Haining Dong, Ph.D., P.E.

Background

Mr. Haining Dong holds a B.S. and M.S. in Mechanical Engineering, as well as a Ph.D. in Industrial Engineering. He is a registered professional engineer in Texas and possesses extensive interdisciplinary knowledge across mechanical and structural engineering, mathematics, robotic control, and automation. Mr. Dong has significant industrial experience, including work with drilling rigs for both onshore and offshore oil and gas, launch and recovery systems for offshore operations, and vehicle-mounted instruments as well as handheld instruments for natural gas leak detection. He is also familiar with instruments such as sulfur analyzers, mass spectrometers, and Coriolis mass flowmeters. His expertise extends to project management, scheduling, cost estimating, risk analysis, document control, procurement, and certification. In addition to his industrial experience, Mr. Dong has a strong background in academic research, focusing on human factors and ergonomics, automatic control of mobile robots, and manufacturing automation through computer numerical control (CNC) and programmable logic controllers (PLC). He also has experience in residential HVAC and holds an EPA 608 certification.

Mr. Dong’s experience with drilling rigs in the oil and gas industry encompasses a range of areas, including mechanical/structural design and analysis using finite element analysis (FEA) and structural connection design employing welds and bolts. He has conducted design reviews in accordance with API and OSHA standards. His work also includes designing and analyzing mechanical components for lifting, installation, transportation, and load testing of rigs, as well as rig skidding and walking systems, hydraulic cylinders, shipping dollies, walkways, ladders, stairs, handrails, and fall protection systems. He has also performed seismic investigations using vibration and modal analysis and conducted environmental load analyses for wind and ocean waves. Additionally, Mr. Dong has provided engineering support by visiting fabrication yards and inspecting and evaluating drilling rigs during on-site surveys.

Mr. Dong’s experience with launch and recovery systems for offshore oil and gas includes machinery design for winches and parking brakes, as well as the design of masts and skids. His work also involves the design of electrical and hydraulic control systems. Key aspects of his contributions include material study and selection, surface hardness and heat treatment processes, the development of mathematical models for dynamic analysis, coating selection for anti-friction and anti-corrosion, motion analysis and interference checks, and design of transmission gears, seals, lubrication systems, tolerances, and bearings. Furthermore, he has performed design verification tests and root cause analyses, and he has conducted design reviews in compliance with DNV standards.

Mr. Dong’s experience in instrument development includes creating vehicle-mounted sensors for natural gas leak detection using tunable diode laser absorption spectroscopy (TDLAS), as well as hand-held multi-gas sensors utilizing non-dispersive infrared spectroscopy (NDIR). He has developed online sulfur analyzers based on pulsed ultraviolet fluorescence (PUVF), Coriolis mass flow meters, and isotope-ratio mass spectrometers. His work encompasses prototype design and construction, algorithm optimization for calibration, fast response times, and noise reduction. He has conducted design verification tests and performed troubleshooting and root cause analyses. Additionally, Mr. Dong has coordinated with third parties for certification tests, including ATEX, IECEx, FCC, and EMC. He has also provided technical support by visiting customer sites.

Mr. Dong’s academic research in human factors and ergonomics primarily focused on evaluating human gait in virtual reality and partial gravity environments. He developed a mathematical model to quantify human visual tracking behavior as it relates to gait control in virtual reality, aimed at assessing training effects.

Mr. Dong’s academic research in robotic control includes the development of an image-based adaptive control algorithm, which he applied to the tracking control of wheeled mobile robots. This work aimed to enhance the accuracy of the robots in following planned trajectories.

Mr. Dong’s academic research in manufacturing and automation includes proposing a procedure for integrating computer numerical control into traditional machinery using Siemens PLC/CNC systems. This approach aims to enhance manufacturing productivity and improve machine precision.

Mr. Dong has experience in residential HVAC systems, including installation, repair, and maintenance. He completed relevant HVAC training courses and passed the EPA 608 certification exam.