Gourishetti, Saichand

Mr. Saichand Gourishetti obtained his master’s degree from the University of Rostock in computational science and engineering 2019 with a specialization in electrical engineering. During his studies, he worked on various machine learning projects such as image recognition, text classification and Twitter sentiment analysis. In his master thesis, he investigated how neural networks can be optimized for real-time keyword detection on resource-constrained devices such as microcontrollers. Since he started working for Fraunhofer IDMT in 2020, Mr. Gourishetti has been involved with research on audio representations, neural networks optimization, and model compression. He is currently working on industrial media applications, where his tasks include requirements analysis, data acquisition, explorative data analysis, algorithm development, optimization, and evaluation. He published several conference papers related to acoustic event detection, acoustic scene classification in the context of industrial sound analysis and started his PhD in early 2021 focusing on AI-driven acoustic monitoring to detect partial discharges in various high voltage electrical systems and also semi-conductor power modules.