جست‌وجوی استاد و پژوهشگر

Daniel Krutzمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Software Engineering Education
• +۵ مورد دیگر

Daniel Krutz is an Associate Professor in the Department of Software Engineering at Rochester Institute of Technology (RIT) , with a secondary appointment as Courtesy Associate Professor at the University of Florida's Department of Computer & Information Science & Engineering. He directs the AWARE Lab , focusing on Autonomous Systems, Warfare Applications, and Software Engineering , supported by $6M+ in federal grants from NSF, NSA, DOD, and AFRL. His research spans AI/ML, Self-Adaptive Systems, Decision Support Systems, and Accessibility in Computing Education . He holds a PhD from Nova Southeastern University and has taught courses including Software Engineering Freshman Seminar and Capstone Research Project . He is an NSF CAREER Award recipient (2022) and former AFRL Fellow (2018). Educations: BS, St. John Fisher College MS, Rochester Institute of Technology PhD, Nova Southeastern University Labs: AWARE Lab (Autonomy, Warfare, and Engineering) Awards: NSF CAREER Award (2022) AFRL Research Faculty Fellowship (2018) Teaching: Undergraduate/Graduate courses in software engineering, accessibility, and AI/ML Research Interests: Focus on experiential learning in computing education, neuroevolutionary algorithms, and AI ethics. Recent projects address empathy-building interventions for inclusive software development and context-aware decision support systems . Grants & Funding: Over $6M secured since 2018 from NSF, DOD, and NSA for projects in AI/ML, cybersecurity, and adaptive systems. Current work explores AI-driven stock trading frameworks and accessibility education modules.

Claudia R. Binderمشاهده پروفایل

استاد

• Urban Sustainability
• Transition Research
• Urban Metabolism
• +۵ مورد دیگر

Claudia R. Binder is Full Professor at EPFL's School of Architecture, Civil and Environmental Engineering, leading the Laboratory for Human-Environment Relations in Urban Systems (HERUS) since 2016. Previously, she held professorships at the University of Munich (2011-2016), University of Graz (2009-2011), and University of Zurich (2006-2009). She served as Dean of EPFL's ENAC School from 2020-2023 and holds advisory roles with Swiss federal institutions including the Mercator Foundation since 2024. Her academic foundation includes a Biochemistry degree and PhD in Environmental Sciences from ETH Zurich, followed by postdoctoral research at the University of Maryland. This interdisciplinary background underpins her research approach spanning natural and social sciences. Professor Binder's work centers on urban sustainability transitions, examining urban metabolism dynamics through systems science frameworks. She investigates energy-food-transport interdependencies in cities using transdisciplinary methods that integrate material flow analysis, spatial modeling, and socio-technical assessments. Her research particularly emphasizes regulatory mechanisms and transformation drivers in human-environment systems, with case studies across Swiss and global urban contexts. Recent publications reveal evolving focus from foundational urban metabolism studies toward actionable transition strategies. Her 2024-2025 work increasingly addresses social tipping dynamics, circular decarbonization, and spatially explicit waste management, demonstrating methodological innovation through geo-referenced material flow analysis and participatory backcasting frameworks. Key thematic clusters include energy innovation diffusion, plastic waste governance, and demand-side flexibility in residential systems. She actively mentors 7 current PhD candidates while supervising 11 graduates since 2018, with research spanning urban metabolism modeling, sustainability assessment, and transition governance. Her leadership extends to Swiss National Science Foundation committees and National Research Program 71 on energy consumption management. At EPFL, she directs the HERUS laboratory which develops the Sustainability Solution Space methodology for urban assessment. The lab operates at the intersection of data science, environmental engineering, and social theory, maintaining strong field connections in Switzerland, Indonesia, and Germany for empirical validation of transition models.

Megan Baileyمشاهده پروفایل

دانشیار

• Fisheries Governance
• Sustainable Fisheries
• Food Security
• +۷ مورد دیگر

Dr. Megan Bailey is an Associate Professor and Canada Research Chair (Tier II) in Integrated Ocean and Coastal Governance at Dalhousie University's Marine Affairs Program, part of the Faculty of Science. She holds a PhD from the University of British Columbia (UBC) and has conducted postdoctoral research at Wageningen University in the Netherlands. Her work focuses on global fisheries governance, combining market and state approaches to achieve sustainable outcomes, particularly in transboundary fisheries and tuna governance. Bailey’s research integrates game theory, global value chain analysis, and informational governance to address challenges in seafood sustainability. She emphasizes collaboration among governments, NGOs, and industry to enhance transparency and equity in fisheries management. Her projects often center on Indigenous rights, Arctic char fisheries in Nunatsiavut, and the impacts of market mechanisms like eco-labels and trade policies. Key areas of research include: cooperative management of shared fish stocks, traceability systems, food security, and equitable allocation in fisheries. She leads the Bailey Lab, which supports interdisciplinary projects such as the North Atlantic Right Whale conservation initiative and the Sustainable Nunatsiavut Futures Project. Bailey has supervised numerous PhD and Master’s students, fostering the next generation of marine governance researchers. Her scientific contributions include over 50 peer-reviewed publications, with recent work addressing Indigenous data sovereignty, decolonizing research methodologies, and the socio-ecological impacts of climate change on coastal communities. Bailey is a principal investigator for the Nippon Foundation Ocean Nexus Center, furthering global ocean equity initiatives.

Moncef Gabboujمشاهده پروفایل

استاد

• Machine learning
• Artificial intelligence
• Signal processing
• +۹ مورد دیگر

Professor Moncef Gabbouj is a distinguished academic and researcher currently serving as Professor of Signal Processing at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Finland. Previously, he held the same position at Tampere University of Technology before the merger in 2019. He has also held visiting professorships at prestigious institutions including Hong Kong University of Technology and Science, University of Southern California, and Purdue University. Ph.D. and MSc. in Electrical Engineering from Purdue University, USA (1989 and 1986) B.Sc. in Electrical Engineering from Oklahoma State University, USA (1985) Prof. Gabbouj's research spans multiple domains within signal and image processing, with a strong focus on machine learning applications. His primary research interests include artificial intelligence, machine learning, Big Data analytics, multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing, voice conversion, and video processing and coding. His work bridges theoretical advancements with practical applications across various industries, particularly in multimedia communications and biomedical applications. His extensive publication record demonstrates a clear evolution from traditional signal processing techniques toward more sophisticated machine learning and deep learning approaches. Recent work shows increasing focus on convolutional neural networks for various applications including ECG classification, video processing, financial time-series analysis, and image recognition tasks, reflecting the broader trend in the field toward deep learning methodologies while maintaining strong foundations in signal processing theory. IEEE Fellow (2011) Member, Finnish Academy of Science and Letters (2014) Knight, First Class, of the Order of the White Rose of Finland (2006) Nokia Foundation Recognition Award (2005) Nokia Foundation Visiting Professor Award (2012) Finnish Cultural Foundation for Art and Science Award (2017) TUT Foundation Grand Award (2015) Prof. Gabbouj has supervised 64 doctoral and 72 Master's theses, demonstrating his significant contribution to academic mentoring. His research has been supported by substantial funding, including research grants totaling 8.5 million Euro (2001-2015). He has served as Academy of Finland Professor during 2011-2015 and has been involved in numerous EU research projects including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus programs. As Editor, Guest Editor or member of the Editorial Board of 6 international scientific journals, he has significantly influenced the academic discourse in his field. He leads the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University and serves as the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics. His research unit focuses on applying advanced machine learning techniques to solve complex problems in signal processing, computer vision, and multimedia analytics, with applications ranging from healthcare to multimedia communications and financial analysis.

• Big Data
• Business Analytics
• Healthcare Analytics
• +۴ مورد دیگر

Haipeng Shen is a Professor of Innovation and Information Management at HKU Business School, The University of Hong Kong, serving as Associate Dean (EMBA and IMBA) and holding the Patrick S C Poon Professorship in Analytics and Innovation. He chairs the Business Analytics and Innovation program and joined HKU in 2015 after previously holding a professorship at the University of North Carolina at Chapel Hill. His academic credentials include: PhD in Statistics, The Wharton School of Business, University of Pennsylvania, 2003 MA in Statistics, The Wharton School of Business, University of Pennsylvania, 2000 BS in Mathematics, School of Mathematical Sciences, Peking University, 1998 Professor Shen's research focuses on data-driven decision making under uncertainty, with expertise spanning big data analytics, business analytics, healthcare analytics, and service engineering. He develops advanced statistical and machine learning methodologies to solve complex operational problems in call centers, optimize stroke care protocols, and enhance financial risk modeling, emphasizing real-time applications in high-stakes environments. Analysis of his recent publications reveals a consistent interdisciplinary approach bridging operations research, statistics, and domain-specific knowledge. His work demonstrates strong methodological innovation in time-series forecasting for service systems, risk assessment frameworks for medical complications, and covariance structure analysis for financial markets, with direct translational impact on business operations and clinical outcomes. His scientific contributions have been recognized with prestigious awards including: Most Influential Publication Award from China Stroke Association (2018) Fellow of the American Statistical Association (2015) Best Advisor of the Year Award from Academy of Asian Business (2018) Elected Member of International Statistical Institute (2015) Cluster Chair for Big Data Analytics at INFORMS International (2015) As an academic leader, Professor Shen has secured significant research funding from organizations including The Xerox Foundation and National Institute on Drug Abuse. He serves as Associate Editor for Management Science, Journal of the American Statistical Association, and Technometrics, while mentoring graduate students in statistical methodology and applied analytics. His current initiatives position HKU Business School at the forefront of healthcare innovation through big data analytics, driving collaborations with medical institutions to transform stroke care and hospital operations in Asia.

Shannon Neibergsمشاهده پروفایل

پژوهشگر

• Economics of Livestock Production and Management
• Auction Markets
• Agribusiness Employment
• +۳ مورد دیگر

Shannon Neibergs is an academic professional at Washington State University (WSU), serving as Director of the Western Center for Risk Management Education and Extension Specialist in the School of Economic Sciences. She holds a Ph.D. in Agricultural Economics from Texas A&M University (1993), an M.A. in Agricultural Economics from WSU (1987), and a B.S. in Animal Science from WSU (1983). Her research focuses on livestock production economics, auction market dynamics, and agribusiness employment strategies, with significant contributions to risk management education and sustainable agriculture. Notable honors include NACAA National and Regional Finalist awards for team newsletters (2010, 2008), a Faculty Member of the Year Award (University of Louisville, 1997), and multiple annual evaluation awards for service and research excellence. Her work bridges academic research with practical extension programs, addressing challenges in beef production systems, genomic selection tools, and rangeland management. Risk Management Education: Leads initiatives to help farmers navigate market uncertainties and policy changes. Livestock Economics: Specializes in production costs, crossbreeding impacts, and disease management economics. Regional Agriculture: Analyzes economic contributions of Washington's beef and dairy sectors through input-output models. Her advisory and collaborative efforts include managing the Western Center for Risk Management and contributing to the Beef Risk Control (BRD CAP) project. She collaborates with ranchers and policymakers to enhance agricultural resilience. Active in interdisciplinary teams such as the IMPACT Center and Transportation Research Group, her work emphasizes translating research into actionable solutions for agricultural stakeholders.

Eric Saillantمشاهده پروفایل

دانشیار

• Conservation Genetics
• Aquaculture Genetics
• Marine Biology
• +۲ مورد دیگر

Eric Saillant is an Associate Professor at the University of Southern Mississippi's Gulf Coast Research Laboratory, specializing in marine genetics and aquaculture. He earned his PhD in fish genetics from the Ecole Nationale Superieure Agronomique de Montpellier in France and conducted postdoctoral research at Texas A&M University before joining USM in 2008. His research integrates genomic and experimental approaches to advance marine conservation and aquaculture. Research interests focus on conservation genetics of tropical marine fishes, aquaculture breeding programs, and reproduction control in warmwater marine species. His work employs cutting-edge genomic tools to study population structures, develop genetic resources, and improve hatchery techniques for economically important species. Recent publications demonstrate a strong focus on genomic resource development for marine species (2023-2025), with studies on snappers, tunas, and oysters predominating. Research trends show increasing application of SNP arrays and genome-wide analyses for fisheries management and conservation. Article keywords frequently include genomics, population structure, aquaculture, and conservation genetics. Dr. Saillant leads a research group applying genomic approaches to marine species conservation and aquaculture enhancement. The laboratory focuses on experimental aquaculture systems and genetic analysis techniques to support sustainable marine resource management.

Gimede Giganteمشاهده پروفایل

دانشیار

• Banking
• Financial Intermediaries
• Corporate Finance
• +۹ مورد دیگر

Gimede Gigante is an associate professor in Financial Intermediaries' Economics at Bocconi University, serving as the Director of ICE - Innovation and Corporate Entrepreneurship at SDA Bocconi and the director of the European Fs Tech Hub in Milan. He holds a tenured core faculty position in the Department of Finance and is the program director for the International Management-China MiM degree. Additionally, he is Vice-director of the Bachelor Degree Programme in 'Economia e Finanza' at Bocconi and a Contract Professor there. He teaches as a Professor of Investment Banking at SDA Bocconi in Mumbai and Professor of Corporate Finance at Fudan University in Shanghai. His professional roles include independent board director of a listed Italian bank and advisory positions, such as membership on the national board of AssoFintech and the Harvard Business Review Advisory Council since 2020. He has held visiting positions at Columbia Business School and NYU’s Salomon Center. Education: Gimede Gigante graduated in Business Administration from Bocconi University, earned a Ph.D. in Banking and Finance from the University of Rome, and holds an ITP qualification from SDA Bocconi. His post-doctoral research was conducted at NYU’s Salomon Center and Columbia Business School’s Faculty of Economics. Research Interests: His studies focus on banking systems, corporate finance, investment banking, and private equity. He explores topics such as public-private partnerships, real estate financing, and financial management of football clubs. His work also delves into capital markets efficiency, sovereign funds comparisons (e.g., CDP, KfW, CDC), and the impact of intellectual capital on banking performance. Recent analyses include the potential of Italian capital markets to drive economic growth and cross-border policy benchmarks for financial systems. Advising and Grants: Gigante served as an Economic Advisor to the Italian Parliament’s Finance Committee from 2016 to 2018, contributing to policies on banking and financial intermediaries. His grants and research collaborations are tied to his involvement in Baffi Carefin’s Research Unit on Investment Banking & Structured Finance. He emphasizes active learning in teaching, using group exercises, multimedia tools, and MOOCs through Coursera partnerships since 2014. Labs and Teams: He is affiliated with Baffi Carefin’s Research Unit on Investment Banking & Structured Finance at Bocconi University. He also contributes to editorial boards of journals like the International Journal of Economics and Finance and Accounting and Finance Research, enhancing academic discourse and regulatory practices.

Mathieu Mercadierمشاهده پروفایل

استادیار

• Business Analytics
• Machine Learning
• Statistics
• +۴ مورد دیگر

Dr. Mathieu Mercadier is an Assistant Professor of Business Analytics at Dublin City University Business School, Ireland. He serves as Programme Chair for the MSc and Graduate Diploma in Business Analytics. His research focuses on Business Analytics, Machine Learning, Financial Risk Management, and Sustainable Finance. Education: PhD in Economics from Université de Limoges, France, specializing in Machine Learning applied to Banking and Finance. He has ten years of industry experience as a Market Finance Consultant. Research interests include applying Machine Learning to banking risk, sustainable finance, and quantitative finance. His work spans statistical modeling for financial stability, algorithmic risk assessment, and ESG fund evaluation. Key trends in his articles involve quantum-enhanced machine learning for stock forecasting, systemic risk measurement, and pandemic impact analysis. No scientific awards listed. Advising and grants: No formal grants or student advisees mentioned. Active in curriculum development for business analytics programs. Engaged in international conferences and seminars. Labs/Teams: Not explicitly stated in provided data.

Thomas Klefothمشاهده پروفایل

استاد

• Ecology
• Fisheries Biology
• Limnology
• +۳ مورد دیگر

Thomas Klefoth serves as Professor of Ecology and Nature Conservation and Fisheries Biologist at Bremen University of Applied Sciences, where he heads the ISTAB program (Institute for Sustainability and Environmental Management in Bremen). His expertise spans freshwater ecosystems, particularly gravel pit lakes, integrating fisheries science with biodiversity conservation and recreational angling management. His research focuses on ecological dynamics in small lake systems, examining angler behavior, habitat management, and species conservation. Key interests include ontogenetic niche shifts in fish, crayfish population viability, telemetry-based movement ecology, and socio-ecological aspects of environmental stewardship. His work consistently bridges empirical lake studies with stakeholder engagement to develop sustainable water management practices. Analysis of his recent publications reveals a strong interdisciplinary trend combining biotelemetry, experimental ecology, and social science methodologies. His research demonstrates how ecosystem-based approaches outperform single-species management, particularly in recreational fisheries contexts, while addressing contamination impacts and biodiversity-service trade-offs in human-dominated aquatic landscapes. Professor Klefoth leads multiple externally funded projects through 2028, including initiatives on sustainable water management by fishing clubs, campus greening, municipal biodiversity strategies, and organofluorochemical contamination. His advisory roles include service on the Lower Saxony Animal Welfare Advisory Board (2012-2020), Hameln Fishing Cooperative (as 2nd Deputy Chairman, 2015-2020), and Dümmer Advisory Board (2012-2015), demonstrating active integration of research with policy implementation.

Marilia Chiavegatoمشاهده پروفایل

استادیار

• Grazing Systems
• Environmental Impact Assessment
• Agroecosystems Resilience
• +۶ مورد دیگر

Marilia Chiavegato is an Assistant Professor at The Ohio State University, holding a split appointment in the Department of Animal Sciences and the Department of Horticulture and Crop Science. She specializes in agroecosystem sustainability, focusing on crop-livestock integration, grazing systems, and environmental impact assessment. Her work emphasizes climate change adaptation through multi-year analysis of large-scale datasets. Education: Ph.D. in Animal Sciences, Michigan State University (2014) M.S. in Applied Chemistry to Agriculture and the Environment, University of São Paulo (2010) B. Eng. in Agronomic Engineering, University of São Paulo (2008) Research Interests: Resilience of agroecosystems under climate change Greenhouse gas emissions monitoring Grazing management strategies Integrated crop-livestock systems Soil carbon sequestration Recent Work Trends: Dr. Chiavegato’s research bridges field-scale analysis with environmental pressures, focusing on mitigating emissions while enhancing productivity. Recent studies include grazing management’s impact on methane/nitrogen dynamics and biochar’s role in sustainable agriculture. Advising & Grants:** Advises students in Animal Sciences and Horticulture/Crop Science. Research funding sources include USDA grants and collaborative initiatives on sustainable farming. Labs/Teams:** Collaborates with Ohio State’s Agricultural Research and Development Center and Extension programs to translate research into practical farm solutions.

• Blue Carbon Ecosystems
• Climate Change Mitigation
• Ecosystem Restoration
• +۷ مورد دیگر

Professor Peter Macreadie is a global leader in marine science and sustainability at RMIT University, where he serves as Director of the Centre for Nature Positive Solutions and founder of the Blue Carbon Lab. He holds a professorial appointment in the School of Science and has held prior roles at Deakin University (2016–2024). His research focuses on leveraging nature-based solutions to mitigate climate change, including blue carbon ecosystems (mangroves, seagrasses, tidal marshes) and teal carbon innovations. He leads interdisciplinary projects in ecosystem restoration, coastal protection, and natural capital accounting, collaborating with governments, industries, and communities. Macreadie’s work spans over 250 publications in top journals like Science and Nature Climate Change , and he has attracted over $35M in research funding. His awards include the 2023 Frontiers Planet Prize and 2020 Premier’s Sustainability Award. He emphasizes translating science into actionable policies and practices, addressing challenges like microplastics, offshore infrastructure decommissioning, and citizen science engagement. Research Themes: Blue Carbon, Climate Mitigation, Ecosystem Restoration Key Projects: Mangrove restoration cost-benefit analysis, ocean alkalinity enhancement, and hybrid green-grey infrastructure He actively supervises PhD and industry projects, such as investigating microplastic impacts on blue carbon systems and feasibility of ocean alkalinity projects. His work aligns with UN Sustainable Development Goals 13 (Climate Action), 14 (Life Below Water), and 15 (Life on Land).

Wai Kiong Oswald Chongمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Engineering Systems
• Optimization
• +۱۰ مورد دیگر

Dr. Wai Kiong Oswald Chong is an Associate Professor at Arizona State University's School of Sustainable Engineering and the Built Environment, with a dual affiliation as Senior Global Futures Scientist at the Global Futures Scientists and Scholars program. He holds a PhD in Civil Engineering from the University of Texas-Austin, MSc and BSc in Building from the National University of Singapore, and focuses on integrating artificial intelligence with sustainable engineering systems. PhD (2005): Civil Engineering, University of Texas-Austin MSc (1999) & BSc (1997): National University of Singapore His research bridges lunar construction with Earth-bound sustainable systems, covering topics like: Space habitat modularization Resource circularity systems AI-enhanced building codes Climate-resilient infrastructure Advanced energy modeling Construction supply chain optimization Publications demonstrate consistent focus on: Semiconductor facility HVAC optimization Building energy consumption anomalies Life cycle assessment frameworks Construction risk management Deconstruction and material reuse AI-driven system modeling Current research projects include: Lunar MVI (Moon Village Initiative) Semiconductor fab design optimization Human-AI knowledge interfaces Thermal insulation systems for extreme environments Smart grid energy modeling

Yuanto KUSNADIمشاهده پروفایل

دانشیار

• Corporate Finance
• Accounting for International Firms
• Corporate Governance
• +۵ مورد دیگر

Dr. Yuanto KUSNADI is an Associate Professor (Education) at the School of Accountancy (SOA), Singapore Management University (SMU), and serves as the Academic Director of SMU-X. With over ten years of teaching experience, he specializes in accounting for entrepreneurs, financial management, and experiential learning through real consultancy projects. His research focuses on corporate finance, accounting, corporate governance, and innovative teaching methodologies. He has published in prestigious journals such as the Journal of Corporate Finance , Journal of Business Ethics , and Journal of Contemporary Accounting and Economics . Education: PhD in Finance, Hong Kong University of Science and Technology Master of Science (Management), National University of Singapore Bachelor of Business Administration (Honours), National University of Singapore Research Interests: Dr. KUSNADI investigates corporate finance dynamics, international accounting practices, governance structures, and pedagogical innovations in higher education. His work emphasizes real-world applications, such as experiential learning through SMU-X programs and digital transformation strategies for SMEs. He has been recognized for contributions to teaching excellence and curriculum development, including the SMU Educational Research Fellowship (2021-2023). Recent Research Trends: His recent publications highlight digital transformation in education, governance challenges in politically connected firms, and the impact of insider trading regulations on corporate behavior. These studies bridge theoretical frameworks with practical industry applications. Awards & Grants: Recipient of multiple SMU Teaching Excellence Awards (2016-2021) SMU MOE-Tier 1 Research Grant (2013-2015, 2018-2020) Journal of Corporate Finance Reviewing Excellence (2015) Advising & Outreach: Dr. KUSNADI mentors SMU-X projects and serves on academic committees, including the SOA Undergraduate Admission Outreach and SMU Peer Coach program. He actively engages with industry partners to design curriculum aligned with global business needs. Labs & Initiatives: His work integrates SMU-X’s global student consulting programs, fostering partnerships that enhance cultural intelligence and digital literacy among students. These initiatives aim to prepare future accountants for evolving industry demands.

• Agroecology
• Soil Science
• Bioenergy Systems
• +۳ مورد دیگر

Randy Jackson is a Lecturer in the Department of Mechanical Engineering at the University of Wisconsin-Madison. His primary affiliation is with the Mechanical Engineering program, and he holds a PhD in Engineering from UW-Milwaukee, an MS in Mechanical Engineering from San Diego State University, and a BS in Mechanical Engineering from UW-Madison. His research focuses on agroecology, soil health, and sustainable agricultural systems, particularly in the context of perennial grasslands and bioenergy crops. Key research interests include soil carbon dynamics, grazing management practices, and the integration of perennial vegetation into agricultural systems to enhance environmental sustainability. He has contributed to advancements in agroecosystem modeling, particularly with the Agro-IBIS model, and has explored strategies for mitigating climate change through regenerative agricultural practices. His recent work emphasizes the importance of interdisciplinary approaches to address challenges in soil health, water quality, and carbon sequestration. Collaborative projects include evaluating the impacts of pasture and crop management on ecosystem services, as well as developing decision-support tools for conservation grazing practices in the Midwest. Dr. Jackson’s publications highlight trends in perennial agriculture, soil organic carbon persistence, and the environmental benefits of integrating livestock systems with perennial crops. His findings underscore the potential of agroecological innovations to achieve triple-bottom-line outcomes in agricultural sustainability.