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We are excited to announce the recent 2 publications in two esteemed journals. These significant contributions reflect our ongoing commitment to advancing knowledge in the fields of Internet of Things (IoT), machine learning (ML), and nanotechnology.

1. Automatic Priority Analysis of Emergency Response Systems Using Internet of Things (IoT) and Machine Learning (ML)

Authors: ASM Mohsin, SH Choudhury, MA Muyeed
Published in: Transportation Engineering (2025)
https://doi.org/10.1016/j.treng.2025.100304. (Q1, 89%, Citescore 8.1)

In this paper, the authors present an innovative approach to enhance emergency response systems through the integration of IoT and ML techniques. By automating priority analysis, this research aims to improve the efficiency and effectiveness of emergency responses, potentially saving lives and resources.

2. Quantifying Monomer–Dimer Distribution of Nanoparticles from Uncorrelated Optical Images Using Deep Learning

Authors: ASM Mohsin, SH Choudhury
Published in: ACS Omega (2025)
https://doi.org/10.1021/acsomega.4c07914, Q 1, 76%, Citescore 6.6).

This study explores a novel methodology for quantifying the distribution of nanoparticles using deep learning techniques on uncorrelated optical images. The findings provide valuable insights into nanoparticle behavior, paving the way for advancements in nanotechnology applications.

These publications underscore our research group's dedication to pushing the boundaries of technology and contributing to groundbreaking developments in our fields. We congratulate our authors on their achievements and look forward to their future work.

For more details on the papers, please check the respective journals.