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    Yousef Kowsar

    Resource-efficient Machine learning expert - Time series analysis - Movement analysis - Wearable - Deep learning

    Yousef Kowsar is a research fellow at the University of Melbourne, focusing on explainable AI and deep learning for image recognition. With over a decade of experience, he is a data scientist and senior scientific software engineer.

    Yousef's expertise includes time series data analysis, machine learning, unsupervised learning, distributed systems, and cloud computing. He holds a Ph.D. and specializes in time series analysis techniques for motion sensor data from wearable fitness devices.

    His specialties encompass machine learning, efficient ML for small devices, personalized data analytics, anomaly detection, wearable technologies, unsupervised learning, deep learning, cloud computing, resource management on the cloud, and cloud architecture.

    Yousef Kowsar is characterized by strong analytical and problem-solving skills, proficient mathematics and statistics capabilities, a passion for sport and fitness, autonomy, teamwork, resilience under pressure, eagerness to learn new technologies, exceptional leadership, and effective communication skills.

    He pursued a Ph.D. in Machine Learning, a Master of Science in Computer Science, and a Bachelor's degree in Computer Engineering with a software focus, all from the University of Melbourne.

    In terms of professional experience, Yousef has worked as a research fellow, PHD candidate, scientific software developer, research assistant, and in various software development roles for organizations like VLSCI, Protogen Technologies, Maharan, and Behpardaz Jahan Company.

    Yousef Kowsar
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    Location

    Melbourne, Australia