Bilal M Khan

My research and development interests are currently focused on solving challenging problems in diverse applications including Nanotechnology, environmental risk assessment, water treatment and efficient driving environments via advanced computer vision, data mining and machine learning techniques. Most recently, I have applied computer vision techniques to develop new technology for the water and power industry. At UCLA, I developed an innovative decision support system that assesses the impact of nanomaterials on the environment and human health (https://nanoinfo.org). I have also taught courses on fundamentals of chemical engineering principles, computer communications and networks, internet security and protocols, mobile application development, data science, computational modeling and simulation techniques.

I am passionate about finding data driven solutions and harnessing technology to solve tough problems. As an accomplished academic, researcher and project manager, I have led diverse teams of individuals with varying experience and skills. I enjoy mentoring new data scientists and developers to help them reach their potential in a collaborative work environment.

I have substantial experience with the application of advanced artificial intelligence techniques in various funded projects. Major applications are based on Deep learning, Bayesian networks, image processing, self organizing maps (SOMs), hierarchical clustering, neural networks, regression analysis, regression/classification trees, and multidimensional scaling.