The 1st International conference on Applied Machine Learning(ICAML2019) will be organized by Siksha ‘O’ Anusandhan Deemed to be University during September 27-28, 2019 in Bhubaneswar, Odisha, India.

Machine learning is a multidisciplinary intersectional area that includes field of computer science, artificial intelligence, statistics and operation research etc. The objective of machine learning is to understand the structure of data and fit that data into models that can be understood and utilized by people. Machine Learning facilitates computers in building models from sample data in order to automate decision-making processes based on data inputs. Currently Machine Learning techniques are very much useful in research work to improve efficiency, speed and accuracy of outcomes in the presence of large scale data. The continuous development of machine learning tools and techniques is responsible for understanding the non-linearity existing in the data, extracting several features, finding hidden patterns in data, classifying data into labels and so on. This has led to the tremendous advancement and spread in applications ranging from personalized product recommendations to speech recognition in cell phones; from predictive analytics to security applications that leverage machine learning for implementing filters and safe guards against new threats; from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn users' interests. It also innovatively powers various application sectors such as manufacturing, retail, healthcare, finance, travel, hospitality, science and engineering etc.

The International Conference on Applied Machine Learning is designed to gather the community to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets.

Topics of Interest


  • Machine Learning (plus its applications such as for Chatbots, Robotics, Social Networks, Fault Detection, Predictive Maintenance, Life Sciences, Neurosciences …) applied on semantic data management structures;

  • Data Science (including Visual Analytics, Large-Scale Data Processing, and Network Analytics);


Call for Submissions


We invite submission of original and un-published research papers and case-studies on machine learning applied to problems in adaptation, or modeling, climate mitigation, data presentation and management and etc including but not limited to the following topics:
The conference proceedings will be published in IEEE Xplore Digital Library.


  • State-of-the-art Data Management solutions for Machine Learning applications;

  • Artificial Intelligence;

  • Deep Learning;

  • Cognitive Computing;

  • Image Analysis;

  • Text Analytics;

  • Speech Recognition;

  • Natural Language Processing;

  • Cyber and Cloud Security;

  • Industry 4.0;

  • Internet of Things;

  • Manufacturing and retail Sector: Operational Issues & Challenges;

  • Financial Analytics;

  • Revenue Management;

  • Health Sector Services;

  • Marketing Operations & Efficiency Measures;

  • Public Systems operations management;

  • Systems Studies;

  • Coastal-zone Management: best practices & operational issues;

  • Applications of Mathematical & Statistical Models;

  • Power generation and grids;

  • Smart buildings and cities;

  • Industrial optimization;

  • Agriculture, forestry and other land use;

  • Disaster management and relief;

  • Ecosystems and natural resources;

  • Extreme weather events;

  • Data and voice communication;


       [Above list is just indicative, not exhaustive.]



Important Note

Conference Website


Paper to be submitted at

Easy Chair

Paper submission by

30th June 2019 Date extended to 25th July 2019

For any quries contact

Mobile#:+917978452849 / +919937959873

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