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<!DOCTYPE HTML>
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<title>Nimasha Pilippange</title>
<meta name="author" content="Nimasha Pilippange">
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<!-- WHAT IS YOUR NAME!!!-->
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<name>Nimasha Pilippange</name>
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I am currently a graduate assistant at <a href="https://ece.fiu.edu/"> Florida International University</a>, Miami. I started my PhD in electrical and computer engineering here at FIU in 2021. Before that I worked 2 and half years in industry after completing my bachelors at <a href="http://www.eng.ruh.ac.lk/">University of Ruhuna</a> .
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<a href="mailto:[email protected]">Email</a>  / 
<a href="https://github.com/hirunisilva275/">Github</a>  / 
<a href="https://scholar.google.com/citations?user=i2cw52gAAAAJ&hl=en">Google Scholar</a>  / 
<a href="https://www.linkedin.com/in/hiruni-silva/">Linkedin</a>  / 
<a href="data/CV/Nimasha pilippange.pdf">CV</a>
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<a href="images/Nimasha.jpeg"><img style="width:100%;max-width:100%" alt="profile photo" src="images/Nimasha.jpeg" class="hoverZoomLink"></a>
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<heading>News</heading>
<ul>
<li> [Sep, 2023] Our paper titled "Inductorless Analog Time-Delays for Nonlinear RF Signal Processing Circuits in 180nm CMOS" was accepted for IEEE Explore. </li>
<li> [Sep, 2023] We demonstrated our hackothon project "forest-spy" on FIU shellhacks for the first time. </li>
<li> [Sep, 2023] We presented the abstract on "Deep Learning RF-AI Sensing for Detecting On-Body Suicide Bomb Threats" a project done by University of Ruhuna at AI+X Symposium at USF in Tampa.</li>
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<heading>Publications</heading>
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<li> Nimasha Hiruni Silva, Arjuna Madanayake, Soumyajit Mandal, Justin Delva, "Inductorless Analog Time-Delays for Nonlinear RF Signal Processing Circuits in 180nm CMOS", Accepted to IEEE MAPCON 2023</li>
<li> Hiruni Silva, Kamitha,Bodhinayake, Hasitha Nanayakkara, T.D. Gamage(2020), <a href="https://ieeexplore.ieee.org/document/9221784" > Accuracy Evaluation of SLAM Algorithms in RGB-D Sensors", 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media</a></li>
<li> Arjuna Madanayake, Hiruni De Silva, Jarred Glickstein, Soumyajit Mandal,<a href="https://ieeexplore.ieee.org/document/9881474"> "Extremely Low Frequency (ELF) Radio Sensing of Unmanned Aerial Systems", 2022 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)</a></li>
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<heading>Projects </heading>
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<b>Analog Time delays</b>
<br>In this work we realize analog memory using TTD elements for radar, communications,
and AI/ML applications. The circuits were designed in TSMC 180nm CMOS technology and simulated at the transistor level using Cadence Spectre.</br>
<b>Analog CMOS for computing non-linear Transcendental Functions</b>
<br>Circuits for sin x(t), cos x(t), ln x(t) and exp(x(t)) based on truncated Taylor and Maclaurin expansion functions are designed and simulated using Cadence Spectre in the 180 nm CMOS </br>
<b>Brainfloat16 adder</b>
<br>Bfloat16 is often used in machine learning and artificial intelligence applications, as it allows for efficient computation
while still maintaining enough precision for most use cases. It is also used in some hardware accelerators, such as Google’s Tensor Processing Unit (TPU), which are designed specifically for machine learning workloads. In this work BF16 adder is implemented in VHDL and the tesbench simulation is done for testing</br>
<b>Implementation of an amplifier at 2.4GHz</b>
<br>An amplifier was designed and fabricated using ADS.The amplifier works at 2.4GHz and able to achieve 12dB gain. Impedance matching was carefully done and the fabricated design performs well at 2.3GHz. </br>
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