Khan, Latifur
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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
Works in Treasures @ UT Dallas are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).
Recent Submissions
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Towards Self-Adaptive Metric Learning on the Fly
(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 ... -
SAIL: A Scalable Wind Turbine Fault Diagnosis Platform: A Case Study on Gearbox Fault Diagnosis
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 ... -
Integrating Cyber Security and Data Science for Social Media: A Position Paper
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 ... -
A Complex Task Scheduling Scheme for Big Data Platforms Based on Boolean Satisfiability Problem
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 ... -
Decentralized IoT Data Management Using BlockChain and Trusted Execution Environment
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 ...
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