👋 Hi, I'm Badar

Bringing Novel Ideas to Life through Published Insights

Machine Learning | Sports Analytics | Healthcare | Statistics

About Me

A researcher specializing in AI and machine learning, with expertise in predictive modeling, statistical modelling, deep learning, IoT, sensors, and signal processing. My impactful research, published in leading journals such as IEEE, Springers, Wiley, CMC, and PeerJ, has attained over 530 citations, reflecting significant academic and practical contributions.

Machine Learning Statistical Analysis Sports Analytics Healthcare Data Python R TensorFlow IoT
530+
Total Citations
12
Research Papers
5+
Years Experience
6
Research Areas

Research Focus

Areas of expertise and ongoing research

Artificial Intelligence

Leveraging AI and machine learning and data analysis to uncover insights in image, videos, signal, and sports data.

Healthcare

Investigating machine learning applications in healthcare data analytics, with a focus on predictive modelling and patient outcomes.

Statistical Analysis

Utilizing advanced statistical methods for data analysis and interpretation to inform decision-making processes in various sectors.

Research Impact

Citation Metrics

Total Citations 530+
Publications 12
h-index 10
i10-index 10

Publication Impact

IEEE 231
MDPI 245
Springer 12
CMC 6
PEERJ 1
Wiley 4

Research Focus

Machine Learning 40%
Sports Analytics 25%
Healthcare 20%
IoT 15%

Projects

Research and development projects with code repositories

IM-WSHA Dataset

A comprehensive smart home dataset using triaxial IMU sensors for human activity recognition. Features 11 different activities captured from wrist, chest, and thigh regions.

Machine Learning IoT Data Collection Python

LSTM-based Credit Card Fraud Detection

Advanced fraud detection system using LSTM neural networks for real-time transaction analysis. Features multiple risk factor analysis and user behavior pattern recognition.

Deep Learning LSTM Flask PyTorch

Context-Aware Predictive Smart Home System

CAPSULE (Context-Aware Predictive Smart Home Use & Logic Engine) is a modular smart home framework leveraging context-aware reasoning and predictive control for real-time IoT device automation.

Context-Aware Predictive-Modelling Behaviour Prediction IoT

Publications

Human Verification over Activity Analysis via Deep Data Mining

Computers, Materials and Continua 2023
K Abhishek, SB ud din Tahir
Cited by 5
View Article

Hand gesture recognition via deep data optimization and 3D reconstruction

PeerJ Computer Science 2023
Z Mustafa, H Nsour, SB ud din Tahir
Cited by 1
View Article

Anomaly Prediction over Human Crowded Scenes via Associate-Based Data Mining and K-Ary Tree Hashing

International Journal of Intelligent Systems 2023
A Yasin, SB ud din Tahir, J Frnda, R Fatima, J Ali Khan, MS Anwar
Cited by 4
View Article

Contact Me

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