What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Ecology
Remote sensing, Meteorology, Evapotranspiration, Remote sensing and Aquifer are his primary areas of study.
His Remote sensing research is multidisciplinary, incorporating perspectives in Advanced very-high-resolution radiometer, Sky, Vegetation, Moderate-resolution imaging spectroradiometer and Evaporation.
His work deals with themes such as Spatial ecology, Trend surface analysis, Physical geography and Spring season, which intersect with Meteorology.
His Evapotranspiration research integrates issues from Mean squared error, Normalized Difference Vegetation Index and Radiometry.
His biological study deals with issues like Aerodynamics, which deal with fields such as Energy balance, Latent heat, Heat transfer and Surface wind speed.
His Aquifer research is multidisciplinary, incorporating elements of Mineralogy and Arsenic contamination of groundwater.
His most cited work include:
- Arsenic mobility and groundwater extraction in Bangladesh. (951 citations)
- Estimation of surface evaporation map over Southern Great Plains using remote sensing data (359 citations)
- Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days (263 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Lyapunov function, Control engineering, Adaptive control and Climatology.
His Control theory study integrates concerns from other disciplines, such as Teleoperation and Stability.
His Lyapunov function research incorporates elements of Parametric statistics, Sliding mode control, Observer, Tracking error and Bounded function.
His research in the fields of Nonlinear control overlaps with other disciplines such as Telerobotics.
His Adaptive control research incorporates themes from Iterative learning control, Robot, Robotics and Trajectory.
His Climatology study combines topics from a wide range of disciplines, such as Cholera and Precipitation.
He most often published in these fields:
- Control theory (34.19%)
- Lyapunov function (17.95%)
- Control engineering (19.23%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (34.19%)
- Lyapunov function (17.95%)
- Artificial intelligence (7.26%)
In recent papers he was focusing on the following fields of study:
Shafiqul Islam mainly investigates Control theory, Lyapunov function, Artificial intelligence, Computer vision and Adaptive learning.
His Control theory study frequently links to other fields, such as Smart grid.
His Lyapunov function study combines topics in areas such as Manipulator, Bounded function, State and Adaptive control.
The Artificial intelligence study combines topics in areas such as Machine learning and Control theory.
His study on Observer also encompasses disciplines like
- Tracking system, which have a strong connection to Control engineering,
- Vehicle dynamics which connect with Haptic technology.
His studies in Control engineering integrate themes in fields like Calibration and Noise.
Between 2017 and 2021, his most popular works were:
- Artificial and Virtual Impedance Interaction Force Reflection-Based Bilateral Shared Control for Miniature Unmanned Aerial Vehicle (12 citations)
- Using complexity science and negotiation theory to resolve boundary-crossing water issues (9 citations)
- Observer-Based Adaptive Output Feedback Control for Miniature Aerial Vehicle (9 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Ecology
Shafiqul Islam mostly deals with Lyapunov function, Control theory, Control, Control engineering and Vehicle dynamics.
His work on Observer as part of general Control theory research is often related to Graph, thus linking different fields of science.
Shafiqul Islam interconnects Autonomous system, Visualization, Linear matrix inequality and Virtual reality in the investigation of issues within Control.
His Control engineering research is multidisciplinary, incorporating elements of Industrial robot, Extrinsic calibration and Robotic arm.
His Vehicle dynamics research incorporates themes from Tracking system and Adaptive control.
His research integrates issues of Terminal sliding mode, Autonomous agent, Adaptive learning and Consensus in his study of Bounded function.
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