Special session 1: Contemporary Applications of Artificial Intelligence in Wireless Communications
 

 

 

 

 

 

 

 

 

 

 

 

 

Dr. Mobayode O. Akinsolu

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Abstract: The integration of Artificial Intelligence (AI) into wireless communications is rapidly becoming widespread, driven by data-driven and machine-learning approaches. These AI applications are revolutionising various facets of the wireless communications field, ranging from the swift design and optimisation of components such as antennas, filters, power amplifiers, and more, to the comprehensive and robust characterisation and sensitivity analysis of entire systems and networks, including advanced systems like 5G and beyond, as well as software-defined networks. The utilisation of AI techniques presents a promising avenue for addressing numerous design and development challenges encountered in modern wireless communications. These challenges encompass a spectrum of issues, including but not limited to enhancing power and energy efficiency, meeting stringent performance criteria, achieving miniaturisation through low-profile and compact designs, and enhancing the overall reliability of wireless communication devices, systems and networks. This special session aims to compile a collection of review articles, case studies, and original research papers showcasing the diverse applications of AI techniques within the realm of wireless communications. Contributions are sought that exemplify how AI methodologies are being deployed to innovate and refine the design and development processes of wireless communication devices, systems, and networks, catering to the demands of contemporary applications. Researchers and practitioners are encouraged to submit their work highlighting the practical implementations, advancements, and outcomes achieved through the integration of AI in wireless communications. By elucidating these advancements, this session seeks to foster a deeper understanding of the transformative potential of AI in shaping the future landscape of wireless communication technologies.

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Around 5 Related Sub-topics that Fall Under the Special Session:

 

1. Machine Learning-Assisted Performance Optimization of Wireless Communication Devices, Systems and Networks.

2. Behavioral and Sensitivity Analysis of Wireless Communication Devices, Systems, and Networks using Artificial Intelligence.

3. Predictive Modeling Techniques for Advanced Wireless Communication Applications.

4. Streamlining Design Automation in Wireless Communications through Artificial Intelligence.

5. Review of Cutting-edge Artificial Intelligence Techniques for Wireless Communications.

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A Short Bio 

 

Dr. Mobayode O. Akinsolu (IEEE, Senior Member) is a Senior Lecturer (Associate Professor) in Electronic and Communication Engineering at Wrexham University, U.K., a Visiting Scholar at Lead City University, Nigeria, and an External Examiner at the Regional Maritime University, Ghana. He once led a Data Study Group at The Alan Turing Institute, U. K., and has worked as a Research Fellow (Industrial Attaché) and a Visiting Researcher with NASRDA, Nigeria, and RFID Research Centre, Nigeria, respectively. After his undergraduate studies and compulsory national service in Nigeria, he completed his M.Sc. degree with Distinction in Electrical and Electronic Engineering from the University of Bradford, U.K., and his Ph.D. degree in Applied AI (with commendation) on a project (involving the University of Birmingham, U.K., and the University of Bradford, U.K.) from the collaboration between the University of Chester, U.K., and Wrexham University, U.K. He also holds a Postgraduate Certificate (with Distinction) in Learning and Teaching in Higher Education from Wrexham University. His main research interests are applied artificial intelligence, machine learning-assisted optimisation and engineering management. He has published several articles in reputable peer-reviewed journals and international conference proceedings. He is a Chartered Engineer, a Fellow of the HEA (now Advance HE), a member of the IET, and a registered Electrical Engineer with the COREN.

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Special Session 2: Unconventional Technologies in Electronics

 

 

 

 

 

 

 

 

 

 

Dr Snezana Djuric

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Abstract : Recent advances in material science, chemical analysis techniques, device design and manufacturing methods form the foundations for unconventional and sustainable electronics that addresses conformal and nonplanar deformation, eco-friendly and non-toxic materials, implementation of alternative manufacturing technologies, and self-powered properties. Unconventional electronic systems are giving shapes to the shift that transforms traditional electronics into invisible electronics that are structurally integrated where needed for the purpose of smart life assistance, health devices, enhancement human skills, precision agriculture and many other applications in a digitally connected world. To address the challenges posed by climate change, the necessity for biodegradable and nature-inspired electronic materials has recently emerged. These materials contribute to sustainable development, leading to reduced environmental risks. In addition, devices that utilize environmental energy as on-demand power sources for electronics contribute to low energy consumptions and environmental adaptivity. Unconventional approaches in material science and manufacturing methods lead to development of intelligent and shapable electronically enhanced systems with biodegradable and self-powered properties that contribute to sustainable development and low carbon emission. This section will focus on manufacturing processes for materials and electronic devices offering more sustainability and adaptability to environment and circular economy.

 

 

Sub-topics that fall under the special session

 

• Energy harvesting and energy storage in electronics 

• Flexible and printed electronics

• Ultra-thin and stretchable electronic systems

• Biodegradable green electronic materials

• Sensors, biosensors, and actuators using flexible electronics

 

 

A short biography 

Dr. Snezana Djuric is a Research Associate Professor at the BioSense Institute, University of Novi Sad, Serbia. She received a Ph.D. degree in Electrical and Computer Engineering from the Faculty of Technical Sciences, University of Novi Sad, in 2013. Before joining the BioSense Institute in 2015, she worked as a Research Assistant Professor at the Faculty of Technical Sciences, University of Novi Sad. She published more than 40 papers in international journals and conferences. She received a poster award at the Junior Scientist Conference, Vienna, Austria, 2010. She received a scholarship to attend IEEE Magnetics Society Summer School 2011, New Orleans, USA, granted by IEEE Magnetics Society. Her research focuses on wearable electronics, energy harvesting and energy storage devices, computational and applied electromagnetics and EMF monitoring, micro/nanomanufacturing technologies, and simulation and modeling techniques. She has participated in many national and international research projects and has been a reviewer in more than 10 top-tier journals.   

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