جست‌وجوی استاد و پژوهشگر

María Emilia Samit Frenchمشاهده پروفایل

استاد

• Cognitive Rehabilitation
• Educational Technology
• Neuropsychology
• +۶ مورد دیگر

María Emilia Samit French is an international academic with professorships across Argentina, Brazil, and Spain. Currently affiliated with the Universidad Católica de Santa Fe (UCSF, Argentina), Camilo José Cela University (UCJC, Spain), University of the Middle Atlantic (UNIDAM, Spain), and TECH University, she contributes to undergraduate and master's programs. She is also an international PhD candidate in Health Sciences at the Federal University of Rio Grande (FURG, Brazil) through a collaboration with UCSF, Argentina. Bachelor's degree in Psychology Master's degrees in Clinical Neuropsychology, Project Management, Big Data, and Video Game Programming Her research focuses on the intersection of technology and cognitive rehabilitation, particularly leveraging neuromodulation, machine learning, and digital education tools. She has worked with institutions like INECO Neurociencias Oroño (Argentina) and collaborates with the Functional Exploration and Neuromodulation Laboratory of the Nervous System (FENNSI Group, Spain). Recent publications highlight her work in neuroeducation and brain-computer interfaces. She serves on the Research Ethics Committee at UCSF and is affiliated with the American Psychological Association (APA) and the International Parkinson and Movement Disorder Society (MDS). International grant recipient (ICALA: German-Latin American Cultural Exchange) Collaborator in interdisciplinary research projects (Argentina-Italy, Argentina-Spain)

Sergio Antonio Cruces Álvarezمشاهده پروفایل

استاد

• Signal Processing
• Communications
• Brain-Computer Interfaces (BCI)
• +۳ مورد دیگر

Sergio Antonio Cruces Álvarez is a Professor of Signal Processing and Communications at the University of Seville, Spain, affiliated with the Signal Theory and Communications Department and leading the TIC-246 Research Group (Machine Learning Technologies and Digital Information Processing). His work bridges statistical signal modeling, data-driven learning, and applications in brain-machine interfaces and nonlinear behavioral modeling .

• Biomedical Engineering
• Signal Processing
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Rubén Martín Clemente is a Professor in the Department of Signal Theory and Communications at the University of Seville, Spain. His research focuses on biomedical engineering, signal processing, and artificial intelligence, with significant contributions to blind source separation (BSS), fetal electrocardiogram (ECG) extraction, and EEG analysis for cognitive neuroscience. He leads the Biomedical Engineering research group and has participated in numerous national and European projects, including IAREPRO II (AI in assisted reproduction), MARCO-BOLO (coastal biodiversity monitoring), and PID2022-138590OB-C22 (wind turbine structural monitoring). Research Themes : Machine learning for biomedical signal processing, ICA algorithms, cognitive neuroscience applications, and IoT systems for infrastructure monitoring Technical Leadership : Developed RFID-based traffic sign inventory systems and adaptive algorithms for nonlinear source separation His work spans neuroimaging data analysis (e.g., Scientific Reports 2022), energy prediction models (IEEE Access 2023), and smart city applications . Key publications include foundational work on ICA in Springer (2014) and CRC Press (2013). He holds patents for wireless highway inventory systems and has mentored doctoral theses on ICA and image processing. Selected Scientific Contributions 2011: Fetal ECG extraction techniques (IEEE Transactions on Biomedical Engineering) 2022: Reliability analysis of visual processing EEG (Behavioral Brain Research) 2017: L1-PCA/ICA connections (IEEE TPAMI)

Eduardo Iáñezمشاهده پروفایل

دانشیار

• Brain-Computer Interfaces (BCI)
• Human-Robot Interfaces
• Human-Computer Interfaces
• +۳ مورد دیگر

Eduardo Iáñez is an Associate Professor in the Industrial Systems Engineering Department at the Miguel Hernández University of Elche, Spain. He holds an M.Sc. (2007) and Ph.D. (2012) in Telecommunication and Industrial Technologies from the same institution. His research focuses on Brain-Computer Interfaces (BCI) and Human-Robot/Multimodal Interfaces, particularly in non-invasive BCI systems and exoskeleton control. He has led projects funded by the European Union, Spanish Ministry of Economy, and Iberoamerican Programs, including BioMot (2013-2016) and ASSOCIATE (2015-2018). Education: Ph.D. in Industrial and Telecommunications Technologies, Miguel Hernández University (2012) M.Sc. in Telecommunications Engineering, Miguel Hernández University (2008) Research Interests: Eduardo’s work integrates EEG/EOG signals for robot control, exoskeleton-assisted neurorehabilitation, and BCI systems for disabled populations. His projects emphasize practical applications in clinical settings and assistive technologies. Awards: First Best Paper Award at IEEE Systems Conference 2013 (Mental Tasks Selection Method for SVM-Based BCI) Second Best Robotics Thesis Award (2012) for work on non-invasive EEG/EOG interfaces Grants & Projects: Over 10 projects including EU-funded BioMot (smart wearable robots) and national initiatives in neuroprosthetics and BCI development. He has organized conferences like Brain on Art 2017 and the IEEE Systems Conference tutorial on BMI systems. Labs & Teams: Principal researcher in the Brain-Machine Interface Systems Lab at UMH, collaborating on exoskeleton design and neural signal processing innovations.

• Brain-Computer Interfaces (BCI)
• Neurotechnology
• Neural Engineering
• +۱ مورد دیگر

Professor José María Azorín is affiliated with academic institutions involved in BCI and Neurotechnology research. He delivered a talk at the BCI & NEUROTECHNOLOGY SPRING SCHOOL 2023 , indicating active engagement in this field. His professional activities are linked to the BMISLab (as evident from their Twitter handle). Research interests center on BCI systems and neurotechnological innovations, likely involving interdisciplinary approaches in biomedical engineering and neuroscience. No specific educational background, grants, or awards are mentioned in the provided text. The BMISLab affiliation suggests potential involvement in collaborative research projects or lab-based work.

• Brain-Machine Interfaces
• Neurorobotics
• Telerobotics
• +۲ مورد دیگر

Eduardo Iañez Martinez serves as Associate Professor and Department Secretary in the Department of Systems Engineering and Automation at Miguel Hernández University of Elche, Spain. He is a core member of the Brain-Machine Interface Systems Lab (http://bmi.umh.es) and the Institute for Research in Engineering (I3E). His research specializes in neural engineering applications, with primary focus on Brain-Machine Interfaces for robotic control systems. This work intersects with Neurorobotics, Telerobotics, and medical electromechanical systems development. His research integrates control theory with biomedical signal processing to create assistive technologies. Teaching responsibilities span undergraduate and graduate programs including Control Electronics for Telecommunications Engineering, Industrial Computer Systems, Electromedicine, and specialized Robotics courses (Neurorobotics, Telerobotics). He supervises Master's theses in the Robotics program and maintains regular tutorial hours by appointment. Based in the Innova Building on the Elche campus, his work directly supports the university's engineering research initiatives through the I3E institute and BMI laboratory infrastructure.

• Electronics Technology
• Biomedical Engineering
• Human-Machine Interfaces
• +۳ مورد دیگر

José Luis Martín Sánchez is an Associate Professor at the University of Alcalá's Department of Electronics. He holds a Doctorate from the same institution with a thesis on EEG-based human-machine interface design (2017). His research focuses on intelligent systems integration in healthcare, robotics, and accessibility technologies. He leads the GEINTRA research group specializing in electronic engineering applications for smart spaces and transport. His work spans biomedical signal processing, assistive technologies, and telemedicine solutions. Education PhD in Electronics, Universidad de Alcalá (2017) Research Interests His primary areas include human-machine interfaces using EEG signals, robotic mobility solutions (e.g., BCI-controlled wheelchairs), and smart infrastructure design. He develops text-based telephony systems for the deaf community and machine learning models for language prediction in Portuguese and Spanish. His work bridges signal processing with practical applications in healthcare and accessibility. Publications Trends His articles emphasize interdisciplinary approaches combining electronics engineering with healthcare applications. Recent work focuses on balance assessment technologies for ADL monitoring (2023), glaucoma diagnostics via ERG analysis (2015), and BCI improvements for robotic navigation (2010-2005). Earlier contributions address text prediction systems, accessibility services, and multi-object tracking algorithms. Labs/Teams He directs the GEINTRA group, which develops smart space technologies and transport solutions. Collaborations include telemedicine systems and assistive robotics projects.

• Applied Mathematics
• Control Systems
• Power Electronics
• +۳ مورد دیگر

Jose Manuel Rodriguez Garcia is a Professor in the Department of Mathematics at Carlos III University of Madrid, where he also serves as Director of the Mathematics Department. His research focuses on applied mathematics with applications in predictive control systems, power electronics, and renewable energy technologies. Rodriguez Garcia has published extensively on model predictive control techniques for industrial and energy applications.

• Human-Computer Interaction
• Biomedical Signal Processing
• Computer Science
• +۴ مورد دیگر

Bartomeu Estrany Bonnín is a Full Professor in the College of Mathematical Sciences and Computer Science at the University of the Balearic Islands. He holds appointments in both the Computer Science and Artificial Intelligence department and has been affiliated with the institution since 1989. His academic background includes a degree in Computational Science (1987) from Autonomous University of Barcelona and a PhD in Computational Engineering (2002) from University of the Balearic Islands. Member of NEW USER INTERFACES research group Collaborator with LTIM group Participant in Graphics and Computer Vision with Artificial Intelligence unit (UGIVIA) Research focuses on BIOSignals, user interfaces, EOG, BCI, and geolocation technologies, with applications spanning signal acquisition and human-computer interaction. Teaching responsibilities include Programming II, Operating Systems, Databases, and Graphical User Interfaces across multiple campuses (Mallorca, Ibiza, Menorca) and degree programs including Computer Engineering, Mathematics, and Telematic Engineering.

• Biomechanics
• Computational Modeling
• Cellular Mechanotransduction
• +۳ مورد دیگر

Pablo Saez is an Associate Professor of Applied Mathematics at Universitat Politècnica de Catalunya (UPC) and a faculty member at the Institute of Mathematics of UPC-BarcelonaTech (IMTech). His research focuses on integrating physical modeling and computational methods to study the mechanical, chemical, and electrical behavior of biological systems at cellular, tissue, and organ levels. He explores how mechanical signals influence cell behavior and tissue dynamics, particularly in contexts like wound healing, vascular mechanics, and brain tissue properties. Key research themes include cell migration mechanisms (e.g., durotaxis, electrotaxis), mechanotransduction via extracellular matrices, and computational modeling of biological tissues' microstructural adaptations. His work bridges multiscale phenomena from molecular interactions to organ-level mechanics. Recent publications emphasize competing signaling pathways in cell migration, brain tissue mechanics, and adhesion complex dynamics. While no scientific awards are explicitly mentioned, his prolific output demonstrates sustained contributions to biomechanics and computational biology. He leads a lab that develops novel models for understanding mechanobiological processes and their applications in health and disease.

• Cybersecurity
• Distributed Network Management
• 5G Networking
• +۳ مورد دیگر

Gregorio Martínez Pérez is a Full Professor at the University of Murcia (UMU), affiliated with the Department of Information and Communication Engineering within the Faculty of Informatics. He holds a Ph.D. in Computer Science from UMU (2003) and has been a faculty member since 2014. His research focuses on cybersecurity, distributed network management, 5G networking, and advanced computational models. He leads the Intelligent Systems and Telematics research group and has supervised 12 PhD students. Research Interests: Cybersecurity (including attack modeling, IoT security, and BCI cybersecurity) 5G/6G Network Security and Management Machine Learning Applications in Cybersecurity Trust and Reputation Systems Publications: Over 230 articles, with recent work on neural cybersecurity, federated learning frameworks, and hardware fingerprinting. Notable contributions include papers in ACM Computing Surveys, IEEE Internet of Things Journal, and Computer Networks. Grants & Projects: Principal Investigator in EU-funded projects like Hexa-X-II (6G networks), DEFENDER (cybersecurity in IoT/5G), and EU-GUARDIAN (AI-driven cyber defense). Collaborates with entities like the European Defence Fund and INCIBE. Labs/Teams: Co-leads the Cyberdatalab and manages the Intelligent Systems and Telematics research group, actively contributing to cybersecurity innovation and defense technologies.

Marcello Iencaمشاهده پروفایل

استاد

• Artificial Intelligence Ethics
• Neuroscience
• Ethics of intelligent systems
• +۵ مورد دیگر

Marcello Ienca is the inaugural Professor of Artificial Intelligence Ethics and Neuroscience and the Deputy Director of the Center for Ethics and History of Medicine at the Medical School of the Technical University of Munich (TUM). He also serves as the Head of the Intelligent Systems Group at the Swiss Federal Institute of Technology in Lausanne (EPFL). Dr. Ienca's research spans a broad interdisciplinary terrain but focuses primarily on the science and ethics of intelligent systems of both biological and artificial nature. His work bridges neuroscience, artificial intelligence, and ethics, addressing critical questions about how these technologies impact human cognition, autonomy, and society. He has developed influential frameworks for responsible innovation in brain-computer interfaces and contributes significantly to the discourse on AI governance in medical contexts. His scholarly work has been published in top-tier journals including Nature Medicine, Nature Biotechnology, and Nature Machine Intelligence, with coverage in major media outlets such as The New Yorker, The Times, The Guardian, and BBC. Dr. Ienca actively shapes science and technology policy as a commissioned expert for organizations including the OECD, Council of Europe, UN, and EU Parliament. Dr. Ienca holds leadership positions as a board member of the International Neuroethics Society and serves as the Neuroethics Lead of the International Brain Initiative, demonstrating his significant influence in establishing ethical guidelines for emerging neurotechnologies and AI applications in healthcare worldwide.

Pascual González Lópezمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Software Engineering
• Extended Reality (XR)
• +۶ مورد دیگر

Pascual González López is a Full Professor at the University of Castilla-La Mancha, Department of Computer Systems. His research focuses on Human-Computer Interaction (HCI), Software Engineering, Extended Reality (XR), and Digital Twins, particularly in tele-rehabilitation and mental health applications. He leads the LoUISE research group (Laboratory for User Interaction and Software Engineering) and has coordinated numerous EU and national projects. He served as Director of the Albacete Science and Technology Park Foundation from 2002 to 2012, fostering innovation and tech transfer. His work spans over 150 publications in journals like Journal of Ambient Intelligence and IEEE Computer Graphics and Applications , and he holds patents in haptic interfaces and tool monitoring. Key projects include UsiXML (EUREKA), MyMobileWeb (Celtic), and digital twin initiatives in healthcare. Education: B.Sc. and Ph.D. in Computer Science from Universidad Politécnica de Madrid (1986, 1999). He has advised 11 PhD students and contributed to spin-offs like SymbiaIT. His research integrates VR/AR, collaborative systems, and adaptive interfaces, with applications in rehabilitation for ADHD, brain injury, and elderly care. Recent work emphasizes digital twins for prosocial behavior and cybersecurity in AI systems. He serves as editor for journals like Pervasive and Mobile Computing and Expert Systems , and reviews for IEEE and ACM conferences. Awards include leadership in national and international research networks (EuroXR, COST actions) and contributions to Spain’s National Plan projects. Current activities include developing VR tools for surgical training and haptic obstetric simulators.

Alberto Huertas Celdránمشاهده پروفایل

استادیار

• Cybersecurity
• Federated Learning
• Brain-Computer Interfaces
• +۶ مورد دیگر

Alberto Huertas Celdrán is an Assistant Professor at the Department of Information and Communication Engineering, University of Murcia, Spain, and a Postdoctoral Researcher associated with the Communication Systems Group at the University of Zurich. He holds M.Sc. and Ph.D. degrees in Computer Science from the University of Murcia. His research focuses on cybersecurity, federated learning, and brain-computer interface (BCI) security. He has led and contributed to numerous high-impact projects funded by entities like the European Commission, including DEFENDER, EU-GUARDIAN, and SAFEMAN. Key projects include developing frameworks for cybersecurity in smart factories (CYBERTY), resilient IoT device securization (RESERVE), and AI-based cyber defense automation (EU-GUARDIAN). His work spans malware detection, privacy-preserving systems, and decentralized federated learning platforms like Fedstellar. He has published extensively in top venues, including IEEE journals and conferences. Huertas Celdrán has received awards such as the FPI Scholarship (2014) and PostDoc Fellowship (2018) from the Séneca Foundation. He teaches courses in cybersecurity and contributes to research chairs like CyberDataLab. His current research emphasizes secure AI, BCI cybersecurity, and resilient IoT ecosystems.

Sergio López Bernalمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Brain-Computer Interfaces
• Artificial Intelligence
• +۱ مورد دیگر

Sergio López Bernal is a Researcher at the University of Murcia, affiliated with the CyberDataLab. He holds a Ph.D., MSc in Computer Engineering (University of Murcia), and a MSc in Architecture and Engineering for IoT from IMT Atlantique, France. His work focuses on cybersecurity, brain-computer interfaces (BCI), AI, and data analysis. Education: BSc in Computer Engineering, University of Murcia MSc in Computer Engineering, University of Murcia MSc in Architecture and Engineering for IoT, IMT Atlantique, France Research interests include defending against neural cyberattacks on BCI systems, federated learning frameworks (e.g., Fedstellar), and enhancing cybersecurity in IoT/5G environments. He has contributed to projects like DEFENDER (cybersecurity in IoT/5G labs), CDL-TALENTUM (cybersecurity training), and VALKYRIES (cross-border disaster management). Key projects and grants include: EU-GUARDIAN (€13M): AI-based cyber defense for incident management VALKYRIES (€5.9M): Harmonizing emergency response protocols CDL-TALENTUM (€1.2M): Cybersecurity and data science training His work on BCI cybersecurity has explored vulnerabilities in visual cortex stimulation, drowsiness detection via EEG, and mitigating threats in decentralized learning systems. He collaborates on frameworks like NeuronLab for biosignal analysis and Fedstellar for federated learning.