1) Prof. Maurizio Bozzi, University of Pavia, Italy

Microwave Sensors: Novel Techniques, Topologies, and Manufacturing Technologies

Abstract: This paper presents and overview of the recent advances we made in the field of microwave sensors. Sensors for different physical quantities are presented, ranging from structures for the retrieval of the electric and magnetic characteristics of materials, to devices for the determination of position and angular rotation. These sensors are based on various fabrication technologies, including planar structures, additive manufacturing, and hybrid solutions, which take advantage of the best features of different technologies.

2) Prof. Jialin Cai, Hangzhou Dianzi University, China

Machine learning based technique used for modeling and optimization of RF PA

Abstract: With the increasing complexities of the wireless communication systems, such as 5G/6G systems, coupled with shorter design cycles, there is a great demand for modeling and design methodologies that are both accurate and fast at the same time. However, these contradictory requirements are extremely challenging with conventional computer-aided design (CAD) techniques. In recent years, there has been a significant increase in employing artificial intelligence (AI) and machine learning (ML) approaches for the modeling and design of electronic devices, circuits, including nonlinear device modeling, power amplifier (PA) behavioral modeling, digital predistortion design, passive circuit design and optimization, antenna design and optimization, PA design and optimization.

3) Prof. Jacopo Iannaci, Fondazione Bruno Kessler (FBK), Trento, Italy

Prospects of Micro/Nano technologies in the 6G scenario with focus on RF-MEMS

Abstract: Looking at 2030 and ahead, 6G and Future Networks (FN) will relentlessly increase the variety of services on the move and provide immersive experience to end-users. After identifying and putting together performance trends and technology constraints already ongoing today with 5G, this contribution states that the well-established currently in use approaches to design and develop Hardware-Software (HW-SW) systems, are inappropriate to meet the challenges of 6G/FN. In response, a fresh concept of SW-mimicking HW is formulated here. The novel HW definition embodies features typically implemented by more complex HW-SW sub-systems, like, e.g., self-management, and it is forecasted to be crucial to empower 6G/FN, especially at the network edge. Microtechnologies and Nanotechnologies are identified as pivotal to this target. Given such a frame of reference, the contribution focuses on RF-MEMS technology as an enabling tile in the identified complex scenario. To this end, recent advances at design and fabrication level are reported, with particular reference to key passive components, like micro-switches, reconfigurable step attenuators and multi-state phase shifters

4) Prof. Aleksandar Jevremović, Singidunum University, Serbia

AI in HCI: To Serve and Protect

Abstract: The rapid development and progress of artificial intelligence algorithms in the last decade has opened up many new possibilities and fields for its application. The field of human-computer interaction is not only not an exception, but it can also be considered a veteran. In this paper, we will summarize the current conditions, trends and experiences in this area.

5) Matteo B. Lodi, University of Cagliari, Italy

Modelling of Magnetic Scaffolds for RF Hyperthermia of Deep Seated Tumors

Abstract: Deep seated tumors are neoplasms grown in challenging sites that call for innovative interventional strategies. Thanks to the development of magnetic nanocomposite biomaterials, multifunctional electromagnetic-responsive thermoseeds, called magnetic scaffolds, can be used as hyperthermia agents to control the local recurrence rate of deep seated cancers through radiofrequency (RF) heating. To achieve an effective and high quality treatment, the planning through multiphysics simulations is mandatory. A computational framework for solving the coupled electromagnetic and thermal phenomena ruling the RF heating of magnetic scaffolds will be presented and used to study different biomaterials, physiopathological scenarios and applications.

6) Prof. Olga Borić-Lubecke, University of Hawaii at Manoa, USA

Radar Occupancy Sensing and Monitoring for Smart Buildings

Abstract: Smart buildings promise to adapt environmental conditions to the needs of occupants based on statistical analytics applied to various monitored data. While sensors for accurate monitoring of building parameters such as temperature, lighting, and air-quality abound, sensors for occupant presence and comfort are wanting. Doppler radar sensors have shown great promise for unobtrusive recognition and monitoring of occupant presence, count, activity, and cardiopulmonary vital signs. With such measures, a smart building can optimize operations not only for the most efficient use of energy and space, but also to create healthy and sustainable environments that support occupant wellness, comfort, and productivity. This paper presents an overview of emerging sensors and systems redefining the concept of human-building interactive systems.

7) Prof. Victor Lubecke, University of Hawaii at Manoa, USA

Radar Monitoring in Sleep Medicine

Abstract: Good overall health depends on and affects one’s sleep quality. Insufficient or disordered sleep decreases cognitive function and predisposes patients to hypertension, stroke, and heart disease. An overnight sleep study can provide vital health diagnostics yet typically involves applying and monitoring multiple body-contact sensors, which can interfere with sleep and require cumbersome manual data analysis. Doppler radar technology has been demonstrated to provide a non-invasive means of measuring vital signs through clothing and bedding, including respiratory rate, heart rate, activity, body position, and tidal respiratory volume. This paper examines the potential for applying physiological radar to assess sleep apnea in a manner suitable for aiding patients and their caregivers in developing effective intervention strategies.

8) Prof. Alessandra Costanzo, University of Bologna, Italy

WPT and energy harvesting techniques for Batteryless RF/microwave systems