Asil Koc
PhD Candidate @ McGill University
Bio
ASIL KOC received the B.Sc. degree (Hons.) in electronics and communication engineering and the M.Sc. degree (Hons.) in telecommunication engineering from Istanbul Technical University, Istanbul, Turkey, in 2015 and 2017, respectively. He is currently pursuing a Ph.D. degree in electrical engineering at McGill University, Montreal, QC, Canada.
From 2015 to 2017, he was a Research/Teaching Assistant with the Electronics and Communication Engineering Department, Istanbul Technical University. From 2017 to 2021, he was a Teaching Assistant with the Electrical and Computer Engineering Department, McGill University. Since 2021, he has been a Lecturer with the Electrical and Computer Engineering Department, McGill University. His research interests include AI/ML-based wireless communications, massive MIMO, full-duplex, millimeter-wave/terahertz, beamforming, index modulation, wireless power transfer, and cooperative networks.
He was a recipient of the Erasmus Scholarship Award by European Union, the McGill Engineering Doctoral Award, the IEEE ComSoc Student Travel Grant, the Graduate Research Enhancement and Travel Award by McGill University, and the STARaCom Collaborative Grant by the FRQNT.
Recent News
Aug/2022: Our UAV paper accepted in VTC'22-Fall in London, UK.
Aug/2022: Our RIS paper accepted in GLOBECOM'22 in Rio de Janeiro, Brazil.
May/2022: Attended (in-person) ICC'22 in Seoul, South Korea.
May/2022: Our paper on Intelligent Hybrid Beamformnig for Full-Duplex Multi-User Massive MIMO Systems [PDF] accepted in IEEE Access.
Apr/2022: Recipient of IEEE ComSoc Student Travel Grant (STG) for ICC'22 in Seoul, South Korea.
Apr/2022: Recipient of STARaCom Travel Grant.
Apr/2022: Recipient of PGSS Student Travel Award, McGill University.
Apr/2022: Attended (in-person) WCNC'22 in Austin, TX, USA.
Mar/2022: Our paper [PDF] accepted in IEEE Communications Letters.
Jan/2022: Our two papers accepted in ICC'22 in Seoul, South Korea.
Jan/2022: Our paper ([PDF] [VIDEO]) accepted in WCNC'22 in Austin, TX, USA.
Oct/2021: Our paper on Deep Learning based Channel Estimation [PDF] accepted in IEEE Access.
Mar/2021: Our paper on Full-Duplex Massive MIMO Systems [PDF] accepted in IEEE Open Journal of the Communications Society.
Sept/2020: Completed "Deep Learning Specialization" course @ Coursera ([Certificate])
Jul/2020: Completed "Machine Learning" course @ Stanford Online ([Certificate])