基本信息
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Bio
Bilal Khan (Senior Member, IEEE) received the first M.Sc. degree in pervasive computing, the second M.Sc. degree in computer science, and the Ph.D. degree in computer science (artificial intelligence) with the thesis title “Game theoretic coalitional routing in cooperative vehicular ad hoc networks.” From 2013 to 2020, he was an Assistant Researcher with the University of California, Los Angeles (UCLA), where he developed the most robust and comprehensive decision support systems as an online nanoinformatics platform to assist regulatory bodies in the management of nanotechnology. The nanoinformatics platform consists of machine learning and data mining models that are supported by the largest database of nanomaterials. He maintained the platform via a high-performance computing cluster that was designed from scratch (with 24 compute nodes and 115TB of storage space for high-performance computations and simulations). At UCLA, he also led the development of a cyber-infrastructure for a virtual water district for efficient use and consumption of water in small rural agricultural communities. In addition, he developed data-driven approaches (using machine and deep learning techniques) for water use patterns in small communities as online applications.
Research Interests
Papers共 130 篇Author StatisticsCo-AuthorSimilar Experts
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Nathan A. Kelly,Bilal M. Khan, Muhammad Y. Ayub,Abir J. Hussain,Khalil Dajani, Yunfei Hou,Wasiq Khan
DATA IN BRIEF (2024): 110027-110027
JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCSno. 2 (2024): 155-168
Bulletin des Sciences Mathématiquespp.103405, (2024)
AIN SHAMS ENGINEERING JOURNALno. 5 (2024): 102657
Arab Journal of Basic and Applied Sciencesno. 1 (2024): 65-70
DEMONSTRATIO MATHEMATICAno. 1 (2024): 159-177
Journal of Nonlinear Sciences and Applicationsno. 04 (2023): 198-207
WATERno. 5 (2023): 847-847
FRACTAL AND FRACTIONALno. 4 (2023): 295-295
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