Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Bashima Islam

Assistant Professor

University of Massachusetts Amherst

United States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

About

Dr. Bashima Islam is an Assistant Professor at Worcester Polytechnic Institute in the United States. Her research focuses on mindfulness meditation, user experiences with multimodal wearable devices, and technical validation of sensing platforms for capturing physiological data. Recent articles highlight her work in enhancing app engagement through mindfulness practices and assessing users' interactions with innovative health technology.

Articles (8)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Collaborators (3)

Lizbeth Benson

Research Assistant Professor

University of Michigan–Ann Arbor

UNITED STATES

View details

Mark Hasegawa-Johnson

University of Illinois at Urbana-Champaign

UNITED STATES

View details

Shiwei Fang

Assistant Professor

Augusta University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Bashima Islam

Research Interests

Make your next move.

Explore related searches

About

Articles (8)

MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System

ECG Statement Classification and Lead Reconstruction Using CNN-Based Models

Mindfulness Meditation and Respiration: Accelerometer-based Respiration Rate and Mindfulness Progress Estimation to Enhance App Engagement and Mindfulness Skills

Dataset: A Novel Aliasing vs Non Aliasing Audio Dataset for Always-On IoT Microphone Experimentation

EfficientMic: Adaptive Acoustic Sensing with a Single Microphone for Smart Infrastructure

LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data

Evaluating Users’ Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach

Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations

Collaborators (3)

Lizbeth Benson

Mark Hasegawa-Johnson

Shiwei Fang

Make your next move.