Page 120 - ITU Journal, Future and evolving technologies - Volume 1 (2020), Issue 1, Inaugural issue
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ITU Journal on Future and Evolving Technologies, Volume 1 (2020), Issue 1



          AUTHORS                                              machine learning conferences, such as ICML, NeurIPS,
                                                               ICLR, and AAAI.
                               Rahul   Singh received his
                               B. Tech.  degree in Electri-
                               cal Engineering from Indian
                               Institute of Technology, Kan-                        Dong Xuan received his B.S.
                               pur, India, in 2009, M.Sc.                           and M.S. degrees in Electronic
                               degree in Electrical Engineer-                       Engineering  from   Shanghai
                               ing from University of Notre                         Jiao Tong University, China,
                               Dame, South Bend, IN, in                             and his Ph.D. degree in Com-
                               2011, and his Ph.D. degree in                        puter Engineering from Texas
                               Electrical and Computer Engi-                        A&M University. In 2001, he
                               neering from the Department                          joined the Department of Com-
                               of Electrical and Computer                           puter Science and Engineering
                               Engineering Texas A&M Uni-      at The Ohio State University, where he is currently
          versity, College Station, TX, in 2015. Currently he is  a full professor. He was on the faculty of Electronic
          an Assistant Professor at the Department of Electrical  Engineering at Shanghai Jiao Tong University from
          Communication Engineering,  the Indian Institute     1993 to 1998 and a visiting scholar in Computer Science
          of Science.  His research interests include stochastic  at City University of Hong Kong from 1997 to 1998.
          control, machine learning, applied probability, networks  He was a research assistant/associate in the Real-Time
          and large-scale complex cyber physical systems.  He  Systems group in the Department of Computer Science
          has earlier worked as a Postdoctoral Researcher at the  at Texas A&M University from 1998 to 2001.  His
          Laboratory for Information Decision Systems (LIDS),  research interests include computer networking and
          Massachusetts Institute of Technology, at Intel, Santa  mobile systems. Dr. Xuan has served as an editor for
          Clara as a Machine Learning Engineer, and as a Data  IEEE TPDS and ACM ToSN, and has been a TPC
          Scientist at Encored Technologies.                   member for a number of IEEE and ACM flagship
                                                               conferences such as IEEE INFOCOM, ICDCS, ICNP,
                                                               and ACM MobiHoc. He is a recipient of the National
                               Wenbo    Ren   received  his    Science Foundation CAREER Award and the College
                               B.S. degree in Electronic In-   of Engineering Lumley Research Award at The Ohio
                               formation  Engineering  from    State University.
                               University  of  Science  and
                               Technology of China in 2016.
                               Since then, he has been a
                               Ph.D. student in Computer                            Zhiqiang   Lin received his
                               Science and Engineering at                           Ph.D. degree in Computer Sci-
                               The Ohio State University.                           ence from Purdue University in
                               His research interests include                       2011. He was a faculty mem-
          machine learning theory and algorithms, with a focus                      ber in the Computer Science
          on ranking, active learning, sequential decision making,                  Department at University of
          recommender systems, etc. He has made publications                        Texas at Dallas between 2011
          or served as reviewers for top-tier machine learning                      and 2017. Since 2018, he has
          conferences including ICML, NeurIPS, and AISTATS.    been a faculty member in the Department of Computer
                                                               Science and Engineering at Ohio State University. His
                                                               research interests are systems and software security,
                               Fang Liu received his B.S.      with an emphasis on binary analysis and vulnerability
                               degree in Information Engi-     discovery. Dr. Lin is currently an associate editor of
                               neering from Shanghai Jiao      ACM TOPS, IEEE TDSC, and IEEE TMC. He has
                               Tong University, China, and his  also served as a TPC member for numerous systems
                               Ph.D. degree in Electrical and  security conferences including IEEE S&P, ACM CCS,
                               Computer Engineering from       USENIX Security, and NDSS. Dr.    Lin received the
                               The Ohio State University. In   AFOSR Young Investigator award (2014) and the
                               2020, he joined Facebook Inc.   NSF CAREER award (2015). He is also a recipient
                               as a research scientist.  His   of VMware Faculty Research Award (2012) and the
          research interests include machine learning theory and  Outstanding Junior Faculty Research Award at UT
          systems, with a focus on sequential decision making  Dallas (2013).
          under uncertainty. Dr. Liu has served as a program
          committee member or reviewer for many top-ranked





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