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John Stankovic

4 accepted papers

2026

EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services

Keshara Weerasinghe, Xueren Ge, Tessa Heick, Lahiru Nuwan Wijayasingha, Anthony Cortez, Abhishek Satpathy +2
AAAI 2026technical

Emergency Medical Services (EMS) are critical to patient survival in emergencies, but first responders often face intense cognitive demands in high-stakes situations. AI cognitive assistants, acting as virtual partners, have the potential to ease this burden by supporting real-time data collection a

Cited by 0Source ↗PDF ↗Scholar ↗
2024

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction

Xueren Ge, Abhishek Satpathy, Ronald Dean Williams, John Stankovic, Homa Alemzadeh
EMNLP 2024main

Multi-label text classification (MLTC) tasks in the medical domain often face the long-tail label distribution problem. Prior works have explored hierarchical label structures to find relevant information for few-shot classes, but mostly neglected to incorporate external knowledge from medical guide…

Cited by 1Source ↗PDF ↗code ↗Scholar ↗
2020

STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks

Meiyi Ma, Ji Gao, Lu Feng, John Stankovic
NeurIPS 2020poster

Recurrent Neural Networks (RNNs) have made great achievements for sequential prediction tasks. In practice, the target sequence often follows certain model properties or patterns (e.g., reasonable ranges, consecutive changes, resource constraint, temporal correlations between multiple variables, exi…

Cited by 45Source ↗PDF ↗Scholar ↗
2019

A Behavior Tree Cognitive Assistant System for Emergency Medical Services

Sile Shu, Sarah Preum, Haydon M. Pitchford, Ronald D. Williams, John Stankovic, Homa Alemzadeh
IROS 2019poster

This paper presents a cognitive assistant system for emergency medical services (EMS) that can serve as a rescue robot or virtual assistant, helping with improving situational awareness of the first responders through automated collection and analysis of data from the incident scene and providing su…

Cited by 14Source ↗Scholar ↗