Latifur Khan joined the UTD faculty in 2000 and is currently Professor of Computer Science. Dr. Khan's research interests include:
- Big data management and analytics
- Data mining
- Database systems
- Semantic web
- Complex data management (multimedia, geo-spatial)
- Multimedia information management
- Intrusion detection
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(Association For Computing Machinery, Inc, 2019-05)Good quality similarity metrics can significantly facilitate the performance of many large-scale, real-world applications. Existing studies have proposed various solutions to learn a Mahalanobis or bilinear metric in an ...
Classified Enhancement Model for Big Data Storage Reliability Based on Boolean Satisfiability Problem (Springer New York LLC, 2019-05-11)Disk reliability is a serious problem in the big data foundation environment. Although the reliability of disk drives has greatly improved over the past few years, they are still the most vulnerable core components in the ...
Failure of a wind turbine is largely attributed to faults that occur in its gearbox. Maintenance of this machinery is very expensive, mainly due to large downtime and repair cost. While much attention has been given to ...
Cyber security and data science are two of the fastest growing fields in Computer Science and more recently they are being integrated for various applications. This position paper will review the developments in applying ...
In the big data processing systems, the amount of data is increasing. At the same time, the real-time requirement of data processing and analysis is higher and higher. Therefore, it is required that the big data processing ...
Due to the centralization of authority in the management of data generated by IoT devices, there is a lack of transparency in how user data is being shared among third party entities. With the popularity of adoption of ...