Vincenzo Piuri, Department of computer Science, University degli Studi di Milano, Italy
Ambient intelligence: convergence of artificial intelligence, machine learning, biometrics, cloud-computing, and internet-of-things
Chengsheng Pan, Dalian University, China
Network Traffic Theory and Technologies: Practice, Challenges and Trends
Anton Nijholt, University of Twente, Netherlands (UIC 2019)
Turning Ubiquitous Smartness into Ubiquitous Playability
Peter Eisert, Humboldt University Berlin, Germany (SWC2019)
Visual Computing for Smart AR Assistance
Pierangela Samarati, Department of Computer Science of the Universita' degli Studi di Milano, Italy (ATC 2019)
Data Security and Privacy in Emerging Scenarios
Geyong Min, University of Exeter, UK (ScalCom 2019)
Autonomous Operation and Maintenance in Scalable Computing and Networking Systems
Zhiwen Yu, Northwestern Polytechnical University, China (IoP 2019)
Ten Scientific Problems in Human Behavior Understanding
Reeba Korah, Alliance College of Engineering and Design, Alliance University, Bangalore, India (SCI 2019)
IOT Enabled Smart Energy Management Systems for Smart City Applications-An Indian context
Omer F. Rana, Cardiff University, UK (invited talk)
Vertical workflows: Service Orchestration Across Cloud & Edge Resources
Wenbing Zhao, Cleveland State University, USA (invited talk)
Developing Smart and Connected Solutions for Healthcare and Medicine
Department of computer Science, University degli Studi di Milano, Italy
Title: Ambient intelligence: convergence of artificial intelligence, machine learning, biometrics, cloud-computing, and internet-of-things
Adaptability and advanced services for ambient intelligence require an intelligent technological support for understanding the current needs
and the desires of users in the interactions with the environment for their daily use, as well as for understanding the current status of the environment also in complex situations.
This infrastructure constitutes an essential base for smart living. Various technologies are nowadays converging to support the creation of efficient and effective infrastructures for ambient intelligence.
Artificial intelligence can provide flexible techniques for designing and implementing monitoring and control systems, which can be configured from behavioral examples or by mimicking approximate reasoning
processes to achieve adaptable systems. Machine learning can be effective in extracting knowledge form data and learn the actual and desired behaviors and needs of individuals as well as the environment to
support informed decisions in managing the environment itself and its adaptation to the people’s needs.
Biometrics can help in identifying individuals or groups: their profiles can be used for adjusting the behavior of the environment. Machine learning can be exploited for dynamically learning the preferences and
needs of individuals and enrich/update the profile associated either to such individual or to the group. Biometrics can also be used to create advanced human-computer interaction frameworks.
Cloud computing environments will be instrumental in allowing for world-wide availability of knowledge about the preferences and needs of individuals as well as services for ambient intelligence to
build applications easily.
This talk will analyze the opportunities offered by these technologies to support the realization of adaptable operations and intelligent services for smart living in an ambient intelligent infrastructures.
Vincenzo Piuri has received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is Full Professor in computer engineering at the Università degli Studi di Milano,
Italy (since 2000). He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA.
His main research interests are: artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics,
intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, dependability, and cloud computing infrastructures. Original results have been published
in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters.
He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He has been IEEE Vice President for Technical Activities (2015), IEEE Director,
President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE
Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society.
He is Editor-in-Chief of the IEEE Systems Journal (2013-19), and Associate Editor of the IEEE Transactions on Cloud Computing and IEEE Access, and has been Associate Editor of the
IEEE Transactions on Computers, the IEEE Transactions on Neural Networks and the IEEE Transactions on Instrumentation and Measurement.
He received the IEEE Instrumentation and Measurement Society Technical Award (2002). He is Honorary Professor at: Obuda University, Hungary;
Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; and the Amity University, India.
Dalian University, China
Title: Network Traffic Theory and Technologies: Practice, Challenges and Trends
In complex network systems, there are over ten different types of heterogeneous links, including cable, short-wave, ultra-short-wave, satellite, etc. Heterogeneous networks can also be categorized into over ten types, including wired local area network, wireless short-wave network, etc. How to make these links converged and the networks unified bearing using efficient network traffic theory is the main difficulty to shorten the information transmission time and improve the network throughput.
This talk will briefly describe the definition and theorems of the traffic self-similarity in network traffic theory, discusses several methods of establishing models of heterogeneous link convergence and heterogeneous network unified bearing based on network traffic self-similarity principle, and forecasts the challenges faced by intelligent network traffic theory and key technologies.
University of Twente, Netherlands
Title: Turning Ubiquitous Smartness into Ubiquitous Playability
Digital technology makes cities smart. City managements can make use of information that can be extracted from databases in which data is collected about energy consumption,
traffic behavior, waste management, human behavior in public environments and even opinions of the general public, for example as they can be obtained from social media use.
But can this help to make living in a city more enjoyable? How can digital technology make cities 'playful', allow citizens to engage in playful and entertaining activities
that help to enjoy their daily and sometimes boring activities such as commuting, working, career and social obligations, housekeeping? In this talk we investigate how sensors
and actuators in a smart urban environment can be introduced and used to design playful experiences. We discuss how ideas about playable cities have developed in recent years
and we will illustrate them with many examples ranging from top-down (city management) to bottom-up (DIY urbanism) initiatives, and the technology behind these initiatives.
Anton Nijholt has interest in human-computer interaction, playability, entertainment computing, humor research and brain-computer interfacing.
He is author of hundreds of research papers in these areas and wrote and edited several books. He has been program chair and general chair of many international conferences and workshops
devoted to affective computing, virtual agents, computer animation, faces & gestures, computational humor, entertainment computing, playable cities, and brain-computer interfaces. Nijholt
is chief-editor of the specialty section Human-Media Interaction of Frontiers in Psychology, Frontiers in Computer Science, and he is series editor of the Springer Book Series on
Gaming Media and Social Effects.
Recent edited books are “Brain Art: Brain-Computer Interfaces for Artistic Expression” (Springer, 2019) and “Making Smart Cities More Playable. Exploring Playable Cities” (Springer, 2019).
Humboldt University Berlin, Germany
Title: Visual Computing for Smart AR Assistance
The current progress in Virtual and Augmented Reality, especially with the development and availability of VR/AR glasses, has
enabled many novel tools that assist humans in complex working processes. By tracking the user as well as objects in the scene, additional context based information can be visualized directly
on the surface of objects of interest. In this talk, 3D image and video analysis methods will be presented that allow the 3D registration of computer graphics information with the real scene.
The visualization is not restricted to simple text and iconic information but can also provide rich content like the structure of a tumor in medical images or natural humans for remote collaboration.
This includes hybrid visualization that combine video-based methods with semantic computer graphics objects to achieve high visual quality while creating the possibility to interact with and modify
the augmented content. Examples from real-world applications will be shown in the areas of multimedia, industry and medicine.
Peter Eisert is Professor for Visual Computing at the Humboldt University Berlin and heading the Vision & Imaging Technologies Department of Fraunhofer HHI, Berlin, Germany.
He is also Professor Extraordinaire at the University of Western Cape, South Africa. In 2000, he received the Dr.-Ing. degree "with highest honors" from the University of Erlangen-Nuremberg, Germany.
He then worked as a postdoctoral fellow at the Stanford University, USA, on 3D image analysis as well as facial animation and computer graphics.
In 2002, he joined Fraunhofer HHI, where he is coordinating and initiating numerous national and international 3rd party funded research projects.
He has published more than 150 conference and journal papers and is Associate Editor of the International Journal of Image and Video Processing as well as
in the Editorial Board of the Journal of Visual Communication and Image Representation. His research interests include 3D image/video analysis and synthesis, face and body processing,
image-based rendering, computer vision, computer graphics, machine learning in application areas like multimedia, industry, security, and medicine.
Department of Computer Science of the Universita' degli Studi di Milano, Italy
Title: Data Security and Privacy in Emerging Scenarios
The rapid advancements in Information and Communication Technologies (ICTs) have been
greatly changing our society, with clear societal and economic benefits. Mobile
technology, Cloud, Big Data, Internet of things, services and technologies that are
becoming more and more pervasive and conveniently accessible, towards to the realization
of a 'smart' society’. At the heart of this evolution is the ability to collect, analyze,
process and share an ever increasing amount of data, to extract knowledge for offering
personalized and advanced services. A major concern, and potential obstacle, towards the
full realization of such evolution is represented by security and privacy issues. As a
matter of fact, the (actual or perceived) loss of control over data and potential
compromise of their confidentiality can have a strong detrimental impact on the
realization of an open framework for enabling collection, processing, and sharing of data,
typically stored or processed by external cloud services.
In this talk, I will illustrate some security and privacy issues arising in emerging
scenarios, focusing in particular on the problem of managing data while guaranteeing
confidentiality and integrity of data stored or processed by external providers.
Pierangela Samarati is a Professor at the Department of Computer Science of the
Universita' degli Studi di Milano, Italy. Her main research interests are on data and
applications security and privacy, especially in emerging scenarios. She has participated
in several projects involving different aspects of information protection. On these
topics, she has published more than 270 peer-reviewed articles in international journals,
conference proceedings, and book chapters.
She has been Computer Scientist in the Computer Science Laboratory at SRI, CA (USA). She
has been a visiting researcher at the Computer Science Department of Stanford University,
CA (USA), and at the Center for Secure Information Systems of George Mason University, VA
She is the chair of the IEEE Systems Council Technical Committee on Security and Privacy
in Complex Information Systems (TCSPCIS), of the ERCIM Security and Trust Management
Working Group (STM), and of the ACM Workshop on Privacy in the Electronic Society
(WPES). She is a member of several steering committees. She is ACM Distinguished Scientist
(named 2009) and IEEE Fellow (named 2012).
She has received the ESORICS Outstanding Research Award (2018), the IEEE Computer Society
Technical Achievement Award (2016), the IFIP WG 11.3 Outstanding Research Contributions
Award (2012), and the IFIP TC11 Kristian Beckman Award (2008). She has served as General Chair, Program Chair,
and program committee member of several international conferences and workshops.
University of Exeter, UK
Title: Autonomous Operation and Maintenance in Scalable Computing and Networking Systems
As scalable computing and networking systems are becoming larger and more complex, the operations and management of such systems pose grand challenges.
An important trend is to achieve autonomous operation and maintenance and create secure, reliable and dependable systems with a “zero perceived” downtime for services provisioning.
To this end, an efficient method is to develop efficient big data analytics in order to dig valuable knowledge and actionable insights hidden in content-rich big data for improving the design, operation,
management, and intelligence of scalable computing and networking systems. This talk will present the innovative big data processing technologies and integrate big data, machine learning,
and artificial intelligence technologies to automate and enhance operations and management.
This talk opens up a new horizon of research and development by exploiting the key intelligence and insights hidden in big data for the design and improvement of scalable computing and networking systems.
rofessor Geyong Min is a Chair in High Performance Computing and Networking. His recent research has been supported by European Horizon-2020, FP7, UK EPSRC, Royal Society, Royal Academy of Engineering, and industrial partners including British Telecom, IBM, and INMARSAT.
He has published more than 200 research papers in leading international journals including IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications,
IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and at reputable international conferences, such as SIGCOMM-IMC, INFOCOM, and ICDCS.
He is an Associated Editor of several international journals, e.g., IEEE Transactions on Computers, IEEE Transactions on Cloud Computing, and Computer journals.
He served as the General Chair/Program Chair of a number of international conferences in the area of Information and Communications Technologies.
Northwestern Polytechnical University, China
Title: Ten Scientific Problems in Human Behavior Understanding
Human behavior understanding is of great importance for variety of applications, such as personalized recommendations, smart home, urban planning, and anti-terrorism.
Although there has been significant progress on the understanding of human behaviors, we still face a number of theoretical and technical challenges that need be further explored.
In this talk, I will introduce ten most important fundamental open problems in this field. They are expected to provoke innovative studies on human behavior understanding,
e.g., theory improvement and data collaboration. In this talk, I will also present our recent research works in this topic.
Dr. Zhiwen Yu is currently a professor of the School of Computer Science, Northwestern Polytechnical University, China.
He has worked as an Alexander Von Humboldt Fellow at Mannheim University, Germany from Nov. 2009 to Oct. 2010, a research fellow at Kyoto University,
Japan from Feb. 2007 to Jan. 2009, and a post-doctoral researcher at Nagoya University, Japan in 2006-2007. His research interests cover ubiquitous computing,
mobile social networks, and human-computer interaction. He has served as an associate/guest editor for a number of international journals, such as IEEE Transactions on Human-Machine Systems,
IEEE Communications Magazine, and ACM Transactions on Intelligent Systems and Technology. He is the General Chair of CPSCom 2019, SmartCity 2016, CPSCom 2015,
and UIC 2014, the Program Chair of ACM TURC 2018, EUC 2013, HumanCom 2012, and UIC 2010, the Vice Program Chair of PerCom 2015, the Workshop Chair of UbiComp 2011.
He has published around 150 scientific papers in refereed journals and conferences, e.g., ACM Computing Surveys, IEEE TKDE, IEEE TMC, IEEE THMS, ACM TKDD, UbiComp,
PerCom, etc. Zhiwen Yu is a senior member of IEEE, a distinguished member of CCF (China Computer Federation) and the vice chair of CCF Pervasive Computing Technical Committee.
He received the CCF Young Scientist Award in 2011, the CPSCom'13/GPC'12/AMT'12/UIC'09 best paper awards, the Humboldt Fellowship in 2008,
and the CCF Excellent Doctoral Dissertation Award in 2006. He got the National Science Fund for Distinguished Young Scholars in 2017.
Alliance College of Engineering and Design, Alliance University, Bangalore, India
Title: IOT Enabled Smart Energy Management Systems for Smart City Applications-An Indian context
One of the key features in any smart city project is the application of smart solutions to infrastructure and services in area based development in order to make them better. For example, using fewer resources and providing cheaper services. Smart cities focus on usage of IOT to collect data and use them to manage assets and resources efficiently. Monitoring and managing waste, power generation, home and building automation, smart water supply management and intelligent transport and road management are some of the works in progress in mu institution, Alliance University.
The talk will focus on the problems in waste management by monitoring the current state of waste bins and their surroundings, extraction of energy from the collected waste and later converting into electricity to provide clean and cheap electricity to remote places of the city as well to the poor community, and nn integrated Vehicle to grid technology system with capability to control bidirectional flow of electric energy between a vehicle and a grid.
Dr. Reeba Korah heads Alliance College Engineering and Design. She has a vast experience of over 24 years in the field of engineering, academics, administration and active research. Prof. Korah is an alumnus of prestigious Anna University, Chennai. Her technical expertise spans VLSI design, image and video processing and wireless sensor networks.
She has about 40 research publications to her credit in reputed international journals and conference proceedings. She has presented her research works in IEEE International conferences held in China, Spain and Canada. She has authored five books pertaining to electronics engineering. Dr. Korah serves as a doctoral level research supervisor in Anna University and Alliance University, Bangalore. She has produced eleven Ph.D. holders so far. She is also a doctoral committee member in these universities. She serves as a reviewer for the reputed Elsevier International Journal of Micro Electronics and Emerald Compel International Journal for Computation and Mathematics in Electrical and Electronic Engineering. Dr. Korah is the recipient of the Karnataka Government’s research funding to establish a Centre of Excellence in Electronic device modelling and VLSI Chip design.
Omer F. Rana
Cardiff University, UK
Title: Vertical workflows: Service Orchestration Across Cloud & Edge Resources
Many Internet of Things (IoT) applications today involve data capture from sensors that are close to the phenomenon being measured,
with such data subsequently being transmitted to Cloud data centers for analysis and storage. Currently devices used for data capture often differ from those
that are used to subsequently carry out analysis on such data. Increasing availability of storage and processing devices closer to the data capture device,
perhaps over a one-hop network connection or even directly connected to the IoT device itself, requires more efficient allocation of processing across such
edge devices and data centers. Scalability in this context needs to consider both cloud resources and initial processing on edge resources closer to the user.
We refer to these as "vertical workflows" – i.e. workflows (a combined set of services) which are enacted across resources that can vary in: (i) type and behaviour;
(ii) processing and storage capacity; (iii) latency and security profiles. Understanding how a workflow can be enacted across these resource types is outlined, motivated
through multiple application scenarios. The overall objective considered is the completion of the workflow within some deadline constraint,
but with flexibility on where data processing is carried out.
Omer F. Rana is Professor of Performance Engineering at Cardiff University, with research interests in high performance distributed computing,
data analysis/mining and multi-agent systems. He was formerly the deputy director of the Welsh eScience Centre and had the opportunity to interact with a number of
computational scientists across Cardiff University and the UK. He is a fellow of Cardiff University's multi-disciplinary "Data Innovation" Research Institute.
Rana has contributed to specification and standardisation activities via the Open Grid Forum and worked as a software developer with London-based Marshall
Bio-Technology Limited prior to joining Cardiff University, where he developed specialist software to support biotech instrumentation. He also contributed
to public understanding of science, via the Wellcome Trust funded "Science Line", in collaboration with BBC and Channel 4. Rana holds a PhD in "Neural Computing and Parallel Architectures"
from Imperial College (London Univ.), an MSc in Microelectronics (Univ. of Southampton) and a BEng in Information Systems Eng. from Imperial College (London Univ.).
He serves on the editorial boards (as Associate Editor) of IEEE Transactions on Parallel and Distributed Systems, (formerly) IEEE Transactions on Cloud Computing,
IEEE Cloud Computing magazine and ACM Transactions on Internet Technology. He is a founding-member and associate editor of ACM Transactions on Autonomous & Adaptive Systems.
Cleveland State University, USA
Title: Developing Smart and Connected Solutions for Healthcare and Medicine
In recent years, we have seen exciting new innovations in connectivity (NFC and Bluetooth LE), sensing (motion, position, voice, vision, physiology, and environment),
visualization (touch screen, virtual and mixed reality), computing (mobile phones and cloud services), and algorithms (big data, machine learning and artificial intelligence).
These technologies form the backbone of the Internet of Things, and they facilitate the development of previously unthinkable smart and connected solutions that promise to
transform healthcare and medicine from reactive and hospital-centered to preventive and personalized, from disease focused to well-being centered. In this talk, Dr. Zhao
will provide an overview of this field, present his current project on a computer-vision-based system that aims to increase the workers’ compliance to best practices in
using proper body mechanics, and outline several projects he is planning,
including their main hypotheses, the research problems to which he is seeking answers, and the main approaches he will be taking.
Dr. Zhao is a Professor at the Department of Electrical Engineering and Computer Science, Cleveland State University.
He earned his Ph.D. at University of California, Santa Barbara in 2002. He has over 200 peer-reviewed publications. Dr. Zhao’s research spans from dependable
distributed systems to human centered smart systems. His research has been funded by the US NSF, US Department of Transportation, Ohio Bureau of Workers’ Compensation,
Ohio Department of Higher Education, and Ohio Development Services Agency. He has delivered more than 10 keynotes, tutorials, public talks and demonstrations in various conferences,
industry and academic venues. Dr. Zhao is an associate editor for IEEE Access, MDPI Computers, and PeerJ Computer Science,
and a member of the editorial board of several international journals, including Applied System Innovation, Internal Journal of Parallel,
Emergent and Distributed Systems and International Journal of Distributed Systems and Technologies.
He is currently an IEEE Senior Member and serves on the executive committee of the IEEE Cleveland Section.