Assistant Professor, University of South Asia
10 years of experience
Pakistan
My primary focus has been on Artificial Intelligence, Machine Learning, Data Science, and Blockchain systems, which I have deployed in real-world projects involving smart grids, electric vehicles, anomaly detection, secure data storage, and healthcare applications.
During my Ph.D. and subsequent Postdoctoral Fellowship at COMSATS University Islamabad, I worked extensively with specialised simulation and modelling tools, including MATLAB/Simulink, TensorFlow, PyTorch, and Scikit-learn. I have hands-on experience in installing, configuring, and troubleshooting these platforms to build digital models such as energy management systems, anomaly detection frameworks, and blockchain-based data security architectures. These tools function as the backbone of scientific research and industrial innovation, and I have both utilised them in my own projects and trained students, researchers, and faculty colleagues in their effective use.
In addition to computational platforms, I have worked with blockchain environments (e.g., Ethereum-based smart contracts, Hyperledger frameworks) to design secure and scalable solutions for data sharing, energy trading, and healthcare systems. My role often involved developing technical documentation, preparing lab manuals, and conducting training sessions for graduate students and junior researchers on how to implement, test, and troubleshoot these systems.
In the context of medical applications, my research has emphasised AI-assisted decision support systems, secure medical data management, and blockchain-enabled trust models for healthcare networks. While not working with MRI or HPLC equipment directly, I have contributed to building the digital infrastructure that supports such medical systems, ensuring data integrity, privacy, and intelligent analysis through machine learning.
I have also served as a faculty member and academic trainer, developing curriculum roadmaps, lab manuals, and training modules for degree programs in Data Science, Artificial Intelligence, and Cybersecurity. These experiences further strengthened my ability to train others in the use of specialised technical platforms, ensuring that both students and professionals gain hands-on expertise.
Complementing my research and teaching, I hold certifications in AI, Generative AI, Cybersecurity, and Blockchain, which provide me with updated knowledge of current industrial and scientific tools. This blend of research, technical expertise, and teaching experience positions me well to contribute as a COMSTECH expert in supporting industrial, scientific, and medical communities through training, troubleshooting, and applied innovation.
I specialize in AI, Machine Learning, Data Science, and Blockchain with applications in smart grids, electric vehicles, and secure urban systems. My expertise includes computational modeling, digital twins, and simulation tools (MATLAB, TensorFlow, PyTorch, Scikit-learn) for industrial and scientific use. In the medical domain, I focus on AI-assisted decision support, medical data security, and blockchain-enabled healthcare systems.
https://scholar.google.com/citations?hl=en&user=msJxHikAAAAJ