Ram Achar, Carleton University

Research

Read how they describe their research on their Carleton University profile.

Latest papers

Parallel Algorithms for Power and Signal Integrity Analysis of High-Speed Designs
IMAPSource Proceedings · 2026 · first author
GPU-Accelerated Structure-Preserving Model Order Reduction of Large Multi-Port RLC Interconnects
2026 · senior author
Four New Distinguished Lecturers for 2026–2027
IEEE Electromagnetic Compatibility Magazine · 2026 · first author

All 285 publications

From the 150 most recent of 285 publications.

01

Parallel Algorithms for Power and Signal Integrity Analysis of High-Speed Designs

R. Achar, H. Dhindsa, N. Nakhla, D. Paul, M. Nakhla

IMAPSource Proceedings2026First authorOpen Access

DOI: 10.4071/001c.161416

02

GPU-Accelerated Structure-Preserving Model Order Reduction of Large Multi-Port RLC Interconnects

Rayeed Rahman Ananda, Ramachandra Achar

2026Senior author

DOI: 10.1109/spi68887.2026.11594784

03

Four New Distinguished Lecturers for 2026–2027

Ramachandra Achar

IEEE Electromagnetic Compatibility Magazine2026First author

DOI: 10.1109/memc.2026.11435345

04

Transformer-Based Deep Equilibrium Model for Interconnects with Large Number of Coupled Lines

Ahsan Javaid, Ramachandra Achar

2026Senior author

DOI: 10.1109/spi68887.2026.11594718

05

Estimation of Jitter Using Knowledge-Based Bidirectional Mamba Architecture for XDR Systems

Ahsan Javaid, Ramachandra Achar, Jai N. Tripathi

IEEE Transactions on Signal and Power Integrity2026

DOI: 10.1109/tsipi.2026.3702577

06

MKNet: Adaptive Kernel Mixing Depthwise Convolution for Lightweight Object Detection

Keng Lek See, Wai‐Kong Lee, Soung‐Yue Liew, Shen-Khang Teoh, Hock Guan Goh, Ramachandra Achar

IEEE Internet of Things Journal2026Senior author

DOI: 10.1109/jiot.2026.3725353

07

Knowledge-Based Bidirectional Recurrent Neural Network Approach for Efficient Prediction of Jitter in a Chain of CMOS Inverters

Ahsan Javaid, Ramachandra Achar, Jai Narayan Tripathi

IEEE journal on multiscale and multiphysics computational techniques20254 citations

DOI: 10.1109/jmmct.2025.3602632

08

A Hybrid Deep-Belief and Knowledge-Based Neural Network for Efficient Prediction of Jitter in the Presence of Multiple PDN Noise Sources

Ahsan Javaid, Ramachandra Achar, Jai Narayan Tripathi

IEEE Transactions on Signal and Power Integrity20254 citations

DOI: 10.1109/tsipi.2025.3550155

09

Efficient Multiconductor Transmission Line Analysis via Hybrid Deep Equilibrium NN Model

Ahsan Javaid, Ramachandra Achar

20251 citationsSenior author

DOI: 10.1109/spi64682.2025.11014477

10

Prediction of Power Supply Induced Jitter via Deep Belief and Knowledge-Based Neural Networks

Ahsan Javaid, Ramachandra Achar, Jai Narayan Tripathi

20245 citations

DOI: 10.1109/spi60975.2024.10539208

Frequent collaborators

Department of Electronics
Department of Electrical and Computer Engineering
Electronics Engineering
School of Electrical Engineering and Computer Science
Edward S. Rogers Sr. Department of Electrical and Computer Engineering
Sustainable Energy

Co-authors at Carleton University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Ramachandra Achar

Electronics Engineering

227 shared papers, latest 2026

Michel Nakhla

Department of Electronics

178 shared papers, latest 2023

Anestis Dounavis

Department of Electrical and Computer Engineering

30 shared papers, latest 2006

Roni Khazaka

Department of Electrical and Computer Engineering

10 shared papers, latest 2023

Qi-Jun Zhang

Department of Electronics

4 shared papers, latest 2002

Mustapha Yagoub

School of Electrical Engineering and Computer Science

3 shared papers, latest 2009

Xin Wang

Sustainable Energy

1 shared papers, latest 2023

Piero Triverio

Edward S. Rogers Sr. Department of Electrical and Computer Engineering

1 shared papers, latest 2007

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Subject: Prospective PhD student Dear Professor Achar, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Parallel Algorithms for Power and Signal Integrity Analysis of High-Speed Designs" (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]