معرفی
Reza Zadeh is a Computational Mathematics professor at Stanford University's School of Engineering and Founder & CEO of Matroid. He previously served as a Technical Advisory Board member for Databricks and leads the Spark Tutorial at Stanford.
Research Interests: Specializing in Machine Learning and Distributed Computing, his work bridges theoretical mathematics with practical implementations in big data systems. Key focus areas include
- Optimization of Apache Spark
- 3D Convolutional Neural Networks
- Discrete Mathematics and Graph Theory
- Medical Imaging Applications
Academic Contributions: His publications reveal trends across multiple disciplines:
- Adapting machine learning for medical diagnostics (2019-2022)
- Advancing distributed computing frameworks (2014-2016)
- Developing mathematical foundations for social networks (2009-2013)
- Creating scalable optimization algorithms (2014-2016)
Scientific Awards:
- Best Paper Award runner-up at KDD 2016
Academic Leadership: He has taught SMACC Consulting and designed courses including CME 323: Distributed Algorithms and Optimization (2015-2024) and CME 305: Discrete Mathematics and Algorithms (2010-2017). His lectures cover graph theory, approximation algorithms, and spectral sparsification.
Labs & Teams: Organized Spark Summit workshops and leads Scaled Machine Learning Conference. Collaborates with Stanford's ICME computational consulting services.
