• Lead a team of engineers in the development and deployment of an advanced perception system for a 200-ton autonomous haulage truck, enabling safe and efficient operation in an open-pit production mine

• Design and implement perception algorithms for accurate detection and volumetric estimation of stockpiles, enabling efficient Autonomous Dozer operations in a dynamic construction site environment

• Design software architecture for a Drive-By-Wire (DBW) interface, enabling seamless electronic control and enhanced vehicle responsiveness for autonomous systems

• Develop and deploy production-grade, safety-critical software for autonomous driving systems, ensuring rigorous compliance with industry standards and high-reliability requirements for real-world applications

• Partner with localization and planning teams to conduct system-level integration testing and validation, ensuring seamless interoperability and reliability across autonomous driving subsystems

• Collaborate with mechanical engineering team to design and implement sensor placement and mounting solutions, enhancing accuracy, reliability, and robustness of perception systems in demanding operational environments

• Develop image processing algorithms for a compact cone-beam CT scanner for improved brain soft-tissue contrast in CT images.

• Develop and validate advanced CT data correction algorithms, such as beam hardening correction, scatter correction, ring removal, cupping correction, etc.

• Evaluate CT system performance and perform quantitative image assessment.

• Analyze new physical models and image reconstruction algorithms for novel, compact cone-beam CT systems, utilizing x-ray physics, x-ray detection and statistical estimation theories and models.

• Design and run x-ray test-bed experiments to analyze fast scattered radiation estimation.

• Provide expertise in the area of image quality and modeling optimization for CT scanners and related systems.