Research in ubiquitous computing, machine learning, deep learning and mobile development
What we can do
DeepKnowledge research group is positioned in the following areas of research and development
Deep Learning

Weapons detection, image classification and real-time traffic sign recognition


Ambient Assited Living, indoor positioning and recognition of physical activities

Ubiquitous computing

Environment sensorization, wearables, signal processing and classification, obtaining patterns and data analysis

Member of our research group
The different members of the DeepKnowledge research group are professors at the University of Seville, hired staff and external collaborators
Juan Antonio Álvarez García
Main researcher

Juan received his Ph.D. in Software Engineering from the University of Seville in 2010. He is an Associate Professor at the Department of Languages and Computer Systems at the same University. His research focuses in human mobility prediction and Activity recognition. He has participated in more than 20 national and regional projects.

Luis Miguel Soria Morillo
Main researcher

Luismi received his MSc and PhD in Computer Engineering from the University of Seville, Spain, in 2009 and 2011, respectively. He is teacher at the School of Computer Science of the University of Seville since 2010. He is an expert in mobile technologies, ubiquitous computing and e-health systems. He has taught part in six degrees, three master’s degrees from the University of Sevilla and has led to more than 30 Bachelor and Master Thesis projects.

Fernando Sancho Caparrini

PhD. in Mathematics from the University of Seville where I am a professor at the Computer Science and Artificial Intelligence Department. I enjoy collaborating on multidisciplinary projects, interested in the intersection of topics such as network analysis, complex systems, artificial intelligence and computational mathematical modeling, and their applications to fields such as the Humanities, Biology or their theoretical approach from Mathematics.

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Paco Velasco Morente
Senior lecturer & researcher

Francisco Velasco-Morente, doctor in Mathematics, is a professor at the Department of Applied Economics at the University of Seville (Spain). He is a promoter member of the research group Qualitative Methods and Optimization in Dynamic Economic Systems (Cosde), and coordinator of its Research Seminar. He is also a member of the Instituto de Matemáticas de la Universidad de Sevilla (IMUS) and the Instituto de Economía y Negocios de la Universidad de Sevilla (Iusen). Dr. Velasco-Morente has published numerous research articles and has several books dedicated to scientific production of Andalusia (Spain).

Álvaro Arcos García

Álvaro is a passionate about technology, Deep Learning and software development. All around developer with years of expertise in the following areas: AI research and development, Full-stack web development and Android development. Well-versed in numerous programming languages including Python, PHP, Java, and SQL. He is self-motivated, team player, proactive and he has a genuine appetite to increase knowledge in the industry. Currently, he is CTO & AI Director at MCCM Innovations and he holds the top-1 rank position at the international German Traffic Sign Recognition Benchmark.

Fernando Enríquez
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Jose Luis Salazar Gonzalez

Reasearcher at the University of Seville, in Vision and Crowdsensing Technology for an Optimal Response in Physical-Security’s project. In 2018, he graduated in Computer Software Engineering from the University of Seville.

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Marina Perea Trigo
PhD student

Graduated in health computing engineering focus on Clinical Informatics branch and master’s degree in Software Engineering: Cloud, Data and IT from Universidad de Sevilla. Currently researcher at deep learning at Universidad de Sevilla, developing my interest in object detection sub-discipline in the field of Artificial Intelligence. Experience in user acceptance and regression testing and design, and Java backend development.

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Carlos Zaccaro
PhD student
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Miguel Ángel Martínez

He received his Ph.D. (2013) in Computer Science at the University of Seville (Spain), and his M.S. (2008) in Computer Engineering at the University of Murcia (Spain). Currently, he is an assistant professor at the Department of Computer Science and Artificial Intelligence of the University of Seville, a member of the Research Group on Natural Computing (Univ. Seville), and a NVIDIA Deep Learning Institute ambassador. His main research interest is on the interplay between parallel computing, bio-inspired computing and machine learning, with special focus on GPU computing and deep learning. He has co-authored more than 25 papers in scientific journals, more than 45 contributions to conferences, and participated in 9 patents concerning image compression techniques.

Fernando José Rendon Segador
PhD student
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Manuel Correa Gómez

Manuel is a Computer Science Engineering student at Universidad de Sevilla who loves Artificial Intelligence and robotics. He also consider himself a self-taught person on fields of his interest like electronics, 3D design and printing and of course AI. He is currently working in developing and Open Source Quadruped for education and use in research. He loves to develop products based on AI or robotics.

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Miguel Ángel Álvarez
Senior lecturer & researcher
Enríque López Ortiz
welcome to DeepKnowledge 
The power of deep learning and its applications
DeepKnowledge research group is well positioned in deep learning, ubiquitous computing, activity recognition systems, eHealth, mobile applications development and ambient assist. We are a multidisciplinary group of researchers from different areas related to new technologies. We are engaged in research and development of emerging technologies in the field of  Ubiquitous Computing, Mobility, Clinical Informatics, Big Data, Machine Learning and Smart Cities as fundamental lines. We have extensive experience in technology transfer projects, where we have worked with both companies and institutions on the lines indicated above. Also, we lead and participate in research initiatives both Spanish and European relevance. Our researchers are involved continuously with other Spanish and European groups, exchanging knowledge and staff to promote the excellence of our group in research and industrial transfer.
Projects portfolio
Below you have a small sample of several research projects and collaborations carried out by the DeepKnowledge research group
Simon. Saving Energy by Intelligent Monitoring
Smart Helmet: a Wearable Iot Helmet for Monitor Worker Safety
Wearable solution for workers monitoring in industrial environments
Drive Focus: a contextual application for interruptions avoidance
Healthy and Efficient Routes in Massive Open-Data Based Smart Cities-Citizen
Vision and Crowdsensing Technology for an Optimal Response in Physical-Security
Cultivating New Ideas
Innovation in highly technological research lines
We are positioned in research areas with a high degree of permeability to the industrial fabric, allowing not only to develop new technology-based ideas, but also to transfer knowledge to the company