Next-generation Wireless Networks Meet Advanced Machine Learning Applications

Dr. Ioan-Sorin Comsa is a Research Assistant in 5G radio resource scheduling at Brunel University, London, UK. He was awarded the B.Sc. and M.Sc. degrees in Telecommunications from the Technical University of Cluj-Napoca, Romania in 2008 and 2010, respectively. He received his Ph.D. degree from the Institute for Research in Applicable Computing, University of Bedfordshire, UK in June 2015. He was also a Ph.D. Researcher with the Institute of Complex Systems, University of Applied Sciences of Western Switzerland. Since 2015, he worked as a Research Engineer at CEA-LETI in Grenoble, France. His research interests include intelligent radio resource and QoS management, reinforcement learning, data mining, distributed and parallel computing, adaptive multimedia delivery in heterogeneous wireless networks.

Ramona Trestian is a Lecturer with the Computer and Communications Engineering Department, School of Science and Technology, Middlesex University, London, UK. She was previously an IBM-IRCSET Exascale Postdoctoral Researcher with the Performance Engineering Laboratory (PEL) at Dublin City University (DCU), Ireland since December 2011. She was awarded the PhD from Dublin City University in March 2012 and the B.Eng. degree in Telecommunications from the Electronics, Telecommunications, and the Technology of Information Department, Technical University of Cluj-Napoca, Romania in 2007. She has published in prestigious international conferences and journals and has two edited books. She is a reviewer for international journals and conferences and an IEEE member. Her research interests include mobile and wireless communications, multimedia streaming, handover and network selection strategies, and software-defined networks.