Author

Maharshi B. Shukla

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Review Open access Oct 2026

Indium Phosphide Quantum Dots in Biomedicine: Photophysics, Bio-Nano Interactions, and Emerging Imaging and Therapeutic Platforms.

Indium phosphide (InP) quantum dots (QDs) have emerged as promising cadmium-free semiconductor nanomaterials with considerable potential for biomedical applications due to their tunable optical properties, high photostability, and favorable emission characteristics. In this review, the fundamental photophysical propert...

Mohamed Abu Shuheil, Maharshi B. Shukla, Irwanjot Kaur et al. · Luminescence (Chichester, En... · 0 citations

Review Open access Sep 2026

Indium Phosphide Quantum Dots for Near‐Infrared Luminescence‐Based Bioimaging and Theranostics: From Photophysical Design to Clinical Translation

Indium phosphide (InP) quantum dots (QDs) have emerged as promising cadmium‐free luminescent nanomaterials for near‐infrared (NIR) bioimaging and theranostic applications owing to their tunable optical properties, photostability, and improved biocompatibility. This review highlights recent advances in the photophysical...

Mohamed Abu Shuheil, Magdi E. A. Zaki, Maharshi B. Shukla et al. · Luminescence (Chichester, En... · 0 citations

Review Sep 2026

Unraveling Dynamic Disorder in Metal Halide Perovskite Quantum Dots: Atomistic Insights Into Structure–Carrier Coupling From Ab Initio and Nonadiabatic Simulations

Metal–halide perovskite quantum dots (PQDs) have emerged as highly dynamic nanoscale semiconductors whose optoelectronic properties are governed by a complex interplay of lattice fluctuations, electronic excitation processes, and surface‐mediated interactions. This review provides a comprehensive atomistic perspectiv...

Ghada Al-Assi, Magdi E. A. Zaki, Maharshi B. Shukla et al. · Journal of the Society for I... · 0 citations

Review Open access Aug 2026

Machine learning-enhanced fluorescence signal processing of carbon quantum dots for high-accuracy chemical sensing

A comprehensive analysis of ML-driven methodologies for denoising, spectral decomposition, feature extraction, and high-accuracy classification in CQD fluorescence systems shows how ML enables ultra-low-level analyte detection, interpretable photophysical modeling, and real-time intelligent sensing across chemical and...

B. T. Sayed, Maharshi B. Shukla, Sumit Sharma et al. · RSC Advances · 0 citations