جستجوی استاد راهنمای دانشگاهی

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.

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

Marta Casanellas is a full professor in the Department of Mathematics at the Polytechnic University of Catalonia (UPC) and a researcher at the Centre de Recerca Matemàtica. She teaches at the Faculty of Mathematics and Statistics, ETSEIB, and FIB. She earned her PhD in mathematics from the University of Barcelona under RM Miró-Roig, focusing on algebraic geometry and liaison theory. After completing a postdoc at UC Berkeley with a Fulbright Scholarship, she shifted her research to applications of algebraic geometry in computational biology, particularly phylogenetics. Her educational background includes a PhD from the University of Barcelona (2002), followed by a postdoctoral fellowship at UC Berkeley (2002-2003) supported by a Fulbright Scholarship. She obtained a prestigious Ramón y Cajal contract at UPC in 2003, which marked her transition to interdisciplinary research at the intersection of mathematics and biology. Casanellas' research focuses on applying algebraic and geometric techniques to phylogenetics, with particular emphasis on evolutionary models, phylogenetic invariants, and computational methods for genomic data analysis. Her work bridges pure mathematics (particularly algebraic geometry) with biological applications, developing mathematical frameworks to reconstruct evolutionary histories and understand genomic relationships. She has published extensively in both mathematics journals like Advances in Mathematics and biology journals like Molecular Biology and Evolution. Her recent publications demonstrate a consistent focus on developing algebraic methods for phylogenetic analysis, with increasing attention to heterogeneous evolutionary processes across lineages, time-reversible models, and computational implementations of theoretical results. The trend shows progression from theoretical foundations in algebraic geometry toward increasingly sophisticated and applicable computational methods for biological data. Fulbright Scholarship for postdoctoral research at UC Berkeley Ramón y Cajal contract (2003) Casanellas has supervised PhD students including A. Kedzierska (co-supervised with R. Guigó of the CRG). She has served as principal investigator for three competitive Spanish government projects involving fifteen researchers each. She has held significant academic leadership roles including Deputy Director of Research of the Department of Mathematics at UPC (2015-2018), head of studies for the Degree in Data Science and Engineering at UPC (2018-2022), and currently coordinates UPC's PhD in Bioinformatics program and Bachelor's Degree in Bioinformatics. She leads the BIO-GEOMAP research group focused on applying mathematical techniques to biological problems.

• Algebraic Geometry
• Computational Biology
• Phylogenetics
• +۴ مورد دیگر

Devin G. Pope is the Steven G. Rothmeier Professor of Behavioral Science and Economics at the University of Chicago's Booth School of Business. His research examines psychological biases in economic decision-making using observational data across diverse markets including healthcare, voting, transportation, and consumer behavior. Pope has published extensively in top economics journals (American Economic Review, Quarterly Journal of Economics), general science publications (Science, Nature), and interdisciplinary outlets (Management Science, Psychological Science). His research interests bridge behavioral economics and psychology, focusing on vaccination incentives , racial bias measurement , consumer decision heuristics , and observational data analysis . Recent work leverages smartphone data to study religious attendance patterns, voting wait times, and geographic mobility. Pope's research methodology emphasizes real-world field experiments and large-scale observational datasets to identify psychological biases affecting economic outcomes. Notable scientific contributions include: Co-editing the American Economic Review Amazon Scholar appointment (2019-2021) Robert King Steel Faculty Fellowship Steven G. Rothmeier Professorship Pope advises PhD students and teaches graduate courses including Behavioral Economics and Workshop in Behavioral Science. His research has received significant external funding for pandemic response studies and behavioral interventions. Pope maintains active research collaborations across economics, psychology, and public health disciplines through the Booth School's research centers and workshops.

• Behavioral Economics
• Psychology-Economics Intersection
• Observational Data Analysis
• +۴ مورد دیگر

Prof. Edward L. D'Antonio is a Professor of Biochemistry and Structural Biology at the University of South Carolina Beaufort (USCB). He has held progressive academic appointments since 2013, advancing from Assistant to Associate and Full Professor. His research is centered on drug discovery for neglected tropical diseases, particularly Chagas disease caused by Trypanosoma cruzi . Research Interests: His work integrates Medicinal Chemistry , Structural Biology , and Biochemistry to develop inhibitors targeting pathogenic proteins. He employs structure-based drug design , high-throughput screening , and enzymatic assays to identify compounds with improved efficacy and reduced toxicity. Recent Article Trends: His recent publications and patent focus on antiparasitic agents, including natural products like malvidin and gossypol derivatives. These studies combine in silico modeling , in vitro testing , and protein characterization , reflecting a multidisciplinary approach to therapeutic development. Scientific Awards: Outstanding Undergraduate Research Mentor Award (2018) The American Institute of Chemists Foundation Award (2008) Advising and Grants: He has mentored undergraduate researchers and received the 2025 RISE research grant from the University of South Carolina. The grant supports his project on enzymatic hemoglobins in marine polychaetes, in collaboration with researchers from the Smithsonian Environmental Research Center. Labs and Teams: His research program involves both independent work and international collaborations, including scientists from Emory University, Laboratório de Biotecnologia in Brazil, and researchers in Peru and Ecuador. He also collaborates with Dr. Luis Goyzueta-Mamani and Dr. Miguel Angel Chávez-Fumagalli on antileishmanial drug discovery.

• Medicinal Chemistry
• Structural Biology
• Biochemistry
• +۷ مورد دیگر

Aitor Goti Elordi is a Professor in the Department of Mechanics, Design and Industrial Management at the Faculty of Engineering, University of Deusto. His extensive research portfolio spans industrial engineering, maintenance optimization, Industry 4.0 implementation, and sustainable manufacturing practices. He leads multiple EU-funded and industry-collaborative research projects focused on digital transformation in manufacturing sectors. His research interests center around the intersection of industrial engineering and digital transformation, with particular focus on maintenance optimization using evolutionary algorithms, predictive maintenance systems, and the development of future skills requirements for evolving industrial sectors. His work bridges theoretical research with practical industrial applications, particularly in the Basque manufacturing ecosystem. Analysis of his recent publications reveals a strong trend toward interdisciplinary research addressing Industry 4.0 challenges across multiple sectors. His work consistently focuses on practical applications of data science and AI in industrial contexts, with growing emphasis on sustainability and circular economy principles. A distinctive pattern in his research is the development of competency frameworks to identify future skills requirements across various industrial sectors including steelmaking, renewable energy, and supply chain logistics. Professor Goti Elordi leads multiple significant research projects including SUSTASKILLS (2023-2025) focused on industrial symbiosis skills, REshaping Supply CHAins for Positive social impact (2022-2025), and Real-time acoustic sensorS and artificial Intelligence appLications (2023-2026). His work has secured funding from the European Commission, Basque Government, and major industrial partners including SIDENOR, NEMAK, and ETXE-TAR. He actively supervises student projects, particularly in the area of machinery redesign and additive manufacturing applications. His teaching and research integrate practical industrial experience with academic rigor, emphasizing the development of both technical and transversal skills needed for future industrial challenges.

• Industrial Engineering
• Maintenance Optimization
• Industry 4.0/Digital Transformation
• +۶ مورد دیگر

Maha Shaikh is an Associate Professor at the Department of Operations, Innovation and Data Sciences within Esade Business School , Ramon Llull University. She holds an ORCID identifier 0000-0001-5110-1619 and maintains an active research agenda across multiple domains of information systems and open technology.

• Open Source Software
• Public Sector Digital Transformation
• Information Systems Governance
• +۳ مورد دیگر

Alejandro F. Villaverde is a Ramón y Cajal research fellow at the Department of Systems & Control Engineering, Universidade de Vigo. His research focuses on structural properties of nonlinear systems, particularly structural identifiability and observability analysis. His primary research interests include: Structural identifiability of dynamic models Observability analysis of nonlinear systems Control theory and systems engineering Development of computational tools for model analysis Applications in systems biology and pharmacokinetics Villaverde's work centers on developing mathematical methods and software tools to analyze structural properties of nonlinear models. His most notable contributions include the STRIKE-GOLDD MATLAB toolbox and its Python counterpart StrikePy, which implement the FISPO algorithm for simultaneous assessment of state observability and parameter identifiability. His research has practical applications in systems biology, biochemical network analysis, and pharmacokinetic modeling where model validation and parameter estimation are critical. Among his scientific recognitions, he holds the prestigious Ramón y Cajal research fellowship, a competitive program in Spain supporting experienced researchers. Villaverde actively supervises students, with David Rey Rostro having developed the StrikePy toolbox under his supervision. His work demonstrates strong connections between theoretical control engineering and practical computational implementations, making structural analysis methods more accessible to researchers across various disciplines.

• Structural identifiability
• Observability analysis
• Nonlinear systems
• +۳ مورد دیگر

Talia Ringer is an Assistant Professor at the University of Illinois at Urbana-Champaign , focusing on making program verification using interactive theorem provers more accessible through improved proof engineering tools and practices. Her research addresses challenges in maintaining proofs as programs evolve and advancing formal verification. Ph.D., University of Washington (2021), NSF GRFP and P.E.O. Fellow B.S., Mathematics and Computer Science, University of Maryland Former software engineer at Amazon Her research interests include: Program Verification Proof Engineering Dependent Type Theory Interactive Theorem Provers (Coq) Key trends in her publications include: Automated proof generation and repair using large language models Tool development for Coq and other proof assistants Formal verification of software and data structures Integration of identifiers and type equivalences in verification Test input generation for software reliability Scientific awards and honors: NSF Graduate Research Fellowship Program (GRFP) P.E.O. Scholar Award She has advised numerous researchers through her work and founded the SIGPLAN-M Mentoring Program and Computing Connections Fellowship . No specific student names are listed in the scraped text.

• Verification
• Proof Engineering
• Dependent Type Theory
• +۳ مورد دیگر

Ana Lozano Vivas is a Professor in Economics at the University of Malaga, holding her position within the Economic Theory and History Department of the Faculty of Economics and Business. Her office is located in room 3414 of the Faculty building, with contact available via +34 952131256 and avivas@uma.es. Education PhD in Economics, University of Malaga Research Focus Her work centers on Efficiency and Productivity , Banking , Microeconomics , and Applied Microeconomics , with particular emphasis on bank risk assessment, corporate governance impacts, and financial stability mechanisms. She employs advanced empirical methods to analyze banking systems across international contexts and crisis periods. Publication Trends Her 2014-2020 publications reveal consistent investigation into banking sector dynamics, particularly examining how macroprudential policies affect risk behavior, the relationship between charter value and supervision effectiveness, and efficiency variations among foreign banks during crises. Her research demonstrates strong methodological rigor through segmentation analysis and cross-country comparative frameworks. Research Infrastructure Chair of Competition Policy Smart Decision Lab (Experimental Laboratory) Advanced Economic Analysis Group Professional Identifiers ORCID: 0000-0001-7965-7061 Researcher ID: L-5058-2014 Google Scholar profile

• Efficiency and Productivity
• Banking
• Microeconomics
• +۱ مورد دیگر

Raquel Lama Lopez is a Juan de la Cierva-former researcher affiliated with the Department of Pharmacology, Pharmacy and Pharmaceutical Technology at the University of Santiago de Compostela (USC). She operates within the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), focusing on pharmacological and immunological approaches to marine/aquaculture disease control. University: University of Santiago de Compostela Department: Pharmacology, Pharmacy and Pharmaceutical Technology Research Center: CIMUS Her research spans multiple domains: (1) Marine Immunology - identifying novel fish-specific immune proteins like Igldcp and NK-lysin for antiviral/antiparasitic applications, (2) Pharmacological Modulation - investigating anti-inflammatory compounds (e.g., AG5) that preserve innate immunity, (3) Viral Disease Modeling - using zebrafish and turbot models to study nodavirus and rhabdovirus infections, and (4) Biomaterials Development - creating 3D-printed scaffolds for bone tissue engineering with sterilization analysis. Publication trends show a strong emphasis on fish immunology , antiviral mechanisms , marine biotechnology applications, and biomaterials research. Her work combines molecular biology techniques with in vivo model systems to address both aquaculture challenges and broader biomedical questions. Her doctoral thesis at USC (2021) focused on developing new strategies for controlling viral diseases in aquaculture. She has contributed to understanding host-pathogen interactions in fish species through transcriptomic analyses and explored natural products from cyanobacteria for antiviral activity against fish pathogens.

• Pharmacology
• Marine Biotechnology
• Virology
• +۳ مورد دیگر

David Pineda Oliva is an Associate Professor in the Department of Philosophy at the University of Girona. His academic work is centered on the philosophy of mind, particularly the mind-body problem, mental causation, emotions, and desires. He is affiliated with the Research Group in Philosophy and contributes to both national and international philosophical discourse. His research interests include: Philosophy of Mind, especially the causal efficacy of mental states The nature and structure of emotions and their interplay with desires Foundations of mental representation and consciousness Logical and philosophical underpinnings of cognitive science David has published extensively in leading philosophy journals such as Philosophy and Phenomenological Research , European Journal of Philosophy , Theoria , Dialectica , and International Studies in the Philosophy of Science . He is the author of two influential books: La mente humana and Sobre las emociones , both published by Ediciones Cátedra. His publications reflect a sustained engagement with core issues in metaphysics and epistemology of mind, focusing on how mental phenomena can be causally effective in a physical world and how emotions contribute to rational cognition. His scientific contributions are recognized through his ORCID identifier (0000-0002-2505-7551), and he actively participates in research projects and academic conferences. While no specific awards are listed, his publication record in high-impact journals indicates scholarly recognition. He advises students in philosophy and contributes to the academic community through his role in the Research Group in Philosophy. There is no mention of external grants, but his sustained research output suggests ongoing institutional or project-based support. He is based in office 4.16 at the Sant Domènec I building in Girona.

• Philosophy of Mind
• Philosophy of Science
• Mental Causation
• +۵ مورد دیگر

Gleb Pogudin is an Assistant Professor at École Polytechnique, Institute Polytechnique de Paris, where he is a member of the MAX team within the Laboratoire d'informatique. His research focuses on the intersection of symbolic computation, differential equations, and algebraic methods with applications across multiple scientific domains. Dr. Pogudin's primary research interests span several interconnected areas: Symbolic computation and computer algebra algorithms Theory and applications of differential and difference equations Nonlinear algebra and polynomial systems Structural identifiability of dynamical models Model reduction techniques for complex systems His recent publications (2024-2025) demonstrate a strong focus on developing theoretical foundations for differential elimination, structural identifiability analysis, and model reduction. These works span applications in systems biology, epidemiology, pharmacology, and optics. Notably, his research bridges pure mathematical theory with practical computational implementations, creating tools that address real-world scientific challenges. Dr. Pogudin has developed several significant software tools that implement his theoretical advances: StructuralIdentifiability.jl: A Julia package for assessing structural identifiability CLUE: Software for exact model reduction of ODE models via constrained lumping SIAN: Software for structural identifiability analysis of ODE models His GitHub repositories contain numerous implementations of algorithms from his papers on differential elimination and related topics, demonstrating his commitment to making theoretical advances practically accessible to researchers across disciplines.

• Symbolic computation
• Algorithms for differential equations
• Algorithms for difference equations
• +۵ مورد دیگر

Research Focus: His work spans genetics of psychiatric disorders (ADHD, autism, addiction), neurogenetics, and episodic neurological disorders like migraine. Key projects include the CoCA consortium studying ADHD comorbidities and the Aggressotype project investigating aggression mechanisms. Awards: National Habilitation (2011), Advanced Research Accreditation (2011), multiple teaching/research awards. Grants & Projects: Led studies funded by EU (e.g., CoCA, Eat2beNICE) and Spanish Ministry of Science. Major contributions include identifying genes like NFAT5 in cocaine dependence and RBFOX1 in aggression. Collaborations: Member of IMpACT, Psychiatric Genomics Consortium, and CIBER-ER network. Active in international initiatives like the ADHD Working Group of the Psychiatric Genomics Consortium. Publications: Over 100 peer-reviewed articles, including landmark studies on autism genetics and ADHD genome-wide loci. Labs/Teams: Leads the Human Molecular Genetics Research Group, focusing on translational research in psychiatric and neurological disorders.

• Genetics
• Psychiatric Disorders
• Neurogenetics
• +۵ مورد دیگر

Adolfo Esteban Martin is an Associate Professor in the Department of Optics at the Faculty of Physics, Universitat de València. He is a member of the QOVAL research group, which focuses on quantum optics, nonlinear optics, and laser physics. His research expertise lies in the field of optics, particularly in quantum and nonlinear optical phenomena. His work involves the study of photorefractive oscillators and the experimental generation and characterization of dissipative structures. These areas are central to advancing understanding in modern optical physics and laser-based systems. Dr. Martin completed his doctoral studies at the Universitat de València, where he investigated complex optical patterns in nonlinear media. His academic career has been closely tied to this institution, contributing to both research and education in physics. There are no listed scientific awards or honors in the provided information. He has not published any articles in the provided data, so no publication trends can be identified at this time. There is no mention of students he may have advised or grants he has led. The QOVAL research group serves as his primary research environment, supporting collaborative work in quantum and nonlinear optics.

• Optics
• Quantum Optics
• Nonlinear Optics
• +۳ مورد دیگر

Asuncion Aguilar Calpe is a Professor in the Department of Psychobiology at the Faculty of Psychology and Speech Therapy, Universitat de València. Her academic and research work is centered on understanding the biological underpinnings of behavior, particularly in the context of addiction. Her research interests lie primarily in psychobiology and addictive behaviours , with a focus on identifying neurobehavioural mechanisms and endophenotypes associated with substance dependence. She has been actively involved in key research groups such as ENDOFADICC and previously INVESDROGA, both dedicated to the psychobiological study of drug dependence. Dr. Aguilar Calpe earned her doctorate from the Universitat de València in 1994 with a thesis on the effects of morphine, haloperidol, and sulpiride on conditioned avoidance in male mice, supervised by Dr. Ernesto Simón Pérez. While no specific publications or awards are listed in the provided text, her long-standing affiliation with specialized research groups indicates sustained scholarly activity in her field. Research Group: ENDOFADICC – Neurobehavioural mechanisms and endophenotypes of addictive behaviour Former Research Group: INVESDROGA – Psychobiology of Drug Dependence She advises students and contributes to research projects within her domain, though specific advisees are not named. There is no mention of external grants or funding, but her role in structured research groups suggests collaborative project involvement.

• Psychobiology
• Addictive Behaviour
• Neurobehavioural Mechanisms
• +۴ مورد دیگر