Areas of Expertise• Advanced Vehicle Health - Lead the growth in Vehicle Health Monitoring to improve customer experience, deliver connected prognostics to provide early vehicle health alerts, improve connected vehicle diagnostics, and reduce vehicle down-time (Support 100% Up-time Strategy). Collaborate and support a global cross-functional team within the enterprise organize, accelerate, and develop the Company’s strategy around connected diagnostics/prognostics (D&P). Engage in research to develop advanced D&P methods combining Machine Learning & Model-Based Algorithms and big data analytics.• Applied Controls & Connectivity - Develop and apply advanced controls and AI-based decision-making methods with strong focus on areas of connectivity, data analytics and optimization for driver assistance technologies and next generation propulsion systems. Develop connectivity-enabled features and experiences aligned with strategic priorities. Develop generic adaptive/optimal control methods for propulsion, DAT and connectivity-based applications. Develop data driven and advanced control methods and processes for enterprise efficiency• Modern Control Methods & Applications - Identify high-potential controls research and explore collaboration and partnerships with universities and suppliers. Deliver compelling solutions in advanced controls and D&P across Propulsion, Chassis, DAT, AV, & Robotics. Strengthen expertise in AI/ML and nonlinear/optimal/ predictive control & explore interdisciplinary methods. Leverage emerging tech trends in connected & electrified vehicles, new compute, and big data for analytics and real-time controls.• Controls Technology Innovation - Develop & foster controls related technologies with complex interactions across multiple disciplines. Create and deliver high-value technology roadmap aligned with corporate priorities and product strategy. Collaborate w/ suppliers & universities to identify and develop innovative technologies.

Research & Advanced Engineering – Modern Control Methods & Computational Intelligence: Develop advanced diagnostics and prognostics (D&P) technologies to support a customer centric approach, effect continuous product safety and reliability improvements, perform conditional maintenance that anticipates and prevents vehicle and sensors (radar, cameras, etc.) failures especially for Autonomous Vehicles applications. In addition, develop and implement robust model-based control & diagnostics strategies for Powertrain & After-treatment (three-way-catalyst & exhaust sensors) systems for fuel economy optimization and low emissions (PZEV & LEV III). Skills, Expertise, & ToolsExtreme knowledge in advanced analytical and computational methods that are suitable and applicable to many control / D&P features of Vehicle & Powertrain Systems as well as Autonomous Vehicles systems and sub-systems. These methods include but not limited to:• Advanced machine learning methods of data mining (association rules, support vector machines, etc.) which provide a scientific way of accessing, exploring, analyzing, and visualizing data. • Support vector machines (SVM) , Clustering techniques for anomaly detection. Evolvable Clusters & Models (ECM). Novelty Detection. Fuzzy Systems & Neural Networks.• Model-Based Control & System Engineering• System Identification Adaptive Controls – this is critical to maintain the performance of the physical system operation usually associated with varying dynamics either due to changing operating conditions or to presence of failures. Kalman Filters & Extended Kalman Filters coupled with adaptive control to identify system states or unknown parameters for diagnostics. • Automated Parameters Calibration & Optimization –Automating model parameter identification and optimization could be achieved using methods such as regression, Genetic algorithm, and non-linear constrained optimization.

Advanced skills and experiences in developing holistic vehicle/system health strategies by combining advance control methodologies with information synthetize to deliver: 1. Diagnostic functions2. Prognostic functions3. Automated inspections4. Anomaly detection5. System lifespan requirements6. Safety FunctionsDevelop advance diagnostics and prognostics (D&P) technologies and methods to provide systems with intelligent and reliable capabilities to assess the presence, location and severity of a fault (of faults), as well as, the ability of the system to retain robust and reliable functionality in the presence of failures.Combining advances in D&P technologies with self-tuning adaptive controllers to identify the root causes of failures, reconfigure and adapt the controller structure, and target the adaptation process on the region relevant to the problem root cause. Utilizing these methodologies to monitor and probe in real-time, the health of the vehicle and sensors to improve:1. The performance and reliability/accuracy of relevant features at the vehicle and system level as well. 2. Customers’ opinions of their vehicle and reducing the warranty expenses.

Teach graduate course in Controls (Linear & Nonlinear control systems) - Electrical Engineering Department.

Teach graduate courses in the Mechanical Engineering Department.

The Weill Cornell Medical College in Qatar is a branch campus of the Weill Cornell Medical College in NY and part of Cornell University.