Emillia López-Iñesta has a degree in Mathematics, a Degree in science and statistical techniques, a Master in Advanced Computing and Intelligent Systems (extraordinary prize) and PhD in Information Technologies, Communications and Computing from the University of Valencia. Her doctoral thesis was awarded the Marc Esteva Award for Best Thesis in Artificial Intelligence in 2018, being the first woman to achieve it. Emilia López-Iñesta is an Assistant Teacher in the Department of Mathematics Teaching. She has made research stays at the Center for Research in Artificial intelligence of the University Veracruzana (Mexico) and the laboratory of Agent-based Social Simulation of the CNR (Rome).

Her research focuses on understanding mathematical problems, reading statistical graphs, computational thinking, applying artificial intelligence techniques and machine learning to different contexts such as Education (Learning Analytics), Citizen Science and the so-called "Science of Science” area that includes Peer review processes. On the other hand, she investigates gender diversity in ICT and STEM to reduce the gender gap in STEM (Science, Technology, Engineering and mathematics) careers obtaining with one of her weorks the Florence Nightingale Award for the best communication with a gender perspective. She has received for her research and dissemination activities the Artificial Intelligence 2019 category Award of the Muy Jóvenes Científicas Awards, convened by the Muy Interesante magazine and the Odisea television channel.

She participates in the organization of scientific dissemination activities and projects, such as Databeersvlc (https://twitter.com/databeersvlc), a short talks event on applications of Artificial Intelligence, Data Science and statistics in an informal setting or "La Falla Immaterial" (https://fallaimmaterial.com/es), a citizen science project that combines data analysis using Artificial intelligence techniques in the context of massive festivities such as Las Fallas. She is Ambassador Scientix (http://www.scientix.eu in Spain, the community for the teaching of Science in Europe. She is also one of the promoters of the Girls4STEM project (http://www.girls4stem.es/) for the promotion of scientific vocations among young people, in particular girls and adolescents, with the aim of valuing and knowing the social application of careers related to STEM areas such as Engineering, Mathematics and Data Science. She also collaborates with the initiative https://11defebrero.org/ and is a member of the node Valence of the network Biostatnet that is in charge of the project "STAT WARS: The empire from the data" (https://biostatnet.com/noticias-noticias/stat-wars-el-imperio-de-los-datos/), an outreach project to bring the statistics, and their applications in Artificial Intelligence and Data Science to the students of Secondary Education.

She has received recognition for his work in Scientific Dissemination for the projects DatabeersVlc, Synapsi-UV (project on neuroscience, Augmented Reality and Artificial Neural Networks) and Falla Immaterial, as well as other awards for academic and research performance (info on https://www.researchgate.net/profile/Emilia_Lopez-Inesta awards section).

She is a member of the Association of women researchers and technologists, the Catalan Association of artificial intelligence ACIA, the Spanish Society of research in mathematical education (SEIEM) and the Society of mathematical education of the Valencian Community Al-Khwarizmi (SEMCV).

Participates in national and international competitive projects, belongs to scientific committees and participates in the organization of scientific conferences (CCIA2015, PEERE2016, SOCIOCOMPLEX2016, CNSC2018, PEERE2020, JENUI2020, SEIEM2020).

On the other hand, she collaborates in training courses for teachers of Secondary and Primary Education to motivate the application of resources of Artificial Intelligence, Data Science and Statistics in the classroom.

Joaquín Pérez is a Senior Lecturer on electronics technology of the Department of Electronic Engineering of the Universitat de València, Estudi General, since 2023. In 2018, he joined the University of Valencia as an adjunct lecturer of the Department of Computer Science of the University of Valencia, General Study, in 2019 he was appointed as Lecturer of the department of Electronic Engineering of the University of Valencia. Meanwhile,  he was a computing professor for high school degrees until 2019. As a researcher he collaborates with international research institutions and companies such as Universitat Politècnica de València, Czech Technical University of Prague, Chalmers University, Northumbria University at Newcastle, HHI, Anritsu, Ericsson AB and others. He received his M.Sc. and Ph.D. degrees in Telecommunications engineering from Universitat Politècnica de València, Spain, in 2004 and 2009, respectively. Moreover, he has participated in several international research projects, e.g. OWIN6G, IST-UROOF, ICT-UCELLS, EU COST action IC0802, IC1101 and published more than 60 works in recognized international journals and conferences. He also participates in projects of educational innovation and awareness-raising and scientific dissemination such as GIRLS4STEM, led by the UV. His research interests include electronic for communications systems, microwave photonics,  5G communications, IoT, heterogeneous communications networks, quantum optics, wireless secure systems, optical wireless communications, photonics integrated systems and optical access networks. He is open also for collaboration on any interesting research topic on telecom, optics physics, and others.

I trained as a biochemist at the Universitat de València where I also did my PhD working on epigenetics. I used yeast (from beer) to investigate enzymes that produce post-translational modifications in histones (a component of chromatin).
After a postdoctoral stay at the University of British Columbia (Vancouver), I recently completed a master's degree in Bioinformatics, which allowed me to introduce data science in magnetic molecule research in my current work at ICMol.

Esther de Ves  received the M.S. degree
in Physiscs and the Ph.D. in Computer Science from the University of
Valencia in 1993 and 1999, respectively. Since 1994 she has been within
the Department of Computer Science from the University of Valencia where
she is an Assistant Professor. Her current interests are iin data mining, multimedia databases retrieval and big data.