Mohammad Vahid Jamali

Mohammad Vahid Jamali

University of Michigan

H-index: 17

North America-United States

About Mohammad Vahid Jamali

Mohammad Vahid Jamali, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Coding Theory, Machine Learning, Wireless Communications, Information Theory, Optical Communications.

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

Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes

Rate-Matched Turbo Autoencoder: A Deep Learning Based Multi-Rate Channel Autoencoder

Product autoencoder for error-correcting via sub-stage processing

ProductAE: Toward deep learning driven error-correction codes of large dimensions

Channel coding at low capacity

Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels

Covert millimeter-wave communication: Design strategies and performance analysis

Coding and Multi-User Schemes for Future Wireless Networks

Mohammad Vahid Jamali Information

University

Position

EECS Department

Citations(all)

1675

Citations(since 2020)

1387

Cited By

851

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Mohammad Vahid Jamali Skills & Research Interests

Coding Theory

Machine Learning

Wireless Communications

Information Theory

Optical Communications

Top articles of Mohammad Vahid Jamali

Title

Journal

Author(s)

Publication Date

Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes

IEEE Journal on Selected Areas in Information Theory

Mohammad Vahid Jamali

Xiyang Liu

Ashok Vardhan Makkuva

Hessam Mahdavifar

Sewoong Oh

...

2023/7/25

Rate-Matched Turbo Autoencoder: A Deep Learning Based Multi-Rate Channel Autoencoder

Linfang Wang

Hamid Saber

Homayoon Hatami

Mohammad Vahid Jamali

Jung Hyun Bae

2023/5/28

Product autoencoder for error-correcting via sub-stage processing

2023/4/6

ProductAE: Toward deep learning driven error-correction codes of large dimensions

arXiv preprint arXiv:2303.16424

Mohammad Vahid Jamali

Hamid Saber

Homayoon Hatami

Jung Hyun Bae

2023/3/29

Channel coding at low capacity

IEEE Journal on Selected Areas in Information Theory

Mohammad Fereydounian

Hamed Hassani

Mohammad Vahid Jamali

Hessam Mahdavifar

2023/8/16

Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels

2022 IEEE International Conference on Communications (ICC)

Mohammad Vahid Jamali

Mohammad Fereydounian

Hessam Mahdavifar

Hamed Hassani

2022/8

Covert millimeter-wave communication: Design strategies and performance analysis

IEEE Transactions on Wireless Communications

Mohammad Vahid Jamali

Hessam Mahdavifar

2022/6

Coding and Multi-User Schemes for Future Wireless Networks

Mohammad Vahid Jamali

2022

ProductAE: Toward Training Larger Channel Codes based on Neural Product Codes

2022 IEEE International Conference on Communications (ICC)

Mohammad Vahid Jamali

Hamid Saber

Homayoon Hatami

Jung Hyun Bae

2022/8/11

Massive Coded-NOMA for Low-Capacity Channels: A Low-Complexity Recursive Approach

IEEE Transactions on Communications

Mohammad Vahid Jamali

Hessam Mahdavifar

2021/3/8

Coded Computing via Binary Linear Codes: Designs and Performance Limits

IEEE Journal on Selected Areas in Information Theory

Mahdi Soleymani

Mohammad Vahid Jamali

Hessam Mahdavifar

2021/8/10

Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding

arXiv e-prints

Mohammad Vahid Jamali

Xiyang Liu

Ashok Vardhan Makkuva

Hessam Mahdavifar

Sewoong Oh

...

2021/2

Ko codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning

Ashok V Makkuva

Xiyang Liu

Mohammad Vahid Jamali

Hessam Mahdavifar

Sewoong Oh

...

2021/7/1

Uplink non-orthogonal multiple access over mixed RF-FSO systems

IEEE Transactions on Wireless Communications

Mohammad Vahid Jamali

Hessam Mahdavifar

2020/2/26

See List of Professors in Mohammad Vahid Jamali University(University of Michigan)

Co-Authors

H-index: 58
Pramod Viswanath

Pramod Viswanath

University of Illinois at Urbana-Champaign

H-index: 44
Sewoong Oh

Sewoong Oh

University of Washington

H-index: 44
Jawad A. Salehi, IEEE Fellow & Optica Fellow

Jawad A. Salehi, IEEE Fellow & Optica Fellow

Sharif University of Technology

H-index: 43
Hamed Hassani

Hamed Hassani

University of Pennsylvania

H-index: 23
Sajjad Abdollahramezani

Sajjad Abdollahramezani

Georgia Institute of Technology

H-index: 22
Hessam Mahdavifar

Hessam Mahdavifar

University of Michigan-Dearborn

academic-engine