AI + Mathematics Research Lab Website
A professional, research-focused website designed for academic credibility and research communication.
URL: https://twomathematicians-code.github.io/mahesh-portfolio/
- Research-First: Content organized by research area, not marketing needs
- Minimal & Professional: Clean, academic design without flashy elements
- Mathematical Rigor: Native LaTeX support with MathJax integration
- Open Science: All code, datasets, and papers freely accessible
/
├── index.html # Homepage
├── research/
│ └── index.html # Research Areas
├── publications/
│ └── index.html # Publications List
├── projects/
│ └── index.html # Active Projects
├── about/
│ └── index.html # Lab Vision & Mission
└── assets/
├── css/
│ ├── main.css # Core Design System
│ └── pages.css # Page-specific Styles
└── js/
└── main.js # JavaScript
- Primary: #0066CC (Academic Blue)
- Accent: #00A86B (Research Green)
- Background: #FFFFFF, #FAFAFA, #F5F5F5
- Text: #1A1A1A, #666666, #999999
- Sans-serif: Inter (body text)
- Monospace: Fira Code (code blocks)
- Math: MathJax with TeX rendering
- Base unit: 8px
- Container max-width: 1400px
- Content max-width: 800px
- Causal Inference - Computational frameworks for causal discovery
- Structural Equation Modelling - Bias reduction methods for SEM
- Neural-Symbolic Systems - Integrating symbolic reasoning with neural networks
- ✅ Static HTML (no build required)
- ✅ MathJax for LaTeX equations
- ✅ Responsive design
- ✅ Semantic HTML5
- ✅ Accessible (WCAG 2.1)
- ✅ SEO optimized
- ✅ GitHub Pages compatible
- Open
publications/index.html - Add new
<article class="paper-item">in appropriate year section - Include BibTeX citation block
- Open
projects/index.html - Add new project card to appropriate category
- Link to GitHub repository
- Open
research/index.html - Add new research section with problem statement, methodology, and active projects
This is a static website deployed to GitHub Pages:
- Push changes to main branch
- GitHub Pages automatically deploys
- Live at: https://twomathematicians-code.github.io/mahesh-portfolio/
- More text-dense, optimized for technical reading
- Better mathematical notation support
- Stronger focus on reproducibility
- Strictly academic, no product marketing
- Citation-ready formatting
- Code and dataset integration
- More austere, research-focused
- Native equation support
- Better long-form content navigation
- Clarity over Cleverness - Simple, readable layouts
- Content First - Minimal decorative elements
- Academic Authority - Professional, credible design
- Reproducibility - All research reproducible with provided code/data
Mahesh Solanki
Computational Scientist
Email: maheshsinh1910@gmail.com
Location: Ghent, Belgium
Content © 2026 Computational Mathematics Lab
Code released under MIT License
Built for research credibility and academic excellence