جست‌وجوی استاد و پژوهشگر

Andreas Pavlogiannisمشاهده پروفایل

دانشیار

• Formal Methods
• Algorithmic Verification
• Automata Theory
• +۶ مورد دیگر

Andreas Pavlogiannis is an Associate Professor in the Department of Computer Science at Aarhus University, Denmark, where he leads research in the Programming Languages group. His work focuses on formal methods, algorithmic verification, and concurrency analysis, with additional interests in network diffusion and evolutionary graph theory. He holds a PhD from IST Austria and actively recruits PhD students and PostDocs. Research Interests: Pavlogiannis investigates foundational and applied aspects of concurrent systems, including static/dynamic program analysis, automata theory, and weak memory models. His interdisciplinary work bridges computer science with evolutionary biology through network diffusion models and game theory. Awards: Distinguished Paper Award (PLDI 2025) Best Paper Award (ASPLOS 2024) Best Presentation Award (SOAP 2024) Best Paper Award (ASPLOS 2022) Teaching: He teaches courses on Programming Languages (Bachelor), Algorithmic Model Checking (Master), and Program Analysis (Master). Service: Serves on program committees for top conferences including POPL, PLDI, CAV, and IJCAI. Organizer of CONFEST 2025. Funding: Research supported by Villum Foundation, Danish Free Research Foundation (DFF), Stibo Foundation, and Austrian Science Fund (FWF).

• Fluid Mechanics
• Computational Fluid Dynamics
• Turbulence Modeling
• +۴ مورد دیگر

Juan Grau Barcelo is a Professor in the Department of Fluid Mechanics at the Escola d'Enginyeria de Barcelona Est (EEBE) of the Universitat Politécnica de Catalunya (UPC). He is actively involved in multiple research groups including GReCEF (Research Group in Fluid Science and Engineering) and CER-H2 (UPC Hydrogen Research Center). His research focuses on fluid mechanics, computational fluid dynamics, turbulence modeling, and environmental fluid dynamics with particular emphasis on microplastics in ocean environments. His work spans both fundamental fluid dynamics research and practical engineering applications, including hydrogen technology and computational methods for fluid flow simulation. Analysis of his recent publications shows a strong trend toward interdisciplinary research combining computational fluid dynamics with environmental science, particularly in the area of microplastic transport and aggregation in ocean turbulence. His work increasingly incorporates machine learning techniques for data reconstruction and virtual interaction with engineering systems, showing adaptation to emerging computational methodologies. His research has been supported by various competitive R&D projects including European Horizon 2020 initiatives and Spanish National Research Programs focused on ecological transition and digital transformation. Grau Barcelo has demonstrated significant contributions to both research and teaching innovation, with recent projects focused on active learning methods in thermofluid mechanics education through flipped lectures and problem-based learning activities. He maintains active collaborations with researchers across multiple institutions, with notable long-term collaborations with Ricardo Torres Camara, Lluís Jofre Cruanyes, and Francesco Capuano, among others.

Albert Banchsمشاهده پروفایل

استاد

• Network Slicing
• 5G/6G Networks
• Mobile Networks
• +۴ مورد دیگر

Dr. Albert Banchs is a Full Professor at Universidad Carlos III de Madrid, affiliated with the Escuela Politécnica Superior. He also serves as Director of IMDEA Networks and has held visiting positions at ETHZ, EPFL, and the University of Texas at Austin. His expertise lies in network slicing, 5G/6G architectures, and AI-driven network management. He holds an M.Sc. and Ph.D. in Telecommunications Engineering from UPC BarcelonaTech (2002). Education: Ph.D. in Telecommunications Engineering, UPC BarcelonaTech (2002) M.Sc. in Telecommunications Engineering, UPC BarcelonaTech (1997) Research Interests: Focuses on next-generation mobile networks, including network slicing, resource allocation, and AI integration. His work emphasizes optimizing 5G/6G architectures for efficiency and scalability. He has pioneered solutions like POSENS and AZTEC, leveraging deep learning and reinforcement learning. Awards: 2023-2024 World's Top 2% Scientists (Stanford/Elsevier) 2016-2017 IEEE Distinguished Lecturer National award for best PhD thesis (2003) Grants & Projects: Led major EU initiatives like 5G-MoNArch (H2020) and coordinated projects such as CARMEN (FP7). Currently manages SUSTAIN-6G (Horizon Europe) and coordinates multi-million euro grants focusing on 6G and network slicing. Labs/Teams: Directs IMDEA Networks and collaborates with industry partners (e.g., Nokia Bell Labs, Google) through joint research and standardization efforts at IETF/IEEE.

• Microelectronics
• Computer Engineering
• Radiation Effects on Electronics
• +۳ مورد دیگر

Luis Alfonso Train Arrontes is a Full Professor at the Electronic Technology Department of Carlos III University of Madrid, affiliated with the Pedro Juan de Lastanosa Institute of Technology Development and Innovation and the Microelectronic Design and Applications (DMA) research group. His work focuses on radiation effects on microprocessors, fault-tolerant architectures, and error mitigation techniques for aerospace applications. Key Research Areas: Radiation-hardened electronics, FPGA-based fault injection, approximate computing, lockstep architectures, and GPU-accelerated systems. Notable Projects: Principal Investigator for RADNEXT (European Commission, 2021–2026), Modulos Hardware de Alta Fiabilidad para RISC-V (AEI, 2024–2025), and Diseño y verificación de sistemas en chip heterogéneos (AEI, 2020–2023). Publications: Over 40 peer-reviewed articles in journals like IEEE Transactions on Nuclear Science , IEEE Access , and Microelectronics Reliability , covering topics such as radiation-induced errors, fault detection, and self-repairing hardware. Patents: Co-inventor of a 2019 patent for an integrated circuit identification device. His research bridges hardware design, radiation physics, and aerospace engineering, with applications in space-grade electronics and terrestrial radiation environments.

• Aerospace Engineering
• Space Debris
• Orbital Mechanics
• +۴ مورد دیگر

Manuel Sanjurjo Rivo is an Associate Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid , affiliated with the Gregorio Millán Barbany University Institute . His work focuses on space debris mitigation, orbital mechanics, and autonomous navigation systems. Research Areas : Collision probability estimation, low-thrust trajectory optimization, space situational awareness, autonomous GNC systems, machine learning for space applications Recent Publications highlight advancements in collision risk quantification , deep learning navigation , and multi-objective space mission design . Projects include monitoring orbital debris , optimal propulsion strategies , and AI-driven hazard avoidance . Key Collaborations : European Space Agency (ESA), GMV Aerospace, SENER, Boeing He supervises theses on topics like space maneuver detection , micro-propulsion systems , and space catalog maintenance . Contact: msanjurj@ing.uc3m.es

• Computational Electromagnetics
• Radar Cross-Section Analysis
• Antenna Design
• +۳ مورد دیگر

Lorena Lozano Plata is an Associate Professor in the Department of Computer Science at the Universidad de Alcalá. Her research focuses on computational electromagnetics, radar cross-section (RCS) analysis, antenna design, and high-performance numerical methods. She holds a PhD from Universidad de Alcalá (2006) with a thesis on accelerating ray-tracing techniques for RCS reduction using physical optics. She is part of the GEC (Computational Electromagnetic Group) and has developed software tools like NewFasant and FASANT for electromagnetic analysis. Her work emphasizes efficient algorithms for solving large-scale electromagnetic problems, including multilevel fast multipole algorithm (MLFMA), characteristic basis function method (CBFM), and hybrid techniques combining high-frequency asymptotic methods with rigorous solvers. Applications include antenna placement optimization, urban V2X communication channels, wind turbine interference characterization, and aerospace satellite communication modeling. She has contributed to GPU-accelerated parallelization strategies and radar system simulations in traffic scenarios. Lozano Plata's research also involves radio propagation analysis in complex environments, radar Doppler spectrum analysis, and pre-processing/meshing optimization for electromagnetic software. Her work bridges theoretical developments with practical tools used in industry and academia for electromagnetic design and simulation challenges.

• Climate Physics
• Computational Science
• Parallel Computing
• +۳ مورد دیگر

Juan Ignacio Pérez Sanz is an Associate Professor at the Department of Automática, Universidad de Alcalá. He is part of the CPG Climate Physics Group and specializes in computational methods for climate modeling. His work focuses on accelerating numerical techniques using GPU technologies. He earned his Doctorate from Universidad de Alcalá in 2015 with the thesis Aceleración del método de las funciones base características por medio de tarjetas gráficas , supervised by Dr. Manuel Felipe Cátedra Pérez and Dr. José Antonio de Frutos Redondo. His research interests include improving computational efficiency in climate physics through parallel computing and GPU-based algorithms. No specific awards or grants are listed in the provided information.

• Computer Science
• Artificial Intelligence
• Robotics
• +۶ مورد دیگر

Javier Montoyo Bojo is a Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante. He earned his Computer Science degree (1995) and PhD in Computer Science (2015) from the same institution. A member of the Robotics and Three-Dimensional Vision (RoViT) research group, he held the role of Deputy Director of Business Internships at the Higher Polytechnic School (2015-2021). His research spans Artificial Intelligence , 3D Vision , Image Processing , and Educational Technology . Key projects include GPU-accelerated RGB-D camera registration , 3D hand pose estimation , and assistive robotics for acquired brain injury patients. Over the last decade, his work has focused on educational reform under the ECTS system, particularly for Statistics and Software Development courses. Recent publications highlight advancements in gaze tracking (2023) and collaborative educational frameworks for sustainable water technology programs (2019). He has participated in 9 public research projects (2018-2023) as coordinator or collaborator, including initiatives in 3D object recognition and VR/AR assistant systems for autism/Phobias (2023-2026). Teaching contributions include 13 iterations of Hypermedia Programming II and 10 of Statistics for Computer Engineering. He has directed/co-directed 14 undergraduate/master's theses in the last 5 years. Former roles include academic coordination of business internships (2017-2021) and editorial contributions to Statistics education materials.

Donato Crisostomiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Model Merging
• Representational Alignment
• +۷ مورد دیگر

Donato Crisostomi is a 3rd-year Ph.D. student in Computer Science at Sapienza University of Rome, affiliated with the GLADIA research group under Prof. Emanuele Rodolà. He is also an ELLIS Ph.D. member and visiting researcher at the University of Cambridge. Ph.D. in Computer Science (current) M.Sc. in Computer Science (2021) from Sapienza University B.Sc. in Computer Science (2019) from Sapienza University His research spans model merging , representational alignment , and universal representation spaces , with publications in top-tier venues like CVPR, NeurIPS, and ACL. His work includes cycle-consistent alignment methods, evolutionary model merging libraries, and training-free music generation techniques. Recent article trends highlight expertise in Transformer optimization (2025), evolutionary model merging (2025), music generation (2025), and few-shot learning (2024). Key subfields include neural weight permutations, multimodal integration, and e-commerce NLP applications. Best Poster Award at EEML 2025 Lead organizer of NeurIPS UniReps workshop He has contributed to 15+ peer-reviewed publications and led the €1.5M NEXUS project's Model Reuse work package. Mentoring roles at LOGML 2025 and prior industry experience at Amazon Alexa/Search complement his academic profile.

• Biomedical Imaging
• Computer Science
• Medical Imaging
• +۶ مورد دیگر

Monica Abella Garcia is an Associate Professor in the Bioengineering Department at University Carlos III of Madrid . She leads the Biomedical Imaging and Instrumentation Group , focusing on advanced imaging techniques and software development for preclinical and clinical applications. Subjects: Biology and Biomedicine , Computer Science , Medical Imaging , Materials Science , Physics Research Interests Her work spans CT and X-ray imaging , deep learning applications , beam hardening and scatter correction , GPU-accelerated algorithms , and biomaterials for bone regeneration . She develops tools like XAP-Lab , FUX-Sim , and BoneAnalytics for quantitative imaging and protocol design. Projects & Grants Principal investigator on grants from Instituto de Salud Carlos III , Agencia Estatal de Investigación , and Banco Santander , focusing on AI in radiology , low-dose CT systems , and Covid-19 diagnostics . Co-investigator in EU-funded initiatives like ASPIDE and INFIERI , and MIT collaborations under the M+PET Project . Patents & Software Holds patents for tomography generation methods and developed software tools: 3DSTITCH (volume stitching), RadBoost (image enhancement), REXCT (fast reconstruction).

• High Performance Computing
• Parallel Computing
• GPU Programming
• +۵ مورد دیگر

Margarita Amor López is a Professor in the Department of Computer Engineering at the Faculty of Computer Science, Universidade da Coruña. She specializes in High Performance Computing and Computer Architecture, leading the Computer Architecture Group research team. Her teaching spans multiple degree programs including Computer Engineering, Data Science and Engineering, Artificial Intelligence, and various Master's programs. Her research interests focus on GPU programming, parallel computing, heterogeneous architectures, and their applications in LiDAR processing, extended reality, and digital cultural heritage. She has developed numerous techniques for optimizing parallel codes on GPUs and heterogeneous systems, with applications in geospatial data processing and computer vision. Her publications demonstrate a strong focus on improving performance of parallel algorithms on modern architectures, particularly GPUs. She has made significant contributions to memory management techniques, optimization of parallel algorithms, and application of these techniques to real-world problems like power line detection in LiDAR data and extended reality applications. She has supervised numerous Master's and PhD theses, mentoring students in areas of high performance computing and computer architecture. Her research has been funded by multiple national and European projects from the Ministry of Science and Innovation, Xunta de Galicia, and the European Union. Dr. Amor López has also registered multiple software developments related to her research, demonstrating the practical applications of her work in high performance computing and parallel systems.

• Astrophysical Plasma
• Magnetohydrodynamics
• Neutron Star Dynamics
• +۳ مورد دیگر

Jens Florian Mahlmann is a predoctoral researcher affiliated with the Universitat de València. He earned his PhD in 2020 with a thesis titled Dynamics in the magnetospheres of compact objects , supervised by Dr. Miguel-Ángel Aloy Toras and Dr. Pablo Cerdá-Durán. His research focuses on astrophysical plasmas, particularly magnetospheres of compact objects like neutron stars and magnetars. Key areas include plasma dynamics, magnetic field interactions, computational modeling, and high-energy radiation mechanisms. He has contributed to the development of specialized particle-in-cell (PIC) codes for simulating extreme astrophysical environments. Recent publications highlight his work on magnetar eruptions, force-free electrodynamics, relativistic shocks, and instabilities in twisted flux tubes. His computational studies span topics such as wave propagation, current sheet formation, and diffusivity in magnetospheres. While no specific awards or students are mentioned, his collaborations include institutions like Princeton University.

Joaquín Ortega Castroمشاهده پروفایل

مدرس ارشد

• Theoretical Chemistry
• Computational Chemistry
• Physical Chemistry
• +۳ مورد دیگر

Joaquín Ortega Castro is a Senior Lecturer (Associate Professor level) in the Department of Chemistry at the University of the Balearic Islands (UIB) . He earned his PhD in Chemical Sciences from the University of Granada in 2007 and carried out post-doctoral research stays at the University of Erlangen-Nürnberg and University of Cambridge . Educational background PhD in Chemical Sciences, University of Granada (2007) Research stays: University of Erlangen-Nürnberg, University of Cambridge (×2) Research interests Dr Ortega Castro’s work lies at the intersection of theoretical chemistry, computational chemistry, and materials science . His research spans: Environmental chemistry: selective detection and removal of heavy metals, organic contaminants in membranes Solid-state chemistry: CO₂ capture on porous frameworks, halide perovskites for photovoltaics Photo-switchable materials: design of molecules for LEDs, luminescent probes, and optoelectronic devices Surface science: adsorption of organics on mineral surfaces Pharmaceutical chemistry: crystallization inhibitors and public–private collaborations Across these domains he applies quantum-chemical methods, molecular dynamics, multiscale modeling, and machine-learning techniques to predict structure–property relationships and guide experiments. Scientific output and recognition With 98 peer-reviewed articles and participation in 13 funded projects , his work is internationally recognized. He has been awarded two consecutive six-year research accreditation periods and four six-year teaching accreditation periods by the Spanish national evaluation agency (ANECA/CNEAI). Advising and coordination roles Directed 3 doctoral theses Supervised 4 master’s theses (TFM) Supervised 5 bachelor’s theses (TFG) Local coordinator of the Erasmus Mundus Master’s Degree in Theoretical Chemistry and Computational Modelling (TCCM) Laboratory and team affiliations He is an active member of the Flow Injection and Trace Analysis (FI-TRACE) and Nanocapture and Supramolecular Systems (SUPRANANO) consolidated research groups. Additionally, he manages the social media outreach for the UIB Department of Chemistry on Twitter (@DQuimicaUIB) and Instagram (rsociales_dqu), promoting scientific dissemination and community engagement.

Carlos Andujar Granمشاهده پروفایل

دانشیار

• Computer Graphics
• 3D Modeling and Animation
• Virtual and Augmented Reality
• +۵ مورد دیگر

Carlos Andújar Gran is an Associate Professor in the Computer Science Department at the Polytechnic University of Catalonia . He is a key member of the ViRVIG Research Center for Visualization, Virtual Reality, and Graphics Interaction, as well as the Eurographics Association . His work bridges technical innovation with cultural and educational applications. Primary affiliation: Universitat Politècnica de Catalunya Research center: ViRVIG - Research Center for Visualization, Virtual Reality and Graphics Interaction Professional network: Eurographics Association His research interests focus on advanced topics in computer graphics and virtual reality : 3D Modeling - Digital reconstruction of complex geometries Animation Systems - Real-time motion capture and pose estimation Cultural Heritage - Digital restoration techniques for medieval monuments Human-Computer Interaction - 3D user interface design Sports Analytics - Player position tracking through computer vision Medical Education - VR nursing training platforms His technical publications demonstrate a consistent focus on solving practical problems through innovative algorithms: Developed DragPoser for motion reconstruction with sparse sensors Created PADELVIC dataset for sports analytics Advanced automated color restitution methods for mural paintings Improved normal estimation in point cloud processing Optimized terrain super-resolution techniques using convolutional networks Designed interactive cultural heritage systems for museum exhibitions

• Nonlinear Optics
• Optical Parametric Oscillators (OPOs)
• Femtosecond Lasers
• +۶ مورد دیگر

Prof. Majid Ebrahim-Zadeh is a Professor at the Institute of Photonic Sciences (ICFO), leading research on coherent light sources through nonlinear frequency conversion techniques, particularly optical parametric oscillators (OPOs). His work spans UV to mid-IR spectral regions and includes femtosecond-scale technologies. Key focuses include developing tunable radiation sources for applications in spectroscopy, quantum information, environmental sensing, and industrial innovation. He emphasizes knowledge transfer to commercialize cutting-edge frequency conversion technology. Research interests emphasize femtosecond sources across the UV to mid-IR, fiber-laser-based cw and ultrafast OPOs, and novel nonlinear materials. His group's innovations address challenges in group-velocity matching, phase modulation, and dispersion control for ultrafast systems. Recent work includes quadratic frequency combs, geometric phase applications, and Talbot effect-based sensors. Publications highlight advancements in femtosecond OPOs, broadband frequency combs, and mid-IR sources, with a focus on practical utility in metrology, biophotonics, and nanotechnology. His contributions span both fundamental science and applied technologies, bridging academic and industrial applications. No scientific awards are explicitly listed, but his extensive publication record underscores significant contributions to the field. Advising and grants are not detailed in the provided text, though his research activities suggest strong industrial collaborations. His lab is part of ICFO's OPO group, pioneering next-generation nonlinear optical systems.