Prof. Xiaodong Liu
SMIEEE, FHEA, Head of Intelligence-Driven IoT and Smart Systems Research Group
Edinburgh Napier University, UK
Areas of Expertise: Pervasive systems (Internet of Things), Cyber-Physical Systems, Services-oriented architecture, Evolution of cloud services, and Intelligence-driven software engineering
Brief Introduction: Prof. Liu received his PhD in Computer Science from De Montfort University and joined Napier in 1999. He is currently leading the Software Systems research group in the SoC, Edinburgh Napier University. He was the director of Centre for Information & Software Systems. Prof Liu is an active researcher in software engineering with internationally excellent reputation and leading expertise, focusing on its emerging themes including pervasive systems (Internet of Things), Cyber-Physical Systems, services-oriented architecture, evolution of cloud services, and intelligence-driven software engineering. He has meanwhile a successful track record of teaching in a number of software engineering courses which are widely informed by his research activities.
He has led 12 externally funded projects as the PI, and published over 160 papers in established international journals and conferences, 5 book chapters and 3 research handbooks. He is the inventor of 1 patent registered in UK and USA and the founder of a spin-out company. He has been the chair, co-chair or PC member of a number of IEEE and IASTED International Conferences. He is the editorial board member of 4 international journals, associate editor for 2 international journals, and editor of 3 research books and 3 journals special issues. He is a senior member of IEEE Society and a member of British Computer Society.
Tentative Speech Title: Challenges in the Next Generation of IoT-based Smart Systems and a Case Study
Tentative Abstract: Artificial Intelligence (AI), big data analytics and the Internet of Things (IoT) are the three key pillars of the next generation cyber-physical systems. Cyber-physical systems (CPS) refer to novel hardware and software compositions creating smart, autonomously acting devices, enabling efficient end-to-end workflows and new forms of user-machine interaction. This talk will firstly present the key challenges that the future IoT-based systems are facing and then discuss the possible solutions and the critical technologies that need to be involved.
As a case study, we are going to discuss a new type of resilient Cyber Physical Systems, namely Context-Active Resilient CPS, which we developed recently. Context-Active Resilience is a new level of resilience, which has not been targeted by previous work. We aim to develop a novel approach to context-active resilience in CPS, which ensures the best matching and optimal functions and QoS of the CPS in real-time during the running of the CPS.
Prof. Jinsong Wu
Guilin University of Electronic Technology, China
Areas of Expertise: Machine Learning, Big Data, Green IT, Computer Vision, Natural Language Processing, Internet of Things, Edge Computing
Brief Introduction: Full Professor, School of Artificial Intelligence, Guilin University Of Electronic Technology, China. IEEE Senior Member. Founding Chair (2011-2017), IEEE Technical Committee on Green Communications and Computing. Founding Vice Chair (2015-present), IEEE Technical Committee on Big Data. Vice Chair, Technical Activities, IEEE Environmental Engineering Initiative, Associate Editor, IEEE Systems Journal. Area Editor, IEEE Transactions on Green Communications and Networking.
Tentative Speech Title: Environmental Sustainability and Intelligence as well as General Green Technologies
Tentative Abstract: Although the term of green has been often used to refer to energy consumption reduction or energy efficiency by many people and literatures, green actually should refer to environmental sustainability in more general senses. Environmental sustainability issues have been important topics for recent years, which has impacted and will further impact individuals, enterprises, governments, and societies. Environmental sustainability is not simply regarding reducing the amount of waste or using less energy, but relevant to developing processes leading to completely sustainable human society in the future. ...more...
Prof. Sudan Jha
Kathmandu University, Nepal
Areas of Expertise: Internet of Things, Artificial Intelligence, Machine Learning (Deep Learning), Neutrosophic theory and Neutrosophic Soft Set Systems
Brief Introduction: Prof. Sudan Jha is a Senior IEEE member; working as a Professor at the department of Computer Science and Engineering, (School of Engineering), Kathmandu, University. He is also a Principal Scientist in the NAAMI in the Himalayan country Nepal. He is an internationally acclaimed Keynote Speaker in several international conferences, Resource Person in National/International faculty development programs, Short term training programs for faculties and students. He has served as Guest Editor in several SCIE and ESCI journals, reviewer/TPC member in various conferences and journals.
Tentative Speech Title: The dynamic behavior of Information Systems in Internet of Vehicles
Tentative Abstract: Cloud computing is not effective for real-time Internet of Vehicles (IoV) services due to bandwidth and delay challenges. Edge computing, a distributed computing paradigm, can complement centralized cloud computing for IoV services by offloading computation to distributed edge servers (ESs). Proper quantification and placement of ESs is essential for achieving higher quality of service (QoS) and avoiding additional delay and network congestion. Existing ES placement schemes are often fixed and unaware of the dynamic change of IoV traffic, leading to suboptimal performance. ...more...
Assoc. Prof. Pavel Loskot
Zhejiang University, China
Areas of Expertise: Statistical signal processing, Probabilistic modeling, Networked systems
Brief Introduction: 25+ years of experience in design, analysis, implementation and deployment of telecommunication systems through numerous academic and industrial collaborative projects and consultancy contracts. Expert level knowledge of digital and statistical signal processing, algorithms and methods. Solid background in applied probability and statistics. Avid Linux programmer and user since 1996. In 2014/2015, as a Visiting Researcher at CSRC of the Chinese Academy of Engineering Physics started working on computational molecular biology. In 1999-2001, Research Scientist and Project Manager at CWC, Oulu, Finland. A Fellow of the Higher Education Academy of the UK, and the Recognised Research Supervisor of the UK Council for Graduate Education. A Senior Member of the IEEE since 2013.
Tentative Speech Title: Computational Methods in Computational Molecular Biology
Tentative Abstract: Molecular biology is primarily concerned with chemical interactions of molecules. These interactions were traditionally inferred from time-consuming and costly laboratory experiments. Owing to the current progress of mathematical modeling techniques and computational tools, it is often a lot more efficient to replace in vitro experiments with in silico experiments on a computer. In this talk, I will discuss mathematical models of biochemical processes in the cell, and how these models are aligned with in vitro and in vivo observations in order to elucidate biological knowledge, ...more...