Hey, I'm Sharjeel 👋
I turn complex data into intelligent safety systems.
AI Researcher & Machine Learning Engineer with 5+ years building adversarial ML models, physiological monitoring systems, and safety-critical applications at Texas A&M University.
The Researcher Behind the Models
Not just algorithms — I build the AI systems that keep people safe.
I'm Sharjeel, a third-year PhD student at Texas A&M University, currently conducting research as a Graduate Hagler Fellow. My work focuses on machine learning for physiological data, with emphasis on personalized fatigue monitoring in safety-critical settings.
Before the fellowship, I built adversarial ML algorithms at the SIIR Lab, developed anomaly detection systems at IvWorks (South Korea), and designed worker safety monitoring at Chung-Ang University.
My expertise spans adversarial machine learning, real-world automation, worker safety, and health monitoring with a focus on fatigue and muscle fatigue.
I strive to leverage AI to solve complex problems and enhance safety across various domains by bridging the gap between cutting-edge research and practical implementation.
Work Experience
5+ years across academia, industry, and teaching.
- Developed robust and adversarial ML algorithms in PyTorch for safety‑critical applications.
- Led ML model development for physiological sensor data and built supporting Android applications.
- Contributed to an NSF‑funded VR data‑sensing project for K–12 students using Unity (C#).
Research Interests
My work sits at the intersection of AI, safety, and real-world deployment.
Adversarial Machine Learning
Building robust models that withstand adversarial attacks in safety-critical deployments.
Real-World Automation
Translating ML research into deployed systems for industrial and construction contexts.
Worker Safety Monitoring
Computer vision and IoT-based systems for fall prevention and hazard detection on job sites.
Fatigue Detection Systems
Personalized physiological monitoring using ML to detect and predict muscle and cognitive fatigue.
Selected Publications
Key peer-reviewed contributions across AI, automation, and safety.
IoT-based Safety Hook Monitoring for Fall Prevention
Deep Learning Mitosis Recognition for Uterine Leiomyosarcoma
Fall Prevention From Ladders Using Deep Learning-Based Height Assessment
Rotation Error Detection of GaN Substrate in MBE using Ensemble Learning
Scaffold Fall Prevention Using Vision & IoT
Awards & Honors
Proof that the work speaks for itself.
Graduate Hagler Fellow
Graduate Hagler Fellow supporting research on machine learning for physiological data and personalized fatigue monitoring, including a competitive stipend and institute support.
Data Science Ambassador Scholarship
Data Science Ambassador Scholarship for conducting deep learning workshops on neural network techniques and guiding participants in dataset preparation and problem-solving.
Patent Recognition
Patent filed at Texas A&M Innovation for work at the intersection of AI and intelligent systems.
Young Scientist Scholarship
Young Scientist Scholarship for the Master's program at Chung-Ang University covering tuition and research support.
Department-Level Scholarship
Department-level merit scholarship awarded during the Master's studies in 2021.
Gallery
Conferences, collaborations & campus moments.
Research Presentation
Gave a talk on embodied interaction, funded by the National Science Foundation, at the recent CSCE Conference held in Niagara Falls, Canada 🇨🇦. Specifically, the presentation addressed the following question: How can embodied interaction be leveraged for construction site inspection? This question was addressed by developing a conceptual framework and validating it through experiments using drones with embodied interaction for site inspection.
Mentoring
One of my students, whom I mentored under the NSF REU program, presented a poster on the development and deployment of a machine learning model on an edge device for physical fatigue monitoring.
Team Collaboration
Our lab collaborated with an education team to introduce K–12 students at Caldwell High School, Texas, to data sensing technologies. We conducted a four-day session focused on teaching data sensing in VR and supporting the development of students' career interests.
AI Summit Attendance
Attended the Global AI summit at KinTex, South Korea.
European Council on Computing in Construction
I attended the ECCC in 2021 to better understand the use of computing technologies such as AI in construction. The summer school was very successful.
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Campus Life
Sample description text capturing moments from life at Texas A&M University.
Ready to collaborate?
Whether you're looking for a research collaborator, need consulting on an ML project, or just want to talk AI, I'd love to hear from you.
malikanjum833@gmail.com
Location
College Station, Texas