Qammer Abbasi

Future wireless networks are expected be more than allowing people, mobile devices, and objects to communicate with each other. The sixth generation (6G) of mobile networks are envisioned to include high data rate applications and ultra-massive, connected things. This also includes bio and nano-internet of things (IoT) tele-operated driving, unmanned mobility, haptic communications, unmanned aerial vehicles, and many more. Given the size of nano-sensors, THz frequency is proposed to do various sensing activities at this scale. However, it will be ideal to use the same radio frequency for communications as well. Furthermore, THz is also proposed as an enabler of extremely high data rate applications in 6G communications. The talk will be focused on Terahertz antenna  design, Reconfigurable Intelligent Surfaces (RISs) and its role for joint communication and sensing feature of 6G.

Biography:

Qammer H. Abbasi (SMIEEE, FRET, Industrial FREng, FRSA, FEAI), Professor of Applied Electromagnetics & Sensing with the James Watt School (JWS) of Engineering, Theme lead for Connecting People priority  at JWS, executive director for Communication Sensing and Imaging (CSI) Hub and deputy theme lead for Quantum technologies in the University’s flagship Advance Research Centre  at University of Glasgow, UK. He has  grant portfolio of £10M+ and contributed to more than 500+ leading international technical journal (including nature portfolio) and peer reviewed conference papers, 11 books and received several recognitions for his research including UK exceptional talent endorsement by Royal Academy of Engineering, Sensor 2021 Young Scientist Award, University level Teaching excellence award  in addition to coverage by various media houses including Analog IC tips, Microwaves & RF newsletters, Vertical news, Pakistan Dawn news, BBC news, Scotland TV, Fiercewireless and many other media houses. Prof. Abbasi is an IEEE senior member and is chair of IEEE AP/MTT UK, Ireland and Scotland joint chapter. He is an Associate editor for IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, IEEE Sensors, IEEE Internet of Things, IEEE open access Antenna and Propagation, IEEE JBHI and scientific reports. He was/is a committee member for IEEE APS Young professional, Sub-committee chair for IEEE YP Ambassador program,  IEEE 1906.1.1 standard on nano communication, IEEE APS/SC WG P145, IET Antenna & Propagation and healthcare network. He is/was Fellow of Royal Society of Arts, industrial Fellow of Royal Academy of Engineering and Fellow of  European Alliance of innovation.

Address:Glasgow, United Kingdom

Michalis Matthaiou

The next generation multiple access (NGMA) techniques are expected to achieve massive and ubiquitous access for a large number of devices and provide high spectral efficiency in ultra-dense networks. To meet these unprecedented mobile traffic demands, a paradigm shift from the conventional cellular networks towards distributed communication systems is required. Cell-free massive multiple-input multiple-output (CF-mMIMO) is considered as a practical and scalable embodiment of the distributed/ network MIMO systems, which inherits not only the key benefits from colocated massive MIMO systems, but also the macro-diversity gain from the distributed systems. In this presentation, we provide an overview of current research efforts on the CF-mMIMO systems and their promising future application scenarios including ISAC. Then, we elaborate on the new requirements for CF-mMIMO networks and propose a unifying framework for NGMA based on virtual full-duplex and CF-mMIMO.

Biography:

Michalis Matthaiou is the Chair Professor of Communications Engineering and Signal Processing and Deputy Director of the Centre for Wireless Innovation (CWI) at Queen’s University Belfast, U.K. Dr. Matthaiou and his coauthors received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2017. He currently holds the ERC Consolidator Grant BEATRICE (2021-2026) focused on the interface between information and electromagnetic theories. He received the prestigious 2023 Argo Network Innovation Award, the 2019 EURASIP Early Career Award and the 2018/2019 Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellowship. His team was also the Grand Winner of the 2019 Mobile World Congress Challenge. He is currently the Editor-in-Chief of Elsevier Physical Communication, a Senior Editor for IEEE Wireless Communications Letters and IEEE Signal Processing Magazine, and an Associate Editor for IEEE Transactions on Communications.  He is an IEEE Fellow.

Address:Belfast, United Kingdom

Dr Zilong Liu

A fundamental research problem in ISAC is how to efficiently develop optimal/good waveforms that can be used for simultaneous sensing and communications. In the first part of this talk, I will introduce a novel multicarrier ISAC waveform having low peak-to-average power ratio property. We consider a flexible and generic ISAC structure in which a number of non-contiguous sub-bands for data transmission are located in a large contiguous spectrum band. Optimization is carried out for those non-communication subcarriers with the aid of the majorization-minimization method. In the second part, I will introduce several families of sensing sequences for low-complexity delay-Doppler estimation in ISAC systems. Fundamental limits and systematic constructions of these sequences will be presented. 

Biography:

Dr Zilong Liu has been with the School of Computer Science and Electronic Engineering, University of Essex, since December 2019, first as a Lecturer and then a Senior Lecturer since October 2023. He received his PhD (2014) from School of Electrical and Electronic Engineering, Nanyang Technological University (NTU, Singapore), Master Degree (2007) in the Department of Electronic Engineering from Tsinghua University (China), and Bachelor Degree (2004) in the School of Electronics and Information Engineering from Huazhong University of Science and Technology (HUST, China).  

From Jan. 2018 to Nov. 2019, he was a Senior Research Fellow at the Institute for Communication Systems (ICS), Home of the 5G Innovation Centre (5GIC), University of Surrey, during which he studied the air-interface design of 5G communication networks. Prior to his career in UK, he spent nine and half years in NTU, first as a Research Associate (Jul. 2008 to Oct. 2014) and then a Research Fellow (Nov. 2014 to Dec. 2017). His PhD thesis “Perfect- and Quasi- Complementary Sequences”, focusing on fundamental limits, algebraic constructions, and applications of complementary sequences in wireless communications, has settled a few long-standing open problems in the field.

His research lies in the interplay of coding, signal processing, and communications, with a major objective of bridging theory and practice as much as possible. Recently, he has developed an interest in advanced 6G V2X communication/sensing/localization technologies for future connected autonomous vehicles as well as machine learning for enhanced communications and networking. His research is/was funded by EPSRC, The Royal Society, EU-H2020, The Research Council of Norway, The Research Foundation of Singapore, etc.  

He is a Senior Member of IEEE and an Associate Editor of IEEE Transactions on Vehicular Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Wireless Communications Letters, IEEE Access, Frontiers in Communications and Networks, Frontiers in Signal Processing, and Advances in Mathematics of Communications. He was a Track Co-Chair on Networking and MAC in IEEE PIMRC’2023. He was the Hosting General Co-Chair of the 10th IEEE International Workshop on Signal Design and its Applications in Communications (iwsda2022.github.io) and a TPC Co-Chair of the 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS’2020). He was a tutorial speaker of VTC-Fall’2021 and APCC’2021 on code-domain NOMA. He was a Consultant to the Japanese government on 6G assisted autonomous driving in 2023. Details of his research can be found at: https://sites.google.com/site/zilongliu2357.

Address:School of Computer Science and Electronic Engineering, , Essex, United Kingdom