S
Shafiqul Islam
Researcher at Xavier University of Louisiana
Publications - 259
Citations - 8499
Shafiqul Islam is an academic researcher from Xavier University of Louisiana. The author has contributed to research in topics: Adaptive control & Computer science. The author has an hindex of 42, co-authored 206 publications receiving 7637 citations. Previous affiliations of Shafiqul Islam include Khalifa University & Harvard University.
Papers
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Journal Article
Satellite remote sensing-based forecasting of cholera outbreaks in the Bengal Delta
TL;DR: In this article, a forecasting model for cholera outbreaks in the Bengal Delta using satellite remote sensing data with a prediction lead time of 2 to 3 months is proposed, which is based on the existing understanding and to develop a forecasting modelling framework for cholerae outbreaks.
Proceedings ArticleDOI
Vapor Cloud Delayed-DPPM Modulation Technique for Nonlinear Optoacoustic Communication
TL;DR: In this article , a vapor cloud delayed-differential pulse position modulation (VCD-DPPM) was proposed to improve the data rate and achieve high power efficiency for a single stationary laser transmitter.
Journal ArticleDOI
Improvement of modified maximum force criterion for forming limit diagram prediction of sheet metal
TL;DR: In this paper , a new Modified Maximum Force Criterion (MMFC2) was proposed for predicting the forming limit curve (FLC) of sheet metal, which is more sensitive to the employed constitutive model than that of the original MMFC.
Book ChapterDOI
Hydroclimatology and Large-Scale Population Vulnerability to Cholera Outbreaks in the Bengal Delta
TL;DR: Evidence points to large-scale population vulnerability to biannual cholera transmission mechanisms that provide ecological and environmental “conditions” for cholERA outbreaks in the Bengal Delta floodplains.
Proceedings ArticleDOI
Internet-based remote measurement, command and control system for smart transmission grid
TL;DR: Algorithm proposed here comprises local and remote measurement signals to damp out local and interarea oscillation mode in order to ensure desired dynamic performance of the large scale power transmission grid.