Nanomaterials are cornerstones of nanoscience and technology and have created a high interest in recent years by virtue of their unusual and unique properties and the various potential applications. It has found wide range of applicability in various fields such as sensors, opto-electronic devices, energy storage, bio imaging, and water treatment to name a few. Sensors based on nanomaterials, rely on the highly active surface and the high specific surface area to initiate a response even with a minute change of concentrations of the analyte species, thus enabling highly efficient sensors.

In line with the Human in Space Program (HSP), spaceflight hardware design for Drosophila experiment was completed, prototype was built and used for validation. Experimental verification tests using Drosophila kidney stone models are in progress.

During these pandemic times, in response to the global call for identifying and characterizing specific and potent SARS-CoV-2 antivirals, we conducted in silico screening of an in-house library to assess its furin inhibition potential. Molecular docking studies indicated zero generation EDA cored PAMAM dendrimer and its guanylthiourea derivatives as potential furin inhibitors. Interestingly, the dendrimer conjugate masks furin’s substrate binding site and hence would prevent the binding of furin to spike protein.

We developed a design strategy to bridge the gap between aggregation-caused quenching (ACQ) and aggregation induced emission (AIE) in fluorophores by developing a novel class of dual state emissive (DSE) full color tunable molecules. Computational chemistry assisted core design predicted stable conformers and the effects of steric and various supramolecular interactions were evaluated. The C4 substituent acted as multifunctional stacking modulator.

High-performance electromagnetic interference (EMI) shielding materials that are very elastic and flexible, hydrophobic, and of low density are required to address the rising electromagnetic pollution problem.

The modern society and recent scientific developments inextricably depend on the effective energy storage systems. Lithium-sulfur battery (LSB) received the attention of researchers due to its high theoretical capacity of 1675 mAh g-1 through the electrochemical reaction between lithium and sulphur. Polysulfide shuttle is a major challenge to be addressed while designing LSBs as it stagnates the overall performance of the system. The exploration of better material combinations is imperative to deal with the issue.

A fluorescence sensor for basic amino acids based on WS2 nanosheets- silver oxide nanoparticles (WS2 NSs-Ag2O NPs) composite materials has been developed. The composite was prepared via the in situ formation of silver oxide nanoparticles (Ag2O NPs) by the combined action of fluorescent WS2 nanosheets (WS2 NSs) in the presence of NaOH. The fluorescence of WS2 NSs was quenched upon the formation of Ag2O NPs due to resonance energy transfer.

Dr. Chinmoy Saha’s research contribution encompasses key areas of applied Electromagnetics in general and state of the art techniques and methodologies in the area of i) microwave and mm wave circuits and antennas, ii) multi-functional antennas for modern wireless applications, iii) metamaterial inspired circuit and antennas, iv) wireless power transfer and energy harvesting and v) optical fiber based sensors, in particular.

The introduction of new wireless services and the quest for high-speed communication with enhanced data rate and channel capacity have led to unprecedented congestion in the RF spectrum. A cognitive radio (CR) system provides a sustainable solution due to its opportunistic and intelligent usage of the spectrum using ‘dynamic’ spectrum policy. In a CR system, the spectrum is shared using the sub-bands in an ultrawideband (UWB) frequency range.

In the tracking-by-detection approach of online multiple object tracking (MOT), a major challenge is how to associate object detections on the new video frame with previously tracked objects. Two important aspects that directly influence the performance of MOT are quality of detection and accuracy in data association. The authors propose an efficient and unified MOT framework for improved object detection, followed by enhanced object tracking. The object detection and tracking are considered as two independent functions in the tracking-by-detection paradigm.