Profile Details

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Hire Dr. Engr . Fazle H.

United States

USD 60 /hr

PhD in Nuclear Engineering | Machine Learning Specialist for Fault Diagnosis & Uncertainty Mitigation in Power Plants

Profile Summary

With a PhD in Nuclear Engineering , complemented by MS and BS in Mechanical Engineering, I bring 12+ years of hands-on research expertise in applying Machine Learning (ML) to enhance nuclear power plant safety and reliability. My work centers on ML-driven fault diagnosis and uncertainty mitigation, using techniques like physics-informed neural networks to detect anomalies in reactor systems amid noisy data. Skilled in TensorFlow, PyTorch, and scikit-learn for models such as CNNs and LSTMs; Bayesian methods and Gaussian Processes for uncertainty quantification; and MATLAB for simulations and data analysis. My research includes developing ML frameworks for predictive fault detection in nuclear components and exploring reinforcement learning for real-time diagnostics. I've mentored students, contributed to technical reports, and presented at engineering forums. Available for research proposals, ML consulting, and assignment support in nuclear-mechanical fields

Subject Matter Expertise

• ☆ Mechanical Engineering
• ☆ Nuclear Engineering
• ☆ Data Analysis
• ☆ Machine Learning

Services

• Writing
• Research
• Data & AI

Writing Technical Writing

Research User Research, Scientific and Technical Research, Systematic Literature Review

Data & AI Predictive Modeling, Image Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing

Work Experience

PhD Fellow

Harbin Engineering University

September 2021 - Present

Education

PhD in Nuclear Engineering (Nuclear Engineering)

Harbin Engineering University

September 2024 - July 2028

Master in Mechanical Engineering

Harbin Engineering University - China

September 2020 - July 2023

BS in Mechanical Engineering (Mechanical Engineering)

International Islamic University, Islamabad

August 2013 - July 2017

Certifications

• Advanced Certified Engineer

  Pakistan Engineering Council (PEC)

  https://verification.pec.org.pk/v/eV/sED/i.aspx?eid=332F303336393935

  July 2018 - Present

Publications

JOURNAL ARTICLE

Arshad, F., Peng, M., Haseeb, F., Ali, W.(2025). An intelligent fault detection method for PWR-type nuclear power plants using neuro-encoder binary cells . Nuclear Engineering and Technology. 57. (11).

Chen, S., Xu, H., Haseeb, F., Fan, W., Wei, Q.(2023). A pneumatic–hydraulic hybrid actuator for underwater soft robot swimming and crawling . Sensors and Actuators A Physical. 356.

OTHER

Arshad, F., Peng, M., Ali, W., Li, Z., Haseeb, F., Khan, A.(2025). Physics-Informed Fault Diagnosis through Online Efficiency Monitoring of PWR Type Nuclear Power Plants . Ssrn.

Chen, S., Xu, H., Haseeb, F., Fan, W., Wei, Q.(2022). A Pneumatic-Hydraulic Hybrid Actuator for Underwater Soft Robot Swimming and Crawling . Ssrn.