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Data Science, Machine Learning and Artificial Intelligence
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  • NUST Lower Campus
    International Conference on Data Science, Machine Learning and Artificial Intelligence (DSMLAI)
  • nust campus building
    International Conference on Data Science, Machine Learning and Artificial Intelligence
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    Accepted papers by DSMLAI will be published in the International Conference Proceedings.

DSMLAI Conference

Get to know all about our Conference

The International Conference on Data Science, Machine Learning and Artificial Intelligence will be organised by UNESCO Chair on Secure High-performance Computing for Higher Education and Research, Namibia University of Science and Technology (NUST) in association with the ACM Windhoek Chapters from November 23 to 25, 2022. The conference will be organised in conjunction with the International Conference on Information Systems and Emerging Technologies. The focus of the conference will be on new developments in artificial intelligence (AI) and data science, including machine learning (ML) and deep learning (DL). The conference also encourages contributions interaction issues around AI and ML. These also include human-computer interaction, machine-to-machine interactions, etc. Finally, the conference promotes the development of practical intelligent systems based on these trends.

This will be a virtual event, but we are also planning an in-person event in Windhoek, Namibia. Physical attendance is not expected or required for authors and presenters. Still, those who live in or near Windhoek or outside Namibia are welcome if local regulations allow for travel and social gatherings.

Accepted papers by DSMLAI will be published in the International Conference Proceedings ICISET 2022 (https://iciset.nust.na/) and will be hosted on Elsevier SSRN.

Location

Windhoek, Namibia

Date

November 23 - 25 2022

Important Dates
 
Paper Submission
September 30, 2022 [Extended]
 
Notification to Authors
October 14, 2022
 
Camera-ready Versions
October 28, 2022
 
Conference
November 23 - 25, 2022

Topics & Fields

Intensive Data Applications

Network support for data intensive systems, Real-time data intensive systems, Data Processing and Analytics; Big data and High-performance data access toolkits; Image Processing and Multimedia and Stream data computing; Games and AI, Future research challenges of data intensive systems

Intelligent Systems and Interaction

Artificial intelligence and machine learning, Smart cities, Smart energy systems and power grids, Smart  environmental, smart homes and sensor networks, Robotics and autonomous systems, Telecommunications, networked systems and cyber-security, Intelligent and integrated design of complex systems,Condition monitoring and fault diagnosis, Network control and Autonomous Vehicles, Computer vision

SECURITY AND HIGH-PERFORMANCE COMPUTING SYSTEMS

Security and Cyber-infrastructure, Incident response, forensic analysis and resolution of security incidents, Awareness and quantification of the threats to the security in HPC environments, Authentication and data access authorization, Proactive and reactive network traffic analyses, High-Performance Secure Storage and Cloud HPC security, High-performance implementation of cryptosystems, Intrusion and Attack Detection and Response, Privacy Preserving and Enhancing Technologies, Blockchain technology
 

HIGH-PERFORMANCE COMPUTING MODEL

Cloud/Fog/Edge Computing , Networks for high-performance computing platforms, Load balancing, resource management; Parallel and distributed algorithms, Emerging computation models, Performance Modelling and Evaluation, High-performance Computing for IoT, Big data, AI and Blockchain, Green High-Performance Computing
 

LEARNING AND ADAPTATION

Machine Learning, Deep and Reinforcement learning, Natural Language Processing
Pattern recognition and classification for networks, Machine learning for user behaviour prediction, Performance analysis of machine learning algorithms, Machine learning for multimedia, IoT and security and protection, Artificial Intelligence tools & Applications
 

AI-ENABLED DIGITAL TECHNOLOGY AND APPLICATION

Digital Twins , Digital Health/e-Health, Health Informatics, Bioinformatics, Neuroscience and Neuroengineering, Applications of Artificial Intelligence, Ethical Issues in AI
 

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Venue

13 Jackson Kaujeua Street,
Windhoek, Namibia

bus
Transport

Coming soon...

utensils
Hotel & Restaurant

Coming soon...

Organiser

UNESCO Chair

 

 

 

OUR SPONSORS :

IFIP

For more information, please contact the organising committee at
(+264) 61 207 2991 or dsmlai@nust.na

About

The conference focuses on new developments in data science (DS) and artificial intelligence (AI), including machine learning (ML) and deep learning (DL).

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Contact Us

  • 13 Jackson Kaujeua Street, Windhoek,
    Namibia
  • +264 61 207 2991
  • dsmlai@nust.na

Useful Links

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Conference Date

September 20 - 22, 2022

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