4th International Conference on Computing and Data Science(CONF-CDS)

4th International Conference on Computing and Data Science(CONF-CDS)

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Macau, 999078


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The 4th International Conference on Computing and Data Science focuses on computing technology, machine learning and data science.

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4th International Conference on Computing and Data Science(CONF-CDS)


Location: Macau, SAR Both(online and in-person)


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Submission Deadline:2022.04.22(regular)2022.06.07(late)


The 4th International Conference on Computing and Data Science (CONF-CDS 2022) is a leading conference on computing technology, machine learning, computer science and data science hosted by Eliwise Academy. CONF-CDS is open to international participants. It provides an excellent opportunity for scholars interested in computing and data science to share their findings and achievements, thus promoting communication and cooperation.

The goal of this conference is to bring together researchers and practitioners from academia and industry to highlight the importance of computing technologies and data science as well as establish new collaborations in these areas. The conference looks for significant contributions to computing, data mining and data science in theoretical and practical aspects.

Call for paper:

We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications in the fields of computing, machine learning, artificial Intelligence and data science. The topics of interest include but are not limited to:


• Scientific Computing

• Computer Modeling

• Cloud Computing

• Parallel Computing

• Mobile Computing

• Simulation

• Computational Optimization

• Distributed Computing

• High Performance Computing

• Soft Computing Theory and Applications

Machine Learning

• Artificial Intelligence Tools & Applications

• Hybrid Intelligent Systems

• Natural Language Processing

• Computer Vision

• Image Processing

• Heuristic and AI Planning Strategies and Tools

• Computational Theories of Learning

• Intelligent System Architectures

• Neural Networks and Applications

• Pervasive Computing and Ambient Intelligence

• Reasoning and Evolution

• Semantic Web Techniques and Technologies

• Web Intelligence Applications and Search

Data Science

• Data Mining

• Big Data

• Databases

• Data Management

• Data Analytics

• Social Network Analysis

• Time Series Analysis

• Forecasting

• Data Security


Accepted papers are planned to be published in Lecture Notes on Data Engineering and Communications Technologies, which will be submitted to EI Compendex, Scopus, and other databases for indexing. You can find our publication history in THIS PAGE

Qualified submissions will be recommended to Engineering Reports to publish in the Special Issue.

Possible Actions on COVID-19

This conference is planned to be held in University of Macau. Presently, under the influence of COVID-19, there have been restrictions on travel and gatherings to avoid the spread of the virus. The world is making every effort to fight against the epidemic and we hope it can soon reach the end. However, if current situation continues as the set date of CONF-CDS 2022 approaching, we are afraid that this conference will have to be move online in consideration of the health and safety of our participants. We will timely update every change of the format and schedule of the conference. Please stay tuned with our official website.

Previous Speakers:

Gerhard Klimeck, Ph.D.

Professor of Electrical and Computer Engineering, Purdue University

Title of Speech: – always “on” :New Paradigms in Global Scientific Knowledge Transfer, Publishing, and Assessment

Gerhard Klimeck is an Electrical and Computer Engineering faculty at Purdue University and leads two research centers in Purdue's Discovery Park. He helped to create which now serves over 2.0 million users globally. Previously he worked with Texas Instruments and NASA/JPL/Caltech. His research interest is in computational nanoelectronics, high performance computing, and data analytics. NEMO, the nanoelectronic modeling software built in his research group established the state-of-the-art in atomistic quantum transport modeling. NEMO is now being used at Intel for advanced transistor designs and commercialized. He published over 525 printed scientific articles that resulted in over 20,000 citations and an h-index of 69 in Google scholar. He is a fellow of the Institute of Physics (IOP), a fellow of the American Physical Society (APS), a Fellow of IEEE, a Fellow of AAAS and a Fellow of the Alexander von Humboldt Stiftung (Germany). Together with physicist Michelle Simmons of the University of New South Wales, he "devised a way to make a single-atom transistor", which ranked #29 top invention of 2013 by Discover Magazine. In 2020 the nanoHUB team was awarded a R&D 100 award for “nanoHUB: Democratizing Learning and Research”. In Oct. 2020 he was elected Fellow of American Association for the Advancement of Science (AAAS), ”For the quantum mechanical modeling theory and simulation tools to design today's nanotransistors and for leadership of the global nanotechnology community as Director of nanoHUB.”

Venkatesan Guruswami, Ph.D.

Professor and Director of Ph.D. Program, Computer Science Department, Carnegie Mellon University

Title of Speech: Erasure codes for local repair in distributed storage

Venkatesan Guruswami (Venkat) is a Professor in the Computer Science Department at Carnegie Mellon University, and the director of its Ph.D. program. He received his Ph.D. from MIT in 2001. His research interests include error-correcting codes, approximate optimization, and computational complexity. Venkat serves on the editorial board of the Journal of the ACM and was till recently the Editor-in-Chief of the ACM Transactions on Computation Theory. He was program committee chair for the 2015 Symposium on Foundations of Computer Science (FOCS).

Venkat is a Fellow of the ACM and the IEEE. He was an invited speaker at the 2010 International Congress of Mathematicians. His other honors include the Simons Investigator award, EATCS Presburger Award, Packard and Sloan Fellowships, a Google Faculty Research Award, the ACM Doctoral Dissertation Award, and an IEEE Information Theory Society Paper Award.

Alex Siow, Ph.D.

Professor (Practice), School of Computing, National University of Singapore

Title of Speech: Data science and AI/ML in healthcare and Medtech - an industry perspective

Prof Alex Siow is currently Professor (Practice) in the department of Information Systems and Analytics of the School of Computing, National University of Singapore and a teaching staff of the Advanced Computing for Executives, an Executive Education Centre. He was former director of the Centre for Health Informatics. Alex started his career as a Structural Engineer in the HDB in 1981 and appointed the Chief Information Officer in 1989. In 2003, Alex joined the private sector and became the Senior Vice-President in StarHub Ltd. He held various portfolios including Head, Business Market, CIO and Head, Enterprise Risk Management. Alex is currently Chairman of Toffs Technologies Pte Ltd, an independent director of Tee International Ltd. He is also a director in DART Consulting and Training Pte Ltd and Wesan Future Design Pte Ltd. He is a strategic Advisor to Nityo Infotech, Alibaba Cloud and U3 Infotech. Prof Alex's expertise is in IT Governance, Enterprise Risk Management, Management of Emerging Technology and Technology Roadmap Planning. He is also active in the Fintech and blockchain community.

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