- I am a physics Ph.D. and have worked as a postdoc at the University of Geneva
- I analyzed the AMS-02 nuclei data with machine learning algorithms such as Transformers, CNNs and XGBoost
- Working on complex issues decreases the entropy of my mind
- I am learning cloud architecture and machine learning deployment on a large scale
- I am interested in the use of AI in day-to-day life
- You can contact me at shahidzafarkhan@gmail.com or shahid.khan@unige.cern
- This code contains a class to optimize the hyperparameters of various machine learning algorithms such as transformers, CNNs, MLPs, and XGBoost.
- This folder uses the above class in a notebook for the analysis of the Higgs boson challenge with various machine-learning algorithms
- This folder contains the classification of flowers with CNNs, again the class is used here
- To convert the AMS-02 experiment data to flat trees and label the data I have developed the code link
- I am currently teaching a course on numerical analysis for bachelor's students as an assistant
- The course exposes the students to different analysis algorithms used in physics
- Linear and multiple regression
- Machine learning
- I have to prepare examples and exercises for the students
- The code of the exercises is available at link