π Hello, I'm Alexis Aldo Mendoza Villarroel
I am a PhD student at the Computer Institute of UNICAMP in Brazil, specializing in the application of machine learning to health-related projects. My current research focuses on using wearable signals to detect sedentarism and measure activity intensity. π¨βπ» About Me
Nationality: Peruvian π΅πͺ
Location: Currently living in SΓ£o Paulo, Brazil π§π·
Education:
B.Sc. in Computer Science
M.Sc. in Computer Science from UNICAMP, Brazil
Currently pursuing a PhD at the Computer Institute, UNICAMP, Brazil
π§ Research Interests
Machine Learning: I enjoy exploring various machine learning techniques to solve real-world problems.
Deep Learning: I have a passion for deep learning, particularly when it comes to working with signals and 3D data (point clouds).
Computer Vision: I'm fascinated by the potential of computer vision and its applications in various fields.
π¬ Current Projects
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Wearable Signals for Health
Objective: Detect sedentarism and measure activity intensity using signals from wearable devices. Techniques: Machine learning models, signal processing, time-series analysis.
π Skills
Programming Languages: Python, C, C++
Frameworks and Libraries: TensorFlow, PyTorch, scikit-learn, NumPy, Pandas
Tools: Jupyter Notebooks, Git
Specialties: Signal Processing, Time-Series Analysis, Point Clouds, Computer Vision