Engineering Management | Industry 4.0 | Predictive Maintenance

MSc Engineering Management (University of Portsmouth) • BSc Electrical & Electronic Engineering. I work on predictive maintenance, smart manufacturing, sensors & PLC systems, industrial IoT and digital engineering.

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Who I Am

I am an engineering professional with an MSc in Engineering Management and a BSc in Electrical & Electronic Engineering. My expertise spans Industry 4.0, predictive maintenance, condition monitoring, sensor integration, and digital engineering. I combine strong practical electrical skills — including BS 7671, PLC programming, and hands-on troubleshooting — with research-driven analytical thinking. I am passionate about improving reliability, efficiency, and automation in modern manufacturing environments. With experience in both technical work and strategic engineering management, I bridge the gap between theory and real-world industrial solutions.

Quick Facts

MSc Engineering Management – University of Portsmouth

BSc Electrical & Electronic Engineering

Certifications: BS 7671, PLC courses

Interested in PhD

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Research Publications

Testing of Dielectric Strength of Transformer Oil, Insulation Paper and Corona Effect of Wire

Authors: Ms. Ashiqurzzaman, Tonoy Chakma, Shuvo Mitra, Kazi Farjana Nasrin, Nur Mohammad Molla

Published In: 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh

This study investigates the dielectric strength characteristics of transformer oil and insulation paper using IEC and ASTM standards. The research analyses how temperature variation, insulation layers, and conductor surface conditions influence electrical breakdown, and examines corona effects across different wire sizes and materials. Results provide valuable insights for improving transformer reliability and insulating material performance.

View Full Paper (PDF)

Research Interests

Core areas where I add value – combining electrical skills with digital systems and management knowledge

Industry 4.0
Digital Twin-Driven Optimization
Smart Manufacturing
Sustainable Factory Management
Predictive Maintenance
Sustainable Energy Management in Manufacturing

Featured Projects

nurmohammadmolla
Smart Factory Monitoring System Real-time monitoring solution that tracks machine performance, energy usage, and sensor data to detect faults early and improve factory efficiency.

nurmohammadmolla
PLC Automation Demo PLC and HMI automation demo using ladder logic to control a production line with integrated fault handling and system diagnostics.

nurmohammadmolla
Predictive Maintenance Dashboard Interactive dashboard displaying live machine data, trend graphs, and alerts for early-stage fault detection in industrial equipment.

Contact

Interested in collaboration, a PhD opportunity, or consultancy? Get in touch.

Academic: up213798@myport.ac.uk
Contact: nurmohammad.stm@gmail.com

Location: Portsmouth, United Kingdom

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