Keynote Speakers
Eduardo Blanco
University of Arizona, USA
Eduardo is professor in the Department of Computer Science at the University of Arizona. He is affiliated with Applied Math and Cognitive Science.
Omar Alonso
Amazon Science, USA
Omar Alonso is a senior manager of applied science at Amazon. In addition, Omar Alonso is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University.
Carla Agurto RĂos
IBM Research, USA
Carla Agurto, Ph.D. is an accomplished research scientist specializing in multimodal machine learning and the integration of large language models. With over 15 years of experience, her research focuses on biomarker discovery and the development of scalable machine learning systems that synthesize data from speech, language, imaging, sensors, and time-series analysis. Dr. Agurto has advanced computational methods to identify digital biomarkers and predictive signals for complex conditions, including Parkinson’s disease, ALS, substance use disorders, chronic pain, and diabetes. Simultaneously, she has spearheaded the creation of machine learning pipelines and cloud-based microservices, effectively translating advanced modeling into reusable and deployable AI infrastructure.
Fernando De La Torre
Cargenie Mellon University, USA
Fernando De la Torre received his B.Sc. degree in Telecommunications, as well as his M.Sc. and Ph. D degrees in Electronic Engineering from La Salle School of Engineering at Ramon Llull University, Barcelona, Spain in 1994, 1996, and 2002, respectively
Armando Solar-Lezama
MIT (Massachusetts Institute of Technology), USA
Armando is a Distinguished Professor of Computing at MIT Schwarzman College of Computing. Armando leads the Computer Assisted Programming Group . The focus of my research is program synthesis, an exciting research area that lies at the intersection of Programming Systems and Artificial Intelligence.
Veronica Perez-Rosas
Texas State University, USA
Veronica Perez-Rosas is an Assistant Professor at Texas State University. She received her Ph.D. in Computer Science and Engineering from the University of North Texas in 2014 and was an Assistant Research Scientist at the University of Michigan until August 2024. Her research interests include natural language processing, computational linguistics, affect recognition, and multimodal processing of human behavior. Her current work focuses on user-centric applications for the healthcare domain. She has authored several papers in leading conferences and journals in Natural Language Processing and Computational linguistics and served as a program committee member for multiple international journals and conferences in the same fields.
Jorge Ortiz
Rutgers University, USA
Jorge Ortiz spent 5 years as a research staff member at IBM Research, where he attained over a dozen patents working on machine learning for cyber-physical systems and the Internet-of-Things.
Maciej Ogrodniczuk
Institute of Computer Science, Polish Academy of Sciences, Poland
Since 2010 Maciej has been involved in the field of semantic processing of Polish discourse in the field of coreference and methods of its automatic resolution with computational-linguistic methods.
Gabriela Csurka
NAVER Labs Europe, France
Dr. Gabriela Csurka is a Principal Scientist at NAVER LABS Europe, with over three decades of experience in computer vision, machine learning and physical AI. Her research covers visual recognition, semantic segmentation, domain adaptation, image and 3D scene reconstruction, and multimodal fusion. Her current interests focus on 2D and 3D foundation models and multimodal LLMs. She has authored over 100 publications and is best known for the Bag-of-Visual-Words (BoV) framework, which transformed image categorization until the advent of deep learning.
John Ortega
Northeastern University, USA
John E. Ortega is a research scientist studying natural language processing, machine translation, and low-resource languages at Northeastern University. He obtained a Ph.D. in Computer Science from the Universitat d’Alacant in Spain in 2021 and has recently completed postgraduate research in Applied Linguistics at the University of Santiago de Compostela (also in Spain).
Laura Vásquez-RodrĂguez
Doodle, Switzerland
Laura is a Full Stack AI Engineer at Doodle in Zurich, building AI features that create time. Previously a researcher in Natural Language Processing, she pioneered new methods for coherence evaluation in text simplification during her Ph.D. at the University of Manchester. Then, she led work on multilingual skill extraction as a postdoctoral researcher at Idiap Research Institute, focusing on connecting research with industry. Earlier, she spent nearly a decade as a Software Engineer at Intel in Costa Rica.
Roque Lopez
New York University, USA
I am a research engineer at New York University (NYU), I have been involved in various research and development projects throughout my career. My background and experience are primarily in data integration, applied machine learning, and natural language processing. I also have a strong interest in reinforcement learning.
Germain Garcia-Zanabria
Universidad de IngenierĂa y TecnologĂa, Peru
Germain received his Ph.D. in Computer Science from the University of SĂŁo Paulo (USP) in Brazil in 2021. From 2014 to 2016, he earned his Master of Science in Computer Science from the Catholic University of San Pablo (UCSP) in Peru. He conducted postdoctoral research on dropout patterns at Peruvian universities at the Center for Research and Innovation in Computer Science (RICS) at UCSP. In 2019, he was a visiting researcher at the Visualization, Imaging, and Data Analysis Center (VIDA) at New York University (NYU). His research interests include data visualization, visual analytics, machine learning, data science, crime analysis, crime prediction, dropout analysis, georeferenced data, spatiotemporal analysis, and applying computer science to social issues.
Vanessa Aguiar-Pulido
University of Miami, USA
Dr. Vanessa Aguiar-Pulido is an Assistant Professor at the University of Miami. She holds an appointment in the Dept. of Computer Science and the Dept. of Informatics and Health Data Science, and is a member of the Sylvester Comprehensive Cancer Center. She is also an Adjunct Assistant Prof. of Neuroscience at Weill Cornell Medicine. Dr. Aguiar-Pulido is passionate about problem solving in biomedical research, with a focus on developing AI-based approaches that will impact diagnosis and therapeutics of rare and complex genetic disorders. Her background and interests include machine learning, artificial intelligence, genetics, neuroscience, cancer, computational biology and omics in general.
Daniel Alexis Gutierrez Pachas
Universidad CatĂłlica San Pablo, Peru
Daniel Gutierrez is PhD. in Computer Science and Computational Mathematics from the University of SĂŁo Paulo and a Master's in Mathematics from the University of Juiz de Fora. Current Director of the Department of Computer Science. I also have teaching experience at universities in Peru and Brazil and am a member of the Latin American Committee of Applied Mathematics Computational and Industrial - CLAMACI. Finally, I have research experience in stochastic systems, optimization, numerical analysis, and data science.
Miguel Nuñez del Prado
UPC, Peru
Miguel applies Artificial Intelligence and Big Data Analytics to DRM in the Healthcare system and for Human mobility. He currently serves as the Academic Director of the Management and Data Science Program at UPC. He also has collaborations with the World Bank's DRM-H global program and SAMOVAR at TelecomSud Paris. He holds a Ph.D. in Computer Science from the University of Toulouse, with research focusing on spatio-temporal Big Data and privacy protection. He is an experienced educator and innovative project manager, leveraging a strong background in Systems Engineering, Network Engineering, and Strategic Innovation Management. He is actively involved in graduate education, serving as an external mentor for the Stanford ICME Xplore Program and the Georgetown MSBA Capstone.
Hugo Alatrista-Salas
De Vinci Higher Education, France
Hugo Alatrista-Salas is a full-time professor at De Vinci Higher Education in Paris, France. He received his PhD in Computer Science from the University of Montpellier, France, in collaboration with the University of New Caledonia. His thesis focused on spatiotemporal pattern mining from georeferenced data related to health and environmental issues. His research focuses on extracting knowledge from data using techniques such as pattern mining, machine learning, text mining and information visualisation. He is also the Chief Data Officer (CDO) at Ping4All, a sports and health technology company founded to promote people's physical and mental well-being worldwide. He also co-founded SIMBig, one of the most important conferences in Latin America.
Juan Antonio Lossio-Ventura
National Institutes of Heath, USA
Antonio works as a Research Scientist at the National Institutes of Health (NIH) in the United States. Within the NIH, I is a member of the Machine Learning Team based at the National Institute of Mental Health (NIMH-NIH). His professional background encompasses expertise and research experience in the following areas, with a specific focus on their application in health and biomedicine: (1) data science, (2) natural language processing (NLP), (3) machine learning, and (4) knowledge bases.
And more to come…
