Page 40 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
P. 40
ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4
She is a recipient of the IEEE SIU 2015 Conference Student 2‐year Academia Sinica fellowship. His research interests
BestPaperAward, theBest ThesisAwardforM.S.Program include signal processing, information theory, commu‐
and Graduate Courses Performance Award at the Middle nication theory, and optimization theory for wireless
East Technical University. communications.
Rakesh Mundlamuri received his Christo Kurisummoottil Thomas
B. Tech. degree in Electronics and received his B. Tech. degree in
Communication Engineering from Electronics and Com‐munication
Shiv Nadar University, Greater Engineering from National
Noida, India in 2018. From 2018 Institute of Technology, Calicut,
to 2019, he worked as a project India, in 2010, his M. E. degree
assistant in the 5G testbed devel‐ in telecommunication enginee‐
opment project at the Dept. of Electrical Communication ring from the Indian Institute of Science, Bengaluru,
Engineering, Indian Institute of Science, Bangalore, India. 2012, his D degr communication
Since 2019, he is pursuing his M. Sc. in mobile computing systems fr EURECOM, Fr 2020. Fr 2012
systems at EURECOM, France. In his M. Sc. he worked on t 2014, w design engineer Broadcom
the intersection of the topics of sparse Bayesian learning Technologies Pvt Lt Bengaluru and
and machine learning as well as real‐time 5G mm‐wave from 2014 to 2017, he was a design engineer with Intel
systems using OpenAirInterface. His research interests Corpor Bengaluru. Nov 2020, he
include machine learning in communication systems and engineer Wireless Research
real‐time systems. Development Qualcomm His
research interests include areas in wireless communica‐
Joan Palacios received his B. Sc.
statistical signal processing, compressed sensing,
degree in mathematics from the
and the analysis and design of mmWave systems.
Universitat de Valencia, Spain, in
2015, and the M. Sc. degree in mul‐ Sameera Bharadwaja Hayavadana
timedia and communications in received his E. degree
2016andPhDdegreein2020, both Telecommunication
from IMDEA Networks and the from P Institute of
University of Carlos III, Spain. His Technology Bangalore, India
areas of interest lie in millimeter‐ 2009 his M. T degree
wave communications with main from
research focus on the development of ef icient schemes the Indian Institute of Technology
for beam training and tracking, hybrid analog‐digital Roorkee, Roorkee, 2011.
beamforming, and angle difference of arrival‐based local‐
From 2011 to 2013, he worked as a systems engineer in
ization for quasi‐optical communication systems.
Innovation Labs, Tata Consultancy Services, Delhi where
Cenk M. Yetis [S’00, M’10] he worked on machine learning algorithms and appli‐
cations and in 2013, he joined Samsung Semiconductor
(cenkmyetis@ieee.org) received
India R&D (SSIR), Bangalore, India where he is currently
his B. Sc. degree in electronics
working as a senior staff engineer. His work at SSIR
engineering from Isik University,
involves design and development of machine learning
Istanbul, Turkey, in 2001, his M.
algorithm modules for semiconductor FAB equipment
Sc. degree in telecommunications
engineering from Istanbul Tech‐ diagnosis. Since 2019, he is pursuing his Ph. D. as an
external registrant from SSIR at Signal Processing for
nical University (ITU), in 2004, and his Ph. D. degree in
Communications lab in the Department of Electrical
satellite communications and remote sensing from ITU
Communication Engineering, Indian Institute of Science,
in 2010. He received The Scienti ic and Technological
Bangalore, India. His research interests include group
Research Council of Turkey (TUBITAK) scholarship from
testing, sparse signal recovery and machine learning.
2005 to 2009. From 2003 to 2007, he was with Turk
Telekom (formerly Avea), one of the top three wireless
services providers in Turkey, where he held rotational Emil Björnson (Senior Member,
responsibilities in operation and planning groups. From IEEE) received his M. S. degree
2007 to 2010, he was a visiting researcher at Ohio State in engineering mathematics from
University and the University of California, Irvine. From Lund University, Sweden, in 2007,
2010 to 2019, he held academic positions in universities and his Ph. D. degree in telecom‐
and research centers in Hong Kong, Singapore, Turkey, munications from the KTH Royal
and Taiwan (Province of China). In 2019, he joined Institute Technology, Sweden,
Lund University, Sweden as a Researcher to extend his in 2011. From 2012 to 2014, he held a joint postdoctoral
research and teaching activities. In 2017, he received a position with the Alcatel‐Lucent Chair on Flexible Radio,
24 © International Telecommunication Union, 2021