جست‌وجوی استاد و پژوهشگر

Markus Zechnerمشاهده پروفایل

استاد مدعو

• Reservoir Engineering
• CO2 Sequestration
• Uncertainty Quantification
• +۳ مورد دیگر

Markus Zechner is an Adjunct Professor in the Department of Earth & Planetary Sciences at Stanford University. He holds an MS in Petroleum Engineering from the Mining University of Leoben and completed his PhD at Stanford, focusing on uncertainty quantification in enhanced oil recovery. His career includes over a decade of reservoir engineering experience with OMV, working on gas condensate reservoirs in Austria and advancing CO2 sequestration technologies. Zechner's research emphasizes geothermal energy systems, AI-driven reservoir management, and risk assessment in carbon storage. Education: MS (Mining University of Leoben), PhD (Stanford University) Research interests span reservoir engineering, CO2 sequestration, and the application of machine learning to energy systems. His work bridges academic research with industry challenges, particularly in optimizing carbon storage safety and geothermal field development. Recent publications highlight advancements in AI-centric geothermal planning and probabilistic models for oil recovery processes. His technical contributions include field pilots on polymer injection in Austria's Matzen field and Bayesian frameworks for uncertainty quantification. Zechner's expertise is anchored in integrating data-driven methods with subsurface engineering to address climate change mitigation and energy sustainability.

Christian Overgaard Christensenمشاهده پروفایل

پژوهشگر

• Structural engineering
• Bridge engineering
• Concrete structures
• +۶ مورد دیگر

Christian Overgaard Christensen is a post-doctoral researcher within the Department of the Built Environment at Aalborg University’s Faculty of Engineering and Science, based in Copenhagen. Embedded in the Division of Structures, Geotechnics and Risk and the Sustainable Structures, Materials and Construction Research Group, he investigates experimental and decision-support methods for safe management of concrete bridge infrastructure. Education & Career: Ph.D. (field and year not specified in source) Current position: Post-doctoral researcher, Aalborg University Research Interests: Christensen’s work centres on on-site proof-load testing of existing concrete bridges, development of stop criteria and monitoring thresholds using digital image correlation (DIC) and acoustic emission, and advanced strengthening techniques employing prestressed/activated CFRP systems with tailored anchorages. He couples large-scale laboratory experiments with probabilistic decision analysis to enable reliability-based reclassification and socio-economically sound bridge management. Publication Trends: Since 2018 he has authored 21 peer-reviewed outputs, among them highly practical studies on full-scale load tests, CFRP anchorage durability, and code-oriented proof-load procedures. His 2024 contributions dominate by quantity, reflecting intensive activity within the Danish Road Directorate’s national proof-load programme, and showcase a blend of experimental testing, field monitoring, and decision-analytic modelling aimed at updating Eurocode-based assessment practice. Collaboration & Projects: He collaborates extensively with senior academics J. W. Schmidt, J. D. Sørensen, S. Engelund and P. Goltermann, as well as industry partners, on projects that have informed Danish bridge assessment guidelines. He co-supervises PhD candidate K. D. S. Damsgaard investigating comparative proof-load configurations for bridge classification. Contact: Department of the Built Environment, A.C. Meyers Vænge 15, 2450 København SV, Denmark Phone: +45 9940 2925 | Email: coc@build.aau.dk | ORCID: 0000-0002-6334-9280

Katarzyna Idzikowskaمشاهده پروفایل

استادیار

• Decision Psychology
• Risk Psychology
• Behavioral Economics
• +۳ مورد دیگر

Katarzyna Idzikowska is an Assistant Professor at the Department of Economic Psychology, Koźmiński Academy. Her research focuses on decision-making psychology, risk perception, and behavioral economics, with significant contributions to replication studies and scientific methodology. Affiliation: Koźmiński Academy Department: Department of Economic Psychology Her research interests span experimental psychology, cognitive biases, and probabilistic reasoning. She actively participates in international collaborative projects like Many Labs 5, emphasizing replicability and transparency in scientific research. Katarzyna has published extensively on topics such as probability weighting, emotional regulation during crises, and interventions to improve research practices. Her work often intersects psychology with economics, particularly in risk assessment and decision theory. She has contributed to projects funded by the Ministry of Science and Higher Education (MNiSW) and the National Science Centre (NCN), including studies for the National Bank of Poland and Warsaw City Office.

• Agricultural Climate Risk Modeling
• Environmental Finance
• Geospatial Intelligence
• +۷ مورد دیگر

Dr. Thong Nguyen-Huy is a Senior Research Fellow at the University of Southern Queensland's Centre for Applied Climate Sciences, specializing in agricultural climate risk management. He holds a PhD from USQ and has held roles including Postdoctoral Research Fellow (Future Drought Fund Hub, 2021–2022), Lecturer (School of Business, 2023), and Research Fellow (2023–2024). Education: BEng, Vietnam National University-HCMC (2009) MSpatSciTech, University of Southern Queensland (2013) PhD, University of Southern Queensland (2019) Research Interests: Dr. Nguyen-Huy focuses on agricultural climate risk modeling, environmental finance, geospatial intelligence, and disaster risk management. He develops statistical algorithms, copula-based models, and GIS technologies to support decision-making. Key areas include renewable energy forecasting, decarbonization, and precision agriculture. Articles & Trends: His recent work emphasizes data-driven approaches for flood prediction, crop yield forecasting, and climate adaptation strategies. Publications highlight applications in Australia, Vietnam, and India, addressing challenges like index insurance, soil moisture modeling, and flood risk analysis. Awards & Grants: 2021 Allianz Climate Risk Research Award (Top 10 Globally) 2025 InsuResilience Solutions Fund project (Coffee Climate Insurance) 2024 Aus4Innovation grant (Crop Monitoring in Vietnam) Supervision & Grants: He supervises PhD/Master’s research on topics like GIS-based pavement management and soil moisture prediction. Current grants focus on climate resilience, satellite data applications, and flood risk reduction. Labs & Teams: He collaborates with the Centre for Applied Climate Sciences, APN Collaborative Research Programme, and industry partners to advance climate risk solutions.

Martin Petkovichمشاهده پروفایل

استاد

• Vitamin Signaling Pathways
• Nuclear Receptors
• Bone Development
• +۲ مورد دیگر

Dr. Martin Petkovich is Professor in Biomedical and Molecular Sciences at Queen's University School of Medicine. His research focuses on nuclear receptor signaling pathways, particularly vitamin A and D metabolism in health and disease contexts including bone development, kidney disorders, and cancer. Education includes a Ph.D. in Biochemistry from the University of Toronto (1986) and BSc from McMaster University. Postdoctoral training was completed at Pierre Chambon's laboratory in Strasbourg. Key research areas encompass vitamin signaling mechanisms, nuclear receptor function, metabolic regulation in renal pathology, and therapeutic targeting of retinoid pathways. Current investigations examine megalin-mediated vitamin transport and CYP24A1 enzymatic regulation. Publications demonstrate consistent focus on retinoic acid receptor biology and cytochrome P450 enzymes across developmental, metabolic, and disease contexts. Recent works integrate molecular biology with clinical applications in nephrology and oncology. Dr. Petkovich co-founded Cytochroma Inc. and serves as scientific advisor. He directs laboratory research at Queen's University with collaborations spanning multiple institutions, though no specific students or awards are detailed in available records.

Jari Turunenمشاهده پروفایل

مدرس

• Sensitivity Analysis
• Radionuclide Transport Modeling
• Environmental Safety Assessment
• +۴ مورد دیگر

Jari Turunen is a University Lecturer in Computing Sciences at Tampere University. His expertise spans signal processing, environmental safety analysis, and machine learning applications. He holds a Doctor of Science (Technology) in Information Technology (2003) and a Vocational Teacher qualification (2016) from Tampere University of Applied Sciences. His research focuses on sensitivity analysis of radionuclide transport models, environmental risk assessment, and 3D data economy applications. Notable contributions include neural network surrogate models for geochemical process emulation and studies on post-glacial land uplift in Fennoscandia. Turunen has supervised multiple master's theses in data warehouse methodology and telecom revenue analysis. He actively reviews for journals like Journal of Urban Planning and Development and collaborates internationally on topics such as radioactive waste safety analysis and industrial data utilization.

• Information Design
• Bayesian Persuasion
• Mechanism Design
• +۱۲ مورد دیگر

Raphael Boleslavsky is an Associate Professor in the Department of Economics at the School of Business Administration, University of Miami. His research lies at the intersection of microeconomic theory, information design, and political economy. His primary research interests include Bayesian persuasion , mechanism design , moral hazard , strategic communication , and political economy . He investigates how information is strategically used in markets, institutions, and political systems to influence behavior and outcomes. His work often applies game-theoretic models to study education, media freedom, protest dynamics, corporate governance, and financial reporting. The 15 most recent publications reflect a strong focus on information design and strategic signaling , with recurring themes in authoritarian politics , education quality , and contract theory . His work frequently employs tools from microeconomic theory and game theory to analyze incentive structures in complex environments. Bachelor’s degree: Princeton University (2004) Ph.D. in Economics: Northwestern University (2010) Boleslavsky has advised or collaborated with several economists, though specific students are not listed in the provided text. He has worked on grants and research projects related to information in economics , political institutions , and market design . His collaborations include economists such as Christopher Cotton, Mehdi Shadmehr, Kyungmin Kim, and Bruce Carlin. He is affiliated with research centers including the University of Miami Business School and has published in journals such as Review of Economic Studies and working paper series like NBER and CEPR. His research contributes to theoretical foundations in economics with applications in policy, finance, and political science.

Shakeel Ahmadمشاهده پروفایل

دانشیار

• Multimedia Communications
• Computer Networks
• Network Optimization
• +۵ مورد دیگر

Dr. Shakeel Ahmad is an Associate Professor in the Department of Science and Engineering at Solent University since 2015. He leads the BSc (Hons) Cyber Security Management, BSc (Hons) Computer Systems and Networks Engineering, and MSc Applied AI and Data Science programs. His research focuses on optimizing multimedia communications and computer networks to maximize user quality of experience, particularly addressing challenges in video streaming over mobile and wireless networks. He holds a PhD (Dr.-Ing) from the University of Konstanz (2008), an MSc from TUHH, and a BSc from UET Lahore. Research Interests: Multimedia Communications Network Optimization for Video Streaming 4K/8K Video Transmission Virtual Reality Network Challenges Error Resilience Techniques His recent work explores digital content strategy in higher education, including website design, student recruitment tactics, and simplification of educational content ecosystems. He has secured significant funding, including £500k from the Office for Students (OfS) in 2020 for an AI/Data Science conversion course and £50k in 2021 for a National Data Skills Pilot project. Awards/Fellowships: Fellow of the Higher Education Academy PG Certificate in Higher Education Teaching & Advising: He teaches multimedia communications, AI, data science, and cybersecurity. Supervised multiple PhD completions and contributed to successful research projects like the EU-funded 'Community Network Game' (2010-2012). Active member of IEEE and IET.

• Cognitive Neuroscience
• Autism Spectrum Disorder
• Substance Use Disorders
• +۵ مورد دیگر

Dr Natalia Albein-Urios is a Visiting Professor at Deakin University's School of Psychology , affiliated with the SEED - Lifespan strategic research center. Her work bridges Cognitive Neuroscience and Clinical Psychology , focusing on Autism Spectrum Disorder (ASD) and Substance Use Disorders (SUD) via Non-invasive Brain Stimulation (NIBS) , fMRI , and EEG . Education : PhD in Neuropsychology (Summa Cum Laude, University of Granada, 2012), Master in Health Psychology (University Miguel Hernandez, 2007), International Master in Clinical Psychology (Spanish Association of Behavioural Psychology, 2009), and BAppSc (Hons) in Psychology (University of Miguel Hernandez, 2007). Research Interests center on: Neurocognitive Mechanisms in ASD and SUD Non-invasive Brain Stimulation (HD-tDCS, TMS, TBS) Neuroimaging (fMRI, EEG) and Behavioral Interventions Emotion Regulation and Executive Dysfunction Her Recent Publications highlight advancements in: Transdiagnostic Approaches to mental health via computational modeling Brain Stimulation Efficacy in ASD and addiction Neuroimaging Biomarkers for dual disorders Scientific Awards include: Best Thesis Prize in Health Sciences, University of Granada (2016) Health Research Postdoctoral Fellowship , Deakin University (2015-2017) First Prizes for Best Poster (ECNP 2018) and Oral Presentation (ICDBMD 2011) Supervision spans 14 Honours Students since 2015 and PhD students like Gillian Clark (2017) and Dinisha Parmar (2021). She has secured grants such as the Research Development Grant (Deakin University, 2014). Her work contributes to the SEED - Lifespan team's mission in translational neuroscience.

Ernesto Armando Pacheco-Velázquezمشاهده پروفایل

پژوهشگر

• Serious Games in Education
• Logistics and Supply Chain Simulation
• Self-Directed Learning
• +۳ مورد دیگر

Ernesto Armando Pacheco-Velázquez serves as an Adjunct Researcher at Tecnológico de Monterrey's Institute for the Future of Education, specializing in Educational Technology within the Institute's research structure. His work bridges industrial engineering, mathematics education, and digital learning innovation. Academic Background: PhD in Administration (Operations Management focus) from Tecnológico de Monterrey (2004) Master of Science in Industrial Engineering (Honorable Mention) from Tecnológico de Monterrey Master of Education in Mathematics from Tecnológico de Monterrey Bachelor's in Mathematics from Universidad Autónoma de Guadalajara His research centers on serious games and simulation-based learning for developing complex skills in logistics and supply chain education. He pioneers methodologies for creating educational simulators (notably the patented LOST: Logistic Simulator) to address VUCA challenges in Industry 4.0 environments. His work emphasizes self-directed learning, game-flow theory, and adapting educational technologies for Latin American contexts through participatory design approaches. Analysis of his recent publications reveals a strong trend toward quantitative validation of educational technologies (2023-2025), with increasing focus on psychometric properties of engagement metrics, linear programming for game attribute evaluation, and UX optimization of virtual logistics simulators. His research consistently targets practical implementation in engineering education while contributing to theoretical frameworks in complex systems learning. Key Recognition: The Tower of Excellence (highest GPA in doctoral cohort) Mexican Researcher Certification - Candidate Honorable Mention in Industrial Engineering Master's program Pacheco-Velázquez actively contributes to educational innovation through the LOST simulator project (patented in 2019), which serves as a cornerstone for his research on developing comprehensive logistics vision through game-based learning. His work aligns with UN Sustainable Development Goals including Quality Education (SDG4), Industry Innovation (SDG9), and Responsible Consumption (SDG12), demonstrating commitment to practical applications of educational technology for societal impact.