* Manage and lead a team of engineers to develop SAE Level 4 Autonomous Driving Systems (ADS) technology using systems engineering.* Provide leadership to a team of Functional Safety engineers to support ADS technology development.* Provide technical leadership for development and implementation of Motion Control system in test vehicle.

* Developing Operational Concepts, Measures of Effectiveness and System Requirements Specification for SAE Level 4 autonomous vehicle. * Developing design metrics to perform quantitative analysis and measuring performance of Perception, Localization, Motion Planning and Motion Control subsystems.* Provide technical lead for analyzing performance of motion control algorithm for SAE Level 4 autonomous test vehicle. Developing simulation platform and vehicle testing of motion control software.

* Developed a novel technology for generating dynamically feasible trajectory with an application to autonomous vehicles. Key contribution involves effectively merging model predictive control and potential field theory to generate path planning algorithm using Python.* Developed an innovative technology to adapt a fixed-wing aircraft inertial navigation system for rotorcraft applications, thus enabling adjacent market opportunities. Key contribution involves development of an algorithm for adaptively pre-filtering rotor vibration data from inertial measurements and enabling use of existing software.* Developed a new capability for airspeed estimation using control surface actuation signals and aircraft dynamics. Enables independent fault monitoring of traditional Pitot-tube based air data systems. Research was funded by Honeywell’s Grant for Innovation and Growth. Received the best paper award in Digital Avionics Systems Conference, Syracuse, NY, 2013. * Technical lead for business plan and product concept development to provide guidance, navigation and controls capability for tactical UAVs. Developed a product hierarchy to satisfy widely distributed size, weight, power and cost constraints. Performed technology feasibility study for camera-based navigation for both air and ground vehicles using real images. * Developed a multi sensor multiple target tracking algorithm for a high-fidelity simulation in Matlab/Simulink for UAV application. Enabled multi-year contract from NASA. Key challenge involved fusion of multiple sensors from cooperative and non-cooperative aircrafts.

* Program Manager and Principal Investigator in charge of planning, leading and executing $1M program for 3 years sponsored by NASA. Key technical contributions involved development of a new theoretical paradigm for showing guaranteed performance of a nonlinear adaptive control system.* Provided technical leadership to a globally distributed team of 3-4 engineers for development and implementation of collision detection algorithms for passenger cars using radars and camera. Key contributions involved on-site testing of algorithms using Matlab-Simulink / dSpace software and hardware, compliance to requirements document and coding guidelines, and managing customer expectations.

* Key technical contributor for a NASA sponsored multi‐year program for developing an aircraft online failure detection and accommodation system. Proposed a unique fault detection algorithm which provides explicit performance guarantees based on statistical‐learning theory.* Extensively worked on developing an innovative vision‐based control system. Key contribution involved developing a novel steering control algorithm based on real‐time edge detection and successfully demonstrating on actual hardware platform.* Provided technical leadership for development and implementation of collision detection algorithms for passenger cars using radars and camera.* Provided training to globally distributed engineering teams.

* Developed Matlab and AMPL based user-interface for conflict resolution of multiple aircrafts by solving a nonlinear model predictive control problem (NMPC).* Performed flight control analysis of adaptive control algorithm designed for high‐performance maneuvers of Yamaha R‐Max helicopter developed by Georgia‐Tech (DARPA project).* Developed algorithms for predictive trending of failures in turbofan engines.* Key contributor in developing and implementing model predictive control laws for coordinated control of Uninhabited Air Vehicles (UAVs) with communication and processing power limitations.