Panagiota Grosdouli — Research Portfolio
A personal academic and engineering portfolio website built with Next.js, React, TypeScript, and Tailwind CSS.
The site presents selected work in robotics, artificial intelligence, autonomous navigation, computer vision, trajectory prediction, and intelligent safety-critical systems.
Purpose
This repository supports a research-focused personal portfolio for presenting:
- academic background,
- selected GitHub projects,
- research interests,
- technical skills,
- CV and contact information,
- ongoing work in AI, robotics, and intelligent mobility.
Highlighted Research Themes
- Uncertainty-aware autonomous navigation
- Risk-sensitive robotic planning
- Vulnerable road user trajectory prediction
- Intelligent intersections and cooperative perception
- Computer vision and semantic understanding
- Sensor fusion, SLAM, and safety-aware perception
Selected Projects Featured
Features
- Responsive academic portfolio layout
- Research-focused landing page
- Dedicated pages for research, projects, CV, and contact
- Downloadable CV entry point
- SEO metadata and generated Open Graph preview image
- GitHub Actions CI for linting and production builds
- Clear project presentation for academic and technical audiences
Tech Stack
- Next.js
- React
- TypeScript
- Tailwind CSS
Local Development
Open http://localhost:3000 in your browser.
Available Scripts
npm run dev
npm run build
npm run start
npm run lint
Deployment Notes
Set NEXT_PUBLIC_SITE_URL to the final production URL so canonical URLs and social preview metadata resolve correctly.
Project Goals
- Present selected research and engineering projects clearly.
- Highlight skills in robotics, AI, machine learning, and autonomous systems.
- Provide a clean, responsive, and professional academic portfolio.
- Keep the codebase simple and easy to extend with new sections.
- Maintain a professional GitHub-facing summary of academic and technical work.