Find Academic Supervisors

• Logistics and Operations Management
• Supply Chain Resilience
• Sustainable and Circular Supply Chains
• +9 more

Professor Mohamed Naim is a distinguished academic at Cardiff Business School, Cardiff University, where he holds the position of Professor in Logistics and Operations Management. He has served in several leadership roles, including former Head of the Logistics and Operations Management Section and former Deputy Dean at the Business School. He was also the founding director of the Centre for Advanced Manufacturing Systems at Cardiff (CAMSAC). He is actively engaged in high-impact research and industrial collaboration, currently leading a Knowledge Transfer Partnership (KTP) with Tower Cold Chain Solutions Ltd. and contributing to major research programs such as ASTUTE, ASTUTE2020, and AFAIR. His research interests center on the development of business systems engineering approaches to resilient supply chains, with a focus on sustainability, circularity, and flexibility in lean and agile systems. He has made significant contributions to supply chain dynamics, particularly in engineer-to-order (ETO) sectors such as construction and shipbuilding. His recent work explores digital transformation in logistics, including 5G-enabled smart ports, building information modelling (BIM), and AI-driven decision-making. The analysis of his recent publications reveals a strong trend toward interdisciplinary research, integrating operations management with healthcare (trauma systems), digital technologies, and sustainable industrial practices. His work frequently employs system dynamics, simulation, and empirical case studies to address complex supply chain challenges. Scientific Awards: Institution of Electrical Engineers' Manufacturing Division Premium (1996) Royal Academy of Engineering Global Research Award (2003) Professor Naim is actively involved in research supervision and has contributed to two Research Excellence Framework (REF2021) impact cases on innovative procurement and financially sustainable supply chains. He is a founding member of the Logistics Systems Dynamics Group (LSDG) and has led and co-directed multiple large-scale research initiatives. His work is characterized by strong industry engagement, particularly through Knowledge Transfer Partnerships and collaborations with public sector bodies like the Welsh European Funding Office (WEFO). Research Centers and Teams: Logistics and Operations Management Section, Cardiff Business School Centre for Advanced Manufacturing Systems at Cardiff (CAMSAC) Logistics Systems Dynamics Group (LSDG) ASTUTE / ASTUTE2020 / ASTUTE East programmes AFAIR project (Expert Advisor)

Chris VolinskyView profile

Clinical Professor

• Data Science
• Machine Learning
• Recommender Systems
• +12 more

Chris Volinsky is a Clinical Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, joining in September 2023. His work bridges industry-scale data science and academic research, focusing on practical applications of machine learning and statistical modeling in business contexts. Education: PhD in Statistics, University of Washington BA in Statistics and Mathematics, University of Buffalo His research interests lie at the intersection of data science and business operations, with a focus on recommender systems , personalization , social network analysis , and mitigating bias in machine learning models . He also emphasizes data visualization and the ethical implications of data usage, particularly in balancing innovation with privacy concerns and regulatory compliance. While no specific publications are listed in the provided text, his career has been defined by high-impact, real-world applications of data science, particularly in telecommunications and entertainment industries. Scientific Awards: $1M Netflix Prize (2009) as member of BellKor's Pragmatic Chaos team Volinsky has extensive experience in advising and leading data science teams. He led a team of 40 data scientists at AT&T, where he oversaw projects with significant business impact, including fraud detection, customer complaint prediction, and computer vision applications. Although formal student advising is not detailed, his leadership roles imply substantial mentorship and team development. He has not disclosed specific grants, but his work at AT&T and NYU suggests engagement with large-scale, industry-funded research initiatives. He was instrumental in pioneering work on large-scale recommender systems and continues to contribute to the evolution of data-driven decision-making in enterprise settings.

Gary F. PetersView profile

Professor

• Accounting
• Audit Risk
• Corporate Governance
• +12 more

Gary F. Peters is the Senior Associate Dean and S. Robson Walton Endowed Professor of Accounting at the Sam M. Walton College of Business, University of Arkansas. He has been a key academic and administrative leader since joining the university in 2003, previously serving as Department Chair (2016–2023) and Director of the Master of Accounting Program (2006–2016). His leadership includes overseeing faculty resources, strategic planning, AACSB accreditation, and major fundraising initiatives, including a $10 million gift to name the William Dillard Department of Accounting. PhD, University of Oregon MS, University of Missouri - Columbia BS in Accounting, Arkansas Tech University His research centers on audit risk, corporate governance, accounting disclosure, and professionalism, with a focus on the roles of audit committees, internal and external auditors. His work bridges accounting with information systems and ethics, appearing in top journals like The Accounting Review , Journal of Accounting Research , MIS Quarterly , and Journal of Business Ethics . His recent publications explore sustainability reporting, SOX compliance, executive compensation, and the impact of IT on auditing. Analysis of his recent articles reveals a strong trend toward interdisciplinary research, particularly at the intersection of accounting, governance, and sustainability. His work increasingly examines non-financial disclosures, ESG assurance, and the role of technology in audit quality and compliance. Many studies involve large-scale empirical analyses using public firm data, often co-authored with leading scholars in governance and internal audit. Joseph A. Silvoso Faculty Merit Award University of Arkansas Honors College Distinguished Faculty Award S. Robson Walton Endowed Chair Southeastern Conference Academic Leadership Development Fellow Walton College Outstanding All-Around Faculty Member Glezen and D. Cook Endowed Chairs KPMG Research Grant Bank of America Research Fund Nolan E. Williams Lectureship Gary Peters has led major curriculum and program development initiatives, including the creation of the Integrated Master’s path, the online undergraduate accounting degree, and the Master of Professional Accounting. He has been instrumental in securing endowed chairs, scholarships, and strategic funds. He advises on faculty policy, accreditation, and budgeting, and has expanded student experiences through programs like the Rome Accounting Program and enhanced analytics curriculum. His leadership extends to national service, including presidency of the Federation of Schools of Accounting and roles in AACSB accreditation committees. He has played a central role in building the Department of Accounting’s research culture and strategic direction, leading multiple AACSB reviews and developing the department’s Strategic Focus Area document. His philanthropic efforts have established numerous scholarships and strategic use funds, and he has expanded advisory boards at both departmental and college levels.

Andrew CarterView profile

Researcher

• Wildlife Conservation
• Endangered Species
• Population Ecology
• +7 more

Andrew Carter is a researcher at Charles Sturt University, actively contributing to wildlife conservation and ecological research. His work is centered on population ecology, biodiversity monitoring, and the management of invasive species, particularly in arid and semi-arid Australian landscapes. His research focuses on the conservation of endangered species through innovative monitoring techniques such as camera-trapping and spatial analysis. Key themes include the behavior and management of invasive predators like the European red fox and feral cat, as well as the long-term success of reintroducing threatened mammals into predator-free fenced reserves. The recent publications reflect a strong trend in large-scale ecological synthesis, predator ecology, and practical conservation interventions. His work integrates field data with technological tools to inform management strategies and policy. Andrew collaborates widely across Australian ecological research networks, contributing to major multi-author studies on continental-scale wildlife monitoring. His research has significant implications for conservation practice, particularly in quantifying the effectiveness of eradication programs and habitat restoration.

• Endocrinology
• Diabetes Research
• Metabolism
• +5 more

Zubin Punthakee is an Associate Professor in the Department of Endocrinology & Metabolism within the Faculty of Medicine at McMaster University. His scholarly activity spans over 30 years with 97 publications in the last 10 years, demonstrating sustained research productivity in diabetes, endocrine disorders, and metabolic health. Dr. Punthakee's research interests focus on several key areas in endocrinology and diabetes care. He has made significant contributions to understanding type 2 diabetes remission through metabolic interventions, transition care for adolescents with type 1 diabetes moving to adult care systems, hypoparathyroidism management and skeletal health outcomes, and health disparities among South Asian populations. His work often involves large-scale clinical trials, registry-based research (particularly the Canadian National Hypoparathyroidism Registry), and implementation science approaches to improve diabetes care delivery. Analysis of his recent publications reveals a strong focus on diabetes remission strategies, transition care quality improvement, and skeletal complications of endocrine disorders. His work bridges clinical endocrinology with health services research, often examining how to translate evidence into practice through audit and feedback mechanisms and structured transition programs. Dr. Punthakee has been actively involved in numerous clinical trials including the REMIT-iGlarLixi trial examining diabetes remission, and has contributed to major clinical practice guidelines for diabetes management across the lifespan. His work with the Canadian National Hypoparathyroidism Registry has produced multiple publications characterizing the etiology, clinical manifestations, and management strategies for hypoparathyroidism. His research frequently addresses health disparities, particularly among South Asian populations in Canada, examining factors like vaccine effectiveness, dietary patterns, and cardiovascular risk. This work demonstrates his commitment to addressing health equity through rigorous clinical research.

Alexander M. PetersenView profile

Associate Professor

• Science of Science
• Complex Systems
• Computational Social Science
• +7 more

Alexander M. Petersen is an Associate Professor and Graduate Chair in the Management of Complex Systems (MCS) department and the Ernest and Julio Gallo Management of Innovation Sustainability and Technology (MIST) graduate group at the University of California Merced (UCM). He is affiliated with the School of Engineering and serves as a key faculty member driving research and academic programs in complex systems and innovation management. His educational background includes a Ph.D. (2011) and M.A. (2008) from Boston University, and a B.S. (2003) in physics and mathematics from the University of Utah. Prior to joining UC Merced, he was a tenure-track faculty member at the IMT Institute for Advanced Studies Lucca in Italy. Petersen's research focuses on the evolution of large multiscale socio-economic systems by applying concepts and methods from complex systems, statistical physics, management, and innovation science. His work spans Science of Science, Computational Social Science, Complex Systems, Quantitative Finance, and Sports Analytics. He has made significant contributions to understanding research collaboration networks, innovation dynamics, convergence science, and the impact of socio-economic shocks on various systems. His publication record demonstrates a clear trend toward increasingly complex interdisciplinary work, particularly in convergence science and network analysis. His most recent publications (2024-2025) focus on global science structure, disruption metrics, national park systems, and the impact of crises on economic behavior. These works often integrate multiple disciplinary perspectives and leverage large-scale data analysis. NSF award #1738163 for research on convergence science Petersen has advised numerous graduate students, including current PhD student Andrea del Pilar Montaño Ramirez and former students Felber J. Arroyave Bermudez (PhD in Environmental Systems) and Dr. Dong Yang (MCS Postdoctoral Scholar). His research has been supported by competitive grants and has resulted in publications in high-impact journals including Nature Communications, Science Advances, and Research Policy. He is actively involved in developing new academic programs, including upcoming B.A. majors in Management of Innovation, Sustainability & Technology (2025) and Data Science & Analytics (Fall 2024). His lab focuses on complex systems analysis, with current projects examining university digital media networks, disruption metrics in science, and the integration of regional innovation systems. The research group maintains an active presence in the science of science community, regularly presenting at conferences like the Science of Team Science conference (INSciTS).

Olga ZinovievaView profile

Lecturer

• Additive manufacturing
• Metals and alloys
• Computational mechanics
• +12 more

Dr. Olga Zinovieva is a Lecturer in Mechanical Engineering and Program Coordinator at UNSW Canberra's School of Engineering and Technology. Her research focuses on computational modeling in metal additive manufacturing, particularly on processing-microstructure-property relationships. She has held research positions at the University of Bremen, Russian Academy of Sciences, and Tomsk Polytechnic University, and visiting roles in Australia, Germany, Brazil, and France. Research Interests: Modeling for additive manufacturing Multiscale methods Computational materials science Computational mechanics Microstructure evolution in 3D printing Mechanical behavior under dynamic loading Recent research trends from her publications emphasize predictive modeling of mechanical properties in additively manufactured metals, microstructure simulation, and digital solutions for advanced manufacturing. Her work integrates ICME approaches and high-performance computing to optimize alloy performance and process parameters. Scientific Awards and Grants: ARC Discovery Early Career Researcher Award (2025–2028) NSW DIN Pilot Project (2024–2025) CSIRO ON Prime Performance Bonus (2024) UNSW Start-up Grant (2022–2024) DFG-RFBR Project (2017–2022) Multiple travel and research grants from RFBR, University of Bremen, and Tomsk State University Supervision and Grants: Dr. Zinovieva actively supervises PhD and undergraduate research students in projects related to additive manufacturing modeling. She has secured over 20 grants as a Chief Investigator, including leadership in international collaborations between Germany and Russia. She mentors students through UNSW’s HDR programs and industry-linked research initiatives. Labs and Teams: She leads computational research in metal additive manufacturing at UNSW Canberra, utilizing high-performance computing resources. She collaborates with international teams at the University of Bremen and participates in editorial and advisory roles for journals such as Metals and Journal of Materials Informatics .

• Human-Computer Interaction
• Social Media Analysis
• AI-Mediated Communication
• +5 more

Mor Naaman is a Professor at Cornell University specializing in Human-Computer Interaction, Social Media Analysis, and AI-Mediated Communication. With a prolific publication record spanning over two decades, his research focuses on how people interact with social computing systems, particularly examining trust, information exposure, and community dynamics in online environments. His research interests span several interconnected domains: Human-Computer Interaction with emphasis on social media platforms, AI-Mediated Communication examining how AI systems influence human communication patterns, Misinformation Detection and analysis of information ecosystems, Location-Based Social Networks and community awareness systems, and Trust in Online Systems. His work often bridges technical and social aspects of computing, with publications appearing in top venues like CHI, CSCW, and ICWSM. Analysis of his recent publications (2022-2025) reveals a strong focus on the emerging challenges of AI in social contexts, particularly examining AI-generated content, trustworthiness evaluations of AI systems, and the social implications of generative AI. His research shows consistent interest in understanding community dynamics across platforms like Reddit, Facebook, and Twitter, with recent work examining hyperlocal communities, news consumption patterns, and cross-cultural aspects of AI-mediated communication. Mor Naaman has mentored numerous students and collaborators, including Xiao Ma, Yiqing Hua, and Marianne Aubin Le Quéré, who frequently appear as co-authors on his publications. His work demonstrates strong interdisciplinary connections between computer science, social science, and communication studies. His research methodology typically combines large-scale data analysis of social media platforms with user studies and system design, contributing both theoretical insights and practical applications for designing more effective social computing systems. Recent projects have examined AI writing assistants, community governance of AI content, and the cultural implications of AI-mediated communication.

• Marine biology
• Fish ecology
• Coral reef fish behavior
• +7 more

Professor Steve Simpson is a leading marine biologist and fish ecologist at the University of Exeter's Biosciences department. He serves as Professor of Marine Biology & Global Change and leads a dynamic research group focused on understanding marine ecosystems, particularly in the context of climate change and human impacts. His work has been prominently featured in Blue Planet II and he actively engages with industry, policy makers, and the public through media appearances and outreach activities. Education PhD, University of York, UK (2000-2004) MRes Marine & Coastal Ecology & Environmental Management, University of York, UK (1998-1999) BSc Marine Biology (Hons), University of Liverpool, UK (1995-1998) Professor Simpson's research centers on the behavior of coral reef fishes, bioacoustics, and the effects of climate change on marine ecosystems. His approach uniquely combines fieldwork in remote environments with laboratory experiments, data-mining, and computer modeling. He has pioneered new methods for listening to ocean soundscapes and understanding fish communication, revealing how anthropogenic noise disrupts natural behaviors and ecological processes. His work on climate change impacts examines shifting fish distributions and their implications for fisheries management and conservation. Analysis of Simpson's recent publications reveals two dominant research themes: the impacts of anthropogenic noise on marine life and climate change effects on fisheries. His work demonstrates how underwater noise from boats and industrial activities impairs fish hearing, disrupts predator-prey relationships, and affects reproductive success. Simultaneously, his climate change research tracks how warming seas are altering fish distributions, creating 'mackerel wars' and requiring fisheries adaptation. These research strands converge in his innovative work on developing solutions like bubble curtains to mitigate noise impacts. Scientific Awards FSBI Medal (2016) NERC Knowledge Exchange Fellowship (2011-2014) NERC Postdoctoral Research Fellowship (2004-2007) Royal Society International Fellow (2007-2008) EPHE Postdoctoral Fellow (2007-2008) Professor Simpson leads a thriving research group of approximately 10 postdocs, PhD, and Masters students. His grant portfolio includes major NERC funding for projects on marine noise impacts and climate change effects on fisheries. He has developed strong industry partnerships through a Knowledge Exchange Fellowship, working with Cefas, the Met Office, Sustainable Marine Energy Ltd, and HR Wallingford Ltd. His research has directly informed policy through contributions to Marine Climate Change Impacts Partnership reports and presentations to European Parliament. Simpson has also created innovative knowledge exchange initiatives including the 'Vision of Sustainable Fisheries in 2050' thinktank. Simpson has developed specialized research infrastructure including a mobile lab with Ecocean in Montpellier for assessing marine noise impacts, and has conducted large-scale acoustic experiments in dry docks. His work on underwater acoustics was prominently featured in Blue Planet II, and he maintains active engagement with media through TEDx talks, BBC appearances, and public lectures to schools and community groups. He serves on the International Quiet Ocean Experiment Science Committee, helping shape global research on ocean noise.

Sophie NowickiView profile

Professor

• Glaciology
• Ice-sheet modeling
• Climate modeling
• +3 more

Sophie Nowicki is an Empire Innovation Professor at the University at Buffalo's RENEW Institute, Department of Earth Sciences within the College of Arts and Sciences. She serves as Director of the Center for Geological and Climate Hazards. Her research focuses on ice sheet and sea level dynamics, using a combination of applied mathematics, remote sensing observations, and numerical modeling to understand how ice sheets interact with the global climate system. Empire Innovation Professor, University at Buffalo Director, Center for Geological and Climate Hazards Member of UB RENEW Institute Department of Earth Sciences, College of Arts and Sciences Dr. Nowicki's research interests center on glaciology, ice-sheet modeling, climate modeling, and sea level change. She studies how ice sheets interact with the global climate system and affect sea level change using a spectrum of models from idealized to large-scale continental ice sheet models. Her work is integral to climate models that provide forcing for ice sheet models, particularly through the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). She teaches courses including Introduction to Computational Earth Science, Environmental Remote Sensing, and various graduate research courses. Her recent publications reveal a strong focus on Antarctic and Greenland ice sheet modeling, sea level rise projections, and the development of advanced modeling frameworks. The research spans from fundamental glaciological processes to large-scale climate impacts, with a particular emphasis on quantifying uncertainties in ice sheet contributions to sea level rise. Her work frequently appears in top journals including Nature, The Cryosphere, and Geophysical Research Letters, and she has made significant contributions to the IPCC Sixth Assessment Report. Empire Innovation Professor recognition Lead contributor to IPCC AR6 Working Group I Principal Investigator for ISMIP6 (Ice Sheet Model Intercomparison Project) Dr. Nowicki actively mentors graduate students and postdoctoral researchers, with current advisees working on various aspects of ice sheet dynamics and sea level change. Her research is supported by multiple grants from NASA, NSF, and other agencies focused on improving our understanding and projections of ice sheet behavior in a warming climate. She leads the development of critical tools like the Cryosphere Model Comparison Tool (CmCt) and has been instrumental in establishing community standards for ice sheet modeling. She is involved with several research groups and initiatives including the Ice Sheet & Sea Level Lab at UB, which focuses on understanding how ice sheets will evolve in a warming world and what this means for future sea levels. Her team combines observational data with sophisticated modeling approaches to address key questions about ice-ocean and ice-atmosphere interactions that drive ice sheet changes.

• Databases
• Transaction Management
• Data Management in the Cloud
• +12 more

Heiko Schuldt is a Full Professor of Computer Science at the University of Basel and leads the Databases and Information Systems (DBIS) group. His research spans databases, transaction management, cloud data systems, digital libraries, and multimedia retrieval, with a focus on distributed systems, data streams, and service-oriented architectures. He studied at the University of Karlsruhe (KIT) and received his PhD from ETH Zurich in 2001. From 2003-2006, he served as an associate professor at UMIT, Austria. Education: University of Karlsruhe (Computer Science), ETH Zurich (PhD, 2001) Research Interests: His work integrates databases, cloud computing, and multimedia retrieval, emphasizing scalable systems for lifelog data, sports analysis, and VR/AR environments. Projects include vitrivr, Polypheny-DB, and StreamTeam. Recent Publications: Trends focus on VR/AR multimedia retrieval, cross-modal analysis, and polystore systems. Key contributions include open-source frameworks for video/image retrieval and immersive analytics. Advising: Supervised over 50 theses in areas like mixed reality, polystore optimization, and gesture-based interfaces.

• Electoral Politics
• Political Institutions
• Social Media and Politics
• +2 more

Taishi Muraoka serves as an Assistant Research Fellow at Academia Sinica's Institute of Political Science in Taipei, Taiwan, a position he has held since 2022. His academic journey includes postdoctoral fellowships at Harvard University's Program on US-Japan Relations and Washington University's Weidenbaum Center, following his 2019 Ph.D. in Political Science from Washington University in St. Louis. His educational background encompasses a B.A. in Political Science from the University of North Carolina at Charlotte (2013) and a B.A. in Law from Chuo University, Japan (2011). His research expertise spans electoral politics, political institutions, and social media's role in political communication, with particular emphasis on cross-national comparative analysis. Muraoka's scholarly work reveals consistent focus on electoral system design and voter behavior, with recent publications examining polarization's emotional dimensions, multilingual party communication, and diaspora voting incentives. His methodological approach combines large-scale cross-national data analysis with quasi-experimental designs, frequently leveraging social media interactions as behavioral indicators. His scientific recognition includes the 2023 Richard E. Matland Best Paper Award from the Midwest Political Science Association and multiple travel grants from major associations like APSA and MPSA. His award portfolio reflects consistent early-career excellence in political methodology and comparative research. Current research initiatives include a 2025 Academia Sinica Grand Challenge grant on electoral system habit-formation and a Weidenbaum Center-funded project on radical-right party responses to extremism. His collaborative network spans institutions in Europe, Asia, and North America, with frequent co-authorship patterns indicating strong interdisciplinary partnerships.

Gaël KermarrecView profile

Researcher

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +3 more

Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections

Mauro WerderView profile

Lecturer

• Glaciology
• Hydrology
• Numerical Modeling
• +7 more

Dr. Mauro Werder is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. His work focuses on glaciology, subglacial hydrology, and numerical modeling, combining computational methods with field measurements. He has developed widely used models such as GlaDS (Glacier Drainage System) and BITE (Bayesian Ice Thickness Estimation), and contributed to projects like SHMIP and 4D-Antarctica. Current Projects: Gladder (2025-2028), DIWING (2023-2026), LEAD (2020-2026), 4D-Antarctica (2019-2022), CORDS (2023-2024) Education: PhD in Glaciology (2009, Swiss National Science Foundation funded) His research spans subglacial drainage systems, sediment transport (SUGSET model), Bayesian inversion techniques, and field experiments involving artificial lakes and R-channels. He actively teaches courses on GPU-based PDE solving, applied glaciology, and reproducible scientific computing. Scientific Awards: Swiss National Science Foundation (SNF) Fellowship for Prospective Researchers (2010-2011) European Union (FP7) Marie Curie International Outgoing Fellowship (2011-2014) He collaborates with institutions like the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), and contributes to software development through packages like BITEmodel.jl and Parameters.jl. His fieldwork includes experiments on Greenland's Jakobshavn Isbræ and Switzerland's Plaine Morte glacier.

Miguel Rico-RamirezView profile

Associate Professor

• Radar Hydrology
• Hydroinformatics
• Flood Forecasting
• +3 more

Dr. Miguel Rico-Ramirez serves as Associate Professor of Radar Hydrology and Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering. His research integrates advanced radar technology with hydrological modeling to address critical water resource challenges including flood forecasting, drought management, and precipitation measurement across diverse global contexts from South Korea to Mexico City. Education: Bachelor of Engineering (Eng.) Master of Engineering (M.Eng.) Ph.D. in Engineering, University of Bristol His research program focuses on radar-based precipitation estimation, hydroinformatics, and flood prediction systems. He pioneers deep learning applications for rainfall nowcasting and develops innovative methods for uncertainty quantification in hydrological modeling. Current work emphasizes cosmic-ray neutron sensor validation, satellite-based flood mapping, and seasonal forecast applications for reservoir operations, with strong emphasis on translating research into operational water management solutions. Recent publications (2023-2025) reveal three dominant research thrusts: (1) deep learning frameworks for spatiotemporal rainfall prediction, (2) global validation of precipitation and soil moisture datasets using novel sensor networks, and (3) operational implementation of seasonal forecasts for drought mitigation in South Korea. His work consistently bridges radar meteorology with practical hydrological applications across urban and data-scarce environments. Scientific Awards: No specific awards documented in source materials Dr. Rico-Ramirez supervises postgraduate researchers in radar hydrology and hydroinformatics, with projects spanning flood early warning systems, precipitation nowcasting, and climate adaptation strategies. His research receives funding for international collaborations focused on water security challenges, particularly in drought-prone regions and data-scarce basins like the Nile Delta. Current grants support development of integrated forecasting systems combining global datasets with machine learning for extreme event management. He leads the Radar Hydrology research group within Bristol's Water and Environmental Engineering division, collaborating closely with Professor Dawei Han on hydroinformatics and Dr. Rafael Rosolem on water-climate interactions. The team maintains active partnerships with meteorological agencies and water authorities globally, particularly in flood forecasting system implementation across South Korea and Mexico.