关于
Muhammad Ali Haider
Mechanical Integrity and AI Systems Engineer
I'm a mechanical engineer specializing in asset integrity, working where risk-based inspection meets machine learning. For the last few years I've kept static equipment and piping safe across refineries and offshore platforms — from ADNOC in the UAE to plants across Pakistan.
My focus is using computer vision and Sci-ML to make inspection faster and more predictive: training CNNs to detect corrosion, blistering and pitting from visual data, and automating RBI workflows that used to take weeks. I care about solutions that improve safety and reliability while cutting cost — for both industry and the people who depend on it.
Venture
EXUBIS
I founded EXUBIS to build asset integrity and artificial-intelligence solutions for the energy industry.
内容
YouTube 频道
EXUBIS
EXUBIS 产品演示 —— SCALAR 与 STAINS,以及背后的资产完整性思路。
Muhammad Ali Haider
资产完整性、基于风险的检验与应用 AI,从头讲起。
专长
技术能力
机械工程
- ANSYS
- SolidWorks
- CFD
- FEA
- MATLAB
- LabVIEW
- TurboMachinery
- Solid Mechanics
Asset Integrity
- RBI
- API 580 / 581
- API 571
- API 510 / 570
- FFS
- POF & COF
- RLA
- Corrosion Loops
- IOW
- Corrosion Management
- GE ONE APM Meridium
- E2G PM
- Palladio
- Abyss Fabric
- Digital Twins
机器学习
- Computer Vision
- CNNs
- Semantic Segmentation
- Deep Learning
- PINNs / Sci-ML
- Data Science
- Recommendation Systems
- NLP
编程 / 数据
- Python
- MATLAB
- C++
- SQL
- TensorFlow
- NumPy / Pandas
- Data Visualization
- Docker
- Git
- Linux
教学
教育内容
- 数学辅导:从中学代数到大学微积分Photomath
- 热力学:定律、循环与熵,从基本原理讲起辅导
- 流体力学:静力学、粘性流动与叶轮机械基础辅导
媒体
精选视频
SANDO: Safe Autonomous Trajectory Planning for Dynamic Unknown Environments
Aerospace Controls Laboratory