Shahid Mumtaz is an Innovative strategist with strong business acumen and passion for innovation, driving concepts, research, standards, prototypes, and products from conception to market. He has demonstrated the ability to establish cross-departmental, multidisciplinary, multi-site, and multi-cultural collaborative teams and programs. Shahid Mumtaz has more than 15 years of wireless industry/academic experience. Shahid Mumtaz received his Master’s and PhD degrees in Electrical & Electronic Engineering from the Blekinge Institute of Technology, Sweden, and the University of Aveiro, Portugal, in 2006 and 2011, respectively. Shahid Mumtaz is a full professor at Nottingham Trent University (NTU), UK, and a board member of the SWFIT (Smart Wireless Innovation Facility) Center at NTU, which is worth 15M Euro. Shahid Mumtaz is an IET Fellow, IEEE ComSoc/VTS Distinguished speaker, recipient of the IEEE ComSoC Young Researcher Award, founder and past EiC of IET “Journal of Quantum communication,” Vice-Chair: Europe/Africa Region- IEEE ComSoc: Green Communications & Computing society and Vice-chair for IEEE standard on P1932.1: Standard for Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks. His work resulted in technology transfer to companies and patented technology. His expertise lies in 5G/6G wireless technologies using AI/ML and Digital Twin tools and innovation path towards industrial and academic.

Moreover, he worked as a Senior 5G Consultant at Huawei and InterDigital, contributing to RAN1/RAN2. He authorises four technical books, 12 book chapters, 300+ technical papers (200+ Journals and Transactions, 90+ Conferences, four patents, two contributions to Standards, and 2 IEEE best paper awards in mobile communications.  In addition to his work on data science, he has contributed to Wireless communication, citing more than 20000 times with an H index over 75. He has been supervising/co-supervising several PhD and Master’s students. He uses mathematical and system-level tools to model and analyse emerging wireless communication architectures using AI/ML, leading to innovative Master’s theoretically optimal new communication techniques. He is working closely with leading R&D groups in the industry to transition these ideas to practice. He has secured funding of around 10M Euro.