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

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.

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.

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

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

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

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

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

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

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.

Code and experiments for CCN 2025 paper on sampling diverse natural images for visual neuroscience.