W2: 1st IEEE Workshop on Sustainable and Intelligent Green Internet of Things for 6G and Beyond
Co-chair: Muhammad Ali Jamshed, University of Glasgow, UK
Co-chair: Masood Ur-Rehman, University of Glasgow, UK
Co-chair: Xianfu Chen, VTT, Finland
Co-chair: Muhammad Ali Imran, University of Glasgow, UK
Abstract: 6G, is expected to satisfy unprecedented requirements in terms of throughput, latency, massive connections, etc. With the hyper-connectivity among humans and everything, we are anticipating Internet of Things (IoT) applications in various fields, including smart city, smart factory, etc. However, to facilitate these IoT applications, the issues related to the heterogeneity, application requirements, and limited resources, requires greener and more advanced hardware and software upgrades. Future IoT systems feature a larger number of devices and multi-access environments where different types of wireless spectrum, including Sub6 GHz, Millimetre-wave, and Terahertz, should be efficiently utilized. The increased in the number of IoT devices also increases the challenges in keeping a net zero carbon emission rate. A resource efficient IoT architecture should be designed to deal with the limited storage and computational capability of IoT devices. Technologies, such as intelligent reflecting surface, multiple-input-multiple-output (MIMO), etc., are needed to be altered to support the challenges faced by these resource constraint IoT devices. Moreover, the network environment and system requirements change with the space and time, which require intelligent approaches. It is envisioned that the collaborative intelligence is the enabler for greener IoT systems. To enable a greener and smarter society, more research efforts should be conducted on collaborative intelligence and to incorporate new hardware upgrades for IoT systems. Therefore, this workshop aims at addressing the technical challenges for enabling collaborative intelligence and hardware upgrades for IoT systems, to support a greener and smarter society and to keep the 1.50 C goal of COP26 alive.
Muhammad Ali Jamshed
Bio: Muhammad Ali Jamshed received the B.Sc. degree in electrical engineering from COMSATS University, Islamabad, Pakistan, in 2013 and the M.Sc. degree in Wireless communications from the Institute of Space Technology, Islamabad Pakistan, in 2016, and a Ph.D. degree from the University of Surrey, Guildford, U.K, in 2021. He is endorsed by Royal Academy of Engineering under exceptional talent category. He was nominated for Departmental Prize for Excellence in Research in 2019 at the University of Surrey. He served briefly as Wireless Research Engineer at BriteYellow Ltd, UK, and then moved to James Watt School of Engineering, University of Glasgow, as a Post-Doctoral Research Assistant. He has contributed to a patent (under review) and authored/co-authored 2 book chapters and more than 27 technical articles in leading journals and peer reviewed conferences. His main research interests include EMF exposure reduction, low SAR antennas for mobile handsets, machine learning for wireless communication, Backscatter communication, and wireless sensor networks. He is serving as a Reviewer for IEEE Wireless Communication Letter. Moreover, he served as a Reviewer, TPC, and the Session Chair, at many well-known conferences, i.e., ICC, WCNC, VTC, GlobeCom etc., and other scientific workshops.
Bio: Masood Ur Rehman (S’06–M’10–SM’16) received the B.Sc. degree in electronics and telecommunication engineering from University of Engineering and Technology, Lahore, Pakistan in 2004 and the M.Sc. and Ph.D. degrees in electronic engineering from Queen Mary University of London, London, UK, in 2006 and 2010, respectively. He worked at Queen Mary University of London as a postdoctoral research assistant till 2012 before joining the Centre for Wireless Research at University of Bedfordshire as a Lecturer. He served briefly at the University of Essex and then moved to the James Watt School of Engineering at University of Glasgow in the capacity of an Assistant Professor in 2019. His research interests include compact antenna design, radiowave propagation and channel characterization, satellite navigation system antennas in cluttered environment, electromagnetic wave interaction with human body, body-centric wireless networks and sensors, remote health care technology, mmWave and nano communications for body-centric networks and D2D/H2H communications. He has worked on several projects supported by industrial partners and research councils. He is currently leading an international consortium of 5 institutes and 2 government entities on an ICRG project to devise wireless sensor-based solutions for combating deforestation. He has contributed to a patent and authored/co-authored 4 books, 8 book chapters and more than 120 technical articles (with an h-index of 21) in leading journals and peer reviewed conferences. Dr. Ur Rehman is a Fellow of the Higher Education Academy (UK), a member of the IET and part of the technical program committees and organizing committees of several international conferences, workshops, and special sessions. He is a committee member of IEEE APS/SC WG P145 and Pearson’s focus group on formative assessment. He is acting as an editor of PeerJ Computer Science, associate editor of IEEE Access, IET Electronics Letters and Microwave and Optical Technology Letters, topic editor for MDPI Sensors, editorial advisor to CambridgeScholars Publishing, and lead guest editor of numerous special issues of renowned journals. He is vice-chair of IEEE AP/MTT Scotland joint chapter and acted as TPC chair for UCET2020 and BodyNets2021 conferences. He also serves as a reviewer for EPSRC and international funding bodies, book publishers, IEEE conferences and leading journals.
Bio: Xianfu Chen received his Ph.D. degree with honours in signal and information processing from Zhejiang University, China, in 2012. He is currently a senior scientist with the VTT Technical Research Centre of Finland. His research interests cover various aspects of wireless communications and networking, with emphasis on human-level and artificial intelligence for resource awareness in next generation communication networks.
Muhammad Ali Imran
Bio: Professor Muhammad Ali Imran (M’03, SM’12) received his M.Sc. (Distinction) and Ph.D. degrees from Imperial College London, UK, in 2002 and 2007, respectively. He is a Professor in Communication Systems in University of Glasgow, Dean University of Glasgow UESTC, Head of Communications Sensing and Imaging (CSI) research group and Director of Glasgow UESTC Centre of Educational Development and Innovation. He is an affiliate Professor at the University of Oklahoma, USA; Adjunct Research Professor AIRC, Ajman University UAE and a visiting Professor at 5G Innovation centre, University of Surrey, UK.
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022
To submit a paper to this workshop, please visit: https://vtc2022s-rr-wks.trackchair.com/track/2037