Lecturer

IMAM HOSSAIN SHIBLY

Lecturer, EEE

Educational Qualification:

Job Experience:

Publications:

1. Computing Optical Properties of Open–Channels Based Plasmonic Biosensor Employing Plasmonic Materials with ML Approach Abstract: The fundamental phenomenon underpinning the photonic crystal fiber’s (PCF) functionality is its capacity to trap light, enabling a broader range of applications. The study involves depositing plasmonic materials on a dual-sided open–channels based PCF–surface plasmonic resonance (SPR) sensor to detect changes in the analyte’s refractive index (RI). Through numerical investigations, the research compares the optical characteristics employing two plasmonic materials, silver (Ag) and copper (Cu). The study results show that silver exhibits a high sensitivity to wavelengths, with a maximum wavelength sensitivity of 7000 nm/RIU. Additionally, silver demonstrates a significant amplitude sensitivity of 652.98 RIU −1 . Moreover, the resolution of silver is found to be 1.43 × 10 −6 RIU within the analyte RI of 1.39. Conversely, copper exhibits a maximum wavelength sensitivity of 6000 nm/RIU, a resolution of 1.67 × 10 −6 RIU, and an amplitude sensitivity of 356.42 RIU −1 at the same RI. Additionally, the study uses Machine Learning (ML) methods, especially specific Artificial Neural Networks (ANN), to calculate optical properties, focusing on confinement loss. The plasmonic biosensor offers a simple design, suitable sensitivity, and economic feasibility, making it a viable choice for detecting biological and biochemical analytes.
   link: https://ieeexplore.ieee.org/abstract/document/10441080
2. Performance Analysis of Adaptive Cruise Control Using Frequency Modulated Continuous Wave Radar Under Rain ClutterAbstract: This paper introduces a simulation platform for Adaptive Cruise Control (ACC) using Frequency Modulated Continuous Wave (FMCW) radar operating at 77 GHz. ACC relies on radar sensors for precise assessment of nearby vehicle distance and velocity. FMCW radar offers superior accuracy and range resolution, crucial for reliable object detection in diverse driving conditions. The results reveal remarkable improvements, such as the ability to detect up to 3 targets within a maximum range of 200 m, and achieving a minimum detectable velocity for moving targets as low as 0.0083 m/s. However, radar performance can suffer due to clutter. The rain clutter scenario is also performed in the model and observed how the signal gets attenuated.
   link: https://ieeexplore.ieee.org/abstract/document/10441169

Extracurricular Activities:

• President at ALO-Alliance of Learners’ Organization
• Executive Member at IEEE Student Branch, RUET
• Vice President at Gazipur District Association, RUET
• Debating, Creative Writing, Cricket

Research Interest:

Radar Communication, Photonics

Awards:

• Scholarship: Government Scholarship for standing 351𝑠𝑡 in Dhaka Board, HSC-2017
• Scholarship: Government Scholarship for SSC-2015 & JSC-2012 result
• Champion: International Environment Day Debate Competition, Gazipur,2016
• Runners Up: National Debate Competition by Anti-Corruption Commission, Dhaka Division, 2015

Certified Courses:

• Signal Processing with MATLAB (Mathworks,2021)

• Python for Data Science (Coursera, 2021)
• Radar Simulation with MATLAB (Mathworks,2023)
• Programming with Python (Hacker-Rank, 2021)