I am an inventor, academic, and serial entrepreneur with a passion for creating and fostering innovative new ideas and growing them into sustainable businesses. My goal is to intro S.J. – Esp the best technology to fruition and to help engineers and developers make a living doing what they love.
My research and commercialization focus is on building smart technologies for a changing world through the thoughtful application of sensing, connectivity, inference, and actuation. In my academic pursuits, I help my students invent disruptive technologies and learn to become leaders and practitioners in emerging industries. For a more visual overview of my projects, please see my design portfolio. The latest print version of my Curriculum Vitae is available as a PDF and up-to-date citation counts are available from my Google Scholar page. Research Interests: Automotive, Internet of Things, design, manufacturing, networks, sensing, machine learning, robotics, security, energy efficiency, embedded systems, entrepreneurship. I worked with Professor Sanjay Sarma and the members of the Field Intelligence Laboratory, researching vehicle prognostics, sensors, data mining, and Internet of Things architecture. Much of my research related to the value in open data standards, data interoperability, and the use of machine learning to optimize vehicle efficiency, performance, and reliability.
Mechanical Engineering, continuing in the Field Intelligence Lab under the supervision of Professor Sanjay Sarma. Addressed accuracy and privacy concerns for aforementioned technologies, including development of anti-spoofing technology for vehicle data collection systems. Currently supervising several student researchers with projects focused on the Internet of Things, pervasive sensing, and data analytics. D work to apply pervasive mobile phone sensing for the proactive detection of vehicle faults.
Early detection of vehicle failures allows simplified response with reduced cost, and assures increased vehicle lifetime efficiency. I lead a team of researchers and businesspeople to identify and address the most significant in non-OBD vehicle diagnostics. I research context- and cognition-based secure and efficient architectures for the Internet of Things, as well as the application of pervasively-sensed data to vehicle failure prediction and design optimization. These architectures will allow more devices to be connected to the Internet, facilitating the richer data generation, sharing, and analytics necessary to build intelligent devices.