3rd International Conference on Big Data and Machine Learning (BDML 2022)
March 26~27, 2022, Sydney, Australia
SCOPE
3rd International Conference on Big Data and Machine Learning (BDML 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Big Data and Machine Learning
PAPER SUBMISSION
SAMPLE TEMPLATE
Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms
TOPICS OF INTEREST
Big Data
Big Data Techniques, models and algorithms
Big Data Infrastructure and platform
Big Data Search and Mining
Big Data Security, Privacy and Trust
Big Data Applications, Bioinformatics, Multimedia etc
Big Data Tools and systems
Big Data Mining
Big Data Management
Cloud and grid computing for Big Data
Machine Learning and AI for Big Data
Big Data Analytics and Social Media
5G and Networks for Big Data
Machine learning
Machine Learning Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Deep Learning
OTHER CONFERENCES
PAST EVENTS
Paper Submission
Authors are invited to submit papers through the conference Submission System by CLOSED. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from BDML 2022, after further revisions, will be published in the special issue of the following journals
International Journal of Data Mining & Knowledge Management Process (IJDKP)
International Journal of Database Management Systems (IJDMS)
Machine Learning and Applications: An International Journal (MLAIJ)
Advances in Vision Computing: An International Journal (AVC)
International Journal of Grid Computing & Applications (IJGCA)
Information Technology in Industry (ITII)New- ESCI(WOS) Indexed
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library
Speakers
Priyanka Addagudi
StFrancis Xavier University, Canada
Luo Ning
Intel Asia-Pacific Research & Development Ltd, China
Kunhao Li
State Key Laboratory of Software Development Environment, China
Mathieu Febvay
Université de Lyon,
France
Meghashyam Ashwathnarayan
Infineon Technologies Pvt Ltd, India
Linlin Zhang
Intel Asia-Pacific Research & Development Ltd,
China
Yosi Ben Asher
University of Haifa, Israel
Prasang Gupta
PwCUS, India
Yang Liu
The George Washington University, USA
Yuting Xue
Xidian University,
China
Chun-Hsien Lin
National Taiwan University,
Taiwan
Lea Matlekovic
University of Southern Denmark,
Denmark
Hazirah Bee Yusof Ali
International Islamic University Malaysia, Malaysia
Magne Jørgensen
Simula Metropolitan Center for Digital Engineering, Norway
Qinglin He
Shanghai University,
China
Hristo Petkov
University of Strathclyde
United Kingdom
Yuan Shi
Beijing Institute of Technology
China
Karuppiah Aravindhan
Texas Instruments India Ltd,
India
Mridula Prakash
Department of Chief Technology Officer, India
Srishti Mehra
University of California Berkeley, USA
Iftikha U Sikder
Cleveland State University,
USA
Dodo Khan
UniversitiTeknologi PETRONAS, Malaysia
Xiangyu Xia
Beijing City University,
China
David Noever
PeopleTec, Inc.,
USA
Baskaran Chidambaram
Texas Instruments India Ltd, India
Pawan Nayak
Texas Instruments India Ltd, India
Yahya Ali Aseri
King Khalid University, Saudi Arabia
Contact