Shahrir Rizal Kasjoo
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Preferred name
Shahrir Rizal Kasjoo
Official Name
Shahrir Rizal, Kasjoo
Alternative Name
Kasjoo, S.
Kasjoo, Shahrir R.
Kasjoo, S. R.
Shah K.
Main Affiliation
Scopus Author ID
36809748400
Researcher ID
ABI-6061-2020

Research Output

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  • Publication
    Hybrid statistical and numerical analysis in structural optimization of silicon-based RF detector in 5G network
    ( 2022-01-21)
    Tan Yi Liang
    ;
    Nor Farhani Zakaria
    ;
    Shahrir Rizal Kasjoo
    ;
    Safizan Shaari
    ;
    Muammar Mohamad Isa
    ;
    Mohd Khairuddin Md Arshad
    ;
    Arun Kumar Singh
    ;
    Sharizal Ahmad Sobri
    In this study, a hybrid statistical analysis (Taguchi method supported by analysis of variance (ANOVA) and regression analysis) and numerical analysis (utilizing a Silvaco device simulator) was implemented to optimize the structural parameters of silicon-on-insulator (SOI)-based self-switching diodes (SSDs) to achieve a high responsivity value as a radio frequency (RF) detector. Statistical calculation was applied to study the relationship between the control factors and the output performance of an RF detector in terms of the peak curvature coefficient value and its corresponding bias voltage. Subsequently, a series of numerical simulations were performed based on Taguchi’s experimental design. The optimization results indicated an optimized curvature coefficient and voltage peak of 26.4260 V−1 and 0.05 V, respectively. The alternating current transient analysis from 3 to 10 GHz showed the highest mean current at 5 GHz and a cut-off frequency of approximately 6.50 GHz, indicating a prominent ability to function as an RF detector at 5G related frequencies.
  • Publication
    Simulation of InGaAs-based self-switching diodes as sub-terahertz rectifiers
    ( 2022-12)
    Faradilla Aziz
    ;
    Shahrir Rizal Kasjoo
    ;
    Nor Farhani Zakaria
    ;
    Fauzi Packeer
    ;
    A.K. Singh
    Abstract. A self-switching device (SSD) is a new device concept -which can be simply realized by forming insulating trenches into a semiconductor layer, using a single nanolithography process. SSDs can be utilized as rectifiers since the device's current-voltage (I-V) characteristic is comparable to that of a conventional diode. The simulation of two InGaAsbased SSDs with parallel connection using ATLAS device simulator for similar and different lengths of both SSDs (L1 and L2) is presented in this paper. The simulation results show that the InGaAs-based SSDs are able to operate up to sub-terahertz (THz) frequencies. As expected, lowering either L1 or L2 will not only increase the device’s cut-off frequency, fc, but also degrading the device’s rectification performance (i.e., reducing the value of curvature coefficient, γ). The highest cut-off frequency achieved in this work was 0.27 THz with γ ~18V-1 when L1 = 0.8 μm and L2 = 0.4 μm.