جست‌وجوی استاد و پژوهشگر

Carsten Keßlerمشاهده پروفایل

استاد

• Geographic Information Systems
• Population Distribution
• Migration Studies
• +۷ مورد دیگر

Carsten Keßler is a Professor at the Department of Sustainability and Planning within The Technical Faculty of IT and Design at Aalborg University. He holds adjunct professorships at Bochum University of Applied Sciences (since 2021) and the Ph.D. Program in Earth and Environmental Sciences at the City University of New York (2017–2021). His research focuses on geoinformatics, population dynamics, migration patterns, and spatial data infrastructure. Education: Not explicitly listed in provided texts, but his academic rank implies doctoral qualification. Key research areas include: - Geographic Information Systems (GIS) for urban and environmental analysis. - Migration studies , including historical migration patterns and future migration scenarios for Europe. - Spatial data infrastructure development and open educational resources for GIScience. - Machine learning applications in population modeling and environmental projections. He leads/co-leads projects such as FUME: Future Migration Scenarios for Europe (2019–2023) and EO4SDG: Earth Observation and Deep Learning for Sustainable Development . His work has produced over 75 publications, with recent focus on climate resilience, urban heatwaves, and geoprivacy. Notable awards include a prize for High-resolution spatialized population projections (2017). He actively contributes to academic peer review, conferences, and educational initiatives in geoinformatics.

Ingo Scholtesمشاهده پروفایل

استاد

• Machine Learning
• Network Science
• Graph Mining
• +۵ مورد دیگر

Prof. Ingo Scholtes is a Full Professor of Machine Learning for Complex Networks at Julius-Maximilians-Universität Würzburg's Center for Artificial Intelligence and Data Science (CAIDAS). He holds a doctorate in computer science and mathematics from the University of Trier and has held roles including SNSF Professor at the University of Zurich, Full Professor at Bergische Universität Wuppertal, and Senior Assistant at ETH Zürich. His research focuses on higher-order graph analytics for temporal networks, machine learning, and computational social science. Education: PhD in Computer Science (University of Trier, Germany), Postdoctoral Research at ETH Zürich (2011–2016), and prior roles at Karlsruhe Institute of Technology and CERN. Research Interests: Machine learning on graphs, temporal network analysis, higher-order network models, and their applications in software engineering and social systems. He develops open-source tools like pathpy and git2net for network analysis. Recent Work: Focuses on causality-aware graph neural networks, temporal graph isomorphism, and network science applications in AI. Recent articles include studies on temporal network dynamics, path prediction, and Bayesian inference of network transitions. Awards: SNSF Professorship (2018), Junior-Fellowship (2014), and German Academic Scholarship Foundation (2004-2005). Active in editorial roles for EPJ Data Science and leadership in GI's Computational Social Science working group.

• Financial Economics
• International Economics
• Macroeconomics
• +۵ مورد دیگر

Luc Laeven is the Director-General of the Research Department at the European Central Bank (ECB) and a Professor of Finance at Tilburg University. He holds a PhD in Economics from the University of Amsterdam (2001) and has held roles at the IMF, World Bank, and ABN Amro Bank. His research focuses on banking, international finance, monetary policy, and systemic risk, with notable publications in top journals like the American Economic Review and Review of Financial Studies. Education: PhD in Economics (University of Amsterdam, 2001), MSc Econometrics (Tilburg University), MPhil in Economics (LSE). Affiliations: ECB Director-General, CEPR Research Fellow, Tilburg University Professor, and advisory roles at LSE and SAFE. His research interests span financial crises, macroprudential regulation, climate policy, and the impact of digital currencies. Recent work examines the effects of carbon taxes on fossil lending, the role of macroprudential policies in stabilizing financial systems, and green innovation drivers. Awards include the NYU-Fordham-RPI Rising Star in Finance Award (2014). Policy Contributions: Advises on ECB policies, chairs research committees, and publishes extensively on central bank digital currencies, pandemic responses, and banking regulations. His books include Systemic Risk, Crises, and Macroprudential Regulation (MIT Press) and Deposit Insurance Around the World (MIT Press).

• AI Ethics
• Network Analysis
• Machine Learning
• +۳ مورد دیگر

Dr. Doina Bucur is a prominent academic in the Electrical Engineering, Mathematics and Computer Science (EEMCS) faculty at the University of Twente. Her work bridges interdisciplinary research in AI ethics, network science, and computational sustainability. She leads the DECIDE project, which focuses on transparent AI decision-making systems impacting public services, healthcare, and insurance sectors. Her research spans machine learning applications in ecological networks, fault detection in sensor systems, and multi-objective optimization in social networks. She has pioneered methods for analyzing microbial community structures (e.g., gFlora), automated fault tree learning, and bias reduction in AI systems. Grants & Collaborations: Recipient of NWA ORC funding (2024) for the DECIDE initiative. Collaborates with over 50 researchers across disciplines including computer science, philosophy, law, and psychology. Active in developing evolutionary algorithms for network vulnerability analysis and multi-objective optimization. Labs & Teams: Core member of the Twente AI Ethics Lab and the Network Science Research Group. Leads interdisciplinary teams addressing real-world challenges through computational methods.

Aaron Steinerمشاهده پروفایل

دانشیار

• Developmental Biology
• Regenerative Biology
• Sensory Systems
• +۶ مورد دیگر

Aaron Steiner is an Associate Professor and Department Chairperson in the Department of Biology at Dyson College of Arts and Sciences, Pace University. He is based at the Westchester campus in Dyson Hall, Room 221, and can be reached at asteiner@pace.edu. His office hours are on Tuesdays from 11:00 AM to 1:00 PM and Wednesdays from 1:00 PM to 3:00 PM. Education: PhD in Cell and Molecular Biology, University of Pennsylvania School of Medicine, 2006 BS in Biology, Brandeis University, 2000 Dr. Steiner's research centers on the development and regeneration of sensory systems, particularly sensory hair cells responsible for hearing and balance. These cells degenerate with age or due to noise and ototoxic drugs, and unlike in mammals, zebrafish naturally regenerate them. His lab leverages zebrafish as a model to uncover the molecular and cellular mechanisms enabling regeneration, aiming to translate findings into therapies for human hearing loss. He employs genetic tools and advanced microscopy to dissect regenerative pathways. His recent publications span topics including hair cell regeneration, gene expression in neural development, and live imaging techniques. The work demonstrates a consistent focus on sensory biology, regeneration mechanisms, and innovative experimental assays using zebrafish. His publications appear in high-impact journals such as PNAS , PLOS ONE , and Journal of Visualized Experiments . Scientific Awards: No awards listed in the provided text. Dr. Steiner mentors students through research courses such as BIO 480, BIO 481, BMB 710, and BMB 711, indicating active supervision of undergraduate and graduate researchers. While specific grants are not mentioned, his ongoing research program and publication record suggest sustained funding. He teaches a broad range of courses, including General Biology, Genetics, Neurobiology, Developmental Biology, and independent research modules. His laboratory focuses on the zebrafish lateral line system as a model for sensory regeneration. The team utilizes confocal microscopy, laser ablation, and genetic analysis to study progenitor cell behavior and molecular regulation during regeneration. This work contributes to the broader field of regenerative medicine and neural repair.

Azamat Junisbaiمشاهده پروفایل

استاد

• Social Stratification and Inequality
• Political Sociology
• Post-Soviet Transitions
• +۱ مورد دیگر

Azamat Junisbai is a full-time Professor of Sociology at Pitzer College since 2009, specializing in Social Stratification and Inequality , Political Sociology , and Post-Soviet Transitions . His work combines rigorous Survey Research with comparative analysis across Central Asian contexts. Educational background: PhD and MA from Indiana University; BA from Al-Farabi Kazakh National University. Research trends show sustained focus on authoritarian regime dynamics , public opinion in post-Soviet states, and identity politics in Kazakhstan and Kyrgyzstan. Recent work extends to ethnic perceptions in geopolitical conflicts (2024) and longitudinal studies of political and economic attitudes (2010-2022). Scientific awards include a Core Fulbright Scholar Program Award NSF grant ($100,000) NCEEER grant ($40,000) IREX Research Fellowship ($16,000, declined) His grants enabled nationally representative surveys in both Kazakhstan and Kyrgyzstan. He has collaborated extensively with Barbara Junisbai and Baurzhan Zhussupov on comparative studies of Central Asian societies.

Tiago de Paula Peixotoمشاهده پروفایل

استاد

• Network Science
• Complex Systems
• Statistical Physics
• +۱۳ مورد دیگر

Tiago de Paula Peixoto is a Professor of Complex Systems and Network Science at the Institute of Science and Technology Austria (IT:U), where he leads the Inverse Complexity Lab. He has previously held faculty positions at Central European University (2019–2024) and the University of Bath (2016–2019), and conducted postdoctoral research at the University of Bremen and Technical University of Darmstadt. He holds a PhD in Physics from the University of São Paulo (2008) and a habilitation in Theoretical Physics from the University of Bremen (2017). His research lies at the intersection of statistical physics, computational statistics, information theory, Bayesian inference, and machine learning , with a central focus on inverse problems in network science . His group develops principled mathematical and computational models to infer the local interaction rules of complex systems from observed macroscopic behavior. Key research themes include statistically sound pattern detection in networks, network reconstruction from indirect data, uncertainty quantification, generative modeling of modular hierarchies and latent spaces, and scalable inference algorithms. His recent publications (2020–2025) reflect a consistent focus on advancing the theoretical and algorithmic foundations of network inference. A major theme is the development of Bayesian and information-theoretic frameworks for robust network reconstruction, moving beyond simplistic heuristics like correlation thresholding. He has pioneered methods for posterior sampling to quantify uncertainty and for minimum description length to prevent overfitting. His work also addresses scalability, with algorithms achieving subquadratic time complexity. Applications span diverse domains, including social systems (migration flows), political networks, and biological systems. Erdős–Rényi Prize from the Network Science Society (2019) Alexander von Humboldt Foundation Fellowship (2008) Karate Club Club Prize (6th recipient) Peixoto advises a vibrant group of PhD students and postdoctoral researchers, including Thomas Robiglio, Sebastian Kusch, Martina Contisciani, and Bukyoung Jhun. His former students include Felipe Vaca, Lizhi Zhang, and Silvia Guerrini. He has not received any specific grant mentions in the text, but his group’s sustained activity suggests successful funding. His lab is strongly committed to open science, with most of their methods implemented in the widely used graph-tool library, which is extensively documented and freely available. The lab organizes events like the annual Inverse Complexity Retreat and participates in major conferences such as NetSci and STATPHYS. The group is actively recruiting new PhD candidates and postdocs, indicating ongoing expansion and research momentum.

• Additive Manufacturing
• Computer-Aided Engineering (CAE)
• Biomedical Engineering
• +۱۵ مورد دیگر

Andrés García Granada is a Full Professor in the Department of Industrial Engineering at IQS School of Engineering, Universitat Ramon Llull (URL), Barcelona. He is the Head of the GEPI (Industrial Products Engineering) research group and also teaches part-time at EUETIB-UPC. His academic and professional journey includes a PhD from the University of Bristol and prior industrial experience at SEAT, AUDI, and British Aerospace. PhD in Mechanical Engineering, University of Bristol (2000) Industrial Engineering, ETSEIB-UPC (1996) His research focuses on advanced manufacturing technologies, including additive manufacturing, computer-aided engineering, residual stress analysis, and biomechanics. He applies these to biomedical challenges such as pediatric stent design and vascular tissue engineering. His work integrates simulation (Abaqus, CATIA, SolidWorks), experimental testing, and industrial collaboration. Recent research trends show a strong integration of AI and computational modeling in materials and biomedical engineering, with publications in areas like 3D-printed stents, robotic locomotion, and laser-based material processing. His projects often involve interdisciplinary collaboration with institutions like Harvard-MIT, Hospital Clínic, and UPC. Excellent Presentation Award at ISGMA2017 He leads and contributes to numerous research grants, including POLYCOARCT, AUXSTENT, and EQUIDENTAL, funded by national and regional agencies. He mentors a wide range of student projects in robotics, crash analysis, and medical device innovation. He is actively involved in knowledge transfer and innovation, holding patents in vascular repair devices. He leads the GEPI research group, which specializes in Additive Manufacturing, Reverse Engineering, and material characterization, and has been instrumental in organizing academic events and conferences such as IC4M and ICDES.

Gérard Eberlمشاهده پروفایل

استاد

• Immunology
• Mucosal Immunity
• Innate Lymphoid Cells (ILCs)
• +۷ مورد دیگر

Gérard Eberl is a Professor and the Structure Manager Responsible at the Institut Pasteur in Paris, leading the research unit on Microenvironment and Immunity. His work is central to understanding the complex interactions between the host immune system, the gut microbiota, and the nervous system. Position: Professor, Structure Manager Responsible Institution: Institut Pasteur Department: Microenvironment and Immunity Contact: gerard.eberl@pasteur.fr His research focuses on the fundamental role of the symbiotic microbiota in host physiology, particularly in the development and regulation of the immune system. He investigates the function of Innate Lymphoid Cells (ILCs) in mucosal defense and tissue homeostasis, and explores the emerging field of neuroimmunology, where he has demonstrated direct communication between gut bacteria, the enteric nervous system, and systemic immune and metabolic responses. His recent publications reveal a strong trend in the intersection of immunology, microbiology, and neuroscience. His work frequently examines how microbial signals are sensed by neurons (e.g., via Nod2) to regulate appetite and inflammation, and how the brain responds to peripheral immune signals (e.g., IL-1β) to modulate systemic physiology. His research program is highly interdisciplinary, bridging mucosal immunology, microbial ecology, and neurobiology. Dr. Eberl has supervised numerous PhD students and post-doctoral fellows, contributing significantly to training the next generation of scientists in the field of immunology and host-microbe interactions. His leadership in major projects like 'Symbiotic microbiota and the development and regulation of the immune system' and 'The role of Intestinal lymphoid cells (ILCs) in defense and physiology' underscores his prominent role in the research community. He is involved in collaborative research environments, including the 'Microbes & Brain' Grand Programme Fédérateur, which brings together international teams in neuroscience and immunology. His work is supported by significant funding from initiatives such as LabEx IBEID and the 'When Gut Bacteria Changes Brain Functions' project.

Kristīne Ozoliņaمشاهده پروفایل

مدرس

• Public Health
• Problematic Gaming
• Problematic Social Media Use
• +۸ مورد دیگر

Kristīne Ozoliņa is an Acting Lecturer at the Institute of Public Health and a Ph.D. student specializing in adolescent behavioral health. Her work bridges digital behavior, substance use, and mental health, with active participation in EU research programs. Acting Lecturer, Institute of Public Health Ph.D. Student, Institute of Public Health ORCID: 0000-0002-9951-7055 Research focuses on problematic gaming, social media use, and gambling, particularly their associations with substance use and mental health comorbidities among Latvian adolescents. She contributes to EU projects like Horizon Europe's EUVABECO and national tobacco control initiatives. Recent publications highlight cross-cultural studies in Europe, Central Asia, and Canada through the Health Behaviour in School-aged Children (HBSC) survey. Her methodological work addresses statistical power in behavioral research. Awards 2025: 1st place award for oral presentation in Public & Global Health / Occupational Medicine / Nutrition / Digital Medicine Active in academic presentations, including poster sessions on socioeconomic factors affecting substance use. Collaborates internationally with researchers in Cyprus, Czechia, and Canada.

• Sociology of Old Age
• Social Gerontology
• Sociology of Family
• +۶ مورد دیگر

Piotr Czekanowski is an Associate Professor at the University of Gdańsk, Faculty of Social Sciences, Institute of Sociology, currently employed in the Department of Sociology of Sport and Health. Previously, he served as Head of the Department of Applied Sociology and remains an active member of the Discipline Council for Sociological Sciences and the Institute of Sociology Program Council. Born in 1956 in Gdańsk, he earned his Doctor of Humanities in Sociology (2013) from Nicolaus Copernicus University in Toruń with a dissertation on population aging, a Doctor of Humanities (1993) from the University of Silesia in Katowice focusing on elderly loneliness, and a Master of Science in Economics (1982) from the University of Gdańsk. Additional training includes fundraising at Indiana University (1996) and English language certification (1986). His research centers on sociology of old age and social gerontology , examining socio-psychological, health, family, and material conditions of the elderly. He pioneered studies on family caregiving and local community organization for aging populations, with strong emphasis on Polish and Gdańsk-specific contexts. International collaborations include Oxford's EAST network and EU-funded projects like EUROFAMCARE. Recent publications (2015-2020) reveal consistent focus on methodological challenges in elderly research, socio-demographic determinants of urban aging, and policy frameworks for social isolation. Key trends include cross-national comparisons, municipal-level interventions, and the intersection of family dynamics with healthcare systems. His scientific awards include: University of Gdańsk 50th Anniversary Medal (2021) Rector's Individual First Degree Award for monograph (2013) Medical University of Białystok Team Scientific Award (2008) University of Gdańsk Team Award for 'Polish Old Age' (2003) Polish Gerontological Society Dissertation Award (1993) Czekanowski secured grants from Polish and EU bodies including the Polish Committee for Scientific Research (1999-2001) and EU Fifth Framework Programme (EUROFAMCARE). He developed the nationally approved 'Local Community Organization' specialization for social workers and maintains active supervision of academic clubs like the Interfaculty Scientific Sociological Club. His expert roles span municipal councils including the Pomeranian Council for Senior Policy (since 2017). He remains central to the Eastern-European Ageing Societies in Transition (EAST) research network at Oxford's Institute of Population Ageing since 2007, with recent workshop participation in Canada (2019) and ongoing EU policy engagement.

• Sociology of Homelessness
• Sociology of Religion
• Domestic Violence Studies
• +۴ مورد دیگر

Dr. Maciej Dębski serves as a Lecturer at the University of Gdańsk's Faculty of Social Sciences within the Department of Sociology of Sport and Health. His institutional affiliation includes active participation in the Pomeranian Centre for Cultural Research and the Pomeranian Forum for Exiting Homelessness in Gdańsk. His research concentrates on critical social issues with primary focus on homelessness studies (including sociodemographic profiling, prison reintegration, and social service systems), sociology of religion (examining transitions in Polish religiosity), and domestic violence . His methodological approach combines sociodemographic research with field observation techniques, particularly evident in his covert studies of homeless begging practices. Analysis of his 15 most recent publications reveals a strong regional emphasis on Pomeranian Province, with consistent application of mixed-method approaches to homelessness research. His work demonstrates increasing specialization in penitentiary reintegration systems since 2010, while maintaining his foundational interest in religious sociology. Dr. Dębski has held significant editorial responsibilities for the Forum. About homelessness without fear publication series (Years II-VI) and co-edited multiple comprehensive volumes including Faces of Homelessness (2008) and Psychosocial profile of homeless people in the Tricity (2008). His institutional engagement includes membership in the Polish Sociological Society (Gdańsk branch), International Society for the Sociology of Religion, and the Pomeranian Forum for Exiting Homelessness. His practical contributions extend to developing social reintegration programs like the Second opportunity – Wola social Reintegration Programme documented in the European Journal of Homelessness.

• Human-AI Collaboration
• Collaborative Writing with AI
• Psychology of Technology
• +۷ مورد دیگر

Teresa Luther is a researcher and doctoral candidate at the Leibniz-Institut für Wissensmedien (IWM) in Tübingen, Germany, affiliated with the Knowledge Construction lab. She holds a Master of Science in Psychology from the University of Tübingen and is currently pursuing her PhD, focusing on human-AI collaboration in writing contexts. Her educational background includes a B.Sc. and M.Sc. in Psychology from the University of Tübingen. She has served as a research assistant at the University Hospital for Psychiatry and Psychotherapy Tübingen and as a teaching assistant in Psychological Diagnostics at the Institute of Psychology, University of Tübingen. Teresa's research centers on how humans collaborate with language-based AI agents like ChatGPT, examining both individual and team-level interactions. She investigates factors such as trust, anthropomorphism, task type, and team composition in collaborative writing scenarios. Her work bridges psychology, human-computer interaction, and AI ethics, aiming to understand how AI integration affects group dynamics, performance, and user perception. The recent publications highlight a strong focus on human-AI co-writing, trust, perceived authorship, and interaction patterns. The research employs experimental, survey, and vignette-based methods, often using open science practices like preregistration and public data sharing. Key themes include the impact of writing perspectives, anthropomorphic design, and perceived competence in AI-generated content. Cortisol in schizophrenia spectrum disorders: A comprehensive meta-analysis (2025) Investigating Interaction Patterns of Co-writing with AI (2025) Teaming up with an AI: Exploring human-AI collaboration (2024) Co-writing with AI: How do people interact with ChatGPT? (2024) The impact of text topic and assumed human vs. AI authorship (2024) Teresa actively contributes to the academic community through conference presentations at HCI International and the German Psychological Society. She collaborates with prominent researchers such as Joachim Kimmerle and Ulrike Cress. While she has not yet supervised students, her role in large-scale, interdisciplinary projects indicates growing leadership in her field. Her work is supported by open science practices, including public datasets and code availability. She is involved in multiple research labs at IWM, including Knowledge Construction, Multimodal Interaction, Perception and Action, and Everyday Media, reflecting the interdisciplinary nature of her research. Her projects, such as 'Collaboration between humans and language-based agents' and 'A longitudinal study on the perceptions and dynamics of human-AI interaction', are central to understanding future human-AI collaboration in educational and professional settings.

Stefan Grunerمشاهده پروفایل

استاد

• Formal Methods
• Software Engineering
• Model Checking
• +۹ مورد دیگر

Stefan Gruner is a Professor in the Department of Computer Science, Faculty of Engineering, Built Environment and Information Technology, at the University of Pretoria, South Africa. He holds advanced degrees in Informatics (PhD, MSc) and Philosophy (MA), reflecting his interdisciplinary research that bridges formal software engineering, digital forensics, and the philosophy of technology. His work is widely published in international journals and conferences, and he is deeply involved in academic service, including supervision, examination, and program committees. Education: MA in Philosophy, Germany, 2010 PhD in Informatics, RWTH Aachen, Germany, 1999 MSc (Dipl.-Inform.) in Informatics, Germany, 1996 His research interests center on Formal Methods , Software Engineering , and the Philosophy of Computer Science . He has made significant contributions to parameterized and three-valued model checking, formal methods for railway systems, and the scientific foundations of digital forensics. His recent work explores historical semantics in software architecture and the philosophical underpinnings of informatics. His publications from the last few years reveal a strong trend towards formal verification, safety-critical systems, and the epistemological aspects of digital investigation and software engineering. Scientific Recognition: Biographic entry in Who's Who in the World (2010 edition) Member of the selection committee for the Annual Best Dissertation Award (EAPLS) Stefan Gruner is an active advisor and supervisor, having guided numerous MSc and PhD students to completion. He has secured research funding from the South African National Research Foundation (NRF) and international partners for projects on model-driven development, CSP protocol verification, and visualization of distributed algorithms. His academic service is extensive, including roles as program chair for workshops like FM+AM and SEFM, editor for conference proceedings, and external examiner for multiple universities. He has also been a visiting researcher at institutions in Bordeaux and Swansea. He was a central organizer of the Distributed Systems Research Group at the University of Pretoria and has fostered international collaborations, particularly within the formal methods and software engineering communities.

Amanda Fernandezمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +۸ مورد دیگر

Amanda Fernandez is an Assistant Professor in the Department of Computer Science at The University of Texas at San Antonio (UTSA), where she contributes significantly to research, teaching, and interdisciplinary collaboration. She will be a faculty member in the newly launching College of AI, Cyber and Computing in Fall 2025, reflecting her central role in advancing UTSA's strategic focus on emerging technologies. Her research lies at the intersection of artificial intelligence, deep learning, computer vision, and computer science education . She directs the UTSA Vision and AI Lab (VAIL) and serves as Machine Learning & Deployment Thrust Lead for MATRIX: The AI Consortium for Human Well-Being , and as a Principal Investigator in the Consortium on Nuclear Security Technologies (CONNECT) . Her work emphasizes explainable and robust AI, with applications in nuclear materials, VR/AR, and biomedical signals like ECG. The 15 most recent publications reflect a strong trend in explainable AI, adversarial robustness, and AI-enhanced education . Her work spans technical AI research (e.g., ICML, CVPR workshops) and educational innovation (e.g., SIGCSE, RESPECT), demonstrating a dual commitment to advancing both the science and pedagogy of computing. Themes include model attribution, training optimization, semantic segmentation, and the integration of LLMs in introductory CS courses. Senior Member of the IEEE Senior Member of the National Academy of Inventors (NAI) Funded by the National Science Foundation (NSF) Supported by the U.S. Department of Energy (DOE) Supported by the U.S. Department of Defense (DOD) Fernandez is deeply committed to mentoring undergraduate researchers through her CS-CURE course, which provides hands-on research experience. She advises student organizations including ACM-W and GDSC , and leads initiatives such as CS4SA to increase Latinx participation in computer science. Her grants support both research and educational outreach, emphasizing inclusivity and workforce development. She leads the Vision and AI Lab (VAIL) at UTSA and is an integral member of two major research consortia: MATRIX and CONNECT , fostering collaboration across institutions including Los Alamos National Lab, Argonne National Lab, and UNLV.