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Alejandro Sánchez GraciaView profile

Associate Professor

• Molecular Evolutionary Genetics
• Population Genomics
• Comparative Genomics
• +3 more

Alejandro Sánchez Gracia is an Associate Professor at the Universitat de Barcelona's Faculty of Biology, affiliated with the Department of Genetics, Microbiology and Statistics. He leads the Molecular Evolutionary Genetics research group and directs the advanced course in 'Phylogenomics and Population Genomics: Inference and Applications.' Education: Llicenciat in Biology (Universitat de Barcelona, 1998), PhD in Biology (Universitat de Barcelona, 2006) Research Focus: Molecular mechanisms of chemosensory gene evolution in arthropods, development of bioinformatics tools for evolutionary and population genomics, and population genomics of adaptation in Drosophila. His work bridges computational methods with evolutionary biology, emphasizing genomic approaches to study adaptation. Key projects include analysis of chemoreceptor gene families across Panarthropoda, genomic studies of Canary Island endemic species, and development of tools like BITACORA for gene family annotation. He has contributed to major genomic resources such as DnaSP 6 and participated in initiatives like the Earth BioGenome Project. Active in collaborative networks like the European Drosophila Population Genomics Consortium and AdaptNET (Adaptive Genomics Network). Grants and Projects: 2021-2024: PID2020-113168GB-I00 (Ministry of Science, Spain) - Poligenic adaptation in Drosophila 2020-2021: Catalan blind scorpion genome project (Institut d'Estudis Catalans) Labs/Teams: Heads the Molecular Evolutionary Genetics group, collaborating on projects involving spider genomics, chemosensory evolution, and population-level adaptation studies.

Marta CasanellasView profile

Professor

• Algebraic Geometry
• Computational Biology
• Phylogenetics
• +4 more

Marta Casanellas is a full professor in the Department of Mathematics at the Polytechnic University of Catalonia (UPC) and a researcher at the Centre de Recerca Matemàtica. She teaches at the Faculty of Mathematics and Statistics, ETSEIB, and FIB. She earned her PhD in mathematics from the University of Barcelona under RM Miró-Roig, focusing on algebraic geometry and liaison theory. After completing a postdoc at UC Berkeley with a Fulbright Scholarship, she shifted her research to applications of algebraic geometry in computational biology, particularly phylogenetics. Her educational background includes a PhD from the University of Barcelona (2002), followed by a postdoctoral fellowship at UC Berkeley (2002-2003) supported by a Fulbright Scholarship. She obtained a prestigious Ramón y Cajal contract at UPC in 2003, which marked her transition to interdisciplinary research at the intersection of mathematics and biology. Casanellas' research focuses on applying algebraic and geometric techniques to phylogenetics, with particular emphasis on evolutionary models, phylogenetic invariants, and computational methods for genomic data analysis. Her work bridges pure mathematics (particularly algebraic geometry) with biological applications, developing mathematical frameworks to reconstruct evolutionary histories and understand genomic relationships. She has published extensively in both mathematics journals like Advances in Mathematics and biology journals like Molecular Biology and Evolution. Her recent publications demonstrate a consistent focus on developing algebraic methods for phylogenetic analysis, with increasing attention to heterogeneous evolutionary processes across lineages, time-reversible models, and computational implementations of theoretical results. The trend shows progression from theoretical foundations in algebraic geometry toward increasingly sophisticated and applicable computational methods for biological data. Fulbright Scholarship for postdoctoral research at UC Berkeley Ramón y Cajal contract (2003) Casanellas has supervised PhD students including A. Kedzierska (co-supervised with R. Guigó of the CRG). She has served as principal investigator for three competitive Spanish government projects involving fifteen researchers each. She has held significant academic leadership roles including Deputy Director of Research of the Department of Mathematics at UPC (2015-2018), head of studies for the Degree in Data Science and Engineering at UPC (2018-2022), and currently coordinates UPC's PhD in Bioinformatics program and Bachelor's Degree in Bioinformatics. She leads the BIO-GEOMAP research group focused on applying mathematical techniques to biological problems.

Luis Merino CabañasView profile

Professor

• Robotics
• Systems Engineering
• Automation
• +5 more

Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.

• Number Theory
• Algebraic Geometry
• Computational Algebra
• +3 more

Jordi Guàrdia Rúbies is a Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Mathematics and Statistics (FME). He is a member of the UPC's STNB research group (Seminari de Teoria de Nombres de Barcelona), specializing in Number Theory and Algebraic Geometry. His work bridges theoretical research with educational innovation, particularly in Open Educational Resources (OER) for STEM fields. Affiliations: UPC, STNB Group, FME. Research Interests: Computational Algebra, Valuation Theory, Modular Forms, Mathematics Education. Recent research focuses on OER development, with contributions to collaborative platforms like Gate2Math. He has published extensively in journals like Journal of Algebra and Foundations of Computational Mathematics , addressing topics such as polynomial factorization over Henselian fields and valuation theory applications. Key awards include the Distinció Vicens Vives and UPC Quality Teaching Prize. He leads projects on OER quality assessment and has collaborated on EU-funded initiatives like the Erasmus+ Gate2Math program. His teaching contributions include innovative projects like Aprenentatge de l’Estadística basat en casos pràctics transversals , emphasizing practical case studies in statistics education.

• Analytical Chemistry
• Green Analytical Chemistry
• Environmental Analysis
• +5 more

Daniel Gallart Mateu is a Senior Lecturer in the Department of Analytical Chemistry at the Faculty of Chemistry, University of Valencia. He is associated with the research group SOLINQUIANA, focusing on innovative solutions in analytical chemistry. Education: PhD in Analytical Chemistry (2017) from the University of Valencia, supervised by Dr. Sergio Armenta and Dr. Miguel de la Guardia. His research spans analytical chemistry, green methodologies, and environmental analysis. Key areas include: Development of sustainable sample preparation techniques (e.g., magnetic nanocomposites, natural sorbents). Environmental monitoring of pollutants (e.g., alkylphenols, phthalates, hexavalent chromium). Application of spectroscopy and chromatography in forensic and toxicological analysis (e.g., synthetic cathinones, cocaine in camouflaged samples). Integration of computational thinking into chemistry education via machine learning. Article trends highlight a focus on green analytical chemistry, forensic toxicology, and environmental impact mitigation. He contributes to master's programs in occupational risk prevention and chromatographic techniques.

• Plant-Microbe Symbiosis
• Phosphate Transport
• Plant Defense
• +3 more

Dr. Maria Harrison is the William H. Crocker Distinguished Professor at Cornell University's School of Integrative Plant Science and Adjunct Professor in Plant Pathology. Her research investigates arbuscular mycorrhizal symbioses, focusing on phosphate transfer mechanisms and plant defense biochemistry. Using model legumes and poplar trees, her lab studies fungal colonization, symbiotic gene regulation, and metabolic pathways for bioactive compounds. She was elected to the Royal Society in 2024, recognizing her contributions to plant-microbe interactions. Her publications reveal insights into lipid provisioning, kinase signaling in symbiosis, and development of plant biosensors. Research integrates molecular genetics, cell biology, and genomics to address nutrient acquisition challenges in agriculture.

Yann PontyView profile

Researcher

• RNA Folding
• RNA Design
• RNA Evolution
• +9 more

Yann Ponty is a tenured CNRS Researcher at the Computer Science Department (LIX) of École Polytechnique (Institut Polytechnique de Paris, France). He leads the AMIBio team and serves as Deputy Director of LIX. His work focuses on developing bioinformatics methods at the intersection of computer science, mathematics, and molecular biology, particularly for RNA structure prediction, design, and evolution. He holds leadership roles in the ISCB Board of Directors (2025-2027) and the HDR referent for the IDIA department (CS&Interactions) at IP Paris. Research Interests: RNA folding/design/evolution, RNA-RNA/RNA-protein interactions, random generation, enumerative combinatorics, discrete algorithms, parameterized complexity, RNA visualization Key Contributions: Developed algorithms for RNA inverse folding, pseudoknot modeling, and dynamic programming optimization Collaborations: Partnerships with institutions like Simon Fraser University, Boston College, and Université Paris-Saclay His recent publications (15 most recent) span RNA structure prediction, pseudoknot partition functions, linear-time inverse folding algorithms, and parameterized sampling techniques. The work emphasizes dynamic programming, combinatorial approaches, and integration of experimental data for improving RNA modeling. Scientific awards include election to the ISCB Board of Directors (2025-2027) and leadership roles in academic networks like GdR BIM. He actively contributes to software development (VARNA, RNANR, SPARCS, IncaRNAtion, RNARedPrint) and serves as Associate Editor for Bioinformatics (OUP). Teaching engagements include graduate-level courses in combinatorial optimization, RNA bioinformatics, and algorithms at Université Paris-Saclay and École Polytechnique.

• Natural Language Processing
• Machine Learning
• Deep Learning
• +5 more

Ahmed AbuRa'ed is a Researcher at the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF), Barcelona. He is affiliated with the TALN research group and the Large-Scale Text Understanding Systems Lab. His work focuses on advancing knowledge in scientific text summarization, information extraction, and machine learning. Education: PhD in Computer Science (2020), UPF, Barcelona, Spain M.Sc. in Computer Science (2015), University of Trento, Italy B.Sc. in Computer Information Systems (2007), An-Najah University, Nablus, Palestine Research Interests: Natural Language Processing (NLP), Machine Learning/Deep Learning, Semantic Web, Information Extraction, Data Mining, and Scientific Document Summarization. His projects include developing systems for automatic generation of state-of-the-art reports, scientific text summarization, and cross-document relation discovery. Publications Focus: His 15 most recent articles (2016–2021) emphasize advancements in scientific literature analysis, including citation detection, text simplification, and cross-document summarization. Notable works involve systems like LaSTUS/TALN for scientific text processing and OlloBot for Arabic health dialogue agents. Labs & Teams: Active member of the TALN research group and the Large-Scale Text Understanding Systems Lab at UPF's DTIC department. Open to collaborations in NLP, Machine Learning, and related fields via email or Skype.

Juan Carlos Linares CalderónView profile

Professor

• Ecology
• Climate Change
• Forest Management
• +5 more

Juan Carlos Linares Calderón is a Full Professor at Pablo de Olavide University in the Department of Physical, Chemical and Natural Systems. His research focuses on Mediterranean relict forests' response to climate change through multidisciplinary approaches combining dendrochronology , ecophysiology , genomics , and epigenetics . PhD in Science (2008) from University of Jaén Principal Investigator in 10+ national/international projects Research Themes Specializing in climate change impacts on forest ecosystems , Linares leads the Forests Ecology and Global Change Lab . His work spans from individual tree responses to large-scale biogeographical patterns, challenging CO 2 -induced growth paradigms and emphasizing forest management as climate modulator. Scientific Contributions Over 162 publications with 82,704 reads and 9,074 citations Highly Cited Author status (Ioannidis et al., 2020) Developed SAPFLUXNET global transpiration database Email: jclincal@upo.es

• Bioinformatics
• Algorithms
• Computational Biology
• +5 more

Gabriel Alejandro Valiente Feruglio is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona School of Informatics (FIB) and the Department of Computer Science. He is a member of the ALBCOM research group, focusing on Algorithms, Bioinformatics, Complexity, and Formal Methods. His work integrates theoretical computer science with applications in computational biology, including phylogenetic analysis, graph algorithms, and metagenomics. Valiente’s research emphasizes the development of algorithms for biological networks, phylogenetic tree and network comparison, and efficient graph representation. He has contributed to tools like TANGO for taxonomic assignment in metagenomics and AligNet for protein-protein interaction network alignment. His publications span over 140 works in journals like BMC Bioinformatics, IEEE-ACM Transactions on Computational Biology, and Bioinformatics. He leads and collaborates in competitive research projects funded by institutions like the Catalan government, focusing on bioinformatics, computational biology, and algorithmic methods. His research also extends to LaTeX typesetting for scientific documents and the structural analysis of scientific collaborations in graph transformations.

• Computer Architecture
• High-Performance Computing
• Multicore and Manycore Systems
• +7 more

Miquel Moreto Planas is a Senior Lecturer in the Department of Computer Architecture at the Barcelona School of Informatics, Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing. His academic profile is deeply rooted in computer architecture and high-performance computing, with a strong emphasis on practical and theoretical advancements in multicore systems, memory management, and hardware acceleration. His research interests span a wide range of topics including computer architecture, high-performance computing, multicore and manycore systems, cache and memory management, hardware acceleration for genomics and AI, RISC-V processor design, processing-in-memory, interconnection networks, and real-time systems. These interests are reflected in his extensive publication record and collaborative projects. The most recent articles highlight a significant trend toward interdisciplinary research, particularly the application of advanced computer architecture techniques to bioinformatics and healthcare. Key themes include the acceleration of genomic sequence alignment using novel hardware such as processing-in-memory, the development of benchmarks for ARM-based HPC systems in genomics, and the creation of AI-based 3D decision support tools for neurosurgical applications. His work also continues to advance core computer architecture topics like cache management, power-aware resource allocation in heterogeneous systems, and the design of secure, post-quantum cryptographic hardware based on RISC-V. Fulbright Award 2011 HiPEAC Paper Award HiPEAC Paper Award 2024 HiPEAC Paper Award Moreto has been a principal investigator or key contributor to multiple competitive R&D+i projects, such as the STRATUM project for neurosurgical tools, REDIOH for open hardware, and the Laboratorio Zettaescala de Barcelona. He has advised several doctoral students, including López, G., Kostalampros, I., and Haghi, A., and is a core member of the CAP (High Performance Computing) research group at UPC. His work is characterized by strong collaborations with leading researchers like Mateo Valero, Eduard Ayguadé, and Jesús Labarta, often bridging the gap between UPC and BSC-CNS. His laboratory and team affiliations are centered around the CAP group and the Barcelona Supercomputing Center, where he contributes to cutting-edge research in high-performance and embedded computer architectures. His recent work on the BIMSA accelerator and the STRATUM project demonstrates a clear future direction toward applying high-performance computing solutions to critical problems in genomics and medicine.

Maria Alberich CarramiñanaView profile

Professor

• Algebraic Geometry
• Singularity Theory
• Geometric and Topological Methods in Robotics
• +1 more

Maria Alberich Carramiñana is a Full Professor (Catedrática) at the Universitat Politècnica de Catalunya (UPC), Department of Mathematics, affiliated with the Faculty of Mathematics and Statistics. She leads the GEOMVAP research group (Geometry of Varieties and Applications) and is part of the Institut de Robòtica i Informàtica Industrial (CSIC-UPC). Her expertise lies in Algebraic Geometry, Singularity Theory, and their applications to robotics, alongside Mathematics Outreach. She holds a Ph.D. from the Universitat de Barcelona and has held roles including Ramón y Cajal Fellow and Associate Professor at UPC. Roles: Deputy Director at CFIS-UPC, member of the IMAGINARY Committee (RSME). Education: M.Sc. (1994), Ph.D. (2000) in Mathematics from UB. Research focuses on analytic and algebraic singularities, robotic perception and manipulation (e.g., cloth modeling), and geometric-topological methods in robotics. Key projects include Interactions of Geometry with Algebra and Applications and GeomVAP . Awards include Sant Jordi IEC Awards (2022, 2024), Vincent Caselles RSME-BBVA (2022), and supervision of award-winning students (e.g., Guillem Blanco, Franco Coltraro). Grants: Competitively funded projects (e.g., Geometria de Varietats i Aplicacions ) and non-competitive initiatives (e.g., LabORA consolidation). Active collaborations in robotics and algebraic geometry.

• Mycovirology
• Fungal Pathogen Biology
• Biocontrol Strategies
• +3 more

María Ángeles Ayllón is an Associate Professor at the Polytechnic University of Madrid (UPM), leading the Virus-Fungus-Plant Interaction group. Her research focuses on understanding mycovirus-fungal host interactions and their application in biocontrol. She collaborates with the International Committee on Taxonomy of Viruses (ICTV) on viral family classifications, such as Botourmiaviridae and Hypoviridae . Her work addresses fungal pathogen control via viral agents to reduce pesticide use, aligning with EU’s Green Deal goals. Ayllón oversees a multidisciplinary team including PhD students and postdocs, such as Javier Pardo Medina and Julio L. Rodríguez-Romero. Her research spans three main areas: mycovirus diversity and evolution, molecular mechanisms of viral-fungal interactions, and development of synthetic mycoviruses as biocontrol tools. Key projects include analyzing the mycovirome of Botrytis cinerea isolates and constructing infectious viral clones for reverse genetics. She has secured grants like Molecular Mechanisms in Botrytis-Plant Interaction (PID2020-120106RB-I00) and the H2020-funded ViroPlant initiative, fostering international collaboration. Ayllón’s team explores novel mycoviruses and their impact on fungal virulence, aiming to develop eco-friendly alternatives to chemical fungicides. Her contributions include discovering new viral families and elucidating RNA silencing pathways in fungi. Ongoing efforts focus on synthetic biology approaches to enhance mycovirus efficacy in agricultural settings.

Rubén Pérez ElviraView profile

Researcher

• Neuropsychology
• Psychophysiology
• Cognitive Neuroscience
• +7 more

Rubén Pérez Elvira is a Researcher at the Universidad Pontificia de Salamanca , affiliated with the Faculty of Psychology and Department of Biological and Health Psychology . His work focuses on neuropsychology , psychophysiology , and neurofeedback interventions for clinical populations. Research Interests His research explores quantitative EEG patterns in disorders like ADHD , learning disabilities , and fibromyalgia , with methodological expertise in decision-tree modeling , systematic reviews , and operant conditioning principles . Notably, he investigates how neurofeedback protocols (e.g., Live Z-Score Training) modulate theta/beta ratios and alpha peak frequency biomarkers in developmental and neurological conditions. Key Articles Recent studies include EEG activation during mindfulness for memory encoding (2024), factorial models of attention in ADHD (2024), and physical activity's cognitive effects in aging (2024). Earlier work (2020-2021) examines neurofeedback efficacy , comorbidities in ADHD , and deep encoding benefits in Alzheimer's .

• Algorithms
• Randomized Data Structures
• Divide-and-Conquer Algorithms
• +5 more

Salvador Roura Ferret is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Sciences. He is an active researcher in the ALBCOM group, focusing on algorithmics, bioinformatics, complexity, and formal methods. His research interests span algorithms , randomized data structures , divide-and-conquer methods , and computational complexity . His work often bridges theoretical computer science with practical applications in voting systems, game theory, and educational technologies. The recent publications (2013–2025) reflect a strong trend in theoretical computer science, particularly in algorithm design, data structures (e.g., K-d trees, binary search trees), and game-theoretic models. There is a notable emphasis on mathematical rigor, complexity analysis, and formal modeling of computational problems. Best student paper award Distinció Jaume Vicenç Vives a la qualitat docent universitària (modalitat individual) 18è Premi UPC a la Qualitat en la Docència Universitària Roura has contributed to teaching innovation through projects like Eines per a la Transformació de la Docència en Programació and the development of Jutge.org , an online programming judge platform. He has participated in numerous competitive R+D+i projects, often in collaboration with researchers such as Conrado Martinez, Xavier Molinero, and Maria Serna. His work has been supported by national and regional funding programs. While no direct mention of grants or student advising is made, his extensive publication and project history suggest significant research leadership.