Editor-in-Chief

Chan-Byoung Chae
Yonsei University, Korea

Chan-Byoung Chae is the Underwood Distinguished Professor at Yonsei University in Korea. He was with the Department of Electrical Engineering, Stanford University, CA, USA as a Visiting Associate Professor in 2017. He was a Member of Technical Staff at Bell Laboratories, Alcatel-Lucent, Murray Hill, NJ, USA from June 2009 to Feb 2011. Before joining Bell Laboratories, he was with the School of Engineering and Applied Sciences at Harvard University, Cambridge, MA, USA as a Post-Doctoral Research Fellow. He received the Ph.D. degree in Electrical and Computer Engineering from The University of Texas (UT), Austin, TX, USA in 2008, where he was a member of the Wireless Networking and Communications Group (WNCG). Prior to joining UT, he was a Research Engineer at the Advanced Research Lab., the Telecommunications R&D Center, Samsung Electronics, Suwon, Korea, from 2001 to 2005. 

He has served/serves as an Editor for the IEEE Communications Magazine, the IEEE Trans. on Wireless Communications, the IEEE Wireless Communications Letters,  and IEEE/KICS Jour. of Comm. Networks. He was a Guest Editor for the IEEE Jour. Sel. Areas in Comm. (special issue on molecular, biological, and multi-scale comm.) and the IEEE Access. Dr. Chae was the recipient/co-recipient of the National Academy of Engineering of Korea (NAEK) Award in 2019, the IEEE DySPAN Best Demo Award in 2018, the IEEE/KICS Jour. of Comm. Networks Best Paper Award in 2018, the IEEE INFOCOM Best Demo Award in 2015, the IEIE/IEEE Joint Award for Young IT Engineer of the Year in 2014, the IEEE Signal Processing Magazine Best Paper Award in 2013, the IEEE ComSoc AP Outstanding Young Researcher Award in 2012, the IEEE Dan. E. Noble Fellowship Award in 2008.

Editorial Assistant

Christina Tang-Bernas
University of Southern California, USA

Associate Editors

Chun Tung Chou
The University of New South Wales, Australia
Chun Tung Chou is an Associate Professor at the School of Computer Science and Engineering, The University of New South Wales, Australia. He received the BA degree in Engineering Science from the University of Oxford, UK and the PhD degree in Control Engineering from the University of Cambridge, UK. He is on the editorial board of IEEE Wireless Communications Letters and Nano Communication Networks. His research interests are in the communications and computing aspects of natural and synthetic bio-molecular systems.

Yansha Deng
King's College London, UK
Yansha Deng is currently a Lecturer (Assistant Professor) in department of Informatics, Kings College London, U. K. She received the Ph.D. degree in electrical engineering from the Queen Mary University of London, U.K. in 2015. From 2015 to 2017, she was a Post-Doctoral Research Fellow with Kings College London, U.K.. Her research interests include signal processing and channel modeling of molecular communication, chemical circuits and genetic circuit design for molecular communication. She was a recipient of the Best Paper Awards from ICC 2016 and Globecom 2017 in the area of molecular communication. She is currently an Editor of IEEE Transactions on Communications and IEEE Communication Letters.

Maged Elkashlan
Queen Mary University of London, UK
Maged Elkashlan received the PhD degree in Electrical Engineering from the University of British Columbia in 2006. From 2007 to 2011, he was with the Commonwealth Scientific and Industrial Research Organization (CSIRO) Australia. During this time, he held visiting appointments at University of New South Wales and University of Technology Sydney. In 2011, he joined the School of Electronic Engineering and Computer Science at Queen Mary University of London. Dr. Elkashlan currently serves as Editor of IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology. He received Best Paper Awards at IEEE International Conference on Communications (ICC) 2016 and 2014, the International Conference on Communications and Networking in China (CHINACOM) 2014, and the IEEE Vehicular Technology Conference (VTC-Spring) 2013. 

Faramarz Fekri
Georgia Institute of Technology, USA
Faramarz Fekri received Ph.D. degree from the Georgia Institute of Technology in 2000. Since 2000, Dr. Fekri has been with the faculty of the School of Electrical and Computer
Engineering at the Georgia Institute of Technology where he currently holds a Professor position. He serves on the Technical Program Committees of several IEEE conferences. In the past, he was on the editorial board of the IEEE Transactions on Communications, and the Elsevier Journal on PHYCOM.

Prof. Fekri's current research interests are in the area of communications and signal processing, in particular source and channel coding, information theory in biology, statistical inference in large data, information processing for wireless and sensor networks, and communication security. Dr. Fekri received the National Science Foundation CAREER Award (2001), Southern Center for Electrical Engineering Education (SCEEE) Young Faculty Development Award (2003), and Outstanding Young faculty Award of the School of ECE (2006). He is a Senior Member of the IEEE.

Ananth Grama
Purdue University, USA
Ananth Grama is the Director of the Computational Science and Engineering and Computational Life Sciences programs and Professor of Computer Science at Purdue University. He also serves as the Associate Director of the Center for Science of Information, a Science and Technology Center of the National Science Foundation. Dr. Gama received his Ph.D. from the> University of Minnesota in 1996, his M.S. in Electrical Engineering in 1990, and his B. Engg. in 1989 from the Indian Institute of Technology, Roorkee.

Ananth's research interests span the areas of parallel and distributed computing algorithms and applications, including modeling, simulation, and control of diverse processes and phenomena. He is a recipient of the National Science Foundation CAREER award (1998), University Faculty Scholar Award (2002-07), and is a Fellow of the American Association for the Advancement of Sciences (2013). He chaired the Bio-data Management and Analysis (BDMA) Study Section of the National Institutes of Health from 2012 - 14.

Pulkit Grover
Carnegie Mellon University, USA
Pulkit Grover (Ph.D. UC Berkeley'10, B.Tech, M. Tech IIT Kanpur) is an associate professor at CMU (2013-present). His main contributions to science are towards developing and experimentally validating a new theory of information (fundamental limits, practical designs) for efficient and reliable communication, computing, sensing, and control, e.g. by incorporating novel circuit-energy models and developing new mathematical tools for information flow analyses. To apply these ideas to a variety of problems including novel biomedical systems, his lab works extensively with system and device engineers, neuroscientists, and doctors. Specifically, work of his neuroengineering lab is focused on tools (theoretical, computational, and hardware) for understanding, diagnosing, and treating disorders such as epilepsy, Parkinson's, and traumatic brain injuries. Pulkit received the 2010 best student paper award at IEEE Conference on Decision and Control; the 2011 Eli Jury Dissertation Award from UC Berkeley; the 2012 Leonard G. Abraham best journal paper award from the IEEE ComSoc; a 2014 NSF CAREER award; a 2015 Google Research Award; a 2018 Dean's Early Career Fellowship from CMU CIT; and a 2018 inaugural award from the Chuck Noll Foundation for Brain Injury Research. He presented an ISIT’17 tutorial on "coded computing," an emerging science of computing in presence of faults, delays, errors. In 2018, he received the Joel and Ruth Spira Excellence in Teaching Award. He's learning how to play the sax and enjoys his free time with his wife, Kristen, and son, Utsah.

Weisi Guo
University of Warwick, UK
Weisi Guo is an associate professor at the University of Warwick and a Turing Fellow at the Alan Turing Institute. He has published 110+ peer reviewed papers in wireless communications, molecular communications, data science, and complex networks. He is the recipient of the IET Innovation Award and twice runner-up in the Bell Labs Prize. He has been PI on over £2m of funding and works with a variety of commercial and government entities to expand the impact of his research.

Goo Jun
University of Texas at Houston, USA
Goo Jun received his Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin, M.S. degree from the University of Michigan at Ann Arbor, and B.S. degree from KAIST, South Korea, respectively.  He completed his post-doctoral training at the Center for Statistical Genetics, University of Michigan at Ann Arbor in 2014. He is currently an Assistant Professor at Human Genetics Center, UTHealth School of Public Health. He has worked on machine learning, image processing, and remote sensing. Since his post-doctoral training, he has been working on statistical genetics, computational biology, bioinformatics, and sequence data analysis. His research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. He has been working on the analysis of large-scale next-generation sequencing data, for which he developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. These tools have been used as one of the main software pipelines in many large-scale sequencing projects including the 1000 Genomes Project. Dr. Goo Jun is currently serving as an academic editor at PeerJ.

Vikram Krishnamurthy
The University of British Columbia, Canada
Vikram Krishnamurthy received his PhD from the Australian National University, Canberra, in 1992. He is currently a professor and holds the Canada Research Chair in statistical signal processing at the Department of Electrical Engineering, University of British Columbia, Canada. His current research interests include statistical signal processing and stochastic control with applications in social networks, and dynamical models for protein molecules in biosensing devices. Dr Krishnamurthy has served as Distinguished lecturer for the IEEE signal processing society and Editor in Chief of IEEE Journal Selected Topics in Signal Processing. He received an honorary doctorate from KTH (Royal Institute of Technology), Sweden in 2013.

Tommaso Melodia
Northeastern University, USA
Tommaso Melodia is an Associate Professor with the Department of Electrical and Computer Engineering at Northeastern University, where he directs the Wireless Networks and Embedded Systems Laboratory. He received his Ph.D. in Electrical and Computer Engineering from the Georgia Institute of Technology in 2007. He had previously received his M.S. in Telecommunications Engineering and Doctorate from the University of Rome "La Sapienza", Rome, Italy, in 2001 and 2005. He is an Associate Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia, and Computer Networks. His research is currently supported by several grants from the National Science Foundation, the Air Force Research Laboratory, the Office of Naval Research, and local and national industrial partners. He received a National Science Foundation CAREER award, and coauthored a paper that was recognized as the "Fast Breaking Paper in the field of Computer Science" by Thomson ISI Essential Science Indicators and a paper that received the "Elsevier Top Cited Paper Award". His research interests are in modeling, optimization, and experimental evaluation of wireless networks, with applications to ultrasonic intra-body area networks, multimedia sensor networks, underwater networks, cognitive and cooperative networks.

Olgica Milenkovic
University of Illinois at Urbana–Champaign, USA
Olgica Milenkovic is a professor of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign (UIUC), and Research Professor at the Coordinated Science Laboratory. She obtained her Masters Degree in Mathematics in 2001 and PhD in Electrical Engineering in 2002, both from the University of Michigan, Ann Arbor. Prof. Milenkovic heads a group focused on addressing unique interdisciplinary research challenges spanning the areas of algorithm design and computing, bioinformatics, coding theory, machine learning and signal processing. Her scholarly contributions have been recognized by multiple awards, including the NSF Faculty Early Career Development (CAREER) Award, the DARPA Young Faculty Award, the Dean’s Excellence in Research Award, and several best paper awards. In 2013, she was elected a UIUC Center for Advanced Study Associate and Willett Scholar. In 2015, she became Distinguished Lecturer of the Information Theory Society. From 2007 until 2015, she has served as Associate Editor of the IEEE Transactions of Communications, Transactions on Signal Processing and Transactions on Information Theory. In 2009, she was the Guest Editor in Chief of a special issue of the IEEE Transactions on Information Theory on Molecular Biology and Neuroscience.

Tadashi Nakano
Osaka University, Japan
Tadashi Nakano is an Associate Adjunct Professor of the Institute for Academic Initiatives, Osaka University, and a Visiting Associate Professor of the Graduate School of Frontier Biosciences, Osaka University. He received his Ph.D. degree in Information Systems Engineering from Osaka University, 2002. He later worked in the Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine, where he was a postdoctoral research scholar from 2002 to 2007 and an Assistant Adjunct Professor from 2007 to 2009. From 2009 to 2013, he was an Associate Professor at the Graduate School of Engineering, Osaka University, and since 2013, he has been with the Institute of Academic Initiatives and the Graduate School of Frontier Biosciences, Osaka University.

Dr. Nakano’s research interests include network applications and distributed computing systems with strong emphasis on interdisciplinary approaches. His recent research interests are at the intersection of computer science and biology, including design, implementation, and evaluation of molecular communication systems, synthetic biological systems, and biologically inspired systems. As a pioneer in the area of molecular communication, he has authored and co-authored a number of papers, including the very first paper that initiated the area of molecular communication (2005) and a comprehensive textbook Molecular Communication (Cambridge University Press, 2013). He has also organized/co-organized technical sessions, workshops and conferences in the areas of molecular communication and bio-inspired networking, such as the NSF Workshop on Molecular Communication/Biological Communications Technology (2008), molecular communication and networking session in IEEE International Conference on Communications (ICC) (2014), and the International Conference on Bio-inspired Information and Communications Technologies (BICT 2014-2015). In addition to the editorship in the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, he has been serving as an associate editor of the IEEE Transactions on Nanobiosciences and an editor of the Elsevier journal of Nano Communication Networks.

Masoumeh Nasiri-Kenari
Sharif University of Technology, Iran
Masoumeh Nasiri Kenari received her B.S and M.S. degrees in electrical engineering from Isfahan University of Technology, Isfahan, Iran, in 1986 and 1987, respectively, and her Ph.D. degree in electrical engineering from University of Utah, Salt Lake City, in 1993. From 1987 to 1988, she was a Technical Instructor and Research Assistant at Isfahan University of Technology. Since 1994, she has been with the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran, where she is now a Professor.

Prof. Nasiri-Kenari founded Wireless Research Laboratory (WRL) of the Electrical Engineering Department in 2001. Current main activities of WRL are Energy Harvesting and Green Communications, 5G, and Molecular Communications. From 1999-2001, She was a Co-Director of Advanced Communications Research Laboratory, Iran Telecommunication Research Center. She was the chair of IEEE Women in Engineering (WIE)- Iran Section (2012-2016), and right now is a member of Women in Engineering Task group of Iranian Academy of Science, and a Member of Iranian National science Foundation (INSF) Engineering Committee/Workgroup. She serves as an Associate Editor of IEEE Trans. Communications (since 2014) and the Subject Editor of Scientia Iranica (since 2017).

Tuna Tugcu
Bogazici University, Turkey
Tuna Tugcu received his BS and PhD degrees in Computer Engineering from Bogazici University in 1993 and 2001, respectively, MS degree in Computer and Information Science from New Jersey Institute of Technology in 1994. He was a post-doctoral fellow in Broadband and Wireless Networking Lab at Georgia Institute of Technology. Later, he also worked as a visiting professor for two years at Georgia Institute of Technology. Dr. Tugcu is currently a professor and the chairperson of the Department of Computer Engineering at Bogazici University. His research interests include nanonetworking, molecular communications, wireless networks, and internet of things. Prof. Tugcu has served in the North Atlantic Treaty Organization science and technology groups and the IEEE standards groups.

Haris Vikalo
The University of Texas at Austin
Haris Vikalo received the B.S. degree from the University of Zagreb, Croatia, in 1995, the M.S. degree from Lehigh University in 1997, and the Ph.D. degree from Stanford University in 2003, all in electrical engineering. He held a short-term appointment at Bell Laboratories, Murray Hill, NJ, in the summer of 1999. From January 2003 to July 2003 he was a Postdoctoral Researcher, and from July 2003 to August 2007 he was an Associate Scientist at the California Institute of Technology. Since September 2007, he has been with the Department of Electrical and Computer Engineering, the University of Texas at Austin, where he is currently an Associate Professor. He is a recipient of the 2009 National Science Foundation Career Award. His research interests include bioinformatics, communications, signal processing and machine learning.

Nan Yang
Australian National University, Australia
Nan Yang received the B.S. degree in electronics from China Agricultural University in 2005, and the M.S. and Ph.D. degrees in electronic engineering from the Beijing Institute of Technology in 2007 and 2011, respectively. He has been with the Research School of Electrical, Energy, and Materials Engineering at the Australian National University since July 2014, where he currently works as a Senior Lecturer. He is currently serving in the Editorial Board of the IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, and Transactions on Emerging Telecommunications Technologies. He received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2014 and the Best Paper Awards from the IEEE GlobeCOM 2016 and the IEEE VTC 2013-Spring. He also received the Top Editor Award from the Transactions on Emerging Telecommunications Technologies in 2017, the Exemplary Reviewer Award of the IEEE Transactions on Communications in 2018, 2016, and 2015, the Top Reviewer Award from the IEEE Transactions on Vehicular Technology in 2015,  and the Exemplary Reviewer Award of the IEEE Wireless Communications Letters in 2014, and the Exemplary Reviewer Award of the IEEE Communications Letters in 2013 and 2012. His general research interests include wireless communications and nano-scale communications.