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 ArticleDOI
Genetic alterations of Keap1 confers chemotherapeutic resistance through functional activation of Nrf2 and Notch pathway in head and neck squamous cell carcinoma
Syed S. Islam,Khawlah Qassem,Shafiqul Islam,Rashed R Parag,Walid A. Farhat,Herman Yeger,Abdelilah Aboussekhra,Bedri Karakas,Abu Shadat Mohammod Noman +8 more
TL;DR: In this paper , a head and neck squamous cell carcinoma (HNSCC) was genotyped and the Keap1-Nrf2 pathway was found to be one of the leading molecular mechanisms for clinical chemotherapeutic resistance.
Journal ArticleDOI
State and Impedance Reflection Based Control Interface for Bilateral Telerobotic System with Asymmetric Delay.
Shafiqul Islam,Shafiqul Islam +1 more
TL;DR: This paper investigates state and imped-ance reflection based robust control strategy for bilateral shared telerobotic system under unsymmetrical time varying delay, and proposes adaptive control algorithm to deal with the uncertainty associated with gravity loading vector, unmodeled dynamic and external disturbance.
Proceedings ArticleDOI
Robust adaptive control of quadrotor unmanned aerial vehicle with uncertainty
TL;DR: This paper deals with the stability and tracking control problem of quadrotor unmanned aerial vehicle (UAV) in the presence of the modeling error and disturbance uncertainty and proposes a very simple and easy to implement design.
Proceedings ArticleDOI
Consensus based distributed cooperative control for multiple miniature aerial vehicles with uncertainty
TL;DR: This paper develops distributed consensus protocol to solve regulation synchronization problem for leaderless MAVs with directed interaction topology and shows that all MAVs reach an agreement and synchronize to a common value which is not a priori defined.
Proceedings ArticleDOI
Adaptive tracking control for quadrotor unmanned flying vehicle
TL;DR: In this paper, an adaptive tracking system for quadrotor flying vehicle in the presence of uncertainty is introduced, which combines desired acceleration and proportional-derivative (PD) like auxiliary signals with an adaptation law to learn and compensate uncertainty.