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Sidra Khan

Researcher at COMSATS Institute of Information Technology

Publications -  11
Citations -  347

Sidra Khan is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Thiophosgene & Molecule. The author has an hindex of 7, co-authored 9 publications receiving 161 citations.

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Machine learning-assisted signature and heuristic-based detection of malwares in Android devices

TL;DR: An efficient hybrid framework is presented for detection of malware in Android Apps that considers both signature and heuristic-based analysis for Android Apps, and results show improved accuracy in malware detection.
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Adsorption behaviour of chronic blistering agents on graphdiyne; excellent correlation among SAPT, reduced density gradient (RDG) and QTAIM analyses

TL;DR: In this paper, the adsorption of nitrogen (NM) and sulphur mustard (SM) blistering agents on graphdiyne (GDY) sheet was analyzed by using density functional theory calculations.
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High sensitivity of graphdiyne nanoflake toward detection of phosgene, thiophosgene and phosogenoxime; a first-principles study.

TL;DR: Results suggest that graphdiyne based sensor for detecting phosgene and derivatives are better in sensitivity in comparison with already reported graphyne sensor.
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High selectivity of cyclic tetrapyrrole over tetrafuran and tetrathiophene toward toxic chemicals; A first-principles study

TL;DR: In this article, density functional theory calculations are performed to study the interaction behavior of tetracyclic oligomers such as tetrapyrrole (4CP), tetrafuran (4CF) and tetrathiophene (4CT) for the detection of harmful gases like, phosgene, thiophosgenes and formaldehyde.
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First-principles study for exploring the adsorption behavior of G-series nerve agents on graphdyine surface

TL;DR: In this article, the sensing results reveal the physisorption of analytes at the triangular portion of graphdiyne surface, showing that GA shows the highest interaction energy of −16.31 kcal/mol.