Asil Koc
6G R&I Senior Engineer @ InterDigital
Bio
ASIL KOC received the B.Sc. degree (Hons.) in electronics and communication engineering, the M.Sc. degree (Hons.) in telecommunication engineering from Istanbul Technical University, Istanbul, Turkey, in 2015 and 2017, respectively. He received the Ph.D. degree in electrical engineering from McGill University, Montreal, Canada in 2022.
From 2015 to 2017, he was a Research and Teaching Assistant with the Electronics and Communication Engineering Department, Istanbul Technical University. Since 2017 and 2021, he has been a Teaching Assistant and Lecturer, respectively, with the Electrical and Computer Engineering Department, McGill University. In 2022, he worked as Mitacs Accelarate Intern at Huawei Technologies Canada.
His research interests include, but not limited to AI/ML based wireless communications, massive MIMO, full-duplex, millimeter-wave/terahertz, beamforming, reconfigurable intelligent surface (RIS), and index modulation.
He was a recipient of Erasmus Scholarship by European Union, McGill Engineering Doctoral Award, IEEE ComSoc Student Travel Grant, Graduate Research Enhancement and Travel Award by McGill University, and STARaCom Collaborative Grant by the FRQNT.
Recent News
Jan/2023: Started working as 6G R&I Senior Engineer @ InterDigital, Inc.
Oct/2022: Successfully defended his PhD thesis "Hybrid Beamforming Techniques in Full-Duplex/Half-Duplex Massive MIMO Wireless Communications".
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])