Exploring Frontiers, Creating Futures, Applying Knowledge
Dedicated to exploring the limits of knowledge, forging new paths toward the future. This is our group, and this artificial intelligence is yours to discover and empower.
Computer Vision
Unleashing the Power of Sight: Dive into the cutting-edge realm of Computer Vision with our deep learning research group. We explore and innovate at the intersection of artificial intelligence and visual perception, paving the way for machines to understand, interpret, and interact with the visual world. Discover the transformative possibilities as we push the boundaries of Computer Vision technology.
Artificial Intelligence
Embark on a Journey of Intelligent Innovation: Explore the forefront of Artificial Intelligence with our deep learning research group. Committed to advancing the frontiers of machine intelligence, we delve into transformative research to create intelligent systems that learn, adapt, and redefine the future. Join us in shaping the next era of AI innovation.
Signal Processing
Unlocking the Symphony of Data: Delve into the realm of Signal Processing with our deep learning research group. We specialize in deciphering, enhancing, and extracting insights from complex signals. From audio to images, we apply advanced techniques to process and interpret data, pushing the boundaries of deep learning in signal analysis. Explore the fusion of technology and data harmony with us.
Connecting Tomorrow’s Tech Today: Bridging Innovation from Research to Industry
Welcome to DeepKnowledge: A Frontier in AI Research at the University of Seville.
DeepKnowledge, our esteemed research group, is dedicated to advancing the field of artificial intelligence. Based at the University of Seville, we specialize in cutting-edge research across diverse domains, including computer vision, image detection and classification algorithms, biomedical signal processing, and virtual reality.
Our team is at the forefront of innovation, exploring the depths of artificial intelligence to develop robust solutions for real-world challenges. From enhancing visual perception through computer vision to pioneering algorithms for image detection and classification, our work extends to the intricate realm of biomedical signal processing and the immersive experiences of virtual reality.
Join us on this journey of knowledge and discovery as we contribute to the evolution of artificial intelligence, shaping a future where technology seamlessly integrates with human needs. Explore the possibilities with DeepKnowledge, where intelligence meets innovation.
Empowering Tomorrow’s Innovators: Unveiling the Core Values of Our Multidisciplinary Research Team.
At Deep Knowledge Research Group, we stand as a dynamic force, fueled by the collective passion of bright young minds dedicated to shaping the future through groundbreaking research. Our team is built on a foundation of strong values that define our moral compass, work ethic, and unwavering ambition.
Innovation and Practical Application: We believe in the transformative power of ideas. Rooted in a commitment to practical application, our diverse team of young researchers thrives on turning innovative concepts into tangible solutions. From cutting-edge algorithms to real-world applications, we bridge theory with practicality, ensuring our work leaves a lasting impact.
Collaboration and Team Spirit: In our vibrant community, collaboration is not just a buzzword; it’s our driving force. With a spirit of unity, our team synergizes across disciplines, embracing diversity to unlock new perspectives. Together, we foster an environment where every voice is heard, and collective ambition propels us to new heights.
Ethical Excellence: Integrity is at the heart of our endeavors. Our commitment to moral values underscores every decision and action. We conduct research ethically, valuing transparency, honesty, and the responsible use of technology. As young researchers, we understand the weight of our contributions and strive to make positive, ethical impacts on society.
Work Ethic and Determination: Hard work is our mantra. Committed to excellence, our team exemplifies a strong work ethic and unwavering determination. We embrace challenges as opportunities, channeling our passion into rigorous research that pushes the boundaries of what is possible.
Ambition for Impact: We are driven by a shared ambition: to make a difference. Our young researchers are not just dreamers; we are doers. With an eye on the future, we aim to revolutionize industries, advance knowledge, and create a positive impact on the world through our multidisciplinary approach.
Welcome to our Multidisciplinary Research Hub: Where Mathematics and Computer Science Converge for AI Excellence.
At Deep Knowledge Research Group, we embody a dynamic fusion of mathematical precision and computational ingenuity, crafting a unique identity in the realm of artificial intelligence research. As a mid-sized team, we thrive on the synergy of diverse minds, where collaboration is not just encouraged but essential to our success.
Our core values define the essence of our group:
- Innovation: We foster a culture of continuous innovation, where mathematical theories meet cutting-edge engineering solutions to drive advancements in artificial intelligence.
- Collaboration: Bridging the gap between mathematics and computer science, our researchers collaborate seamlessly, leveraging a diverse range of expertise to tackle complex AI challenges.
- Excellence: Committed to excellence, we pursue a standard of quality in both our theoretical frameworks and practical implementations, ensuring our contributions stand at the forefront of AI research.
- Interdisciplinary Approach: Embracing the power of collaboration, we believe in the strength of an interdisciplinary approach. Our mathematicians and computer scientists work hand in hand, enriching each other’s perspectives and driving holistic advancements in AI.
- Impact: We measure our success by the real-world impact of our research. Whether it’s developing novel algorithms, advancing machine learning techniques, or solving industry-specific challenges, our goal is to make a meaningful contribution to the field of artificial intelligence.
- Detección automática de IndividuoS ARMados – US (PDC2021-121197-C21)
- Sistema híbrido de reconocimiento de objetos para la búsqueda de armas (PID2021-126359OB-I00)
- TAL.IA: TrAducción de la Lengua de signos mediante Inteligencia Artificial (P20_01213)
- Vision and Crowdsensing Technology for an Optimal Response in Physical-Security (TIN2017-82113-C2-1-R)
- Healthy and Efficient Routes in Massive Open-Data Based Smart Cities-Citizen (TIN2013-46801-C4-1-R)
- Solución sanitaria movil basada en el perfil genético, análisis de imagen y monitorización continua de síntomas para el manejo personalizado de pacientes con enfermedad de Parkinson (GiMO-PD) (RTC2019-007150-1)
- La Formación a Través de Dispositivos Móviles. Diseño y Evaluación de Contenidos y Actividades Formativas a Través de M-Learning (P11-TIC-7124)
- Simon. Saving Energy by Intelligent Monitoring (P11-TIC-8052)
- Arquitectura para la eficiencia energética y sostenibilidad en entornos residenciales (TIN2009-14378-C02-01)
- INTEGR@:Integración de Servicios y Nuevas Tecnologías en el Alojamiento del Cliente dentro de un Espacio Turístico (P033-09/E05)
- Auditoría de la arquitectura Técnica y Sistema de Gestión de la Configuración del Sistema Séneca (EXP. 55-07)
- ATENEA, Arquitectura Middleware y Herramientas. (FIT-340503-2007-1)
- Sistema de CUidados UBICuOs y asistencia controlado por familiares y centros médicos para personas con dependencias-CUBICO (P06-TIC-02141)
- Plataforma integral para la interacción entre familiares y centros médicos para la atención telemática a personas con dependencias (TSI2006-13390-C02-02)
- Metodologías y arquitecturas para la difusión electrónica de información en la red (TIC2000-1673-C06-03)
- Accelerated Processing in edge computing platforms for Metrology in the Semiconductor area (P006-22/E17)
- Development of improved caregiver to senior and caregiver to child abuse prediction models based on the EyeKnow’s available datasets (P008-22/E17)
- Predicting violence in real environments through computer vision. (P036-22/E17)
- Accelerated Networking and Processing in the Semiconductor Industry through Artificial Intelligence» (P038-21/E17)
- Quality Management Tool Optimization for Android Devices (P003-20/E17)
- Drive Focus: a contextual application for interruptions avoidance (P006-19/E17)
- Wearable solution for workers monitoring in industrial environments (P010-19/E17)
- Smart Helmet: a Wearable Iot Helmet for Monitor Worker Safety (P050-18/E17)
- Software de Gestión de Máquinas Deshuesadoras de Aceitunas (P008-15/E05)
- Aplicación Integración Software de Predicción de Cocido de Aceitunas (P026-14/E05)
- Plataforma de Diseño de Instalaciones de Energías Renovables (PDIER) (P045-12/E05)
- Aplicación Web para la gestión del Instituto de Ciencias de la Educación (0285/0174)
- Proyecto de migración, renovación y mejora de la intranet y software para la gestión del Instituto de Ciencia de la Educación (OG-039/08)
- Proyecto de migración, renovación y mejora de la intranet y software para la gestión del Instituto de Ciencias de la Educación (OG-004/07)
- Proyecto de mantenimiento y mejora del portal Web para la gestión del Instituto de Ciencias de la Educación (OG-050/06)
- Mantenimiento y actualización del portal Web del ICE (OG-077/05)
Main researchers
Juan Antonio Álvarez
He defended his PhD in 2010 (Cum Laude unanimously). He got the Lecturer (Contratado doctor) positio…
Luismi Soria
Luismi Soria has a strong research line focused on the application of various intelligent techniques…
DeepKnowledge Research Group
Ángel Torregrosa
Dedicated and diligent, with a keen interest in various aspects of artificial intelligence and its p…
Cons Benjumea
Constantino is a curious individual, more interested in questions than in answers. He sees unanswere…
Enrique López
Enrique J. López Ortiz received a degree in computer engineering from the University of Seville (Spa…
Fernando Sancho
Since the beginning of my research life I have been interested in using mathematical tools as a mean…
José Luis Salazar
Jose L. Salazar González received the degree in Computer Engineering and the Ph.D. degree in Compute…
Marina Perea
Marina Perea Trigo received a degree in Health Engineering and a master’s degree in Software E…
Miguel Ángel Martínez
Miguel Ángel holds a degree in Computer Engineering from the University of Murcia (2008, average gra…
Xopre
He is currently a PhD student in Mathematics, where he is researching reduced order models and their…
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