activity
20192025
most citedNteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale

Rameen Mahmood, Tousif Ahmed, Sai Teja Peddinti +1

The growth of IoT devices in shared environments has outpaced our ability to identify them, posing urgent risks to privacy, safety, and accountability. This challenge is especially…

cs.LG2024★ 6 cited

Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives

Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng +7

Artificial Intelligence (AI) for health has the potential to significantly change and improve healthcare. However in most African countries, identifying culturally and contextually…

cs.LG2021

CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier

Shibo Zhang, Ebrahim Nemati, Minh Dinh +6

Persistent coughs are a major symptom of respiratory-related diseases. Increasing research attention has been paid to detecting coughs using wearables, especially during the COVID-…

cs.SD2021

A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection

Shibo Zhang, Ebrahim Nemati, Tousif Ahmed +3

Cough is a major symptom of respiratory-related diseases. There exists a tremendous amount of work in detecting coughs from audio but there has been no effort to identify coughs fr…

cs.HC2019

Conveying Situational Information to People with Visual Impairments

Tousif Ahmed, Rakibul Hasan, Kay Connelly +2

Knowing who is in one's vicinity is key to managing privacy in everyday environments, but is challenging for people with visual impairments. Wearable cameras and other sensors may…