جست‌وجوی استاد و پژوهشگر

Danfeng Zhangمشاهده پروفایل

استاد

• Programming Languages
• Security
• Differential Privacy
• +۵ مورد دیگر

Danfeng Zhang is a faculty member at Duke University whose research sits at the intersection of programming languages and security. Active across the premier PL conferences since 2015, Zhang has served on more than two-dozen program committees and currently co-chairs the POPL Student Research Competition. Education & Affiliation: Home page: users.cs.duke.edu/~dz132 Affiliation: Duke University, United States Research Interests: Zhang’s work spans programming-language design, static and dynamic analysis, formal verification, and security. A recurring theme is developing language-based techniques that guarantee strong security and privacy properties—ranging from side-channel resistance and constant-time execution to differential-privacy proofs—while preserving performance and usability. His recent projects combine type systems, program logics, and automated reasoning to build practical verification tools for concurrent, speculative, and approximate software. Publication Trends: Across nine representative papers (2015-2024) Zhang has advanced static detection of cache side channels, automated proofs of differential privacy, and relaxed concurrency models. The trajectory shows deepening integration of security concerns into language infrastructure, with tool-building (CtChecker, SpecSafe, LightDP) that bridge formal guarantees and real-world systems. Service & Leadership: 2024 POPL Student Research Competition Co-Chair 2025 POPL Program Committee member Repeated reviewer/PC member: PLDI, SPLASH/OOPSLA, ISSTA, ECOOP, APLAS, PriSC, PASS Zhang regularly mentors student researchers through SRC sessions and workshop panels, fostering diversity and early-career participation in the programming-languages community.

Alejandro Villaverdeمشاهده پروفایل

استاد پژوهشی

• Systems Biology
• Control Theory
• Mathematical Modeling
• +۵ مورد دیگر

Alejandro F. Villaverde is a Ramón y Cajal research fellow in the Department of Systems & Control Engineering at the School of Industrial Engineering, University of Vigo, Spain. He also serves as a Research fellow at CITMAga since 2022. Previously, he worked as a postdoctoral researcher at IIM-CSIC from 2016-2020. His research focuses on the modeling of dynamical systems with particular emphasis on biological applications. Villaverde earned his PhD in Systems and Control Engineering from University of Vigo between 2005 and 2009. His academic career has centered at Spanish institutions with a strong interdisciplinary approach bridging engineering, mathematics, and biology. His primary research interests include systems biology, control theory, and mathematical modeling, with specialized expertise in structural identifiability, observability analysis, and computational tools for dynamic modeling of biological systems. Villaverde's work addresses fundamental challenges in building reliable mathematical models of complex biological processes, with applications spanning immunology to microbial communities. His theoretical contributions have practical implications for improving model reliability and predictive power in biological research. Villaverde has published extensively in top journals including PLOS Computational Biology, Bioinformatics, and IEEE/ACM Transactions on Computational Biology. His recent publications (2023-2025) reveal a consistent research trajectory focused on developing theoretical frameworks for biological model analysis, creating practical software tools, and applying these methods to cutting-edge problems. His work shows particular strength in identifying and addressing fundamental limitations in modeling approaches, especially regarding parameter identifiability and model observability constraints. Among the top 2% Scientists Worldwide 2024 (Stanford University list) Recognition as one of the EEI's top valued instructors at University of Vigo's School of Industrial Engineering Villaverde leads multiple significant research projects including DYNAMO-bio (funded by Ministry of Science, Innovation and Universities), SICOMORO (focusing on symmetries in biological communities), and PREDYCTBIO. His group actively develops open-source software tools such as STRIKE-GOLDD for structural identifiability and observability analysis. The laboratory, part of the BICO research group, includes several researchers and students working on various aspects of dynamic modeling in biology, with recent additions including Mahmoud Shams Falavarjani, Adriana González Vázquez, and multiple interns working on specialized projects.

• Internet of Things
• Transport Protocol
• Cybersecurity
• +۸ مورد دیگر

Alan Briones Delgado is a researcher at the La Salle School of Engineering , Universitat Ramon Llull , with a focus on Internet of Things , Cybersecurity , and Transport Protocols . His work spans projects funded by the European Commission and national grants, including EXCEL4HOUSING4.0 , WeB-Nimbus , and NG-SOC , addressing challenges in cloud computing education, ecological monitoring, and security operations. His research integrates Artificial Intelligence and Wireless Sensor Networks for sustainable solutions. Key research areas include Quality of Service in heterogeneous networks, Environmental Conservation via IoT, and Teaching and Learning strategies for Big Data. Projects like EcoSentinel and BTL-COP highlight his commitment to Environmental Monitoring and Community Policing applications. His collaborations extend to institutions in the UK , Albania , and Western Balkans . Contact: alan.briones@salle.url.edu

• Applied Mathematics
• Mechanics of Materials
• Building and Construction
• +۱۱ مورد دیگر

Diego Guillermo Manzanal Milano is an Associate Professor in the Department of Continuum Mechanics and Structural Theory at the Technical University of Madrid. His current institutional affiliations include: Computational Mechanics Research Group (member since October 2020; Adjunto de Dirección General since September 2020) University Research Institute for Intelligent and Sustainable Civil Infrastructures (CIVILis) (member since November 2024) His research spans highly interdisciplinary domains at the intersection of engineering and computational sciences: Core mechanics: Computational Mechanics, Mechanics of Materials, Structural Theory Civil infrastructure systems: Building and Construction, Construction & Building Technology, Geotechnical Engineering Materials science: Multidisciplinary and Miscellaneous Materials Science applications Cross-cutting domains: Applied Mathematics, Computer Science Applications, Energy & Fuels, and Geological Engineering Emerging areas: Sustainable Civil Infrastructures, Interdisciplinary Computer Science in Engineering No scientific awards were documented in the provided information. Details regarding student supervision, research grants, or advising activities were not specified in the source text.

• Electronic Engineering
• Identification Technologies
• RFID Systems
• +۱ مورد دیگر

Honorio Martin Gonzalez serves as a Full Professor and Deputy Director of Students and Coordination of Final Study Projects at Universidad Carlos III de Madrid (UC3M), specializing in Electronic Technology. His academic base is located in room 1.2.B05 of the Agustín de Betancourt building at the Leganés campus. His research centers on Electronic Engineering and Identification Technologies , with specific focus on RFID systems, sensor networks, and electronic identification solutions. These interests align with his affiliation to the University Group of Identification Technologies (GUTI), where practical applications in security and logistics systems are developed. Professor Gonzalez maintains active research portal integration through UC3M's institutional systems, with publications and project data accessible via their research portal infrastructure. His operational role includes student coordination for final degree projects within the Electronic Technology domain. Contact details include direct email ( honorio.martin@uc3m.es ) and campus telephone (916249496), reflecting his ongoing administrative and academic responsibilities at the university.

• RF Engineering
• Wireless Communication
• Internet of Things (IoT)
• +۳ مورد دیگر

Rubén Garvi Jiménez Ortiz is an Assistant Professor at Carlos III University of Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on RF engineering, wireless communication, and identification technologies, including applications in IoT and wearable systems. Contact: Email ruben.garvi@uc3m.es | Phone 916248753 | Office 1.2.F11, Agustín de Betancourt Building (Leganés Campus). His work aligns with emerging technologies in smart devices and communication protocols.

PASCUAL ALVAREZ GOMEZمشاهده پروفایل

استاد

• Ground Engineering
• Thermal Engineering
• Production Technologies

PASCUAL ALVAREZ GOMEZ is a Professor at the University of Cádiz, affiliated with the Department of Industrial Engineering and Civil Engineering. His research focuses on Ground Engineering and Thermal Engineering, with a particular emphasis on geothermal heat pumps and thermal performance modeling. He is associated with the TEP221 Thermal Engineering research group and contributes to the PAIDI area of Production Technologies. Education: PhD in Industrial Engineering from the University of Cádiz (2014), with a thesis on "Vertical Ground Heat Exchanger Simulation Model for Geothermal Heat Pumps" Research: Specializes in hybrid thermal modeling, CFD analysis for evaporation rates, and machine learning applications in corrosion prediction His publications highlight advancements in geothermal systems, low-concentration photovoltaics, and biogas environment corrosion analysis. He employs both analytical and computational fluid dynamics (CFD) approaches for energy efficiency improvements.

Gonzalo Barluenga Badiolaمشاهده پروفایل

استاد

• 3D Printing Materials
• Cement-Based Composites
• Self-Healing Concrete
• +۵ مورد دیگر

Gonzalo Barluenga Badiola is a Professor at the Department of Architecture within the School of Architecture at the University of Alcalá. His research focuses on advanced construction materials, including 3D-printable mortars, self-healing concrete, phase change materials (PCM), and nanomaterials for sustainable architecture. He leads the 'Promarq' research group, specializing in architectural projects and building materials. He holds a Ph.D. from the Universidad Politécnica de Madrid (2002), with a thesis on joint systems in facade construction. His research interests emphasize material innovation for energy efficiency, structural health monitoring, and environmental adaptation. Key areas include bio-based composites, thermal/acoustic mortar properties, and the integration of nanotechnology into construction materials. Recent work explores post-fire self-healing mechanisms, PCM-enhanced mortars, and additive manufacturing applications. His publications (2023–2025) highlight advancements in 3D-printed cement-lime mortars, nano-modified self-compacting concretes, and fiber-reinforced composites. He investigates rheological properties of materials at early stages and their structural performance. No scientific awards are explicitly mentioned, but his work is widely cited in sustainable construction and materials science. Grants and collaborations are inferred from his research output, though specific funding details are not provided here. His lab, 'Promarq,' likely focuses on experimental and numerical analysis of building materials. No student advising records are listed in the provided data.

Sara Nieves Matheu Garciaمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Information Security
• +۳ مورد دیگر

Sara Nieves Matheu García is an Assistant Professor at the Department of Information and Communication Engineering within the Faculty of Informatics at the University of Murcia. Her research focuses on cybersecurity, IoT security, and trust frameworks in smart systems. She holds a Ph.D. from the University of Murcia, completed in 2020, where her thesis addressed methodologies for IoT device security evaluation under the supervision of Dr. José Luis Hernández Ramos and Dr. Antonio Skarmeta Gómez. Her research group, Intelligent Systems and Telematics, explores innovative solutions for IoT security lifecycle management, blockchain-based certification systems, and risk-based evaluation methodologies. Notable contributions include the CERTIFY framework for IoT lifecycle security and the BIECO framework for ICT ecosystems. Her work emphasizes practical applications in smart grids, smart cities, and healthcare systems. Recent publications highlight advancements in federated cyberattack detection, MUD standard integration, and liability management in 5G architectures. While no specific awards or grants are listed, her extensive scholarly output reflects active engagement with cybersecurity challenges in IoT and critical infrastructure. Her academic contributions span theoretical frameworks, testing methodologies, and collaborative tools for enhancing IoT security. The research group collaborates across disciplines to address real-world cybersecurity threats in dynamic network environments.

Sainath Arjun Waghmareمشاهده پروفایل

پژوهشگر

• Solar Energy
• Optics
• Virtualised Computing
• +۳ مورد دیگر

Dr. Sainath Arjun Waghmare is a researcher at the University of the Balearic Islands within the Department of Industrial Engineering and Construction. He is an active member of the SOLVER R&D Group, focusing on interdisciplinary energy and computing systems research. His primary research domains include Solar Energy , Optics , Virtualised Computing , and Energy Conversion Systems , with emphasis on renewable energy technologies and computational modeling. The SOLVER group integrates physics-based approaches with engineering applications in sustainable energy. Dr. Waghmare maintains academic profiles on ORCID, ResearcherID, Scopus, and Dialnet, indicating active scholarly engagement. His office is located in room F108 (first floor) of the Mateu Orfila i Rotger building at UIB.

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

• Signal Processing
• Machine Learning
• Acoustics
• +۷ مورد دیگر

Luis Antonio Azpicueta Ruiz is an Associate Professor in the Department of Signal Theory and Communications at Carlos III University of Madrid. He leads research in the Signal Processing and Learning Group (GTSA) and Machine Learning for Data Science (ML4DS) group, focusing on interdisciplinary applications spanning acoustics, telecommunications, and machine learning. Research Interests: His work bridges signal processing theory with practical applications in environmental acoustics, adaptive filtering systems, and machine learning. Key research themes include: Advanced adaptive filtering architectures for nonlinear systems Distributed estimation in sensor networks Acoustic echo cancellation and room equalization Psychoacoustic evaluation methods Machine learning applications in noise monitoring and sound analysis Research Projects: Principal investigator for multiple funded projects including: Diagnóstico del ruido de chorro en aeronaves (AEI, 2022-2025) LearnINg FLow and Noise Dynamics via AI (COMUNIDAD DE MADRID, 2024-2026) BODYinTRANSIT - Sensory-driven Body Transformation (EUROPEAN COMMISSION, 2022-2026) Aprendizaje Automático para análisis Big Data (MINISTERIO DE ECONOMÍA, 2018-2021)

• Thermoelectric Energy Harvesting
• Waste Heat Recovery
• Sustainable Energy Systems
• +۷ مورد دیگر

Eduard Massaguer Colomer is an Assistant Professor in the Department of Mechanical and Industrial Construction Engineering at the University of Girona, where he is part of the School of Engineering. He is a Serra Húnter Fellow, reflecting his strong research and academic trajectory. He is affiliated with the Research Group in Fluids, Energy and Environmental Engineering (GREFEMA) and leads research in thermoelectric energy harvesting and waste heat recovery. His research focuses on improving the efficiency of thermoelectric generators for heat recovery in automotive, industrial, and renewable energy systems. Key areas include: Thermoelectric generator design and optimization Waste heat recovery from exhaust gases and industrial processes Integration with solar, biomass, and marine systems Dynamic modeling and experimental validation Technology transfer and spin-off development His recent publications reveal a consistent focus on energy conversion efficiency, transient thermal behavior, and practical applications of thermoelectric systems across transportation, industrial, and domestic sectors. He has contributed significantly to hybrid energy systems and low-cost solutions for rural electrification. His scientific awards include: Extraordinary Doctoral Award 2016 (UdG) Volkswagen Think Blue Award 2015 Seal of Excellence 2019 (European Commission) Multiple awards from Repsol Foundation, Iberdrola Foundation, and La Caixa He has supervised two doctoral theses and led multiple competitive research projects, securing over €320k as Principal Investigator and €500k in total funding. His work has led to four patents and five technology transfer contracts. He co-founded the spin-off Nabla Thermoelectrics SL (2016–2021), demonstrating strong industry collaboration and innovation impact. He is actively involved in research leadership, having served as guest editor for a special issue on Solar Thermoelectric Generators in MDPI Energies. His lab work centers on the Heat and Cold Laboratory at the University of Girona, where experimental validation and prototype development are conducted.

JESUS MARCOS GARCIA ALONSOمشاهده پروفایل

استادیار

• Renewable Energy
• Thermal Engineering
• Building Energy Systems
• +۳ مورد دیگر

JESUS MARCOS GARCIA ALONSO serves as an Assistant Professor in the Department of Electromechanical Engineering at the Higher Polytechnic School of the University of Burgos, specializing in thermal systems and renewable energy technologies. He earned his Doctorate from the University of Burgos in 2016 with a thesis titled Prototipo y modelización de un sistema híbrido de bomba de calor geotérmica de lazo abierto con almacenamiento de energía de baja temperatura mediante material de cambio de fase para climatización de edificios (Prototype and modeling of an open-loop hybrid geothermal heat pump system with low-temperature energy storage using phase change materials for building conditioning), supervised by Dr. Eduardo Montero García and Dr. Fernando Aguilar Romero. His research focuses on Renewable Energy integration with emphasis on Thermal Engineering and Building Energy Systems, particularly examining Geothermal, Solar, and Wind Energy applications. As an active member of the SWIFT (Solar and wind feasibility technologies) research group, he develops feasibility frameworks for sustainable energy solutions in building environments, building upon prior work with the iENERGIA Energy Engineering Research Group. Current investigations within SWIFT explore hybrid renewable energy systems, thermal storage optimization using phase change materials, and energy-efficient building conditioning technologies through experimental prototyping and computational modeling.

• Machine Learning
• Cybersecurity
• IoT
• +۳ مورد دیگر

Pedro Miguel Sanchez Sanchez is a researcher affiliated with the University of Murcia , specializing in Machine Learning , Cybersecurity , and IoT . He earned his doctorate in 2024 with the thesis Identical IoT device identification via hardware performance fingerprinting and Machine Learning , supervised by Dr. Alberto Huertas Celdrán and Dr. Gregorio Martínez Pérez. Research Interests Pedro's work focuses on applying Machine Learning and Federated Learning to solve critical challenges in Cybersecurity and IoT environments. His research includes: Developing decentralized federated learning frameworks (e.g., Flighter, ProFe) for secure and efficient model training. Designing malware detection systems using system call data and large language models . Enhancing IoT device authentication via hardware fingerprinting techniques. Exploring moving target defense strategies to counter zero-day attacks on IoT networks. Building knowledge graphs for cyber defense applications. Recent Publications Pedro's 2025–2024 publications demonstrate a strong focus on decentralized federated learning , malware mitigation , and hardware-based security . Key trends include: Advancements in zero-shot learning for multilingual tasks on edge devices. Security frameworks (e.g., Cyberforce, Sentinel) for military reconnaissance and industrial IoT . Behavioral analysis techniques for ransomware detection and continuous authentication . Robustness studies on federated learning architectures under adversarial conditions. Creation of benchmarks like LwHBench for hardware performance evaluation. Collaborations He has collaborated with researchers in the Intelligent Systems and Telematics group, contributing to projects in 5G security , crowdsensing platforms , and trusted execution environments .