Geospatial Data Scientist • Computational Researcher • Complex Systems Engineer
National Center of Big Data & Cloud Computing (NCBC) • NED University of Engineering & Technology
I am a Geospatial Data Scientist and Machine Learning Researcher at NCBC NEDUET, working at the frontier of computational earth observation, geometric deep learning, and emergent synthetic life simulations:
- 🛰️ Physics-Informed Geospatial AI: Fusing physical conservation principles with deep neural representations for predictive hydrological modeling and climate resilience.
- 🧠 Graph Representation Learning (GNNs): Developing novel self-supervised graph learning frameworks (
HydroGraphEM) for topological river basins and complex spatial-temporal sensor networks. - 🧬 Artificial Life & Emergent Systems: Architecting synthetic life laboratories (ProtoLife), geomorphic erosion engines (HydroTerra), cellular automata engines (Micropolis 2026), and audiovisual algorithm visualizers (AlgoRhythm).
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Synthetic biology sandbox simulating non-equilibrium particle forces, metabolic energy lifecycles (mitosis/starvation), interactive genetic force matrix editing, and real-time colony cluster detection. Stack: TypeScript • Spatial Hash Grid • Artificial Life • Web Audio API |
Particle-based hydraulic erosion simulator & river topology extractor. Simulates droplets carrying sediment to carve river valleys and extracts topological stream networks with Strahler stream orders. Stack: TypeScript • Canvas 2D/3D • Geomorphology • Graph Theory |
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Interactive Lake Ecosystem Digital Twin & Hydrodynamic GIS Simulator. Couples 3D bathymetric hypsography, 2D contaminant advection-diffusion, moored IoT sensor buoy telemetry, and dam spillway weir hydraulics. Stack: TypeScript • Canvas 3D/GIS • Hydrodynamics • Web Audio API |
Audiovisual sorting algorithm battle arena. Pits algorithms head-to-head in real-time split-screen races synthesized with procedural harmonic Web Audio chimes and live Big-O telemetry. Stack: TypeScript • Web Audio API • HTML5 Canvas • Algorithmic Theory |
The legendary 1989 SimCity cellular automata engine reimagined for 2026 with emergent autonomous citizen AI agents, mayoral decrees, Web Audio soundscapes, and canvas rendering. Stack: TypeScript • Canvas 2D/WebGL • Web Audio • Cellular Automata |
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Official PyTorch implementation of MFPIT (Multimodal Flood Physics-Regularized Transformer) for spatiotemporal water occurrence mapping in the Indus Delta. Stack: PyTorch • SciML • Remote Sensing • Transformers |
A novel Self-Supervised Graph Learning Framework for spatial topology representation learning across hydrological and environmental sensor networks. Stack: PyTorch Geometric • GNNs • Earth Observation |
Hybrid modeling framework fusing physical hydrology conservation with satellite Earth observation (CHIRPS, ERA5, SMAP, GRACE) for flood forecasting. Stack: Google Earth Engine (GEE) • Scientific Python • Hydrology |
| Domain | Technologies & Tooling |
|---|---|
| Programming Languages | Python, TypeScript, JavaScript, SQL, C++, Bash, LaTeX |
| AI / Machine Learning | PyTorch, PyTorch Geometric, Graph Neural Networks (GNNs), Physics-Informed ML (PINNs), Scikit-Learn |
| Earth Observation & Geospatial | Google Earth Engine (GEE), GDAL, GeoPandas, Rasterio, Shapely, QGIS |
| Simulation & Frontend | Vite, Canvas 2D / WebGL, Web Audio API, Cellular Automata Systems |
| Data & Systems Infrastructure | Linux, Docker, PostgreSQL / PostGIS, Git, GitHub Actions CI/CD |
Mirza Muhammad Muzzamil • Department of Computer & Information Systems Engineering • NED University of Engineering & Technology