S
Sajid Hussain
Researcher at National University of Singapore
Publications - 408
Citations - 7015
Sajid Hussain is an academic researcher from National University of Singapore. The author has contributed to research in topics: IEC 61850 & Wireless sensor network. The author has an hindex of 34, co-authored 355 publications receiving 4794 citations. Previous affiliations of Sajid Hussain include St. Francis Xavier University & Central University, India.
Papers
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Journal ArticleDOI
Comparative Review of Energy Storage Systems, Their Roles, and Impacts on Future Power Systems
TL;DR: The state-of-the-art storage systems and their characteristics are thoroughly reviewed along with the cutting edge research prototypes and the potential application fields are identified.
Journal ArticleDOI
Antibiotic-loaded nanoparticles targeted to the site of infection enhance antibacterial efficacy.
Sajid Hussain,Jinmyoung Joo,Jinyoung Kang,Byungji Kim,Gary B. Braun,Gary B. Braun,Zhi-Gang She,Zhi-Gang She,Dokyoung Kim,Aman P. Mann,Tarmo Mölder,Tambet Teesalu,Tambet Teesalu,Tambet Teesalu,S. Carnazza,Salvatore P.P. Guglielmino,Michael J. Sailor,Erkki Ruoslahti,Erkki Ruoslahti +18 more
TL;DR: It is shown that conjugation of vancomycin-loaded nanoparticles with the cyclic 9-amino-acid peptide CARGGLKSC (CARG), identified via phage display on Staphylococcus aureus, increases the antibacterial activity of the nanoparticles in S. a Aureus-infected tissues and reduces the systemic dose needed, minimizing side effects.
Journal ArticleDOI
Mechanisms of hyperthermia in magnetic nanoparticles
Gonzalo Vallejo-Fernandez,Oliver Whear,Alejandro G. Roca,Sajid Hussain,Jon Timmis,V Patel,K. O'Grady +6 more
TL;DR: In this paper, a theoretical framework for magnetic hyperthermia where the amount of heat generated by nanoparticles can be understood when both the physical and hydrodynamic size distributions are known accurately is presented.
Journal ArticleDOI
Genetic Algorithm for Hierarchical Wireless Sensor Networks
TL;DR: The simulation results show that the proposed intelligent hierarchical clustering technique can extend the network lifetime for different network deployment environments.
Proceedings ArticleDOI
Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks
TL;DR: The simulation results show that the proposed intelligent hierarchical clustering technique is more energy efficient than a few existing cluster-based routing protocols.