جست‌وجوی استاد و پژوهشگر

Liane Ioannouمشاهده پروفایل

پژوهشگر ارشد

• Cancer Research
• Quality of Care
• Quality of Life
• +۹ مورد دیگر

Dr. Liane Ioannou is a Senior Research Fellow and Victorian Cancer Agency (VCA) Mid-Career Research Fellow at the School of Public Health and Preventive Medicine, Monash University. She is based within the Cancer Research Program led by Professor John Zalcberg, where she leads a supportive care research program focused on improving quality of life for patients with upper gastrointestinal cancers. Her work centers on the development and implementation of clinical quality registries and patient-reported outcome measures (PROMs) in real-time clinical settings. Bachelor of Science (Hons), double major in Genetics and Psychology, Monash University PhD in Medicine, Monash University, 2013 Dr. Ioannou's research interests lie at the intersection of cancer care, public health, and patient-centered outcomes. She specializes in registry science, quality of care assessment, and supportive oncology. Her work leverages large-scale data collection to evaluate and improve healthcare delivery for cancer patients, particularly in upper gastrointestinal and thyroid cancers. She has a strong focus on patient-reported outcomes and is pioneering the integration of real-time symptom monitoring into clinical workflows. Her recent publications reflect a consistent focus on clinical quality registries, PROMs implementation, and consensus-based quality indicators in pancreatic and upper gastrointestinal cancers. These works demonstrate her leadership in translating research into practice through registry-based interventions and evidence generation. Victorian Cancer Agency (VCA) Mid-Career Research Fellow Dr. Ioannou leads multiple research projects as Primary Chief Investigator, including the PROpatient trial and national registry initiatives. She is actively involved in grant-funded research and collaborates across institutions and disciplines. She currently serves as a Chief Investigator on multi-institutional projects and accepts PhD students for supervision. Her work contributes to UN Sustainable Development Goals related to good health and well-being. She is affiliated with the Upper Gastrointestinal Cancer Registry (UGICR) and the Australian and New Zealand Thyroid Cancer Registry (ANZTCR), contributing to national efforts in cancer surveillance and quality improvement.

M Louise Burtمشاهده پروفایل

پژوهشگر ارشد

• Marine Mammal Ecology
• Acoustic Monitoring
• Environmental Statistics
• +۷ مورد دیگر

M Louise Burt is a Research Fellow at the Centre for Research into Ecological & Environmental Modelling (CREEM), part of the School of Mathematics and Statistics at the University of St Andrews, UK. She is actively engaged in statistical ecology and environmental modeling, with a strong focus on marine mammal conservation. Her work integrates acoustic and aerial survey data to estimate population abundance and assess environmental impacts. Her research interests span marine mammal ecology, passive acoustic monitoring, environmental statistics, and conservation biology. She applies advanced statistical methods, including Bayesian analysis, to wildlife population estimation and behavioral response modeling. Her work contributes directly to UN Sustainable Development Goals related to life below water and climate action. The recent articles highlight a consistent focus on marine species monitoring, particularly cetaceans, using passive acoustics and digital aerial surveys. Key themes include population abundance estimation, foraging behavior disruption due to sonar, and integrating diverse data sources for robust ecological inference. The research emphasizes statistical rigor and real-world conservation applications. Dr. Burt has contributed to significant collaborative efforts, including expert systems for population survival prediction and multi-institutional monitoring projects. While no formal awards are listed, her work has been referenced in policy sources and disseminated through conferences and public datasets, indicating impact beyond academia. She has organized the International Statistical Ecology Conference and contributed to major reports for the Scottish Government. Her work involves close collaboration with governmental and international research bodies, supporting evidence-based wildlife management and marine spatial planning. Her research is centered at CREEM, a leading institution in ecological modeling, where she works within a multidisciplinary team advancing statistical methods for environmental monitoring and conservation assessment.

• Environmental Decision Making
• Climate Risk
• Adaptation and Resilience
• +۱۷ مورد دیگر

Dr Simon Jude is a Reader in Environmental Decision Making at the Cranfield Environment Centre, Cranfield University. His research integrates environmental science, engineering, computing, and policy to develop tools and frameworks for improved decision-making under uncertainty. He leads the Cranfield University Urban Observatory (UKCRIC/EPSRC) and previously led the Decision Science Group and the NERC/ESRC DREAM Centre for Doctoral Training. He is a member of the Office for Environmental Protection's College of Experts, highlighting his influence in environmental governance. Research Interests: Climate risk, adaptation, and resilience in infrastructure and communities Development of urban observatories and living laboratories using sensor technologies Marine environmental risks related to climate change and renewable energy Natural capital accounting and environmental informatics Transdisciplinary and stakeholder-led environmental decision science His recent publications (2019–2024) show a strong trend in applying data analytics, machine learning, and network modeling to urban water systems, climate adaptation governance, and marine spatial planning. He frequently collaborates with interdisciplinary teams across environmental science, engineering, and social science domains. Scientific Leadership and Grants: Lead, Cranfield University Urban Observatory (UKCRIC/EPSRC) Former Centre Manager, DREAM CDT (NERC/ESRC) Former Leader, Decision Science Group, Cranfield Environment Centre Member, Office for Environmental Protection’s College of Experts He has secured and led major research initiatives funded by UKRI councils (NERC, ESRC, EPSRC) and collaborates with key agencies including DEFRA, Environment Agency, and water utilities. While no formal awards are listed, his leadership roles reflect recognition of his scientific contributions. He advises PhD students through doctoral training programs and supervises research on climate adaptation, risk, and urban systems. He has no listed part-time status and is actively engaged in research, policy, and academic leadership.

Joseph Donaldsonمشاهده پروفایل

دانشیار

• Extension Education and Community Engagement
• Program Evaluation and Research Methodologies
• Career Development in Agriculture
• +۳ مورد دیگر

Joseph Donaldson is an Associate Professor and Director of Undergraduate Programs in the Department of Agricultural and Extension Education at North Carolina State University. He leads the Extension Education major/minor programs, advising Agricultural Science undergraduates and collaborating with statewide Extension initiatives. His roles include curriculum development, program evaluation, and professional development for Extension agents. Donaldson has held leadership positions in national organizations like the National Association of Extension 4-H Agents and the American Evaluation Association. Education: BS in Agricultural and Extension Education (University of Tennessee), MS in Agricultural and Extension Education (Pennsylvania State University), PhD in Educational Psychology and Research (University of Tennessee). Research focuses on Extension program evaluation, career pathways in agriculture, and adult learning strategies. His work emphasizes bridging educational theory with practical agricultural applications, particularly in youth development (4-H programs) and community engagement. Recent studies explore agricultural career perceptions among community college students and capacity-building for Bangladeshi farmers. Publications (2010-2024) highlight program evaluation methodologies, Extension professional competencies, and STEM education outreach. Key themes include improving Extension education quality, aligning curricula with workforce needs, and leveraging technology for youth engagement. 2024 NC State Outstanding Teacher Award 2023 AAAE Distinguished Extension Educator 2015 National Extension Professional of the Year Advising and grants: Coordinates NC State’s Extension Summer Internship Program and Career PACCS initiative for community college students. Collaborates with Tennessee Extension on performance appraisal systems and volunteer training frameworks. Labs/Teams: Leads the Undergraduate Programs unit, collaborating with agricultural education faculty to enhance program rigor and relevance. Active in cross-institutional initiatives like Explore BiGG Data’s STEM mentoring network.

Niklas Kühlمشاهده پروفایل

استاد

• Human-Centered Artificial Intelligence
• Explainable AI (XAI)
• Fairness in AI
• +۱۲ مورد دیگر

Niklas Kühl is a W3 Professor and Chairholder of Business Information Systems and Human-Centered Artificial Intelligence at the University of Bayreuth. He also serves as Director at the FIM Research Institute for Information Management and holds a Senior Expert role in Artificial Intelligence at IBM. His work bridges academia and industry, with affiliations at Fraunhofer FIT and extensive international collaborations including with Carnegie Mellon University, MIT-IBM Watson AI Lab, and the University of Warwick. His research lies at the intersection of machine learning and human factors, focusing on the development of socio-technical information systems. Key interests include explainable AI, fairness in algorithmic decisions, human-AI collaboration, trust calibration, and the application of AI in sustainability, healthcare, and digital business. He emphasizes data-centric AI and robust, scalable AI products, with a strong focus on ethical and societal implications. The 15 most recent publications highlight a consistent trend toward human-centered AI, with a focus on explainability, fairness, and appropriate reliance in human-AI teams. There is growing emphasis on generative AI, multi-agent systems, and AI applications in healthcare and sustainability. Publications span top venues in AI (AAAI, CHI), information systems (ECIS, ICIS, HICSS), and ethics (FAccT), reflecting interdisciplinary impact. Best Paper Awards (multiple) Summa Cum Laude, PhD, Karlsruhe Institute of Technology Niklas Kühl has advised numerous researchers and students, many of whom appear as co-authors in his publications, though specific advisees are not listed. He has led significant research projects in human-AI collaboration, inter-organizational analytics, and AI for sustainability, often funded by public and industrial partners. His work at IBM and Fraunhofer demonstrates strong industry engagement. He leads the Applied AI in Services Lab (formerly at KIT) and is deeply involved in the FIM Research Institute, contributing to digital transformation in business and society. His collaborations span global institutions, and he actively promotes digital education through initiatives like Education for Refugees, which he co-founded.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۳ مورد دیگر

Dr. Atie Kia is a Lecturer in Computing Technologies at the School of Science, Computing and Emerging Technologies, Swinburne University of Technology. Her work bridges artificial intelligence, sustainable development, and inclusive education, with a focus on impactful research and innovative teaching. PhD in Engineering (Machine Learning and Data Science) from the University of Melbourne Master of IT (Network & Security) from Deakin University Bachelor of Applied Computing from Southern Cross University Her research applies AI and data science to social good, particularly sustainable development and SDG prioritization. She has developed frameworks for SDG resource allocation, presented to the United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM), and focuses on inclusive education for neurodiverse learners. Dr. Kia has published in top-ranked journals, including the Best Journal Paper Award (IEGRC 2023) , and her work on SDG prioritization has garnered significant citations. Her research spans machine learning, policy analysis, and systems thinking. Teaching Excellence Acknowledgment (2019) Student Experience Award (2020) Star Award for Student Experience, Accountability & Value Creation (2022) Recipient of multiple academic honors at Deakin University She has supervised over 80 student IT projects (36 Master’s and 50 Bachelor’s) and collaborates with industry partners on real-world challenges. Her teaching spans software development, cybersecurity, data science, and game programming.

Cristina Villanuevaمشاهده پروفایل

پژوهشگر

• Water Quality and Health
• Environmental Epidemiology
• Exposure Assessment
• +۷ مورد دیگر

Cristina Villanueva is an expert researcher at the Barcelona Institute for Global Health (ISGlobal) specializing in water quality and health, with a strong focus on exposure assessment to chemicals in water and environmental epidemiology. She coordinates research studies on water contaminants and health at ISGlobal and leads multiple collaborative projects including Characterising Oral Exposure to Nanoplastics and Microplastics , Risk of colorectal and breast cancer with widespread drinking water chemical contaminants , and Prenatal exposure to poly- and perfluorinated substances (PFAS) in drinking water and neurodevelopment early in life . Graduated in Environmental Sciences (1998), Universitat Autònoma de Barcelona (UAB) PhD in Environmental Epidemiology (2003), Universitat Autònoma de Barcelona (UAB) Post-doctoral training at INSERM in Rennes, France (2004-2005) Researcher at CREAL (2006-2016) Dr. Villanueva's research spans multiple critical areas of environmental health, focusing on disinfection by-products (DBPs), per- and polyfluoroalkyl substances (PFAS), microplastics, nitrate, mixtures, and their relationship to non-communicable diseases including cancer, pregnancy and child health outcomes, and respiratory conditions. Her work integrates biomarkers and mechanisms (including -omics approaches) with risk and health impact assessment in the context of planetary health and drought-related water quality issues. She leads the CIBERESP group 38 and teaches Environmental Epidemiology to graduate students at the Global Health Master (UB) and the Planetary Health Master (UOC). Analysis of her recent publications reveals a strong focus on the epidemiological relationships between drinking water contaminants and health outcomes, particularly cancer risk. Her work increasingly incorporates advanced methodologies including metabolomics, bioassays, and multi-cohort designs to assess exposure to nitrate, trihalomethanes, PFAS, and microplastics. Recent research emphasizes exposure assessment challenges, risk characterization across multiple contaminants, and the integration of toxicological and epidemiological evidence. Dr. Villanueva serves as Work Package leader of the Horizon Europe project intoDBP. Innovative tools to control organic matter and disinfection byproducts in drinking water and is a member of the research team for the BWATER and MARCHES projects. Her leadership extends to coordinating multiple international collaborative research efforts focused on water contaminants and their health implications. Her laboratory and research team work at the intersection of environmental exposure science and health outcomes research, with particular emphasis on exposure assessment methodologies, biomarker development, and epidemiological study design to address critical questions about drinking water safety and public health protection.

• Social Network Analysis
• Trust Modeling
• Criminal Network Analysis
• +۷ مورد دیگر

Pasquale De Meo is a Professor at the Department of Computer Engineering, Modeling, Electronics and Systems at Mediterranea University of Reggio Calabria, Italy. With over 178 publications spanning from 2003 to 2025, he has established himself as a leading researcher in social network analysis, trust modeling, and complex systems. His work frequently appears in top-tier journals including IEEE Transactions, Expert Systems with Applications, and Knowledge-Based Systems. De Meo's research focuses on social network analysis, trust modeling, criminal network analysis (particularly Sicilian Mafia operations), graph theory, and machine learning applications to networks. His work combines theoretical network science with practical applications in security, recommendation systems, and data mining. He has pioneered approaches for identifying key nodes in criminal networks, developing trust prediction models, and creating robust community detection algorithms. His recent publications (2023-2025) demonstrate a strong trend toward integrating quantum-inspired methods with traditional network analysis, developing advanced recommendation systems that address cold-start problems, and applying deep learning techniques to complex network structures. His work bridges theoretical computer science with practical security applications, particularly in fraud detection and criminal network disruption. De Meo has collaborated extensively with researchers including Giacomo Fiumara (61 papers), Domenico Ursino (57 papers), Giovanni Quattrone (40 papers), and Emilio Ferrara (37 papers), forming a productive research network focused on complex systems and network science.

Tomoko Bellمشاهده پروفایل

استادیار

• Astrobiology
• Medical Geology
• Paleoclimatology
• +۴ مورد دیگر

Tomoko Bell is an Assistant Professor of Biology at Newman University 's Division of Science and Mathematics. Originally from Tokyo, Japan, she holds a Ph.D. in Earth and Planetary Science, a Master's in Environmental Science, and a Bachelor's in Marine Biological Science from the University of Tokyo, University of Guam, and Hokkaido University respectively. Education Ph.D. in Earth and Planetary Science, University of Tokyo M.S. in Environmental Science, University of Guam B.S. in Marine Biological Science, Hokkaido University Dr. Bell's research spans interdisciplinary boundaries between biology, geology, and planetary science. Her work focuses on extremophiles and their applications for astrobiology and medical research , with particular emphasis on: Biological responses to extreme environments Cosmic radiation effects on viral mutation Coral biomineralization mechanisms Climate reconstruction via coral and speleothem geochemistry Open science initiatives democratizing scientific access Her recent publications highlight innovative approaches to understanding coral responses to ocean acidification, developing underwater drilling technologies for coral core extraction, and exploring potential links between solar cycles and pandemic emergence. The 2024 article on gene expression in Japanese whiting eggs demonstrates her expanding focus into environmental genomics. Scientific Recognition : NASA Headquarters Letter of Appreciation (2023) NASA JPL Planetary Science Summer School (2021) Best Presentation Awards from JSPS and Transporter Research Association Japan Geoscience Union Outstanding Student Presentation Award (2014) Japan Society for the Promotion of Science Research Fellowship ($150,000, 2018) Actively involved in interdisciplinary collaborations, Dr. Bell serves as subject matter expert for NASA's open science curriculum development and advocates for inclusive science education through her leadership in the Open Science movement.

Peter Hocke-Berglerمشاهده پروفایل

پژوهشگر

• Nuclear Waste Management
• Transdisciplinary Research
• Technology Assessment
• +۳ مورد دیگر

Peter Hocke-Bergler is a Senior Researcher at the Institute for Technology Assessment and Systems Analysis (ITAS) under the Karlsruhe Institute of Technology (KIT) , with over two decades of experience in socio-technical nuclear waste governance. He leads the HAFF work package in the BMUV-funded TRANSENS project (2019–2022), focusing on capacity and flexibility in reversible waste disposal processes. His career spans roles in editorial teams, international delegations, and expert groups, including the OECD-NEA Nuclear Development Council (2012–2015). Current Projects: TRANSENS, DAEF, ARL Working Group Academic Network: Springer, OECD/NEA, transcript Verlag Research Interests center on transdisciplinary approaches to nuclear waste management, blending social science with technical challenges. He examines: Public participation in high-level waste governance Multi-level governance structures Long-term institutional frameworks Expert-lay communication dynamics Temporal challenges in nuclear decision-making Comparative analysis of German and Swiss disposal strategies Publications (since 2001) address socio-technical integration, stakeholder conflicts, and adaptive governance. His 2024 work on uncertainty management in TRANSENS highlights innovative approaches to future-proof disposal strategies, while 2023–2022 contributions analyze Swiss governance models and participatory mechanisms. Professional Collaborations include partnerships with institutions like the University of Hannover , Öko-Institut e.V. , and Free University of Berlin . He co-edited journals such as TATuP and contributed to Springer and transcript Verlag publications.

Claudia Filippiمشاهده پروفایل

استاد

• Quantum Chemistry
• Computational Physics
• Electronic Structure Theory
• +۳ مورد دیگر

Prof. Claudia Filippi is a Full Professor at the University of Twente since 2009, affiliated with the Faculty of Science and Technology (TNW). She leads research in the Computational Chemical Physics (CCP) group. Education: Ph.D. in Physics, Cornell University (1996) Laurea in Fisica, Universitá di Trento (1991) As a leading expert in quantum Monte Carlo (QMC) methods, her work spans electronic structure theory , excited states , and materials science . She develops advanced computational techniques for accurate molecular and solid-state simulations, with recent focus on exascale hardware adaptation and multi-level QMC approaches. Her research is characterized by quantum mechanical simulations of complex systems, including photoactive molecules , nitrogenase models , and bioconjugate systems . She contributes to method development in wave function optimization and derivative calculations for QMC, and her work bridges theoretical chemistry and computational physics . Recent publications highlight her team's work on exascale quantum simulations (2025), electronic excitations in cyanine dyes (2024), and relativistic effects in nitrogenase models (2024). She has pioneered QMC/MMpol methods for excited states and state-specific embedding potentials for accurate excitation energy calculations. Research Labs/Teams: Computational Chemical Physics (CCP) group, University of Twente Collaborations with international institutions including Universiteit Leiden and Universitá di Trento

Raed Al Kontarمشاهده پروفایل

دانشیار

• Federated Learning
• Personalized Data Science
• Uncertainty Quantification
• +۵ مورد دیگر

Raed Al Kontar serves as an Associate Professor with tenure in the Industrial & Operations Engineering (IOE) department at the University of Michigan's College of Engineering. He leads the Data Science Lab and holds affiliate appointments with the Michigan Institute for Data Science and Computational Discovery and Engineering. His research bridges probabilistic modeling with engineering applications, focusing on personalized, collaborative, and distributed data analytics where knowledge from diverse sources is integrated while preserving privacy. His research program addresses three core questions across descriptive, predictive, and prescriptive analytics: extracting shared/unique patterns across datasets, enabling collaborative model improvement while maintaining data privacy, and optimizing distributed trial-and-error processes. Key research areas include Federated Learning, Uncertainty Quantification, Bayesian Optimization, and Digital Twins, with applications spanning healthcare, manufacturing, and materials science. Current funding includes NSF (including a 2022 CAREER award), NIH, NLM, and industry partnerships. Research Trends: His recent publications demonstrate a strong focus on heterogeneous data integration through novel matrix/tensor factorization techniques, personalized PCA frameworks, and consensus-based distributed optimization. The work consistently bridges theoretical guarantees (e.g., identifiability conditions) with practical applications in hydrogel development, 3D printing, and pharmaceutical safety. Award Highlights: His group has won 12 best paper awards since 2022 across INFORMS, ASA, and IISE, including the 2024 Wilson Prize and INFORMS Data Mining Section's Best General Track Paper. Dr. Al Kontar has successfully placed multiple PhD students in tenure-track positions including Naichen Shi (Northwestern), Xubo Yue (Northeastern), and Seokhyun Chung (University of Virginia). His lab maintains active collaborations with medical researchers (NIH/NLM projects), materials scientists (autonomous experimentation), and pharmaceutical safety experts. The lab combines theoretical innovation with real-world impact, exemplified by their NSF CAREER-funded work on the Internet of Federated Things.

Rachel Holladayمشاهده پروفایل

استادیار

• Robotics
• Robotic Manipulation
• Motion Planning
• +۴ مورد دیگر

Rachel Holladay is an incoming Assistant Professor in the Mechanical Engineering and Applied Mechanics (MEAM) Department at the University of Pennsylvania's School of Engineering and Applied Science, with an anticipated start date of Fall 2025. She will hold the Asness Family Foundation Assistant Professor of Mechanical Engineering title and join the prestigious GRASP Laboratory as a key faculty member. Education: B.S. in Computer Science and Robotics, Carnegie Mellon University (2017) Ph.D. in Electrical Engineering and Computer Science, MIT (2024) Her research focuses on enabling robots to execute complex, contact-rich manipulation tasks requiring long-horizon planning and robustness against partial or uncertain information. Key areas include: Robotics Mechanical Engineering Control Systems Artificial Intelligence Computer Science Her publication record demonstrates expertise in: Mechanics-based manipulation planning Soft robotics and compliant grasping Task and motion planning integration Force-constrained tool use Motion cone analysis Fréchet error minimization Rachel is actively recruiting graduate students for Fall 2025 and works with the GRASP Lab's interdisciplinary environment that combines computer vision, machine learning, and mechanical design. She maintains collaborative ties with experts like Cynthia Sung and Daniel Koditschek at UPenn, and previously worked with Tomás Lozano-Pérez and Alberto Rodriguez at MIT's LIS Group and MCube Lab.

Andrew Kennedyمشاهده پروفایل

استاد

• Materials Science
• Additive Manufacturing
• Porous Materials
• +۷ مورد دیگر

Professor Andrew Kennedy is the Chair in Advanced Manufacturing and Head of the Department of Engineering at Lancaster University . A graduate of Imperial College and Cambridge University, he previously held academic positions at Nottingham University. His research focuses on novel manufacturing methods for advanced materials, particularly multi-phase materials like metal matrix composites, metal foams, and porous materials, using techniques such as additive manufacturing, powder processing, and gel casting. Research Interests: Development of lightweight and energy-absorbing structures, novel batteries and energy storage systems, thermal/fluid flow management, and medical devices. Collaborations: Leads the TWI-Lancaster Joining 4.0 Centre and works with experts in AI, robotics, and machine learning to enhance manufacturing processes. Scientific Achievements: Published over 140 peer-reviewed papers, holds 2 patents, supervised 40+ PhD students, and led 65+ research projects including EU initiatives with 10+ industrial/academic partners. International Collaborations: Partnerships with institutions in Spain, Germany, Finland, Romania, Greece, Italy, Switzerland, China, Thailand, India, Malaysia, Mexico, Chile, Australia, and Canada.

Anna Volodymyrivna Bakurovaمشاهده پروفایل

استاد

• artificial intelligence methods
• modeling of socio-economic processes
• self-organization of socio-economic systems
• +۱ مورد دیگر

Professor Anna Volodymyrivna Bakurova is a distinguished academic at Zaporizhzhia Polytechnic University, serving as Professor of the Department of Systems Analysis and Computational Mathematics within the Faculty of Computer Science and Technologies. With a Doctor of Economics degree and extensive experience since 2015 (and as adjunct faculty from 2004-2015), she has established herself as a leading expert in mathematical modeling and socio-economic systems analysis. Zaporizhia State Pedagogical Institute (1985): Mathematics and Physics, Teacher of Mathematics and Physics Zaporizhia State University (1999): Finance, Economist Classical Private University (2015): Systems Software, Programming Engineer Professor Bakurova's research focuses on artificial intelligence methods, modeling of socio-economic processes, self-organization of socio-economic systems, and reflexive management. Her work bridges computer science with economic applications, creating sophisticated models for complex systems analysis and decision support. She has developed innovative approaches to fuzzy logic, ontology modeling, and energy consumption analysis in industrial settings. Her recent publications reveal a strong emphasis on practical applications of theoretical models, particularly in Ukraine's current context. She has made significant contributions to war impact analysis, post-conflict reconstruction modeling, and economic resilience during crisis periods. Her work demonstrates a consistent trajectory from theoretical mathematical models toward increasingly applied research addressing Ukraine's contemporary challenges. Professor Bakurova teaches systemic analysis of socio-economic processes, artificial intelligence methods, time series analysis, methodology and organization of scientific research, intelligent decision support systems, and risk analysis of complex systems. Her teaching reflects her interdisciplinary approach, connecting theoretical foundations with practical applications. Since 2012, she has served on specialized academic councils related to mathematical methods and information technologies in economics at both Classical Private University and Dnipropetrovsk National University. Her professional activities demonstrate deep engagement with both academic governance and practical applications of her research.