I am a full time Professor and currently
serving as the department head of
Computational Engineering and Networking (CEN), Coimbatore Campus, India. I have directed several M.Tech theses and
Ph.D dissertations at Amrita University.
My research interests are Software Defined Radio, Statistical Digital Signal Processing (DSP) on Field Programmable Gate Array (FPGA), Wireless Sensor Networks (WSN), High Performance Computing, Machine learning using Support Vector Machines, Signal Processing and Wavelets & Fractals.
Links: DBLP, Google Scholar
Advancements in computing systems ranging from tiny embedded devices to more powerful data centers hosted in the cloud leading to the Internet of Things have gained increasing significance due to their real-time communication and decision making capabilities. These systems have been widely deployed in a multitude of application domains such as Smart home, Industrial Automation, Smart Healthcare, Automotive and transportation. Security is a significant concern due to the ubiquitous nature of these systems. The field of Machine learning has seen a phenomenal impact over the last decade due to the ability of large-scale systems to learn from petabytes of data for prediction and classification purposes. However, application of machine learning for cybersecurity has received little attention due to the decreased availability of datasets pertaining to malicious activities. This course aims to bridge the gap between machine learning and cybersecurity enthusiasts by applying machine learning for cybersecurity analytics. In particular, supervised and unsupervised learning based techniques will be examined and its applications to problems in cybersecurity will be discussed. This course is catered towards undergraduate/graduate students and professionals working in government organizations, companies and research laboratories.