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π About Me
I am Md Raihan Subhan, a Ph.D. candidate in Computer Science with Interdisciplinary Applications at the University of Texas Rio Grande Valley (UTRGV), where I work as a Graduate Research Assistant under the guidance of Dr. Murad Moqbel. My research focuses on the integration of Artificial Intelligence (AI), Machine Learning (ML), and Blockchain to address complex problems in various industrial domains, including cybersecurity, predictive maintenance, and autonomous systems.
π¬ Research Focus
My current research interests encompass:
Anomaly Detection: Developing advanced ML techniques to detect anomalies in industrial systems.
Blockchain Integration: Exploring decentralized solutions for secure data exchange and system transparency.
AI for Intelligent Systems: Implementing AI-driven models for predictive analytics and optimization in real-time systems.
I am dedicated to bridging theoretical concepts with real-world applications to provide impactful solutions in emerging fields such as IoT, autonomous vehicles, and cyber-physical systems.
π‘ Ongoing Projects
Currently, I am involved in the following projects:
Blockchain for Autonomous Systems: Investigating the role of blockchain in enhancing the security and transparency of autonomous systems.
AI-Based Anomaly Detection: Utilizing deep learning models to detect and mitigate anomalies in critical industrial infrastructures.
π Academic Background
Ph.D. in Computer Science with Interdisciplinary Applications, University of Texas Rio Grande Valley (Since September 2025)
Master of Engineering (M.Eng.) in IT Convergence Engineering, Kumoh National Institute of Technology (2023)
Master of Science (M.Sc.) in Applied Statistics and Data Science, Bangladesh (2021)
Bachelor of Science (B.Sc.) in Computer Science and Engineering, Bangladesh (2018)
π€ Professional Vision
My aim is to leverage cutting-edge technologies, such as AI, ML, and blockchain, to design innovative solutions that improve efficiency, security, and decision-making processes across diverse industries. I am committed to advancing technology that has real-world impact and long-term value.
π« Let's Connect
I am open to academic collaborations, discussions, or networking opportunities related to AI, ML, and blockchain applications. Please feel free to reach out for further conversation or potential collaboration.
In a recent advancement, I, along with researchers at the University of Texas Rio Grande Valley (UTRGV), have pioneered a novel approach to enhancing maritime logistics by integrating blockchain technology with AI-driven anomaly detection systems. This innovative method aims to improve the transparency, efficiency, and security of maritime operations, addressing some of the industry's most critical challenges.
By combining blockchain for secure and transparent data exchange with AI techniques for real-time anomaly detection, we have developed a robust system that ensures the traceability of goods, significantly reducing the risk of fraud and enhancing trust among stakeholders. This research holds the potential to reshape the future of global trade, offering a scalable solution for more efficient, reliable, and secure maritime logistics.
The implications of this work are far-reaching, with promising applications that can drive positive change in global trade practices, streamline operations, and elevate security standards within the maritime industry.
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