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Martin Maier


Martin Maier - Institut National de la Recherche Scientifique (INRS), Montréal. Canada

MARTIN MAIER is a full professor with INRS, Montréal, Canada. He was educated at the Technical University of Berlin, Germany, and received M.Sc. and Ph.D. degrees (summa cum laude) in 1998 and 2003, respectively. In the summer of 2003 he was a postdoc fellow at the Massachusetts Institute of Technology (MIT), Cambridge. He was a visiting professor at Stanford University, Stanford, from October 2006 through March 2007. Further, he was a co-recipient of the 2009 IEEE Communications Society Best Tutorial Paper Award. He was a Marie Curie IIF Fellow of the European Commission from March 2014 through February 2015. In March 2017, he received the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt (AvH) Foundation in recognition of his accomplishments in research on FiWi enhanced networks. In May 2017, he was named one of the three most promising scientists in the category "Contribution to a better society" of the Marie Skłodowska-Curie Actions (MSCA) 2017 Prize Award of the European Commission.


Project: Realizing Immersive 5G Low-Latency Applications in FiWi Enhanced Mobile Networks

The Internet has been constantly evolving from the mobile Internet to the emerging Internet of Things (IoT) and future Tactile Internet. Similarly, the capabilities of future 5G networks will extend far beyond those of previous generations of mobile communication. This research project exploits the concept of fiber-wireless (FiWi) enhanced 4G LTE-A HetNets with artificial intelligence (AI) embedded multi-access edge computing (MEC), which was shown to meet the ultra-reliable and low-latency communication (URLLC) requirements of immersive 5G low-latency applications. The project addresses key open challenges by scaling up research in the area of optical fiber backhaul and wireless fronthaul networks and exploring the potential of decentralized blockchain technologies for a future low-latency Tactile Internet with built-in trust in human-machine co-activities across the Internet.