Find Academic Supervisors

• Discrete Mathematics
• Combinatorics
• Computational Geometry
• +7 more

Mora Gine is a Professor in the Department of Mathematics at the Facultat d'Informàtica de Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). She is a member of the DCCG (Discrete, Combinational, and Computational Geometry) research group, where her work primarily focuses on discrete mathematics and graph theory. Her research includes contributions to metric dimension, domination in graphs, graph coloring, and geometric graphs. Her research interests span Discrete Mathematics, Combinatorics, Computational Geometry, Graph Theory, Metric Dimension of Graphs, Dominating Sets, Graph Coloring, Geometric Graphs, Theoretical Computer Science, and Mathematics Education . She has co-authored numerous publications on topics such as resolving sets, fault-tolerant resolvability, antimagic labelings, and domination variants in specific graph classes including trees, outerplanar graphs, and grids. The recent publications show a strong trend in structural and metric graph theory, particularly in domination and location problems. Her work often involves extremal results, algorithmic implications, and applications in network design and monitoring. She also contributes to educational innovation projects in engineering mathematics, such as the EngiMath@UPC+ initiative, which promotes blended learning in linear algebra instruction. Premi o reconeixement (3 instances listed in record) Mora Gine actively collaborates with key researchers such as Carmen Hernando, Ignacio M. Pelayo, María Luz Puertas, and others in the discrete mathematics community. She has participated in multiple competitive R+D+i projects, including those funded under the Spanish State Research Plans and the HORIZON 2020 program. Her work appears in reputable journals such as Discrete Mathematics , Discussiones Mathematicae Graph Theory , Bulletin of the Malaysian Mathematical Sciences Society , and Applicable Analysis and Discrete Mathematics . She is involved in academic service, including editorial contributions to journals like Theoretical Computer Science , Electronic Notes in Discrete Mathematics , and Information Processing Letters . Her research is supported by long-standing affiliations with UPC’s Institute of Mathematics and the DCCG group, which fosters interdisciplinary work between discrete mathematics and computational geometry.

• Graph Theory
• Combinatorics
• Discrete Mathematics
• +5 more

Maria Camino Teofila Balbuena Martinez is a professor in the Department of Applied Mathematics III at the Escola Tècnica Superior d'Enginyeria de Camins, Canals i Ports de Barcelona, Universitat Politècnica de Catalunya. She is a key member of the COMBGRAPH research group, focusing on combinatorics and graph theory. Her work spans theoretical and applied aspects of discrete mathematics, with strong collaborations across Spain and internationally. Research Interests: Her primary research lies in graph theory and combinatorics, particularly in identifying codes, connectivity in graphs and digraphs, extremal graph theory, and algebraic graph theory. She investigates structural properties of graphs such as girth, connectivity, and spectral characteristics, often applying these to network design and reliability. The analysis of her 15 most recent publications reveals a consistent focus on identifying codes and their spectral characterizations, connectivity parameters in regular and bipartite graphs, and constructions of cages and extremal graphs. Her work bridges combinatorial theory with applications in network optimization and fault detection. Scientific Awards: Top Cited Article 2005–2010 Advising and Grants: She has advised PhD students such as Martínez Barona, Berenice and Salas Piñon, Julian. Her research has been supported by competitive national and regional grants, including projects under the Spanish Plan Nacional de Investigación and the Catalan Pla de Recerca i Innovació. She has led and participated in projects like 'Estudio matemático de los fallos en cascada en sistemas complejos' and 'Técnicas de optimización en teoría de grafos, grupos y combinatoria'. Labs and Research Teams: She is a core member of the COMBGRAPH research group, which focuses on combinatorics, graph theory, and their applications. This group is active in publishing, organizing workshops, and training PhD students in discrete mathematics.

• Graph Theory
• Combinatorics
• Combinatorial Optimization
• +4 more

Francisco Javier Muñoz Lopez is a researcher in the Department of Mathematics at the School of Telecommunications Engineering, Universitat Politècnica de Catalunya (UPC). He is affiliated with the COMBGRAPH research group, specifically the OMGRAPH subgroup focused on Optimization Methods on Graphs. His research interests lie in Graph Theory , Combinatorics , and Combinatorial Optimization , with a strong emphasis on topological indices and their applications in chemical graph theory and network analysis. His work involves the study of various graph invariants such as the Randić, Kirchhoff, ABC, and Zagreb indices, exploring their mathematical properties and inequalities. The analysis of his recent publications reveals a consistent focus on degree-based and distance-based topological indices, with applications in mathematical chemistry and network science. His research trends include deriving bounds for indices, studying their spectral properties, and exploring generalizations of connectivity measures. He has contributed to competitive R&D projects, published in indexed journals, authored book chapters, and presented at conferences. His scholarly output demonstrates sustained engagement in discrete mathematics and graph-theoretical research. Francisco Javier Muñoz Lopez advises students and participates in research teams within the COMBGRAPH group, contributing to collaborative efforts in combinatorics and graph applications. He holds an ORCID identifier (0000-0002-2560-3540) and is actively involved in the academic community through scientific committees and technical reports.

• Computer Networks and Communications
• Renewable Energy, Sustainability and the Environment
• Control and Optimization
• +6 more

Guillermo Martinez de Lucas is a Professor at the Universidad Politécnica de Madrid (UPM) , affiliated with the Department of Civil Engineering: Hydraulics, Energy and Environment . He has been actively involved in research and teaching since 2016.

Victor Muñoz VillarragutView profile

Associate Professor

• Applied Mathematics
• Computational Mathematics
• Neural Networks
• +2 more

Victor Muñoz Villarragut is an Associate Professor at the School of Industrial Engineering, Polytechnic University of Madrid, specializing in Mathematics Applied to Industrial Engineering. He currently serves as Deputy Director of Teaching Affairs and has held various teaching positions since 2009. Current affiliation: Polytechnic University of Madrid Academic role: Associate Professor Administrative role: Deputy Director of Teaching Affairs His research focuses on: Topological dynamics for nonlinear and nonautonomous differential equations Finite element methods for lithium-ion battery simulations Neural networks with infinite delay Publications show his work bridges theoretical mathematics with industrial engineering applications, particularly in battery modeling and neural network dynamics. He has presented seminars at institutions including University of Szeged and University of Pannonia. Scientific awards include: FPU scholarship RSME scholarships for Winter School RTNS DANCE network scholarships Collaboration grant with University of Valladolid Teaching experience spans Calculus, Dynamic Systems, Numerical Methods, and Mathematics for Industrial Engineering programs. He is affiliated with the Constructive Approximation Theory and Applications research group.

Rodrigo I. SilveiraView profile

Associate Professor

• Computational Geometry
• Combinatorial Geometry
• Geographic Information Science (GIS)
• +7 more

Rodrigo I. Silveira is an Associate Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), where he conducts research in computational and combinatorial geometry. He is a member of the UPC research group on Discrete, Combinatorial and Computational Geometry and has a strong academic background, having earned his PhD at Utrecht University under Marc van Kreveld and completed prior studies at the Universidad de Buenos Aires. His research focuses on Computational Geometry , particularly problems arising from Geographic Information Science (GIS) , such as map construction, trajectory analysis, and visibility. He also works on Graph Drawing and algorithms for geometric structures. His work combines theoretical algorithm design with practical applications in spatial data. His recent publications reflect a consistent trend in geometric algorithms, including shortest paths in complex environments (e.g., portalgons), Voronoi diagrams with color constraints, robot motion coordination, and map inference from GPS data. These works appear in top-tier journals and conferences such as Algorithmica , Computational Geometry: Theory and Applications , SoCG, WADS, and LATIN. He has received scientific recognition, including a Best Paper Award at AGILE 2009 and another at SpatialGems 2021. He has supervised several PhD students to completion, including Guilermo Esteban (2024) and Pilar Cano (2020), and continues to advise current students. Rodrigo has been deeply involved in the academic community, organizing major events such as the European Workshop on Computational Geometry (EuroCG 2023), Graph Drawing 2018, and the Intensive Research Program on Discrete Geometry (2018). He has served on the program committees of SoCG, WADS, LATIN, and CCCG, and has chaired tracks for EGC and CG:YRF. His work is supported by collaborations with leading researchers such as Kevin Buchin, Maarten Löffler, Prosenjit Bose, and Vera Sacristán, and he contributes to both theoretical advances and practical implementations in geometric computing.

• Surface Physics
• Thin Films
• Scanning Tunneling Microscopy
• +9 more

Dr. Jose María Gallego Vázquez is a Tenured Scientist at the Institute of Materials Science of Madrid (ICMM), part of the Spanish National Research Council (CSIC), and since 2011, an Associate Research Professor at IMDEA Nanociencia. He obtained his Physics degree (1986) and PhD (1991) from the Universidad Autónoma de Madrid, followed by a postdoctoral fellowship at the University of California San Diego. His research focuses on experimental and computational studies of surfaces and nanomaterials. Key areas include: Surface physics and thin film growth under ultra-high vacuum Scanning tunneling microscopy (STM) and electronic spectroscopy Epitaxial growth of organic/inorganic materials Metal-organic interfaces and self-assembly processes Density Functional Theory (DFT) simulations He has authored 95+ publications and 4 book chapters, primarily in surface science and nanomaterial synthesis. His work bridges experimental techniques (STM) with computational modeling (DFT). He has supervised 5 completed PhD theses and currently mentors one doctoral candidate. His laboratory affiliation is the Computational Materials Laboratory at ICMM.

Bernd WickleinView profile

Researcher

• Triboelectric Nanogenerators
• Piezoelectric Nanogenerators
• Biomass Valorization
• +7 more

Bernd Wicklein serves as a Tenured Scientist at the Materials Science Institute of Madrid (ICMM) , part of the Spanish National Research Council (CSIC). His research focuses on developing sustainable functional materials derived from biomass for energy and environmental applications, with particular expertise in tribo/piezoelectric nanogenerators and green electronics. Academic Background: MSc in Materials Science from Stuttgart University PhD from Autonomous University of Madrid Postdoctoral research at Stockholm University Wicklein's research centers on biomass valorization and nanocomposite materials using renewable polymers. His work pioneers 3D-printed piezo/triboelectric systems for energy harvesting, smart insulation solutions, and fire-warning sensors . Key innovations include MXene-alginate foams for dual energy harvesting/fire detection and lignin-based antimicrobial materials. His group co-organizes major symposia at EMRS and MRS conferences, driving advancements in sustainable nanotechnology. Analysis of his recent publications reveals a strong trend toward multifunctional sustainable materials that integrate energy harvesting with environmental remediation. His work increasingly combines biomass-derived polymers with 2D materials like MXenes to create eco-friendly solutions for real-world challenges in energy, healthcare, and pollution control. Scientific Recognition: Ramón y Cajal Fellowship (prestigious Spanish postdoctoral program) Juan de la Cierva Fellowship (competitive early-career research grant) JIN Fellowship (junior investigator program) Visiting Professor at KAIST (2022/23) Wicklein has supervised over 25 graduate and undergraduate students and currently mentors 2 PhD candidates . He leads significant research initiatives including the national project PID2023 and consolidation project CNS2023 , both focused on 3D printing of piezo/triboelectric polymer composites. His group actively collaborates with international institutions including KAIST and Stockholm University. As principal investigator of the Nanostructured Hybrid, Biohybrid and Porous Materials Group , Wicklein directs research on biomass-derived functional materials. The group specializes in freeze-casting techniques , nanocellulose composites , and MXene-based bionanomaterials , operating within ICMM's advanced facilities for materials characterization and synthesis.

Ozan CandoganView profile

Professor

• Social and Economic Networks
• Operations Management
• Network Analysis
• +3 more

Ozan Candogan is a Professor of Operations Management at the University of Chicago's Booth School of Business. He previously served as an Assistant Professor at Duke University's Fuqua School of Business. His research focuses on social and economic networks, exploring how network data can inform operational decisions and developing analytical tools for networked systems. Ph.D. and M.S. in Electrical Engineering and Computer Science from MIT His work spans applications in ride-sharing, delivery platforms, supply chains, and online advertising. He has published in top-tier journals like Management Science and Operations Research , and his research has received awards including the Microsoft Research Ph.D. Fellowship. At Booth, he teaches core MBA courses and advanced Ph.D. classes on networks and markets. Recent publications highlight his interest in spatial resource allocation, disease mitigation via network targeting, and dynamic pricing in large networks. His methodological work combines network analysis, game theory, and optimization techniques. George Nicholson Student Paper Competition Finalist (2013) M&SOM Service Management SIG Prize Finalist (2021) Siebel Scholarship (2009) Microsoft Research Ph.D. Fellowship (2012) Professor Candogan has taught courses ranging from Operations Management fundamentals to specialized Ph.D. seminars on network theory and market dynamics.

• English Philology
• Translation Studies
• Modernist Literature
• +7 more

Yolanda Morato Agrafojo (b. 1976) is a Spanish Professor at the University of Seville since 2017, specializing in English Philology and Translation Studies . She holds a doctorate with cum laude distinction for her work on Wyndham Lewis and has degrees from the University of Huelva, University of London (Birkbeck), and Harvard University. Academic Career : Taught at Harvard, MIT, and multiple Spanish institutions. Research Focus : Avant-garde studies, 20th-century European literature, forensic linguistics, and digital humanities. Translation Expertise : Translated over 30 works including Wyndham Lewis, Manuel Chaves Nogales, and Arthur Ponsonby. Recent Articles focus on Spanish exile literature, gender studies, computational linguistics, and avant-garde aesthetics. Scientific Awards : Derek Bok Center Certificate of Distinction in Teaching (2002-2004) AEDEAN Translation Prizes (2008, 2004) W50 Santander Leading Women Program (2020) XXVI Certamen de Letras Hispánicas 'Rafael de Cózar' (2020) II Certamen Literario Feria del Libro Antiguo de Sevilla (2021) Professional Activities include directing postgraduate creative writing seminars at ISTRAD and organizing the University of Seville's International Translation Week. Her lab collaborations with institutions like Harvard, Cornell, and Fundación Juan March support computational text analysis and plagiarism detection research.

• Teaching Methodologies
• Educational Software
• Cryptography
• +3 more

Dr. José Vicente Aguirre is an Associate Professor at the University of Alicante since 2017, affiliated with the Department of Computer Science and Artificial Intelligence, Higher Polytechnic School III. He holds a PhD in Computer Science (2016) and a degree in Computer Engineering (2004), both from the University of Alicante. His research focuses on secure communication protocols, cryptography, and cybersecurity applications in computing. He has directed 6 undergraduate/master's theses in the last 5 years and actively contributes to educational software and teaching methodologies innovation. Key Research Trends Cybersecurity protocol development (P2P, mobile devices) Random generation algorithms for cryptographic applications ICT integration in higher education Statistics-to-machine-learning pedagogy Secure multimedia transmission He has participated in 5 public research projects (2009-2012, 2024) under the "Criptología y seguridad computacional" program, with collaboration in journals like International Journal of Applied Mathematics and Informatics and conferences in educational technology.

• Cryptography
• Cybersecurity
• Information Security
• +3 more

Rafael Ignacio Álvarez Sánchez is a Full Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Polytechnic School. He has held this position since 2017 after progressing through academic ranks from Teaching Assistant (2005) to Associate Professor (2007-2008). He served as Department Director from 2016-2021, Deputy Director in multiple periods (2012, 2013, 2016), and Department Secretary from 2008-2012. His academic home is firmly within the University of Alicante where he completed all his formal education. Dr. Álvarez earned his Computer Engineering degree in 2001, Advanced Studies Diploma in 2003, and PhD in Computer Science in 2005, all from the University of Alicante. He received the Extraordinary Doctorate Award in 2009 and completed a postdoctoral research stay at the Claude Shannon Institute in Dublin under the José Castillejo program in 2008. His English proficiency is certified at C2 level (Cambridge Proficiency). His research focuses primarily on cryptography, cybersecurity, and information security with expanding applications in machine learning. Recent work examines adversarial attacks in neural networks and advanced malware detection using deep learning. He has directed 7 doctoral theses, including two defended in July 2024 on adversarial neural network attacks and malware detection. His publication record spans cryptographic techniques, security protocols, and machine learning security applications. His scholarly output shows consistent focus on cryptographic methods and security systems, with recent publications addressing modern challenges in machine learning security and password protection. The research trajectory demonstrates evolution from foundational cryptographic research toward contemporary security challenges in AI systems and advanced computing environments. Extraordinary Doctorate Award (2009) Predoctoral collaboration grant from the Ministry of Education Postdoctoral grant under the José Castillejo program C2 level English certification (Cambridge Proficiency) Professor Álvarez has directed or co-directed 29 undergraduate/master's theses in the last five years and 7 doctoral theses overall. He has participated in 5 public research projects over the last five years as both coordinator and collaborator, including projects funded by the Valencian Government and Ministry of Education. His research group affiliation is with Cybersecurity and Computing (CSC) at the Institute of Computer Research. Current work appears focused on the intersection of machine learning security and traditional cryptographic methods, particularly examining adversarial attacks and advanced malware detection techniques.

• Robotics
• Artificial Intelligence
• Computer Vision
• +6 more

Francisco Gómez Donoso is an Assistant Professor at the University of Alicante , affiliated with the Department of Computer Science and Artificial Intelligence and the Institute of Computer Research (IU Informática) . He serves as Deputy Director of the Institute of Computer Research since September 2024. His research focuses on Robotics, Artificial Intelligence, and Human-Robot Interaction , with applications in assistive technologies, emotion recognition, and augmented reality. PhD in Computer Science (Doctoral School, 2020) Degree in Computer Engineering (University of Alicante, 2015) Research interests include: Development of multimodal robotic assistants for emotion recognition Photorealistic augmented reality landscapes and holographic classroom integration Deformable object manipulation in robotics Assistive technologies for visually impaired individuals and elderly care Computer vision and optical flow architectures for activity recognition AI-driven recycling solutions using multispectral imaging Key projects (public and transfer): Coordinated 10 transfer projects (2022–2025) with companies like CADEL Recycling Lab and CYPE Soft Collaborated on national research projects funded by the Ministry of Science and Valencian Government Teaching includes courses on Perception Systems, Artificial Vision, Robotics, and Discrete Mathematics at multiple engineering programs since 2013.

• Data Analysis
• Network Visualization
• Artificial Intelligence
• +3 more

Monserrat Muñoz García is an Associate Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante. She is affiliated with the Data Analysis and Visualization in Networks (ANVIDA) research group and works from the Higher Polytechnic School II. Her academic focus lies in computational methods for data analysis and network visualization. Teaching Experience : Fundamentos de Informática (6 times, last taught in 2025) for Civil Engineering students Matematicas 1 (6 times, last taught in 2025) for dual degree Computer Science & Business Administration students Matematicas 2 (4 times, last taught in 2023) for same program Research Projects : Collaborator in ANVIDA project (VIGROB-291) at University of Alicante (2023-2024) Participated in four competitive university-funded research projects focused on network data analysis (2022-2024)

• Complex Networks
• Artificial Intelligence
• Urban Networks
• +5 more

Dr. José Francisco Vicent Francés serves as an Associate Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School. He directs the Master's Degree in Data Science and leads the ANVIDA research group (Data Analysis and Visualization in Complex Networks), with active roles in teaching, research supervision, and interdisciplinary projects. His educational foundation includes a Doctorate in Computer Engineering and Computing from the University of Alicante (2007) and a Degree in Physical Sciences from the Complutense University of Madrid (1987), specializing in Automatic Computing. Research focuses on complex network analysis, AI applications in urban systems, and evolutionary algorithms for simulation. His work bridges theoretical computer science with practical urban challenges, emphasizing data visualization and spatio-temporal modeling. Recent efforts target explainable AI frameworks and network-based approaches to environmental and transportation problems. Current publications (2024-2025) reveal strong interdisciplinary trends: deep learning models for urban noise pollution, traffic accident forecasting, and carbon concentration monitoring using graph-based spatio-temporal methods. These works integrate computer science with environmental science and urban planning, demonstrating consistent innovation in network analysis and AI-driven prediction systems. Dr. Vicent has directed four doctoral theses and 17 master's/undergraduate theses in the past five years. His research funding includes seven public projects since 2020, notably the ongoing 'Development of AI and Complex Networks Techniques for Urban Sustainability Management' (2024-2025) and the 'Data Analysis for COVID-19 Prevention' initiative. As director of the ANVIDA research group, he fosters collaborations across computer science, urban planning, and environmental sciences, maintaining strong ties with municipal authorities and international research teams through projects like the 'City as a Multiple Data Network' study.