PhD Students

Ahmed Khan

Deep Learning for Elderly Fall Detection

Started: 2022 | Expected: 2026

Developing advanced deep learning models for real-time fall detection in elderly care facilities using multimodal sensors.

Sarah Ali

Infant Movement Analysis Using Computer Vision

Started: 2021 | Expected: 2025

Working on automated detection of abnormal movement patterns in infants for early diagnosis of neurological disorders.

Muhammad Hassan

Wearable Sensors for Rehabilitation Assessment

Started: 2023 | Expected: 2027

Designing intelligent wearable sensor systems for quantitative assessment of stroke rehabilitation progress.

Dr. Fatima Sheikh

Multimodal Activity Recognition for Healthcare Applications

Period: 2019-2023

Thesis: Multimodal Activity Recognition for Healthcare Applications (2023)

Current: Assistant Professor, LUMS

Dr. Ali Raza

3D Pose Estimation for Clinical Gait Analysis

Period: 2018-2022

Thesis: 3D Pose Estimation for Clinical Gait Analysis (2022)

Current: Research Scientist, Microsoft Research

Dr. Ayesha Malik

Pattern Recognition in Physiological Sensor Data

Period: 2017-2021

Thesis: Pattern Recognition in Physiological Sensor Data (2021)

Current: Senior Data Scientist, Google Health

Dr. Hassan Khan

Machine Learning for Medical Diagnosis

Period: 2016-2020

Thesis: Machine Learning for Medical Diagnosis (2020)

Current: AI Research Lead, IBM Watson

Dr. Maryam Ahmed

Computer Vision for Healthcare Applications

Period: 2015-2019

Thesis: Computer Vision for Healthcare Applications (2019)

Current: Assistant Professor, NUST