جستجوی استاد راهنمای دانشگاهی

• Physical Chemistry
• Computational Chemistry
• Theoretical Chemistry
• +۷ مورد دیگر

Sergei F. Vyboishchikov is an Associate Professor at the University of Girona (Spain), affiliated with the Institute of Computational Chemistry and Catalysis and the Department of Chemistry. His research focuses on computational and theoretical chemistry, particularly in solvation energy methods, quantum chemical calculations, and applications of artificial neural networks in chemistry. **Education**: Ph.D. in Theoretical Chemistry, Philipps-Universität Marburg, Germany (1996) M.Sc. (Diploma) in Chemistry, Lomonosov University, Moscow, Russia (1992) **Research Interests**: His work emphasizes solvation energy methodologies (e.g., ESE-GB-DNN, AtomicESE), development of neural network-based models for solvation predictions, density functional theory (DFT) applications, and molecular modeling of transition metal compounds. He also investigates energy decomposition schemes and atomic charge partitioning. **Publications**: His recent work highlights advancements in solvation energy calculations using deep learning frameworks and contributions to understanding molecular interactions in solvents. **Advising**: Supervised two Ph.D. students: Dr. Samat Tussupbayev and Dr. Eugene Gorbatenko. **Software Contributions**: Developed open-source programs like ESE-GB-DNN, AtomicESE, and uESE for solvation energy estimation, available on GitHub.

Ane Irizar-Arrietaمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• User Experience Design
• Sustainable Behavior Change
• +۳ مورد دیگر

Ane Irizar-Arrieta is a Researcher affiliated with the University of Deusto's DeustoTech Social Challenges Unit. She holds degrees in Art Electronic and Digital Design and Graphic Design from Universitat Ramon Llull (Barcelona) and a master's in User Experience Design from the Universidad Internacional de la Rioja (2016). She is currently pursuing a PhD in Engineering Program for the Information Society and Sustainable Development at the University of Deusto. Her primary role has been as a Research Assistant at DeustoTech from October 2016 to December 2021, where she focused on Human-Computer Interaction (HCI), User Experience (UX), and human-centered design applied to sustainability challenges. Her research interests revolve around leveraging IoT and smart technologies to foster sustainable behavior through tangible and digital interfaces. She has contributed to projects involving experience design, user research, and behavior change interventions in smart environments. Notable collaborations include work with Diego Casado-Mansilla and Diego López-de-Ipiña, among others, on frameworks for energy efficiency and behavior change in public and workplace settings. Publications highlight her work on eco-feedback systems, adaptive user models (FOX Model), and the socio-economic factors influencing sustainable behavior. Her interdisciplinary approach bridges technology, design, and environmental science to address societal challenges. Projects include applied research, innovation initiatives, and collaborative efforts with industry and academic partners. Ane’s contributions span 15 publications, including journal articles, conference papers, and a book section. She has been involved in 6 projects (2 as researcher, 4 as research assistant), emphasizing practical applications of her theoretical work. Despite no explicit awards listed, her prolific publication record and active role in interdisciplinary projects underscore her academic and professional impact.

• Systems Engineering
• Robotics
• Neural Networks
• +۴ مورد دیگر

José Demetrio Piñeiro Vera is an Associate Professor at the Universidad de La Laguna, affiliated with the Department of Computer Science and Systems Engineering. His research interests span systems engineering, robotics, neural networks, medical diagnosis, bifurcation analysis, and automation. He leads the GRULL robotics research group and has contributed extensively to interdisciplinary fields combining AI, engineering, and healthcare. He holds a PhD from the Universidad de La Laguna (1997), focusing on knowledge-based systems for diagnosing brain pathologies from EEG signals. His academic career includes over three decades of teaching and research, with a focus on real-world applications of neural networks, control systems, and robotics. His research emphasizes neural network dynamics, including bifurcation analysis in recurrent networks, automated medical diagnosis systems, and robotics navigation. Notable contributions include ontology-based indoor navigation systems, probabilistic collision detection algorithms, and tools like the Evenet2000 neural network toolkit. His work bridges theoretical computer science with practical applications in healthcare and autonomous systems. Collaborations span topics from hospital management simulations to multimedia technologies for developmental dyslexia treatment. His expertise integrates simulation, knowledge-based systems, and hardware experiments in education and research laboratories.

Marta Brugeraمشاهده پروفایل

مدرس

• Automotive Engineering
• International Education
• Computer Vision
• +۳ مورد دیگر

Marta Brugera is a Lecturer affiliated with the Department of Automotive Engineering at Nürtingen-Geislingen University of Applied Sciences. She contributes extensively to academic communication through blog articles focusing on interdisciplinary topics such as automotive engineering education, international student programs, and industry-academia collaborations. Her work emphasizes global academic mobility and event management, as evidenced by her coverage of conferences like IROICA and internships in environmental science sectors. Her professional activities include documenting academic initiatives like the orientation week for international students at UVic-UCC and profiling student experiences such as Lluís Bertrans' internship. She also highlights technological advancements in fields like computer vision, showcasing presentations by Manuel Martínez Torres. Marta's contributions bridge technical disciplines (automotive engineering, computer vision) with educational and international outreach, reflecting a dual focus on academic rigor and global engagement.

ANTONIO JESUS GARCIA LOUREIROمشاهده پروفایل

استاد

• Semiconductor Device Modeling
• Parallel Computing
• Nanoelectronics
• +۴ مورد دیگر

Antonio Jesús García Loureiro is a Professor at the University of Santiago de Compostela, affiliated with the Faculty of Physics and the Department of Electronics and Computing. He is part of the Center for Research in Intelligent Technologies (CITIUS) and the ARQCOMP research group in Computer Architecture. His PhD, completed in 2000 at the same university, focused on semiconductor device simulation (BIPS3D). His research emphasizes semiconductor device modeling, parallel computing, solar cell optimization, and cloud infrastructure evaluation. He has developed advanced 3D simulators for nanoscale devices and studied high-efficiency solar cells, including tandem and thin-film technologies. His work spans computational electronics, nanoelectronics, and high-performance computing, with applications in space and environmental technologies. Collaborations include studies on GaInP-based laser converters and CuO-ZnO thin films for environmental remediation. Education: PhD in Electronics and Computing (2000). Research interests include semiconductor device variability, nanowire and nanosheet FETs, and parallel algorithms for large-scale simulations. He has contributed to optimizing cloud platforms like Apache CloudStack and evaluated hypervisors (Xen, KVM). His recent work involves machine learning integration with TCAD simulations for defect analysis and process optimization. Key projects include GaAs vertical tunnel junction solar cells and SiC-based laser power converters for space applications. He is also involved in interdisciplinary studies, such as gas sensor development and antibiotic degradation using doped oxides.

• Nonlinear Dynamics
• Fluid Mechanics
• Chemical Physics
• +۵ مورد دیگر

Vicente Perez Muñuzuri is a Professor at the University of Santiago de Compostela, affiliated with the Department of Particle Physics (Faculty of Physics) and the Center for Interdisciplinary Research in Environmental Technologies (CRETUS). He holds a Ph.D. from the same university (1992) with a thesis on reaction-diffusion systems and spiral wave dynamics. His research focuses on nonlinear physics, fluid dynamics, and interdisciplinary environmental studies, including wave energy assessment, oceanographic modeling, and computational fluid dynamics applications in medicine. Key research areas include: (1) HF radar-based wave energy resource analysis in NW Spain, (2) nonlinear fluid dynamics and viscous fingering in Hele-Shaw flows, and (3) Lagrangian transport models for marine debris and microplastics. His work bridges physics, engineering, and environmental science, addressing challenges in renewable energy, pollution tracking, and climate-related phenomena such as extreme precipitation patterns. Recent contributions include optimizing coronary artery segmentation via machine learning and modeling magnetic stimulation effects in clinical MRI. His studies often integrate numerical simulations and experimental validations, as seen in his exploration of spiral wave dynamics in chemical systems like the Belousov-Zhabotinsky reaction. Notable projects include the study of the South Indian Ocean Countercurrent’s role in Madagascar plankton blooms and the development of atmospheric transport models for pollutant dispersion forecasting. His interdisciplinary approach reflects collaboration across physics, marine science, and biomedical engineering domains.

Alvaro E. Prietoمشاهده پروفایل

استادیار

• Linked Open Data
• Predictive Analytics
• Business Intelligence
• +۷ مورد دیگر

Alvaro E. Prieto is an Assistant Professor of Computer Languages and Systems at the University of Extremadura (Spain), affiliated with the Quercus Software Engineering Group. He holds a Bachelor's in Computer Science (2000) and a PhD in Computer Science (2013) from the same institution. His research focuses on Linked Open Data, Predictive Analytics, Business Intelligence, and workflow systems, with notable contributions to reproducible data science and IoT simulation environments. Recent work includes analyzing ChatGPT's impact on engineering education and developing decision support frameworks for training programs. Notable achievements include the JENUI 2023 Best Work award for innovative analysis methodologies. His projects often involve collaborations with academic and municipal partners, addressing challenges in smart cities, administrative processes, and educational technology. Key publications explore model-driven approaches for data analysis reproducibility, ontology-based workflow adaptation, and cloud cost estimation techniques.

Jorge Perianez-Pascualمشاهده پروفایل

پژوهشگر

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Jorge Perianez-Pascual is a researcher at i3lab and co-founder of MetrikaMedia, currently pursuing doctoral studies at Universidad de Extremadura (UEx). His educational background includes: Bachelor in Software Engineering (2017) from Universidad de Extremadura Master in Software Engineering (2019) from Universidad de Extremadura His research spans Software Engineering and Artificial Intelligence with specific focus on: Machine Learning & Predictive Analytics Multimedia processing applications Industry 4.0 implementations Business Intelligence systems Data Visualization techniques Advanced audio classification methods His recent publications demonstrate innovation in audio classification using deep learning, particularly exploring EnCodec's latent space as an alternative to traditional spectrogram-based approaches. His work shows significant improvements in computational efficiency while maintaining classification accuracy across music genres, speech-music discrimination, and ambient sound recognition tasks. As co-founder of MetrikaMedia, he actively bridges academic research with practical applications, participating in events like the Winter School of AI and SE in Doha and Foro Conecta Empresas 2022.

• Artificial Intelligence
• Machine Learning
• E-Learning Systems
• +۵ مورد دیگر

Dagoberto Castellanos Nieves is an Associate Professor at the University of La Laguna's Department of Computer Science and Systems Engineering. He is affiliated with the Programa Oficial de Doctorado en Ingeniería Industrial, Informática y Medioambiental and actively contributes to research groups GCI Computación Inteligente y Ciencia de Datos and GCAP Grupo de Computación de Altas Prestaciones . His work focuses on semantic web technologies, AI-driven education systems, energy-efficient machine learning, and high-performance computing. He holds a PhD from the University of Murcia (2007), with a thesis on semantic web-based evaluation systems in e-learning environments. Education: PhD in Computer Science from Universidad de Murcia (2007) Research interests span human-centered AI, automated machine learning for sustainability, generative adversarial networks in educational tech, and the socio-technical impact of digital platforms. Recent studies address migrant integration via AI, pandemic-era academic performance analysis, and green computing strategies for energy efficiency. He has pioneered semantic platforms like OntoEnrich and OeLE for knowledge management and assessment systems. Publications reflect a strong focus on applying AI to education, sustainability, and data-driven decision-making. Notable contributions include frameworks for RAG systems with LLMs, energy-optimized ML algorithms, and comparative analyses of virtual campus usage during the pandemic. Collaborative projects include MOOC development on AI in education and interdisciplinary work on open innovation platforms in financial sectors. No scientific awards are explicitly mentioned, but his prolific research output and institutional contributions highlight sustained academic excellence. Advising activities include thesis supervision in semantic web domains. He collaborates across departments through cross-disciplinary research teams focused on computational linguistics and knowledge engineering. Labs/Teams: Active membership in intelligent computing and high-performance computing research groups at ULL, with ongoing projects in AI ethics, sustainable ML, and digital transformation of educational systems.

Moisés Díaz Cabreraمشاهده پروفایل

دانشیار

• Pattern Recognition
• Document Analysis
• Handwriting Recognition
• +۵ مورد دیگر

Moisés Díaz Cabrera is an Associate Professor in the Department of Physics at the University of Las Palmas de Gran Canaria. His research focuses on pattern recognition, handwriting analysis, biometrics, and robotics. He holds multiple advanced degrees from the same institution, including a PhD in Engineering (2016) and an M.Ed. in Secondary Education (2013). His work includes collaborations with institutions like the University of Hertfordshire (UK), University of Salerno (Italy), and Vislab (University of Parma). He has advised over 20 student theses and projects, emphasizing robotic control systems and biomedical applications. Key research areas include: robotics with IMUs, lameness detection in livestock, and biometric authentication via signatures. He serves as a reviewer for IEEE T-ITS, PRL, and CVIU, and is an active member of IEEE and IAPR. His contributions span academic publications, conference participation, and open-source databases like CowScreeningDB for livestock health monitoring. Education includes M.Tech (2010), M.Sc. (2011), and PhD (2016) in Engineering, alongside pedagogical training (M.Ed., 2013). His labs focus on interdisciplinary projects blending signal processing, computer vision, and robotic kinematics.

Israel Alexander Constant Lovesمشاهده پروفایل

استاد

• Machine Learning
• Educational Research
• Biostatistics
• +۶ مورد دیگر

Israel Alexander Constant Loves is a Professor at Camilo José Cela University and the European University of Madrid (UCM), specializing in Educational Research and Biostatistics. He holds a PhD in Education (ongoing at UCM) alongside multiple master’s degrees in Methodology of Behavioral Sciences, Educational Research, and Machine Learning in Research. His professional experience includes fellowships at the National Institute of Statistics and the Student Observatory of Complutense University. He teaches Statistics, Biostatistics, and Research Methods while focusing on identifying variables influencing educational phenomena using Machine Learning algorithms. Education: Pedagogy (UCM), M.Sc. Educational Research (UCM), M.Sc. Behavioral & Health Sciences (UCM/UAM/UNED) Research interests emphasize quantitative analysis of educational systems, including university access profiles, academic performance determinants, and policy evaluation using large datasets like PISA. Active in the research group 'Measurement and Evaluation of Educational Systems' and contributing to projects like the R&D&I study on teacher candidate profiles. Labs/Teams: Member of the 'Measurement and Evaluation of Educational Systems' research group.

Raquel Castilloمشاهده پروفایل

پژوهشگر

• Computational Biochemistry
• Enzyme Reaction Mechanisms
• Drug Design
• +۵ مورد دیگر

Raquel Castillo is a Senior Researcher at the Institute of Advanced Materials (INAM) within Universitat Jaume I , Spain. Her work focuses on computational biochemistry, particularly on enzyme reaction mechanisms and the design of novel inhibitors. Education : Degree in Chemistry (1994) from Universidad de Valencia; PhD in Chemistry (1999) from Universitat Jaume I under Prof. Juan Andrés and Prof. Vicent Moliner. Postdoctoral Experience : Universitat Autònoma de Barcelona (2002) under Prof. Josep M. Lluch. Research Interests : Her work integrates quantum mechanics/molecular mechanics (QM/MM) simulations to study enzyme catalysis, with applications in pharmacology and biotechnology. Recent projects involve machine learning for disease biomarker identification (inflammatory bowel disease, systemic sclerosis, carcinoma) and developing multitarget anticancer agents. Research Group : Collaborates with the BioComp group led by Prof. Vicent Moliner, which specializes in computational catalysis and designing biomimetic catalysts for biomedical applications. Publication Trends : Her articles span computational enzymology, quantum chemical analysis, and biomedical machine learning. Key subfields include reaction mechanism elucidation, protein engineering, and data-driven diagnostics.

Eduardo Iáñezمشاهده پروفایل

دانشیار

• Brain-Computer Interfaces (BCI)
• Human-Robot Interfaces
• Human-Computer Interfaces
• +۳ مورد دیگر

Eduardo Iáñez is an Associate Professor in the Industrial Systems Engineering Department at the Miguel Hernández University of Elche, Spain. He holds an M.Sc. (2007) and Ph.D. (2012) in Telecommunication and Industrial Technologies from the same institution. His research focuses on Brain-Computer Interfaces (BCI) and Human-Robot/Multimodal Interfaces, particularly in non-invasive BCI systems and exoskeleton control. He has led projects funded by the European Union, Spanish Ministry of Economy, and Iberoamerican Programs, including BioMot (2013-2016) and ASSOCIATE (2015-2018). Education: Ph.D. in Industrial and Telecommunications Technologies, Miguel Hernández University (2012) M.Sc. in Telecommunications Engineering, Miguel Hernández University (2008) Research Interests: Eduardo’s work integrates EEG/EOG signals for robot control, exoskeleton-assisted neurorehabilitation, and BCI systems for disabled populations. His projects emphasize practical applications in clinical settings and assistive technologies. Awards: First Best Paper Award at IEEE Systems Conference 2013 (Mental Tasks Selection Method for SVM-Based BCI) Second Best Robotics Thesis Award (2012) for work on non-invasive EEG/EOG interfaces Grants & Projects: Over 10 projects including EU-funded BioMot (smart wearable robots) and national initiatives in neuroprosthetics and BCI development. He has organized conferences like Brain on Art 2017 and the IEEE Systems Conference tutorial on BMI systems. Labs & Teams: Principal researcher in the Brain-Machine Interface Systems Lab at UMH, collaborating on exoskeleton design and neural signal processing innovations.

Emilio Martinez Nuñezمشاهده پروفایل

استاد

• Theoretical Chemistry
• Computational Chemistry
• Chemical Dynamics
• +۳ مورد دیگر

Emilio Martinez Nuñez is a Full Professor in the Department of Physical Chemistry at the Faculty of Chemistry, University of Santiago de Compostela (USC). He has been a faculty member since 2007 when he was appointed as Associate Professor and was promoted to Full Professor in 2023. Prior to his faculty position, he was a prestigious Ramón y Cajal researcher from 2001-2006. Dr. Martinez Nuñez earned his BSc in Chemistry at USC in 1994, followed by a PhD in Chemistry at USC in 1999. His doctoral thesis, 'Estudio teórico de reacciones unimoleculares en fase gas' (Theoretical study of unimolecular reactions in gas phase), was supervised by Dr. Saulo A. Vázquez Rodríguez. His research focuses on developing theoretical models to study chemical reactions, with expertise spanning computational chemistry, chemical dynamics, and quantum mechanics. Dr. Martinez Nuñez leads research within the QTEC (Química teórica e computacional) group, applying computational methods to diverse chemical systems from interstellar chemistry to environmental processes. His work often combines trajectory-based simulations with quantum mechanical calculations to understand reaction mechanisms at the molecular level. Analysis of his most recent publications reveals a strong trend toward automated reaction discovery, machine learning applications in computational chemistry, and studies of complex reaction networks in astrochemical and environmental contexts. His research has evolved from fundamental chemical dynamics studies to more applied research addressing environmental challenges and astrochemical phenomena. Ramón y Cajal Researcher (2001-2006) Dr. Martinez Nuñez has established significant international collaborations through research visits to institutions including the University of Coimbra (Portugal), University of Pisa (Italy), University of Leeds (UK), and Texas Tech University (USA). He has also served as a Visiting Professor at the University of Leeds (2013) and Université de Lille (2018), demonstrating his international recognition in the field. His research group focuses on developing and applying computational methodologies including quasiclassical trajectory calculations, direct dynamics simulations, RRKM theory applications, and machine learning-enhanced quantum chemistry methods, with applications spanning astrochemistry, environmental chemistry, and fundamental reaction dynamics.

• Theoretical Physics
• Particle Physics
• Quantum Chromodynamics (QCD)
• +۴ مورد دیگر

Daniel Pablos Alfonso is a Marie Curie contract researcher in the Department of Particle Physics at the University of Santiago de Compostela, affiliated with the Galician Institute of High Energy Physics (IGFAE). His research focuses on theoretical particle physics, particularly jet quenching and the properties of the quark-gluon plasma (QGP) in heavy-ion collisions. He is a core member of the TEOFPACC research group, specializing in the theoretical analysis of jet-medium interactions. He earned his PhD in 2016 from the University of Barcelona with a thesis titled *Jets as Probes of Strongly Coupled Quark-Gluon Plasma*, supervised by Dr. Jorge Casalderrey Solana. His work bridges high-energy physics experiments (RHIC, LHC) with advanced theoretical frameworks like the JETSCAPE collaboration’s multi-stage simulation tool. His research interests include: Jet substructure modifications as probes of QGP properties Holographic models for heavy quark energy loss Hybrid strong/weak coupling approaches to jet-medium interactions Machine learning applications for jet tomography Simultaneous treatment of minijets and hydrodynamic evolution Recent publications highlight innovations such as visualizing jet wakes via energy correlators and isolating perturbative QCD effects in dense media. His work consistently advances understanding of QGP transport properties through multi-scale modeling and experimental predictions for facilities like sPHENIX. Collaborations with the JETSCAPE framework demonstrate his leadership in developing computational tools that combine perturbative and non-perturbative physics. His studies of azimuthal anisotropy (v₂) and jet suppression scaling across RHIC and LHC energies provide critical benchmarks for medium-response theories.