Post-Doctoral
Atomistic Simulations of Materials
The focus of the workshop will be on the atomistic simulations of point, line, and planar defects, and study of elastic and plastic deformation properties in metallic materials. Knowledge of crystallographic structure and properties is a pre-requisite. The workhorse techniques of molecular statics (MS) and molecular dynamics (MD) will be covered in sufficient detail.
Machine Learning for Engineering Applications
The aim of the course is to introduce the relevance of machine learning in a wide range of academic and industrial problems relevant to various engineering disciplines. Topics of the sessions will include the basics of widely used algorithms for linear and non-linear regressions such as elastic net, principal component regression, support vector machine, and neural networks.
Structural integrity and reliability
This programme is based on applications of life predication and reliability of structural components under service conditions.
Seabuckthorn: Translating Research Into Sustainable Utilization & Conservation
The aim of the conference is to share, exchange and update progress of Seabuckthorn research, to showcase new products, processes & technologies, to promote communication among stakeholders, scientists, researchers, industries & farmers.
Seabuckthorn- Genomics, Proteomics & Metabolomics
The aim of the workshop is to train young scientists and research scholars with basic techniques of Seabuckthorn genomics, proteomics & metabolomics which includes Protein extraction from leaf and berry of Seabuckthorn followed by protein resolution on 1D & 2D PAGE, Visualization of polypeptides observed by staining followed by spot picking & trypsinization, Demonstration of instrument setup/working for Seabuckthorn antifreeze proteins activity analysis, Preparation and GC-MS analysis of fatty acid methyl esters from leaf/berry/seed and study of floral development and gender in
Robotics
This course is designed to provide an exposure to the fundamentals of Robotics and Artificial Intelligence. Participants will learn kinematics and dynamics of industrial manipulators, Human Gait Analysis as Biometric Identification and walking pattern generation, Humanoid robot walking trajectories generation, kinematics of mobile robots, trajectory planning, path planning and control and how to embed intelligence in robotic tasks.
Digital Microfluidics: Design & Applications
The course objective is to provide the participants with today’s detailed knowledge on the physics of drops in the context of digital microfluidics, the most updated methods for fabrication and design of digital microfluidics devices and overview of application areas as it relates to mechanical, chemical and biological systems for advanced technological and industrial areas.
Deep Learning, Artificial Intelligence and Robotics
The aim of the conference is to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next generation computational models for machine intelligence.
Power Systems
ICPS 2019 aims to reflect Power & Energy Engineering domain and will serve as a forum where researchers, academicians, industry personnel, and scientists can present their original research, exchange ideas and promote networking for scientific & industrial collaboration. The tutorials on the relevant topics, keynotes by eminent persons, panel discussion, paper & poster presentations, and opportunities for industry/trade exhibits.
Water So Common, So Mysterious By: Richard N Zare, Stanford University, California
The lecture aims to emphasise the odd world of water microdroplet chemistry, which is of immense practical applications.
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