Rosalinda Biasotti
About Rosalinda Biasotti
• Has been engaged in research on key interdisciplinary technologies (artificial intelligence, machine learning, telecommunications) for a long time, and can carry out scientific research work independently. • Strong innovation ability, and in-depth understanding of future network integration, new network architecture design, and complex network dynamics. • I am proficient in heterogeneous network modeling and have done in-depth research on intelligent optimization, blockchain, edge computing, and data security-related algorithms. • I have a deep research on supervised and unsupervised machine learning algorithms, a deep understanding of the classical machine learning algorithm structure. • Expertise in SQL, knowledge of Spark and cloud data environments. • Proven understanding and experience of distributed computing architecture. • Experience with predictive modeling and machine learning (mainly for deep learning, deep reinforcement learning, CNN, and traditional deep neural networks) forecasting. • Familiar with multiple computing and simulation platforms, proficient in TensorFlow, C/C++, Solidity (Ethereum), OPNET, and Matlab.