There is a large availability of various types of sensors at considerably cheaper prices. These sensors generate vast amounts of data – could be scalar (temperature, luminosity, humidity, pressure, etc) or vector (image, video). Computational power is also widely accessible through mobile phones -almost all of the common computation is possible on mobile phones.
The generated heterogeneous data requires processing and extraction of intelligence to make sense from the data. This is also further accelerated by communication technology and connectivity (among humans, machines and systems), leading to Internet of Things.
Towards this development, big data analytics, machine learning, artificial intelligence and deep learning have gained popularity to provide meaningful and insightful information in an intelligent way.
My research interests intersects various aspects of Computer Vision, Machine Learning and IoT in sensing, signal processing, computation, analytics, and decision-making algorithms.