Page 40 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
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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,




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