top of page

Hello,

pp.png

I'm Rahul

I'm a Ph.D candidate in the School of Systems and Enterprises at Stevens Institute of Technology, advised by Dr. Sang Won Bae. My research goals focuses on applying my knowledge in applied machine learning, and affective computing to solve problems in various domains, including ubiquitous computing, mental health sensing and interaction techniques.

​

Before commencing my Ph.D, I graduated with a Bachelors in Technology from IIIT Guwahati, with a major in Computer Science Engineering. As an undergraduate, I worked on multiple research projects under the guidance of Dr. Ferdous Ahmed Barbhuiya, and Dr. Kuntal Dey, among others.

  • Google Scholar
  • LinkedIn
  • Twitter
  • GitHub

Research

J = Journal / C = Conference / W = Workshop / Po = Poster / A = arXiv

blank.png

[C.2] PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild

Rahul Islam, Sang Won Bae

Activity and Behavior Computing 2024

SBM2024.png

[Po.4] Moving Toward Personalized Behavioral Medicine: Integrating Smartphone-based GPS Data into a Digital Alcohol Intervention

Tammy Chung, Sang Won Bae, Tongze Zhang, Melik Ozolcer, Rahul Islam, Anind Dey, Yiyi Ren, Brian Suffoletto, Aidan GC Wright, Trishnee Bhurosy

Society of Behavioral Medicine/Annals of Behavioral Medicine 2024

blank.png

[J.5] Towards Automated, Interpretable and Unobtrusive Detection of Acute Marijuana Intoxication in the Natural Environment: Harnessing Smartphones, Wearables, Machine Learning and Explainable AI to Empower Clinical Decision Support for Just-In-Time Adaptive Interventions

Sang Won Bae, Tammy Chung, Tongze Zhang, Melik Ozolcer, Anind K Dey, Rahul Islam

JMIR AI 2023 (Under Revision)

GenAI4PC.png

[W.1] Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents

Rahul Islam, Sang Won Bae

ACM IMWUT/Ubicomp 2023

chatbot.jpeg

[Po.3] Towards Designing Empathetic and Trustworthy AI Chatbots: an Exploratory Study

Melik Ozolcer, Rahul Islam, Abdullah Mohammed, Tongze Zhang, Sang Won Bae, Ting Liao

CESUN 2023

MicroFlow.png

[Po.2] MicroFlow: Advancing Affective States Detection in Learning Through Micro-Expressions

Rahul Islam, Sang Won Bae

CESUN 2023

[J.4] Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study

Sang Won Bae, Brian Suffoletto, Tongze Zhang, Tammy Chung, Melik Ozolcer, Rahul Islam, Anind K Dey

JMIR Formative Research 2023

mobile-cannabis (1).png

[J.3] Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings

Sang Won Bae, Tammy Chung, Rahul Islam, Brian Suffoletto, Jiameng Du, Serim Jang, Yuuki Nishiyama, Raghu Mulukutla, Anind K Dey

Drug and Alcohol Dependence 2021

eyespyvr.jpg

[J.2] EyeSpyVR: Interactive Eye Sensing Using Off-the-Shelf, Smartphone-Based VR Headsets

Karan Ahuja, Rahul Islam, Varun Parashar, Kuntal Dey, Chris Harrison, Mayank Goel

ACM IMWUT/Ubicomp 2018

biometrics.webp

[J.1] Convolutional neural networks for ocular smartphone-based biometrics

Karan Ahuja, Rahul Islam, Ferdous Barbhuiya, Kuntal Dey

Pattern Recognition Letters, Volume 91. 2017

iui_eyam_edited.jpg

[Po.1] EyamKayo: Interactive Gaze and Facial Expression Captcha

Utkarsh Dwivedi,Karan Ahuja, Rahul Islam, Ferdous Barbhuiya, Seema Nagar, Kuntal Dey

ACM IUI 2017

iris-ocular.jpg

[C.1] A Preliminary Study of CNNs for Iris and Periocular Verification in the View Spectrum

Karan Ahuja, Rahul Islam, Ferdous Barbhuiya, Kuntal Dey

ICPR 2016

sention-logo.png

[A.1] SenTion: A framework for Sensing Facial Expressions

Rahul Islam, Karan Ahuja, Sandip Karmakar, Ferdous Barbhuiya

arXiv preprint arXiv:1608.04489

Stripes

Professional Experience

  • Senior Software Architect, Egnify, 2019 (India)

  • Data Scientist, ParallelDots, 2017 (India)

Reviewing

  • ACM IMWUT '22, '23, '24

  • ACM CHI '24

  • Elsevier CVIU '17

Teaching

  • 2024 Stevens, Decision Making Via Data Analysis Techniques, Guest Lecture

  • 2024 Stevens, Data-Mining and Applied Machine Learning, TA

  • 2023 Stevens, Informatics for Engineering Management, Guest Lecture

  • 2023 Stevens, Fundamentals of Software Engineering, TA

bottom of page