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A. Taufiq Asyhari
500 Points

Contributions by role

Editor 500

Contributions by subject area

Computer Networks and Communications
Data Science
Mobile and Ubiquitous Computing
Algorithms and Analysis of Algorithms
Cryptography
Security and Privacy
Data Mining and Machine Learning
Emerging Technologies

A. Taufiq Asyhari


Summary

A. Taufiq Asyhari received the BEng (Hons) degree in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, in 2007, and the PhD degree in Information Engineering from the University of Cambridge, UK, in 2012. He is Professor of Data Science at Monash University, Indonesia and Visiting Professor of Future Communication Systems at Birmingham City University, UK. He has been an Academic Visitor at Cranfield University, UK, and Telkom University, Indonesia. He previously held full-time/visiting positions at National Chiao Tung University, Bell Laboratories, and the University of Stuttgart. His research interests include the areas of information theory, communication and coding theory, and signal processing techniques with applications to wireless and molecular communication networks, the Internet of Things, and data analytics.

Dr Asyhari is a Fellow of the Higher Education Academy, UK and Senior Member of IEEE. He has served as a member of the Editorial Board and the Technical Program Committee in numerous leading international journals and conferences. He is currently the Academic Lead for the multi-million pound 5G Connected Forest project funded by the UK DCMS. He received the notable Samsung Global Research Outreach Award, in 2017, the Silver Medal at the International Trade Fair iENA 2017, the IEEE-EURASIP Best Paper Award at ISWCS 2014, the National Science Council of Taiwan Starting Grant, in 2013, and the Cambridge Trust - Yousef Jameel Scholarship.

Algorithms & Analysis of Algorithms Computer Networks & Communications Data Mining & Machine Learning Data Science Mobile & Ubiquitous Computing

Past or current institution affiliations

Monash University

Work details

Professor of Data Science

Monash University
June 2023
Data Science (Indonesia Campus)

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 2

Academic Editor on

January 3, 2025
Expectation maximization—vector approximate message passing based generalized linear model for channel estimation in intelligent reflecting surface-assisted millimeter multi-user multiple-input multiple-output systems
Shoukath Ali K, Sajan P Philip, Arfat Ahmad Khan, Leeban Moses, Korhan Cengiz, Sedat Akleylek, Nikola Ivković
https://doi.org/10.7717/peerj-cs.2582
July 12, 2024
Range aware message drop policy for delay tolerant networks
Samiullah Khan, Khalid Saeed, Muhammad Faran Majeed, Khursheed Aurangzeb, Zahoor Ahmad, Muhammad Shahid Anwar, Piratdin Allayarov
https://doi.org/10.7717/peerj-cs.2099