Thematic Session 15

THEMATIC SESSION #15

Andrea Monteriù

Polytechnic University of Marche, Italy

• a.monteriu@univpm.it

Karameldeen Omer

Polytechnic University of Marche, Italy

• k.i.m.omer@univpm.it

Brain-computer interfaces (BCIs) hold immense potential for assistive technology, yet significant challenges remain in transitioning these systems from controlled lab environments to practical, real-world applications. This thematic session focuses on developing new methodologies for realistic BCI paradigms that enhance usability, reliability, and accessibility. Key topics include improving experimental design and stimuli presentation to create intuitive, user-friendly systems that reduce mental workload and human effort. Special attention will be given to optimizing electrode placement, and minimizing the number of required sensors while maintaining sufficient signal quality for real-world tasks. Additionally, this session will explore strategies for enhancing conventional methods to meet the practical challenges of deploying BCIs beyond research settings. By integrating advances in signal processing, machine learning, adaptive calibration, and hybrid control approaches, this session aims to drive innovation toward efficient, scalable, and user-centric BCI solutions. Contributions that focus on real-time adaptability, improved robustness, and seamless human-robot interaction are highly encouraged

Topics of Interest:

• Development of realistic and practical BCI paradigms for daily-life applications.
• Enhancing experiment design and stimuli presentation for better usability.
• Reducing mental demand and user effort in BCI-based assistive systems.
• Minimizing electrode count while maintaining robust signal acquisition.
• Translating BCI from lab to real-world scenarios through improved algorithms and hardware.
• Adaptive and efficient BCI control strategies for assistive robotics.
• Performance metrics and metrology for real-world BCI validation.

Andrea Monteriù is an Associate Professor in Systems and Control at Università Politecnica delle Marche where he is also the Principal Investigator of the Laboratory of Artificially Intelligent Robotics (LAIR). His thesis was developed at the Department of Automation at the Technical University of Denmark. In 2005, he was a visiting researcher at the Center for Robot-Assisted Search & Rescue at the University of South Florida, where he developed part of his PhD thesis. His research interests mainly focus on robotics and intelligent autonomous systems, assistive and service robotics, assistive technologies, and fault-tolerant diagnosis and control applied to intelligent robotic systems.

Karameldeen Omer is a Postdoctoral Researcher at the Laboratory of Artificially Intelligent Robotics (LAIR) at Università Politecnica delle Marche and a lecturer at the University of Khartoum’s Mechanical and Mechatronics Engineering Department. His research focuses on intelligent autonomous systems, assistive and service robotics, and brain-machine interfacing (BCI). He has expertise in robotic control and technologies and contributed to research institutions in Italy, the Netherlands, and Spain. His work has earned academic recognition for advancing AI-driven assistive robotics to enhance human-robot interaction and quality of life.