جست‌وجوی استاد و پژوهشگر

• Geographic Information Systems (GIS)
• Remote Sensing
• Photogrammetry
• +۵ مورد دیگر

Dr. Gülsüm Çiğdem Çavdaroğlu Akkoç is a full-time Assistant Professor in the Information Technologies Department at Işık University's Faculty of Economics, Administrative and Social Sciences. She holds a multidisciplinary background with degrees in Mathematics Engineering, Geomatics Engineering, and Turkish Language & Literature. Education Ph.D. in Photogrammetry Engineering – Yıldız Technical University (2006–2013) M.S. in Photogrammetry Engineering – Yıldız Technical University (2003–2006) B.S. in Mathematics Engineering – Yıldız Technical University (1998–2003) B.A. in Turkish Language & Literature – Anadolu University (2016–2020) Research Interests Dr. Akkoç's research spans remote sensing , GIS , and machine learning , with applications in environmental monitoring, urban mobility, and health informatics. Her work leverages satellite imagery, mobile data, and AI to address challenges such as wildfire detection, air pollution tracking, and disease diagnosis. She actively integrates spatial data with AI to support smart city development and sustainable resource management. Scientific Awards First Prize – Mobilya Ar-Ge Proje Pazarı (2013), Entrepreneurship Category Supervision & Projects She has supervised four master's theses and led several EU and national projects including: BEE-OPTECH4Honey : Optimizing beekeeping routes using ICT TOP4HoneyChain : A sustainable smart honey value chain platform Open Data Platform for Precision Agriculture Labs & Teams Dr. Akkoç collaborates with interdisciplinary research teams in the fields of AI, geospatial technologies, and agricultural informatics. Her lab activities include developing machine learning models for real-world applications in health, environment, and urban systems.

Maria Grazia Galantinoمشاهده پروفایل

استاد

• Sociology of Risk and Uncertainty
• Urban Security
• Migration Studies
• +۳ مورد دیگر

Maria Grazia Galantino serves as Full Professor of General Sociology at Sapienza University of Rome's Department of Social and Economic Sciences. She currently presides over the Degree Program Council in Social Work Sciences and Techniques (since 2021) and previously coordinated the European Sociological Association's Research Network 22 on "Sociology of Risk and Uncertainty," establishing her as a leading international scholar in risk theory. Her research program integrates four interconnected domains: Risk in Multidimensional Contexts : Critical analysis of risk manifestations in migration flows, health crises, international conflicts, and urban security frameworks Conflict Dynamics : Examination of media framing and political discourse around security threats and migration narratives Public Opinion Formation : Investigation of how risk language shapes societal perceptions through media channels Methodological Innovation : Application of mixed-methods approaches combining quantitative surveys with qualitative ethnography Recent publications (2023-2025) demonstrate intensified focus on territorial stigma in marginalized Roman neighborhoods (particularly Quarticciolo), pandemic-induced societal transformations, and care professions within superdiverse urban environments. Her work bridges theoretical advancements in risk society concepts with empirical studies of community resilience and institutional responses to contemporary crises. Professor Galantino directs the "SECOND GENERATIONS AT UNIVERSITY" research initiative analyzing career trajectories of migrant-background students in care professions. She actively contributes to the NextCityLAB project developing participatory governance models for Rome's neighborhoods through civic mapping and community engagement. Her scholarly leadership extends through international networks including the European Sociological Association and current collaborations with urban research collectives focused on risk communication, community resilience, and innovative pedagogical approaches in sociology.

• 5G Networks
• 6G Architecture
• Spectrum Management
• +۷ مورد دیگر

Professor Panagiotis Demestichas serves as a faculty member in the Department of Digital Systems at the University of Piraeus, where he has been a Professor since April 2012. He heads the Laboratory of "Telecommunication Networks and Integrated Services" and has held significant leadership positions including Chair of the Department of Digital Systems from 2011 to 2015. His academic journey began with Bachelor's and Doctoral degrees in Electrical Engineering from the National Technical University of Athens. Professor Demestichas' educational background includes: Bachelor's Degree in Electrical Engineering, National Technical University of Athens Doctoral Degree in Electrical Engineering, National Technical University of Athens His research spans the forefront of telecommunications and network technologies, with particular expertise in 5G and emerging 6G systems. Professor Demestichas focuses on smart/cognitive/autonomic management and convergence of ICT infrastructures, SDN/NFV technologies, cognitive radio networks, and cloud and Internet of Things solutions. His work addresses critical challenges in spectrum management, network architecture design for beyond 5G systems, and the integration of artificial intelligence into network management frameworks. His research has significant implications for vertical industries including transportation, manufacturing, and smart cities, where reliable high-speed connectivity is essential. Professor Demestichas' publication record demonstrates a consistent focus on next-generation network technologies, with recent work emphasizing 6G architecture, sustainable network design, and industry-specific applications of advanced telecommunications. His research trajectory shows a clear evolution from 5G foundational work toward pioneering 6G concepts, with increasing emphasis on AI integration, sustainability, and cross-industry applications. The collaborative nature of his research is evident through participation in major European projects. Throughout his career, Professor Demestichas has held leadership positions in numerous significant research initiatives including: Project Coordinator of the OneFIT project (2010-2012) Technical Manager of the E3 project (2008-2009) Chairman of WWRF working groups, most notably the WGC "Communication Architectures and Technologies" (2004-2015) Technical Programme Committee Chair for the European Conference on Networks and Communications (EUCNC 2016) Active participation in European research programs including RACE II, ACTS, BRITE/EURAM, EURET, IST/FP5, IST/FP6, and ICT/FP7 As an educator, Professor Demestichas has made substantial contributions to academic development. He has supervised ten completed PhD theses and currently guides three additional doctoral candidates. He teaches Computer Networks I & II at the undergraduate level and has contributed to the development of research capacity through his leadership roles. His laboratory's research activities are partly funded by the European Union under Horizon 2020, reflecting the significance and impact of his work in the international research community. Professor Demestichas leads the Laboratory "Telecommunication Networks and Integrated Services" (http://tns.ds.unipi.gr), which serves as a hub for advanced research in telecommunications. The laboratory focuses on cutting-edge projects related to 5G/6G technologies, network virtualization, and intelligent network management. Through this laboratory, Professor Demestichas fosters collaboration between academia and industry, particularly in the areas of vertical industry applications of advanced networking technologies.

Huiru Zhengمشاهده پروفایل

استاد

• Bioinformatics
• Healthcare Informatics
• Machine Learning
• +۶ مورد دیگر

Professor Huiru (Jane) Zheng is a Professor of Computer Science at the School of Computing, Ulster University. She serves as Theme Leader of Data Analytics and Systems in the AI Research Centre and is a full member of the Computer Science Research Institute. As a Fellow of the UK Higher Education Academy and Senior Member of IEEE, she has established herself as a leading researcher with significant contributions to bioinformatics and healthcare informatics. Her educational background includes: PhD in Bioinformatics (2003) from Ulster University Postgraduate Certificate in Teaching in Higher Education (2005) from Ulster University Professor Zheng's research spans multiple domains of data science with applications in healthcare, agriculture, and environmental monitoring. Her primary interests include integrative data analytics in systems biology, machine learning for healthcare decision support, and assistive technology development. She has particular expertise in applying advanced data mining techniques to complex biological datasets, with a focus on improving healthcare outcomes and supporting independent living through technology. Her extensive publication record demonstrates a clear trend toward interdisciplinary research that bridges computer science with practical applications. Recent work shows increasing focus on real-world implementations of AI in digital health, precision agriculture, and environmental monitoring systems. The breadth of her research interests is evident in publications ranging from gait analysis using smart insoles to methane prediction in dairy farming and wildfire monitoring using UAVs. Professor Zheng has received notable recognition for her contributions: Fellow of the UK Higher Education Academy Senior Member of IEEE As a principal investigator, Professor Zheng has successfully secured substantial research funding from diverse sources including EPSRC, TSB, DEL, NHS, Invest NI, Innovation UK, and the European Commission. Her leadership extends to editorial roles for international journals and organizing major conferences such as the UK Workshop on Computational Intelligence. She has supervised numerous research students through her various projects. Professor Zheng leads several active research initiatives including the AI Research Centre's Data Analytics and Systems theme. Her current projects involve developing digital twin technology for personalized healthcare, AI-assisted systems for post-stroke rehabilitation, methane prediction models for sustainable dairy farming, and age-friendly built environment assessment systems. These projects often involve multidisciplinary collaboration across computer science, healthcare, agriculture, and environmental science domains.

Sarah Schönbrodt-Stittمشاهده پروفایل

پژوهشگر

• Sustainable Land Management
• Water Management
• Soil Properties
• +۸ مورد دیگر

Dr. Sarah Schönbrodt-Stitt is a Researcher at the Chair of Remote Sensing , part of the Institute of Geography and Geology under the Faculty of Philosophy at the University of Würzburg . She actively contributes to projects like WASCAL-DE-Coop (West Africa climate adaptation), MedWater (Mediterranean water security), and Central Asian Waters (CAWa), with expertise in soil erosion, climate change impacts, and remote sensing for environmental monitoring. Education includes a PhD in Geography from the University of Tübingen (2008–2014), focusing on soil erosion in the Three Gorges Dam area, and a diploma in Geography (main) with minors in Geology and Environmental Economics from Universities of Greifswald and Göttingen (2001–2007). Her work spans field research, data analysis, and international collaboration, including internships in Namibia, Tunisia, and Germany. Research Interests center on sustainable land and water management , integrating remote sensing and GIS for ecological modeling in dynamic regions. Key areas include soil degradation , climate change adaptation , disaster risk reduction , and project coordination . Her recent publications focus on soil moisture mapping , cropland classification , and transboundary water governance in regions like the Aral Sea and Mediterranean agroforestry systems. Scientific Trends from her 15 most recent articles show a strong emphasis on remote sensing applications for soil moisture estimation , land degradation , and water resource management . She leverages Sentinel-1/Sentinel-2 data , Cosmic-Ray Neutron Probes , and machine learning to address challenges in Central Asia , West Africa , and Mediterranean ecosystems . Grants & Collaborations include funding from the German Federal Ministry of Education and Research (BMBF) for WASCAL-DE-Coop and MedWater, and the Federal Foreign Office for CAWa. She collaborates with institutions like the Institute for Advanced Sustainability Studies (IASS), Geoforschungszentrum (GFZ), and Potsdam Institute for Climate Impact Research (PIK).

• Geomorphology
• Remote Sensing
• Sedimentology
• +۷ مورد دیگر

Georg Stauch is a Professor at the University of Würzburg, holding the Chair of Geomorphology within the Institute of Geography and Geology, Faculty of Philosophy. His research spans multiple continents with particular focus on the Tibetan Plateau, Gobi Desert, and Central European reservoir systems. He employs advanced remote sensing techniques including Google Earth Engine and UAV photogrammetry to investigate landscape evolution and human-environment interactions. Stauch's research focuses on geomorphological processes in arid and high-mountain environments, with particular emphasis on sediment dynamics, climate change impacts, and anthropogenic influences. His work integrates field observations , remote sensing data , and sediment analysis to understand landscape evolution across various temporal scales. Recent research has increasingly incorporated microplastic analysis as a novel tool for dating sedimentary archives and understanding pollution history. His publication record reveals strong trends in utilizing multi-decadal satellite imagery to track dune migration rates across the Tibetan Plateau and Gobi Desert regions, while simultaneously investigating reservoir sedimentation as archives of human industrial activity in Central Europe. The integration of traditional geomorphological methods with modern cloud computing approaches represents a distinctive methodological signature across his recent work. Stauch actively contributes to educational innovation through projects like smartphone-based 3D landform mapping and XR technologies for geographical spatial analysis. His research group participates in multiple collaborative projects examining disaster risk, resilience, and environmental change across diverse global settings.

• Rural Planning
• Urban and Regional Planning
• Sustainable Rural Development
• +۳ مورد دیگر

Professor Aliye Ahu Gülümser serves at Istanbul Technical University's Faculty of Architecture within the Department of Urban and Regional Planning. Her current roles include Director of the ITU Environment and Urbanization Application and Research Center and past leadership as Department Head (2020-2022). Her research focuses on Rural Planning , Strategic Spatial Planning , and Sustainable Rural Development , with particular emphasis on rural entrepreneurs, ethical urban planning, and resilience frameworks. Key projects include Istanbul's Natural and Rural Areas Sustainable Management and Turkey's Spatial Strategy Plan development. Recent publications analyze metropolitanization impacts in Turkey, ethical perspectives of urban planners, and material innovations in contemporary practice. Her work consistently bridges academic research with practical applications in Turkish urban contexts. First Prize Antakya Metropolitan Municipality (2021) Ilhan Tekeli Thesis Master's Thesis Award (2022) She actively supervises theses (24 in progress per Scopus) and leads major research projects including TTO Turkey's Spatial Strategy Plan and Rural Area Planning Models. Her professional network spans the Regional Studies Association, Urban Economics Association, and TMMOB Chamber of Urban Planners since 2004. Gülümser directs the ITU Environment and Urbanization Application and Research Center, focusing on sustainable development projects at Taşkışla Campus. Her collaborative work includes international partnerships through Vrije Universiteit Amsterdam research experience.

Raja Staggers-Hakimمشاهده پروفایل

استادیار

• Race and Racism
• Social Stratification and Inequality
• Environmental Injustice
• +۳ مورد دیگر

Raja Staggers-Hakim, Ph.D., is an Assistant Professor in the Department of Sociology at the University of Connecticut. Her research focuses on the intersections of race, racism, oppression, and health, particularly examining how social stratification, environmental injustice, and police brutality affect health outcomes in marginalized communities. Education: Ph.D. and B.A. from Howard University, MPH from New York University Dr. Staggers-Hakim's scholarship appears in journals such as the Journal of Human Behavior and the Social Environment and the Western New England Law Review , as well as in the Praeger Handbook of Environmental Health . Her 2022 book, Profiled Life: A Systems Approach to Understanding the Foundations and Persistence of Racism in America , analyzes systemic racial disparities across multiple domains including mortality, incarceration rates, and disease prevalence. Her research emphasizes environmental injustice, structural racism, and health disparities in African American and Latino populations. Key subtopics include community violence, police brutality, coping strategies, and social determinants of health.

Weibing Gongمشاهده پروفایل

استادیار

• Climate change-related hazards
• Seismic hazards
• Infrastructure resilience against natural hazards
• +۳ مورد دیگر

Weibing Gong is an Assistant Professor of Geological Engineering in the Department of Geosciences and Geological and Petroleum Engineering at Missouri University of Science and Technology (Missouri S&T), affiliated with the Center for Intelligent Infrastructure in Rolla, Missouri. His educational background includes: Ph.D. in Geosystems Engineering, University of California, Berkeley (2023) M.S. in Geotechnical Engineering, Tongji University (2018) B.S. in Civil Engineering, Central South University (2015) Dr. Gong's research centers on natural hazard mitigation , with emphasis on climate change impacts , seismic resilience , and AI-driven infrastructure monitoring . His work integrates remote sensing and machine learning to enhance geological engineering solutions, particularly for landslide prediction and pavement systems, while exploring emerging applications in carbon capture technologies. Analysis of his 2023-2025 publications reveals a pronounced shift toward physics-informed AI for geotechnical challenges, featuring recurrent themes in regional landslide modeling (especially in Puerto Rico and Greece), dynamic pavement response under traffic loads, and unsaturated soil mechanics . This interdisciplinary approach bridges computational science, civil engineering, and environmental systems through advanced numerical frameworks. Dr. Gong actively contributes to Missouri S&T's Center for Intelligent Infrastructure, focusing on developing next-generation methodologies for infrastructure resilience against natural hazards through computational innovation and field-based validation.

Sanjay Madriaمشاهده پروفایل

استاد

• Cybersecurity
• Sensor Cloud Computing
• Delay-Tolerant Networks
• +۵ مورد دیگر

Sanjay Madria is a Curators’ Distinguished Professor in the Department of Computer Science at Missouri University of Science and Technology. His research spans mobile and sensor computing , machine learning , cloud security , and blockchain , with applications in underground mining safety , UAV systems , and disaster response . PhD: Indian Institute of Technology, Delhi (1995) His work integrates secure sensor cloud architectures , delay-tolerant network optimization , and AI-driven risk assessment . Recent publications focus on UAV swarm detection , reinforcement learning for mining environments , and privacy-preserving social media analytics . Scientific Awards include IEEE Best Paper Awards , NRC Fellowships , and JSPS Fellowship . Funded by NSF , NIST , DOE , Honeywell , and Boeing . He contributes to IEEE/ACM Distinguished Speaker programs and leads the Center for Intelligent Infrastructure at Missouri S&T.

• Geo-AI (Geospatial Artificial Intelligence)
• XR (Extended Reality)
• Machine Learning
• +۶ مورد دیگر

Dr. Abolghasem Sadeghi-Niaraki is an Associate Professor in the Department of Computer Science and Engineering at Sejong University's College of Engineering, where he has served since 2017. He leads the eXtended Reality (XR) Research Center and holds a Research Professor position at the Super-Realistic XR Technology Research Center (2022-2030). Previously, he was an Assistant Professor at INHA University's Department of Geo-Informatics Engineering (2009-2017). Recently appointed as a Fellow at Harvard University's Spatial Data Lab (SDL), he conducts collaborative research in spatiotemporal data analytics and geo-AI. Dr. Sadeghi-Niaraki's research spans Geo-AI, XR technologies, Machine Learning, Metaverse applications, and IoT. His work focuses on applying AI to geospatial problems, developing immersive technologies for education and cultural heritage, and creating predictive models for natural hazards. He has secured significant funding for XR Metaverse research from the Ministry of Science and ICT, focusing on Real-Virtual integration. His interdisciplinary approach combines computer science with environmental science, urban planning, healthcare, and education. His research portfolio demonstrates strong trends in geospatial AI applications for environmental monitoring, particularly in natural hazard prediction (floods, wildfires, earthquakes), as well as innovative educational applications of VR/AR. Recent work shows increasing integration of large language models with immersive technologies and a growing focus on healthcare applications within virtual environments. Dr. Sadeghi-Niaraki has received significant recognition including: Top 2% Scientist Worldwide (Stanford-Elsevier 2024) Fellow at Harvard SDL, Center for Geographic Analysis Australian Endeavour Fellowship Recipient Member of IEEE & AAG (American Association of Geographers) He has led over $9.3 million in research funding, supervised 40+ Master's and 6+ Ph.D. students, and collaborated with 14 universities across 8 countries in immersive technology development. His laboratory work centers on the eXtended Reality Research Center at Sejong University, where his team develops patented methods for context-aware AR/VR systems applied to tourism, cultural heritage, and smart city planning.

Sebastian Wattمشاهده پروفایل

استاد

• Tephrochronology
• Volcanic landslide and tsunami hazards
• Volcanic edifice stability
• +۳ مورد دیگر

Prof. Sebastian Watt is a volcanologist at the University of Birmingham's School of Earth and Environmental Sciences. His research spans physical volcanic processes, tephrochronology, and hazard assessment, with fieldwork conducted in Central Mexico, Indonesia, Papua New Guinea, and the Lesser Antilles. NERC Postdoctoral Fellow (Southampton, 2011) Active PI on projects including Ruang volcano tsunami hazards (2024-2025) Research focuses on: Long-term volcanic eruption records Volcanic edifice collapse mechanics Subduction zone volcanism Volcano-climate feedbacks Statistical methods in geology 2024-2025 publications analyze arc volcanism in Mexico, gravitational instability at Anak Krakatau, and subsea cable hazards. Earlier work includes heat flow studies offshore Montserrat and Antrim lava stratigraphy. Awards include: EGU Arne Richter Award (2014) Geological Society Murchison Fund (2015) Current projects address eruption-driven tsunami risks in Indonesia and lacustrine tephra records in Mexico. Collaborates with institutions in the UK, US, and partner countries. Supervises PhD students through field-based interdisciplinary research combining geochemistry, geophysics, and geochronology.

Betty Laiمشاهده پروفایل

استاد

• Disaster Mental Health
• Child and Adolescent Trauma
• Health Psychology
• +۲ مورد دیگر

Dr. Betty Lai is Professor of Counseling Psychology in the Counseling, Developmental & Educational Psychology department at Boston College’s Lynch School of Education and Human Development. She directs the Lai Lab , which investigates how children and families respond to disasters and other traumatic stressors, with an emphasis on mental and physical health outcomes and school functioning. Education Ph.D. in Psychology, University of Miami M.S.T. in Education, Pace University B.A., Columbia University Research Interests Dr. Lai’s theory-guided research centers on three primary themes: Understanding how community resources and individual factors help youth prepare for, respond to, and recover from disasters. Examining the pathways linking disaster exposure to psychological distress (PTSD, depression, anxiety), health behaviors (physical activity, diet), and biological health outcomes (blood pressure, cardiovascular risk). Translating findings into policy and practice through schools, evidence-based interventions, and advanced statistical modeling. Recent Research Trends Across her 2023-2025 publications, Dr. Lai has focused on integrating large public datasets to model post-disaster trajectories, evaluating innovative science-communication strategies, and co-designing community-school partnerships that bolster youth well-being after environmental jolts such as hurricanes and COVID-19. Awards & Honors Distinguished Research Award in Counseling, AERA Division E (2022) Dorothy Booz Black Award for Outstanding Contributions in Health Psychology, APA Div. 17 (2022) Diane J. Willis Early Career Award, APF/Div. 37 (2018) APA Early Career Award for Outstanding Contributions to Benefit Children, Youth, and Families (2017) Excellence in Instruction Award, Georgia State University School of Public Health (2017) National Scholar, Academy on Violence and Abuse (2014) Mary Fran Myers Scholarship for Disaster Research and Practice (2014) Grants, Training & Leadership Dr. Lai’s work has been continuously funded by the National Science Foundation, National Institute of Mental Health, and the National Academies of Sciences, Engineering, and Medicine. She currently leads a $50,000 Grodman Family Foundation project on “Climate Impacts on Youth,” a $40,000 Boston College Research Across Departments grant evaluating science-communication practices, and an $11,500 Schiller Institute exploratory collaboration grant. She is also Principal Investigator on an NIMH-funded study examining child PTSD trajectories after natural disasters. Beyond grants, she mentors the next generation of scholars through her lab, authored the best-selling Grant Writing Guide: A Road Map for Scholars (Princeton University Press, 2023), and is preparing the forthcoming The Public Scholar (Princeton University Press). Labs & Teams Betty Lai directs the Lai Lab , an interdisciplinary research group that applies advanced statistical and psychometric techniques to large-scale survey and biomarker data. The lab collaborates with the International Consortium to Predict PTSD and partners with school districts, community organizations, and international agencies to translate research into scalable interventions for children and families affected by trauma.

Naonori Uedaمشاهده پروفایل

استاد پژوهشی

• Machine Learning
• Artificial Intelligence
• Physics-Informed Deep Learning
• +۵ مورد دیگر

Naonori Ueda is a Research Professor and Deputy Director at RIKEN Center for Advanced Intelligence Project. He also serves as a Visiting Fellow at NTT Communication Science Laboratories, Research Supervisor for Mathematical Information Platform at Japan Science and Technology Agency (JST), and Visiting Professor at Kobe University's Graduate School of System Informatics. His distinguished career spans academia, government research institutions, and industry collaboration, with significant contributions to advancing artificial intelligence and machine learning applications across multiple scientific domains. Dr. Ueda's research interests focus on the intersection of machine learning, artificial intelligence, and physical sciences. He specializes in physics-informed deep learning approaches that integrate governing physical equations with neural network architectures. His work spans geophysical data analysis, remote sensing applications, computational seismology, and environmental monitoring systems. He has pioneered methods for crustal deformation modeling, earthquake prediction, tsunami inundation forecasting, and satellite imagery analysis using advanced machine learning techniques. His research demonstrates how AI can solve complex scientific problems by bridging the gap between data-driven approaches and physical domain knowledge. His publication record reveals a strong trend toward applying machine learning to solve real-world geophysical and environmental challenges. His recent work shows increasing sophistication in physics-informed neural networks that incorporate domain-specific knowledge into deep learning architectures. The publications span high-impact journals like Nature Communications, demonstrating the interdisciplinary significance of his work. His research consistently focuses on practical applications of AI for disaster prevention, environmental monitoring, and scientific discovery. Fellow of IEICE (Institute of Electronics Information and Communication Engineers) Member of Japan Prize field review committee Selection Committee Member for Brilliant Female Research Award (The Jun Ashida Award) Member of Kyoto Prize Selection Committee Dr. Ueda has secured substantial research funding through multiple government-sponsored projects including RIKEN Pioneering Project 'Prediction Science,' JST AIP Acceleration Research projects on weather prediction and drug discovery, and AMED-funded medical research initiatives. His leadership extends to serving as Sub-project Director for Japan's Moonshot R&D Project. He actively mentors researchers through his roles at RIKEN, NTT, and various academic institutions, fostering the next generation of AI scientists. As Deputy Director of RIKEN Center for Advanced Intelligence Project, Dr. Ueda leads one of Japan's premier AI research initiatives. He also serves on the Advisory Board of Kobe University's Mathematical and Data Science Center and Kyoto University's Graduate School of Informatics. His leadership extends to coordinating the AI Seminar at Osaka Industrial Association and supervising the Keihanna 'Edison Society' at the International Institute for Advanced Studies, demonstrating his commitment to bridging academic research with industrial applications.

Vittal Hariمشاهده پروفایل

پژوهشگر

• Hydroclimatology
• Drought Dynamics
• Monsoon Rainfall
• +۳ مورد دیگر

Vittal Hari is a Researcher at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. He contributes to the XEROS (eXtreme European Droughts) project, analyzing drought genesis and climate change impacts across Europe. His work bridges climate dynamics with hydrological modeling, focusing on Indian summer monsoon systems and their global teleconnections. Education : PhD in Environmental Engineering (IIT Bombay), M.Tech in Water Resources (NIT Karnataka), B.Tech in Civil Engineering (SJCE Mysore) Research Interests span: Drought characterization using long-term climate data Monsoon rainfall dynamics and large-scale atmospheric circulations Climate change impacts on hydro-meteorological extremes Computational hydrosystem modeling Compound environmental risks Publications (2022-2025) reveal a focus on: North Pacific influences on Indian heatwaves Atlantic Meridional Mode's role in monsoon prediction Multi-decadal drought trends in Europe Teleconnections between oceanic variability and precipitation extremes Climate change attribution in hydrological systems Urban heat island effect diagnostics Scientific Recognition : Fulbright-Kalam Fellowship (2018) for postdoctoral climate research at University of Iowa IITB Award for Excellence in Ph.D. Thesis (2015-2017) for monsoon-climate research Collaborative Work includes projects with international teams on: Operational drought forecasting systems Climate model evaluation (CMIP6) Hydrological ensemble modeling Global climate risk frameworks