The 2018 International Symposium on Smart City and ... · Invited Speaker ：Prof. Valentina Emilia Balas, “Aurel Vlaicu” University of Arad, Romania Title：Brain-Inspired Nano

The 2018 International Symposium on

Smart City and Informatization ( iSCI 2018)

Guangzhou University, Guangzhou, China

Guangzhou University

October 6-9, 2018, Guangzhou, China

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A smart city uses digital technologies to improve performance and

productivity, to reduce costs and resource consumptions, and to engage more

effectively and actively with its citizens. It focuses on intelligent computing

and communication infrastructures with cutting–edge advances in artificial

intelligence, big data, and cloud computing. In order to make a city smart and

environmentally sustainable, informatization technologies play a key role in

leveraging IT systems and innovations. Efficient and effective

informatization ensures that a city and its citizens have high quality

information resources that are relied upon to create knowledge, enhance

understanding, and ultimately develop wisdom to fulfill its mission. There are

many components of information and communication technologies like the

Internet, telecommunications, and Geographical Information Systems (GIS),

which make a city to provide smart services both efficiently and

transparently.

The 2018 International Symposium on Smart City and Informatization

(iSCI 2018) aims to provide a unique platform for multi-disciplinary

researchers and teams, industry solution vendors, and government agencies to

exchange innovative ideas, challenges, research results and solutions, as well

as project experience reports and successful stories.

The 2018 International Symposium on Smart City and Informatization

（iSCI 2018） will be held in Guangdong Hotel, October 6-9, 2018, hosted

by Guangzhou University (http://trust.gzhu.edu.cn/). Experts and scholars

from educational organizations, scientific research institutions and

(The 2018 International Symposium on Smart City

and Informatization, iSCI 2018)

Summary of the Conference

http://trust.gzhu.edu.cn/

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well-known companies nationwide and overseas will be invited to attend this

workshop, to discuss the intelligent computing and communication

infrastructures with cutting–edge advances in artificial intelligence, big data,

and cloud computing. It will provide a communication platform for us to

demonstrate novel ideas and to learn from each other.

iSCI Conference web site：

http://www.smart-world.org/2018/iSCI/

http://www.smart-world.org/2018/iSCI/

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October 7, 2018 (Sunday)

Zhujiang Hall(珠江厅) on the third floor of Guangdong Hotel

8:30-8:40 Opening of the Conference

Guangzhou University, Guojun Wang

Chair: Muhammad

Arif

Guangzhou

University

8:40-9:15 Brain-Inspired Nano Architectures

Speaker: Valentina Emilia Balas, “Aurel Vlaicu” University of Arad, Romania

9:15-9:50 Fog computing and Industrial Internet of Things

Speaker: Ioan Ungurean, Stefan cel Mare University of Suceava, Romania

9:50-10:25

Visible Light Communication

Speaker: Avatamanitei Sebastian-Andrei, Stefan cel Mare University of Suceava,

Romania

10:25-10:45 Coffee/Tea Break

10:45-11:20 Building Healthcare Information Loop Using Deep Neural Networks

Speaker: Yinglong Dai, Hunan Normal University, China

Chair: Ioan

Ungurean

Stefan cel Mare

University

11:20-11:55

Fast Curvelet Transform through Genetic Algorithm for Multi -modal Medical

Image Fusion

Speaker: Muhammad Arif, Guangzhou University, China

11:55-12:30 Gait Recognition in Parkinson’s Disease using Wi-Fi S ignals

Speaker: Muhammad Faizan Khan, Guangzhou University, China

12:30-14:00 Lunch

14:00-14:35 Smart Energy Networks – Research Challenges and AI Applications

Speaker: Zhong Fan, Keele University, UK Chair: Md. Zakirul

Alam Bhuiyan

Fordham University 14:35-15:10

Cyber Security Threat Intelligence: Challenges and Research Opportunities

Speaker: Raymond Choo, The University of Texas at San Antonio, USA

15:10-15:45 Video Analytics: Coping with the Potential of Smart Cities

Speaker: Richard Hill, University of Huddersfield, UK



Conference Agenda (Invited Talks)

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October 7, 2018 (Sunday)


15:45-16:05 Tea Break

16:05-16:40

Fusion Trustworthiness in Cyber-Physical Systems: Focusing on Structural

Health Monitoring Applications

Speaker: Md. Zakirul Alam Bhuiyan, Fordham University, USA

Chair: Saqib Ali

Guangzhou

University

16:40-17:15

“Receipt-freeness” , “Coercion-resistance” and "Deniability" of Online

Authentication for Our Social Life IT-systems

Speaker: Kouichi Sakurai, Kyushu University, Japan

17:15-17:50 Quantum Computing Technology towards Applications

Speaker: Peter Muller, IBM Zurich Research Laboratory, Switzerland

17:50-18:25 Intelligent Collaboration of Air-Ground Vehicles for Smart Cities

Speaker: Peng Li, The University of Aizu, Japan

18:30 - 20:00 Dinner

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Conference Agenda (Invited Talks)

October 8, 2018 (Monday)


Session

iSCI-1:

8:30-10:00

Modeling Methods for Cloud Based Cyber Physical Systems

Lichen Zhang

Chair: Deze

Zeng

China

University of

Geosciences

A Privacy Preserving Outlier Detection Algorithm Based on Connected Domain

Zhaoyu Shou, Xiawei Cheng and Simin Li

Load Aware Management of Cloudlets for a Wireless Area Metropolitan Network

Xiaolong Xu, Md Zakirul Alam Bhuiyan, Lianyong Qi, Xuyun Zhang, Wanchun Dou

The Performance Evaluation Model of Intel SGX- Based Data Protection

Wei Zheng, Shichao Cao, Zhiqian Gao, Xiaoxue Wu and Qian Ding

Road Speed Fusion Model Based on Wavelet Neural Network Optimized by Genetic

Algorithm

Jiguo Liu, Rui Sun and Haitao Yu


Session

iSCI-2:

10:20-12:30

VJournaling: Improving the Write Performance of a Virtualized Journaling File

System

Dingding Li, Wande Chen, Zhengyang Wu, Hai Liu, Yong Tang

Chair:

Yinglong Dai

Hunan Normal

University

Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction

Md Zakirul Alam Bhuiyan, Hao Peng, Zhene Zou

An Academic Social Network Friend Recommendation Algorithm Based on

Decision Tree

Dingding Li, Zuoxi Yang, Ronghua Lin, Yong Tang

Repurchase Prediction for E-Commerce Based on Ensemble Learning

Danqi Xu, Wenyin Yang, Li Ma

Water Level Estimation Based on Image of Staff Gauge in Smart City

Zhikang Xu, Jing Feng, Zhizheng Zhang



Conference Agenda

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A Mokov Decision Process Approach to Optimizing Waiting for Taxis

Huigui Rong, Xu Dong Zhang, Qin Liu, Qiaoyue Yang, Jiewei Gu, Hui Zheng

Cost Efficient State-aware Function Placement and Flow Scheduling for

NFV Networks

Deze Zeng, Lin Gu, Yunsong Chen, Shengli Pan, Zhuzhong Qian

12:30-13:30 Lunch

October 8, 2018 (Monday)


Session

iSCI-3

13:30-15:30

A Low-rate DoS Attack Detection Method Based on Hilbert Spectrum and Correlation

Dan Tang, Xiaoxue Wu, Liu Tang, Jianping Man, Sijia Zhan

Chair: Debasis

Das

BITS Pilani K.

K. Birla, Goa

Campus

Speed Regulation of Overhead Catenary System Inspection Robot for

High-Speed Railway through Reinforcement Learning

Siqi Li, Cheng Xu, Lipei Chen, Zhenmin Liu

Accelerating a Secure Programmable Edge Network System for Smart Classroom

Watipatsa W. Nsunza, A-Q. Ransford Tetteh, Xiaojun Hei

Ubiquitous Healthcare System Based on the Sensor Network and Android Internet of

Things Gateway

Oana Geman, Iuliana Chiuchisan, Ioan Ungurean, Marius Hagan and Muhammad Arif

Using Data till 1996, 2008 and 2017 via Full-Traversal Addition-Subtraction Frequency

(ASF) Method with Consistent Analysis to Predict Possible M6.6-or-Above

Earthquakes in S ichuan-Yunnan Region of China

Yunong Zhang, Ruifeng Wang, Mengling Xiao, Jinjin Guo and Chengxu Ye

From Historical Data Through ASF Method of Equal-Type Half Traversal to

Predict USA Presidential Parties from 2021 to 2041

Yunong Zhang, Jiatu Wu, Ruifeng Wang, Chengxu Ye and Yingbiao Ling

Highway Traffic Volume Prediction via stacking KNN, SVR, MLP, RNN

Zhilong Lu, Weifeng Lv, Zhipu Xie and Tongyu Zhu


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October 9, 2018 (Tuesday)

Xijiang Hall(西江厅) on the third floor of Guangdong Hotel

Session

iSCI-4:

13:30-15:30

Aggregating Author Profiles from Multiple Publisher Networks to

Build Author Knowledge Graph

Karim Alinani, Guojun Wang, Annadil Alinani, Dua Hussain Narejo and Mumbere Muyisa

Forrest

Chair: Weimin

Li Shanghai

University

Personalized App Recommendation Method Based on Hierarchical Embedding

Dong Liu, Wenjun Jiang

Aspect-based Personalized Review Ranking

Wenjun Jiang, Chunli Huang

Understanding the Evolution of Fine-grained User Opinions in Product Reviews

Peike Xia, Wenjun Jiang

Resource Transaction Framework Based on Block Chain in Social Community

Ke Gu, Linyu Wang and Bo Yin

Power Curtailment in Cloud Environment Utilising Load Balancing Machine

Allocation

Amir Javadpour, Guojun Wang, Samira Rezaei, Shuhong Chen

Combining Fuzzy Clustering and PSO Algorithms to Optimise Energy Consumption in

WSN Networks

Amir Javadpour, Niusha Adelpour, Guojun Wang, Tao Peng


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Conference signing

Please sign in the lobby of Guangdong Hotel. Check- in time: 8:00 a.m. - 6:00 p.m. on

October 6, 2018. Please contact the meeting group directly from the arrival of the above

time.

Meeting accommodation arrangements

The accommodation of this meeting is Guangdong Hotel, located at 309 Dongfeng

Middle Road, Yuexiu District, Guangzhou. The accommodation room of this meeting is

arranged by the meeting group. If there are special requirements, please consult with the

meeting group.

Dinner

This meeting will provide a meeting for the participants to dine from October 6-9.

Among them, breakfast and Chinese food are buffet meals. Dinner is a table meal.

Meeting and ticketing

In principle, the meeting will not provide pickup/dropoff and ticketing services for

the participants. If you have any special requirements, please contact the meeting group.

Contact

Dr. Xiaofei Xing: Mobile:15920437073; EMAIL: [email protected].

Meeting Information

mailto:[email protected]

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Invited Talk by Professor Valentina Emilia Balas

of “Aurel Vlaicu” University of Arad

Time： 8:30-8:40, October 7, 2018 (Sunday)

Meeting Room：Zhujiang Hall(珠江厅) on the third floor of

Guangdong Hotel

In vited S p eaker ： Prof. Valentina Emilia Balas, “Aurel

Vlaicu” University of Arad, Romania

Title：Brain-Inspired Nano Architectures

Abstract： The lecture presents new research directions of our team

in the realm of Brain-Inspired Nano Architecture for integrated

circuits in order to achieve low power consumption and high reliability computing for the

devices of the future. Computers and brains differ significantly at all scales. Brains are

organized of neurons filled with salt water and different organic compounds, whereas

computer consists of metals and semiconductors. Neurons can communicate based on

electrochemical activity, whereas computers use electrical information “0” and “1”.

Neurons are organized in highly interconnected complex circuits, much more than any

electronic circuit used in computing. Our approach is dealing with the gated ion channels

which can be considered the nano-switches of the brain. This will allow us to analyze the

statistical behavior of arrays of such brain- inspired devices. Moore and Shannon

introduced a particular class of two-terminal networks, known as hammock networks.

These kinds of networks are potentially important to applications in nanoelectronics as

well as in biology. Taking inspiration from axon communication, which relies on ion

channels distributed on cylindrical structures, we introduce a generalization of the

classical hammock networks. We focus on evaluating reliability in the case of two

terminal networks.

Biography： Valentina E. Balas is currently Full Professor in the Department of

Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu”

University of Arad, Romania. She holds a Ph.D. in Applied Electronics and

Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of

more than 280 research papers in refereed journals and International Conferences. Her

research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart

Sensors, Information Fusion, Modeling and Simulation.

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Invited Talk by Prof. Ioan Ungurean of Stefan cel

Mare University of Suceava



Guangdong Hotel

In vited Sp eak er： Prof. Ioan Ungurean, Stefan cel Mare

University of Suceava, Romania

Title：Fog computing and Industrial Internet of Things

Abstract： Fog computing is a concept integrated in the Internet of Things (IoT) that uses

advanced embedded devices, called fog nodes, in order to bring cloud services such as

processing, storage and communication closer to the place where data are produced. In

this talk it is proposed an architecture for a fog node that activates the Internet of Things

for the devices form industrial environment (Industrial Internet of Things - IIoT) by

integrating a set of fieldbuses, such as EtherCAT, Profinet, Modbus TCP/IP, Modbus RTU,

CANOpen, and Profibus. Furthermore, it is presented a middleware Based Architecture

for the Industrial Internet of Thing that integrate this fog nodes. The proposed architecture

is designed around the Data Distribution Service for Real Time System (DDS) middleware

protocol, and it is organized on four levels. Between these levels, it is defined standard

interface, and they can be developed independently.

Biography： Ioan Ungurean received the M.S. and Ph.D. degrees in computer science

from the Stefan cel Mare University of Suceava, Suceava, Romania, in 2008 and 2011,

respectively. He is currently an Associate Professor with the Department of Computers,

Stefan cel Mare University of Suceava. His current research interests include fieldbuses,

real-time systems, real time operating systems, embedded systems, middleware systems,

Internet of things, Industrial Internet of Things, and distributed data acquisition systems.

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Invited Talk by Prof. Avatamanitei Sebastian-Andrei of Stefan

cel Mare University of Suceava



Guangdong Hotel

In vited S peaker：Prof. Avatamanite i Sebastian-Andrei, Stefan

cel Mare University of Suceava, Romania

Title：Visible Light Communication

Abstract： In the context of an increasing alarming the levels of

greenhouse emissions and the global energy consumption what is expected to increase

with 30% by 2040 the global interest is materializing in a fast deployment and in falling

costs for Eco-friendly energy technologies. One of these technologies is LED lighting

what is expected to be the main source of the light in the next years. Outside of the low

energy consumed and high performance the LEDs are capable of fast switching being

suitable for communication purpose. As a result, a novel wireless communication

technology has emerged based on Visible Light Communications (VLC) which provides

an energy efficient solution suitable for indoor communications (e.g. hospitals,

kindergarten, airplanes, chemical or nuclear plants) as well as for outdoor

short-to-medium distance applications, such as inter-vehicle communications or

communication-based traffic safety applications. VLC has a great potential for

applications due to their relatively simple design for basic functioning, efficiency and

large geographical distribution. But although VLC has been the focus of an intensive

research during the last few years, the technology is still in its infancy and requires

continuous efforts to overcome the current challenges, especially in outdoor applications.

The presentation is aim at providing an overview of several research directions that could

transform VLC into a reliable wireless communication component safe for the human

health.

Biography ： Avatamanitei Sebastian-Andrei received a B.S. degree in Applied

Electronics Engineering (2013) and a M.S. in Informataion Management in Industry and

Administration (2015) from the Stefan cel Mare University of Suceava (Romania).

Currently, he is PhD student at University of Suceava (Romania) since 2017. His main

research area is related to visible light communications, vehicle safety, sensors networks

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and biomedical signal processing.

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Invited Talk by Dr. Yinglong Dai of

Hunan Normal University



Guangdong Hotel

In vited S peaker：Dr. Yinglong Dai, Huna n Normal University,

China

Title：Healthcare Information Loop Using Deep Neural

Networks

Abstract： With the advances of information technology, the

efficiency of medical processes has been promoted, and the public knowledge of

healthcare has been enhanced. On the background of the advances of artificial intelligence

technology, the direction of future medicine is becoming a considerable problem,

including how to make the healthcare process more efficient and more dependable to

reduce the heavy burdens of doctors and nurses through informatization and

intelligentization. Healthcare is a dynamical process including a mass of complex

interactions with the complicated dynamical system of human body. There are a lot of

problems need to be carefully considered in order to apply artificial intelligence

technology in healthcare process.

In recent years, as a powerful functional approximator, deep neural networks achieve

a great success to process high-dimensional data in many research fields, such as

computer vision, speech recognition, natural language processing, etc. Their recognition

accuracy is approaching and even surpassing human level in some tasks. Based on deep

neural networks, we propose a healthcare information processing closed loop, called

Healthcare Information Loop (HIL), to promote the informatization and intelligentization

progress of healthcare process. The healthcare- loop is composed of a diagnose unit, an

entity unit, and an intervene unit. With respect to each unit, we built 1) a multi-channel

conceptual alignment deep neural network framework for health state diagnosis, 2) a body

simulator framework based on deep neural networks for body system simulation, 3) and a

deep inference framework based on deep neural networks for intervention strategy

evaluation.

Based on the proposed methods, we implemented a prototype simulation platform,

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including three modules: body simulator module, deep recognition module, and

intervention evaluation module. The interactions of the three modules form an information

closed loop. The framework can be used to simulate the changes of human body health

states under different interventions and to evaluate the advantages and disadvantages of

different healthcare strategies.

Biography： Yinglong Dai was born in Zixing, Hunan, China in 1988. He received B.S.

and M.S. degrees in automation and control theory & control engineering from

Northeastern University, China, in 2010 and 2012, respectively. He received a Ph.D.

degree in computer science from Central South University, China, in 2018. From 2012 to

2013, he was an Electronic Engineer with the Research Institute of Intelligent Engineering,

Sany Heavy Industry, Changsha, China. At present, he is a lecturer of School of

Information Science and Engineering at Hunan Normal University, China.

His research interests include deep learning, deep reinforcement learning, and

healthcare information processing. At present, he has 9 published papers, including 4

SCI-indexed papers and 9 EI- indexed papers

(https://www.researchgate.net/profile/Yinglong_Dai).

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Invited Talk by Mr. Muhammad Arif of Guangzhou

University



Guangdong Hotel

In vited Sp eak er ： Mr. M uham mad Arif, Guangzhou

University, China

Title：Fast Curvelet Transform through Genetic Algorithm for

Multi-modal Medical Image Fusion

Abstract： In modern medicine, medical imaging modalities

produce different types of medical images to facilitate clinician in their diagnosis of a

disease or injury. Each imaging modality has its specific strength, for instance, some

modalities are more superior to others in capturing detailed information on soft tissues

structure. Therefore, many researchers in medical image processing have attempted to

combine redundant and related information from multiple types of medical images to

produce the fused medical image that can provide a additional condense and information

enlightening image diagnosis for medical examination. Although, the already existing

fusion techniques of medical image have low ability to provide an image fused that can

sustain the information of fine details complacent from basic medical images. We propose

a novel method, fusion method that is based on a curvelet transform and genetic algorithm

(GA) for multimodal medical images. The implemented curvelet based approach enriches

local information from the source images in both spatial and spectral domains. The

application of GA in our approach is able to resolve the already existing doubtful and

vagueness in the input images and can further optimize the features for image fusion. GA

is coupled with copula distribution to identify the best possible solution for image fusion

without repeatedly perform probability calculations. The proposed approach has been

experimented on numerous groups of medical images and also compared with recent

medical image fusion techniques. Our method results show that our approach outperforms

the typical image fusion procedures in terms of the quantifiable image fusion performance.

The outcome of our quantitative assessment and visual analysis denote that our proposed

method has produced the highest superiority of the fused medical image than other

approaches by maintaining the fine facts of information and colour complacent from the

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basic images. Statistical and visual analysis shows that the quality of the fused medical

images significantly improved over the typical seven methods.

Biography： Muhammad Arif is PhD student in School of Computer Science and

Technology, Guangzhou University, Guangzhou, China. Currently he is working on

Privacy in Intelligent transportation System and vehicular communication. His research

interests include image processing, E learning, Artificial intelligence and data mining. He

joined Guangzhou University as a Scholar in September 2017 for the period of 3 years.

Before this he completed masters and bachelor degrees in Pakistan. He received his BS

degree in Computer Science from University of Sargodha, Pakistan in 2011. He obtained

his MS degree in Computer Science from COMSATS Islamabad 2013 Pakistan. He is the

editorial member of well reputed journals, as well as program committee member and

organizer of many conferences. He published more than 30 SCI journal papers and more

than 10 conference papers.

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Invited Talk by Mr. Muhammad Faizan Khan of

Guangzhou University



Guangdong Hotel

In vited S p eaker：Mr. M uhamma d Faizan Khan, Guangzhou

University, China

Title：Gait Recognition in Parkinson’s disease using Wi-Fi

Signals

Abstract： Parkinson's disease (PD) is a neurodegenerative disorder

that affects predominately dopamine-producing (“dopaminergic”) neurons in a specific

area of the brain called substantia nigra. Symptoms generally develop slowly over years

like tremor, mainly at rest and described as pill rolling tremor in hands. There can be other

forms of tremor as well. Other symptoms are bradykinesia, limb rigidity, gait and balance

problems. The first step to living well with Parkinson’s disease is to understand the disease

and the progression. So, there is need of adoption of proper technologies. It has been

observed that with the growing research for IoTs particularly wireless signals as sensors,

Wi-Fi has witnessed an increasing trend for numerous applications. Gait recognition using

Wi-Fi signals is one of the most promising application which can be employed for

detection of Parkinson’s disease. We envision that Wi-Fi signals can detect the special

movements caused by neurodegenerative disorder.

Biography： Mr. Khan, Muhammad Faizan is a PhD student in Computer Science under

the supervision of Prof. Wang Guojun at Guangzhou University since September 2016. He

is currently doing research on application of Wi-Fi signals as sensors. Prior to that he was

with the University of South Asia, Pakistan where he was serving in the capacity of

lecturer in Department of Computer Science. Mr. Khan did his Masters of Engineering in

Communication & Information Systems from a well reputed Chinese university,

Huazhong University of Science & Technology. Mr. Khan has got papers

published/accepted in reputed conferences like ISPA, ICUFN, DASC, UIC. Provided with

strong background, Mr. Khan has research interests in mobile communications, radar

signal processing and IoTs.

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Invited Talk by Prof. Zhong Fan of

Keele University



Guangdong Hotel

Invited Speak er：Prof. Zhong Fan, Keele University, UK

Title：Smart Energy Networks – Research Challenges and AI

Applications

Abstract： Affordable energy and clean growth is one of the key pillars of industrial

strategies of many countries, with the aim to address the so-called Energy Trilemma:

reduced costs to consumers, enhanced energy security and enabling the integration of low

carbon technologies. For example, there is evidence that significant economic benefits can

be secured for the UK from the development of smart energy solutions, including benefits

from investing in a more efficient network, energy storage, the development of the supply

chain, export potential, and the enabling of new and valuable downstream activities such

as electric vehicles. In this talk I will discuss some of the research issues in smart energy

networks and present our recent work on optimization and planning of local multi-vector

energy systems. I will then introduce an exciting new project called SEND (Smart Energy

Network Demonstrator) at Keele University. I will finish by presenting our ongoing work

of applying AI techniques to smart energy systems.

Biography： Zhong Fan is a Professor and Academic Director of SEND (Smart Energy

Network Demonstrator) at Keele University, UK, where he is leading R&D of a 15M pounds

project that aims to build one of Europe's largest live smart energy demonstrator on Keele

campus. Before Joining Keele, he was a Chief Research Fellow with Toshiba Research

Europe in Bristol, UK, leading research teams on IoT, smart energy, and 5G communications.

He led the team that pioneered the work on wireless mesh network solutions for smart

metering that was instrumental in Toshiba’s win of a major smart metering contract in Japan.

He is an advisory board member of the IEEE Industry Community on IoT. In his early career,

he worked as a Research Fellow at Cambridge University, a Lecturer at Birmingham

University and a Researcher at Marconi Labs Cambridge. He was also awarded a BT

Short-Term Fellowship to work at BT Labs. He earned his BS and MS degrees in EE from

Tsinghua University in China and PhD from Durham University. He has authored/co-authored

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over 160 papers in leading international journals and conferences and holds 35 patents.

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Invited Talk by Prof. Raymond Choo of

The University of Texas at San Antonio



Guangdong Hotel

In vited Sp eak er： Prof. Raym ond Choo, The Uni versity of

Texas at San Anton io, USA

Title：Cyber Security Threat Intelligence: Challenges and

Research Opportunities

Abstract： Cyber threat intelligence and analytic is among one of the fastest growing

interdisciplinary fields of research bringing together researchers from different fields such

as digital forensics, political and security studies, criminology, cyber security, big data

analytics, machine learning, etc. to detect, contain and mitigate advanced persistent threats

and fight against organized cybercrimes. In this presentation, we will discuss some of the

challenges underpinning this inter- / trans- /multi-disciplinary field as well as research

opportunities (e.g. how can we leverage advances in deep learning to better predict cyber

attacks?).

Biography： Kim-Kwang Raymond Choo received the Ph.D. in Information Security in

2006 from Queensland University of Technology, Australia. He currently holds the Cloud

Technology Endowed Professorship at The University of Texas at San Antonio (UTSA). In

2016, he was named the Cybersecurity Educator of the Year – APAC (Cybersecurity

Excellence Awards are produced in cooperation with the Information Security Community

on LinkedIn), and in 2015 he and his team won the Digital Forensics Research Challenge

organized by Germany’s University of Erlangen-Nuremberg. He is the recipient of the

2018 UTSA College of Business Col. Jean Piccione and Lt. Col. Philip Piccione Endowed

Research Award for Tenured Faculty, ESORICS 2015 Best Paper Award, 2014 Highly

Commended Award by the Australia New Zealand Policing Advisory Agency, Fulbright

Scholarship in 2009, 2008 Australia Day Achievement Medallion, and British Computer

Society’s Wilkes Award in 2008. He is also a Fellow of the Australian Computer Society,

and an IEEE Senior Member.

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Invited Talk by Prof. Richard Hill of

University of Huddersfield



Guangdong Hotel

In vited Sp eak er ： Prof. Richard Hill, University of

Huddersfie ld, UK

Title：Video Analytics: Coping with the Potential of Smart

Cities

Abstract： Video capture is a core component of a smart city. The ability to record events

presents the potential to automate the detection of objects, whilst also being able to

develop enriched knowledge bases of event data. Video data is large in volume, fast

(velocity) and is varied in nature. The augmentation of fixed video infrastructure such as

CCTV, with mobile video capture from mobile handsets and emerging applications such as

vehicle video, is stretching existing network infrastructures. This talk considers how our

approach to technologies will need to change to accommodate future demands upon smart

city network architecture.

Biography： Professor Richard Hill is Head of the Department of Computer Science, and

Director of the Centre for Industrial Analytics, at the University of Huddersfield, UK.

Professor Hill has published widely in the areas of Big Data, predictive analytics, the Internet

of Things, and Industry 4.0, and has specific interests in digital manufacturing and smart

cities.

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Invited Talk by Dr. Md. Zakirul Alam Bhuiyan of

Fordham University



Guangdong Hotel

In vited S peak er：Dr. Md. Zakirul Alam Bhuiyan, Fordham

University, USA

Title：Fusion Trustworthiness in Cyber-Physical Systems:

Focusing on Structural Health Monitoring Applications

Abstract： Discovering data trustworthiness before data fusion should be a primacy

preprocessing task in Cyber-Physical System (CPS), as the CPS can easily be a point of

attraction for the cyber-attackers besides system faults, severe resource constraints (e.g.,

bandwidth and energy), and environmental problems. We find that when data compromise

and alteration made before the fusion stage (such as at the time of measurement and

during the data transmission) can lead the low quality of data (QoD) collection, which

overall result in untrustworthy fusion results. We also find that the quality of monitoring

(QoM) results can be affected by the untrustworthy fusion results. Thus, the trustworthy of

the data generated from devices in the CPS play an important role in the fusion

trustworthiness. We consider the fusion trustworthiness in case of CPS-based structural

health Monitoring (SHM). The main idea the CPS based SHM is the identification of

critical events such as damage in structures such as building, aircraft, etc. The

identification of a situation completely relies on the fusion trustworthiness. State-of-the-art

data fusion approaches suggested to improve these constraints do not satisfy SHM-specific

requirements, such as fusion trustworthiness (such as the QoM). In this talk, I will

highlight a set of observations similar to the situation above and propose some potential

solutions to deal with the situations. I will also include a set of open areas of this research.

Biography： Md Zakirul Alam Bhuiyan, PhD, is currently an Assistant Professor of the

Department of Computer and Information Sciences at the Fordham University, NY, USA. He

is also a Visiting Professor of Guangzhou University, China. Earlier, he worked as an Assistant

Professor at the Temple University. His research focuses on dependability, cyber security, big

data, and cyber physical systems. He has over 120 papers published in prestigious venues,

including top tier IEEE/ACM transactions/magazines. Two of his papers have been

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recognized as the ESI Highly Cited Papers in Computer Sciences. He has served as a lead

guest/associate editor for IEEE TBD, ACM TCPS, IEEE IoT journal, INS, JNCA, FGCS, and

so on. He has also received the IEEE TCSC Early Career Research Award (2016-2017) and

the IEEE Outstanding Leadership Awards (2016, 2017, 2018), and so on. He has served as an

organizer, general chair, program chair, workshop chair, and TPC member of various

international conferences, including IEEE INFOCOM. He is a Senior Member of IEEE and a

member of ACM.

24

Invited Talk by Prof. Kouichi Sakurai of

Kyushu University



Guangdong Hotel

In vited S peak er：Pr of. Kouichi Sakurai, Kyushu University,

Japan

Title ： “Receipt-freeness”, “Coercion-resistance” and

“Deniability” of Online Authentication for Our Social Life

IT-systems

Abstract： Recently, online authentication including biometric is applied to various

IT-systems in not only closed environment but open network. For security and privacy of

such a system, compromising the biometric data is serious issue, because biometric

systems require registrants’ enrolled templates and extracted feature of captured

samples.Therefore, biometric authentication protocols with protection of the biometric

data are developed, such as cancelable biometrics, zero-bio, etc. Security of these

protocols originates in leakage of no privacy data by wiretapping, malicious access and etc.

in the online authentication processes. When this data can be collected and used as an

evidence of some user’ s authentication process by anyone, this situation causes novel

privacy issue. We discuss this issue, which suggest us to design novel requirements of

biometric authentication systems. As a first step of this argument, we consider two notions,

"receipt- freeness" and "coercion-resistance". These are characteristics of remote biometric

authentication protocols which mean a user or a third person do not obtain the above

evidence to convince the third person. This paper mentions the case that communication

between clients (user) and servers is observable. We analyze whether related biometric

authentication protocols achieves "receipt- freeness" and "coercion-resistance", or not. We

refer to yet another notion, deniability in cryptographic protocol and investigate the

relationship of these three notions. We also introduce recent developed e-voting protocols

based on Blockchain.

Biography： Kouichi Sakurai received the B.S. degree in mathematics from the Faculty of

Science, Kyushu University in 1986. He received the M.S. degree in applied science in 1988,

and the Doctorate in engineering in 1993 from the Faculty of Engineering, Kyushu University.

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He was engaged in research and development on cryptography and information security at the

Computer and Information Systems Laboratory at Mitsubishi Electric Corporation from 1988

to 1994. From 1994, he worked for the Dept. of Computer Science of Kyushu University in

the capacity of associate professor, and became a full professor there in 2002.

He had been working with the Institute of Systems & Information Technologies and

Nanotechnologies, as the chief of Information Security laboratory, for promoting research

co-operations among the industry, university and government under the theme "Enhancing

IT-security in social systems". He has been successful in generating such co-operations

between Japan, China and Korea for security technologies as the leader of a Cooperative

International Research Project supported by the National Institute of Information and

Communications Technology (NICT) during 2005-2006. Moreover, in March 2006, he

established research co-operations under a Memorandum of Understanding in the field of

information security with Professor Bimal Kumar Roy, the first time Japan has partnered with

The Cryptology Research Society of India (CRSI). And concurrently he is working also with

CyberSecurity Center of Kyushu University (https://cs.kyushu-u.ac.jp/en/), and doing joint

project with IIT-Delhi on IoT-security (https://cs.kyushu-u.ac.jp/sicorp/en/). Professor Sakurai

has published more than 350 academic papers around cryptography, information security, and

CyberSecurity (See his DBLP http://dblp.uni-trier.de/pers/hd/s/Sakurai:Kouichi )

26

Invited Talk by Prof. Peter Muller of

IBM Zurich Research Laboratory



Guangdong Hotel

In vited S peaker：Pr of. Peter Muller, IBM Z urich Research

Laborato ry, Switzerland

Title：Quantum Computing Technology towards Applications

Abstract： The upcoming quantum computing devices based on

superconducting qubit technology are expected to outperform conventional computers in a

growing number of algorithms, such as the computing of energy spectra or the dynamics

of molecular or condensed matter systems. To gain the best performance, algorithms can

be partitioned and placed to the appropriate modules of a tightly coupled

quantum-classical processing system.

This talk will introduce in the superconducting qubit technology as we apply it in

IBM. Some of the recently recognized challenges at qubit level regarding system

architecture, but also the overall ecosystem will be outlined. Further, the integration of

quantum computers into our computing environment to form a co-existing

quantum-classical system will be reported. I will show developments towards useful

quantum applications with potential advantage when running them on small sized

quantum computing hardware. Such methods may enhance the efficiency of variational

methods for quantum chemistry or optimization tasks with the prospect of carrying out

scientifically and commercially relevant computations in the near future.

Biography： Peter Mueller joined IBM Research as a research staff member in 1988. His

research expertise covers broad areas of computing systems architecture, microwave

technology, device physics, nano science and modeling. His current field of research is in the

areas of quantum technology and data center storage security. Peter is a co-founder of the

IEEE ComSoc Communications and Information Systems Security Technical Committee

(CIS-TC) and the emerging subcommittee on Quantum Communications and Information

Technology (QCIT). In the course of his carrier he authored and co-authored more than 100

papers, 2 books, granted 25 patents and served as guest editor for many special issue

publications. He also served as a government counsel and as organizer for international

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conferences and workshops, such as the IEEE International Conference on Communications,

IEEE Globecom, IEEE Symposium on Systems and Information Security, International

Wireless Communications and Mobile Computing Conference, WirelessCom, or the Electro

and Information Technology Conference. In 2017 Peter got awarded by the Hungarian

Scientific Association for Infocommunications with the Puskas Tivadar Medal for his

contributions in the field. His affiliations include active society membership in IEEE; the

Society for Industrial and Applied Mathematics (SIAM); the Electrochemical Society (ECS);

and the Swiss Physical Society (SPS).

28

Invited Talk by Dr. Peng Li of

The University of Aizu



Guangdong Hotel

Invited Speak er：Dr. Peng Li, The University of Aizu, Japan

Title：Intelligent Collaboration of Air-Ground Vehicles for

Smart Cities

Abstract： There is a growing trend of applying unmanned air

vehicles and ground vehicles in various scenarios (e.g., military, package delivery and

agriculture) in recent years. This talk will present a promising design of air-ground vehicle

system with collaborative intelligence by integrating these two technologies. I will show

an example of applying the proposed design in disaster management. Specifically, after

big disasters, a damaged area can be out of contact because of severe damage of existing

network infrastructures. Meanwhile, high demands for network connections to the disaster

area will arise to collect damage information and disseminate rescue instructions. To

address this challenge, a vehicle-assist resilient information and network system for

disaster management is designed, despite of the Internet unavailability. An online

algorithm is proposed to schedule vehicles to conduct disaster management tasks, without

any knowledge of future task arrivals.

Biography： Peng Li received his BS degree from Huazhong University of Science and

Technology, China, in 2007, the MS and PhD degrees from the University of Aizu, Japan, in

2009 and 2012, respectively. Dr. Li is currently an Associate Professor in the University of

Aizu, Japan. His research interests mainly focus on cloud computing, Internet-of-Things, big

data systems, as well as related wired and wireless networking problems. He won the Young

Author Award of IEEE Computer Society Japan Chapter in 2014. He won the Best Paper

Award of IEEE TrustCom 2016. He supervised students to win the First Prize of IEEE

ComSoc Student Competition in 2016. He is a member of IEEE.

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