Muhammad Sharjeel Anjum

About Me

I am an AI researcher and machine learning engineer with over 4 years of experience in developing machine/deep learning algorithms for real-world applications. My expertise lies in adversarial machine learning, real-world automation, worker safety, and health monitoring, with a specific focus on fatigue and muscle fatigue. I strive to leverage AI to solve complex problems and enhance safety in various domains.

Projects

• AI Researcher at IvWorks Company (South Korea): Worked on identifying anomalies in semiconductor manufacturing using time series and vision data.
• Research Assistant at CONTIL (Chung-Ang University): Developed ML/DL models for construction worker safety using embedded computer vision systems.
• Instructor at Kainat School System: Taught computer science and lab courses to middle school students.

Research Interests

• Adversarial Machine Learning
• Automation in Real-World Scenarios
• Worker Safety and Health Monitoring
• Central Fatigue and Muscle Fatigue Monitoring
• AI-Driven Solutions for Complex Problems

Visit my Google Scholar profile for full details.

Publications

• Rotation Error Detection of GaN Substrate in MBE using Ensemble Learning – ACS Publisher (IF: 4.1)
• Fall Prevention From Ladders Using Deep Learning-Based Height Assessment – IEEE Access (IF: 4.34)
• Deep Learning Mitosis Recognition for Uterine Leiomyosarcoma – Cancer Journal (IF: 7.6)
• IoT-based Safety Hook Monitoring for Fall Prevention – Automation in Construction (IF: 11.45)
• Scaffold Fall Prevention Using Vision & IoT – J. of Construction Eng. Mgmt (IF: 3.9)

Conference Papers

• Immersive Interaction Framework for Construction Training – CSCE, Canada, 2024
• AI-based Safety Helmet Recognition – IEEE ICAIET, 2022
• Deep Learning Floor Opening Detection – ISARC, 2022
• CV and Sensor Fusion for Opening Detection – ICCPM, 2022
• Wearable-Based Fall and Activity Classification – IEEE ICAIET, 2022
• IMU-based Smart Safety Hook – IEEE TENSYMP, 2022
• Fall Potential Detection for Lone Workers – ISARC, 2022
• Blockchain & CV for Site Safety Management – ICCPM, 2022
• AprilTag & SVIO Indoor Localization – ICCPM, 2022

Contact Me

• Email: malikanjum833@gmail.com
• Location: College Station, Texas