PRISM Lab

Pattern Recognition and Intelligent Systems for Modeling Human Behavior

Advancing Human-Centered AI through Intelligent Sensing, Multimodal Learning, and Digital Health.

Explore PRISM

About PRISM

PRISM is an interdisciplinary artificial intelligence research lab focused on developing intelligent systems that understand, model, and predict human behavior through multimodal sensing and advanced machine learning.

Our research integrates data from wearable devices, smartphones, physiological sensors, audio, video, and environmental sources to address real-world challenges in healthcare, well-being, assistive technologies, and human-centered AI.

Research Areas

Human Activity Recognition
Emotion Recognition
Stress and Anxiety Detection
Glucose Prediction and Forecasting
Sleep and Well-being Analytics
Wearable and Physiological Signal Processing
Time-Series Foundation Models
Explainable AI
Personalized AI

Current Projects

GlucoSense

Predictive modeling of glucose dynamics using CGM and multimodal wearable sensor data.

EmoSense

Emotion recognition from speech, facial expressions, and physiological signals.

NeuroSense

Stress, anxiety, cognitive state, and mental well-being monitoring using AI.

WearSense

Human activity recognition using smartphones, smartwatches, and smart glasses.

People

Lab Director: Dr. Muhammad Adeel Nisar
Assistant Professor, Department of Information Technology, University of the Punjab, Lahore, Pakistan.

PhD, MPhil, and BS researchers working in PRISM will be listed here.

Join PRISM

We welcome motivated students and collaborators interested in Artificial Intelligence, Digital Health, Wearable Computing, Human Activity Recognition, Emotion Recognition, Physiological Signal Processing, and Time-Series Machine Learning.

Contact

PRISM Lab
Department of Information Technology
University of the Punjab, Lahore, Pakistan

Email: adeel.nisar@pucit.edu.pk