Charlotte Pelletier

Weight loss could result from a number of reasons, water loss, muscle degradation, and you need to be certain that you're gaining muscles and losing body fats. During the challenge you're going to be educated in how to eat and exercise to make the most of your weight loss and you're going to be inspired to adhere to your plan. Weight loss is one thing which can greatly enhance the way that people feel about themselves which improves performance. When others notice your successful weight reduction, it provides you an excellent sense of achievement.

Many heeded the challenge to create fantastic changes in their way of life and be in a position to live much healthier and fitter body throughout the course of their life. Before you set out your weight-loss challenge, you must understand three important keys. Our Weight Loss Challenge makes it possible to get fit, shed weight and adopt wholesome eating and exercise habits. It delivers the perfect combination of the two in a positive, energetic environment that has been proven to get you the results you want. The greatest weight-loss challenge operates by motivating people to shed weight through competition.

In case the Challenge included group fitness programs make sure that they are accessible for all exercise levels. The next thing which you are able to do is to join a weight reduction challenge. A successful weight reduction challenge is one which is intended to support your aims and that empowers you to create adjustments to your way of life and habits.

Charlotte Pelletier


Charlotte Pelletier is an assistant professor in computer science at the University of Southern Brittany, Vannes, Frances. She conducts her research in Obelix team at the Institute for Research in IT and Random Systems (IRISA), Vannes, France. Her research focuses on machine learning, in particular time series analysis with applications in remote sensing. From January 2018 to  september 2019, she was a research fellow at the Faculty of Information Technology, Monash University, Melbourne, Australia. During her postdoctoral, she proposed and developed accurate and scalable time series classification algorithms. In December 2017, she completed her Ph.D. with the French Space Agency (CNES) and the French Mapping Agency (IGN), at CESBIO laboratory in Toulouse (France). Her Ph.D work aimed at improving the classification of new high resolution satellite image time series, such as the one produced by Sentinel-2 satellites. This work has been awarded best PhD in Science by the Académie des Sciences of Toulouse in 2018. In 2014, she received an electrical engineering degree from ENSEIRB-MATMECA/INP in Bordeaux (France) and a Master degree from Université Bordeaux (France).

All sessions by Charlotte Pelletier