Sangarapillai Lambotharan

Sangarapillai Lambotharan

Loughborough University

H-index: 41

Europe-United Kingdom

About Sangarapillai Lambotharan

Sangarapillai Lambotharan, With an exceptional h-index of 41 and a recent h-index of 29 (since 2020), a distinguished researcher at Loughborough University, specializes in the field of 5G Networks, MIMO, Radars, Signal Processing, Machine Learning.

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

Secrecy Rate Maximization for Intelligent Reflective Surface-Assisted MIMO Communication Radar

Constrained Risk-Sensitive Deep Reinforcement Learning for eMBB-URLLC Joint Scheduling

Adversarial Poisoning Attacks on Federated Learning in Metaverse

Federated learning enabled link scheduling in D2D wireless networks

Distributed intelligence in wireless networks

Kalman filter based channel tracking for RIS-assisted multi-user networks

Evidential classification for defending against adversarial attacks on network traffic

Performance analysis of RIS-assisted cell-free massive MIMO systems with transceiver hardware impairments

Sangarapillai Lambotharan Information

University

Position

___

Citations(all)

6063

Citations(since 2020)

2883

Cited By

4197

hIndex(all)

41

hIndex(since 2020)

29

i10Index(all)

121

i10Index(since 2020)

68

Email

University Profile Page

Loughborough University

Google Scholar

View Google Scholar Profile

Sangarapillai Lambotharan Skills & Research Interests

5G Networks

MIMO

Radars

Signal Processing

Machine Learning

Top articles of Sangarapillai Lambotharan

Title

Journal

Author(s)

Publication Date

Secrecy Rate Maximization for Intelligent Reflective Surface-Assisted MIMO Communication Radar

IEEE Internet of Things Journal

Xinze Li

Zheng Li

Zhengyu Zhu

Dawei Zhang

Lei Liu

...

2023/12/12

Constrained Risk-Sensitive Deep Reinforcement Learning for eMBB-URLLC Joint Scheduling

IEEE Transactions on Wireless Communications

Wenheng Zhang

Mahsa Derakhshani

Gan Zheng

Sangarapillai Lambotharan

2024/3/18

Adversarial Poisoning Attacks on Federated Learning in Metaverse

Marios Aristodemou

Xiaolan Liu

Sangarapillai Lambotharan

2023/5/28

Federated learning enabled link scheduling in D2D wireless networks

IEEE Wireless Communications Letters

Tianrui Chen

Xinruo Zhang

Minglei You

Gan Zheng

Sangarapillai Lambotharan

2023/10/2

Distributed intelligence in wireless networks

IEEE Open Journal of the Communications Society

Xiaolan Liu

Jiadong Yu

Yuanwei Liu

Yue Gao

Toktam Mahmoodi

...

2023/4/12

Kalman filter based channel tracking for RIS-assisted multi-user networks

IEEE Transactions on Wireless Communications

Danyang Yu

Gan Zheng

Arman Shojaeifard

Sangarapillai Lambotharan

Yi Liu

2023/9/12

Evidential classification for defending against adversarial attacks on network traffic

Information Fusion

Matthew Beechey

Sangarapillai Lambotharan

Konstantinos G Kyriakopoulos

2023/4/1

Performance analysis of RIS-assisted cell-free massive MIMO systems with transceiver hardware impairments

IEEE Transactions on Communications

Yao Zhang

Wenchao Xia

Haitao Zhao

Gan Zheng

Sangarapillai Lambotharan

...

2023/8/21

Bayesian optimisation-driven adversarial poisoning attacks against distributed learning

IEEE Access

Marios Aristodemou

Xiaolan Liu

Sangarapillai Lambotharan

Basil AsSadhan

2023/8/11

Fhefl: Fully homomorphic encryption friendly privacy-preserving federated learning with byzantine users

arXiv preprint arXiv:2306.05112

Yogachandran Rahulamathavan

Charuka Herath

Xiaolan Liu

Sangarapillai Lambotharan

Carsten Maple

2023/6/8

Efficient wireless federated learning with adaptive model pruning

Zhixiong Chen

Wenqiang Yi

Sangarapillai Lambotharan

Arumugam Nallanathan

2023/12/4

A hybrid training-time and run-time defense against adversarial attacks in modulation classification

IEEE Wireless Communications Letters

Lu Zhang

Sangarapillai Lambotharan

Gan Zheng

Guisheng Liao

Ambra Demontis

...

2022/3/15

Bayesian Optimization of Queuing-Based Multichannel URLLC Scheduling

IEEE Transactions on Wireless Communications

Wenheng Zhang

Mahsa Derakhshani

Gan Zheng

Chung Shue Chen

Sangarapillai Lambotharan

2022/9/21

Low-complexity antenna selection and discrete phase-shifts design in IRS-assisted multiuser massive MIMO networks

IEEE transactions on vehicular technology

Zaid Abdullah

Gaojie Chen

Sangarapillai Lambotharan

Jonathon A Chambers

2022/2/1

A countermeasure against adversarial attacks on power allocation in a massive MIMO network

Lu Zhang

Sangarapillai Lambotharan

Gan Zheng

2022/8/17

Opportunistic Fountain Coding with Coordinative Routing

IEEE Wireless Communications Letters

Tong Peng

Sangarapillai Lambotharan

Gan Zheng

Mohammad Shikh-Bahaei

2022/1/31

Investigation of deep learning architectures and features for adversarial machine learning attacks in modulation classifications

Marios Aristodemou

Sangarapillai Lambotharan

Gan Zheng

Leonidas Aristodemou

2022/6/26

Bayesian optimization of blocklength for urllc under channel distribution uncertainty

Wenheng Zhang

Mahsa Derakhshani

Saeed R Khosraviradsup

Sangarapillai Lambotharan

2022/6/19

Risk-aware contextual learning for edge-assisted crowdsourced live streaming

IEEE Journal on Selected Areas in Communications

Xingchi Liu

Mahsa Derakhshani

Lyudmila Mihaylova

Sangarapillai Lambotharan

2022/12/21

Adversarial learning in transformer based neural network in radio signal classification

Lu Zhang

Sangarapillai Lambotharan

Gan Zheng

2022/5/23

See List of Professors in Sangarapillai Lambotharan University(Loughborough University)

Co-Authors

H-index: 67
Jonathon A Chambers

Jonathon A Chambers

University of Leicester

H-index: 41
Jie Tang (唐杰)

Jie Tang (唐杰)

South China University of Technology

H-index: 32
Leila Musavian

Leila Musavian

University of Essex

H-index: 22
Yoga Rahulamathavan

Yoga Rahulamathavan

Loughborough University

H-index: 17
Mahsa Derakhshani

Mahsa Derakhshani

Loughborough University

H-index: 11
Cenk Toker

Cenk Toker

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