from dataclasses import dataclass
from typing import list
@dataclass
class Researcher:
name: str = "Ripon Chandra Malo"
role: str = "PhD Researcher @ University of Utah"
field: str = "Geotechnical Engineering + Artificial Intelligence"
research_focus: list[str] = (
"Granular Materials",
"Scientific Machine Learning",
"AI for Geotechnics",
)
background: str = "M.Sc. Civil (Geotechnical) Engineering — BUET, Bangladesh"
building: str = "projectmem — local-first memory for developer repos"
goal: str = "Revolutionize geotechnical analysis with ML & data science"
open_to: list[str] = (
"Research collaboration",
"ML projects",
"Open source",
)
ripon = Researcher()|
Geotechnical AI Applying machine learning and deep learning to granular material behavior, soil classification, and civil infrastructure safety. |
Scientific Machine Learning Physics-informed neural networks and data-driven models that respect engineering constraints — not just black-box predictions. |
|
Data Science for Engineering Building interactive tools and web applications to make geotechnical data analysis accessible, visual, and powerful. |
Developer Tools
Building |
| Project | What it does | Status |
|---|---|---|
| projectmem | Local-first memory for repos. | Working |
| Geotechnical ML Tools | ML-powered analysis tools for geotechnical engineering workflows | Research |
| Scientific ML Experiments | Physics-informed models for granular material simulation | Learning |
Core Languages
ML & Data Science
Web & Tooling
I'm always open to research collaboration, ML project discussions, or just talking about geotechnical engineering and AI. Reach out any time.
