جست‌وجوی استاد و پژوهشگر

Zhen Ming Jiangمشاهده پروفایل

دانشیار

• Software Engineering
• Artificial Intelligence
• Computer Systems
• +۶ مورد دیگر

Zhen Ming (Jack) Jiang is an Associate Professor and York Research Chair (Tier II) in Software Engineering for Foundation Model-Powered Systems at York University's Department of Electrical Engineering and Computer Science. His research bridges software engineering, artificial intelligence, and computer systems with significant industrial impact. Dr. Jiang earned his Ph.D. from Queen's University's School of Computing and MMath/BMath degrees from the University of Waterloo's David R. Cheriton School of Computer Science. During his doctoral studies, he collaborated with BlackBerry's Performance Engineering team, developing tools now used daily to monitor commercial software systems. His research focuses on engineering rigor for AI-powered applications , software engineering evolution in the Generative AI era , and performance optimization of large-scale systems . Key areas include software performance engineering, mining software repositories, debugging distributed systems, source code analysis, and software visualization. His work combines empirical studies with practical tool development. Recent publications reveal strong trends in applying AI to software engineering challenges, particularly in machine learning systems reliability, blockchain efficiency, and AIOps solutions. His research consistently emphasizes empirical validation using real-world systems and industrial case studies. Scientific recognition includes: York Research Chair (Tier II) in Software Engineering for Foundation Model-Powered Systems NSERC Discovery Accelerator Supplements (DAS), 2020 Best Paper Award at ICST 2016 IEEE Software Best SEIP Paper at ICSE 2015 Ph.D. Research Achievement Award at Queen's University Multiple best paper awards at WCRE, MSR, and ICSE Dr. Jiang actively supervises graduate students and has secured competitive research funding including NSERC grants. His service includes program committee roles for top conferences (ICSE, ASE, ICSME) and editorial work for leading journals (TSE, TOSEM, EMSE). He leads research initiatives focused on foundation model-powered systems, collaborating with industry partners on performance monitoring and debugging solutions for large-scale distributed environments.

David Nielsenمشاهده پروفایل

استاد

• Metabolic Engineering
• Synthetic Biology
• Biofuels
• +۴ مورد دیگر

David R. Nielsen is a Professor and Program Chair for Chemical Engineering at Arizona State University (ASU), within the School for Engineering of Matter, Transport and Energy. He holds additional roles as Senior Global Futures Scientist and is affiliated with Microbiology (PhD) and Molecular/Cellular Biology (MS/PhD) programs. His research focuses on metabolic engineering and synthetic biology to develop microbial platforms for converting renewable resources into fuels and chemicals. Education: Postdoc at MIT (2006-2009), PhD from Queen’s University (2006), and B.Sc. from University of Colorado-Boulder (2001). His lab, the Nielsen Lab, integrates microbiology, bioprocess engineering, and systems biology to address challenges in sustainable biomanufacturing. Key research areas include microbial community engineering, CO2 fixation, and biofuel production. Notable achievements include the 2018 Fulton Exemplar Faculty Award and the 2010-2011 Outstanding Professor distinction. His work spans over 80 peer-reviewed publications and includes collaborations with industry partners like Ajinomoto and Sustainable Conversion Ventures. Current projects involve enhancing cyanobacterial CO2 utilization and developing integrated bioprocessing strategies. Advising highlights include mentoring PhD candidates like Dr. Zach Dookeran and Dr. Andrew Flores, and overseeing Master’s students such as Omar Abed and Chandra Chey. Research funding exceeds $10M from NSF, DOE, and industry grants, supporting initiatives in biorefinery design, microbial tolerance engineering, and carbon-neutral processes. Professional contributions include editorial roles for Biotechnology Notes and Frontiers in Microbiology , alongside membership in AIChE, SIMB, and the Engineering Biology Research Consortium. The lab is located in Biodesign C, emphasizing interdisciplinary solutions to global sustainability challenges.

Marie-Colette van Lieshoutمشاهده پروفایل

استاد

• Stochastic Geometry
• Spatial Statistics
• Image Analysis
• +۶ مورد دیگر

Marie-Colette van Lieshout is a Professor of Spatial Stochastics at the Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, and a Scientific Staff Member in the Stochastics group at Centrum Wiskunde & Informatica (CWI), Amsterdam. She has been active in research since 1997 and is a leading expert in stochastic geometry, spatial statistics, and image analysis. Her educational and professional background includes positions at the University of Warwick and the Free University Amsterdam. She is currently engaged in advanced research on point processes, random fields, and tessellation models, with applications in seismic hazard, fire risk, and machine learning. Her research interests include: Stochastic Geometry Spatial Statistics Image Analysis Point Process Modeling Seismic Risk Assessment Machine Learning for Spatial Data Her recent publications (2023–2025) focus on spatial intensity estimation, marked point processes, and data-driven risk modeling, showing a strong integration of classical spatial statistics with modern computational and machine learning techniques. Key themes include adaptive kernel smoothing, infill asymptotics, and applications in environmental and public safety domains. She has received significant recognition, including: Elected Fellow, International Statistical Institute (ISI) She has been awarded multiple research grants from NWO and other agencies, including the KLEIN grant for fire risk management and the DeepNL grant for seismicity prediction in Groningen. She has supervised or collaborated with researchers such as C. Lu, Z. Baki, and R. Markwitz. She is also active in academic service, serving on editorial boards (e.g., Methodology and Computing in Applied Probability), advisory boards (InHolland University), and councils of learned societies (Bernoulli Society, KWG). She leads and participates in research clusters such as STAR and contributes to outreach and education through courses and public lectures on earthquake modeling and spatial statistics.

Deepak R Mishraمشاهده پروفایل

استاد

• Remote Sensing
• Geospatial Technologies
• Coastal Ecosystems Monitoring
• +۷ مورد دیگر

Deepak R Mishra is the Merle C. Prunty, Jr. Professor of Geography at the University of Georgia, where he serves as Professor and Head of the Department of Geography. He directs both the Center for Geospatial Research (CGR) and the UGA Small Satellite Research Laboratory (SSRL), demonstrating leadership across multiple significant research initiatives. His academic career spans geospatial science, remote sensing applications, and environmental monitoring with particular focus on coastal ecosystems. Dr. Mishra earned his PhD in Natural Resources from the University of Nebraska, Lincoln in 2006 and completed his M. Tech in Civil Engineering at the Indian Institute of Technology, Kanpur in 2002. His research focuses on combining field-based remote sensing with satellite technologies to monitor and study coastal and inland water resources. His work addresses critical environmental challenges including harmful algal blooms, salt marsh conservation, carbon sequestration in tidal wetlands, and sea level rise impacts. Dr. Mishra's research portfolio reveals strong trends in geospatial analytics for environmental monitoring, with increasing integration of artificial intelligence and small satellite technologies. His recent publications show a growing emphasis on climate change impacts on coastal ecosystems, particularly salt marsh vulnerability and carbon sequestration capacity. The work demonstrates innovative applications of remote sensing for tracking cyanobacterial blooms and developing early warning systems through platforms like CyanoTRACKER. Outstanding Service Award, SEDAAG 2019 Creative Research Medal, University of Georgia, 2017 Best Poster Award, TROPMET 2016, India Article ranked #4 in Altmetric Attention Score in Nature Climate Change 2016 Mississippi State University Faculty Research Award (2012) GRI Academic Faculty of the year (2011) Dr. Mishra has secured substantial research funding, including a $7.5 million NSF LTER grant and a $4.7 million Army Research Lab grant for autonomous navigation systems. His lab actively mentors graduate students including Tyler Lynn, Lishen Mao, and Chintan Maniyar, who contribute to projects spanning coastal monitoring, small satellite development, and AI applications. The Small Satellite Research Laboratory recently achieved a historic milestone with the launch of SPOC satellite to the International Space Station, marking UGA's first satellite deployment.

Andrew McArthurمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Antimicrobial Resistance
• +۵ مورد دیگر

Andrew McArthur is a Professor in the Department of Biochemistry & Biomedical Sciences at McMaster University, where he leads the McArthur Laboratory. His research focuses on bioinformatics , genomics , and computational biology with a specialization in genomic surveillance of antimicrobial resistance (AMR) . He spearheads the Comprehensive Antibiotic Resistance Database (CARD) and collaborates with the Canadian Anti-Infective Innovation Network (CAIN) , GenEpio Consortium , and IRIDA Platform for pathogen genomics. Education : PhD in Biochemistry (University of Victoria, 1996), Postdoctoral work at Marine Biological Laboratory (1998-1999) and National Museum of Natural History (1996-1998) His research spans antimicrobial resistance surveillance , machine learning applications , viral genomics (including SARS-CoV-2), and pathogen evolution . He has developed tools like CARD and IRIDA to standardize AMR data and enable rapid infectious disease analysis. Recent work includes machine learning models for predicting AMR, cloud-based pathogen detection , and resistome profiling in clinical and environmental contexts. He has mentored graduate students including Jalees Nasir (HSGSA Impact Award 2025), Dirk Hackenberger , Autumn Arnold , and Emily Bordeleau , as well as postdoctoral fellows like Sheridan Baker . His teaching includes courses in practical bioinformatics and biomedical consulting at McMaster University.

Paul Hastingsمشاهده پروفایل

استاد

• Developmental Psychology
• Emotional Development
• Psychophysiology
• +۵ مورد دیگر

Paul Hastings is a Professor of Psychology at the University of California, Davis. He leads the Healthy Emotions, Relationships and Development Lab, focusing on developmental psychophysiology, prosocial behavior, and stress-related mechanisms in child and adolescent mental health. His research integrates neurobiological, psychosocial, and cultural factors to understand resilience and risk in diverse populations, including LGBTQ+ youth, Mexican-origin families, and populations affected by global health challenges like the iLiNS-DYAD-Ghana trial. Research interests include prosocial development, stress physiology, family dynamics, and the biological embedding of social inequities. He has extensively studied the impact of adversity (e.g., poverty, trauma, pandemic stress) on children’s emotional and physiological outcomes. Recent work explores how cultural values, caregiving unpredictability, and nutritional interventions influence developmental trajectories. His articles highlight themes like neurobiological correlates of psychopathology, the role of prosociality in pediatric health, and the intersection of social disadvantage with immune and endocrine systems. Key findings include associations between parasympathetic activity and antiviral gene expression, and how family thriving during crises buffers children’s well-being. Students advised include R. T. Hodge, L. C. Partington, and E. Ugarte. His lab collaborates on international projects such as follow-ups of lipid-based nutrient supplement trials in Ghana and studies of stress responses post-displacement in Jordan. He emphasizes translational research to improve interventions for vulnerable youth, integrating biopsychosocial frameworks with community-focused approaches. Current projects investigate biomarkers of resilience, cultural protective factors, and the neurobiology of moral emotions in ethnic minority children.

David R. Liuمشاهده پروفایل

استاد

• Organic Chemistry
• Chemical Biology
• Biochemistry
• +۷ مورد دیگر

David R. Liu is the Thomas Dudley Cabot Professor of the Natural Sciences at Harvard University and the Richard Merkin Professor at the Broad Institute. He serves as a principal investigator at the Howard Hughes Medical Institute and director of the Merkin Institute of Transformative Technologies in Healthcare. His laboratory pioneers revolutionary genome editing technologies with profound implications for basic research and therapeutic development. Liu's research spans multiple disciplines at the intersection of chemistry and biology: Organic Chemistry Chemical Biology Biochemistry Genetic Engineering Genome Editing Technologies He pioneered base editing and prime editing techniques that enable precise DNA modifications without creating double-stranded breaks, overcoming key limitations of traditional CRISPR-Cas9 systems. His work on DNA-templated synthesis and phage-assisted continuous evolution (PACE) has transformed protein engineering and drug discovery approaches. Liu's contributions have been recognized with numerous prestigious awards: ACS Award in Pure Chemistry (2006) Election to National Academy of Medicine (2020) Election to National Academy of Sciences (2021) King Faisal Prize (2022) Breakthrough Prize in Life Sciences (2025) As an entrepreneur, Liu has co-founded multiple biotechnology companies including Editas Medicine, Beam Therapeutics, and Prime Medicine to translate his discoveries into therapeutic applications. His laboratory continues to advance genome editing technologies while developing novel approaches to treat genetic diseases through precise DNA modifications.

• Structural Biology
• Biophysics
• Notch Signaling
• +۷ مورد دیگر

Wendy R Gordon serves as an Associate Professor in the Structural Biology and Biophysics department at the University of Minnesota Medical School. Her research program bridges structural biology, biophysics, and translational medicine with significant funding from NIH sources including the National Cancer Institute and National Institute of General Medical Sciences. Dr. Gordon leads multiple active research projects focused on mechanobiology, protein engineering, and cancer therapeutics. Dr. Gordon's research interests center on understanding molecular mechanisms of cell surface receptors, particularly the Notch signaling pathway, and developing innovative tools for studying cellular mechanics. Her work spans structural biology approaches to characterize protein-DNA interactions, mechanotransduction mechanisms, and receptor regulation. She has developed novel technologies including HUH-Tags for protein-DNA labeling and tension sensors for measuring cellular forces. Her research has significant implications for cancer immunotherapy, particularly in engineering protein modulators of Notch activation for CAR T-cell therapy. Analysis of Dr. Gordon's recent publications reveals a strong focus on three interconnected research themes: 1) molecular mechanisms of Notch signaling and receptor regulation, 2) development of innovative tools for protein-DNA conjugation and cellular mechanotype measurement, and 3) applications of these technologies to cancer biology and immunotherapy. Her work demonstrates increasing integration of structural biology with functional cellular assays and therapeutic applications, particularly in tumor microenvironment and immunotherapy contexts. Dr. Gordon currently leads or collaborates on seven major research projects totaling millions in NIH funding. Her active grants include: LUMICKS C-trap for Mechanistic Studies of Biological Systems (as PI), Engineering Protein Modulators of Notch Activation for CAR T-cell immunotherapy (as CoI), Viral vector technology for cell type specific gene delivery (as CoI), Decoding mechanotransduction mechanisms of cell-surface receptors (as PI), and the Center for Multiparametric Imaging of Tumor Immune Microenvironments (as CoI). These projects reflect her expertise spanning structural biology, mechanobiology, and translational applications. Dr. Gordon's laboratory operates at the intersection of structural biology and cellular mechanobiology, with strong collaborations across the University of Minnesota campus including with cancer researchers, bioengineers, and clinicians. Her team develops and applies cutting-edge technologies including single-molecule techniques, protein engineering approaches, and high-throughput cellular mechanotype measurement systems to address fundamental questions in receptor biology with therapeutic implications.

Ajay Pillarisettiمشاهده پروفایل

استادیار

• Household Energy Use
• Air Pollution Exposure
• Human Health Impacts
• +۵ مورد دیگر

Ajay Pillarisetti is an Assistant Professor at the University of California, Berkeley's School of Public Health, Department of Environmental Health Sciences. His research focuses on the interplay between household energy use, air pollution exposure, health outcomes, and climate change in low- and middle-income countries. A graduate of UC Berkeley (PhD) and Emory University (MPH, BS), he has led global projects in India, Mongolia, Nepal, Guatemala, Peru, and Rwanda. PhD – Environmental Health Sciences, UC Berkeley MPH – Global Environmental Health, Emory University BS – Biology, Emory College His work employs low-cost air quality sensors, longitudinal surveys, and randomized controlled trials like the HAPIN study to assess health impacts of clean fuel interventions. Key subfields include exposure assessment, implementation science, pollution's metabolic effects, and policy-driven energy transitions. He collaborates with teams across four continents and has published extensively on household air pollution's multi-scale health burdens. Recent articles (2023–2025) highlight trends in quantifying PM2.5's health effects, optimizing sensor networks, and evaluating LPG interventions for maternal/child health. His studies span Guatemala's RESPIRE cohort, Rwanda's HAPIN trial, and India's community monitoring systems, addressing gaps in exposure-response modeling, biomarker analysis, and policy advocacy.

Thomas Kellenbergمشاهده پروفایل

استاد آموزشی

• Public Policy
• Human Rights
• International Law
• +۳ مورد دیگر

Thomas Kellenberg is a Teaching Professor and Executive Director of the Notre Dame Washington Program since 1998. He teaches "Foundations of Public Policy" and founded the Notre Dame Human Rights Clinic , managing internships and on-site operations in Washington, D.C. Education: University of Notre Dame (undergraduate), Harvard Law School (JD) with Human Rights Fellowships Prior experience: Worked in Santiago, Chile during Pinochet's dictatorship; clerked for judges John C. Coughenour and Robert R. Beezer Professional affiliations: Admitted to the District of Columbia bar; previously taught at University of Washington and Catholic University Law Schools Kellenberg's work focuses on human rights and public policy , bridging legal practice and education. His career spans international human rights advocacy, judicial clerkships, and legal academia, with a particular emphasis on experiential learning through the Washington Program's internship framework. He has contributed to legal education through: Founding the Notre Dame Human Rights Clinic Developing the Washington Program's curricular and operational infrastructure Mentoring students in policy analysis and legal practice contexts Key academic achievements: Harvard Human Rights Fellow C. Clyde Ferguson Fellow of Human Rights and Development His teaching integrates real-world policy challenges with theoretical foundations, emphasizing human rights applications in the U.S. and Latin America.

• Organizational Behavior
• Social Entrepreneurship
• Hybrid Organizations
• +۸ مورد دیگر

Julie Battilana is the Joseph C. Wilson Professor of Business Administration at Harvard Business School and the Alan L. Gleitsman Professor of Social Innovation at Harvard Kennedy School. She founded the Social Innovation and Change Initiative at Harvard Kennedy School and teaches Power and Influence in the MBA program. Her research spans organizational behavior, social entrepreneurship, and hybrid organizational forms. Education: B.A. in sociology and economics, M.A. in political sociology, M.Sc. in organizational sociology and public policy from École Normale Supérieure de Cachan, joint Ph.D. in organizational behavior from INSEAD and École Normale Supérieure de Cachan. Research Interests focus on divergent organizational change, hybrid organizing (social enterprises combining nonprofit and corporate models), power dynamics in institutions, and gender in organizational contexts. She examines how organizations balance social and financial goals. Article Trends show her expertise in hybrid governance (2024), sustainable product development (2023), workplace democracy (2022), ethical power use (2021), and foundational studies on social enterprises. Her work addresses institutional resistance (2012), network strategies (2013), and gender dynamics (2017). Scientific Honors include the George R. Terry Book Award (2022), Academy of Management Fellowship (2022), and multiple teaching awards (Charles M. Williams 2019, Apgar 2013). She was named a Chevalier dans l'Ordre des Palmes Académiques (2019). Teaching & Practice involves Harvard’s doctoral program, executive education, and case development. She studies network strategies for change agents and institutional entrepreneurship frameworks. Labs & Initiatives include the Social Innovation and Change Initiative at Harvard Kennedy School and contributions to the Democratizing Work Initiative, which she co-launched with global scholars.

• DNA Repair Mechanisms
• Genetics
• Pharmacology
• +۷ مورد دیگر

Colin R Campbell is an Associate Professor in the Department of Pharmacology at the University of Minnesota Medical School . His research focuses on DNA repair mechanisms , particularly DNA-protein crosslink repair , homologous recombination , and mitochondrial DNA stability , with significant contributions to understanding cancer mechanisms and genetic toxicology . Research Themes DNA-Protein Crosslink Repair Homologous Recombination Pathways Mitochondrial DNA Maintenance Chemotherapy-Induced DNA Damage Enzymatic Processing Mechanisms Article Trends 2024-2025 work emphasizes transcription-coupled DNA repair and ubiquitin-mediated repair pathways 2020-2023 studies explore mitochondrial crosslink repair and interdisciplinary sustainability leadership 2000-2018 publications cover rad51 interactions , nitrogen mustard effects , and calpain-mediated repair enzyme degradation Grants & Projects NIH/NHLBI: Summer Research (2024-2029) NIH/NIEHS: DNA-Protein Crosslink Repair (2019-2025) NIH/NHLBI: Cellular Repair Mechanisms (2018-2024) Collaborations Natalia Tretyakova (Chemistry) Hoang D Nguyen (Microbiology) Paul B Bitterman (Medicine) Beverly S Moriarity (Genetics)

Michał Paweł Michalakمشاهده پروفایل

استادیار

• computational geometry
• machine learning in Earth sciences
• statistical methods in Earth sciences
• +۲ مورد دیگر

Michał Paweł Michalak is an Assistant Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection and Department of Geoinformatics and Applied Informatics. His research spans computational geometry in geological modeling, machine learning applications in Earth sciences, statistical epidemiology, and ecclesiological dynamics. Doctoral degree from University of Silesia in Katowice Developed GeoAnomalia software suite combining C++, R, and ParaView Created unbiased risk metrics (WCSIR) for infectious disease surveillance Research focuses on: Subsurface geological modeling using combinatorial algorithms and machine learning; Spatial epidemiology emphasizing testing heterogeneity bias; Ecclesiological dynamics analyzing factional theological interactions. His 2020/37/N/ST10/02504 grant project received 'very good' evaluation for developing angular distance metrics in geological contacts. Scientific contributions include: 2025 Solid Earth paper on fault-related structure detection 2025 Frontiers in Public Health work on global pandemic risk evaluation 2023 AGH Rector award recipient Developer of open-source geological analysis tools Collaboration network includes Harvard University, Technische Universität Freiberg, and University of Texas at Austin. Currently teaching GIS modeling, optimization methods, and geoinformatics systems. Maintains a personal website with open data access.

• Wireless Sensor Networks
• Indoor/Outdoor Localization
• QoS/QoE in Vehicular Networks
• +۹ مورد دیگر

Mohammad Ali Salahuddin is a Research Assistant Professor at the David R. Cheriton School of Computer Science, University of Waterloo , specializing in networking and machine learning. He holds a Ph.D. in Computer Science from Western Michigan University (2014), with prior academic roles at Université du Québec à Montréal and Concordia University. His research spans 5G network slicing, vehicular networks, and secure content delivery systems. Education: Ph.D. (2014, Western Michigan University); M.S. (2003, Western Michigan University); M.S. (2001, SZABIST); B.S. (1999, FAST-NUCES) Dr. Salahuddin's research focuses on 5G/6G network softwarization , autonomous threat mitigation , and machine learning for network management . His work integrates reinforcement learning and federated learning for scalable solutions in SDN/NFV , IoT , and edge computing . Recent studies address data drift in encrypted traffic classification and DDoS detection using outlier exposure-based federated learning . He has received multiple best paper awards at IEEE/IFIP NOMS (2023, 2022), IEEE CNOM (2021), and Kenneth C. Sevcik Outstanding Student Paper Award (ACM SIGMETRICS, 2021). His NSF-funded projects include vehicular cloud resource management and localization techniques. Dr. Salahuddin actively contributes to academic service as Vice-Chair of IEEE KW Section's Communications Society and TPC member for top conferences.

• Services Marketing
• Consumer Wellbeing
• Perceived Innovativeness
• +۲ مورد دیگر

Lola C. Duque serves as a Professor in the Department of Business Economics within the School of Business at Carlos III University of Madrid (UC3M). Her institutional affiliation is deeply integrated with the university's research initiatives, particularly through her leadership role in the Institute for the Development of Enterprises and Markets (INDEM). She maintains an active presence in both academic and research communities as evidenced by her continuous publication record and Google Scholar profile. Her educational foundation includes: PhD in Business Studies (Cum Laude, University of Barcelona, 2005) Master's Degree in Economics and Business (Pompeu Fabra University, 2000) Degree in Business Administration and Management (National University of Colombia, 1998) International research experience spans the Norwegian Business School (BI), San Diego State University, and Vienna University of Economics. Professor Duque's research program centers on consumer behavior dynamics within service contexts, with particular emphasis on wellbeing outcomes and perceived innovativeness. Her work bridges theoretical marketing frameworks with practical applications in tourism, education, and corporate social responsibility. Notable contributions examine how firm size influences cause marketing effectiveness, psychological pricing mechanisms, and stress moderation in negative service encounters. Recent publication trends (2020-2024) reveal three dominant streams: (1) Spanish Innovation Index development (24 reports through 2024), (2) Cause-related marketing across international contexts, and (3) Higher education performance metrics. Her work appears consistently in leading journals including Journal of Retailing, International Marketing Review, and Journal of Service Research, demonstrating methodological rigor across quantitative, qualitative, and mixed-method approaches. As co-director of the Spanish Innovation Index through INDEM, she contributes significantly to national economic policy discussions. Her teaching portfolio spans undergraduate and graduate marketing courses, connecting classroom instruction with real-world enterprise challenges. While specific grant details aren't provided, her sustained publication output and institutional leadership suggest active research funding support. The INDEM research unit serves as her primary collaborative environment, where she develops innovation metrics that influence Spanish business policy. Her international research stays indicate strong global academic networks that inform both her teaching and publication strategies, particularly regarding cross-cultural consumer behavior.