Title:  Application of machine learning for signal analysis

Speaker:  Dr. Moumita Roy IIIT Guwahati


In the recent trend, due to the availability of huge amounts of data on a day-by-day basis, data-driven AI is becoming a major tool for facilitating various applications like agriculture monitoring, forest alert systems, space weather prediction, medical image processing, etc. Furthermore, there are some applications like audio processing, structural damage detection, biomedical signal processing, etc. where the inputs have been considered in the form of signals. In this direction, presently, our team is working in the domain of structural health monitoring (SHM) by considering data coming from the measurements of the different sensors (placed on the structure) like vibration (accelerometer) sensors, stress sensors, temperature sensors, etc. In this talk, the utilization of different deep learning models for predicting the structural health classes will be addressed. Such automatic techniques not only reduce human efforts of visual inspection but also open a new era of research in SHM by timely monitoring of lifeline structures.


Dr. Roy is presently working as an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati. She joined IIITG in September 2014. She has received M.E and Ph.D. degrees in Computer Science and Engineering from IIEST, Shibpur and Jadavpur University, Kolkata (in external collaboration with ISI, Kolkata) in 2009 and 2015, respectively. She also carried out her research work as a visiting scholar at the University of Trento, Italy from 2013-2014. Her broad research interests include artificial intelligence, machine learning, image/signal analysis. More specifically, she is currently working on the domain related to the application of artificial intelligence/machine learning in remote sensing and structural health monitoring. She has published more than 30 research papers in internationally reputed journals and refereed conferences. She has also handled sponsored projects in the domain of applied remote sensing and structural health monitoring.