Visit my website: https://pivezhan.github.io
This repository hosts my academic website, built with Jekyll. I am a PhD candidate in Computer Science at Wayne State University, specializing in data-efficient AI-guided energy- and thermal-aware scheduling for heterogeneous multicore systems.
My website features:
- Home - Overview of my research and academic background
- Publications - Research papers and conference proceedings
- News - Latest updates and announcements
- Teaching - Courses taught and mentoring experience
- CV - Comprehensive curriculum vitae
- Projects - Research and technical projects
- Hobbies - Personal interests and activities
My PhD research addresses critical challenges in:
- Energy-efficient scheduling for real-time embedded systems
- Thermal management in heterogeneous multicore platforms
- Hierarchical Multi-Agent Reinforcement Learning (HMARL)
- Data-efficient machine learning techniques
- Hardware-software co-design
Feel free to reach out for collaboration opportunities or research discussions!
- Email: pivezhandi@wayne.edu
- Website: pivezhan.github.io
- Twitter: @pivezhandi
This repository is actively maintained and updated with my latest research and academic activities.