جست‌وجوی استاد و پژوهشگر

Sara Bernardiniمشاهده پروفایل

استاد

• Artificial Intelligence
• Automated Planning
• Robotics
• +۴ مورد دیگر

Professor Sara Bernardini is a leading academic in Artificial Intelligence at the University of Oxford's Department of Computer Science, where she holds a joint appointment as a Tutorial Fellow at Mansfield College. Her research specializes in decision-making for autonomous systems, automated planning, and robotics, with applications in extreme environments like space missions, nuclear decommissioning, and offshore energy. She bridges theoretical AI with real-world challenges through projects funded by Innovate UK, EPSRC, NERC, and the Alan Turing Institute. Her research interests span: Autonomous Systems : Developing agents that support humans in complex cognitive tasks. Automated Planning : Algorithms for goal recognition, pathfinding, and multi-agent coordination. Robotics : Solutions for subterranean exploration, offshore wind farms, and UAV operations. AI Safety : Risk-aware autonomous systems and interpretable decision-making. Bernardini's publications emphasize algorithmic robustness in path planning, multi-agent coordination , and real-world AI deployments . Recent work explores goal legibility in uncertain environments, energy-efficient robotics, and AI education tools. Her 65+ papers in top venues (e.g., AIJ, JAIR, ICAPS) show a trend toward safety-critical applications and human-AI collaboration. Awards & Leadership: ICAPS-2020 Best Paper Honorable Mention Executive Council Member, Association for the Advancement of Artificial Intelligence (AAAI) Program Chair, International Conference on Automated Planning and Scheduling (ICAPS 2024) Associate Editor, Artificial Intelligence Journal She leads interdisciplinary teams for projects like autonomous offshore wind farm maintenance and modular robots for extreme environments. As Principal Scientist at the UK National Oceanography Centre, she advanced marine robotics. She mentors PhD candidates and collaborates globally (e.g., NASA Ames, MIT).

Frank Meiselمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Operations Research
• +۴ مورد دیگر

Prof. Dr. Frank Meisel holds the Chair for Supply Chain Management at the Christian-Albrechts-University of Kiel, within the Faculty of Law, Economics and Business. His research focuses on mathematical modeling and quantitative solution methods for the design and operation of production, distribution, and service networks. 1998-2003: Studied Traffic Engineering at the Technical University of Dresden 2008: Received Dr. rer. pol. with thesis "Seaside Operations Planning in Container Terminals" 2014: Completed Habilitation in Business Economics with thesis "Papers on the Design and Operations of Production-, Distribution- and Service-Networks" Since 2013: Professor of Supply Chain Management at Kiel University Prof. Meisel's research spans multiple areas of logistics and operations research. His primary interests include maritime logistics, particularly container terminal operations; vehicle routing problems with synchronization requirements; and integrated planning of production-distribution networks. He develops mathematical models and optimization algorithms to address complex logistical challenges in various industry contexts, from seaport operations to healthcare logistics and urban waste management. His work bridges theoretical operations research with practical logistics applications across diverse sectors. His publication record demonstrates a progression from specialized maritime logistics problems to broader supply chain applications. Recent work shows increasing focus on sustainability considerations and the integration of multiple operational decisions across different parts of supply networks. His research has significant practical implications for container terminal operations, intermodal transportation, and service logistics. Prof. Meisel actively contributes to the academic community through conference presentations at major events including EURO, IFORS, and specialized workshops on maritime logistics. His work appears in top-tier journals such as Transportation Science, European Journal of Operational Research, and Computers & Operations Research. He teaches courses including Supply Chain Management, Production and Logistics, and Operations Management at both undergraduate and graduate levels. His educational contributions include developing curriculum for English-language business programs and supervising student research projects in logistics optimization.

Ross Koppelمشاهده پروفایل

استاد مدعو

• Healthcare Information Technology
• Medication Errors
• Technology in Society
• +۲ مورد دیگر

Ross Koppel is an Adjunct Professor of Sociology with expertise in healthcare information technology, medication errors, and ethics in social research. His work explores the intersection of technology and societal impacts, focusing on data governance, clinical workflows, and human factors in health IT systems. Research Interests Context-sensitive understanding of medication errors Societal implications of clinical data sharing Ethical challenges in AI and informatics Healthcare cost analysis Scientific Awards Fellow of the American College of Medical Informatics (FACMI)

• Secure Computing
• Hardware/Software Co-Design
• Machine Learning
• +۶ مورد دیگر

Farinaz Koushanfar is a Professor in the Department of Electrical and Computer Engineering at the Jacobs School of Engineering, University of California San Diego (UCSD) . She holds the Siavouche Nemat-Nasser Endowed Chair and serves as Founding Co-Director of the Center for Machine-Intelligence, Computing and Security . Her affiliations include NSF Trust-Hub (Co-PI) and NSF TILOS AI Institute . She also serves on the Editorial Board of The Proceedings of the IEEE . Research Focus: Prof. Koushanfar leads research in secure and efficient computing , including robust/safe AI , hardware/system security , AI-based optimization , and cryptographically secure privacy-preserving computing . Her work pioneered logic obfuscation/locking for chip security, automated co-design of AI systems , watermarking/tracing of deep learning models , and physical proofs of provenance . She explores co-design with cryptographic constructs for privacy preservation and manages nonlinearities in ciphertext domains. Article Trends: Recent publications show expertise in neural watermarking (deepfakes, media authentication), zero-knowledge proof frameworks , Trojan attack defenses in ML models, secure federated learning , and hardware acceleration of cryptographic protocols . Her work combines machine learning , cryptography , and physical design security across 2022-2025 publications. Scientific Awards: Fellow of ACM Fellow of IEEE Fellow of National Academy of Inventors (NAI) Fellow of Kavli Foundation of NAS Inducted to NAI 2024 Fellows Advising & Leadership: She has advised multiple PhD students who became faculty at top universities (e.g., Stanford, Purdue). She chairs conferences like ACM WiSec 2024 and co-led the NSF SaTC decadal review. Her lab ( ACES Lab ) produces award-winning graduates like Bita Rouhani (DAC Under-40 Innovators) and Shehzeen Hussain (UCSD Best Dissertation Award).

• Cloud Computing
• Data Center Optimization
• Resource Allocation
• +۴ مورد دیگر

Bhuvan Urgaonkar is a Professor in the Department of Computer Science and Engineering at Penn State University's College of Engineering. His research centers on optimizing cloud computing systems through innovative approaches to resource allocation, cost efficiency, and energy management. Current research focuses on Burstable Instance Scaling Serverless Computing Optimization Distributed Storage Systems Multi-resource Fair Allocation Cloud Economics Recent publications highlight advancements in autoscaling techniques, serverless architecture design, and trace modeling for high-load scenarios. These works emphasize practical solutions for cost-effective resource utilization in public cloud environments. Scientific Awards: CNS: Core: Small: Consistent, Geo-Distributed Data Stores on the Public Cloud (NSF, 2022-2025) CNS Core: Small: Principled Methodologies for Automated Cost-Effective Service Blending (NSF, 2021-2024) PPoSS: Cross-Layer Design for HPC in the Cloud (NSF, 2020-2022) CSR: Burstable Instances for Cost-Efficacy (NSF, 2017-2020) CSR: Student Travel Support for SIGMETRICS (NSF, 2016-2017)

Miguel Rico-Ramirezمشاهده پروفایل

دانشیار

• Radar Hydrology
• Hydroinformatics
• Flood Forecasting
• +۳ مورد دیگر

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.

• Health Economics
• Global Health
• Implementation Science
• +۷ مورد دیگر

Drew Cameron is an Assistant Professor of Public Health (Health Policy) at the Yale School of Public Health, affiliated with the Department of Health Policy and Management and the Center for Methods in Implementation and Prevention Science (CMIPS). His research focuses on health economics, evaluating health and development programs in resource-poor and low- to middle-income country contexts. Education: PhD in Health Policy, University of California, Berkeley MA in International Development, American University School of International Service BA in International Political Economy, University of Puget Sound His work examines targeted subsidies, behavioral 'nudges,' and cost-effectiveness methods addressing healthcare access constraints. Key areas include child growth, water sanitation, HIV/AIDS, carceral health, and rural development. Recent publications highlight implementation strategies for HIV-hypertension integration, pandemic preparedness, and cost analysis frameworks. Notable Research Trends: 2025-2024: U.S. HIV workforce strengthening, Ugandan HIV-hypertension costs, and Alaska vaccine behavior analyses 2023-2019: Water delivery experiments in India, VMMC cost modeling, TB treatment economics, and HIV intervention cost repositories 2018-2014: Urban land titling impacts, healthcare quality policy in Brazil, and structural violence in pharmaceutical triage

Vlad Mykhnenkoمشاهده پروفایل

استاد

• geographical political economy
• urban and regional development
• shrinking cities
• +۱۳ مورد دیگر

Professor Vlad Mykhnenko is Professor of Geography and Political Economy in the University of Oxford Department for Continuing Education, and a Research Fellow in Sustainable Urban Development at St. Peter's College, Oxford. He serves as Academic Director for Social Sciences at Oxford Lifelong Learning and has been with the Department since January 2017, initially taking up an Associate Professorship in Sustainable Urban Development. His academic career spans multiple institutions including the University of Birmingham, Al-Farabi Kazakh National University, the University of Nottingham, the University of Glasgow, and the Central European University. Professor Mykhnenko's educational background includes: PhD in Political Economy from Darwin College, the University of Cambridge (2005) MA in International Relations and European Studies from the Central European University (1999) MA (1998) and BA (1996) in International Relations from Taras Shevchenko National University of Kyiv As an economic geographer specializing in geographical political economy, Professor Mykhnenko challenges conventional wisdom about urban and regional development. His research initially focused on transition economies of Eastern Europe (particularly Polish Upper Silesia and the Ukrainian Donbas) before expanding to cities and regions worldwide. He has produced over 140 research outputs and secured £16 million in external research funding, with £2 million as Principal Investigator. His current research initiatives focus on green steel - rebuilding Ukraine's iron and steel sector post-war without fossil fuels - and sustainable urban development in Kazakhstan. His publication record demonstrates significant scholarly impact across diverse areas including urban shrinkage, post-war reconstruction, geopolitical analysis, and future trends in technology and governance. The breadth of his research interests spans from analyzing spatial economic patterns in African cities to examining the implications of the metaverse for future business practices. Professor Mykhnenko has substantial policy impact, with research quoted in at least 79 policy documents by 49 organizations across 21 countries. His work contributes to UN Sustainable Development Goals, with 30% directly attributed to SDG11: Sustainable Cities and Communities. He has advised governments, intergovernmental organizations, and multinational enterprises, including serving on a UN expert group to shape the New Urban Agenda and providing expert evidence to the UK House of Commons on Ukraine's recovery. In early 2025, he was appointed a commissioner for the Lancet Commission on Ukraine. Professor Mykhnenko has taught over 3,100 students across various institutions and currently contributes to Oxford's MSc in Sustainable Urban Development program. He has supervised numerous doctoral students and received recognition for his teaching excellence, including Fellow of the Higher Education Academy status and a Postgraduate Certificate in Academic Practice. His commitment to research-led teaching has resulted in innovative pedagogical approaches documented in peer-reviewed academic publications.

• Game Theory
• Algorithmic Game Theory
• Congestion Games
• +۹ مورد دیگر

Alexander Skopalik is an Assistant Professor in the Mathematics of Operations Research department, specializing in Game Theory, Congestion Games, and Algorithmic Game Theory. His work explores Strategic Resource Allocation, Equilibrium Analysis, and Network Games, with significant contributions to multi-agent systems and facility location optimization. Key research areas: Congestion Games Facility Location Nash Equilibrium Strategic Resource Allocation Algorithmic Game Theory His recent publications focus on equilibrium dynamics in facility location, battery charging games, and strategic resource allocation, emphasizing the interplay between theoretical guarantees and practical applications in AI and mobility systems. He actively participates as a committee member in leading conferences such as IJCAI and AAMAS.

Clinton Fookesمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Human Behavior Analysis
• +۷ مورد دیگر

Professor Clinton Fookes is a faculty member at the Queensland University of Technology (QUT) within the School of Electrical Engineering & Robotics . His research focuses on leveraging computer vision and artificial intelligence to develop automated systems that understand, anticipate, and interact with human behaviors, with applications in medical diagnostics, autonomous vehicles, defense, and industrial efficiency . Research areas include AI adaptability, multimodal biosignal analysis, and human-machine interaction Collaborates with CSIRO Data61, Defence Science and Technology Group, Orica, Airbus, and Sentient Vision Systems Develops systems for human action detection, infrastructure monitoring, and stress response prediction His work addresses critical challenges in AI deployment, such as environmental adaptability and reducing diagnostic errors in medical and autonomous systems. Recent publications highlight trends in self-supervised learning, zero-shot knowledge transfer, multimodal integration , and 3D reconstruction for healthcare , while exploring ethical AI use in sectors like mining and defense . Professor Fookes emphasizes interdisciplinary collaboration, bridging engineering, medicine, and social sciences to advance AI systems capable of real-world impact. His research agenda includes improving AI memory capabilities and explainability for safer, more reliable automation.

• CAD tools
• Digital architectures
• Emerging technologies
• +۹ مورد دیگر

Giovanna Turvani is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, with affiliations in both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Scientific Branch: IINF-01/A - Electronics ERC Sectors: PE7_4, PE7_11, PE6_1, PE6_14, PE7_3 SDG Goals: Quality Education, Gender Equality, Affordable Energy, Industry Innovation Her research focuses on advanced electronics and quantum technologies, including: Logic-in-memory computing Quantum computing architectures Microwave imaging for medical and agricultural applications CAD tools for emerging nanotechnologies Embedded systems for bee health monitoring IoT solutions for bio-waste valorization Publications show strong expertise in quantum computing, nanocomputing, and microwave imaging, with recent trends emphasizing quantum optimization frameworks, in-memory architectures, and IoT-based agricultural technologies. She supervises PhD students in areas like quantum machine learning algorithms, predictive on-board systems, and quantum hardware design. Collaborations span multiple disciplines, including medical device development and agricultural electronics. Patents include innovations in microwave imaging, racetrack memory logic functions, and in-memory computing devices.

• Public Economics
• Social Choice
• Labour Economics

Professor Laurence Jacquet is a distinguished economist at University of Cergy-Pontoise, where he leads research at THEMA (Théorie Economique, Modélisation et Applications). He maintains a prominent international profile as a Distinguished CESifo Affiliate and CESifo Research Network Fellow, contributing to Munich-based research initiatives in public economics. His research program centers on optimal taxation theory with specialized focus on multidimensional heterogeneity, labor market responses, and production regulation. Professor Jacquet investigates how tax systems interact with behavioral elasticities across income types, addressing fundamental questions about redistribution efficiency and policy design in contexts of rising inequality and demographic change. His methodological approach combines advanced mechanism design with practical fiscal policy applications. Analysis of his 12 CESifo Working Papers (2010-2025) reveals evolving research trajectories: early work established foundations in optimal income taxation with heterogeneous agents, while recent publications increasingly incorporate production-side considerations and regulatory frameworks. The consistent thread across his publication history is rigorous theoretical modeling of tax systems that account for both extensive and intensive margin responses in labor and capital markets. Professor Jacquet actively supervises graduate researchers through THEMA, a CNRS-affiliated research center fostering interdisciplinary economic modeling. His CESifo affiliation provides students with exceptional access to European policy networks and collaborative opportunities with leading public finance scholars across the continent. Current research priorities include analyzing tax reforms in contexts of international competition and designing transfer programs with optimal monitoring mechanisms. As director of THEMA research activities in public economics, Professor Jacquet oversees projects examining the trade-offs between equity and efficiency in modern tax systems. The center's work particularly addresses challenges posed by intangible capital, cross-border migration, and aging populations through sophisticated theoretical frameworks that inform real-world policy design.

Assela Pathiranaمشاهده پروفایل

استاد

• Water Infrastructure Asset Management
• Climate Resilience of Small Island Developing States (SIDS)
• Hydrological Modeling
• +۵ مورد دیگر

Dr. Assela Pathirana is a Professor at the IHE Delft Institute for Water Education, specializing in water infrastructure asset management (WIAM), climate resilience of Small Island Developing States (SIDS), and sustainable urban water systems. His work bridges academia, policy, and practice, focusing on digitalization, data-driven decision-making, and nature-based solutions. Key roles include Chief Technical Advisor for the Maldives’ water systems and leadership of a MOOC on SIDS climate adaptation. He holds a BSc (First Class Honours) from the University of Peradeniya and advanced degrees from the University of Tokyo, specializing in hydrology and water resources engineering. Education: Bachelor of Science in Civil Engineering (First Class Honours), University of Peradeniya, Sri Lanka Master’s and Doctoral Degrees in Civil Engineering (Hydrology and Water Resources), University of Tokyo, Japan Research Interests: Dr. Pathirana’s work emphasizes climate resilience, SIDS adaptation, urban flood risk management, and sustainable infrastructure. He develops decision-support tools for flood forecasting, evaluates land-use changes in Jakarta, and promotes equity in water rationing systems. His interdisciplinary approach integrates hydrological modeling, open-source software development, and policy analysis. Advising & Capacity Building: He leads training-of-trainers programs and capacity-building initiatives, enhancing postgraduate education in technical disciplines. His efforts focus on didactics and pedagogy, ensuring graduates gain both theoretical knowledge and practical expertise. Key Projects: Developed the WIAM curriculum at IHE Delft MOOC on SIDS climate adaptation and water security Consultancy for the Maldives’ Ministry of Environment and UNDP Labs & Collaborations: Engages in cross-disciplinary teams addressing urban water challenges, including sponge cities in China and flexible adaptation planning in Melbourne and Pune. His work with UNESCO-ICHARM and UNU underscores global water security and disaster risk reduction.

Lawrence M. Weinمشاهده پروفایل

استاد

• Operations Management
• Public Health
• Homeland Security
• +۵ مورد دیگر

Lawrence M. Wein is the Jeffrey S. Skoll Professor of Management Science at Stanford University's Graduate School of Business, where he also serves as Senior Associate Dean of Academic Affairs. He holds a PhD in Operations Research from Stanford (1988) and has taught operations management at MIT (1988–2002) and Stanford since 2003. His research spans operations management, public health, and homeland security, with notable contributions to HIV therapy optimization, bioterror response logistics, and forensic science innovations. His academic roles include Senior Fellow at Stanford’s Center for International Security and Cooperation, and editorial leadership as Editor-in-Chief of Operations Research (2000–2005). Notable awards include the Kimball Medal, Lanchester Prize, and membership in the National Academy of Engineering. Research interests emphasize applying operations research to real-world challenges, such as optimizing radiation detection systems, analyzing sexual assault kit backlogs, and improving ballistic imaging techniques. His work bridges theoretical models with practical policy, impacting areas like healthcare, counterterrorism, and criminal justice. Key contributions include developing the workload regulating release policy in semiconductor manufacturing, influencing U.S. smallpox vaccination strategy, and advancing mathematical models for cancer treatment and pandemic influenza control. His recent focus includes forensic genetic genealogy and crime-solving technologies. Grants and collaborations span industries, governments, and academic institutions, reflecting interdisciplinary impact. His teaching includes courses on operations management, stochastic networks, and homeland security applications.

Olatunji Johnsonمشاهده پروفایل

مدرس

• Spatial Statistics
• Epidemiology
• Public Health
• +۵ مورد دیگر

Dr Olatunji Johnson is a Lecturer in Statistics at The University of Manchester's Department of Mathematics. His research focuses on spatial and spatio-temporal statistics applied to global public health challenges, including tropical diseases like malaria and neglected tropical diseases (NTDs). He holds a PhD in Statistics and Epidemiology and has developed influential geostatistical methods and R packages (SDALGCP and MBGapp) for disease mapping and surveillance. Education: PhD in Statistics and Epidemiology (supervised by Prof. Peter Diggle). Research interests include model-based geostatistics, real-time health surveillance, and hybrid machine learning approaches for spatial data analysis. He is actively seeking PhD students interested in spatial statistics applications. Key Collaborations: Worked on projects in Kenya, Cameroon, Uganda, and Ethiopia, focusing on helminth control, air pollution impacts, and disease burden analyses. Part of the Statistical Advisory Unit and contributes to the UN Sustainable Development Goals through his work on health equity and disease elimination. Notable Projects: Developed methodologies for efficient survey design in NTD programs, air quality studies in African cities, and spatiotemporal modelling of pandemic risks. His work bridges statistical innovation with actionable public health policy.