Research Group

Faisal Nadeem completed an M.Phil. degree (Hons.) in Electronics Engineering from Quaid-i-Azam University, Pakistan, in 2014. He started his Ph.D. studies in 2018 in Electrical and Information Engineering at the University of Sydney (USyd). He received the USyd International Postgraduate Research Scholarship and Faculty of Engineering Ph.D. Completion Award. His research interest lies in ultra-reliable low-latency communications (URLLC), massive machine-type communication (mMTC), and wireless networked control (WNC) for the Industrial Internet of Things (IIoT).

During his Ph.D., he focused on enhancements in 5G new services, namely ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC). During the first phase of his research, he designed non-orthogonal hybrid automatic repeat request (N-HARQ) protocols for short packet communication that can increase communication reliability under a strict packet-level latency guarantee. He further optimized the proposed N-HARQ protocols for single and multi-user systems under various wireless channels of practice interests. Apart from the theoretical significance of N-HARQ design, it is crucial for various mission-critical applications, such as telesurgery, tactile Internet, factory automation (Industry 4.0), smart grids, etc. Currently, his research focuses on communication and control co-design with HARQ using short packet communication. He developed novel wireless networked communication and control techniques that improved the real-time remote estimation of physical processes critical for Industry 4.0. 

Faisal successfully completed his PhD in 2022, and is now with the Center for IoT and Telecommunications, The University of Sydney, as a Postdoctoral Research Associate in Wireless Communications. 

Dongtao Yan started his PhD in March 2024. His work mainly focuses on massive unsourced random access. 

Tyseer Bashir received his bachelor's degree in Telecommunication Engineering in 2016 from Kharkiv National University of Radio Electronics and his master's degree with honours in 2018 in Telecommunications Systems and Networks, also from Kharkiv National University of Radio Electronics. Throughout his bachelor's and master's degree studies, he received multiple awards, such as Best Student of the Year 2017, Best Student of the Year 2018, Award of Excellence 2017, and Award of Excellence 2018, all from Kharkiv National University of Radio Electronics. Currently, he is a PhD student at The University of Sydney's Centre for IoT and Telecommunication. His research interests include wireless communication, massive machine-type communication (mMTC), and the Internet of Things (IoT).

Tyseer started his PhD in March 2024. His work mainly focuses on Unequal Access Latency Random Access Protocol for Massive Machine-Type Communications. 

Fatemeh Namadchi received her B.Sc. degree (Hons.) in Electrical Engineering (Telecommunication) from Sadjad University of Technology and her M.Sc. degree (Hons.) in Electrical Engineering (Communication Systems) from Ferdowsi University of Mashhad in 2016 and 2019 respectively. Currently, she is a PhD student at The University of Sydney's Centre for IoT and Telecommunication. Her research interests include information and coding theory, wireless communication, Ultra-reliable low latency communication (URLLC), IoT, and machine learning. 

Fatemeh started her PhD in October 2022. During her PhD, she will develop techniques that enable efficient and reliable communication in the next generation of mobile communication (beyond 5G). She mainly focuses on the design of channel coding and decoding for short packet communications in 6G network. 

Ayoob Salari completed his PhD studies at The University of Sydney in 2023. He received his B.Sc. in Electrical Engineering from the Iran University of Science and Technology (IUST) in Tehran, Iran, in 2014 and his M.Sc. in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea, in 2017. 

His work mainly focused on the application of Machine learning (ML) techniques in wireless communications. In his recent work, he explored the potentials of advanced ML algorithms combined with non-orthogonal multiple access (NOMA) techniques for enabling massive grant-free access where a large number of devices share the same radio resources and the base station simultaneously identifies and detects users, estimates their channels, and decodes their messages. In his other work, he studied the performance of distributed learning algorithms over wireless channels and devised novel approaches to minimize the effect of communication errors on overall learning accuracy.

Ayoob is now a Postdoctoral Research Associate at the School of Electrical and Data Engineering, University of Technology, Sydney (UTS). 

Faisal Nadeem completed an M.Phil. degree (Hons.) in Electronics Engineering from Quaid-i-Azam University, Pakistan, in 2014. He started his Ph.D. studies in 2018 in Electrical and Information Engineering at the University of Sydney (USyd). He received the USyd International Postgraduate Research Scholarship and Faculty of Engineering Ph.D. Completion Award. His research interest lies in ultra-reliable low-latency communications (URLLC), massive machine-type communication (mMTC), and wireless networked control (WNC) for the Industrial Internet of Things (IIoT).

During his Ph.D., he focused on enhancements in 5G new services, namely ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC). During the first phase of his research, he designed non-orthogonal hybrid automatic repeat request (N-HARQ) protocols for short packet communication that can increase communication reliability under a strict packet-level latency guarantee. He further optimized the proposed N-HARQ protocols for single and multi-user systems under various wireless channels of practice interests. Apart from the theoretical significance of N-HARQ design, it is crucial for various mission-critical applications, such as telesurgery, tactile Internet, factory automation (Industry 4.0), smart grids, etc. Currently, his research focuses on communication and control co-design with HARQ using short packet communication. He developed novel wireless networked communication and control techniques that improved the real-time remote estimation of physical processes critical for Industry 4.0. 

Faisal successfully completed his PhD in 2022, and is now with the Center for IoT and Telecommunications, The University of Sydney, as a Postdoctoral Research Associate in Wireless Communications. 

Wen Jun Lim received the Bachelor of Engineering (Telecommunication) and Master of Engineering Science from The University of Malaya, Malaysia, in 2014 and 2017, respectively. He started his Ph.D. studies in 2018 with the Centre for IoT and Telecommunications, The University of Sydney. His major research interests are channel coding and wireless communication. 

During his Ph.D., Wen Jun focused on the design and analysis of Analog Fountain Codes (AFC) for short packet communications. In particular, he used the density evolution analysis to analyze AFC in the asymptotically long blocklength regime, where he also defined and solve the optimization problem to find teh optimal code parameters, including the weight set. He further studied the performance of AFC in the short block length regime and showed that by using a powerful precoder, AFC can be effectively used to meet the normal approximation bound in a wide range of SNRs without the channel state information at the transmitter side. He also studied the design of AFC for the multiple access channel in the short block length regime.  

Wen Jun successfully completed his PhD in 2022.