Computer Sciences and Information Technology

The aim of the training programme is to expose the awareness among the participants about the applications of Bioinformatics in agriculture and to demonstrate applications of bioinformatics in agriculture through hands on session.

The aim of the training programme is to familiarize the participants with the basics of experimental designs and their applications to their respective fields.

The workshop aims to capitalize human resources to carry out NGS & Metagenome analysis, carry out high throughput research using genomic tools to foster trans-disciplinary dialogues in functional genomics.

The objective of this course is to familiarise the participants with the recent trends in analysis, design and testing of power transmission and communication structures and provide knowledge of advanced topics, e.g. probabilistic design concepts, structural health monitoring, forensic analysis, advanced materials, repair and retrofitting techniques, etc.

The conference focuses on the applications of Machine Learning, Artificial Intelligence and other methods of Data Analysis in all areas of Science and Engineering including, but not limited to, Chemistry, Biology, Physics, Environment, Electrical Engineering, Chemical Engineering, Economics and Social Sciences.

The proposed training programme aims at educating about various existing statistical models and machine learning techniques for modeling and forecasting agricultural data.

The aim of the winter school is to provide training in analyzing agricultural data using advances in statistical techniques and acquainting the participants about different statistical software packages.

The training programme aims to facilitate the exchange and dissemination of ideas among the faculties of Science, Technology and Engineering stream about new contemporary development in the domain of Robotics, collaborative workspace, COBOTS and advanced manufacturing technology in general and in particular among industry people.

The aim of the workshop is to train the participants in basics of data science to deepen the understanding and enhance the skills in research work.

The aim of the conference is to highlight the latest advances, problems and challenges and to present the latest research results in the field of soft computing with a link to scientific research and its practical implementation.