems.

Manish Parashar is Director of the Scientific Computing and Imaging (SCI) Institute, Chair in Computational Science and Engineering, and Presidential Professor, Kalhert School of Computing at the University of Utah. He recently completed an IPA appointment at the National Science Foundation as Office Director of the NSF Office of Advanced Cyberinfrastructure where he oversaw investments in national cyberinfrastructure. He also served as co-chair of the National Science and Technology Council’s Subcommittee on the Future Advanced Computing Ecosystem and the National Artificial Intelligence Research Resource Task Force.
Manish’s expertise is in high performance parallel and distributed computing and cyberinfrastructure, and he has made pioneering contributions towards enabling new insights through large-scale computations and data in a range of science and engineering domains.
Manish has received a number of awards for his research and leadership, including most recently the 2023 IEEE Computer Society Sidney Fernbach Award and the 2024 CRA Distinguished Service Award.
Manish is the founding chair of the IEEE Technical Consortium on High Performance Computing (TCHPC), and is Fellow of AAAS, ACM, and IEEE/IEEE Computer Society. For more information, please visit http://manishparashar.org

Mérouane Debbah is a researcher, educator and technology entrepreneur. Over his career, he has founded several public and industrial research centers, start-ups and is now Professor at Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is also the Chief Scientific AI Advisor at the Technology Innovation Institute. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 40 IEEE best paper awards) for his contributions to both fields and according to research.com is ranked as the best scientist in France in the field of Electronics and Electrical Engineering. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow and a Membre émérite SEE. His recent work led to the development of NOOR (upon it release, largest language model in Arabic) released in 2022, Falcon LLM (upon its release, top ranked open source large language model) released in 2023 and the Falcon Foundation in 2024. The Falcon Model Series and The Falcon Foundation have positioned the UAE as a global leader in the generative AI field. He is a member of the Marconi Prize Selection Advisory Committee.

Georgios Theodoropoulos is a Chair Professor in the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech) in Shenzhen, China’s Silicon Valley. He moved to Shenzhen from Durham University in the UK where he was Executive Director of the Institute of Advanced Research Computing and held a Chair in the School of Engineering and Computing Sciences. Prior to that he was a Senior Research Scientist with IBM Research where he played a strategic role in the establishment of IBM’s Exascale Systems research roadmap for Europe at the company’s Smart City Technology Centre in Ireland. He has held an honorary Chair the Trinity College Dublin and senior appointments at the Nanyang Technological University, Singapore and the University of Birmingham, UK where he was Director of one of the UK’s e-Science Centres of Excellence.
His research work spans more than 30 years with contributions in Info-Symbiotic Systems, Distributed Simulation and Distributed Virtual Environments, Parallel and Distributed Computer Systems, Complex and Multi-agent systems and workload optimised systems for data-driven analytics. He has been an apostle of interdisciplinary research and over the years he has spearheaded numerous interdisciplinary initiatives and projects aimed at tackling major global societal problems aligned with the United Nations Sustainable Development Goals (SDGs).
He is an Ordinary Member of the European Academy of Sciences and Arts, a Fellow of the World Academy of Art and Science, a Fellow of the British Computer Society, Board Member and the Chief Operating Officer of the Info-Symbiotics Systems Society, an Accredited Board Director by the Singapore Institute of Directors, a Chartered Engineer, and holds a PhD from the University of Manchester, UK.