Rana Talha Khalid
Aspiring Biomedical Researcher & Innovation Enthusiast
Passionate about advancing Smart Biomaterials, AI-driven Biosensors, and Wearable Technologies for early disease detection and personalized healthcare management.
About Rana Talha Khalid - Aspiring Biomedical Researcher
Rana Talha Khalid is a passionate Biomedical Engineering graduate from Riphah International University, Lahore, Pakistan, dedicated to advancing Smart Biomaterials, AI-driven Biosensors, and Wearable Technologies for early disease detection and personalized healthcare management. Proficient in COMSOL Multiphysics (material and biosensor simulation), MATLAB, LabVIEW, and SolidWorks for modeling and design. Experienced in circuit simulation using Proteus, Multisim, and EasyEDA, and in microcontroller programming with Arduino, Raspberry Pi, and PIC. Skilled in AI model development using TensorFlow, PyTorch, and Python, focusing on biosignal processing, deep learning (CNN, LSTM, Transformers), and device optimization. Adept at Flutter and Dart for mobile health app development, and knowledgeable in thermal and material degradation analysis, 3D prototyping, and data-driven healthcare system design.
Education - Rana Talha Khalid
Bachelor of Science in Biomedical Engineering
Specialized in biomedical systems, materials processing, and engineering simulation. Developed strong analytical, programming, and research skills with a focus on innovation and technology integration in healthcare.
- CGPA: 3.77 / 4.00
- IELTS: 7 Bands Overall
Research Publications by Rana Talha Khalid
Advances in Polyvinylidene Fluoride (PVDF) for Self-Powered Wearable Physiological Monitoring and Energy Harvesting Applications
Reshaping the Healthcare World by AI-Integrated Wearable Sensors Following COVID-19
Electrospun Nanofibers for Wearable Cardiovascular Health Monitoring
Next-generation wearable ECG systems: Soft materials, AI integration, and personalized healthcare applications
Hybrid Sensor Integration in Wearable Devices for Improved Cardiovascular Health Monitoring
A Semi-Automated Framework for Standardized Vertebral Measurement with Enhanced Reproducibility in Lumbar Spine MRI Analysis
Technical Skills & Expertise - Rana Talha Khalid
Material Processing
- COMSOL Multiphysics (for material behavior simulation)
- Thermal analysis
- Material degradation analysis
3D Model Design
- SolidWorks
- SketchUp
Mathematical Modeling & Simulation
- COMSOL Multiphysics
- Python & MATLAB
- AutoCAD
- Circuit Design
Microcontrollers
- Arduino
- Raspberry Pi
- PIC 18
Development
- Mobile App Development using Flutter
- Dart
- C++, C#
- Python (TensorFlow, PyTorch)
Artificial Intelligence
- Deep Neural Networks for biosignals and bioimaging
- Machine Learning for device optimization
- Custom AI model development using TensorFlow and PyTorch
- Biosignal processing with feature extraction and wavelet denoising
Professional Experience - Rana Talha Khalid
Lab Engineer
Conduct lab sessions and experiments, guiding students through
hands-on activities to reinforce engineering concepts and ensure
safe, effective use of laboratory equipment
Perform administrative tasks, and supervise student projects,
providing technical support and troubleshooting assistance
during practical assignments
Undergrad Research Assistant at Biosensors Lab
Worked on Modeling and Simulation of Hydrogel-based Heart Rate
sensors using COMSOL Multiphysics.
Developed a hybrid AI model (Transformer + CNN) using TensorFlow
for ECG classification, achieving 92% accuracy.
Biomedical Trainee (Part-Time)
Worked on endoscopic systems focusing on CCD and CMOS sensors
for real-time imaging.
Assisted in preparing technical documentation and client-facing
PowerPoint presentations.
Biomedical Trainee (Part-Time)
Analyzed operational principles of cardiac monitors,
ventilators, and MRI systems.
Assisted in regulatory compliance and audit during the Punjab
Healthcare Commission visit.
Featured Projects by Rana Talha Khalid
UPEC: A Multi-Modal AI-Powered Device for Portable ECG, PCG, and PPG Cardiac Diagnostics
Developed a compact handheld device capturing echocardiograms, phonocardiograms, and respiratory auscultations to classify diseases using a Hybrid LSTM-CNN network (AUC >97%) for early cardiopulmonary disease detection and real-time arrhythmia alerts.
EEG-Driven Motor Imagery Classification for Gamified Stroke Rehabilitation
This project developed a CNN-Transformer–based EEG classification system achieving 88% accuracy, 89% precision, and 87% F1-score in detecting motor imagery intent levels for stroke rehabilitation. The model powers a gamified neurorehabilitation platform that provides real-time biofeedback and quantifiable neuroplasticity metrics to enhance motor recovery.
PVA Hydrogel-Based Heart Rate Model
Modeled and simulated hydrogel-based heart rate sensor using COMSOL Multiphysics to explore bio-mechanical response and performance characteristics.
CardioRespiAnalyzer
Designed a MATLAB app for cardiovascular and respiratory sound analysis using advanced filtering, spectral analysis, and real-time visualization tools.
Gesture-Controlled Robotic Arm
Built a robotic arm using MPU6050 sensor and Arduino to control motion based on hand gestures, enhancing intuitive robotics design.
Hepatic Cancer Therapy Model
Modeled and simulated multimodal hepatic cancer therapy in COMSOL, integrating thermal and drug transport models for treatment optimization.
Online Courses & Certifications - Rana Talha Khalid
Machine Learning Specialization
- Supervised Machine Learning: Regression and Classification
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
Cancer Biology Specialization
- Introduction to the Biology of Cancer
- Understanding Cancer Metastasis
- Understanding Prostate Cancer
Healthcare Data Literacy
Foundations of Healthcare Systems Engineering
How to Write and Publish a Scientific Paper (Project-Centered Course)
MATLAB Onramp & App Building Onramp
Awards, Leadership & Volunteer Activities - Rana Talha Khalid
Awards & Honors
- 1st Runner-Up position at ETECTE'23 (2nd International Conference on Emerging Trends in Electrical, Control and Telecommunication Engineering) for poster presentation on "Use of AI-Enhanced Wearable Sensors for Cardiac Parameter Analysis in COVID-19 Patients".
- Mukhawat Scholarship — 50% Tuition Fee Coverage based on maintaining CGPA above 3.50/4.00.
- Tameer Scholarship — 100% to 75% Tuition Fee Coverage based on 1st and 2nd position in final exams, respectively.
- Forward-Thinking Pioneer Award (RSES)
- Mentorship Excellence Award (RSES)
Leadership
Technical Team Lead / Founding Member, Riphah Society of Engineering and Sciences (RSES), Riphah International University, Pakistan (Mar 2023 – Present)
- Co-founded the society to facilitate technical sessions and interactive events for hands-on experience with emerging technologies.
- Organized 3 industry engagement activities and over 8 detailed workshops on emerging tools and technologies, connecting students with professionals to bridge the gap between academia and industry.
Volunteer & Extracurricular Activities
- Volunteered at 34 blood donation drives organized by the Blood Donation Society and Al-Khidmat Foundation.
- Won 2 debate competitions, developing strong public speaking and argumentation skills.
- Active member of Al-Khidmat Foundation: participated in iftar drives, clean environment drives, and blood donation events.
- Member of Crisis Text Line, providing emotional support through crisis counseling.