Izzuddin Rahman
Senior Engineer at Nissei Technology Malaysia Sdn Bhd
Based in Penang, Malaysia
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Seniority
Staff
Department
Engineering
Location
Penang
Industry
Software Development
Company size
165
Contact information
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i•••••••@nisseitm.com.my
Phone
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Background
About Izzuddin Rahman
Professional Experience Senior Reliability & Failure Analysis Engineer 1) Over 8 years of experience in Reliability Testing, Functional Testing, and Failure Analysis. 2) Conducted assessments and feasibility studies to develop and implement new test methods. 3) Managed projects related to Reliability Testing to ensure product quality and performance. 4) Identified and resolved cosmetic, functional, and dimensional issues using advanced failure analysis techniques. 5) Communicated technical concepts clearly with global teams to solve problems efficiently. 6) Worked closely with cross-functional teams to meet project goals and improve processes. 7) Guided and supported engineers during new product introductions and Reliability/FA developments. 8) Led the integration of new Reliability Equipment, Testers, and FA tools [FTIR, SEM/EDX & Cross-Section (Parallel Lapping)] into lab, ensuring smooth implementation. Research & Development Experience Graduate Researcher Assistant (Specialization : Artificial Neural Networks - ANN) 1) Conducting research on Neural Networks, focusing on prediction techniques and data modeling. 2) Developed and optimized ANNs models for complex problem-solving. 3) Compared the performance of RBFNN with other neural networks to enhance prediction accuracy. 4) Analyzed predicted and experimental data using MATLAB and JMP Analysis to improve model reliability. 5) Explored applications of Neural Networks in electronic engineering and industrial processes. 6) Collaborated with professors and research teams from local universities to collect and analyze data. 7) Published research findings and presented at conferences to share insights with the academic community. 8) Applied advanced research methodologies and critical thinking to solve complex research challenges.
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