Research Profile

My research focuses on biomedical signal processing, multimodal learning, neurophysiological decoding and intelligent healthcare systems. My work spans physiological and neurophysiological signal analysis, machine and deep learning, wearable biosensing, and the deployment of AI models for embedded and real-time operation.

Research Interests

Biomedical Signal Processing Multimodal AI Neurophysiological Decoding AI in Healthcare Brain-Computer Interfaces Wearable Biosensing Embedded AI Real-Time Machine Learning Biomedical Computer Vision

Academic & Research Experience

Research Associate

Innovation Central Canberra, University of Canberra

Casual Academic

University of Canberra, Australia

Doctoral Researcher

University of Canberra, Australia

Research in biomedical signal processing and artificial intelligence for objective pain assessment, including multimodal physiological sensing and real-time embedded inference.

Team Lead, Signal/Image Processing

Syndicate of Electronic and Embedded Design (SEED), UET Taxila

Research leadership in biomedical signal analysis, image processing, machine learning and embedded intelligent systems.

Lab Engineer

Department of Electronics Engineering, University of Engineering and Technology Taxila

Academic, laboratory and research activities spanning signal processing, biomedical signal analysis, programming, communications, control systems and artificial intelligence.

Education

PhD

University of Canberra, Australia

Research area: Biomedical Signal Processing and AI in Healthcare

Thesis: Multimodal Signal Processing based Identification of Human Pain

BS Electronics Engineering

COMSATS Institute of Information Technology, Pakistan

Technical Expertise

Biosignals

EEG · fNIRS · EDA · PPG/BVP · ECG · EMG · PCG

Machine & Deep Learning

CNNs · LSTMs · Transformers · Multimodal Learning · Representation Learning

Programming & Frameworks

Python · MATLAB · C/C++ · PyTorch · TensorFlow · Git

Biomedical Platforms

BIOPAC · EmotiBit · Artinis fNIRS · PLUX Biosignals

Embedded Systems

Raspberry Pi · STM32 · Edge AI · Real-Time Inference · Sensor Integration

Signal Processing

Filtering · Spectral Analysis · Time-Series Analysis · Feature Extraction · Physiological Signal Processing

Selected Publications

2026

GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion

Information Fusion
DOI

2026

Pain Intensity Estimation via Multimodal Fusion: Leveraging Ternary Textures of Derivatives in EDA and PPG Signals

Biomedical Signal Processing and Control
DOI

2025

A Systematic Review of Multimodal Signal Fusion for Acute Pain Assessment Systems

ACM Computing Surveys
DOI

2025

Empirically Transformed Energy Patterns: A Novel Approach for Capturing fNIRS Signal Dynamics in Pain Assessment

Computers in Biology and Medicine
DOI

2024

Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy

Sensors
DOI

Teaching

Teaching experience includes signal processing, biomedical engineering, artificial intelligence, computer engineering, programming, data, web and mobile technologies, and AR/VR at the University of Canberra and UET Taxila.

Academic Service

Peer Review

Reviewer for journals including Biomedical Signal Processing and Control, Engineering Applications of Artificial Intelligence and Expert Systems with Applications.

Academic Leadership

Previous responsibilities at UET Taxila included research team leadership, IEEE student branch activities, alumni and placement services, career counselling, and participation in outcome-based education assessment.

Awards & Scholarships

W J Weeden Postgraduate Research Scholarship
University of Canberra

National ICT R&D Scholarship
Four-year undergraduate scholarship for Electronics Engineering

1st Prize, Project Exhibition
COMSATS Institute of Information Technology, 2011

3rd Prize, Open House
COMSATS Institute of Information Technology, 2012

Research Profiles