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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.