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Dr. Khan is an international leader in Big Data Analytics (BDA), a key aspect of data science. He has been instrumental in educating the students in BDA at UTD, for several years. He was also successful in writing multiple proposals to NSF and getting funding for experimental research and introduced his BDA students to research projects. His BDA class has often had enrollments of around 130 and is extremely popular. He has also developed a BDA framework and collaborates with faculty at EPPS (e.g., Profs. Jennifer Holmes and Patrick Brandt) and shares his framework with them for their applications in political science. Together with EPPS professors as well as through other collaborations (e.g., UIUC, U of MN) he has brought in millions of dollars in federal funding in this area. He is known worldwide as the Data Science person at UTD by eminent researchers.
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ACM Transactions on Knowledge Discovery from Data (2024)
International Conference on Information Systems Security and Privacypp.309-319, (2024)
ACM TRANSACTIONS ON PRIVACY AND SECURITYno. 4 (2023): 51:1-51:36
Wooseong Yang, Sultan Alsarra, Luay Abdeljaber, Niamat Zawad, Zeinab Delaram,Javier Osorio,Latifur Khan,Patrick T. Brandt, Vito D'Orazio
2023 7th IEEE Congress on Information Science and Technology (CiSt)pp.287-292, (2023)
EMNLP 2023 (2023): 15419-15431
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Ming Feng,Zhao Chen, Zhuoyi Wang, Sadaf Halim,Xiaodi Li, Zhouxiang Wu,Latifur Khan,Bhavani Thuraisingham
arXiv (Cornell University) (2023)
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IEEE Transactions on Dependable and Secure Computingno. 5 (2023): 3957-3969
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