Da Huo Email & Phone Number

San Mateo, CA, US

Atlanta

Master of Science in Computer ScienceSpecialization: Machine Learning

Chicago, Illinois, United States

Hydrogen Fuel Cell Stack modeling, control, and real-time thermal management.Best Paper Award at MECC2023.Recognized as Rising Star at MECC2023.Publications:* Huo, D., Adunyah, A. and Hall, C.M., 2024. Real-Time Application of Koopman-Based Optimal Control Strategies for Fuel Cell Stack Thermal Management. Elsevier Control Engineering Practice 2024 (Under.

Chicago, Illinois, United States

Power train architecture design.System integrations.

Blacksburg, Virginia, United States

• Conducted and performed a series of tests for autonomous heavy-duty trucks (Close-course test and public road test)
• Collected, processed, and analyzed the test data for further control algorithms evaluation and optimization.
• Conducted failure analysis and developed effective solutions.
• Developed automation fast test result analysis tools in Python for closed-course and public road.
• Platform Agnostic Test Case (PATC) derivation through JAMA.
• SiL vadility analysis.

Chicago, Illinois, United States

• 1. Research: Air Handling Control for A Internal Combustion Engine2. Publications:
• Peng, Q., Huo, D. and Hall, C.M., 2022. Neural network-based air handling control for modern diesel engines. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.
• Peng, Q., Huo, D. and Hall, C.M., 2022, June. A Comparison of Neural Network-Based Strategies for Diesel Engine Air Handling Control. In 2022 American Control Conference… Show more 1. Research: Air Handling Control for.
• Peng, Q., Huo, D. and Hall, C.M., 2022, June. A Comparison of Neural Network-Based Strategies for Diesel Engine Air Handling Control. In 2022 American Control Conference (ACC) (pp. 3031-3037). IEEE.3. Teaching.

West Lafayette, Indiana Area

• Research: Deep Learning Applied to PHEV
• Publications: Huo, D. and Meckl, P., 2022. Power Management of a Plug-in Hybrid Electric Vehicle Using Neural Networks with Comparison to Other Approaches. Energies, 15(15), p.5735.
• Built the deep learning models through Python and Matlab for a Plug-In Electric Vehicle to optimize power management combined with data mining, different algorithms (CNN, ANN, DP, Regression) and programing (GPU and.
• Built the deep learning models through Python and Matlab for a Plug-In Electric Vehicle to optimize power management combined with data mining, different algorithms (CNN, ANN, DP, Regression) and programing (GPU and.
• Designed, built and programmed an automated robot using camera and different sensors to detect certain-objects and damages without repeating or missing, recording and reporting the location and fixing the damages with.
• Designed 2 PID controllers (C/C++) for engine speed control system, heating & cooling system to meet the specifications.Main Courses:

Beijing City, China

• R&D of Powertrain, Daimler Greater China (Mercedes-Benz)Master Engineer /Assistant ManagerLocalization & Project Management
• Managed 6 suppliers and coordinated internal/external departments as project leader to secure project timeline and accomplished over 65 projects.
• Led over 20 products’ life cycle management.
• Defined project milestones and generated budget plan to ensure the project matches overall vehicle… Show more R&D of Powertrain, Daimler Greater China (Mercedes-Benz)Master Engineer /Assistant ManagerLocalization &.
• Defined project milestones and generated budget plan to ensure the project matches overall vehicle timeline.
• Identified root cause for issues from assembly plant or aftersales market, and proposed short-term & long-term solutions

Beijing City, China

• As project leader to lead regular cross-functional team project meeting to secure the project’s milestone
• Acted as lead auditor following VDA6.3 to audit and release suppliers, which including their production line, process, warehouse management and logistic etc. to secure delivered products can meet industrial.
• Joined cross-functional teams to nominate suppliers for new project as quality engineer… Show more
• Joined cross-functional teams to nominate suppliers for new project as quality engineer
• As quality engineer, led/joined cross-functional teams to make root cause analysis and define back-up for production line issues and after-sales issues Show less

Beijing City, China

• Initiated technical concepts/documents, which including 3D data, 2D drawings, DFMEA etc. to meet OEM product requirements and supported sales team from quotation phase to nomination
• Acted as project manager to lead project meeting and coordinate cross-functional team to secure projects’ milestone
• Acted as product engineer to lead/join supplier audit to verify suppliers’ production line, project team, testing lab during development phase for each product build
• Conducted failure… Show more
• Conducted failure root cause analysis of after-sales issues for OEMs, and evaluated/initiated corresponding technical design change, supported sales, and purchasing team to evaluate feasibility, and further handed over.

Master Of Science - Ms, Mechanical Engineering

Major in Robotics

Master Of Science - Ms, Computer Science, 4

Doctor Of Philosophy - Phd, Mechanical Engineering, 4.0

Modeling and control.