Speakers

Russel Wolff

Russel Wolff is a project coordinator at the University of Stavanger (UiS) as well as the Chief Operations Officer at bitYoga AS.

An experienced project manager, Russel has over 10 years of experience managing projects, specializing in research projects for the past seven years. During this time, Russel has participated in 7 EU funded projects, and 14 nationally funded projects, 8 of which UiS was the project coordinator. Russel holds a MSc in Information Technology Management from the Naval Postgraduate School in Monterey, CA, USA, and is a certified Prince2 Practitioner as well as certified Project Management Professional (PMP)®.

Daniel Torres

Daniel Torres Salinas holds a PhD in scientific documentation.

He is lecturer of the Deparment of Information and Communication (University of Granada) and Director of the Research Evaluation Unit. He is researcher in EC3 Research Group (Evaluación de la Ciencia y de la Comunicación Científica) about bibliometric topics. Also he is CEO of the EC3metrics spin-off and coordinator of the Digital Science Section in Medialab UGR.

He is co-author of evaluation tools such as Científicacvn, Rankings I-UGR de Universidades, Clasificación CIRC, Bipublishers o UGRinvestiga. He have published more than 70 scientific publications in journals indexed in the Web of Science (Clarivate Analytics). He teaches courses on scholarly communication, altmetrics, scientific career, etc... He is also teacher in the European Summer School for Scientometrics (ESSS) and in the Master in Science Communication.

Web: https://sites.google.com/go.ugr.es/torressalinas/

Nicolas Robinson-Garcia

Nicolas Robinson-Garcia is a researcher in the field of bibliometrics and research evaluation. He currently enjoys a Ramón y Cajal grant at the University of Granada (Spain). He worked previously as a Marie Sklodowska-Curie Fellow at Delft Institute of Applied Mathematics, TU Delft (Netherlands), the School of Public Policy at Georgia Institute of Technology and at INGENIO (CSIC-UPV) in Spain.

He holds a PhD on Social Sciences at the University of Granada. He is member of the Steering Committee of the European Summer School for Scientometrics. He has published over 40 articles and book chapters in the field of bibliometrics and research evaluation, including in elite journals like Nature, Science or Plos One. He is Associate Editor of the journal Frontiers in Research Metrics and Analytics in the section on ‘Research Assessment’ and member of the editorial board of Research Evaluation, Quantitative Science Studies and Scientometrics.

Web: http://nrobinsongarcia.com/cv/

María del Mar Abad-Grau

María del Mar Abad-Grau is assistant professor at the department of Computer Languages and Systems, University of Granada and belongs to the research group of Uncertainty in Artificial Intelligence.

She made a postdoc at University of Massachusetts and Boston University where she specialized in bioinformatics, started several collaborations and research visits to Harvard, Boston, UCSD and UCSF during 6 years. Since then she has leaded a team and focused on research projects to use machine learning to find genetic causes of complex diseases from genome-wide data, one more team within the many of them working on this challenging topic opened since the Human Genome project and with little results yet.

She also holds a MSc in Psychology and a Degree in Theology and has currently broaden her teaching and research interests to cyberethics, ethics of genomic profiling and spiritual computing.

Juan A. M. Orellana

Juan A. M. Orellana has a master degree in Mathematics and a Statistics degree. He is also certified as Spanish Patent Attorney.

He joins the Knowledge Transfer Office (OTRI) of the University of Granada in May 2003 to enforce the Intellectual Property area. A few years later, he starts to manage the whole IP area and, since then, he have developed activities of marketing, spin-off promotion, project management, valorization and licensing.

At the present, he is Deputy Director of University of Granada Knowledge Transfer Office and the responsible for managing the Intellectual Property associated to R&D at the UGR, where he focuses his work on valorisation of research results, performing various tasks related to the IP rights, the promotion of proofs of concept, IP valuation, marketing, negotiation and licensing"

Luz García

Luz García received her M.Sc. degree in telecommunication engineering from the Polytechnic University of Madrid, Spain, in 2000, and her Ph.D. degree from the University of Granada, Spain, in 2008.

After her M.Sc. degree, she started working as support engineer for communication networks at Ericsson-Spain (Madrid) and Ericcson-Sweeden (Göteborg), for five years. Then she joined a European research project at the University of Granada, within which she obtained her Ph.D in automatic speech recognition. She belongs to the Department of Signal Theory, Telematics, and Communications (University of Granada, Spain) since 2005. She currently is associate professor. Her research interests are signal processing, pattern recognition, distributed acoustic sensing, and machine learning approaches.

Rafael Molina

Rafael Molina received the degree in Mathematics (Statistics) and the Ph.D. degree in optimal design in linear models from the University of Granada, Granada, Spain, in 1979 and 1983, respectively. In 2000, he became Professor of Computer Science and Artificial Intelligence at the University of Granada.

His research interest focuses mainly on using Bayesian modelling and inference in image restoration (applications to astronomy and medicine), super-resolution of images and video, active learning, supervised and unsupervised learning and crowdsourcing.

Kjersti Engan

Kjersti Engan is a professor at the Electrical Engineering and Computer Science department at the University of Stavanger (UiS), Norway. She received the BE degree in electrical engineering from Bergen University College in 1994 and the M.Sc. and Ph.D degrees in 1996 and 2000 respectively, in electrical engineering and information technology from the UiS. She is the leader of the Biomedical data analysis lab - BMDLab - at UiS ( uis.no/bmdlab )

Her past and current research interests are in signal and image processing and machine learning with emphasis on medical applications and in dictionary learning for sparse signal and image representation. She has a particular interest in AI for newborn survival, stroke detection from CTP imaging and AI in computational pathology.

She is a senior member of IEEE. She has served as Associate editor and Senior Area editor for IEEE Signal Processing Letters and as a member of IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP), and associate editor for SIAM Journal on Imaging Sciences (SIIMS).

Lee Cooper

Lee Cooper, PhD is an Associate Professor of Pathology in the Feinberg School of Medicine at Northwestern, and is Director of the Computational Pathology and the Center for Computational Imaging and Signal Analytics.

Prior to joining Northwestern in 2019, he was an Assistant Professor of Biomedical Engineering at the Georgia Institute of Technology and Emory University. His research explores multiple facets of engineering in pathology including machine learning methods, software development, and data generation pipelines.

Delia Cabrera DeBuc

Dr. Cabrera DeBuc’s laboratory research focuses on developing methods and algorithms to quantify pathological features and treatment-induced changes in patients with ocular and neurological diseases. The primary focus is to develop quantitative tools to improve ocular imaging and image processing analysis for clinical use as well as to identify novel imaging biomarkers of the onset and progression of ophthalmic and neurological diseases using advanced optical imaging (e.g., OCTA, LSFG, RFI, cSLO). The lab also has an interest in developing and translating low-cost multimodal approaches for eye screening integrated with telemedicine and artificial intelligence applications in primary care and community settings.

Aggelos K. Katsaggelos

Aggelos K. Katsaggelos received the Diploma degree in electrical and mechanical engineering from the Aristotelian University of Thessaloniki, Greece, in 1979, and the M.S. and Ph.D. degrees in Electrical Engineering from the Georgia Institute of Technology, in 1981 and 1985, respectively.

In 1985, he joined the Department of Electrical and Engineering and Computer Science at Northwestern University, where he is currently a Professor holder of the Joseph Cummings chair in the Electrical and Computer Engineering Department (courtesyComputer Science and Radiology).

He is also the co-Director of the Center for Scientific Studies in the Arts (NU-ACCESS) at Northwestern University. He has published extensively in the areas of multimedia signal processing and communications, computational imaging, and machine learning and he is the holder of 40 international patents. He is the co-author of 4 books, the latest one being Machine Learning Refined (Cambridge University Press, 2016, 2020). He has supervised 70 Ph.D. theses so far.

He has been involved in a number of professional activities and he has received a number of awards. He is a Life Fellow of the IEEE (2022), Fellow of the IEEE (1998), SPIE (2009), EURASIP (2017), and OSA (2018).

Juan Merlo

Today many medical research areas have a strong focus on individual or even molecular levels, while aiming to identify new risk factors for diseases and discover new and better pharmaceutical drugs. It is equally important, however, to study the role of society as determinant of individual health. Public Health, Social Medicine and Epidemiology have a multilevel perspective, and our research team considers interactions between the individual and the society in which the individual lives in order to identify factors that influence health, disease risk and health care utilization. In so doing, we apply and develop innovative research methodologies while bringing together a multidisciplinary team including expertise in the fields of medicine, biology, epidemiology, statistics, sociology and anthropology.

Much of our work aims at understanding the reasons and mechanisms leading to the existence of geographical, socio-economic and gender differences in health and care utilization. We perform research in Pharmacoepidemiology and Health Care epidemiology aimed to investigate the use and effects of medication and the performance and quality of health care in the real world setting.

Our research is based on the principle of equity and access to health care on equal terms according to needs and dignity of all human beings (Swedish Health and Medical Services Act,(1982:763)). Our research deals with issues that have direct relevance for public health and health care, and it presents evidence that can provide a scientific basis for equitable and efficient distribution of resources and preventive public health interventions.

Davide Zaccagnini

Davide Zaccagnini, MD is a former vascular surgeon, Davide has been researching clinical decision systems, data interoperability and privacy technologies for large scale data ecosystems for more than 15 years. His research started at MIT and is continuing now at Lynkeus, a private research center, where he is currently serving as Managing Director. He served in executive roles in start-ups and large US corporations working closely with healthcare systems. He keeps publishing in international journals while leading technology development at the intersection of healthcare and Web 3.0 technologies.

Graduated in medicine and specialized in surgery in Rome, at the Massachusetts Institute of Technology, Davide studied applications of artificial intelligence in clinical decision support systems, clinical guidelines automation and natural language processing, publishing in numerous international journals. He is the author of two books on models of decision-making in medicine. From 2008 to 2010 he served in the Advisory Board of the World Wide Web Consortium focusing biomedical data standards and Semantic Web applications.

As director of product management for Nuance Communications and then for two US start-ups, he designed advanced systems for natural language understanding, clinical decision making and medical billing currently in use in multiple US healthcare networks. In Lynkeus he oversees research activities focusing on blockchain-based biomedical data exchange at scale, personal data marketplaces and clinical artificial intelligence, sharing his time between Rome and Boston.

Valery Naranjo

Valery Naranjo received the degree in Telecommunications in 1995 and the Ph.D. degree in Telecommunications in 2002 from the Polytechnic University of Valencia (UPV). She is full professor in Signal Theory at UPV and director of the Research and Innovation in Bioengineering Institute (I3B) and Academic Head of the Telecommunications degree.

She has led numerous European and national projects focused on image analysis and machine learning, being the coordinator of Clarify. One of its main lines of research is the development of computer-aided systems applied to different fields, such as medicine, biology and quality control in industrial applications.

Web: http://www.upv.es/ficha-personal/vnaranjo