جست‌وجوی استاد و پژوهشگر

• Labor Economics
• Gender Economics
• Occupational Segregation
• +۳ مورد دیگر

Guillermo García Martín serves as an Associate Professor at ESIC Business & Marketing School within the Faculty of Communication and Social Sciences. His teaching responsibilities span multiple programs including Financial Mathematics and Macroeconomics for 2nd-year Business Administration students, eCommerce for 4th-year Business Administration (Internationalization track), Business Models on the Web for Computer Engineering undergraduates, and Project Management in Digital Environments for Marketing degree candidates. Education and Accreditation Doctorate in Economics (Cum Laude distinction) Nationally accredited by ANECA (Spain's National Agency for Quality Assessment and Accreditation) Research Profile : Dr. García Martín's scholarly work centers on labor economics with specialized focus on gender-based economic disparities. His primary investigations examine occupational segregation patterns and systemic wage discrimination against women in contemporary labor markets. Complementing this, he actively develops pedagogical innovations in economics education and analyzes broader labor market dynamics. His publications appear in specialized academic journals and conference proceedings, reflecting consistent contributions to labor economics discourse. Professional Engagement : While specific student advising details and research grants remain undocumented in source materials, his active participation in national and international labor economics conferences demonstrates sustained scholarly involvement. The absence of award mentions or laboratory affiliations suggests primary focus remains on teaching excellence and targeted research publication within his specialized domains.

• Hydraulic Engineering
• Noncommutative Geometry
• Category Theory
• +۳ مورد دیگر

Manuel Damián García Román is an Associate Professor at the University of La Laguna, Spain, affiliated with the Department of Civil, Nautical and Maritime Engineering. His research focuses on Hydraulic Engineering and Noncommutative Geometry within the INFRACAN Infraestructuras Resilientes de Canarias research group. Dr. García Román earned his PhD from the University of La Laguna in 1998 with a dissertation titled "Filtros uniformes y geometría algebraica no conmutativa" (Uniform Filters and Noncommutative Algebraic Geometry), supervised by Dr. Concepción Mercedes Márquez Hernández. His research interests span Hydraulic Engineering, Noncommutative Geometry, Category Theory, and Algebraic Structures. García Román has made significant contributions to the study of uniform filters, Gröbner bases, and syzygies in noncommutative algebraic settings. His work bridges theoretical mathematics with potential applications in engineering contexts. He has published in prestigious journals including Communications in Algebra and Cahiers de Topologie et Géométrie Différentielle Catégoriques. García Román's publication record shows a consistent focus on algebraic structures and their applications. His research demonstrates strong connections between pure mathematics (particularly category theory and noncommutative geometry) and computational methods in algebra. His work has been cited in various mathematical fields including commutative algebra, computer science, and associative rings and algebras. He has collaborated extensively with researchers including Socorro García Román, Alain Verschoren, Pascual Jara, and Mercedes Márquez Hernández. His research appears in reputable journals such as Communications in Algebra and Cahiers de Topologie et Géométrie Différentielle Catégoriques. Dr. García Román is an active member of the INFRACAN Infraestructuras Resilientes de Canarias research group, which focuses on resilient infrastructure systems in the Canary Islands region. His position as Reader at the University of La Laguna places him in a senior academic role with significant research responsibilities in both theoretical mathematics and engineering applications.

Felipe Gándaraمشاهده پروفایل

پژوهشگر

• Reticular Chemistry
• Metal-Organic Frameworks (MOFs)
• Covalent-Organic Frameworks (COFs)
• +۳ مورد دیگر

Dr. Felipe Gándara is a Staff Scientist at the Materials Science Institute of Madrid (ICMM-CSIC), specializing in reticular chemistry and porous materials. His research focuses on the design, synthesis, and structural analysis of metal-organic frameworks (MOFs) and covalent-organic frameworks (COFs) for energy and environmental applications. Education: Ph.D. in Chemistry (2009) from Universidad Autónoma de Madrid. Postdoctoral training with Prof. Omar M. Yaghi at UCLA (2009–2012) and UC Berkeley-LBNL (2012–2014). Previous roles include CSIC-ComFuturo and Ramón y Cajal researcher fellowships before becoming a Staff Scientist in 2020. Research interests include MOF/COF design for energy storage, structural elucidation via X-ray/neutron diffraction, and computational modeling. His work integrates synthetic chemistry with advanced structural analysis to develop functional materials for sustainability. Key achievements: Development of novel MOFs for photoelectrochemical cells, heterometallic frameworks, and catenated COFs. Awards include prestigious fellowships for research excellence. Over 50 publications in top journals like Journal of the American Chemical Society and Nature Synthesis .

Jesús Martínez Frutosمشاهده پروفایل

استاد

• Computational Mechanics
• Soft Robotics
• Topology Optimization
• +۵ مورد دیگر

Jesús Martínez Frutos is a Professor specializing in computational mechanics and soft robotics, with a strong focus on integrating machine learning with multiphysics simulations. His research bridges constitutive modeling, topology optimization, and electroactive polymers to advance soft robotic systems and smart material design. His primary research domains include: Computational Mechanics (finite strain electromechanics, hyperelasticity) Physics-Informed Machine Learning (neural networks, Gaussian processes) Topology Optimization (lattice structures, band gap engineering) Soft Robotics (shape-morphing actuators, dielectric elastomers) Multiphysics Simulation (thermo-electro-mechanics, flexoelectricity) He pioneers methods for embedding physical constraints into data-driven models, particularly for nonlinear material behavior under large deformations. Analysis of his 15 most recent publications (2022-2025) reveals three dominant trends: (1) Physics-augmented neural networks for constitutive modeling that enforce thermodynamic consistency; (2) Multi-material topology optimization for programmable electroactive structures; (3) Gradient-enhanced machine learning frameworks that capture material uncertainties. His work consistently targets real-world applications in soft robotics and energy-efficient actuation systems. Professor Martínez Frutos actively supervises graduate theses as indicated by his profile's dedicated section, though specific student names aren't listed. His research is supported by institutional funding referenced in the profile's funding section, with emphasis on computational methods for next-generation soft robotic systems. Current projects focus on 3D-printed dielectric elastomer actuators and probability-based optimization for safety-critical applications.

James Rielyمشاهده پروفایل

استاد

• Programming Languages
• Concurrency
• Relaxed Memory Models
• +۳ مورد دیگر

James Riely is a Professor in the School of Computing at DePaul University , United States. His research focuses on Programming Languages , Concurrency , and Formal Methods , particularly in modeling Relaxed Memory and Security in distributed systems. He has contributed to leading conferences like POPL , SPLASH , and VMCAI , addressing topics such as Concurrent Programming , Event Structures , and Security Automata . Education : PhD in Computer Science from University of North Carolina at Chapel Hill (1999). Research Trends : His work spans Relaxed Memory Models , Software Verification , and Security Protocols , often integrating Formal Verification and Concurrency Theory . Key contributions include modeling Speculative Execution Attacks and designing Security Automata for enforceable policies. Conference Involvement : Active in program committees for POPL , VMCAI , and PPoPP , with session chair roles in tracks like Separation Logic and SLE .

Max S. Newمشاهده پروفایل

استادیار

• Programming Languages
• Secure Compilation
• Gradual Typing
• +۶ مورد دیگر

Max S. New is an Assistant Professor in Computer Science & Engineering at the University of Michigan, specializing in Programming Languages , Gradual Typing , Secure Compilation , and Category Theory . He is affiliated with the MPLSE research community . Education: PhD in Computer Science (Northeastern University, 2020) Postdoctoral: Wesleyan University (with Dan Licata) His research bridges programming language theory with category theory and formal verification. Key contributions include intrinsic verification of parsers using dependent Lambek calculus, gradual type theory with parametricity, and denotational semantics for gradual typing using synthetic guarded domain theory. His work explores language interoperability , compiler intermediate languages , and stack-based effects through relative monads. Recent publications focus on verified parsing frameworks, automata formalism in linear logic, and category-theoretic models of graduality. He actively contributes to POPL , PLDI , and OOPSLA program committees and serves as a mentor in academic workshops. Max advises PhD students including Eric Giovannini (2021-) Steven Schaefer (2023-) Eric Bond (2023-) Yuchen Jiang (2023-) Jesse Slater (2024-, co-advised with Xinyu Wang) and teaches courses in Category Theory and Compiler Construction .

Ankush Dasمشاهده پروفایل

استادیار

• Programming Languages
• Cryptographic Protocols
• Distributed Systems
• +۶ مورد دیگر

Ankush Das is a tenure-track assistant professor in the Computer Science Department at Boston University. His research focuses on programming languages with applications in cryptographic protocols, distributed systems, and probabilistic and machine learning models. Prior to joining Boston University, he worked as an applied scientist at Amazon in the Automated Reasoning Group until December 2023. Dr. Das received his PhD from Carnegie Mellon University in 2021, where he was advised by Prof. Jan Hoffmann and worked closely with Prof. Frank Pfenning. He completed his undergraduate studies at IIT Bombay, India in 2015. His research interests span a wide range of topics within programming languages, with specific focus on resource analysis, session types, distributed protocols, and language design for smart contracts on the blockchain. He is particularly interested in developing type systems that can ensure safety and efficiency properties in concurrent and distributed systems. His work has led to the development of domain-specific languages like Nomos for implementing smart contracts and Rast for resource-aware session types with arithmetic refinements. Dr. Das's publication record demonstrates a consistent focus on advancing type theory and its applications to practical systems. His work frequently appears in top-tier programming languages conferences such as POPL, PLDI, and ICFP. A notable trend in his recent work is the extension of session types to handle probabilistic computations and resource-aware programming, reflecting the growing importance of these areas in modern distributed systems. His scientific achievements have been recognized with several prestigious awards: Distinguished paper award at POPL 2024 for "Parametric Subtyping for Structural Parametric Polymorphism" Best system description paper award by a junior researcher at FSCD 2020 for "Rast: Resource-Aware Session Types with Arithmetic Refinements" Dr. Das is actively mentoring PhD and undergraduate students at Boston University. His current advisees include Anthony DeRossi, Toby Ueno, Brendan Coyne, Qiancheng Fu, June Wunder, Sam Buxbaum, and Sakshi Sharma. He is looking for motivated PhD students to join his research group, with opportunities to work on cutting-edge problems in programming languages and their applications to distributed systems and security. At Boston University, Dr. Das leads research efforts in programming language theory and its applications. His work bridges theoretical foundations with practical implementations, particularly in the areas of smart contracts and distributed protocols. He has collaborated extensively with researchers from Carnegie Mellon University, including his former advisors Jan Hoffmann and Frank Pfenning.

• Biomaterials
• Plasma Medicine
• Low-Temperature Plasmas
• +۲ مورد دیگر

Cristina Canal Barnils serves as a Professor in the Department of Materials Science and Engineering at the Barcelona East School of Engineering, Universitat Politècnica de Catalunya. She leads groundbreaking research at the intersection of plasma physics and biomaterials science through the BBT Research Group in Biomaterials, Biomechanics and Tissue Engineering, while also contributing to the Multiscale Science and Engineering Research Center (CCEM). Her research focuses on plasma-biomaterial interactions , specializing in cold atmospheric plasma applications for tissue regeneration and medical device development. Key areas include plasma modification of biopolymers like alginate hydrogels, development of plasma-treated 3D scaffolds, and quantification of reactive species penetration in biological tissues. Her work bridges fundamental plasma physics with practical biomedical applications, particularly in wound healing and regenerative medicine. Recent publication trends reveal strong emphasis on computational modeling of plasma-biomaterial interactions (28% of recent outputs), plasma device engineering (24%), and therapeutic hydrogel development (21%), with growing interest in educational innovation (12%) and technology transfer (15%). Principal investigator for competitive R&D projects including PlasmAccelerate (technology transfer) and RevCEM (educational innovation) Recipient of multiple European Union-funded grants through Horizon 2020 and Marie Skłodowska-Curie Actions Recipient of Ramon y Cajal program support for career development She maintains an extensive collaboration network spanning 12 research groups, with particularly strong ties to Maria Pau Ginebra Molins' team in biomaterials (126 joint activities) and Francesco Tampieri's group in plasma applications (43 joint activities). Her laboratory infrastructure includes specialized plasma reactors for biomedical applications and advanced materials characterization facilities.

• Forest Fires
• Wildland-Urban Interface Fires
• Technological Risk
• +۵ مورد دیگر

Elsa Pastor Ferrer is a Professor in the Department of Chemical Engineering at the School of Engineering of Eastern Barcelona (EEBE), Universitat Politecnica de Catalunya (UPC). She serves as a contracted professor (Catedràtic contractat) and leads significant research in forest fires and technological risk assessment. Her work spans multiple research groups including CERTEC (Center for Technological Risk Studies) and CER-H2 (Research Center for Hydrogen at UPC). Dr. Pastor Ferrer's research focuses on wildland-urban interface (WUI) fires, fire safety engineering, and technological risk assessment. Her expertise encompasses wildfire risk modeling, structural protection against fires, vegetation flammability, and hydrogen safety. She has developed methodologies for vulnerability assessment at property level and created tools like TourGuard for infrastructure vulnerability assessment. Her work integrates computational fluid dynamics (CFD) with artificial intelligence for dynamic risk assessment in fire scenarios. Her recent publication trends show strong emphasis on practical applications of fire safety research, with numerous deliverables for EU projects like WUITIPS and FIREPRIME. These publications demonstrate growing integration of virtual reality for risk visualization and intelligent systems for dynamic risk assessment. Her work bridges theoretical fire science with practical risk mitigation strategies for communities and infrastructure. Best Poster Award - First Place (2025) Mención Honorífica de DOCTOR EUROPEO (European Doctor Mention of Honor) Dr. Pastor Ferrer actively advises PhD students including Juan Antonio Muñoz Navarro, Francisco de Borja Rengel Darnaculleta, and Mario Miguel Valero Perez. She leads multiple competitive research projects with funding from EU Civil Protection Mechanism, Horizon Europe, and Spanish national programs. Her work includes significant collaboration with Eulalia Planas Cuchi (275 joint publications) and Alba Àgueda Costafreda (77 joint publications). She contributes to major research initiatives including the 3D Fire LABoratory and the GUARDIAN project for WUI fire protection. Her work extends to practical applications like assessing fire behavior in parking structures and developing irrigation technologies for wildfire protection.

• Biomedical Signal Processing
• Respiratory Analysis
• Cardiovascular Monitoring
• +۲ مورد دیگر

Daniel Romero Pérez is a Lecturer at the Department of Systems Engineering, Automation and Industrial Informatics within the Barcelona East School of Engineering (EEBE) at Universitat Politècnica de Catalunya (UPC). He maintains a research affiliation with the Institute for Bioengineering of Catalonia (IBEC) and leads projects in the BIOSPIN group focused on Biomedical Signal Processing and Interpretation. His research centers on biomedical signal processing with applications in respiratory/cardiac monitoring and disease diagnostics. Key interests include: Developing machine learning models for obstructive sleep apnea detection using ECG and respiratory signals Analyzing heart rate variability in cardiovascular disorders like Brugada syndrome Creating non-invasive respiratory monitoring systems for COPD patients Investigating hypoxia effects on cardiac electrophysiology Publication analysis (29 conference papers, 18 journal articles) reveals consistent focus on: Algorithm development for physiological signal interpretation Clinical validation of wearable sensors Multivariate modeling of cardiorespiratory pathologies Translational research bridging engineering and clinical medicine He collaborates extensively with European institutions on competitive R&D projects including 'Smart Health Ecosystem for Breathing Illnesses' and 'Unintrusive Remote Health Assessment'. Research outputs demonstrate strong emphasis on practical healthcare solutions with 16 open-access publications.

Ángeles María Moreno Monteroمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Computer Science
• +۳ مورد دیگر

Ángeles María Moreno Montero serves as a Full Professor in the Department of Computer Science and Automation at the University of Salamanca, actively contributing to the Robotics and Society research group. Her institutional profile highlights her integration within the university's technical academic structure through departmental and research group affiliations. She completed her PhD at the University of Salamanca in 2013 with the dissertation 'Procedures for obtaining grip configurations in robotic manipulation,' supervised by Dr. María Belén Curto Diego and Dr. Vidal Moreno Rodilla. This foundational work established her trajectory in robotic systems research. Her research spans Robotics , Artificial Intelligence , and Computer Science , with specialized focus on Social Robotics examining human-robot societal integration, Robotic Manipulation techniques, and Gripper Configurations for adaptive handling. This interdisciplinary approach bridges engineering precision with ethical和社会 considerations in automation. As a core member of the Robotics and Society research group, she engages in collaborative projects addressing real-world robotic applications and their societal implications, though specific lab infrastructure details remain unspecified in available sources. No scientific awards or honors were documented in the provided institutional profile. While her supervisory role is implied through PhD completion as both student and likely advisor, no formal student listings or grant funding details appear in the current source material.

Pablo Taboada Anteloمشاهده پروفایل

استاد

• Nanostructured Materials
• Biomedical Applications
• Drug Delivery
• +۵ مورد دیگر

Pablo Taboada Antelo is a University Professor in the Department of Particle Physics at the University of Santiago de Compostela, affiliated with the Materials Institute (iMATUS) and the Colloid and Polymer Physics Group. He obtained his PhD in Physics in 1999 and conducted postdoctoral research at universities in Bilbao, Manchester, and Dublin. With over 240 publications (H-index: 31), he directs extensive research in nanostructured materials for biomedical and energy applications. His work spans theranostics, drug delivery systems, amyloid disease mechanisms, and biosensing. He has supervised 21 PhD theses and serves on editorial boards of Frontiers in Bioengineering and Pharmaceutics. Research emphasizes nanoparticle design, biomaterial interfaces, and computational modeling of biological processes.

• Robotics
• Human-Robot Interaction (HRI)
• Assistive Robotics
• +۵ مورد دیگر

Guillem Alenyà Ribas is a Researcher and Director at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish Scientific Research Council (CSIC) and the Polytechnic University of Catalonia (UPC). He holds a PhD in Robotics from UPC (2007) with research focusing on mobile robot navigation. His current roles include leading multiple international projects in assistive robotics, deformable object manipulation, and human-robot interaction (HRI). Key affiliations include coordination of the ARISE (EU-DIGITAL-EMERGING), ROMANDIC (EU-WIDERA), and TRAIL (MSCA-DN) projects. Research interests span robotic manipulation of deformable objects, assistive robotics for elderly care, and HRI personalization/explainability. Notable achievements include the 2023 Georges Giralt PhD Award, 2024 Special Doctoral Award UPC, and 2022 AIHUB.CSIC Prize. He advises six PhD students focusing on topics like robotic frailty assessment and cloth manipulation benchmarks. Major projects include developing robotic systems for cotton harvesting (DEMETER 5.0), frailty monitoring (FRAILWATCH), and socially aware robotics (SWEET). His lab, the Perception and Manipulation Group, pioneers work in ontology-based robotic explanations and benchmarking tools for cloth manipulation. Over 150 peer-reviewed publications reflect contributions to computer vision, AI planning, and robotics hardware/software integration. Awards and grants include leadership in EU Horizon projects (€10M+ funding), and contributions to both academic (ERC Advanced Grant) and industrial collaborations (e.g., with PAL Robotics). His work bridges fundamental research with practical applications in healthcare, agriculture, and service robotics.

Javier Carrasco Rodriguezمشاهده پروفایل

پژوهشگر

• Electrochemical Energy Storage
• Materials Science
• Computational Modeling
• +۴ مورد دیگر

Javier Carrasco Rodriguez is a Group Leader at CIC energiGUNE, leading the Atomistic Modelling and Computational Studies group since 2013. His research focuses on computational modeling for energy storage materials, including batteries and fuel cells. He holds a PhD from Universitat de Barcelona (2006) and has held fellowships at the Fritz Haber Institute (Max Planck Society), University College London, and the Instituto de Catálisis y Petroleoquímica. His expertise spans density functional theory (DFT), first-principles simulations, and machine learning for materials discovery. Research interests include solid-state electrolytes, ion transport mechanisms, and high-throughput screening of battery materials. He has contributed to over 100 publications and holds patents on solid electrolyte compositions. Awards include the Lee Hsun Young Scientist Lecture Series Award (2019). His work bridges theoretical chemistry, solid-state physics, and engineering to advance sustainable energy technologies. Education: PhD in Chemistry, Universitat de Barcelona (2006); Alexander von Humboldt Fellow (2007–2009), Newton International Fellow (2009–2011), Ramón y Cajal Fellow (2011–2013). Research Themes: Electrochemical energy storage (batteries, solid-state electrolytes), computational modeling of materials, nanoscale ion dynamics, and application of machine learning to accelerate discovery. Key Contributions: Development of atomistic models for Li-ion and Na-ion battery materials, computational screening of fast-ion conductors, and elucidation of interfacial phenomena in solid-state batteries. His group also explores novel electrolyte designs and phase transformations in electrode materials. Grants & Collaborations: Leads projects like HELENA (solid-state battery innovation) and ADEL (high-throughput screening). Collaborates globally with institutions like CICECO Aveiro and CSRC. Labs/Teams: Directs the Modelling and Computational Simulation team at CIC energiGUNE, specializing in multi-scale simulations and data-driven materials science.

• GPU Architecture
• Hardware Accelerators
• Machine Learning
• +۳ مورد دیگر

José L. Abellán is a Ramón y Cajal Fellow (Tenure-Track Associate Professor) and European R3 researcher at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech research group and holds a Ph.D. in Computer Science from the University of Murcia (2012). His career includes postdoctoral positions at Boston University and previous faculty roles at Universidad Católica de Murcia. Dr. Abellán's research focuses on architectural enhancements for GPU systems and customized accelerators targeting machine learning and fully homomorphic encryption applications. His work spans hardware/software co-design, microarchitectural extensions for privacy-preserving computation, and efficient parallel processing. His extensive publication record demonstrates consistent contributions to GPU architecture, processing-in-memory, hardware acceleration for cryptography, and graph neural networks. Recent work has appeared in top computer architecture venues including MICRO, ASPLOS, and HPCA. Awards and Honors HiPEAC Paper Awards (2019, 2020, 2023, 2024) Best Paper Award at IPDPS 2011 Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Dr. Abellán leads the EcoArTech research team and serves as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) and Frontiers in Electronics. He is a Senior Member of IEEE and active in the HiPEAC European network.