Meghna Madhusudan

About Meghna Madhusudan

Meghna Madhusudan, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Analog design automation, power management.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reinforcing the Connection between Analog Design and EDA

Understanding Distance-Dependent Variations for Analog Circuits in a FinFET Technology

MMM: Machine Learning-Based Macro-Modeling for Linear Analog ICs and ADC/DACs

A generalized methodology for well island generation and well-tap insertion in analog/mixed-signal layouts

Constructive placement and routing for common-centroid capacitor arrays in binary-weighted and split DACs

GNN-based hierarchical annotation for analog circuits

Performance-driven wire sizing for analog integrated circuits

Machine Learning for Analog Layout

Meghna Madhusudan Information

University

Position

___

Citations(all)

427

Citations(since 2020)

426

Cited By

64

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Meghna Madhusudan Skills & Research Interests

Analog design automation

power management

Top articles of Meghna Madhusudan

Reinforcing the Connection between Analog Design and EDA

2024/1/22

Understanding Distance-Dependent Variations for Analog Circuits in a FinFET Technology

2023/9/11

MMM: Machine Learning-Based Macro-Modeling for Linear Analog ICs and ADC/DACs

2023/9/10

A generalized methodology for well island generation and well-tap insertion in analog/mixed-signal layouts

ACM Transactions on Design Automation of Electronic Systems

2023/9/9

Constructive placement and routing for common-centroid capacitor arrays in binary-weighted and split DACs

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2023/1/23

GNN-based hierarchical annotation for analog circuits

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2023/1/11

Performance-driven wire sizing for analog integrated circuits

ACM Transactions on Design Automation of Electronic Systems

2022/12/24

Analog/Mixed-Signal Layout Optimization using Optimal Well Taps.

2022/4/13

Constructive common-centroid placement and routing for binary-weighted capacitor arrays

2022/3/14

Are analytical techniques worthwhile for analog IC placement?

2022/3/14

Common-centroid layout for active and passive devices: A review and the road ahead

2022/1/17

Meghna Madhusudan
Meghna Madhusudan

H-Index: 5

Ramesh Harjani
Ramesh Harjani

H-Index: 19

Performance-aware common-centroid placement and routing of transistor arrays in analog circuits

2021/11/1

Meghna Madhusudan
Meghna Madhusudan

H-Index: 5

Ramesh Harjani
Ramesh Harjani

H-Index: 19

From specification to silicon: Towards analog/mixed-signal design automation using surrogate NN models with transfer learning

2021/11/1

A circuit attention network-based actor-critic learning approach to robust analog transistor sizing

2021/8/30

Machine Learning Techniques in Analog Layout Automation

2021/3/22

Analog layout generation using optimized primitives

2021/2/1

Meghna Madhusudan
Meghna Madhusudan

H-Index: 5

Jiang Hu
Jiang Hu

H-Index: 23

Common-centroid layouts for analog circuits: Advantages and limitations

2021/2/1

Meghna Madhusudan
Meghna Madhusudan

H-Index: 5

Ramesh Harjani
Ramesh Harjani

H-Index: 19

Fast and efficient constraint evaluation of analog layout using machine learning models

2021/1/18

ALIGN: A system for automating analog layout

IEEE Design & Test

2020/12/3

See List of Professors in Meghna Madhusudan University(University of Minnesota-Twin Cities)