Call for Papers

SCSE 2021 - The First Call for papers is now open.

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Important Dates

Paper submission deadline:
July 15 , 2021 (Extended)

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Committees

Take a look at our committees for the SCSE 2021!

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Topics of Interest

The conference will be organized into tracks with different topics.

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Introduction

SCSE 2021 is a forum for the exchange of ideas, techniques, and state-of-the-art applications in the fields of computer science & engineering among scientists, engineers, and practitioners. For SCSE 2021, we will provide a friendly environment where researchers can discuss current and future trends in research areas such as Applied Artificial Intelligence, Image Processing and Visualization, Embedded Systems and VLSI Design, High Performance Computing, Internet of Things, Network and Service Management and other interesting topics.

SCSE 2021 will be held in Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet street, District 10, HCMC, Vietnam.

Full-accepted papers will be published in a special issue of REV Journal on Electronics and Communications, published by The Radio and Electronics Association of Vietnam, ISSN: 1859-378X.

Research papers should describe original work that has not been submitted (or accepted) for publication elsewhere. They will be evaluated based on their scientific and technical contribution, originality, and relevance. Submissions of regular research papers must be in the PDF format (2-column, no more than 8 pages).
Both word and latex templates can be downloaded here . Upon formal acceptance of a manuscript for publication, instructions for providing the final materials required for publication will be sent to the Corresponding Author. Final version of a paper accepted for publication in the REV-JEC journal should be prepared in LaTeX.
The submission Web page for SCSE2021 is https://easychair.org/conferences/?conf=scse2021

Invited Talks

Prof. Koichiro ISHIBSHI
The University of Electro-Communications, Tokyo, Japan

MCU Process Vital Sign Acquisition using Contactless Doppler Radar

Abstract

Recently a lot of researchers have investigated Vital Sign Acquisition by Medical Doppler Radar. The vital sign can be acquired contactless manner so that we can easily acquire the vital signs rather than contactless system such as ECC or PPG. This paper demonstrates the signal processing of the vital sign signals on time domain and peak detection. The process is so light that low performance MCU can process them to acquire the vital signs at fast time.

Biography of Prof. Koichiro ISHIBSHI

Dr. Koichiro Ishibashi has been a professor of The University of Electro-Communications (UEC), Tokyo, Japan since 2011. He has been the Director of UEC ASEAN Research and Education Center (UAREC) since 2017. He has been serving a guest professor at Ho Chi Minh City University of Technology and Ho Chi Minh City University of Science since 2012.

After receiving PH. D degree from Tokyo Institute of Technology in 1985, he worked at Central Research Laboratory, Hitachi Ltd., at Semiconductor Technology Academic Research Center (STARC) and at Renesas Electronics, where he had investigated low power technologies for high density SRAMs and MCUs. Since 2005, he has been a Fellow of IEEE for the technical contributions to developments of low-power SRAMs and MCUs.

He has presented more than 200 academic papers at international conferences and journals including more than 20 invited presentations. He was awarded R&D 100 for the development of SH4 Series Microprocessor in 1999.

His current interests are IoT technologies including Ultra low power LSI design technology, Technologies for energy harvesting sensor networks and applications, and Biomedical electronics using contactless sensors and data processing by AI.

Dr. DIEP NGUYEN
University of Technology Sydney, NSW, Australia

AI-empowered Edge Computing with Efficient and Secure Distributed Learning

Abstract

By “moving” computing resources closer to users and infrastructure, edge computing has become an enabler of new emerging services and smart infrastructures like intelligent transportations, industry automation, real-time gaming, virtual/augmented reality. This talk explores how recent advances in distributed learning (DL) can empower edge computing to turn existing infrastructure into smart one with augmented intelligence. Specifically, we first discuss hurdles like low-latency requirement, straggling effect, and users’ security-related risks of DL in wireless edge networks. We then present potential solutions by leveraging coded computing, network economics to address the straggling problem, protect users' privacy, and incentivize users to efficiently contribute to the learning process. We will also present an in-network computation framework to enable large-scale distributed learning systems in wireless edge networks.

Biography of Dr. DIEP NGUYEN

Diep N. Nguyen (Senior Member, IEEE) received the M.E. degree in electrical and computer engineering from the University of California at San Diego (UCSD) and the Ph.D. degree in electrical and computer engineering from The University of Arizona (UA). He is currently a Faculty Member of the Faculty of Engineering and Information Technology, University of Technology Sydney (UTS).

Before joining the UTS, he was a DECRA Research Fellow at Macquarie University, and a member of Technical Staff at Broadcom, CA, USA, and ARCON Corporation, Boston, consulting the Federal Administration of Aviation on turning detection of UAVs and aircraft, U.S. Air Force Research Lab on antijamming.

His current research interests include computer networking, wireless communications, and machine learning applications, with an emphasis on systems performance and security/privacy. He has received several awards from LG Electronics, UCSD, UA, U.S. National Science Foundation, and Australian Research Council. He is an Editor, Associate Editor of the IEEE TRANSACTIONS ON MOBILE COMPUTING, IEEE ACCESS, IEEE SENSORS JOURNAL, and IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY (OJ-COMS).

Industry Workshop: Digital Transformation - Practical Views

Time: 15:00 – 17:30, October 22, 2021

Venue: Google Meet (Link Coming Soon)


Program Chair

Assoc. Prof. Nam Thoai

Director of iST - HCMUT
Head of High Performance Computing Lab - HCMUT

Towards a Modern Supply Chain Management Platform

Mr. Lai Duc Nhuan

Chairman, CEO of ATALINK
Chairman of LARION Computing
Co-founder of MEPERIA
HG

Managing Enterprise’s Content in Digital Transformation

Mr. Ho Thai Truong Giang

Co-founder of EyeQ Tech
Co-founder of INTELIN TECHNOLOGY CORP
Used to be Manager of IT and
Operations Departments of ACB

Digital transformation: Trends, Challenges/Opportunities and Practices

Mr. Phan Thanh Son

Director, Strategic Business, FPT Corporation
Chief Business Development Officer,
FPT Information Systems

Digitial Transformation in Business Administration – Practical Applications

Dr. Quach Ngoc Long

Founder and CEO of WORKIT
Founder and CEO of EPACIFIC

Topics of Interest

The topics of interests include but are not limited to the tracks listed as follows:


Applied Artificial Intelligence

Track 1

  • Practical applications of Artificial Intelligence in the following, but not limited to, areas.
  • Computer Vision
  • Natural Language Processing
  • Machine Learning and Deep Learning
  • Voice Processing
  • Bioinformatics
  • Biomedicine
  • Blockchain Technologies
  • Smart Data Services
  • Smart Data Networking
  • Data, Information & Semantic Models
  • Visualization Analytics
  • Time Series Processing
  • Software Engineering
  • E-learning and E-services
  • Digital transformation


System Architectures, Design, and Applications

Track 2

  • Multi/Many-core Architectures and Applications
  • IoT Architectures and Technologies
  • IoT-Enabled Smart Cities
  • Accelerated Big Data Systems
  • Embedded Systems
  • Parallel and Distributed Computing
  • Hardware Accelerator Computing
  • Rebooting Computing
  • Communication Network and Security
  • Other in Embedded Systems and VLSI Design


Network and Service Management

Track 3

  • Network Virtualization
  • Software-Defined Networking
  • Network Programmability
  • Cloud Computing Services
  • Content Delivery Services
  • Social Networking Services
  • Management & Orchestration
  • Fog and Mobile Edge Computing
  • Lambda Functions and Elastic Management
  • Data Analytics for Management
  • Scheduling and Resource Management
  • Peer-to-Peer Applications and Algorithms
  • Cloud Computing Security
  • Network Security
  • Network Measurements
  • Other topics in Network and Service Management

Full-accepted papers will be published in a special issue of REV Journal on Electronics and Communications, published by The Radio and Electronics Association of Vietnam, ISSN: 1859-378X.

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