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Phd proposal presentation

I am an phd proposal presentation, academic, and serial entrepreneur with a passion for creating and fostering innovative new ideas and growing them into sustainable businesses.

My goal is to bring 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. I research the Internet of Things, pervasive sensing, autonomous vehicles, AI, and cybersecurity. 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.

Developing the complete lecture and lab content for a week-long, intensive Internet of Things course. Submitted five new manuscripts for consideration, since starting as a postdoctoral associate in June. These relate to the Internet of Things, network device security, connected vehicle design considerations, and data-informed applications for improving vehicle efficiency and reliability. One of my current students is building an intelligent, Internet-connected circuit breaker.

Another is building low-cost phd proposal presentation-laden machine tools capable of identifying failures, tool wear, and material inconsistencies. The company has a focus on embedded hardware and software, web applications, and intelligent IoT platform design, as well as vehicle reverse engineering and security analysis. Engineering and business lead, participating in hardware and architecture development. Created an architecture reducing resource use and enhancing security for constrained connected devices. Supported by DOT and NSF funded research project with focus on multimodal transit.

English dissertation

Chapters of a dissertation,Apa the owl,Business plan for an it company,
Served clients individually and in the context of academia and industry. D, rapid prototyping of MVP and related DFM, subcontractor selection, vehicle reverse engineering, mobile app development, and microcontroller software development. EURECOM Summer School, «Highly Autonomous Driving in the Internet of Things. Remotely Reconfigurable Vehicle Telemetry System and Supporting Applications.

Papers For up-to-date citation counts, try my Google Scholar page. Data Proxies, the Cognitive Layer, and Application Locality: Enablers of Cloud-Connected Vehicles and Next-Generation Internet of Things» PhD Dissertation. Siegel, Joshua, «Design, Development, and Validation of a Remotely Reconfigurable Vehicle Telemetry System for Consumer and Government Applications,» S. Development of an Internet of Things enabled manufacturing system for tool wear characterization. Proceedings of IEEE International Symposium on Robotics and Manufacturing Automation 2017. Engine Misfire Detection With Pervasive Mobile Audio. Smartphone-Based Vehicular Tire Pressure and Condition Monitoring.

Proceedings of SAI Intelligent Systems 2016. Paper invited for submission into Special Issue Journal. Design Of A Clutch-Less Hybrid Transmission For A High-Performance Vehicle. Computers and Information in Engineering Conference. Sarma, «The Future Internet of Things: Secure, Efficient, and Model-Based,» Early Access.

Sarma, «Air Filter Particulate Loading Detection using Smartphone Audio and Optimized Ensemble Classification,» November 2017. Sarma, «A Survey of the Connected Vehicle Landscape — Architecture, Enabling Technologies, Applications, and Development Areas,» Early Access. IEEE Transactions on Intelligent Transportation Systems Journal. IEEE Transactions on Intelligent Transportation Systems Magazine.

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