Real-time eye, facial-landmark, head-pose, blink, and gaze tracking for aviation human factors and HCI

Coupled simulator for research on driver-pedestrian interactions made in Unity3D.

The Fatigue Impairment Prediction Suite. An R package for running biomathematical models of fatigue.

A new method for a robot to learn a control objective from human user's directional corrections.

Code and data for EMNLP '17 paper "Human Centered NLP with User-Factor Adaptation"

A responsive web app for ranked-choice election usability testing

Analysis of the human whole-body kinematics and dynamics during the execution of a typical overhead task to quantify the assistive support given by the exoskeleton.

Improving the quality of work for human beings is receiving a lot of attention from multiple research communities. This paper focuses on the open problem of estimating the interaction wrench experienced at the human extremities (such as hands), where the feasibility of direct sensor measurements is not practical.

AHgen is a software code written in R. It is designed to generate, analyse, and compare five-level hierarchical networks called “Abstraction Hierarchies”. AHgen may used to analyse Abstraction Hierarchies in any domain or at any scale.

An aspiring software craftsmen's blog.

Framework for the analysis of crossing behaviour in the interaction between multiple pedestrians and an automated vehicle, from the perspective of one of the pedestrians using a crowdsourcing approach.

A human-factor framework for social engineering- modeling the Trust Cycle alongside existing technical frameworks like MITRE ATT&CK.

OTAS framework – Sensory‑informed seating & in‑flight OT alert. Founder: I. M. A. Mulla (Ibrahim Muhammad Amin Mulla). Research prototype for airport screening + aircraft incident response. Decibel mapping, OT override, ding + red flicker. Not clinical use.

Active research, in progress - literature synthesis + framework on how alert fatigue and clinician AI adoption trade off, and what deployment strategy can do about it

Multi‑sensor neuro/vehicle monitoring toolkit: static web dashboard with local bridges for OBD‑II (Node WS) and Muse S (Swift + proprietary SDK), plus direct Web Bluetooth for Polar H10, keeping frontend/backend/vendor SDK cleanly isolated.

A framework for the analysis of perceived risk in the interaction between pedestrian and vehicle, from the perspective of the driver using a crowdsourcing approach.

A multi-agent safety engineering framework that subjects systems to adversarial audit. Orchestrates specialized agents (Engineer, Psychologist, Physicist) to find process risks and human factors.

R/Shiny App for real-time, multimodal (pupillometry, motor) prediction of cognitive states using XGBoost and explainable AI (XAI).

A design doctrine governing the visual and perceptual presentation of autonomous cyber-physical systems to ensure clarity, safety, and non-anthropomorphic interpretation.

Frontend implementation for crowdsourced experiment on estimation of risk in traffic scenes.