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IEEE ComSoc Asia-Pacific Region Newsletter No. 56, December 2019

Saewoong Bahk

No. 56, December 2019

Website: www.comsoc.org/~apb

Edited by Y.-W. Peter Hong, Hiroshi Shigeno, Mianxiong Dong, and Liqun Fu

First, I’d like to briefly report AP Regional Chapter Chairs Congress

(RCCC) that was held last May in Shanghai. The congress was held in

coordination with the IEEE ComSoc Sister and Related Societies Summit,

and co-located with IEEE ICC 2019. It was one Full day conference, held

just before the main ICC conference. There were 28 attendees including 14

chapter chairs. Dr. Sumei Sun, APB vice director, served as program chair

and I served as general chair. Prof. Wei Zhang and Prof. Tomoaki Ohtsuki,

APB vice director, served as session chairs. President Khaled Letaief and

President-elect Vincent Chan gave a speech. Vice president Nei Kato

introduced member and global activities of ComSoc. Dr. Ashutosh Dutta

presented the materials about ComSoc summit framework and future network initiative. Mr. Adam

Greenberg talked about technical activities and industry outreach. Then five APB committee chairs gave a

presentation about each committee’s activities, followed by the presentation from Harbin chapter chair, Prof.

Weixiao Meng. Harbin chapter was the winner of the chapter achievement award (CAA) in 2018. Each

chapter chair has a slot for introducing the activities. The congress was so fruitful since we were able to

exchange and share each one’s experiences throughout the conference.

Second, I’d like to thank the team of IEEE Communication Society (ComSoc) Asia Pacific Board (APB)

in the term 2018-2019. The AP region is the most promising and dynamic region in terms of number of

members and activities. Following the good tradition, the APB team has put great efforts to expand the

perceived activities for everyone, which include technical work, membership development, information

services, meetings and conferences, and chapter coordination. I would like to express my sincere thanks to

all the AP Chapter Chairs and APB officers below.

Table of Contents

Message from the Asia-Pacific Board Director ......... 1

Trending Topics in the Eyes of Vice Director ........... 3

2019 IEEE ComSoc APB Awards Announcement .... 6

Interview of Best/Outstanding Young Researchers ..11

Report on DLTs/DSPs in the AP Region ..................19

Table of Contents

What’s Up on the Asia-Pacific Board? ..................... 24

Upcoming Conferences ............................................ 25

Asia-Pacific Region Officers 2018-2019.................. 26

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Vice Director Wei Zhang (University of New South Wales, Australia)

Vice Director Sumei Sun (Institute for Infocomm Research, Singapore)

Vice Director Tomoaki Ohtsuki (Keio University, Japan)

Secretary and Treasurer Jemin Lee (DGIST, Korea)

TAC co-Chairs Sunghyun Choi (Seoul National University, Korea)

Hung-Yun Hsieh (National Taiwan University, Taiwan)

MCC Chair Meixia Tao (Shanghai Jiaotong University, China)

ISC co-Chairs Yao-Win Peter Hong (National Tsing Hua University, Taiwan)

Hiroshi Shigeno (Keio University, Japan)

MDC co-Chairs Byonghyo Shim (Seoul National University, Korea)

Neelesh Mehta (IIS, India)

CCC co-Chairs Youngchul Sung (KAIST, Korea)

Itisa Misra (Jadavpur University, India)

Also, I’d like to thank Ms. Carol Cronin, Administrator of ComSoc, who helped our activities,

including DLT/DSP approval process, AP newsletter distribution, and AP RCCC. I enjoyed working with all

of you very much and will do my best to provide better ComSoc services in the AP region continuously.

I wish you the best of luck and thank you very much!

Saewoong Bahk

IEEE ComSoc APB Director, 2018-2019

Professor at ECE, Seoul National University, Korea

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Smart Healthcare Tomoaki Ohtsuki

Keio University, Japan

Smart healthcare is a concept for an advanced healthcare. For smart

healthcare, we expect improved healthcare services based on ICT

(Information and Communications Technology), where the information

obtained by sensors are exploited, such as on-body (wearable) sensors,

contactless sensors, ambient sensors, and so on. Using the sensor, we can get

even vital data, such as, heart rate, so that we can know not only physical

condition but also mental condition in more detail. Smart healthcare can

remove barriers of costs, distance, and so on, to receive/offer good medical

services. Smart healthcare is also expected in assisted living for elderly

people. For instance, Japan is known as the rapid aging society, “super-aging society”. According to the

Statics, the ratio of people aged 65 years or over to the total population reached 28.4% in 2019. Naturally,

social costs for nursing care and medical expenses will rise. In addition, the number of elderly people living

alone is increasing as well. Smart healthcare is expected to support the super aging society where people can

live healthy and peacefully, while reducing the costs for support dramatically.

To realize such a society, smart technologies are needed. Smart sensor is one of the smart technologies

where it is expected to collect information about people and environments while keeping privacy. For

instance, monitoring people living alone is a crucial issue where the use of camera is usually not allowed or

preferred. There are various sensors developed with satisfying privacy constraints. In the following we

introduce the noncontact heart rate detection method using Doppler sensor and the activity recognition

method using low-resolution thermopile sensor arrays.

Non-contact Heart Rate Estimation using Doppler Sensor

Fig. 1 shows the system model of non-contact heart rate estimation using Doppler sensor. When the

microwaves transmitted by the transmitter Tx are reflected by a subject’s chest, the transmitted microwaves

are Doppler-shifted. The reflected microwaves are then received by the receiver Rx. The received signal is

subsequently down-converted into the baseband signal in which the variation due to heartbeats are included.

Since the variation due to heartbeats is small, its detection can be easily hindered by noise, such as body

motion. Many techniques have been proposed for the detection of heartbeats in the presence of noises [1]-[5].

In addition to heartbeats, other vital signals can be detected using Doppler sensor, such as respiration and

blink [6].

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Activity Recognition using Low-Resolution Thermopile Sensor Arrays

The low-resolution thermopile sensor array has m x n infrared detectors (or pixels) inside. It obtains a

two-dimensional temperature distribution. This kind of sensor is typically used for high performance home

appliances (microwave oven and air conditioner), digital signage, automatic door, and so on. The activity

recognition system using low-resolution thermopile sensor arrays installs the sensor on a ceiling and/or other

places. Fig. 2 shows the examples of a temperature distribution image of a standing person obtained by the

infrared array sensor with 8 x 8 pixels installed on the ceiling. Different from images obtained by cameras,

due to the low-resolution of sensor, we cannot distinguish individuals nor get much information about them.

Thus, we can keep privacy, though it makes difficult to detect activity. The other advantage of the sensor is

that it can detect a person even in darkness by detecting infrared rays. The system extracts several features

from the temperature distribution data and then classifies activities based on those features with high

accuracy [7]. It can also localize people easily.

Fig. 1. A system model of non-contact heart rate estimation using Doppler sensor

Fig. 2. A temperature distribution image of a standing person obtained by the infrared

array sensor with 8 x 8 pixels installed on the ceiling.

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References

[1] A. Tariq and H. Shiraz, “Doppler radar vital signs monitoring using wavelet transform,” in Proc.

Antennas Propagation Conference, pp. 293-296, Nov. 2010.

[2] J. Tu and J. Lin, “Fast acquisition of heart rate in noncontact vital sign radar measurement using

time-window-variation technique,” IEEE Trans. Instrumentation and Measurement, vol. 65, pp. 112-122,

Jan. 2016.

[3] K. Yamamoto, K. Toyoda, and T. Ohtsuki, “Spectrogram-based Non-contact RRI Estimation by

Accurate Peak Detection Algorithm," IEEE Access, Vol. 6, pp. 60369 - 60379, 2018.

[4] C. Ye, K. Toyoda, and T. Ohtsuki, “A Stochastic Gradient Approach for Robust Heartbeat Detection

with Doppler Radar Using Time-Window-Variation Technique,” IEEE Trans. on Biomedical

Engineering (TBME), Vol. 66, Issue 6, pp. 1730--1741, June 2019.

[5] C. Ye, K. Toyoda, and T. Ohtsuki, “Blind Source Separation on Non-contact Heartbeat Detection by

Non-negative Matrix Factorization Algorithms," IEEE Trans. on Biomedical Engineering (TBME),

Online First, pp. 1-13, May 2019. doi: 10.1109/TBME.2019.2915762

[6] K. Yamamoto, K. Toyoda, and T. Ohtsuki, “Doppler Sensor-based Blink Duration Estimation by

Analysis of Eyelids Closing and Opening Behavior on Spectrogram,” IEEE Access, Vol. 7, No. 1, pp.

2169-3536, Dec. 2018.

[7] S. Mashiyama, J. Hong, and T. Ohtsuki, “Activity Recognition Using Low Resolution Infrared Array

Sensor," IEEE International Conference on Communications (ICC'2015), pp. 495-500, London, UK,

June 2015.

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IEEE ComSoc Asia-Pacific Young Researcher Award

This award honors young researchers who have been active in IEEE ComSoc publications and conference

activities over the last three years (January 2016 to December 2018).

Eligibility

The upper age limit for the applicant is 35 (i.e., the applicant must be born on or after 1983/01/01).

The applicant must be a member of the IEEE ComSoc Asia-Pacific region.

The "IEEE ComSoc Asia-Pacific Best Young Researcher Award" will be given to the best candidate,

and other candidates will be considered for the "Outstanding Young Researcher Award(s)".

Award Prize

The recipient of "IEEE ComSoc Asia-Pacific Best Young Researcher Award" will receive a

certificate and an honorarium of US $500.

Each recipient of the "IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award" will

receive a certificate and an honorarium of US $250.

Young Researcher Award Winners for Year 2019:

Best Young Researcher Award

Haijun Zhang (University of Science and Technology Beijing, China)

for contributions to research on radio resource management in ultra-dense and heterogeneous

networks

Outstanding Young Researcher Awards

Suzhi Bi (Shenzhen University, China)

for contribution to research on wireless powered communication networks

Guoru Ding (Southeast University, China)

for contribution to research on cognitive radio networks

Ruisi He (Beijing Jiaotong University, China)

for contribution to research on measurement and modeling of wireless channels

Jie Xu (Guangdong University of Technology, China)

for contribution to research on wireless power transfer

Haibo Zhou (Nanjing University, China)

for contribution to research on dynamic spectrum sharing in vehicular networks

Zhenyu Zhou (North China Electric Power University, China)

for contribution to research on energy management in wireless networks

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List of Winners of IEEE ComSoc Asia Pacific Young Researcher Awards (2001-2018)

Year Best Young Researcher Outstanding Young Researchers

2001 (1st) Dr. Byoung-Hoon Kim Dr. Wen-Jyi Hwang

Dr. Eiji Oki

Dr. Tomoaki Otsuki

Dr. Shiann-Tsong Sheu

2005 (2nd

) Dr. Qian Zhang Dr. Ki-Dong Lee

Dr. Jia-Chin Lin

Dr. Naoki Wakamiya

2007 (3rd

) Dr. Phone Lin Dr. W. Choi

Dr. H. Harai

Dr. H. F. Lu

2009 (4th

) Dr. Tarik Taleb Dr. Sangheon Pack

Dr. Wei Zhang

Dr. Xinbing Wang

Dr. Meixia Huang

Dr. Jianwei Huang

2010 (5th

) Dr. Wei Chen Dr. Y.-W. Peter Hong

Dr. Bang Chul Jung

Dr. Ting See Ho

2011 (6th

) Dr. Rui Zhang Dr. Himal Asanga Suraweera

Dr. Chee Wei Tan

Dr. Wenyi Zhang

Dr. Shinya Sugiura

Dr. Jiming Chen

2012 (7th

) Dr. Dusit Niyato Dr. Chi Zhang

Dr. Lingyang Song

Dr. Chau Yuen

Dr. Chan Byoung Chae

Dr. Sudip Misra

2013 (8th

) Dr. Mathew McKay Dr. Feifei Gao

Dr. Kyoung-Jae Lee

Dr. Rongxing Lu

Dr. Hiroki Nishiyama

Dr. Caijun Zhong

2014 (9th

) Dr. Yulong Zou Dr. Nan Yang

Dr. Haojin Zhu

Dr. Kaishun Wu

Dr. Jemin Lee

Dr. Mugen Peng

2015 (10th

) Dr. Mo Li Dr. Tsung-Hui Chang

Dr. Xiang Cheng

Dr. Lingjie Duan

Dr. Zubair Fadlullah

Dr. Shibo He

2016 (11th

) Dr. Jun Zhang Dr. Lin Gao

Dr. Namyoon Lee

Dr. Yong Li

Dr. Qian Wang

Dr. Guanding Yu

2017 (12th

) Dr. Xiangyun (Sean) Zhou Dr. Xu Chen

Dr. Junil Choi

Dr. Linglong Dai

Dr. Mianxiong Dong

Dr. Jiajia Liu Dr. Sheng Zhou

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2018 (13th

) Dr. Hui-Ming Wang Dr. Kaigui Bian

Dr. Peng Cheng

Dr. Kaoru Ota

Dr. Yuan Shen

Dr. Yong Zeng

Dr. Nan Zhao

IEEE ComSoc Asia-Pacific Outstanding Paper Award

This award honors outstanding original papers authored by members in the Asia-Pacific region and published

in IEEE ComSoc journals and conferences over the last three years (January 2016 to December 2018).

Eligibility

The paper must be published in IEEE ComSoc journals, magazines, conference proceedings, and so

on (including those technically co-sponsored by ComSoc) in the last three years (January 2016 to

December 2018).

All authors' affiliations must be from the Asia-Pacific region at the time of publication.

The paper should be nominated by an IEEE ComSoc member from the Asia-Pacific region.

Self-nomination is not accepted.

Remark: A list of IEEE ComSoc journals and conference portfolio events can be found at:

http://www.comsoc.org/publications/journals and http://www.comsoc.org/conferences/portfolio-events

Award Prize

Plaque and honorarium up to US $500 (award total).

Outstanding Paper Award Winners for Year 2019:

Title: Analysis on Cache‐Enabled Wireless Heterogeneous Networks

Authors: Chenchen Yang, Yao Yao, Zhiyong Chen, and Bin Xia

Source: IEEE Transactions on Wireless Communications, vol. 15, no. 1, pp. 131‐145, Jan. 2016.

Title: Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

Authors: Changsheng You, Kaibin Huang, Hyukjin Chae, and Byoung-Hoon Kim

Source: IEEE Trans. Wireless Commun., vol. 16, no. 3, pp. 1397-1411, Mar. 2017.

Title: On the Outage Probability of Device-to-Device Communication Enabled Multi-Channel

Cellular Networks: A RSS Threshold-Based Perspective

Authors: Jiajia Liu, Hiroki Nishiyama, Nei Kato, and Jun Guo

Source: IEEE Journal on Selected Areas in Communications, vol. 34, no. 1, pp. 163-175, Jan. 2016.

http://www.comsoc.org/publications/journals

http://www.comsoc.org/conferences/portfolio-events

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List of Winners of IEEE ComSoc Asia Pacific Outstanding Paper Awards (2012-2018)

Year Outstanding Papers

2012 (1st) Title: Eigenvalue-based Spectrum Sensing Algorithms for Cognitive Radio

Authors: Yonghong Zeng and Ying-Chang Liang`

Source: IEEE Transactions on Communications, vol. 57, no. 6, pp.1784-1793, June 2009

2013 (2nd

) Title: Distance-adaptive Spectrum Resource Allocation in Spectrum-sliced Elastic Optical

Path Network

Authors: Masahiko Jinno, Bartlomiej Kozicki, Hidehiko Takara, Atsushi Watanabe, Yoshiaki

Sone, Takafumi Tanaka, and Akira Hiran

Source: IEEE Communications Magazine, vol. 48, no. 8, pp.138–145, Aug. 2010

Title: Joint Optimization for One and Two-way MIMO AF Multiple-relay Systems

Authors: Kyoung-Jae Lee, Hakjea Sung, Eunsung Park, and Inkyu Lee

Source: IEEE Transactions on Wireless Communications, vol. 9, no. 12, pp. 3671–3681,

Dec. 2010.

Title: Cell Zooming for Cost-Efficient Green Cellular Networks

Authors: Zhisheng Niu, Yiqun Wu, Jie Gong, and Zexi Yang

Source: IEEE Communications Magazine, Vol. 48, no. 11, pp. 74–79, Nov. 2010.

2014 (3rd

) Title: Toward Ubiquitous Massive Accesses in 3GPP Machine-to-Machine Communication

Authors: Shao-Yu Lien, Kwang-Cheng Chen, Yonghua Lin

Source: IEEE Communications Magazine, vol. 49, no. 4, pp. 66-74, Apr. 2011

Title: Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefinite

Programming

Authors: Ying Jun (Angela) Zhang and Anthony Man-Cho So

Source: IEEE Journal on Selected Areas in Communications, vol. 29, no. 2, pp. 362-372,

Feb. 2011

Title: Delay and Capacity Tradeoff Analysis for MotionCast

Authors: Xinbing Wang, Wentao Huang, Shangxing Wang, Jinbei Zhang, Chenhui Huj

Source: IEEE Transactions on Networking, Vol. 19, No. 5, pp. 1354-1367, Mar. 2011

2015 (4th

) Title: Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and

Deployment

Authors: Kaibin Huang and Vincent K. N. Lau

Source: IEEE Transactions on Wireless Communications, vol. 13, no. 2, pp. 902-912, Feb.

2014

Title: Modeling and Analysis for Spectrum Handoffs in Cognitive Radio Networks

Authors: Li-Chun Wang, Chung-Wei Wang, and Chung-Ju Chang

Source: IEEE Transactions on Mobile Computing, vol. 11, no. 9, pp. 1499-1513, Sept. 2012

2016 (5 th

) Title: Wireless information and power transfer: Architecture design and rate-energy tradeoff

Authors: Xun Zhou, Rui Zhang, and Chin Keong Ho

Source: IEEE Transactions on Communications, Volume: 61, Issue: 11, Nov. 2013

Title: Relaying protocols for wireless energy harvesting and information processing

Authors: Ali A. Nasir, Xiangyun Zhou, Salman Durrani, and Rodney A. Kennedy.

Source: IEEE Transactions on Wireless Communications, Volume: 12, Issue: 7, Jul. 2013

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2017 (6th

)

Title: Relay-by-smartphone: realizing multihop device-to-device communications

Authors: Hiroki Nishiyama, Masaya Ito, and Nei Kato

Source: IEEE Communications Magazine, Volume: 52, Issue: 4, April 2014

Title: Hybrid Full-/Half-duplex System Analysis in Heterogeneous Wireless Networks

Authors: Jemin Lee and Tony Q. S. Quek

Source: IEEE Transactions on Wireless Communications, Volume: 14, Issue: 5, May 2015

2018 (7 th

) Title: Nonorthogonal Multiple Access for 5G: Solutions, Challenges, Opportunities, and

Future Research Trends

Authors: Linglong Dai, Bichai Wang, Yifei Yuan, Shuangfeng Han, Chih-Lin I, and

Zhaocheng Wang

Source: IEEE Communications Magazine, vol. 53, no. 9, pp. 74-81, Sept. 2015.

Title: Gathering Optimization by Dynamic Sensing and Routing in Rechargeable Sensor

Networks

Authors: Yongmin Zhang, Shibo He, and Jiming Chen

Source: IEEE/ACM Transactions on Networking, vol. 24, no. 3, pp. 1632-1646, 2016.

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Best Young Researcher Award Winner

Haijun Zhang (University of Science and Technology Beijing, China)

Haijun Zhang (M'13-SM'17) is currently a Full Professor in Department of

Communications Engineering, University of Science and Technology Beijing

(USTB), China. From 2014 to 2016, he was a Postdoctoral Research Fellow in

Department of Electrical and Computer Engineering, the University of British

Columbia (UBC), Canada. He received his Ph.D. degree in Beijing University of

Posts Telecommunications (BUPT) in 2013. From 2016, he joined USTB as a Full

Professor.

Dr. Zhang’s research interests span a wide range of topics in wireless

communications, including radio resource management in ultra-dense networks and heterogeneous small cells

networks. He has published 50+ IEEE Journal papers. He is now serving as an editor of IEEE Transactions on

Communications, IEEE Transactions on Green Communications and Networking, and IEEE Communications

Letters. He serves/served as Symposium Chair of Globecom'19 and IWCMC’18, Track Chair of WCNC’20,

General Co-Chair of GameNets'16, TPC Co-Chair of INFOCOM'18 IECCO Workshop. He received the IEEE

ComSoc Young Author Best Paper Award in 2017 and IEEE ComSoc CSIM TC Best Journal Paper Award in

2018, URSI Young Scientist Award in 2018. He received the National Science Fund for Outstanding Young

Scholars in 2018.

1. Please briefly introduce the most significant work you have contributed to the research fields?

Over the last three years, we have been carrying out a wide range of research topics in wireless

communications, including resource optimization and mobility management in ultra dense networks and

heterogeneous small cell networks. Resource optimization is very important to enhance the spectral efficiency

and energy efficiency in ultra dense networks. We proposed iterative gradient user association and power

allocation schemes in ultra dense networks. In addition, due to the diversity of 5G application scenarios, new

mobility management schemes are greatly needed to guarantee seamless handover in network-slicing-based

5G systems. We proposed joint power and subchannel allocation mechanism for network-slicing-based

spectrum-sharing two-tier heterogeneous small cell networks.

2. Where do you see your research heading in the next 2 years?

The growth of global devices and connections leads to higher user demands on future mobile networks.

Under the condition of limited spectrum resources, traditional mobile networks can no longer meet the service

needs of more terminals, so we will continue to study radio resource management in 6G mobile

communications and Terahertz high speed communications. And due to the emergence of new mobile

communication application scenarios such as virtual reality and smart city, the future mobile network based on

AI has become a promising development direction. In the next few years, we will try to develop both the theory

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and algorithms of resource allocation and mobility management in future mobile networks based on AI, to

contribute to future wireless network planning and optimization problems.

Outstanding Young Researcher Award Winner

Suzhi Bi (Shenzhen University, China)

Suzhi Bi (S'10–M'14- SM’19) is currently an Associate Professor with the

College of Electronic and Information Engineering at Shenzhen University, China.

He received the B. Eng. degree in Communications Engineering from the Chu

Kochen Honors College at Zhejiang University, China, in 2009, and the Ph.D. degree

in Information Engineering from The Chinese University of Hong Kong in 2013.

From 2013 to 2015, he was a post-doctoral research fellow at the Department of

Electrical and Computer Engineering, National University of Singapore. He was a

Research Engineer intern with the Institute for Infocomm Research, Singapore, in

2010, and a visiting student at the Department of Electrical Engineering, Princeton University, USA, in 2012.

His research interests mainly involve in the performance analysis and optimizations in energy-efficient

communication networks, wireless power transfer, mobile computing, and smart power grid communications.

Dr. Bi has authored over 60 top-tier journal and conference papers, including 5 ESI highly cited papers and 1

hot paper, and received close to 2000 Google Scholar citations. He was a recipient of the IEEE

SmartGridComm 2013 Best Paper Award, received two times the Shenzhen University Outstanding Young

Faculty Award in 2015 and 2018, and the "Pearl River Young Scholar" award by the Department of Education

of Guangdong Province in 2018. He served as an Associate Editor of IEEE Access (2016-2019), the TPC chair

of IEEE Globecom 2019 Selected Areas in Communications: Smart Grid Communications, TPC Co-chair of

IEEE ICCS 2018 Special Session on Massive Data Processing in 5G Wireless Networks, and TPC Co-chair of

MLICOM 2018 Green Communications Symposium.

1. Please briefly introduce the most significant work you have contributed to the research field?

Limited battery capacity and low computing capability are two fundamental performance bottlenecks of

size-constrained Internet of Things (IoT) wireless devices to handle complex tasks. Our recent works on

wireless powered edge computing systems showed that a seamless integration of wireless power transfer and

edge computing technologies can effectively tackle the problems. To achieve maximum computation

performance, our major technical focus was on solving the combinatorial user binary offloading decisions

and the coupling resource allocation problem under multi-user scenarios. We first proposed a scalable

decomposition-based mixed integer optimization algorithm, and further designed a novel Deep

Reinforcement learning-based Online Offloading (DROO) data analytic framework that can achieve

near-optimal performance and fast online implementation under fading channels. Interestingly, the proposed

approaches are found effective in solving a class of mixed integer optimization problems that are widely

encountered in wireless communication systems.

2. Where do you see your research headings in the next 2 years?

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An edge computing system includes a mixture of communication, computation, and storage resources.

To handle stochastic workloads, dynamic resource allocation is a key performance-enhancing technique, yet

difficult to implement in practice due to the unknown modeling errors and the time-consuming calculation of

optimization algorithms. In light of the seemly inevitable tradeoffs between the optimization objective and

implementation complexity, on one hand, I am interested in finding the theoretical performance limits of

edge computing systems to capture the interplays between different edge resources. On the other hand,

encouraged by the recent advances in data analytic techniques, I am motivated to design online resource

allocation methods that rely on minimum model knowledge, aiming to achieve both excellent system

performance and fast calculation in dynamic environments.

Outstanding Young Researcher Award Winner

Guoru Ding (Army Engineering University & Southeast University, China)

Guoru Ding received the B.S. (Hons.) degree in electrical engineering

from Xidian University, Xi’an, China, in 2008, and the Ph.D. (Hons.) degree in

communications and information systems from the College of Communications

Engineering, Nanjing, China, in 2014. From 2015 to 2019, he was a

Post-Doctoral Research Associate with the National Mobile Communications

Research Laboratory, Southeast University, Nanjing. He is now with the College

of Communications Engineering, Army Engineering University as an Associate

Professor of the National High Frequency Communications Research Center of

China. His research interests include cognitive radio, cognitive internet of

things, UAV communications, and spectrum data analytics over wireless networks.

Dr. Ding has served as a Guest Editor for the IEEE Journal on Selected Areas in Communications

(special issue on Spectrum Sharing and Aggregation for Future Wireless Networks) and an Editor for the

Journal of Communications and Information Networks. He is currently an Editor of the IEEE Transactions on

Cognitive Communications and Networking. He received the Best Doctoral Thesis Award of the China

Institute of Communications in 2016, the Alexander von Humboldt Fellowship in 2017, and the Excellent

Young Scientist of Wuwenjun Artificial Intelligence in 2018. He was also a recipient of several Best Paper

Awards from IEEE WCSP 2009, IEEE VTC 2014-FALL, and IEEE WCSP 2018, etc.


Drones, also known as mini-unmanned aerial vehicles, have attracted increasing attention due to their

boundless applications in communications, photography, agriculture, surveillance, and numerous public

services. However, the deployment of amateur drones poses various safety, security, and privacy threats. To

cope with these challenges, amateur drone surveillance has become a very important but largely unexplored

topic. We first propose a vision, named Dragnet, by tailoring the recently emerging Cognitive Internet of

Things framework for amateur drone surveillance. Next, we present the key enabling techniques for Dragnet in

detail, accompanied by the technical challenges and open issues. Furthermore, we provide an exemplary case

study on the detection and classification of authorized and unauthorized amateur drones. Also, we develop a

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robust spectrum sharing framework for air-ground integrated wireless communications, where the idea of

close-loop control is highlighted with cognitive internet of things-based amateur drone surveillance and

non-convex optimization-based wireless resource allocation as the key enabling techniques.


In the next couple of years, my research headings will focus on intelligent communications-enabled

Cognitive Internet of Things (CIoT). Current research on Internet of Things (IoT) mainly focuses on how to

enable general objects to see, hear, and smell the physical world for themselves, and make them connected to

share the observations. In this paper, we argue that only connected is not enough, beyond that, general objects

should have the capability to learn, think, and understand both physical and social worlds by themselves. This

practical need impels a new paradigm, named CIoT, to empower the current IoT with a “brain” for high-level

intelligence, for enabling the capability to bridge the physical world (with objects, resources, etc.) and the

social world (with human demand, social behavior, etc.), and enhance smart resource allocation, automatic

network operation, and intelligent service provisioning.

Outstanding Young Researcher Award Winner Ruisi He (Beijing Jiaotong University, China)

Ruisi He (S’11-M’13-SM’17) received the B.E. and Ph.D. degrees from Beijing

Jiaotong University (BJTU), Beijing, China, in 2009 and 2015, respectively. Since

2015, he has been with the State Key Laboratory of Rail Traffic Control and Safety,

BJTU, where he has been a Full Professor since 2018. Ruisi He has been a Visiting

Scholar in Georgia Institute of Technology, USA, University of Southern California,

USA, and Universite Catholique de Louvain, Belgium. His research interests include

measurement and modeling of wireless channels, machine learning and clustering

analysis in communications, vehicular and high-speed railway communications, 5G

massive MIMO and high frequency communication techniques.

Ruisi He is an Editor of the IEEE Transactions on Wireless Communications, the IEEE Antennas and

Propagation Magazine, and the IEEE Communications Letters. He serves as the Early Career Representative

(ECR) of Commission C, International Union of Radio Science (URSI). He received 2017-2019 Young Talent

Sponsorship Program of China Association for Science and Technology, the Second Prize of the Natural

Science Award for Scientific Research Achievements of the Ministry of Education in China in 2016, the Best

Ph.D. Thesis Award of Chinese Institute of Electronics in 2016, the URSI Young Scientist Award in 2015, and

five Best Paper Awards in conferences.


High-speed railway (HSR) is considered as one of the most sustainable developments for ground

transportation, where wireless communications play a key role. For HSR communication system design, a

scene partitioning standard is proposed by us for GSM-Railway (GSM-R) and LTE-Railway (LTE-R)

systems, which has been adopted by the RAILWAY INSTITUTES OF ENGINEERING in China. Based on

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450 MHz and 930 MHz channel measurements from a large number of HSR cells in eight typical HSR

scenarios, a series of large- and small-scale wireless channel models are developed by us, including path loss,

shadow fading distribution and correlation, and small-scale fading. Based on the proposed models, the link

budgets for GSM-R and LTE-R are conducted and the results are accepted by the STANDARD INSTITUTE

OF CHINA RAILWAY. The performances of GSM-R and LTE-R with high mobility are evaluated based on

measurements and simulations.


The future railway communications require higher data rate of reliable transmission, where higher

frequency, larger size of antenna array, and more bandwidths are needed. My future research interest is

motivated by the above background and focuses on measurements and modeling of multiple dimension

non-stationary channels with high mobility. I’m also interested in wireless channel modeling for 5G/6G

applications, e.g., in vehicle-to-everything, terrestrial-satellite, UAV, and IoT scenarios.

Outstanding Young Researcher Award Winner Jie Xu (Guangdong University of Technology, China)

Jie Xu (S’12–M’13) is currently a Professor with the School of Information

Engineering, Guangdong University of Technology, China. He received the B.E. and

Ph.D. degrees from the University of Science and Technology of China, in 2007 and

2012, respectively. From 2012 to 2014, he was a Research Fellow with the

Department of Electrical and Computer Engineering, National University of

Singapore. From 2015 to 2016, he was a Post-Doctoral Research Fellow of the

engineering systems and design pillar with the Singapore University of Technology

and Design. He has published over 90 IEEE journal and conference papers, which

have attracted more than 3300 Google Scholar citations.

Dr. Xu was a recipient of the 2017 IEEE Signal Processing Society Young Author Best Paper Award and

the IEEE/CIC ICCC 2019 Best Paper Award. He serves as the Symposium Co-Chair of the IEEE Globecom

2019 Wireless Communications Symposium, the Workshop Co-Chair of ICC 2018 and ICC 2019 Workshop

on UAV Communications, and the Tutorial Co-Chair of the IEEE/CIC ICCC 2019. He is serving or served as

an Editor for the IEEE Wireless Communications Letters and the Journal of Communications and Information

Networks, an Associate Editor for IEEE Access, and a Guest Editor for the IEEE Wireless Communications

and IEEE Journal on Selected Areas in Communications.


We propose a new unified design of mobile-edge computing (MEC) and wireless power transfer (WPT)

to provide massive low-power wireless devices with enhanced computation capability and sustainable energy

supply in Internet of Things (IoT) networks. In particular, we study a scenario when a multi-antenna access

point (AP) employs the transmit energy beamforming to wirelessly charge multiple devices, and each device

relies on the harvested energy to execute their respective computation tasks via local computing and/or task

16


offloading. We jointly optimize the AP’s transmit energy beamformer at the energy supply side, as well as the

devices’ communication and computation resource allocation at the energy demand side, for maximizing these

devices’ task execution performance, subject to their individual energy neutrality constraints. This work has

provided useful insights for realizing self-sustainable mobile computing networks.


Recently, mobile edge caching, computation, and learning have been recognized as emerging techniques,

which push various network functions (such as content caching, cloud computing and machine learning) to the

edge of wireless networks to enabled new applications (e.g., autonomous driving, virtual reality, and

augmented reality) with real-time machine-to-machine and machine-to-human interactions. The emergence of

mobile edge networks also imposes many new design challenges, which need to be dealt with from an

interdisciplinary perspective by exploiting techniques from wireless communications, computer science, and

control. My research focus in the next 2 years will be on the development of fundamental theory and practical

methods to address these new challenges in mobile edge networks.

Outstanding Young Researcher Award Winner Haibo Zhou (Nanjing University, China)

Haibo Zhou (M'14-SM'18) received the Ph.D. degree in Electrical

Engineering from Shanghai Jiao Tong University (SJTU), China, in 2014. He

worked as a Post-Doctoral Fellow and Senior Research Associate at University of

Waterloo, Ontario, Canada from Sept. 2014 to Sept. 2017, respectively. Since Nov.

2017, He has been an Associate Professor at Nanjing University (NJU), Nanjing,

China. His current research focuses on radio resource and mobility management,

medium access control, and network performance optimization in the field of

vehicular ad hoc networks.

Dr. Zhou was a recipient of the Thousand Talents Program for Young Professionals of China (2019),

High-level Innovation and Entrepreneurial Talent of Jiangsu Province of China (2019), Six-Top Talent of

Jiangsu Province of China (2019), High-level Innovation and Entrepreneurial Doctor of Jiangsu Province of

China (2018). His papers received the Best Paper of Journal of Communications and Information Networks

(2018), IEEE TCGCC Best Conference Paper Award (2017), Best Paper Award of WCSP (2015). He

currently serves an Associate Editor of IEEE Internet of Things Journal, IEEE Network Magazine, IEEE

Wireless Communications Letter. He also served as an Associate Editor of Journal of Communications and

Information Networks, Guest-Editor of IEEE Communications Magazine, Hindawi International Journal of

Distributed Sensor Networks, and IET Communications.


How to design low-latency, high-reliability dynamic vehicle access and intelligent switching methods is

the core technology and one of the biggest challenges for vehicle networking applications. We are the early

research team worldwide to establish the wide-coverage and high-capacity vehicle access model by leveraging

17


the TV White Space (TVWS) technology. Especially, we propose an adaptive vehicular data piping framework

for the joint utilization of three types of vehicular data pipes (DSRC, TVWS, and cellular) for the optimal

dynamic vehicular access. We design a log-sum-exp (LSE) approximation-based TVWS geolocation database

access approach and formulate the adaptive vehicular data piping problem for dynamic DSRC/TVWS

spectrum sharing as a coalitional formation game. Our proposed coalitional formation approach can reach the

optimal and Nash-stable vehicular data pipe selection partition in a distributed way.


To support the lately emerged demands from the mobility world, e.g., Intelligent Transportation Systems,

advanced driving, and autonomous vehicles, etc., conventional connected vehicles technologies are evolving

from Vehicle-to-Everything (V2X) communications to Internet of Vehicles (IoV). With the advent of big data,

my future research interest in the next two years lies in the fundamental theories and key technologies of big

data driven IoV. We will conduct researches in big data driven IoV modeling and performance evaluation. In

addition, we will design big data assisted vehicular communication protocols.

Outstanding Young Researcher Award Winner Zhenyu Zhou (North China Electric Power University, China)

Zhenyu Zhou (M'11-SM'17) received his M.E. and Ph.D degree from

Waseda University, Tokyo, Japan in 2008 and 2011 respectively. He is currently a

Full Professor at School of Electrical and Electronic Engineering, North China

Electric Power University, China. Since April 2019, he has been a full professor

at the same university. He served as an Associate Editor for IEEE Access,

EURASIP Journal on Wireless Communications and Networking and a Guest

Editor for IEEE Communications Magazine and Transactions on Emerging

Telecommunications Technologies.

He has published more than 40 IEEE Transaction, Journal, and Magazine Papers. He was the recipient

of the IET Premium Award in 2017, the IEEE ComSoc Green Communications and Computing Technical

Committee 2017 Best Paper Award, the IEEE Globecom 2018 Best Paper Award, the IEEE ComSoc Green

Communications and Computing Technical Committee 2018 Best Paper Award, IEEE ComSoc

Communications Systems Integration and Modeling (CSIM) Technical Committee 2019 Best Paper Award,

and IEEE International Wireless Communications and Mobile Computing Conference (IWCMC) 2019 Best

Paper Award. His research interests mainly focus on resource allocation in device-to-device (D2D)

communications, machine-to-machine (M2M) communications, smart grid communications, and Internet of

things (IoT). He is a senior member of IEEE, Chinese Institute of Electronics (CIE), and China Institute of

Communications (CIC).

1. Please briefly introduce the most significant work you have contributed to the research fields?

D2D/M2M communications are important technologies for the successful realization of Internet of

Things (IoT). I addressed the key problem of low energy efficiency in D2D networks with energy-constrained

18


devices via resource allocation. Then, I extended my work on D2D to M2M communications, and developed

several high reliability and low latency resource allocation schemes.


IoT will play a big role in Energy Internet due to its ubiquitous connectivity and autonomous data

exchange capability. However, QoS guaranteeing is always a significant concern in both academia and

industry. Due to the complicated communication environment in Energy Internet and the limited battery

capacity of IoT devices, conventional resource allocation schemes developed for 5G public networks may

not work well and it is urgent to investigate resource allocation in power IoT. We need to consider the

characteristics of channel, noise, and interference in power grid as well as the specific service requirement of

Energy Internet. In the next few years, I will cooperate with major power companies in China and

international scholars to tackle this challenge and validate our theory from the perspective of real-world

engineering applications.

19


In 2019, IEEE Communications Society has approved 16 Distinguished Lecturer Tours in the Asia

Pacific Region. We are excited for the success of those that have already taken place and also for those that

are coming up soon. We are on track to having another successful year of DLTs in the Asia-Pacific region.

The followings are the descriptions and reports of these DLTs.

2019 AP DLT#1: 10 – 16 March 2019, DL : Prof. Tony Q. S. Quek

2019 AP DLT#2: 15 – 24 April 2019, DL: Prof. Tony Q. S. Quek

2019 AP DLT #3: 9 – 17 March 2019, DL: Prof. Suresh Subramaniam

2019 AP DLT #4: 1 – 27 May 2019, DL: Prof. Octavia Dobre

2019 AP DLT #5: 14 – 24 March 2019, DL: Prof. Nirwan Ansari

2019 AP DLT #6: 11 – 21 June 2019

Distinguished Lecturer: Prof. Marco Di Renzo

Hosting Chapter 2019 Section / Chapter Chair

Shanghai Chapter Xinwan Li

Shenzhen Chapter Simon Pun

Chengdu Chapter Zheng Ma

Prof. Marco Di Renzo delivered a lecture series at the following locations:

1. Shanghai, China – 13 June 2019

Lecture Venue: Donghua University

2. Zhuhai, China – 16 March 2019

Lecture Venue: Jinan University

3. Chengdu, China – 19 March 2019

Lecture Venue: Chendu University

20


2019 AP DLT #7: 22 – 27 May 2019

Distinguished Lecturer: Dr. Roberto Saracco


Shangahi Chapter Xinwan Li

Prof. Roberto Saracco delivered a lecture series at the following locations:

1. Shanghai, China – 23 May 2019

Lecture Venue: Shanghai University

2. Shenzhen, China – 27 May 2019

Lecture Venue: Huawei Campus

2019 AP DLT #8: 20 – 31 July 2019

Distinguished Lecturer: Prof. Angela Yingjun Zhang


Tokyo Chapter Tomohiko Taniguchi

Kansai Chapter Takeshi Higashino

Prof. Angela Yingjun Zhang delivered a lecture series at the following locations:

1. Kyoto, Japan – 20 July 2019

Lecture Venue: Kyoto University

2. Osaka, Japan – 25 July 2019

Lecture Venue: Osaka Prefecture University

3. Tokyo, Japan – 29 July 2019

Lecture Venue: The University of Electro-Communications

2019 AP DLT #9: 23 – 30 November 2019

Distinguished Lecturer: Prof. Ranga Rao Prasad


New Zealand North/South/Central

Chapter

Nurul Sarkar

Prof. Tony Q. S. Quek a lecture series at the following locations:

1. Christchurch, New Zealand – 24 November 2019

Lecture Venue: The University of Canterbury, Christchurch

2. Wellington, New Zealand – 25 November 2019

Lecture Venue: Victoria University of Technology

3. Palmerston North, New Zealand – 26 November 2019

Lecture Venue: Massey University

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4. Auckland, New Zealand – 27, 28 November 2019

Lecture Venue: Auckland University of Technology

2019 AP DLT #10: 23 – 29 June 2019

Distinguished Lecturer: Prof. Tarik Taleb



Prof. Tarik Taleb delivered a lecture series at the following locations:

1. Tokyo, Japan – 24 June 2019

Lecture Venue: MEXT

2. Hakodate, Japan – 26 March 2019

Lecture Venue: Future University of Hakodate

2019 AP DLT #11: 26 – 30 May 2019

Distinguished Lecturer: Prof. Walid Saad


Xian Chapter Jiandong Li

Seoul Chapter Byounghyo Shim

Prof. Walid Saad delivered a lecture series at the following locations:

1. Wuhan, China – 26 May 2019

Lecture Venue: Huazhong University of Science and Technology

2. Xian, China – 28 March 2019

Lecture Venue: Xidian University

3. Suwon, Korea – 31 May 2019

Lecture Venue: Kyung Hee University

2019 AP DLT #12: 21 – 23 August 2019

Distinguished Lecturer: Prof. R. Venkatesha Prasad


India Chapter Preetam Kumar

Prof. R. Venkatesha Prasad delivered a lecture series at the following locations:

1. Patan, India – 22 August 2019

Lecture Venue: Indian Institute of Technology, Patna

2. Patan, India – 23 August 2019

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Lecture Venue: National Institute of Technology, Patna

3. Varanasi, India – 24 August 2019

Lecture Venue: Indian Institute of Technology-BHU Varanasi

2019 AP DLT #13: June 20 – 4 July 2019

Distinguished Lecturer: Prof. Shui Yu


Beijing Chapter Xiaofeng Tao

Chengdu Chapter Zheng Ma

Prof. Shui Yu delivered a lecture series at the following locations:

1. Chengdu – 1 July 2019

Lecture Venue: University of Electronic Science and Technology of China

2. Chengdu – 2 July 2019

Lecture Venue: Sichuan University

3. Beijing – 5 July 2019

Lecture Venue: Beijing University of Post and Telecommunication


Lecture Venue: Beijing University of Aeronautics and Astronautics


Lecture Venue: North China University of Technology

2019 AP DLT #14: 6 – 14 August 2019

Distinguished Lecturer: Prof. Tony Q. S. Quek


Taipei Chapter Rung-Hung Gau

Tainan Chapter Wern-Ho Sheen

Macau Chapter Shaodan Ma

Prof. Tony Q. S. Quek delivered a lecture series at the following locations:

1. Hsinchu – 6 August 2019

Lecture Venue: National Chiao-Tung University

2. Hsinchu – 7 August 2019

Lecture Venue: National Tsing Hua University

3. Tainan – 8 August 2019

Lecture Venue: National Cheng Kung University

4. Taipei – 9 August 2019

Lecture Venue: National Taiwan University

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5. Macau – 14 August 2019

Lecture Venue: University of Macau

2019 AP DLT #15: 17 – 24 November 2019

Distinguished Lecturer: Prof. Suresh Subramaniam



Kansai Chapter Kazuo Kumamoto

Seoul Chapter Byonghyo Shim

Prof. Suresh Subramaniam delivered a lecture series at the following locations:

1. Sapporo, Japan – 18 November 2019

Lecture Venue: Hokkaido University

2. Tokyo, Japan – 19 November 2019

Lecture Venue: Keio University

3. Seoul, Korea – 22 November 2019

Lecture Venue: Seoul National University

2019 AP DLT #16: 19 Dec. 2019 – 5 Jan. 2020

Distinguished Lecturer: Prof. Yingjun Angela Zhang


Singapore Chapter Sumei Sun

Macau Chapter Shaodan Ma

Beijing (Shenzhen) Chapter Simon Pun

Prof. Yingjun Angela Zhang will deliver a lecture series at the following locations:

1. Singapore

Lecture Venue: Singapore University of Technology and Design

2. Shenzhen, China

Lecture Venue: Shenzhen University

3. Macau

Lecture Venue: University of Macau

24


– APB Committee Reports

Technical Affairs Committee (TAC)

TAC is responsible for the selection of the APB Young Researcher Awards and the APB Outstanding Paper

Awards. This year, we received 27 applications for the APB Young Researcher Awards and 7 nominations for

the APB Outstanding Paper Awards. Out of them, the winners of 1 Best Young Researcher Award, 6

Outstanding Young Researcher Awards, and 3 APB Outstanding Paper Awards have been selected through

careful review and discussions. Please see section on “2019 IEEE ComSoc Asia-Pacific Board Awards

Announcement” for further details.

Meeting and Conference Committee (MCC)

MCC coordinates meeting and conference activities in the APB region. Please see “Upcoming Conferences”

for a list of upcoming conferences in the IEEE Communications Society.

Information Services Committee (ISC)

The main task of ISC is to publish semi-annual AP Newsletters for release during the IEEE ICC and

Globecom conferences, manage the APB homepage, manage the APB email broadcast to its members, and

liaise the contribution to the IEEE Global Communication Newsletter (GCN).

- For the AP Newsletter, in addition to conventional topics such as call for awards, DLT report, and

committee/local chapter activity report, ISC continues to look for new design ideas in terms of layout

and content to bring better awareness of the APB and improve bonding of members.

- For the APB homepage, after migrating to the new hosting site, ISC continues to improve the look,

content, and functionality of the APB homepage, such as the inclusion of information from sister

societies.

- For the email broadcast, ISC takes care of dissemination of call for papers/participation under approval

of AP Director, announcement of homepage and newsletter updates, approval of subscription requests,

and so on. ISC is currently looking to improve two-way interactions between the APB and its members.

Membership Development Committee (MDC)

The focus of the MDC is on promoting and furthering the interests of individual members worldwide to

increase member retention, renewal, recruitment, and recognition. The AP region currently has 8792 ComSoc

members, which constitutes 32.7% of the total IEEE ComSoc membership (26589 members). Of these, 8123

are higher grade members and 669 are student members. While the total ComSoc membership has remained

about the same, the AP region membership has increased by 4.4% over the past one year.

Chapter Coordination Committee (CCC)

Mission of CCC

- Plan and coordinate the Regional Chapter meeting once a year where possible

- Collaborate with the AP Office in running the DLT program

- Support the AP Office in organizing Executives' visit to Chapters

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- Collaborate with Sister Societies in the AP region.

News

In the past several years, we were very successful in accommodating all the above mission items. A good

number of Distinguished Lecture Tours and pilot program of technical presentation using the IEEE Internet

Conferencing Service have been organized in the AP Region. In this year, we have provided 16

Distinguished Lecture Tours in the AP region and organized the 2019 Asia Pacific Regional Chapters Chair

Congress (AP-RCCC) in conjunction with ICC 2019 in Sanghai.

Conference Name Conference Date City Country Paper Deadline

IEEE CCNC 2020 Jan. 10-13, 2020 Las Vegas USA closed

OFC 2020 Mar. 8-12, 2020 San Diego, CA USA closed

IEEE ISPLC Mar. 31-Apr. 3,

2020 Malaga Spain Dec. 1, 2019

IEEE WCNC 2020 Apr. 6-9, 2020 Seoul South

Korea closed

IEEE INFOCOM 2020 Apr. 27-30, 2020 Beijing China closed

IEEE ICBC 2020 May 3-6, 2020 Toronto Canada Dec. 2, 2019

IEEE CTW 2020 May 17-20, 2020 Banff Canada Feb. 24, 2020

IEEE ICC 2020 June 7-11, 2020 Dublin Ireland closed

IEEE SECON 2020 June 22-25, 2020 Como Italy Jan. 12, 2020

IEEE CNS 2020 June 29-Jul. 1,

2020 Avignon France Jan. 18, 2020

IEEE NETSOFT June 29-Jul. 3,

2020 Ghent Belgium Dec. 2, 2019

IEEE/CIC ICCC 2020 Aug. 9-11, 2020 Chongqing China April 30, 2020

(draft)

IEEE PIMRC 2020 Aug. 31-Sept.3,

2020 London UK March 20, 2020

IEEE SmartGridComm 2020 Oct. 6-8, 2020 Tempe USA TBD

APCC 2020 Oct. 12-14, 2020 Kuala Lumpur Malaysia May 31, 2020

IEEE GLOBECOM 2020 Dec. 7-11, 2020 Taipei City Taiwan April 15, 2020

26


Asia-Pacific Region Officers (2018 – 2019)

Director:

Saewoong Bahk

Past Director:

Takaya Yamazato

Vice Directors:

Tomoaki Ohtsuki

Sumei Sun

Wei Zhang

Secretary and Treasurer:

Jemin Lee

AP Office:

Ewell Tan

Munir Mohamned

ComSoc Liaison:

Hsiao-Hwa Chen

Nei Kato

Borhanuddin Mohd Ali

Technical Affairs Committee:

Chairs: Sunghyun Choi

Hung-Yun Hsieh

Vice Chairs: Lingyang Song

Tony Q.S. Quek

Meetings & Conferences Committee:

Chairs: Meixia Tao

Vice Chairs: Chan-Byoung Chae

Information Services Committee:

Chairs: Y.-W. Peter Hong

Hiroshi Shigeno

Vice Chairs: Mianxiong Dong

Liqun Fu

Membership Development Committee:

Chairs: Byonghyo Shim

Neelesh Mehta

Vice Chairs: Hsuan-Jung Su

Chapters Coordination Committee:

Chairs: Youngchul Sung

Iti Saha Misra

Vice Chairs: Sheng Zhou

Koji Yamamoto

Advisors:

Tomonori Aoyama (Keio University)

Kwang-Cheng Chen (National Taiwan University)

Daehyoung Hong (Sogang University)

Noriyoshi Kuroyanagi (Chubu University)

Byeong Gi Lee (Seoul National University)

Kwang Bok Lee (Seoul National University)

Lin-Shan Lee (National Taiwan University)

Wanjiun Liao (National Taiwan University)

Zhisheng Niu (Tsinghua University)

Naohisa Ohta (Keio University)

Iwao Sasase (Keio University)

Desmond Taylor (University of Canterbury)

Naoaki Yamanaka (Keio University)

Takaya Yaamazato (Nagoya University)

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