جست‌وجوی استاد و پژوهشگر

• Differential Geometry
• Complex Geometry
• Magnetic Flows
• +۲ مورد دیگر

Toshiaki Adachi serves as Professor in the Department of Computer Science at Nagoya University's Graduate School of Engineering, with research centered on differential geometry and dynamical systems on complex manifolds. His work bridges theoretical mathematics with geometric structures relevant to computer science applications. Education: Doctor of Science, Nagoya University (1987) Master of Science, Nagoya University (1981) Research Focus: Adachi specializes in trajectories, magnetic flows, and circular motions within complex geometries including projective and hyperbolic spaces. His investigations span characteristic magnetic focal values on Kaehler manifolds, extrinsic circular trajectories on real hypersurfaces, and structural properties of Kaehler graphs. This research reveals fundamental connections between geometric configurations and dynamical behaviors in high-dimensional spaces. Publication Trends: Recent works (2022-2024) demonstrate consistent advancement in geometric trajectory analysis, with emphasis on type (A) real hypersurfaces in complex space forms. His publications increasingly integrate tensor/Cartesian product structures in graph theory with classical differential geometry, showing evolving methodological sophistication while maintaining core focus on magnetic flow dynamics. Awards: No specific scientific awards are documented in the provided materials. Professional Activities: Adachi actively contributes to academic discourse through international conference presentations across Europe and Asia, and serves in leadership capacity within the Mathematical Society of Japan. His editorial work on World Scientific publications since 2011 has significantly shaped contemporary differential geometry literature. Research Infrastructure: While no dedicated laboratory is specified, Adachi leads the Center for Research and Development in Higher Engineering-Education, directing institutional initiatives in engineering pedagogy and curriculum development.

• Life Cycle Assessment
• Sustainable Construction
• Circular Economy
• +۴ مورد دیگر

Ben Amor is a Full Professor in the Department of Civil Engineering at the Faculty of Engineering, Université de Sherbrooke, where he serves as Director and Founder of the CIRMIB (Integrated Research Center on Sustainable Materials, Infrastructure and Buildings) and Director of Sustainable Development for the Faculty of Engineering. Previously, he held associate professor positions at Université Laval and Université de Sherbrooke. His research focuses on Life Cycle Assessment (LCA) methodologies applied to sustainable construction, circular economy implementation in building sectors, and building decarbonization strategies. He has pioneered regionalized LCA approaches for Arctic regions and developed frameworks for carbon budgeting in building sectors. His work bridges environmental science with practical engineering solutions for sustainable infrastructure. His recent publications reveal strong trends in building decarbonization pathways, material circularity in construction, and the integration of biogenic carbon accounting. He emphasizes both technological solutions and behavioral change strategies for achieving net-zero emissions in the built environment. ACLCA 2018 Life Cycle Assessment Leadership Award Life Cycle Academy Awards 2019 (two awards) Quebec Public Administration Excellence Prize 2023 for Scientific Collaboration Multiple university teaching awards including the Jacques-Bazinet Merit Award Professor Amor leads significant research grants totaling over $20 million, including NSERC Alliance grants for sustainable building materials and a $2 million Research Chair on Net Zero Strategies and Life Cycle Assessment. He directs the CIRMIB research center and the LIRIDE (Interdisciplinary Research Laboratory in Sustainable Engineering and Eco-design), supervising multiple doctoral candidates. His work includes developing LCA tools for Quebec's construction industry and advising government bodies on sustainable procurement policies.

Kamal H. Khayatمشاهده پروفایل

استاد

• High-Performance Concrete
• Ultra-High-Performance Concrete (UHPC)
• Self-Consolidating Concrete (SCC)
• +۶ مورد دیگر

Kamal H. Khayat serves as the Jones Professor of Civil Engineering at Missouri University of Science and Technology and directs the Center for Infrastructure Engineering Studies (CIES), focusing on advancing concrete technology for sustainable infrastructure development. His research spans high-performance concrete (HPC), ultra-high-performance concrete (UHPC), self-consolidating concrete (SCC), and concrete rheology, with specialized expertise in 3D printing applications, fiber reinforcement systems, and shrinkage mitigation techniques. He investigates innovative materials like superabsorbent polymers and alternative binders to enhance durability and sustainability in concrete infrastructure. Analysis of his recent publications reveals dominant trends in digital fabrication of concrete, particularly 3D printing optimization and rheological modeling for structural build-up. His work increasingly integrates machine learning for material property prediction while emphasizing eco-friendly formulations using recycled aggregates and carbon-mineralization techniques. As Director of CIES, Khayat leads multidisciplinary research initiatives in infrastructure materials engineering, overseeing projects related to concrete rehabilitation, sustainable construction methods, and advanced material characterization techniques for civil infrastructure systems.

Abdallah Chehadeمشاهده پروفایل

دانشیار

• Deep Learning
• Prognostics
• Reliability Analysis
• +۸ مورد دیگر

Dr. Abdallah Chehade is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn , where he leads the Informatics, Reliability, and Data Analytics (IRDA) lab . He holds a Ph.D. in Industrial Engineering from the University of Wisconsin-Madison (2017), with minors in Computer Sciences and Statistics, alongside an M.S. in Mechanical Engineering and a B.E. in Mechanical Engineering from the American University of Beirut. Research Interests span safe and robust deep learning solutions , explainable AI , data fusion for degradation modeling , and Bayesian statistical modeling . His work integrates AI/ML with prognostics and Internet of Things (IoT) to address challenges in reliability analytics and industrial data science . Publications highlight advancements in deep autoencoders , LSTM networks , and hybrid models for warranty forecasting , with applications in battery cells , sheet metal stamping , and rail transportation . His grants from Ford, Honda, and the U.S. Army focus on smart manufacturing , AI for sensor modeling , and digital twins . Lab Members include Ph.D. students working on topics like physics-based AI , computer vision , and deep learning for prognosis . He serves on the INFORMS Quality, Statistics, and Reliability (QSR) Council and maintains affiliations with IEEE , INFORMS , and IISE .

Uwe Hartmannمشاهده پروفایل

استاد

• Nanotechnology
• Nanostructure Research
• Scanning Probe Microscopy
• +۶ مورد دیگر

Prof. Dr. Uwe Hartmann is a faculty member and Chair Holder at Saarland University, affiliated with the Institute of Experimental Physics within the Faculty of Natural Sciences and Technology. His research group specializes in nanostructure research and nanotechnology, with a strong focus on instrumentation, nanofabrication, and quantum systems. He is based in Building C6.3, Saarbrücken, Germany. His research interests lie at the intersection of physics and engineering, particularly in nanotechnology , scanning probe microscopy , quantum device characterization , and nanofabrication . His work spans fundamental investigations of nanostructures to applied developments in microsystem technology and industrial nanomanufacturing. He has contributed significantly to cleanroom technologies, surface physics, and the transition from micro- to nanoscale systems. The recent publications highlight a strong thematic focus on enabling technologies for nanoscale science, including instrumentation (e.g., atomic force microscopy), fabrication methods, and analysis of quantum and metallic nanostructures. The research demonstrates a consistent trajectory toward understanding and manipulating matter at the nanoscale for both scientific and industrial applications. Scientific Awards: No awards explicitly mentioned in the provided text. Prof. Hartmann actively supervises doctoral and diploma students, indicating a strong commitment to academic mentoring. His group includes PhD students and scientific staff, suggesting ongoing research projects and potential grant funding, although specific grants are not listed. He has led a long-standing research group with technical staff supporting experimental work, indicating a well-established laboratory infrastructure focused on experimental physics and nanotechnology development. Laboratory and Team: The working group includes scientific staff (e.g., Dr. Haibin Gao), PhD and diploma students, and technical staff (electronics engineers, mechanics, workshop heads), forming a multidisciplinary team capable of both theoretical and hands-on experimental research in nanotechnology. The presence of a dedicated workshop and technical personnel underscores the practical, device-oriented nature of the research.

Nicholas Brakeمشاهده پروفایل

دانشیار

• Civil Engineering
• Materials Science
• Recycled Concrete Aggregate (RCA)
• +۷ مورد دیگر

Dr. Nicholas Brake is an Associate Professor at Lamar University's Department of Civil and Environmental Engineering, focusing on reclaimed materials, wireless power transfer applications in concrete, and fatigue fracture modeling for pavements. His research spans recycled concrete aggregate, coal ash utilization, and electromagnetic cementitious composites. Education: Ph.D., M.S., B.S. in Civil Engineering from Michigan State University Awards: Anita Riddle Fellowship (2018), Lamar Merit Award (2018), Presidential Faculty Fellowship (2015), and multiple scholarships during his studies. His research emphasizes three key areas: 1) Material reclamation using recycled concrete aggregate, coal combustion residuals, and EAF slag. 2) Electromagnetic transport properties for wireless vehicle charging applications. 3) Fatigue damage modeling in concrete pavements. Through 3D printing integration and design-build-test pedagogy, he enhances student learning outcomes. Recent publications focus on international engineering education (2020), magnetic concrete composites (2019), and advanced testing methodologies for civil infrastructure (2018). His teaching innovation includes developing nine Lamar University courses with active learning strategies that improved student design confidence (p Scientific Awards: Anita Riddle Excellence in Teaching Fellowship (2018) Presidential Faculty Fellowship for Teaching Innovation (2015) Outstanding Teaching Assistant Award at Michigan State (2011) Dr. Brake mentors undergraduate and graduate researchers, including doctoral candidates Mahdi Feizbahr and Hossein Hariri Asli (2023-2024). His lab (LUMS) houses advanced testing systems like Instron 5965/8803, MTS Insight 100SL, and thermal analyzers for material characterization.

Francesca Rodinoمشاهده پروفایل

پژوهشگر ارشد

• Electrochemical Biosensors
• Therapeutic Drug Monitoring
• Precision Oncology
• +۴ مورد دیگر

Francesca Rodino is a Doctoral Assistant and Research Fellow at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Electrical and Microengineering Institute (IEM). She conducts research at the BCI Lab in Neuchâtel, focusing on electrochemical biosensors and precision oncology platforms. She is concurrently pursuing a PhD in Microsystems and Microelectronics (EDMI program) at EPFL. Education: B.Sc. in Biomedical Engineering, Politecnico di Torino (2019) M.Sc. in Biomedical Instrumentation, Politecnico di Torino (2022) Research Focus: Her work integrates electrochemical sensors, machine learning, and microsystems for therapeutic drug monitoring and biomedical diagnostics. Key areas include: (1) Multi-drug quantification using intelligent sensors for personalized cancer therapy, (2) Machine learning-driven optimization of electrochemical detection, (3) Microfluidic platforms for disease diagnosis (e.g., malaria), and (4) Wearable systems for neural prosthetics. Her research bridges biomedical engineering, electronics, and data science to advance precision medicine. Publication Trends: Recent articles (2022-2024) demonstrate strong emphasis on electrochemical sensors enhanced by machine learning for pharmaceutical monitoring, particularly in oncology. Secondary themes include microfluidic diagnostics, wearable medical devices, and environmental sensors. Over 85% of publications involve interdisciplinary collaborations, reflecting integration of engineering, computational methods, and clinical applications. Teaching & Leadership: Teaching Assistant for Bio-nano-chip design (EE-517) and MEMS practicals II (MICRO-503) EPFL team coach for international SensUs biotechnology competition

Janick Edingerمشاهده پروفایل

استاد

• Distributed Operating Systems
• Edge Computing
• Computation Offloading
• +۷ مورد دیگر

Prof. Dr. Janick Edinger is a Professor of Distributed Operating Systems at the Department of Informatics, Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Germany. He leads a research group focused on distributed, context-aware, and adaptive computing systems, with a strong emphasis on edge computing, computation offloading, and assistive technologies. Education: PhD in Computer Science, University of Mannheim Studies at National Taiwan University Studies at University of Alberta, Canada Research stays at University of British Columbia, Hong Kong Polytechnic University, and Georgia State University, USA His research explores how edge computing and computation offloading can enable efficient, privacy-preserving processing of sensor and video data close to their sources, particularly in dynamic environments. He investigates the integration of autonomous and heterogeneous systems—such as drone fleets and mobile devices—into scalable middleware platforms for real-time monitoring and decision-making in logistics and industrial operations. His work also emphasizes societal impact, contributing to accessible routing, adaptive interfaces, and crowd-sourced mapping. The recent publications reflect a strong trend in edge computing, federated learning, privacy-preserving analytics, and assistive technologies. Topics include WebAssembly-based offloading, emotion prediction via eye tracking, real-time traffic detection, and predictive maintenance in Industry 4.0, showcasing a blend of foundational systems research and applied human-centered computing. Scientific Awards: PerCom 2021 Mark Weiser Best Paper Award Best Paper Award at IEEE PerCom 2021 for 'Voltaire: Precise Energy-Aware Code Offloading Decisions with Machine Learning' Prof. Edinger actively advises students and leads research projects involving grants and collaborations. His team includes PhD candidates and researchers working on middleware, edge systems, and context-aware applications. He has served on conference program committees, such as shadow PC member for EuroSys 2021, and publishes in top venues including IPDPS, PerCom, CHIIR, and COMPSAC. Labs and Teams: He leads the Distributed Operating Systems research group at the University of Hamburg, where he mentors students and collaborates on projects involving edge computing, IoT, and adaptive systems.

Venkatesh Merwadeمشاهده پروفایل

استاد

• GIS applications in water resources engineering
• Surface water hydrology
• River hydraulics
• +۴ مورد دیگر

Venkatesh Merwade is a Professor in the Lyles School of Civil Engineering at Purdue University , where he has been since 2007. His research focuses on GIS applications in water resources engineering , surface water hydrology , river hydraulics , and cyberinfrastructure for hydrology , with regional interests in water management in developing countries . PhD in Civil Engineering (University of Texas at Austin, 2004) MSc in Engineering Hydrology (National University of Ireland, Galway, 2000) B.Engg. in Environmental Engineering (Shivaji University, India, 1997) His work includes floodplain mapping , hydrological modeling , and cyber-enabled hydrology education via tools like RWater and SWATShare . He has received awards such as the 2022 Purdue Individual Graduate Student Mentorship Award and 2018 Seed for Success for securing major research grants. Merwade collaborates with students and colleagues on flood prediction , soil moisture assimilation , and hydro-climatic impact analysis . His projects emphasize data-driven modeling , uncertainty quantification , and GIS integration for watershed management. He is affiliated with the Burke Hydraulics and Hydrology Lab and Purdue's Center for the Environment .

Seth Blumsackمشاهده پروفایل

استاد

• Electricity and Natural Gas Industries
• Energy Infrastructure Resilience
• Network Science
• +۴ مورد دیگر

Seth Blumsack is a Professor at the Pennsylvania State University in the Department of Energy and Mineral Engineering and serves as Director of the Center for Energy Law and Policy . He holds an Adjunct Research Professor position at the Carnegie Mellon Electricity Industry Center and is affiliated with the Santa Fe Institute as an External Faculty member. His research spans energy economics , power grid reliability , and complex infrastructure networks . Key projects include: Interdependent natural gas and electricity systems analysis Governance of regional transmission organizations Smart grid consumer behavior studies Power grid reliability tools development He has secured funding from the U.S. National Science Foundation , Department of Energy , Environmental Protection Agency , and private industry. His Best paper award at Hawai’i International Conference on System Sciences (2011) and John T. Ryan, Jr. Fellowship (2011-17) highlight his scientific recognition. Publications emphasize electricity market deregulation , energy infrastructure resilience , and consumer response to smart grid technologies . His work has been cited in major media outlets like The New York Times and The Los Angeles Times , and he has consulted for National Renewable Energy Laboratory , U.S. Department of Energy , and other industry stakeholders.

Ana Inés Torresمشاهده پروفایل

دانشیار

• Process Systems Engineering
• Sustainability
• Decarbonization
• +۵ مورد دیگر

Ana Inés Torres is an Associate Professor in the Department of Chemical Engineering at Carnegie Mellon University's College of Engineering. She leads an active research group focused on sustainable process systems engineering, with affiliations at the Center for Advanced Process Decision-Making and the Wilton E. Scott Institute for Energy Innovation. Her work bridges chemical engineering with sustainability challenges, particularly in decarbonization and circular economy applications. Dr. Torres earned her educational credentials from Universidad de la República Oriental del Uruguay and the University of Minnesota: Ph.D. in Chemical Engineering, University of Minnesota (2013) Diploma in Chemical Engineering, Universidad de la República Oriental del Uruguay (2005) B.S. in Chemistry, Universidad de la República Oriental del Uruguay (2003) Her research interests span process systems engineering with a sustainability focus, particularly in chemical industry decarbonization through electrification and biomass utilization, circular economy network analysis, and environmentally-friendly rare earth element recovery processes. She integrates modeling, analysis, and optimization to design clean and sustainable chemical processes, with growing emphasis on machine learning applications in process optimization. Analyzing her recent publications reveals a strong focus on decarbonization strategies for existing industrial infrastructure, particularly oil refineries, and circular economy network design. Her work demonstrates increasing integration of machine learning with traditional process systems engineering approaches to tackle complex sustainability challenges across multiple scales, from molecular recovery processes to entire supply chain networks. Dr. Torres has received several prestigious recognitions: NSF CAREER award (2024) Dean's Early Career Fellowships award (2025) Consultant for United Nations Industrial Development Organization (UNIDO) (2024) Associate editor of Clean Technologies and Environmental Policy She actively mentors a diverse group of graduate students working on cutting-edge sustainability challenges, with recent projects focusing on circular economy networks, rare earth element recovery, and bio-refinery design. Her research has attracted significant funding, including the NSF CAREER award, and she participates in multiple collaborative initiatives through CMU's energy research centers. Dr. Torres also serves as an invited speaker at major conferences including FOCAPD and FOCAPO/CPC. Dr. Torres leads the Torres Research Group at CMU, which maintains strong connections with industry partners and international organizations including UNIDO. The group operates within CMU's robust energy research ecosystem, collaborating with the Wilton E. Scott Institute for Energy Innovation and the Center for Advanced Process Decision-Making to address complex sustainability challenges through interdisciplinary approaches.

Morgan Edwardsمشاهده پروفایل

استادیار

• Human-centered energy systems
• Climate policy
• Equitable energy transitions
• +۳ مورد دیگر

Morgan Edwards is an Assistant Professor at the University of Wisconsin-Madison's La Follette School of Public Affairs, specializing in human-centered energy responses to the climate crisis. Her work bridges policy analysis, systems modeling, and equity considerations across global, national, and local scales. Education: PhD in Engineering Systems (MIT), SM in Technology and Policy (MIT), BS in Environmental Science and Economics (UNC Chapel Hill) Research focuses on: Equity implications of energy transitions Systems modeling for climate policy Natural gas leak detection and mitigation Coal power phaseout strategies Negative emissions technology assessment Her lab develops tools connecting global climate goals with local action, emphasizing partnerships with underserved communities. Recent publications analyze methane mitigation, corporate climate-tech investments, and equity challenges in electrification.

• Deep Learning
• Automatic Speech Recognition (ASR)
• Spoken Language Modeling
• +۳ مورد دیگر

Mikko Kurimo is a Full Professor at Aalto University's Department of Information and Communications Engineering, School of Electrical Engineering. He earned his M.Sc., Lic.Tech., and D.Sc.(Tech.) from Helsinki University of Technology (1992, 1994, 1997) and pioneered neural networks for automatic speech recognition (ASR) in his PhD thesis. After research roles at IDIAP (Swiss AI center) and visiting positions at University of Colorado, Edinburgh, SRI, ICSI, and Nitech, he leads Aalto's ASR group since 2000. His work focuses on unsupervised subword modeling for morphologically complex languages (Finnish, Estonian, Turkish, Arabic) and large speech foundation models. PhD in Neural ASR (Helsinki University of Technology, 1997) Research Scientist at IDIAP (Switzerland) Visiting Fellow at University of Colorado, Edinburgh, SRI, ICSI, Nitech Head of Aalto ASR Group (2000-present) His research spans deep learning for ASR, spoken language modeling , and low-resource language solutions . Recent work explores continued pre-training of self-supervised models, multimodal emotion recognition, and pronunciation assessment using LLMs. He led the winning team in the 2017 Multi-Genre Broadcast challenge and secured competitive funding in Tekes Challenge Finland and EC's H2020-ICT-2017. Key article trends include: Advancements in children's speech recognition and dysarthric speech processing Integration of generative AI for language learning feedback Specialization in low-resource Uralic languages (Finnish, Northern Sámi) Development of robust ASR systems for complex phonetic environments Scientific Awards ACM Multimedia 2023 Computational Paralinguistics Challenge Prize First place in MGB3 2017 Arabic ASR Challenge ISCA Best Student Paper Award (2011) Professeur Invité at Université de Saint-Etienne (2005-2006) Royal Society International Short Visit Fellowship (2004) Professor Kurimo leads the Speech Recognition Group at Aalto, collaborating with COIN (Centre of Excellence in Computational Inference) and AIRC (Adaptive Informatics Research Centre). His projects like CaptainA mobile app demonstrate practical applications of ASR in language education. He has supervised numerous publications with co-authors in domains spanning bandwidth extension, stuttering detection, and speech sound disorder assessment.

Jukka Mannerمشاهده پروفایل

استاد

• Networking
• Wireless and Mobile Networks
• Transport Protocols
• +۷ مورد دیگر

Jukka Manner is a Full Professor (tenured) of Networking Technology at Aalto University's Department of Communications and Networking (Comnet), School of Electrical Engineering. With a career spanning over two decades in internet technologies, he leads research in networking, wireless systems, and energy-efficient ICT solutions. Dr. Manner received his MSc (1999) and PhD (2004) degrees in computer science from the University of Helsinki. His academic journey has been marked by significant contributions to internet standardization through the IETF since 1999, where he served as co-chair of the NSIS working group. Professor Manner's research focuses on networking, software and distributed systems, with particular emphasis on wireless and mobile networks, transport protocols, energy efficient ICT and cyber security. His work bridges theoretical advancements with practical applications, addressing critical challenges in modern communication systems, sustainable networking practices, and security frameworks. His research group has made significant contributions to 5G technologies, UAV communications, and energy-efficient network design. His extensive publication record shows a clear evolution toward sustainability in networking technologies, with recent work focusing on energy efficiency in 5G systems, sustainable web technologies, and the environmental impact of digital infrastructure. The research demonstrates strong interdisciplinary connections between telecommunications engineering, computer science, and environmental science, with particular emphasis on reducing the carbon footprint of digital systems while maintaining performance. Cross of Merit, Signals (2014) Medal for Military Merits for contributions in national defence and C4 (2015) Professor Manner has supervised over 200 MSc theses and more than 20 doctoral dissertations, establishing himself as a dedicated mentor in the field. He has been principal investigator and project manager for over 15 national and international research projects, including serving as Academic Coordinator for the Finnish Future Internet research programme (2008-2012). His leadership extends to conference organization, having served as local co-chair of Sigcomm 2012 in Helsinki, and active participation as a peer reviewer and member of various Technical Program Committees. As an active contributor to internet standardization through the IETF, Professor Manner's work has practical impact on global networking technologies. His research group maintains strong connections with industry partners and participates in shaping future networking standards and practices, particularly in the areas of sustainable networking, 5G evolution, and security frameworks for emerging technologies.

• Urban Horticulture
• Ecosystem Services
• Urban Forestry
• +۶ مورد دیگر

Professor Jill Edmondson serves as a Professor of Ecosystem Sustainability and NERC Knowledge Exchange Fellow at the School of Biosciences, University of Sheffield, where she has been a Senior Lecturer since 2021. Her research focuses on enhancing ecosystem sustainability and resilience in urban and agricultural contexts through interdisciplinary approaches bridging soil science, plant ecology, and social dimensions. Her core research pillars include: Urban Horticulture , where she leads the national MYHarvest citizen science project quantifying home-grown food production while assessing ecosystem co-benefits and soil pollutant risks; Soil Carbon Dynamics , specializing in black carbon's role in urban soil carbon sequestration; and Urban Forest Ecology , investigating how pollution and infrastructure encasement impact tree health and ecosystem services like heat mitigation. Her work consistently integrates field studies with policy-relevant applications for city planning. Analysis of her 2020-2025 publications reveals intensifying focus on climate adaptation, with dominant themes including urban food security quantification, soil contaminant bioavailability, green infrastructure performance, and urban tree resilience. Methodologically, she pioneers citizen science integration and interdisciplinary field measurements, yielding actionable insights for urban sustainability policy. Her major recognitions include: NERC Knowledge Exchange Fellow (2022-present) EPSRC Living with Environmental Change Fellow (2016-2021) Professor Edmondson supervises undergraduate literature reviews and research projects across multiple programs (MBiolSci, MEnvSci, MSc, MRes), mentoring the next generation of sustainability scientists. Her grant portfolio features competitive fellowships supporting urban ecosystem research with direct policy applications through partnerships with local governments and environmental NGOs. She directs the MYHarvest citizen science initiative and collaborates extensively with the University of Sheffield's Institute for Sustainable Food, leading a multidisciplinary team spanning soil science, ecology, and engineering to develop evidence-based strategies for resilient urban ecosystems.