جست‌وجوی استاد و پژوهشگر

Mónica Lira-Cantúمشاهده پروفایل

استاد

• Materials Science
• Nanotechnology
• Photovoltaics
• +۶ مورد دیگر

Mónica Lira-Cantú is a leading CSIC Research Scientist and Full Professor at Consejo Superior de Investigaciones Científicas (CSIC) , directing the Nanostructured Materials for Photovoltaic Energy Group since 2006. Her career spans industrial R&D at ExxonMobil and academic roles at prestigious institutions, with a focus on advancing thin-film solar technologies. BSc in Chemistry (1992), ICMAB and UAB for MSc/PhD (1995/1997) Postdoc at Schneider Electric and ICMAB (1998) CSIC Tenured Track (2007), promoted to Full Professor (2022) Her research pioneers halide-perovskite, dye-sensitized, and organic solar cells , emphasizing efficiency (>23%) and stability (>1000h under illumination). She integrates in situ characterization (Raman, XRD, impedance) and develops self-powered IoT electronics using flexible/transparent materials. Scientific contributions include coordinating the 35-country COST Action Project StableNextSol MP1307 , with 450+ members and 22 companies, recognized as an EU Success Story . Her 135+ publications (125+ journal articles, 10+ book chapters, 11 patents) reflect her leadership in the field, supported by an H-index of 52 and 10,000+ citations. Scientific service includes: Editor-in-Chief of APL Energy (AIP) Advisory roles for Nature, Wiley, Elsevier, Cell Press journals ERC grant evaluator (Starting/Consolidator/Advanced) Scientific referee for 20+ agencies and 50+ journals Her group has mentored 90+ researchers, including 10+ PhDs and 70+ undergraduates, while her work on stability protocols (ISOS standards) has become foundational for perovskite photovoltaics.

• Robotics
• Computer Science
• Mechanical Engineering
• +۸ مورد دیگر

Luis Enrique Moreno Lorente is a Full Professor in the Department of Systems Engineering and Automation at Carlos III University of Madrid, where he leads research in the Robotics Lab. He is affiliated with the Pedro Juan de Lastanosa Institute of Technology Development and Innovation and the Research Institute for Higher Education and Science (INAECU). Research Focus: Robotics, Soft Robotics, Control Systems, and Human-Machine Interaction Key Applications: Neurorehabilitation, Unmanned Aerial Vehicles, and Industrial Automation Research Trends in his recent work include: Soft robotic actuators using Shape Memory Alloys (SMA) Advanced path planning for UAV teams and Mars rovers Integration of Gaussian processes and evolutionary algorithms Wearable rehabilitation devices controlled by sEMG signals Mechanical design optimization for high-displacement actuators Supervised Theses cover topics like Global localization algorithms Evolutionary optimization techniques Intelligent actuator systems Cerebral palsy rehabilitation robotics Key Grants include projects funded by the European Commission, Arquimea Aerospace, and Spanish government initiatives in robotics and rehabilitation.

JOSE ANTONIO COSTOYA PUENTEمشاهده پروفایل

استاد

• Molecular Oncology
• Cancer Biology
• Drug Development
• +۳ مورد دیگر

Jose Antonio Costoya Puente is a Professor at the Department of Physiology, University of Santiago de Compostela, affiliated with the Faculty of Medicine and Dentistry. He leads the Molecular Oncology Laboratory at the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS). His research focuses on cancer biology, particularly glioblastoma and drug development, with emphasis on PARP1, AMPK, and cellular stress pathways. He holds a PhD in Physiology (1998) and conducted postdoctoral research at Memorial Sloan-Kettering Cancer Center (2004). Key research areas include molecular oncology, pharmacology of chronic diseases, and development of targeted therapies. His work involves structural biology (e.g., cryo-EM studies of PARP1-E2F1 interactions), drug repurposing (e.g., non-enzymatic targeting of PARP1), and nanotechnology-based drug delivery systems. He has pioneered studies on AMPK’s role in glioblastoma bioenergetics and tumor immune evasion mechanisms. Publications highlight translational research, including validation of antitumor compounds and AI-driven drug discovery. He is a member of multiple scientific societies and has received several research awards. His lab investigates novel therapies for glioblastoma and breast cancer, with a focus on combining molecular imaging and multimodal treatments using gold nanoshells. Current projects explore epigenetic reprogramming in cancer stem cells and biomarker development using marine-derived biosensors.

Ramon Canal Corretgerمشاهده پروفایل

استاد

• Microarchitecture
• Processor Design
• Memory Design
• +۱۵ مورد دیگر

Ramon Canal Corretger is a Full Professor in the Department of Computer Architecture at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He previously served as Vice Dean of Postgraduate Studies at FIB and leads the VirtuOS (Virtualization and Operating Systems) research group. His work bridges computer architecture, hardware security, and system-level reliability. Doctorate from UPC, co-supervised at the University of Wisconsin-Madison Sabbaticals at Harvard University (2006–2007) and the University of Cyprus (2019–2020) Active leadership in EU-funded projects such as Vitamin-V (Horizon Europe) His research focuses on microarchitecture, processor and memory design, reliability under variability, and security at the hardware-software interface. He explores low-power multicore architectures, virtualization optimizations, and secure RISC-V-based systems. His recent work integrates AI for intrusion detection and privacy-preserving federated learning in fog computing environments. The most recent publications demonstrate a strong trend toward security, reliability, and trustworthy computing , particularly in RISC-V ecosystems and cloud/edge infrastructures. There is increasing emphasis on hardware-software co-design , attack detection via performance monitoring , and energy-efficient secure accelerators using emerging technologies like neuromorphic and photonic computing. Scientific Awards: HiPEAC Paper Awards (2017, 2010) IEEE Senior Member (2016) Fulbright Award (2006) IBM Faculty Award (2000) Best Student Paper at HPCA-6 (2000) Multiple teaching excellence recognitions from UPC and AQU Catalunya First Prize in Epson Foundation Rosina Ribalta Award (2001) He has advised several PhD students including Manish Rana, Zoran Jaksic, and Shrikanth Ganapathy, many of whom received honors such as the Intel Doctoral Student Programme recognition. His research is supported by competitive grants from the Spanish government, EU Horizon programs, and industry collaborations. He is actively involved in the design of secure, reliable, and efficient computing systems for future cloud and embedded applications. He leads the VirtuOS research group, which focuses on virtualization, operating systems, and hardware-software interface optimization. The group contributes to open-source RISC-V initiatives and participates in large-scale European R&D projects targeting trustworthy computing infrastructures.

Tomás Fernández Penaمشاهده پروفایل

استاد

• High Performance Computing (HPC)
• Parallel and Distributed Systems
• Quantum Computing
• +۵ مورد دیگر

Tomás Fernández Pena is a Full Professor at the University of Santiago de Compostela (USC) and Senior Researcher at the Research Center in Intelligent Technologies (CiTIUS) . With a career spanning over three decades, he has held academic positions since 1990 and contributed extensively to High Performance Computing (HPC), Big Data, and emerging quantum computing fields. Ph.D. in Physics from USC (1994) Senior Member of IEEE Associate Editor for IEEE Transactions on Computers and IEEE Access Research Contributions : His work focuses on parallel systems architecture, cloud computing middleware, and quantum simulation optimization. He has pioneered methods for NUMA systems, LiDAR data processing, and Big Data applications in bioinformatics/cheminformatics. His recent articles show increasing emphasis on quantum computing frameworks and distributed quantum processing. Scientific Recognition : Holds four Spanish Ministry of Education six-year research excellence periods (sexenios de investigación) and has served as Principal Investigator in 3 public projects and co-investigator in 31 EU/Xunta de Galicia funded initiatives. Supervised 7 Ph.D. theses and published 43+ international journal papers. International Collaborations : Maintains academic connections through funded research stays at Loughborough University, University of Tennessee, and University of Illinois Urbana-Champaign. Active in IEEE and participates in global conferences like Euro-Par and CHEP.

Stefan K. Mullerمشاهده پروفایل

استادیار

• Type Systems
• Parallel Computing
• Resource Analysis
• +۳ مورد دیگر

Stefan K. Muller is an Assistant Professor in the Computer Science Department at Illinois Institute of Technology. His research focuses on applying programming language techniques to improve correctness and efficiency in parallel computing, with applications spanning AI, computer science education, and systems design. He earned his PhD at Carnegie Mellon University (2018) under Umut A. Acar, following a postdoc there (2018–20), and holds an AB in Computer Science from Harvard University (2012). PhD, Carnegie Mellon University (2018) Postdoc, Carnegie Mellon University (2018–20) AB, Harvard University (2012) Stefan’s work integrates type systems, static resource analysis, and concurrency to address challenges in parallelism. His recent projects include Graph Types for language-agnostic parallel computation analysis, Responsive Parallelism models for interactive systems, and Resource-aware GPU Programming tools. He has contributed to conferences like POPL, PLDI, ICFP, and SPLASH, often focusing on deadlock detection, futures-based parallelism, and efficient compiler optimizations. His publications (2012–2024) emphasize formal methods for parallel systems. Key trends include type-driven concurrency, static analysis of GPU programs, and responsive scheduling for interactive applications. He mentors students in programming language theory and parallel computing, with former advisees now at institutions like Apple, Amazon, and UPenn. Stefan’s teaching includes courses on Types and Programming Languages (CS534), Science of Programming (CS536), and Compiler Construction (CS443). Outside academia, he is a homebrewer, runner, and singer, with a Bacon number of 2 and Erdős number of 4 .

Jerzy Respondekمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Linear Algebra
• Fast Matrix Algorithms
• +۳ مورد دیگر

Jerzy Respondek serves as Professor at Silesian University of Technology's Department of Applied Computer Science within the Faculty of Automatic Control, Electronics and Computer Science, and concurrently as Visiting Scientist at Friedrich-Alexander-Universität Erlangen-Nürnberg's DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics – an Alexander von Humboldt Professorship. His research centers on numerical analysis with groundbreaking contributions to computational linear algebra, particularly fast matrix multiplication algorithms and confluent Vandermonde matrix inversion. His work bridges theoretical mathematics and practical applications in artificial intelligence, big data processing, and high-performance computing, emphasizing algorithmic efficiency and numerical stability. Recent publications reveal consistent scholarly impact, including a 2025 Springer monograph synthesizing fast matrix techniques with concrete implementations, and corrections to foundational algorithms demonstrating rigorous scholarly oversight. His research trajectory shows increasing focus on AI-optimized numerical methods while maintaining deep roots in classical matrix computation. As a reviewer for SIAM Review and IEEE Transactions since 2018, Professor Respondek contributes to scholarly quality control in computational mathematics. His affiliation with the Humboldt Professorship chair provides access to international collaborations and advanced research infrastructure, supporting his work in dynamics and machine learning applications. While specific student supervision details aren't provided, his professorial role indicates active mentorship in computational mathematics. His laboratory work is integrated within FAU's DCN-AvH Chair environment, focusing on numerical implementations for machine learning systems and control theory applications, leveraging the chair's interdisciplinary framework connecting dynamics, control, and computational mathematics.

Hiroshi Unnoمشاهده پروفایل

استاد

• Programming Languages
• Software Verification
• Artificial Intelligence
• +۳ مورد دیگر

Hiroshi Unno is a Professor at Tohoku University 's Research Institute of Electrical Communication and a Visiting Professor at the National Institute of Informatics. He has served on program committees for major conferences like POPL , PLDI , ICFP , and CAV . Dr. Unno's research focuses on Programming Languages Software Verification Artificial Intelligence Higher-Order Model Checking Refinement Type Systems Temporal Logic His recent work (2023-2025) includes advancements in algebraic effects , probabilistic program verification , and prophecy-based type systems . Key contributions appear in POPL , PLDI , and ICFP journals. Scientific awards include Distinguished Paper Award at POPL 2024 Distinguished Paper Award at POPL 2023 PPL 2014 Best Paper Award He leads development of tools like RCaml , Thrust , and EffCaml for refinement type checking. Current projects involve Kakenhi grants 20H04162 and 25H00446 . Dr. Unno actively contributes to academic communities through Program Committee roles at AAAI, CAV, and SAS Editorial work for IPSJ Transactions Organizing PPL Summer School (2022)

• Quantum Transport
• Spintronics
• Topological Materials
• +۵ مورد دیگر

Stephan Roche is an ICREA Research Professor and Group Leader at the Institut Català de Nanociència i Nanotecnologia (ICN2), specializing in Theoretical and Computational Nanoscience. His research bridges fundamental physics with potential applications in next-generation electronics and quantum technologies. Primary Affiliation: Institut Català de Nanociència i Nanotecnologia (ICN2) Research Position: ICREA Research Professor Research Group: Theoretical and Computational Nanoscience Professor Roche's research focuses on quantum transport phenomena in nanoscale systems, particularly two-dimensional materials and van der Waals heterostructures. His work combines advanced computational techniques including first-principles calculations, quantum transport simulations, and analysis of topological properties. Key research areas include spintronics, graphene-based systems, topological materials, and quantum effects in disordered systems. His recent work has made significant contributions to understanding spin-orbit torques, quantum transport in twisted bilayer graphene, and topological phases in disordered systems. Analysis of his recent publications (2020-2025) reveals a strong focus on emerging phenomena in 2D materials, with particular emphasis on spin transport mechanisms, topological properties, and quantum effects. His work often combines theoretical modeling with practical implications for next-generation electronic and spintronic devices. The interdisciplinary nature of his research spans condensed matter physics, materials science, and quantum information. Key Research Themes: Quantum transport, Spintronics, Topological materials, 2D materials, Computational nanoscience Methodologies: First-principles calculations, Quantum transport simulations, Machine learning for materials Professor Roche maintains extensive international collaborations, with co-authors from institutions across Europe, Asia, and North America. His research group provides opportunities for students and postdocs interested in computational approaches to nanoscale physics and materials science. The group's work has significant implications for the development of next-generation electronic devices, quantum technologies, and advanced materials.

Juan Manuel Corchado Rodríguezمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-agent Systems
• Wireless Sensor Networks
• +۶ مورد دیگر

Juan Manuel Corchado Rodríguez is a Full Professor with Chair at the University of Salamanca, Spain, where he has held numerous leadership positions including Vice President for Research and Technology Transfer (2013-2017), Director of the Science Park, Director of the Doctoral School, and Dean of the Faculty of Science (elected twice). He belongs to the Department of Computer Science and Automation and leads the BISITE Research Group focused on Bioinformatics, Intelligent Computing Systems and Educational Technology. His educational background includes a PhD in Computer Sciences from the University of Salamanca (1998) with thesis titled "Multi-agent systems based on hybrid artificial intelligence algorithms for real-time predictions and complex series" supervised by Dr. José Rafael García-Bermejo Giner, and a second PhD in Artificial Intelligence from the University of the West of Scotland. Corchado's research spans multiple cutting-edge domains in computer science, with primary focus on multi-agent systems, artificial intelligence, and ambient intelligence. His work integrates these technologies to solve real-world problems in smart cities, healthcare monitoring, energy management, and accessibility. He has pioneered approaches that combine wireless sensor networks with intelligent agents to create context-aware systems that can adapt to user needs and environmental conditions. His research particularly emphasizes practical implementations that bridge theoretical advances with tangible applications. Analysis of his recent publications reveals a consistent trajectory toward increasingly integrated intelligent systems. His work has evolved from foundational multi-agent architectures like PANGEA to sophisticated applications in smart territories, energy management, and healthcare. A notable trend is the convergence of multiple AI techniques (neural networks, case-based reasoning, organizational models) within single frameworks. His research increasingly addresses societal challenges through technological solutions, particularly in sustainable urban development and assistive technologies for vulnerable populations. Corchado directs the BISITE Research Group (Bioinformatics, Intelligent Computing Systems and Educational Technology), which operates within multiple university institutes including the University Research Institute in Animation Art and Technology, the University Institute for Science and Technology Studies, and the Biomedical Research Institute of Salamanca. His team develops practical applications of AI and multi-agent systems across various domains, with particular emphasis on creating technologies that improve quality of life and operational efficiency.

María Belén Pérez Lanchoمشاهده پروفایل

استاد

• Multi-agent Systems
• Ambient Intelligence
• Context-aware Computing
• +۵ مورد دیگر

María Belén Pérez Lancho is a Full Professor in the Department of Computer Science and Automation at the University of Salamanca, Spain. With over 25 years of academic experience since completing her PhD in 1995, she maintains active affiliations with multiple research groups including BISITE (Bioinformatics, Intelligent Computing Systems and Educational Technology), CaUSAL (Academic Culture, Heritage and Social Memory), and Process Supervision and Control. Dr. Pérez Lancho earned her doctoral degree from the University of Salamanca with her thesis "Integrated process control system: a practical approach" supervised by Dr. Eladio Sanz García. Her academic foundation in systems engineering and automation has evolved into diverse research applications across multiple domains. Her research program demonstrates remarkable breadth while maintaining technical coherence. She has pioneered context-aware multiagent systems for home care environments, developing architectures like HoCa and HoCCAC that monitor patients and optimize task scheduling. In environmental science, she created hybrid intelligent systems for forest fire prediction using Case-Based Reasoning with topology-preserving algorithms. More recently, she has addressed cybersecurity challenges in educational technology through two-factor authentication systems. Her work consistently bridges theoretical computer science with practical implementations in real-world settings. Analysis of her publication trajectory reveals a consistent focus on adaptive intelligent systems that respond to environmental changes. Her earliest work established foundations in systems engineering, which evolved into sophisticated multi-agent applications across healthcare, environmental monitoring, and security domains. The most recent publications continue this trajectory while addressing contemporary challenges in educational technology security. Dr. Pérez Lancho maintains extensive collaborative relationships, particularly with Juan M. Corchado at the University of Salamanca, as evidenced by numerous co-authored publications. Her research has been implemented in actual home care environments and environmental monitoring systems, demonstrating the practical impact of her work. Her research infrastructure includes: BISITE group focusing on intelligent computing systems and educational technology CaUSAL group examining academic culture and heritage Process Supervision and Control group applying her foundational work to industrial contexts These affiliations support her interdisciplinary approach to solving complex problems through computational methods.