I am a researcher, scientist, and entrepreneur specializing in advanced data analytics, artificial intelligence, wavelet transforms, and intelligent systems. I bridge advanced computational theory with real-world, production-ready applications.
I am the Founder and Chief Scientist of Deepsim Intelligence Technology Inc., the Editor-in-Chief of Deepsim Press, and President of Deepsim Academy.
- Data Analysis & Data Modeling: Practical (big) data analysis, modeling and forecasting using Python and Deepsim learning.
- Signal Processing & Feature Extraction: Advanced multiscale timeβfrequency analysis using Wavelet Transforms.
- Artificial Intelligence: Machine learning, deep learning, and predictive modeling architectures.
- Intelligent Engineering: Smart IoT sensor networks, edge computing deployment, and robotics.
I have authored over 40 scientific papers and 13 technical books. Some of my latest textbooks published via Deepsim Press include:
- Practical Data Analysis and Visualization with Python (2026) β [DOI: 10.5281/zenodo.19388650]
- Foundation and Core Wavelet Theory: Concepts, Mathematics, and Python Foundations (2026) β [DOI: 10.5281/zenodo.17373653]
- Learn Python by Building Your Own AI Companion: Master Modern Python by Building a Smart AI Companion System (2026) - [DOI: 10.5281/zenodo.20102902]
- Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python (2026) β [DOI: 10.5281/zenodo.20693366]
- π Google Scholar: My Citations
- π¬ ORCID ID: 0000-0002-4665-5366
- π’ Institutional Workspace: DeepSim-AI Organization