International Workshop on
ADVANCEs in ICT Infrastructures and Services,
26-29 February 2024, Hanoi, Vietnam
Technical Programme
ADVANCE 2024 Draft Programme on glance:
Abstract: Recently, semantic
communication has attracted extensive attention from industry
and academia, and has been identified as a core challenge for
the sixth generation (6G) of wireless networks. The origin of
this concept is often explained by the fact that the ultimate
goal of communications is to exchange semantic information
while the communication medium can only transmit physical
signals. A better understanding can be obtained by the
following example: assume that some image / video transmission
is designed with the intent that the receiver is able to do
some classification... If the kind of classification is known,
the best thing to do is to classify at the transmitter, and
transmit the result. This is the same with speech
transmission: rather than transmitting the speech, just do the
processing at the transmitter and transmit the text. Things
become more intricate when one knows that classification will
not be the only processing to be performed at the receiver,
but is a priority or if the kind of classification is not
known. This is the motivation for our work: still transmit
information allowing to recover the original signal or image /
video, but design the transmission in such a way that the rate
is small, and that the received signal has good performance
for a given task. This will allow some other non-previously
defined tasks to be performed at the receiver side. This
situation is in contradiction with traditional image
transmission which initially concentrated on rate / distortion
tradeoffs, following the initial information theory results.
This work intends in some sense to make a first step in this
new direction while keeping a spirit very close to Information
Theory, even if it is making intensive use of machine
learning, and more specifically of Generative Adversarial
Autoencoders (GANs). Assume that some still images are to be
sent to some end user with a reduced rate, in such a way that
upon reception (i) they are “close” to the original one in
terms of distortion, and (ii) they should also allow some
efficient classification. In this kind of situation, our
ultimate goal is to search for the best “rate / distortion /
classification” tradeoff, an approach which is very similar to
the work of Blau and Michaeli on perception [CVPR 2018, ICML
2019]. Obviously, this setting is a much simplified situation
compared to the general setting of Goal-Aware Communications,
but it allows to derive precise results. This talk will
explain these ideas and the corresponding results on a toy
MNIST example. Clearly, our results are in a preliminary
status, but we believe they can be useful to this audience.
Bio: Pierre Duhamel (Life Fellow IEEE, Fellow EURASIP) received the Eng. Degree in Electrical Engineering from the National Institute for Applied Sciences (INSA) Rennes, France in 1975, and the Dr. Eng. and the D.Sc degrees from Orsay University, Orsay, France in 1978 and 1986, respectively. From 1975 to 1980, he was with Thomson-CSF, Paris, France, where his research interests included circuit theory and signal processing. In 1980, he joined the National Research Center in Telecommunications (CNET), Issy les Moulineaux, France, where his research activities were mainly concerned with fast algorithms for computing various signal processing functions (FFT’s, convolutions, adaptive filtering, and wavelets). From 1993 to Sept. 2000, he has been professor with ENST (National School of Engineering in Telecommunications), Paris with research activities focused on Signal processing for Communications. He was the head of the Signal and Image processing Department from 1997 to 2000. He is currently with CNRS/LSS (Laboratoire de Signaux et Systemes, Gif sur Yvette, France), where he developed studies in Signal Processing for communications and signal/image processing for multimedia applications, including source/protocol/channel coding/decoding. He is also investigating the connections between communications, information theory and AI. He has been “directeur de recherches émérite” since March 2019. He has published more than 105 articles in international journals, more than 320 papers in international conferences, and holds 29 patents. He is a co-author of the book `Joint Source and Channel Decoding: A cross layer perspective with applications in video broadcasting" which appeared in 2009, Academic Press. He successfully advised or co-advised more than 65 PhD students, some of them being now fellows of the IEEE.
Keynote Talk 2 : Unlocking the Potential of
Blockchain in Healthcare
By Pr Abdelhakim Hafid, University of
Montreal, Canada
Abstract: Blockchain can be simply defined as
a distributed digital ledger that keeps track of all the
transactions that have taken place in a secure, chronological and
immutable way using peer-to-peer networking technology. The most
known blockchain application is bitcoin that supports transactions
of bitcoin transfer. However, blockchain is finding many uses in
financial and non-financial applications; indeed, it is believed
that blockchain will transform how we live, work, and interact.
This talk will start with a brief introduction to Blockchain
technology. It will explore the opportunities of implementing
blockchain in healthcare. It will discuss the benefits of using
blockchain technology and examine real-world examples of
blockchain applications in healthcare.
Bio: is a Full Professor at the University of Montreal. He is the founding director of Network Research Lab and Montreal Blockchain Lab. Prof. Hafid published over 260 journal and conference papers; he also holds three US patents. Prior to joining U. of Montreal, he spent several years, as senior research scientist, at Bell Communications Research (Bellcore), NJ, US working in the context of major research projects on the management of next generation networks. He advised and consulted for a number of companies and startups in North America. He co-founded Tipot Technologies Inc. (Research & Development Platform for IoT). Prof. Senhaji has extensive academic and industrial research experience in the area of the communication networks and distributed systems. His current research interests include Blockchain scalability and security, Blockchain disruption of various industry segments, IoT, Fog/edge computing, and intelligent transport systems.
Abstract: With the advancements of many
technologies, the Internet of Things (IoT) opens a wide range of
new applications such as smart appliances, smart cities and smart
grids. Despite its popularity and usability, it also creates a new
attack surface for hackers, especially on highly constrained
devices that have limited memory footprints and processing power.
This talk will overview the current state-of-the-art methods for
securing ultra-low-power (ULP) IoT applications. In addition, it
will discuss new challenges to secure power-harvested IoT devices.
Finally, it shows an example of securing a highly constrained
power-harvested Beat Sensor.
Bio: Prof Duy-Hieu Bui received a B.Sc.
degree in electronics telecommunication technology from the
VNU-University of Engineering and Technology (VNU-UET), a member
of Vietnam National University Hanoi (VNU), Vietnam in 2010, an
M.Sc. degree in Network and Telecommunications from the University
of Paris-Sud, Orsay, France, in 2012, and a PhD degree in
Nanotechnology and Nanoelectronics from University Grenoble Alpes,
MINATEC campus, France (in collaboration with CEA-Leti and
VNU-UET) in 2019. He joined the VNU Information Technology
Institute (VNU-ITI), Vietnam National University Hanoi (VNU) in
2021. He previously worked at VNU University of Engineering and
Technology (VNU-UET) (2010-2015; 2017-2019) on VLSI design for
multimedia applications and at CEA-Leti, MINATEC, France
(2015-2017) on low-power security hardware and hardware security
for IoT. He has been a principal engineer in various projects on
low-power hardware design for multimedia, security and artificial
intelligence, including VENGME, ADEN4IOT, and SCAI. His research
interests include hardware/software co-design and verification,
embedded systems, low-power solutions for artificial intelligence,
VLSI system/circuit designs for information security and hardware
security.
Prof. Xuan-Tu Tran received a Ph.D. degree in 2008 from Grenoble
INP (in collaboration with the CEA-LETI), France, in Micro Nano
Electronics. He is currently the Director of the Information
Technology Institute – a member university of Vietnam National
University, Hanoi (VNU). He is also an adjunct professor of
University of Technology Sydney, Australia. He was an invited
professor at the University Paris-Sud 11, France (2009, 2010),
visiting professor at Grenoble INP in 2011, visiting professor of
UEC Tokyo in 2019. He was the Director of VNU-key Laboratory for
Smart Integrated Systems (SISLAB) and Co-Director of the Joint
Technology Innovation and Research Centre (JTIRC). He is in charge
of CoMoSy, VENGME, ReSoNoC, IOTA, ADEN4IOT, Secu-IoT projects for
embedded systems and multimedia applications. He has published 3
books and more than 120 papers on international conferences and
journals. His research interests include design and test of
systems-on-chips, networks-on-chips, design-for-testability,
asynchronous/synchronous VLSI design, low power techniques, and
hardware architectures for multimedia applications. He is a Senior
Member of the IEEE, member of IEICE and REV Vietnam.
TECHNICAL PROGRAMME:
DAY 1: Monday 26th February
2024
09h15-10h15 Keynote 1: Integrating the
Remote Use of Visual Information into the Design of a
Communication Situation
By Prof Pierre Duhamel, CNRS L2S Laboratory, Centrale
Supelec, University of Paris-Saclay, France
10h15-10h45 Coffee break
10h45-12h30 Technical
Session TS1 (Full Papers)
chair: Prof Paulo Rego (UFC, Brazil)
Paper 1.1: Towards a
self-management supply chain business processes system
using blockchain smart contracts, Ahmed Zaki
Bennecer, Majed Abu Shamla, Nazim Agoulmine (IBISC,
University of Evry/Paris-Saclay, University, France)
Paper 1.2: Trustworthiness Determination for a
Distributed Reputation Management System in VANETs,
Samira Chouikhi1, Lyes Khoukhi2,
Abdelhakim Senhaji Hafid3, Christophe Rosenberger4
(1: LIS3TN Laboratory, University of Technology of Troyes -
France, 2: Normandie University, ENSICAEN, UNICAEN, CNRS,
CREYG, University of Caen Normandie - France, 3: University
of Montreal - Canada, 4: Normandie Univ, ENSICAEN, UNICAEN,
CNRS, CREYG, Normandie University - France)
Paper 1.3: Systematic Review of
Blockchain-enabled eHealth Applications: Metrics and
Research Opportunities, Maurício Moreira Neto
1,2, Emanuel Ferreira Coutinho1,3, Leonardo Oliveira
Moreira1,4, José Neuman De Souza1, (1: Federal University of
Ceará - UFC- Brazil, 2: Graduate Program (MS and PhD) in
Computer Science (MDCC) - UFC - Brazil, 3: Graduate Program
in Computer Science (PCOMP) - UFC -Brazil, 4: Virtual
University Institute (IUVI) - UFC - Brazil)
16h00-17h00 Keynote
2: Unlocking the Potential of Blockchain in
Healthcare
By Prof Abdelhakim Hafid, University of Montreal,
Canada
DAY 2: Tuesday 27th February 2024
09h15-10h15 Keynote 3: Securing Ultra-Low-Power Internet-of-Things
Applications.
By Prof. Duy-Hieu Bui and Prof. Xuan-Tu Tran, VNU-ITI,
Vietnam
10h45-11h45 Technical Session
3 TS3 (Full Papers)
Chair: Prof. José Neuman De Souza (VNU-ITI, Vietnam
Paper 3.1: Impact of
OpenTelemetry Configuration on Observability and
Telemetry Storage Cost of Microservices-Based
Applications, Francisco Gomes, Vinicius Gabriel,
Paulo Rego, Fernando Trinta, José De Souza (Universidade
Federal do Ceará, Brazil)
Paper 3.2: Intelligent Data-Driven
Architectural Features Orchestration for Network Slicing,
Rodrigo Moreira (Universidade Federal de Viçosa, Brazil),
Flavio De Oliveira Silva (University of Minho,Guimarães,
Brazil), Tereza Cristina Melo De Brito Carvalho (Escola
Politecnica da Universidade de Sao Paulo (USP),Brazil)
Joberto Martins (Universidade Salvador - UNIFACS, Brazil)
11h45-12h30 Technical Session 4 TS4
(Short Papers)
Chair: Prof Joberto Martins (UNIFACS,
Brazil)
Paper 4.1: RANDAO-based RNG: Last
Revealer Attacks in Ethereum 2.0 Randomness and a
Potential Solution, Do Hai Son, Tran Thi Thuy
Quynh (1 : VNU Information Technology Institute, Vietnam),
Le Quang Minh (VNU University of Engineering and Technology,
Vietnam)
Paper 4.2: Blockchain and Smart
Contract for Trusted Decentralized Digital Genomics,
Adnan Imeri (LIST, Luxembourg), Nazim Agoulmine (IBISC,
University of Evry/Paris-Saclay University), Djamel
Khadraoui (LIST, Luxembourg)
14h00-15h30 Short Courses
Chair: Prof Duy-Hieu Bui (VNU-IIT, Vietnam) and Prof Paulo Rego
(UFC, Brazil)
Short Professional Course 1 (room 1):
Introduction to Blockchain Technology: Concept and
Applications By Professor Hakim Abdelhafid, University of
Montreal, Canada (duration: 2x45')
Short Professional Course 2.1 (room 1): Intelligent Network Communication Resource
Allocation with Applications by Prof Joberto Martins,
UNIFACS, Brazil (duration: 45')
Short Professional Course 2.2 (room 2): Introduction to
IoT and MEC (Mobile Edge Computing) Technologies By
Professor Nazim Agoulmine, IBISC Lab, University of Evry /
Paris Saclay University, France (duration: 45')
15h30-16h00 Coffee break
16h00-16h45 : Invited presentation on Research
& Innovation in JGLab
by Prof. Jean-guy Fontaine (JG Lab, China)
DAY 3: Tuesday 28th February
2024
09h15-10h15 VNU Msc Students Technical Session 1 (10' presentation /paper)
Chairs: Prof Trung Nguyen (VNU, Vietnam) and Prof
Pierre Duhamel (CNRS L2S, CentraleSupelec, France)
Paper 1.1: Cross Domain Object
Detection Benchmark, Kien Ho (VNU University of
Engineering and Technology, Vietnam)
Paper 1.2: Deep Learning for Table Detection:
A Comparative Study on Efficiency with Increased Data,
Duy Anh Nguyen, Thanh Ha Do (Hanoi University of Science,
Vietnam)
Paper 1.3: Efficient strategies for federated
learning with communication constraints, Phan Dat,Thi Thai
Mai Dinh (VNU University of Engineering and Technology,
Vietnam), Jocelyn Fiorina (CNRS L2S Laboratory,
CentraleSupelec, University Paris-Saclay, France)
Paper 1.4: Enhancing
Traceability and Debuggability for Iptables-based
Firewalls, Duc Trung Vu, Xuan Tung Hoang (VNU
University of Engineering and Technology, Vietnam)
Paper 1.5: Matérn kernel for continuous
smoothness parameter in Gaussian process based algorithms,
Nguyen Tuyen Hoang (Data Analytic Center, Viettel Telecom
Hanoi, Vietnam), Emmanuel Vazquez (CNRS L2S Laboratory,
CentraleSupelec, Paris-Saclay University), Tran Quoc Long
(FIT, VNU University of Engineering and Technology, Vietnam)
Paper 1.6: Memory Management using USIM, Phong KIEU
(FIT, VNU University of Engineering and Technology, Vietnam)
10h45-11h45 VNU Msc Students Technical Session 2 (10' presentation/paper)
Chairs: Prof Trung Nguyen (VNU, Vietnam) and Prof Pierre Duhamel
(CNRS L2S, CentraleSupelec, France)
Paper 2.2: Rate-Distortion-Classification tradeoff, Le Huy (Msc student Paris-Saclay University, France and VNU-University of Engineering and Technology, Vietnam) , Pierre Duhamel, Armelle Wautier (CNRS L2S Laboratory, CentraleSupelec, Paris-Saclay University, France)
Paper 2.3: Scalable Gaussian Process for Large Datasets, Hoang Van Do (Data Analytic Center, Viettel Telecom Hanoi, Vietnam), Emmanuel Vazquez (CNRS L2S Laboratory, CentraleSupelec, Paris-Saclay University), Tran Quoc Long (IAI, VNU University of Engineering and Technology, Vietnam)
Paper 2.4: Scalable Point Cloud Coding for Reconstruction and Classification, Quoc Anh Le, Vu Ha Le (VNU University of Engineering and Technology, Vietnam), Mohamed-Chaker Larabi (XLIM, UMR 7252, CNRS XLIM, Université de Poitiers, France), Giuseppe Valenzise (CNRS L2S Laboratory, CentraleSupélec, Université Paris-Saclay, France)
Paper 2.5: Securing Channel State Information via Fake Path Injection in SIMO Communication, Trong Duy Tran (Avitech, VNU University of Engineering and Technology, Vietnam), Maxime Ferreira Da Costa (CNRS L2S Laboratory, CentraleSupélec, Paris-Saclay University, Linh Trung Nguyen (VNU University of Engineering and Technology, Vietnam)
Paper 2.6: Developing a Real-time Object Detection System on FPGA, Trung-Kien Nguyen (Viettel Aerospace Institute, Vietnam), Duy-Hieu Bui (VNU-ITI, Vietnam)
12h00-12h45 Networking and discussions with students
12h45-14h Lunch (end of ADVANCE'2024 Technical Programme)
14h00-17h00 Visit of VNU Campus and
Laboratories and Vietnam Museum of Ethnology
Short Professional Course 1: Introduction
to Blockchain Technology: Concept and Applications
Abstract: This short course will
start with an introduction to Blockchain technology; it will
also briefly cover cryptographic primitives and consensus
protocols used to realize Blockchain. It will introduce the
concept of smart contracts which are fundamental to the
implementation of Blockchain applications. It will
present the different categories of Blockchain. Some
Blockchain use cases will be presented. The course will
conclude with presenting the limitations and the future of
Blockchain.
Bio: Abdelhakim Senhaji Hafid is a Full Professor at the University of Montreal. He is the founding director of Network Research Lab and Montreal Blockchain Lab. Prof. Hafid published over 250 journal and conference papers; he also holds three US patents. He supervised to graduation over 50 graduate and postgraduate students. Prior to joining U. of Montreal, he spent several years, as senior research scientist, at Bell Communications Research (Bellcore), NJ, US working in the context of major research projects on the management of next generation networks. Dr. Hafid consulted for a number of companies and startups in North America; he also has been given several talks/keynotes on Blockchain and its applications. He co-founded Tipot Technologies Inc. (Research & Development Platform for IoT). Prof. Hafid has extensive academic and industrial research experience in the area of the communication networks and distributed systems. His current research interests include Blockchain scalability and security, IoT, Fog/edge computing, and intelligent transport systems.
Abstract: The Internet and networks are evolving and expanding their utilization dramatically. New paradigms, new protocols, new intelligent solutions, and large-scale complex systems are emerging in various areas of our daily life. Researchers and engineers need to understand the current network evolution trends and to know what relevant new technologies are involved. This short course discusses network evolution and presents the adoption of Machine Learning, Network Slicing, and Software-defined Networking programming paradigms for communications resources in the context of Smart City projects and other relevant verticals. This will allow comprehension of how new technologies can improve system development and highlight their potential.
Bio: Prof. Dr. Joberto S. B. Martins is a Professor at Salvador University (UNIFACS) and holds a Ph.D. in Computer Science from University of Pierre et Marie Curie - UPMC, Paris (1986). He is also an International Professor at HTW - Hochschule fur Techknik und Wirtschaft des Saarlandes (Germany) since 2003, Senior Research Period at University of Paris-Saclay in 2016, Salvador University head and researcher at NUPERC (Computer Network Group) and IPQoS (IP QoS Group) research groups on Network Slicing, Machine Learning, Resource Allocation, Bandwidth Allocation Models, Software Defined Networking, Intelligent Management, Smart Cities and Smart Grid. Previously worked as an Invited Professor at University of Paris VI and Institut National des Telecommunications (INT) in France and as a key speaker, teacher, and invited lecturer in various international congresses and companies in Brazil, US, and Europe. Member of the Board of Trustees of the Bahia State Research Support Foundation (FAPESB). Member of IEEE Smart City Committees and former member of IEEE Smart Grid Research.
Abstract: This talk aims to introduce the research activities in the IBISC laboratory around IoT, Edge Computing (a.k.a. Fog Computing), Cloud Computing and Artificial Intelligence and how these technologies are changing the game. The convergence of these technologies along with novel data mining and machine learning techniques is allowing the mass collecting of data and efficient reasoning on it to better predict the future, make better diagnosis, detect anomalies. Applications of these technologies in all verticals of the society such as health, transportation, business, etc is transforming in a significant manner the activities of these domains. This talk will give to the participants an insight of these technologies and these advances. This talk is open to specialists but also to novices in the area.
Bio: Nazim
Agoulmine holds a PhD in Computer Sciences from the University
of Paris XI, France. He is a full professor at the university
of Evry Val d'Essonne / Paris Saclay University since 1992 and
a member of the IBISC Research Laboratory. Since Sep 2023, he
is the director of the IBISC research laboratory (+100
researchers). He is also the vice director of the Graduate
School of Computer Science of University of Paris Saclay for
International Relations. From 2019 to 2023, he was vice
president of the University of Evry in charge of International
Relations Strategy and deputy head of the IBISC research
laboratory. From 2011 to 2016, he was on secondment with the
French National Research Agency where he held several
positions: chair and vice-chair of the Digital Sciences and
Mathematics (NuMa) department (2011-2016), director of the
INFRA (Hardware and Software Infrastructures for Future
Internet) programme (2011-2013) and director of the INS
(Digital Engineering and Security) programme (2012). From 2013
to 2011, Prof. N.Agoulmine has directed the LRSM research
laboratory at the University of Evry. Prof N.Agoulmine has
leaded several European research projects in the area of
Networking. Prof. Agoulmine published over 100 journal
and conference papers; He holds several patents in the area of
networking with Orange labs.
