Upamanyu Madhow

Upamanyu Madhow

University of California, Santa Barbara

H-index: 71

North America-United States

About Upamanyu Madhow

Upamanyu Madhow, With an exceptional h-index of 71 and a recent h-index of 33 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of Wireless communication, bio-inspired design for networking and inference.

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

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective

Multimodal sensing, fusion for machine perception

Using sensor data for coordinate prediction

Robust Deep Learning via Layerwise Tilted Exponentials

Geographic positioning using short-range transmissions

A Fourier Analysis of Digital Beamforming with Severely Quantized mmWave Arrays

Indoor/outdoor transition points based on satellite signal strength

A Dynamic Decision-Making Framework Promoting Long-Term Fairness

Upamanyu Madhow Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

24274

Citations(since 2020)

4546

Cited By

21518

hIndex(all)

71

hIndex(since 2020)

33

i10Index(all)

232

i10Index(since 2020)

108

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Upamanyu Madhow Skills & Research Interests

Wireless communication

bio-inspired design for networking and inference

Top articles of Upamanyu Madhow

Title

Journal

Author(s)

Publication Date

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective

Bhagyashree Puranik

Ahmad Beirami

Yao Qin

Upamanyu Madhow

2024/4/18

Multimodal sensing, fusion for machine perception

2024/1/30

Using sensor data for coordinate prediction

2023/9/14

Robust Deep Learning via Layerwise Tilted Exponentials

Bhagyashree Puranik

Ahmad Beirami

Yao Qin

Upamanyu Madhow

2023/8/7

Geographic positioning using short-range transmissions

2023/7/25

A Fourier Analysis of Digital Beamforming with Severely Quantized mmWave Arrays

Canan Cebeci

Upamanyu Madhow

2023/10/29

Indoor/outdoor transition points based on satellite signal strength

2023/9/21

A Dynamic Decision-Making Framework Promoting Long-Term Fairness

Bhagyashree Puranik

Upamanyu Madhow

Ramtin Pedarsani

2022/7/26

Low-Resolution Architectures for Power-Efficient Scaling of mmWave Phased Array Receivers

Journal of Signal Processing Systems

Maryam Eslami Rasekh

Navid Hosseinzadeh

Upamanyu Madhow

Mark Rodwell

2022/10

All-digital LoS MIMO with low-precision analog-to-digital conversion

IEEE Transactions on Wireless Communications

Ahmet Dundar Sezer

Upamanyu Madhow

2022/1/20

Spatially redundant, precision-constrained transmit precoding for mmWave LoS MIMO

Ahmet Dundar Sezer

Upamanyu Madhow

2022/7/4

An Adaptable and Scalable Generator of Distributed Massive MIMO Baseband Processing Systems

Journal of Signal Processing Systems

Yue Dai

Maryam Eslami Rasekh

Seyed Hadi Mirfarshbafan

Harrison Liew

Alexandra Gallyas-Sanhueza

...

2022/10

Early layers are more important for adversarial robustness

ICLR 2022 Workshop on New Frontiers in Adversarial Machine Learning

Can Bakiskan

Metehan Cekic

Upamanyu Madhow

2022/1

Self-supervised speaker recognition training using human-machine dialogues

Metehan Cekic

Ruirui Li

Zeya Chen

Yuguang Yang

Andreas Stolcke

...

2022/5/23

Determining a topological location of a client device using received radio signatures

2022/9/13

Layerwise Hebbian/anti-Hebbian (HaH) Learning In Deep Networks: A Neuro-inspired Approach To Robustness

ICML 2022 Workshop on New Frontiers in Adversarial Machine Learning

Metehan Cekic

Can Bakiskan

Upamanyu Madhow

2022/1

Adaptive space-time equalization with spatial oversampling for misaligned LoS MIMO

Lalitha Giridhar

Maryam Eslami Rasekh

Ahmet Dundar Sezer

Upamanyu Madhow

2022/4/10

Generalized likelihood ratio test for adversarially robust hypothesis testing

IEEE Transactions on Signal Processing

Bhagyashree Puranik

Upamanyu Madhow

Ramtin Pedarsani

2022/8/11

On the design of low-resolution sensing matrices for noncoherent compressive channel estimation

Maryam Eslami Rasekh

Upamanyu Madhow

2022/10/31

Dynamic Positive Reinforcement For Long-Term Fairness

ICLR 2022 Workshop on Socially Responsible Machine Learning

Bhagyashree Puranik

Upamanyu Madhow

Ramtin Pedarsani

2022/1

See List of Professors in Upamanyu Madhow University(University of California, Santa Barbara)