Research

Research across
security and AI.

Faculty and students investigate secure systems, adversarial learning, neural computing, and visual intelligence.

Nick Rahimi and Saydul Akbar Murad working with EEG research equipment

Featured collaboration

EEG to text, from model to infrastructure

Saydul Akbar Murad and Nick Rahimi connect brain signal decoding with secure, scalable peer-to-peer fog computing.

Explore Murad’s research

Focus

Research areas

01

Cybersecurity

Intrusion detection, vulnerability prioritization, e-commerce risk, and cyber policy.

02

Trustworthy AI

Adversarial robustness, safe learning, explainability, and model evaluation.

03

Neural & distributed systems

EEG decoding, privacy, fog architectures, and secure peer-to-peer computing.

04

Visual intelligence

Video reasoning, remote sensing, and dynamic scene representation.

From the lab

Recent projects

Diagram of the Redemption Score image caption evaluation framework

Multimodal evaluation · 2026

Redemption Score

Evaluating image captions through perceptual, linguistic, and distributional signals.

Ashim Dahal · Ankit Ghimire · Saydul Akbar Murad · Nick Rahimi

Read accepted manuscript
Methodology diagram for graph models on Bitcoin transactions

Graph learning · 2026

Bitcoin transaction graph learning

Comparing Euclidean and hyperbolic graph models on Bitcoin transaction networks.

Ankit Ghimire · Saydul Akbar Murad · Nick Rahimi

Read preprint
Email network, graph filter, and text verification research pipeline

Social engineering · 2026

Filter-then-Verify

A graph filter and language model work together to detect email social engineering.

Barsat Khadka · Prasant Koirala · Kshitiz Neupane · Nick Rahimi

Read preprint
POVQA video frames alongside a question and answer comparison

Video understanding · 2026

POVQA

Video question answering with rationales and fewer input tokens.

Ashim Dahal · Ankit Ghimire · Saydul Akbar Murad · Nick Rahimi

Project website
Digital twin robot simulation demonstration frame

Robotics · 2026

TwinSim

A Gaussian scene digital twin for simulation to real world robot policy training.

Ashim Dahal · Nick Rahimi

Watch demonstration below
Comparison of 4D Gaussian reconstruction under different anchor policies

Dynamic scenes · 2026

4D Gaussian streaming

Testing how anchor selection changes reconstruction quality and efficiency.

Ashim Dahal · Rabab Abdelfattah · Nick Rahimi

Read preprint
CLIP attention visualization from the research demonstration

Vision-language models · 2025

Embedding Shift Dissection on CLIP

Tracking how image augmentations change vision-language representations.

Ashim Dahal · Saydul Akbar Murad · Nick Rahimi

Read paper
Comparative remote sensing segmentation results

Remote sensing · 2025

Vision Transformers versus CNNs

Comparing segmentation models on remote sensing imagery.

Ashim Dahal · Saydul Akbar Murad · Nick Rahimi

Read paper
Comparison chart for convolutional Kolmogorov-Arnold networks

Model efficiency · 2025

Convolutional Kolmogorov-Arnold Networks

Measuring practical efficiency bottlenecks across image and tabular tasks.

Ashim Dahal · Saydul Akbar Murad · Nick Rahimi

Read preprint
Abstract cybersecurity research visual

Cyber defense · 2026

Attack-aware intrusion detection

Adaptive multi-stage defenses against adversarial network traffic.

Oluseyi Olukola · Nick Rahimi

Read preprint
EEG-to-text research methodology diagram

Neural computing

EEG-to-text and secure fog architecture

Decoding brain signals with scalable and secure peer-to-peer infrastructure.

Saydul Akbar Murad · Nick Rahimi

Explore research

Across the lab

More work

Watch the work

Research demonstrations

Robotics

TwinSim

A silent visual walkthrough of the digital twin scene used for robot policy training.

Video description

The demonstration moves through a simulated environment and shows the robot alongside its reconstructed surroundings.

Video understanding

POVQA

A visual comparison of questions, human references, and model responses over sampled video frames.

Video description

The video cycles through movie clips. Each example shows time-stamped frames and subtitles, then a question, human reasoning and answer beside the model response.

Dynamic scenes

4D Gaussian streaming

A side-by-side comparison of reconstructed scenes under different anchor policies.

Video description

The video compares three anchor-selection policies. Each column shows a reconstruction, selected 3D Gaussians, and an influence blend beside ground truth.

Vision-language models

CLIP embedding shift

An animation showing changes in CLIP attention across an image sequence.

Video description

The sequence displays changing attention overlays to illustrate how image transformations affect the model representation.

Methods and prototypes

Research figures

Diagram of multilingual cyber threat detection methodology
Multilingual threat detection
Research system architecture diagram
Distributed system architecture
Chart from an earlier robotics project
Robotics study
Interface screenshot from an earlier computing project
Computing prototype