2023 7th International Conference on Communication and Network Technology

Plenary Speaker

Professor Mahmoud Shafik
University of Derby, UK
Bio: Professor Mahmoud Shafik is an international scholar and expert who has made a personal distinction and international leadership recognition, in the field of Intelligent Mechatronics Systems and Digital Technology, with more than 20-years industrial applied research experience in Intelligent Systems, Industrial 4.0, Artificial Intelligence (AI), Internet of Things (IoT) and Internet of Everything (IoE), Fly, Drive and Steer-by-wire, 3D Smart Sensors and Actuators for Autonomous Vehicle, Robotic Systems and Industrial Automation, Machine Vision, Innovation for Sustainable Engineering, Cancer Treatment using CVD Diamond Radio Therapy Technology, Information Technology for Blind and Visually Impaired people, Chronic Diseases ICT Technological Solutions, Assisted Living Technology, AD-HOC Wireless Technology, TeleHealth, Telecare, Climate Change, Electro-Rheological Fluid Micro Actuators Technology and Software Tools. Shafik has also a number of patents in these areas of industrial applied research and sustainable technology.
Shafik has been chairing and leading several industrial applied research projects from European Commission, and UK Research Councils, of a budget of several millions of euros and have made a great economic and social impact in his area of expertise in across the world. His research work has brought many innovative outcomes that have been commercially explored by several Small to Medium (SME’s) and large enterprise (LE’s) organisations. This includes and not limited to: Intersurgical Ltd – UK, Veslatec Oy – Finland, Semelab plc. – UK, PTW Freiburg – Germany, Neotek – France, Kirchmayer Handel & Consulting GmbH – Austria, Spectrum Telecom Installations Ltd – Ireland, Diamond Materials GmbH – Germany, Fireworks International Ltd – UK, Pirotecnia Oscense SA – Spain, Total Motion Systems Ltd –UK, Micromech Limited – UK, Smart Technology Ltd – UK, Audi -Germany, Ford – UK, Schlumberger – France, Nissan – Japan and Rolls Royce - UK.
Shafik is the founder of International Journal of Robotics and Mechatronics-url: http://ojs.unsysdigital.com/index.php/ijrm, Editor-In-Chief of both Journal of Traffic and Logistics url: http://www.jtle.net/ and International Journal of Mechatronics Engineering - https://www.svedbergopen.com/journals/ijme/about-the-journal/. He is chairman of the 2022 and 2021 of International Conference On Manufacturing Research: http://www.icmr.org.uk/). He is serving as a chairman and plenary speaker of International Conference on Intelligent Traffic and Transportation (ICITT), http://www.icitt.org/, International Conference in Communication and Network Technology - http://www.iccnt.org/index.html, and Co-general Chair of International Conference Mechanical Engineering and Robotics Research - http://www.icmerr.com/index.html.
Shafik is the Senior lead academic of College of Science and Engineering - University of Derby home and international collaboration programs - http://www.derby.ac.uk/. He has been supervising and external examiners for several PhD, and MSc research programmes across worldwide. He is a visiting professor and curriculum consultant for a few universities in EU, Japan, China, and Middle East. He is also a committee member of The Consortium of UK University Manufacturing and Engineering (COMEH) for the Engineering Professors’ Council and is serving as an Assessor and Knowledge Transfer Expert for the UK Knowledge Transfer Network, EPSRC, Innovate-UK and EC Research Programmes.
For more information of Professor Shafik profile, career, achievements and selected publications please visit: https://www.linkedin.com/pub/mahmoud-shafik-ph-d/7/237/60 & https://www.researchgate.net/profile/Mahmoud_Shafik.

Speech Title: Intelligent Traffic, and Transportation Challenges: Towards Self-learning Vehicles, is Imitation Learning the Future of our Industry?!

Abstract: Intelligent Traffic, and Transportation (ITT) using smart digital tools are developing very rapidly. As they are the greatest approaches to strengthen transportation network potentials, enhance mobility, and increase productivity. However, there are significant technical challenges with intelligent traffic, and transportation technology, gaps between what the current industrial systems are offering and industrialist expectations. Industrial applied research programmes are certainly playing major rules in this interesting area and there are several ongoing research initiatives these include, self-learning vehicles using Artificial Intelligence (AI) and Imitation Learning (IL), Internet of Things (IoT), Internet of Everything (IoE), Real Time Interconnection Devices and Deep Integration, Mass Information, Data Handling and Security, Battery, and Battery Management System (BMS) technologies …etc. This talk will explore some of the current challenges with intelligent traffic, and transportation systems, vision of the future self-learning vehicles solution platform using Artificial Intelligence (AI) and Imitation Learning (IL), and adaptation of green technology to deal with the current climate changes challenges and meet the world zero carbon agenda in 2050. The talk will be concluded with some of the under development industrial applied research programmes, which present few fresh areas of industrial applied research for future autonomous vehicles applications in smart cities.


Keynote Speakers


Prof. Alexey Vinel
Karlsruhe Institute of Technology (KIT), Germany
Bio: Alexey Vinel (1983) has been a professor with the School of Information Technology, Halmstad, Halmstad University, Sweden, since 2015. He was professor II at Western Norway University of Applied Sciences, Bergen, Norway in 2018-2021. He received the Ph.D. degrees from the Tampere University of Technology, Tampere, Finland, in 2013, and from the Institute for Information Transmission Problems, Moscow, Russia, in 2007. He is the Senior Member of IEEE (2012). His areas of interests include wireless communications, vehicular networking, and cooperative autonomous driving.

Speech Title: Autonomous Vehicles: Wireless Networking for Cooperative Maneuvering

Abstract: Elon Musk twitted some time ago that he had realized that self-driving cars are a "hard problem". We believe that enabling communication between the vehicles is an essential necessary step for cracking this problem in context of fully autonomous urban driving. We will share some of our recent research results on autonomous vehicles with a focus on inter-vehicular networking and respective cooperative driving functionalities. We will explain the approach of assessing the safety of the cooperative driving functions by coupling the quality of radio communications to the likelihood of a rear-end collision.



Prof. Gang-Len Chang

Director, Center for Traffic Safety and Operations
Chief Editor, Journal of Urban Planning and Development, ASCE
Chief Series Editor, Springer Tracts on Transportation and Traffic

University of Maryland, USA

Bio: Gang-Len Chang (M’13) received the B.Eng. degree from National Cheng Kung University, Tainan, Taiwan, in 1975, the M.S. degree from National Chiao Tung University, Hsinchu, Taiwan, in 1979, and the Ph.D. degree in transportation engineering from The University of Texas at Austin, Austin, TX, USA, in 1985. He is currently a Professor with the Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA. His current research interests include network traffic control, freeway traffic management and operations, real-time traffic simulation, and dynamic control of urban systems. Dr. Chang is a member of the American Society of Engineers. He has served as the Chief Editor for Journal of Urban Planning and Development (ASCE) over the past 13 years.

Speech Title: A Low-cost Intelligent Intersection Design for Preventing Angled and Rear-end Crashes

Abstract: To improve traffic safety at high-speed signalized intersections, this study has developed a low-cost but intelligent system to minimize angled crashes with its Dynamic All-Red Extension (DARE) and prevent rear-end collisions with the embedded Dynamic Green Extension (DGE). To allow field operators to best use such an efficient safety-based signal control design, the proposed system offers the flexibility to function within various field deployment constraints. By using the special logic gates in the wide-range radar sensor, the system’s detection module can project the number of vehicles in the dilemma zone over subsequent green extension times and use such information to optimize the extension decision. For those aggressively running over the intersection during the all-red phase, the system will activate its all-red extension function to hold back the green phase for the side-street and thus prevent potential side-angled crashes. The deployment results from two field studies show that the system has produced a protection rate of 100% for potential side-angled crashes at a false alarm rate of 7.3%-11.7%. Its DGE module has achieved the optimal decision rate of 81.3%. The number of vehicles trapped in the dilemma zone has also been reduced by 17.9 to 18.5%, respectively, in two subsequent field assessments.


Prof. José Paulo Lousado
Polytechnic Institute of Viseu, Portugal

Bio: José Paulo Lousado is a researcher and currently Coordinating Professor at the Polytechnic Institute of Viseu, Portugal. He holds a PhD in computer engineering from DETI / University of Aveiro, and a master's degree in science, technology and innovation management from DEGEI / University of Aveiro. He has a degree in Mathematics / Informatics from the University of Beira Interior – Covilhã, Portugal. Since 2002 he has been teaching at the Escola Superior de Tecnologia e Gestão de Lamego (ESTGL), Instituto Politécnico de Viseu, Portugal, where he currently teaches courses on systems analysis and design, computer programming, database management systems. He is currently the coordinator of the Master in Information Technologies and Automation. He was the Research Manager of the NORTE-01-0145-FEDER-023623 project (funded by the European Union). His areas of interest are programming, systems analysis, ubiquitous and pervasive systems, microcontroller programming, sensor networks, bioinformatics and e-learning. He is on the scientific board of several scientific journals and regularly collaborates as a reviewer in several conferences and scientific journals. He is currently a member of the DIH Connect5 team, funded by the European Union). He is an IEEE Senior Member and is also a member of the IEEE SMC society.

Speech Title: SVBOX: Switch Video BOX for Monitoring and Protection of the Elderly and their Residences

Abstract: The COVID-19 pandemic has shown poor communication between people, especially the elderly living in heavily deserted and depopulated agricultural regions. This is a reality present in Portugal and all over the world, where there are technological and physical barriers that prevent these older adults, the most vulnerable people, from having easy access to essential goods, food, and medicines, among others, and are also exposed to risky situations, such as theft and fraudulent activities. Bearing in mind that the best company for older adults is television, we propose the development of a system called SVBOX (Switch Video Box), which includes the design and proof of concept of an electronic system that allows the integration of various equipment, including video intercom, designed to be an active surveillance device, with the integration of the video intercom system with the internal network of sensors in the home, for monitoring living conditions and security, detecting fire, flooding, toxic gases, among others, using the television as the main means of communication and sensors to monitor the vital signs and health status of older adults. This system has growth potential, with several applications in real security and protection contexts, namely in security environments and monitoring of health conditions.

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