Mission
To advance interdisciplinary research in nanotechnology, photonics, AI/IoT, and applied machine learning by developing intelligent materials, energy-efficient devices, and smart sensing systems that address real-world challenges in healthcare, clean energy, environmental monitoring, precision agriculture, and smart infrastructure — through collaborative, ethical, and application-driven innovation that delivers scalable, sustainable, and socially impactful technologies.
Vision
To become a globally recognized research hub for sustainable, human-centered technological innovation — pioneering advancements in nanophotonics, semiconductor devices, programmable photonic systems, AI-enabled cyber-physical platforms, and intelligent environmental & energy solutions.
We envision shaping a future where intelligent materials, data-driven systems, and next-generation devices transform industries, strengthen knowledge economies, and contribute to a smart, resilient, and sustainable world.
Innovative Research
Technological Development
Interdisciplinary Collaboration
Educational Excellence
Community Engagement
Sustainable Solutions
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.
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.
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.
Latest News
Dr Abu S.M. Mohsin, PI of Nanotechnology, AI,IoT and Applied Machine Learning Research Group Awarded the Best Researcher and Quality Publication Award.
Alhamdulliah, I'm delighted to share that I have received the Q1 Quality Journal Publication Award from the Brac University Research Metrics Committee! This award recognizes our achievement of the highest number of Q1 journal papers—12 in total—and our top 10% ranking for journal quality from July 2023 to June 2024.
Despite facing resource challenges, our dedication, hard work and collaborative efforts have led to these remarkable results. I want to express my heartfelt gratitude to everyone who contributed to this achievement:
Research Assistants: Rumman, Shadmani, Shadab, Sujoy, and Atib — your tireless dedication has been invaluable.
Undergraduate FYDP Group (Bristy and others) and Master’s Students: Nishat — your hard work and enthusiasm have been crucial.
Co-Principal Investigators: Dr. Mosaddeque and Dr. Belal, along with collaborators Dr. Aparna, Dr. Jamal and Ehsan — thank you for your trust, expertise, and support throughout our research journey.
We are delighted to announce that two of our outstanding undergraduate students have successfully defended their EEE 498: Directed Research projects this fall. Their hard work and dedication have led to significant achievements in the field of biosensor technology.
1. Rifat Rahman Rafi (ID: 20321010)
Research Title: Development of Copper-Graphene Based Biosensors for Hemoglobin, Glucose, and Multi-Analyte Detection Across Wide Refractive Index Ranges
Achievements:
Conference Paper: SPR based Biosensor for Efficient Detection of Hemoglobin level in blood, presented at ICEEICT 2024 Conference, Dhaka, Bangladesh, DOI: 10.1109/ICEEICT62016.2024.10534565
Journal Paper Under Review: Copper-Graphene Nanohole Array Based Dual-Mode Sensor for Wide RI Range for the Detection of Analytes, Journal of Physica Scripta (Q2, IF 3.08)
2. Upama Adhikary (ID: 20321001)
Research Title: Copper (Cu) and VO2 based SPR Biosensors for Glucose and Alcohol Detection
Achievements:
Conference Paper: Numerical Investigation on Copper Based SPR Biosensors for Blood Hemoglobin (Hb) Detection, presented at STI 2024 Conference, Dhaka, Bangladesh
Journal Paper Under Preparation: Nano hole Array based Gold-VO2 Based MIM Structure for Biosensing Applications
We extend our heartfelt congratulations to Rifat Rahman Rafi and Upama Adhikary for their exceptional research work and contributions to the field. We look forward to seeing their continued success and future innovations! 🎉✨
We are thrilled to announce that two of our Master's students have successfully defended their theses this fall and made remarkable contributions to the field of engineering research.
1. Ms. Nazia Homaira Preety (ID: 24371002)
Thesis Title: Broadband, Polarization Insensitive, and Tunable THz Metamaterial Perfect Absorber using Graphene and Phase Change Material
Achievements:
Published Paper: "Graphene metamaterial (GMM) based dual mode, tunable, and broadband THz absorber with triple circular split ring structure", Heliyon (Q1, IF 4.0, Citescore 4.5), DOI: 10.1016/j.heliyon.2024.e37973
Paper Under Review: "Graphene- Vanadium Dioxide (VO2 ) Based Wideband Tunable Polarization Insensitive THz Absorber Using Fishnet and Circular Split Ring Structure", Journal of Physica Scripta (Q2, IF 3.08)
2. Ms. Lubaba Bintey Akcher (ID: 20271001)
Thesis Title: Study and simulation of SPR based biosensor to determine Blood hemoglobin concentration and mosquito-borne diseases detection
Achievements:
Published Paper: "Study and Simulation of MIM Grating-based Refractive Index Sensor for the Detection of Haemoglobin (Hb) in Blood Samples", Plasmonics-Springer Nature, DOI: 10.1007/s11468-024-02674-x
Paper Under Review: "Refractive index based sensing using germanium-antimony-tellurium (Ge2Se2Te5) grating based MIM structure for the detection of malaria and dengue", Journal of Physica Scripta (Q2, IF 3.08)
A heartfelt congratulations to Nazia Homaira Preety and Lubaba Bintey Akcher for their dedication and hard work. We are proud of their accomplishments and look forward to their future contributions to the field of engineering! 🎉✨.
We are thrilled to announce that several of our talented research assistants have successfully secured fully funded graduate positions across prestigious institutions! This is a testament to their hard work, dedication, and the rigorous training they received within our research group.
Georgia Tech
Purdue University
Rice University
Arizona State University
Sunny Polytechnique University
University of Maryland, USA
Karlsruhe Institute of Technology (KIT), Germany
These placements highlight the promise and potential of our research assistants and reflect the strong partnerships we maintain with leading universities in advancing education and research in our fields.
We congratulate our research assistants on their achievements and wish them continued success in their academic journeys! Stay tuned for more updates on their progress and insights from their upcoming experiences.