Md Mojibur Rahman Redoy Akanda
Howdy!
I am a Ph.D. candidate in Computer Science and a Mobil Aggies Future Faculty Fellow (F3) at Texas A&M University, under the supervision of Prof. Nitesh Saxena at the SPIES Lab.
I began my Ph.D. in Spring 2022, and my research focuses on security and privacy in modern and emerging digital technologies, with the overarching goal of ensuring that these technologies remain secure and accessible for all users. In particular, I investigate the often-overlooked connection between accessibility and security by examining how design limitations can make systems inaccessible to users with diverse abilities and interaction needs, preventing them from effectively accessing or understanding security-critical information and making it difficult to recognize threats. I study how attackers can exploit these limitations, disproportionately affecting these users while potentially extending the consequences to the broader user population, and develop systematic frameworks to identify, analyze, and mitigate these risks before they cause harm. I also investigate security and privacy challenges in emerging interaction technologies, particularly extended reality (XR), where rich sensing capabilities that enhance user experiences can also reveal sensitive information about users and their environments. To address these challenges, I develop mechanisms to mitigate information leakage and enable secure, accessible, and seamless interactions.
I have published several papers in leading, top-tier venues, including ACM CCS (three papers), The Web Conference (WWW), and USENIX Security, with one receiving a Distinguished Paper Award at ACM CCS 2025. In addition, I have published in respected journals and contributed to book chapters. I also have several papers currently under review at top-tier venues and additional projects in progress, with planned submissions to leading conferences and journals. My research has also been featured in national and international media, including Newsweek, MSN, Yahoo! Tech, and The Indian Express, and has been recognized with the Graduate Research Excellence Award from the Department of Computer Science and Engineering at Texas A&M University.
