I’m Mohammad Shahedur Rahman, a Ph.D. student in the Computer Science department at The University of Texas at Arlington (UTA), where I am honored to work at the Graph Lab under the guidance of Dr. Yuede (YJ) Ji. My research spans AI security, graph AI, and scalable graph analytics, with a particular focus on risk analysis in the AI supply chain, especially large language models. I aim to leverage graph AI, machine learning, and security engineering to design innovative, scalable, privacy-preserving, and resilient solutions that mitigate evolving threats, ensure compliance, and deliver measurable business impact in complex digital environments.

Prior to my doctoral pursuit, I accrued over 12 years of professional expertise in Bangladesh's diversified domains, such as fintech, consultancy, government institutions, holding pivotal roles such as Chief Information Security Officer (CISO) at BRAC Bank PLC. I also contributed to national infrastructure projects as an IT auditor and security consultant for the Bangladesh Government on projects like the (Tier IV National Data Center, National Data Center (NDC) and BGD e-GOV CIRT) funded by the World Bank Group.

My career is further distinguished by my work with IBM Bangladesh and KPMG Bangladesh, one of the "Big Four" accounting firms, where I honed deep expertise in cybersecurity, risk management, and IT auditing. These experiences have solidified my expertise in shaping security strategies for large-scale enterprises and national projects.

Looking ahead, I aspire to take on strategic leadership roles in AI security, digital transformation, risk governance, and cybersecurity innovation, bridging academic research and industry practice. My goal is to shape secure AI policies, lead impactful digital transformation programs, and help build trustworthy, scalable digital ecosystems that advance resilience, privacy, and responsible innovation.

Download my resumé / CV