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

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

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

Non-LLM AI substrate that remembers who it is across sleep gaps. Pure numpy, Hebbian + sleep replay + persistent slow weights. Ten identity tests passing in toy worlds. Research artifact.

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

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).

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

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

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.

Constraint-enforcing synthetic IoT packet generation. Two methods: statistical learning (PCA + dual OCSVM/IF gating, ~1,091 pkts/sec) and a genetic algorithm (composite fitness, ~5.7 pkts/sec, 0.62% anomaly). Amplifies the 5-sample ARP Spoofing class by 200x. All 12 ACI-IoT-2023 categories pass independent validators. ICCCN 2026 submission.

Adversarial robustness evaluation framework for ML-based NIDS. Categorical robustness framework, the False Champion Problem. Backs IEEE Access submission. DoD-funded research with West Point.

ASRI: Aggregated Systemic Risk Index for Cryptocurrency Markets — paper + real-time monitoring system | DAI-2509 | Dissensus AI Working Paper

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

Minimal Tensor Logic AI engine in PyTorch – Datalog reasoning as tensor operations (einsum) and neural networks in one framework.

Orchestrate multi-agent AI tasks in TypeScript, delegate work across models, and run on Telegram, WhatsApp, Discord, iMessage, CLI, and MCP

MATLAB experiments related to PARAMOUNT for sub-6 GHz CSI to mmWave beam selection (IEEE TWC 2024).

C++/Python research code library for NeRF, Gaussian Splatting, COLMAP, and neural graphics experiments from summer CAD work.