A professional portfolio website showcasing research in AI, machine learning, and biologically inspired computation. Designed to match the enterprise standards of leading research institutions.
- Responsive Design: Optimized for all devices with modern CSS Grid and Flexbox
- Dark Mode Toggle: Seamless theme switching with localStorage persistence
- Enterprise Styling: Professional typography and layout inspired by IISC Bangalore and IIT Madras
- Research Showcase: Detailed project descriptions with system architectures and experimental results
- Interactive Elements: Smooth animations and hover effects
- SEO Optimized: Proper meta tags and semantic HTML structure
- HTML5: Semantic markup for accessibility
- CSS3: Custom properties, animations, and responsive design
- JavaScript: Dark mode functionality and theme persistence
- Google Fonts: Inter and JetBrains Mono for professional typography
- Font Awesome: Icons for enhanced UI elements
- GitHub Pages: Hosting and deployment
kumaran-research.github.io/
├── index.html # Home page with profile and introduction
├── projects.html # Research projects showcase
├── research.html # Research interests and directions
├── service.html # Academic service and awards
├── contact.html # Contact information and links
├── css/
│ └── style.css # Main stylesheet with dark mode support
├── assets/
│ ├── images/
│ │ └── profile.png # Profile image
│ └── diagrams/
│ ├── SmarCampusFL .png # Federated learning architecture
│ └── SNN_FAISS.png # SNN multimodal retrieval system
├── TODO.md # Development notes
└── README.md # This file
This project is configured for GitHub Pages deployment:
- Repository Setup: Create a repository named
kumaran-research.github.ioon GitHub - Push Code: Upload all files to the repository
- Enable Pages: Go to Settings → Pages → Source: Deploy from a branch → Branch: main
- Access Site: Visit
https://kumaran-research.github.io/
To run locally:
- Clone the repository
- Open
index.htmlin your browser - All assets use relative paths, so no server setup required
- Primary: Professional blue (#1a365d)
- Secondary: Accent colors for highlights
- Dark mode: Carefully chosen contrast ratios
- Headings: Inter (Google Fonts)
- Code: JetBrains Mono (Google Fonts)
- Automatic theme detection
- Manual toggle with persistence
- Smooth transitions between themes
- Spiking Neural Networks for image-text alignment
- FAISS integration for efficient similarity search
- Contrastive learning with surrogate gradients
- Privacy-preserving face recognition
- Flower framework for decentralized training
- FedProx strategy for non-IID data handling
This is a personal portfolio project. For suggestions or collaborations:
- Open an issue for feature requests
- Fork and submit pull requests for improvements
- Contact via email for research collaborations
© 2025 Kumaran V. All rights reserved.
- Email: kumaran.v.4002@gmail.com
- GitHub: Kumaran-Research
- LinkedIn: kumaran-v-54204b3a3
Built with passion for advancing AI research and making complex concepts accessible.