2023 Asia Conference on Machine Learning, Algorithms and Neural Networks (MLANN 2023)

Website: http://www.mlann.net/ 

Venue: Phuket, Thailand (both online and in-person)   

Conference Date: April 28-30, 2023

023 Asia Conference on Machine Learning, Algorithms and Neural Networks (MLANN 2023) will be held in Phuket, Thailand during April 28-30, 2023. It is sponsored by The International Society for Applied Computing (ISAC) and The Technical Institute for Engineers (T.I.E.). We fully understand some participants cannot attend the conference in-person due to COVID-19, so we will hold our conference both online and in-person, thus you could attend the conference online and do the online presentation.

During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Machine Learning, Algorithms and Neural Networks. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.

We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.

*Conference Speakers:

Keynote Speaker I:

Prof. David Zhang, Dapeng, Chinese University of Hong Kong (Shenzhen), China (IEEE Life Fellow)

Keynote Speaker II: Prof. Youfu Li, City University of Hong Kong, Hong Kong, China (IEEE Fellow)

Keynote Speaker III: Prof. Kot Chichung, Alex, Nanyang Technology University, Singapore (IEEE Fellow)

Keynote Speaker IV: 

Prof. Zhao Zhang, Hefei University of Technology, China (IEEE Senior Member)

*Call for papers:

Deep and Reinforcement LearningMachine Learning for Network Slicing OptimizationMachine Learning for 5G systemMachine Learning for User Behavior PredictionNew Innovative Machine Learning MethodsOptimization of Machine Learning MethodsPerformance Analysis of Machine Learning AlgorithmsExperimental evaluations of machine learningMachine learning for multimediaAnalysis of algorithmsCompetitive analysisComputability theoryComputational complexity theoryEmbarrassingly parallel problemEmergent algorithmComputational Science and EngineeringDeep learningSignal processingInformation extractionNatural language reasoningPattern recognition 

(for more topics: http://www.mlann.net/topic.html )

*Publication and indexing:

★All accepted and registered papers will be included in the Conference Proceedings and published by ACM (ISBN: 979-8-4007-0003-3), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus.

*Submission Methods:

1. Online Submission System: https://cmt3.research.microsoft.com/MLANN2023 

2. Submission Email: [email protected] 

Submission guidelines: http://www.mlann.net/submission.html 

*Join the conference as:Authors:Authors are expected to submit full papers to the submission system for further review by our Technical Committees. All accepted papers after proper registration and presentation in the conference will be published and submitted for indexing.

Presenters Only:The presenters are expected to submit abstracts only for presentation in the conference without paper publication in the conference proceedings.

Listeners:Listeners are expected to attend the conference without paper presentation or publication.

Reviewers:

PhD-holders in the research fields of Machine Learning, Algorithms and Neural Networks are welcome to be our reviewers and a certificate can be issued.

Sponsors/Partners:If you are interested in cooperating with us, such as sponsoring or being a partner of MLANN 2023, you are welcome to contact us at: [email protected]

*Contact us:

Website: http://www.mlann.net/ 

Conference Secretary: Ms. Annie Yang

Tel: +852 5319 3049

Email: [email protected]

If you have any question or request about our conference, no matter regarding submission, registration, participation or any further question, please send email to us and you will get feedback within 24 hours.