Dr. Latifur Khan, a professor of computer science at The University of Texas at Dallas, has been elected to the 2024 class of American Association for the Advancement of Science (AAAS) fellows for his contributions to machine learning with applications in cybersecurity, social sciences, and data management. As one of 471 scientists recognized across 24 disciplinary sections, Khan will be honored at a June 7 event in Washington, D.C. His work focuses on big-stream data analytics, big-data management, and machine learning in cybersecurity, areas where he has made significant advancements.
Dr Latifur Khan Elected AAAS Fellow
Dr. Latifur Khan, a professor of computer science at The University of Texas at Dallas, has been elected to the 2024 class of AAAS Fellows for his distinguished contributions to machine learning with applications in cybersecurity, social sciences, and data management. This recognition highlights his significant work in advancing computational methods that address complex challenges across multiple disciplines.
Khan’s expertise lies in big-stream data analytics, a field focused on processing large, continuous streams of data. His research has led to innovative solutions in cybersecurity, where he developed mechanisms to adapt machine learning models as cyber threats evolve. Additionally, he collaborated with social scientists to create ConfliBERT, an AI-driven tool that analyzes political conflict and violence, demonstrating the interdisciplinary impact of his work.
The AAAS elected Khan for his leadership in advancing data mining algorithms and their applications, underscoring his role as a pioneer in computational science. His contributions have been supported by various agencies, including the National Science Foundation and the Department of Defense, reflecting the broader significance of his research.
Khan’s academic journey began at Bangladesh University of Engineering and Technology, followed by graduate studies in the United States. His achievements include fellowships with IEEE, the British Computer Society, and The Institution of Engineering and Technology, along with numerous awards for technical excellence and innovative contributions to computing.
Collaboration on AI Tools for Social Sciences
Dr. Latifur Khan’s collaboration with social scientists has led to the development of ConfliBERT, an AI-driven tool designed to analyze political conflict and violence. This interdisciplinary project demonstrates how machine learning can bridge technology and social studies, offering new insights into complex societal issues. By fostering such collaborations, Khan highlights the versatility of computational methods in addressing real-world challenges beyond traditional technical domains.
The creation of ConfliBERT underscores the importance of integrating AI into social sciences to enhance understanding and analysis of political phenomena. This tool exemplifies how advanced computational techniques can provide actionable insights, contributing to both academic research and practical applications in conflict resolution and policy-making.
Recognition of Achievements and Honors
Dr. Latifur Khan’s election as an AAAS Fellow underscores his pivotal role in advancing machine learning, particularly through adaptive models that enhance cybersecurity defenses. His work focuses on real-time updates to machine learning systems, ensuring they remain effective against evolving cyber threats. This approach addresses the critical challenge of maintaining robust security measures in a dynamic threat landscape.
Funding from agencies like the NSF and DoD has enabled Dr. Khan to pursue impactful research, demonstrating the tangible benefits of his work across various domains. His methodologies, characterized by precision and adaptability, continue to advance both academic research and practical applications, solidifying his reputation as a leader in computational science.
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