Important Dates


  • Abstract submission: 1st February 2022 / 28th February 2022
  • Authors Notification (Abstract): 6th March 2022
  • Paper Submission: 20th March 2022
  • Authors Notification (Paper): 17th April 2022
  • The final version of your paper: 30th April 2022
  • Registration (Payment) : 27th April 2022

Abstracts only

  • Abstract Submission: 1st February 2022 / 28th February 2022
  • Authors Notification: 6th March 2022
  • The final version of your abstract: 20th March 2022
  • Registration (Payment) : 31th March 2022

Conference venue

21-31 May 2022, Istanbul, Turkey (*)

Nişantaşı University, Istanbul Turkey

Address : Maslak Mahalesi, Taşyoncası Sokak, No: 1V ve No:1Y Sarıyer-İSTANBUL

Accommodation: Grand Yavuz Hotel

Address : Emin Sinan, Piyer Loti Cd. No:51, 34126 Fatih/İstanbul, Türkiye

Instagram: grandyavuzhotel

(*) Plenary conferences, communication sessions, workshops and seminars will be organized in hybrid mode (online and face-to-face). Depending on the sanitary situation, if any constraints we will switch to online mode


The 3rd edition of the International Conference on Big data and Machine learning (BML’22) is a major point of contact between researchers, engineers and practitioners in the areas of Big data, Machine learning and Artificial Intelligence both from theoretical and application perspectives. Contributions describing real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Bigdata and Machine Learning are especially encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions. Special sessions, dedicated to case studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.
We invite all speakers and participants to present their research and/or experiences to the BML’22 according to the topics below:

Each of the topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:



  • Big Data Models and Algorithms
  • Big Data Architectures
  • Big Data Management
  • Big Data Security and Privacy
  • Big Data in Smart Cities
  • Big Data for Enterprise, Government and Society
  • Big Data Search and Mining Algorithms and Systems


  • Data Mining and Machine Learning Tools
  • Machine Learning Applications
  • Machine Learning Methods and analysis
  • Statistical Learning
  • Deep Learning
  • Reinforcement Learning
  • Bayesian Networks
  • Support Vector Machines
  • Text, Voice and Multimedia Mining
  • Feature Extraction and Classification
  • Distributed and Parallel Learning Algorithms and Applications
  • Natural Language Processing
  • Neural Networks
  • Convolutional Neural Networks
  • Decision Support Systems
  • Deep Learning and Big Data Analytics


  • Ant Colony Optimization
  • Approximate Reasoning
  • Artificial Immune Systems
  • Artificial Intelligence in Modeling and Simulation
  • Artificial Intelligence in Scheduling and Optimization
  • Artificial Life
  • Brain-Machine Interfaces
  • Cognitive Systems and Applications
  • Computer Vision
  • Differential Evolution
  • Evolutionary Design and Scheduling
  • Agent-based Systems, Expert Systems and Multi-Agent Systems
  • Fuzzy Decision Making and Decision Support Systems
  • Fuzzy Logic and Fuzzy Set Theory
  • Fuzzy Optimization and Design
  • Fuzzy Pattern Recognition
  • Game Theory
  • Hardware Implementations
  • Human–Computer Interaction
  • Modeling and Identification
  • Molecular and Quantum Computing
  • Web Intelligence

Organizers  The 3rd International Conference on Big Data and Machine learning (BML’22) is organized by the Moroccan Association of Applied Sciences and Innovation (MAASI), as a part of 2nd Moroccan Applied Sciences Week.


All accepted complete papers will be published in the conference proceedings, under an ISBN reference.

Proceedings will be submitted for possible indexation by:

The 4th International Conference on Biological Science (2015) | KnE Life SciencesWeb of Science / Conference Proceedings Citation IndexGoogle ScholarSemantic ScholarMicrosoft Academic

  • Best papers from this conference will be invited by the committee to submit an extended version of their paper (12 pages minimum)  to the Journals or Book Chapters, more details on the publication page

Submission and Peer review process
Authors can submit their work in the form of a complete paper (3-6 pages maximum) or an abstract (1 page), but please note that accepted abstracts are presented but not published in the proceedings of the conference. Authors should submit a paper in English, carefully check for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution and the problems, domains or environments to which it is applicable.
To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgements section of the paper and any other reference that may disclose the authors’ identity. When submitting a complete paper please note that only original papers should be submitted. Authors are advised to read MAASI ethical norms regarding plagiarism and self-plagiarism. Papers that contain any form of plagiarism will be rejected without reviews.
All papers must be submitted through the online submission platform Easychair :, and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.
Plagiarism Prevention
BML’22 uses Turnitin software to detect instances of overlapping and similar text in submitted manuscripts. Turnitin software checks content against a database of periodicals, the Internet, and a comprehensive article database.
Grammar Check
BML’22 uses Grammarly to check the manuscripts for Grammar, any manuscript with a high rate of grammar imperfection will be not taken into consideration.