Nisha Lakshmana Raichur

Wissenschaftlicher Mitarbeiterin bei Fraunhofer IIS. AI/ML Researcher specializing in Deep Learning for Positioning, ML Forecasting, Multi-Modality Fusion and Continual Learning.

Deep Multimodal Information Fusion for Self-Localization of Pedestrians based on Images and IMU Sensors: Using Deep Learning based approaches, e.g., Convolutional Neural Networks (CNNs) or Recurrent Neural Networks(RNNs) , to extract features from the IMU signal and the image input. The focus is on the research of an optimal fusion algorithm of the extracted features.

+Time series Crypto data analysis and predictions using Machine learning techniques. +Loading and preparing the data for analysis +Automate data preparation for the Market analysis in Python