At the control and optimization group, we engage in formulating, modeling, solving and implementing solutions to problems arising in the broad areas of control theory, dynamical systems and optimization. We always are hungry to learn and create newer mathematical techniques and state-of-the-art computational and technological applications cutting across multiple disciplines that not only include traditional grounds like mechanical/electrical engineering and computing but also in newer emerging platforms like systems biology, complex networks, learning and data science. We also make connections across disciplines to enrich  understanding and transferring techniques from one area to another. Students get exposed on a regular basis to national and international level workshops, seminars and conferences where they get to network with people from a wide spectrum of backgrounds. The students get the freedom and guidance to walk along uncharted academic territories and have a healthy atmosphere that fosters productivity and holistic skill development.