“The Outcome is What You
Put In“
(J. Aguilar)
My Conference Presentation
The 2020 International Electrical Engineering Congress (iEECON2020), a global academic conference was held online from 4-6 March, 2020 by the Electrical Engineering Academic Association of Thailand (EEAAT).
One of my article titled “Design and Performance Analysis of an Ultra Compact Nano Plasmonic Refractive Index Sensor” made it’s place among the accepted articles and was presented online.
Abstract: In this paper, a Dielectric Metal Dielectric (DMD) plasmonic waveguide coupled with a rectangular slot is proposed and analyzed numerically with the Finite Element Method (FEM) as a refractive index sensor. Different structural parameters are varied to obtain maximum sensitivity of the proposed structure. In this geometry, silver is used as the metal and it is surrounded by Material Under Sensing (MUS) which is dielectric in nature. The linear correlation between both the refractive index and the position of the transmission peaks is used for the detection of the materials. From this simpler geometry, maximum sensitivity is obtained to be 818 nm/RIU; RIU means Refractive Index Unit. Due to the ease in the nanoscale fabrication of the proposed simplistic structure, it can have potential applications in nanoscale optical devices and the nano chip sensors. (Learn more)
The International Seminar on Intelligent Technology and Its Applications (ISITIA),
an annual international conference was organized online from July 22-23 by the Department of Electrical Engineering of the Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia.
My article “Numerical Investigation of a Plasmonic Refractive Index Sensor Based on MIM Topology ” received Best Student Paper Award in the conference. 
Abstract: In this paper, a plasmonic structure consists of Metal-Insulator-Metal (M-I-M) waveguide with two rectangular cavities is presented. To asses the performance as a refractive index sensor, the structure has been simulated using the Finite Element Method (FEM). With the change of the refractive index of the material under sensing (MUS), transmission peaks differ linearly and this shift in peaks is used to detect the material. From the findings of the simulation, most sensitive structural parameters are configured for the designing of this spectrum-based sensing device which possesses a maximum sensitivity of 886.16 nm/RIU. High tolerance and simple rectangular geometry of the proposed structure make it attractive for easy-to-manufacture and nanoscale integration into optical devices. (Learn more)
The 2020 IEEE Region 10 Conference (TENCON) will be held at the Osaka International Convention Center, Osaka, Japan on 16-19 November, 2020. TENCON is a premier international technical conference of IEEE Region 10, which comprises 58 sections, 6 councils, 34 subsections in the Asia Pacific region.
My article “A Concentric Double-Ring Resonator Based Plasmonic Refractive Index Sensor with Glucose Sensing Capability ” received Best Student Paper Award in the conference.
Abstract: This paper presents a refractive index sensor that includes two horizontal MIM (Metal-Insulator-Metal) waveguides coupled with a rectangular ohmic cavity and a Concentric Double-Ring Resonator (CDRR). The cavities contain the Material Under Sensing (MUS), while the surrounding area is filled with silver. The designed model is simulated using the Finite Element Method (FEM). Results from simulation show a linear shift of the resonant peaks for variations in the MUS refractive index. Therefore, unknown MUS is identified through peak shifts. The sensor achieves a maximum sensitivity of 1070 nm/RIU with the most sensitive geometry obtained from the simulations. Moreover, the ability to identify glucose concentration levels in the human blood samples makes the proposed sensor an attractive choice for bio-sensing applications. (Learn more)
IEEE Region 10 Humanitarian Technology Conference (R10 HTC) is the perennial multi disciplinary conference that focuses recent advances in Humanitarian Technologies.
My article “Design and Analysis of a Highly Efficient Rectangular Cavity Based Semi-Elliptic Nanoplasmonic Coupler” was presented in the conference.
Abstract: A highly efficient three-dimensional nanoplasmonic coupler connecting dielectric waveguide and plasmonic waveguide constructed with a semi-elliptical structure has been proposed. Numerical simulation based on Finite Integration Technique (FIT) has been exploited for the characterization and optimization of the performance of the device. Performance optimization has been done in terms of coupling efficiency through systematic adjustments in the structural parameters of the proposed device and a coupling efficiency as high as ~86% has been recorded at the telecom wavelength (1.55 μm). Further analysis of the coupler has been presented in detail with four figures of merit (i.e. the reflection coefficient, Voltage Standing Wave Ratio (VSWR), return loss, and mismatch loss). Tolerance limit has also been added for the device to establish this work as a guiding manual for practical fabrication and nanoscale integration of the proposed coupler. (Learn more)
IEEE Region 10 Humanitarian Technology Conference (R10 HTC) is the perennial multi disciplinary conference that focuses recent advances in Humanitarian Technologies.
My article “A Cross-sectional Study on Awareness and Correlating Factors Towards COVID-19 among Adult Women in Dhaka City” was presented in the conference.
Abstract: Dhaka, capital of COVID-19 s 9th most infected country a day, is appallingly receiving 9,422.1 infected per million to date. To upset this intimidating infected rate, public awareness, and adherence to control measures is a dire need. The objective of this cross-sectional analysis is to gauge the awareness and disclose the associating factors that influence the awareness among the adult women of Dhaka city, based on KAP theory. A self-administrated questionnaire following the national guidelines was developed to assess knowledge, attitudes, and practices of COVID-19 among respondents, which was disseminated to 139 respondents deploying the quota sampling process. Statistical representation of the baseline data spotted that only 56.11% of the participants own fair knowledge, while 83.44% demonstrates optimistic attitudes towards COVID-19. However, merely 52% of the respondents reported following the precautionary measures against COVID-19. Cross-tabulation on the surveyed data disclose that education, occupation, and monthly family income are significant predictors (p<; 0.05) of knowledge among the respondents. Significant Odd Ratios (p<; 0.05) further justifies the reflections of respondents’ knowledge on the attitudinal and behavioral statements. This study detected suboptimal awareness and urged for the collective efforts orchestrated by the Ministry of Health to intensify the awareness through recommended channel to reduce associated health risk. (Learn more)