research-code

Training-free anti-recomputation for video vision-language models.

Python/PySide research tool for visualizing community evolution in time-varying ECoG brain networks

Non-LLM AI substrate that remembers who it is across sleep gaps. Pure numpy, Hebbian + sleep replay + persistent slow weights. Ten identity tests, two audit rounds, contributions welcome. Live: https://broke2builtai.com/portfolio/#betterthanllm

Code for DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks (IEEE INFOCOM 2021).

🔁 REPRODUCE — Turn any prior empirical paper into a clean, minimal, runnable implementation. Compare, extend, reproduce.

Simulated Scholar Search (S3): scientific-literature environment and verl-based RL research code for search agents.

Research code for deep reinforcement learning-driven scheduling in multijob serial lines — IEEE TII, 2024.

DSP-inspired multirate wrappers for GPT with adaptive hyperparameters and faster training.

Autonomous Red Team: Multi-Agent Adversarial Security Testing — paper + proof-of-concept framework | DAI-2513 | Dissensus AI Working Paper

Research code and reproducibility materials for coarse- and fine-grained time-series forecasting using Gaussian process blurring and denoising.

Scripts to interpret Mixture-of-Experts (MoE) language models at the expert level

Here is an implementation of Title: "Are Graph Convolutional Networks With Random Weights Feasible?" Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence Year: 2023

Official implementation of STAR-PINN: a Physics-Informed Neural Network (PINN) for solving the 2D time-domain magnetic diffusion (Maxwell) equation in nonlinear materials.

Hybrid LSTM-Markov attack chain forecasting for MITRE ATT&CK. Learns from 4,849 campaign chains + 8,437 real intrusion traces. Generates 26,051 risk-ranked multi-step attack futures via constrained beam search. 86% next-step accuracy, 0.76 Pearson correlation with NCISS severity. SECRYPT 2026 submission.

Code for PARAMOUNT: generalizable deep learning for mmWave beam selection using sub-6 GHz CSI (IEEE TWC 2024).

Novel types of Recurrent Neural Networks (RNNs). Includes the core mathematical framework PDF and executable source code.

Research code for real-time controller reconfiguration in delay-resilient cyber-physical systems — IEEE Access, 2022.

Central index for my research projects, code, publications, and Zenodo‑archived materials, including work on spaceborne lidar, urban forestry, vegetation modeling, and open-source geospatial workflows.