Peyman Heydarian
Postgraduate Dissertation Supervisor @Solent University
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WORK HISTORY
Postgraduate Dissertation Supervisor @Solent University
Southampton, GB
Supervising dissertations on applying AI / ML and Data Science to Finance and IT healthcare projects with 13 students who are studying applying AI to their particular areas of interest, having to understand each myself first. All students programme in Python / WEKA, and passed successfully. Subjects are Market Sentiment Analysis, Brest Cancer Recurrence, Depression prediction, Business Process Automation, Anomaly Detection in Bitcoin Transactions, etc.
EDUCATION
Queen Mary University of London
MPhil, Digital Signal Processing
Tarbiat Modares University
MSc, Electronic Engineering
London Metropolitan University
Doctor of Philosophy (PhD), Musical Signal Processing
Razi High school
Diploma, Mathemtics and Physics
Shiraz University
Bachelor of Science - BS, Electrical and Electronics Engineering
SKILLS
ABOUT PEYMAN HEYDARIAN
I lead projects at the intersection of AI, Music Information Retrieval (MIR), financial technology, and healthcare IT. I have contributed to the successful delivery of high-impact research initiatives, including market sentiment analysis, music feature extraction, and breast cancer recurrence prediction, all developed using Python.I specialize in the application of AI across multidisciplinary domains, combining technical expertise with domain insight. My proficiency in Python (including scikit-learn, essentia, librosa, nltk, numpy, pandas, matplotlib, scipy, jupyter) and MATLAB has enabled our research team to deliver novel, data-driven solutions with real-world impact across MIR, fintech, and healthcare analytics.
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