PhD Interview Presentation Template
Transcript: Mostafa Gharbawi Project 2 Overview Diving into [Project Name], I delved into [brief description of the research questions]. The methods utilized, such as [mention specific methods], led to [highlight significant outcomes]. This project enhanced my expertise in [mention relevant skills or knowledge areas]. Why I Have Applied for a CDT Program Dissertation project: Synchronisation of Heterogeneous Oscillators in Power Networks Introduction: Unveiling My Academic Journey With a background in [mention field], I am deeply passionate about [add specific research interests]. Through my academic journey, I have honed my skills in [mention relevant skills] and aim to make impactful contributions to the field of [mention field]. A Stable Power Network: Aim: Online integration of renewables into the grid, Eliminating environmental impacts. Challenges: Operational and inertial dissimilarity, system instability, Asynchronisation and frequency disturbance, Uncertainty in availability of natural resources. Prepared for the Next Chapter Personal Background: Studied Engineering Mathematics, Skillful in data modeling, Worked on numerous group projects, Helped my employer to increase revenue, Highly receptive, enthusiastic, and discipline. Envisioned Power Network: Project 1 Overview Solutions: Conventional power network model, Kuramoto model. Results: Synchronisation and stability equivalence, Quantifying network connectivity, Synchronous parametric conditions. Future work: Feasible synchronisation conditions, Locally merging green generators. Involvement in Other Group Projects Automation of Manual Tasks Early Prediction of Sepsis Disease Objective: Service Quality, End-user experience. My Personal Goal and Ambitions Tools: Challenges: Data pre-processing, Missing clinical records, Effective approach. Cohort-based PhD, Nurture my passion for analytic field, Proficiency in programming and modelling View maths as a tool for the betterment of humanity Contribute to making positive impact Binary Probabilistic Classification: Maximum a Posteriori method, Naive Bayes Theorem. The Project: Data-driven Model Calibration, Verification, and Validation of Vibroacoustics under Uncertainty Outcome: Reduced completion time to 20%, Streamlined journal process, Improved invoicing quality. Assignment Using MAP: Skills Acquired: Data quality assurance, Coding reproducibility, Collaboration & improvement, Interpersonal & communication. THANK YOU FOR LISTENING My Research Paradigm: UQ => challenge of Acoustic Variations Uncertainty Model Updating => Probabilistic (Baysian) Inference Applicability => Placement V&V => Model calibration and real world simulation Final Results: Improved input data Increased success rate from 45-60% Any questions? mostafa.gh1989@gmail.com