Dr. Cai Ladd is a Lecturer in Geography at Swansea University's School of Biosciences, Geography and Physics. His research focuses on coastal wetlands, integrating biogeomorphology, socio-ecological resilience, and ecosystem service sustainability. He leads the 'Coastal Wetlands and Ecosystem Services' theme at the Climate Action Research Institute. Dr. Ladd teaches modules such as Coastal Processes, GIS Applications, and Sustainable Development Goals, emphasizing practical fieldwork and spatial statistics. Current projects include the Community-Led Enhancement and Restoration of Coastal Ecosystems in the Cumbrian Solway Firth (2022–2025), funded at £175,977. He supervises PhD student Rhian Hedd Meara on cross-border coastal conservation. His research employs spatial statistics, hydrological monitoring, and citizen science to develop management tools for coastal conservation. Notable contributions include studies on saltmarsh carbon stocks, mangrove restoration in tropical deltas, and innovative Mini Buoy sensor technology. Dr. Ladd collaborates globally, with publications in Frontiers in Marine Science , Nature Communications , and Environmental Pollution . His work bridges natural and social sciences, addressing climate adaptation and community-led conservation strategies.
Michael Stonebraker is a renowned computer scientist and Adjunct Professor of Computer Science at MIT's CSAIL. He is a pioneer in database technology, having developed foundational systems like INGRES and POSTGRES at UC Berkeley. His work spans database management, distributed systems, and data integration. He has founded multiple startups to commercialize his research and holds numerous awards, including the ACM Turing Award (2014) and IEEE John von Neumann Medal (2005). He earned his Ph.D. from the University of Michigan and undergraduate degrees from Princeton and Michigan. His research focuses on advancing database systems, operating systems, and big data analytics. Recent work includes contributions to video data management, cloud computing optimization, and data discovery systems. Education: Ph.D., Computer, Information and Control Engineering, University of Michigan (1971) M.S.E., Electrical Engineering, University of Michigan (1966) B.S.E., Electrical Engineering, Princeton University (1965) Research Interests: Database Technology, Distributed Systems, Data Integration, and Big Data Analytics. His work bridges theory and practice, emphasizing scalable architectures and real-world applications. Awards & Recognition: ACM Turing Award (2014) ACM SIGMOD Systems Award (2015) MIT Tech Review TR7 (2016) C&C Prize (2020) Grants & Labs: His research is supported by grants from NSF, DARPA, and industry collaborations. He leads MIT's efforts in database systems and is affiliated with CSAIL labs focused on data management and high-performance computing.
Dr. Yuki Miura serves as Assistant Professor at New York University's Tandon School of Engineering in the Department of Mechanical and Aerospace Engineering and Center for Urban Science and Progress (CUSP), with additional affiliations at NYU Stern's Volatility and Risk Institute and the New York City Panel on Climate Change (NPCC5). Her academic credentials include a Ph.D. (2022), M.Phil. (2021), and M.S. (2017) in Civil Engineering and Engineering Mechanics from Columbia University, complemented by a B.Eng. in System Design Engineering from Keio University (2015). Dr. Miura's research integrates engineering, climate science, finance, and social sciences to develop actionable resilience solutions. Her work focuses on climate risk quantification , urban adaptation strategies , and socioeconomic impact modeling through advanced data analytics. She pioneers methodologies that couple physical climate modeling with socioeconomic vulnerability assessments to deliver implementable risk mitigation frameworks for public and private institutions. Her publication portfolio demonstrates consistent advancement in climate risk analytics, with recent work addressing urban flooding dynamics, precipitation extremes, and infrastructure protection. These studies reveal a distinct trajectory toward integrated risk modeling that bridges climate physics with financial and social dimensions, increasingly leveraging AI-driven approaches for compound hazard assessment. Recognition for her contributions includes the Mindlin Scholar award from Columbia University (2022), with research featured in The New York Times , The New Yorker , and The Nikkei . As director of the Climate, Energy, and Risk Analytics Lab (CERA), Dr. Miura mentors graduate students in developing data-driven solutions for climate resilience. Her industry experience at Morgan Stanley (2021-2024) in climate risk management directly informs her applied research approach, fostering strong connections between academic innovation and real-world implementation. CERA operates as an interdisciplinary hub developing AI-driven methodologies for urban flood modeling, compound climate risk assessment, and socioeconomic impact analysis. The lab maintains active collaborations with the National Center for Atmospheric Research and New York City/State governments to translate research into actionable climate adaptation policies.
Olufemi A. Omitaomu is an Adjunct Professor at the Department of Industrial and Systems Engineering within the Tickle College of Engineering at the University of Tennessee, Knoxville. He serves as a Group Leader and Distinguished R&D Staff at Oak Ridge National Laboratory (ORNL), leading the Computational Urban Sciences Group in the Computational Sciences and Engineering Division. Ph.D., Industrial Engineering (Information Engineering concentration), University of Tennessee, Knoxville M.S., Mechanical Engineering, University of Lagos, Nigeria B.S., Mechanical Engineering, Lagos State University, Nigeria Dr. Omitaomu’s research focuses on artificial intelligence in energy systems , cognitive coupling of human-machine systems , anomaly detection in complex systems , energy infrastructure siting and analysis , and disaster risk analysis with urban systems resilience . His work integrates computational models, optimization techniques, and geospatial frameworks to address challenges in critical infrastructure systems. The 15 most recent publications highlight trends in renewable energy integration , climate adaptation strategies , and emergency resource allocation . Key methodologies include agent-based modeling , multicriteria decision analysis , and wavelet shrinkage , applied to domains like energy systems , disaster management , and urban sustainability . Scientific recognition includes: Distinguished R&D Staff, Oak Ridge National Laboratory Senior Member, Institute of Industrial and Systems Engineers (IISE) Senior Member, Institute of Electrical and Electronics Engineers (IEEE) He actively mentors MS and PhD students with expertise in Python programming , game theory , and human-machine systems . His research is supported by collaborations with ORNL and interdisciplinary grants.
Ivano Cardinale is a Professor and Head of the Institute of Management Studies at Goldsmiths, University of London. He previously held a Junior Research Fellowship at Emmanuel College, Cambridge, and has been a Visiting Fellow at Clare Hall, Cambridge. He founded and directs the Structural Economic Analysis Unit and serves as Editor-in-Chief of Structural Change and Economic Dynamics . PhD, University of Cambridge 2022 Feltrinelli Giovani Prize for Social Sciences (Italy's top award for researchers under 40) 2019 Guest Faculty, Learning Innovation Laboratory, Harvard University His research in Structural Political Economy examines how material, social, and cognitive structures shape economic conflicts and policy outcomes. Key areas include institutional theory, industrial dynamics, and energy transition frameworks. He analyzes systemic interests, sectoral conflicts, and structural conditions through theoretical and empirical studies. Recent publications explore gas market vulnerabilities in EU energy policy, Pasinetti's institutional theory, and networked economic structures. His work appears in Structural Change and Economic Dynamics , Energy Economics , and Cambridge Journal of Economics . Scientific awards include: 2022: Feltrinelli Giovani Prize (Social Sciences) 2019: Political Economy Research Fellowship (ISRF) 2016: Life Membership, Clare Hall, Cambridge He contributes to academic governance through editorial roles and co-edited major handbooks including The Palgrave Handbook of Political Economy (2018) and The Political Economy of the Eurozone (2017).
Mehdi Farahani is an Assistant Professor at the C.T. Bauer College of Business, University of Houston, in the Department of Decision & Information Sciences. He holds a Ph.D. in Operations Management from the Jindal School of Management, The University of Texas at Dallas, and has previously served as an Assistant Professor at the University of Miami and as a Postdoctoral Associate at MIT's Center for Transportation & Logistics. His research focuses on Operations Management , with specialized interests in Socially-Responsible Operations , Service Operations , and Supply Chain Contracting . His work integrates sustainability, equity, and efficiency in operational decision-making, particularly in humanitarian and environmental contexts. The recent publications highlight a strong trend in sustainable and resilient operations, with applications in agriculture, infrastructure, cloud computing, and urban services. His research often involves modeling complex trade-offs under uncertainty and designing contracts or policies to improve system performance. Scientific Awards and Recognitions: Honorable Mention: POMS Humanitarian Operations and Crisis Management Best Paper Award Selected for presentation at the SIG Meeting on Service Operations MSOM 2021 Conference Featured in INFORMS Analytics Collections (formerly Editor's Cut) Mehdi Farahani advises on operations and supply chain research and contributes to graduate education through courses such as SCM 6301 (Supply Chain Management in Executive MBA) and SCM 7330 (Demand and Supply Integration). While specific grant details are not mentioned, his publication record in premier journals indicates strong research support and scholarly impact. He collaborates with leading researchers including M. Dawande, G. Janakiraman, and H. Gurnani. He is actively contributing to the advancement of operations management through high-impact research and academic engagement, with no indication of affiliation with a formal lab or research team beyond his published collaborations.
Anne Holland is Professor of Physiotherapy and Head of Respiratory Research at Monash University and Alfred Health in Melbourne, Australia. She is an NHMRC Leadership Fellow (2021–2025) and a Chief Investigator for the NHMRC Centre of Research Excellence in Pulmonary Fibrosis and the NHMRC Centre of Research Excellence in Treatable Traits. Her research focuses on supportive therapies for chronic respiratory diseases, particularly COPD and pulmonary fibrosis, with a strong emphasis on pulmonary rehabilitation, telerehabilitation, and ambulatory oxygen therapy. Her research interests include: Respiratory physiotherapy Pulmonary rehabilitation (home-based and low-cost models) Access to care for chronic lung disease Telerehabilitation and digital health Symptom management in interstitial lung disease Exercise training and physical activity promotion Her recent publications focus on symptom management, digital self-management tools, treatable traits models, and clinical trials in pulmonary fibrosis and COPD. The body of work reflects a strong trend toward patient-centered, accessible, and evidence-based interventions that improve quality of life and clinical outcomes in chronic respiratory conditions. Her major scientific awards include: Society Medal, Thoracic Society of Australia and New Zealand (2021) European Respiratory Society Gold Medal for Allied Health Professionals (2022) NHMRC Investigator Fellow (Leadership 1) (2021) Fellow, Thoracic Society of Australia and New Zealand (2019) American Thoracic Society Pulmonary Rehabilitation Assembly Award (2016) Anne Holland supervises PhD students and is actively involved in advising and grant leadership. She is the Primary Chief Investigator on major trials such as the PERFORM trial and the TAPPET trial, and she leads a multinational ambulatory oxygen trial for fibrotic lung disease. Her work is supported by NHMRC and international collaborations. She is also President of the Thoracic Society of Australia and New Zealand, reflecting her leadership in the field. Anne leads the Holland Respiratory Care Research Group at Monash, which focuses on innovative models of care delivery, validation of remote monitoring tools, and improving patient self-management in chronic lung disease. The team collaborates widely across Australia and internationally, particularly in trials involving pulmonary rehabilitation and treatable traits.
Dr. Emre Alp is an Associate Professor at the Environmental Engineering Department of Middle East Technical University (METU) , where he has served since 2014. Previously, he held roles as Assistant Professor (2011-2014), Instructor (2008-2011), and Part-time Instructor (2008). His research spans Watershed Management , Water-Energy-Food Nexus , and Environmental Economics , with a focus on Diffuse Pollution and Water Quality Modeling using GIS and Remote Sensing . Education : Ph.D. in Civil and Environmental Engineering (2006), M.S. in Environmental Engineering (1999), and B.S. in Environmental Engineering (1997) from METU and Marquette University. Research : His work integrates Environmental Risk Assessment with optimization models like SWAT for nutrient load analysis, economic valuation of ecosystems, and urban waterway pollution control. Key projects include Sustainable Stormwater Management on METU campus and Water-Energy Nexus studies in Turkey. Publications : Over 14 refereed journal articles since 2007, focusing on Urban Hydrology , Environmental Economics , and Watershed Modeling . Awards : Post-Doctoral Scholarship (Marquette University, 2006-2008) and Research/Teaching Assistantships (Marquette, 2000-2006). Students : Supervised 2 Ph.D. and 7 M.S. theses on topics like climate change impacts, water allocation, and pollution control.
Yong-Bin Kang is a Senior Data Science Research Fellow at the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) at Swinburne University of Technology, affiliated with the School of Social Sciences, Media, Film and Education. He holds a PhD in AI from Monash University and leads numerous transdisciplinary research projects applying artificial intelligence to address complex societal challenges. Education: PhD in Faculty of IT, Monash University, Australia Dr. Kang's research focuses on Responsible AI and Society, with specific interests in developing Societal-AI platforms that integrate social data with ethical principles. His work spans healthcare, humanitech, education, financial planning, environmental health, and justice domains. He investigates how AI can enhance decision-making processes while promoting societal well-being, with particular attention to ethical implementation and human-centered approaches. His expertise encompasses AI, natural language processing, machine learning, and decision-making optimization. Analysis of Dr. Kang's recent publications reveals a strong trajectory toward socially responsible AI applications across diverse domains. His work consistently bridges technical AI capabilities with social implications, particularly focusing on ethical frameworks, community-centered design, and addressing societal inequalities through technology. The publications demonstrate increasing collaboration across disciplines including criminology, environmental science, mental health, and education. Dr. Kang is actively involved in significant research funding initiatives, with multiple ongoing projects that address critical societal challenges through AI. His supervision availability includes Doctorate (PhD) candidates, indicating his commitment to mentoring the next generation of researchers in AI and data science fields. Current Flagship Areas: Digital Capability Innovative Society Manufacturing Futures Sustainable Development Goals: Good Health and Well Being (SDG 3) Industry, Innovation and Infrastructure (SDG 9) Affordable and Clean Energy (SDG 7)
John B. Jemmott III is the Kenneth B. Clark Professor of Communication and Psychiatry at the University of Pennsylvania, with dual appointments in the Annenberg School for Communication and the Perelman School of Medicine. His endowed chair honors psychologist Kenneth B. Clark, emphasizing social justice and health equity. Dr. Jemmott holds a Ph.D. in Psychology from Harvard University and previously held faculty positions at Princeton University. Research Focus: Jemmott develops culturally tailored, theory-based interventions to reduce health disparities. His work integrates social cognitive theory and qualitative community research to address HIV/STD risks, physical activity promotion, and COVID-19 mitigation. Key populations include African American adolescents/adults, South African communities, and postpartum women. Eight of his curricula are nationally disseminated by CDC and HHS. Publication Trends: Recent articles (2023-2025) focus on: Behavioral mechanisms in HIV/STD prevention Health equity interventions for Black communities COVID-19 vaccine hesitancy and mitigation Culturally adapted therapies (e.g., CBT-I) Syndemic influences on health behaviors Awards & Honors: Fellow, American Psychological Association Fellow, Association for Psychological Science Fellow, Society for Behavioral Medicine Grants & Advising: Jemmott has secured over $64M in NIH funding as principal investigator. Current projects include HIV stigma reduction and SARS-CoV-2 behavior mitigation. He teaches graduate courses in Attitude and Behavioral Prediction, Health Psychology, and Quantitative Methods, and mentors emerging researchers in health communication.
Dr. Maryegli Fuss is a Scientific Associate at the Institute for Technology Assessment and Systems Analysis (ITAS), Karlsruhe Institute of Technology (KIT) in Germany. She heads the 'Energy-X Nexus' working group within the 'Sociotechnical Energy Futures' research group and serves as academic mentor for the doctoral program Climate, Resources and Circular Economy (KLIREC) . She also contributes to ITAS's 'New Work' initiative and provides scientific advice for German-Indian university collaborations (TU9 network). Education: PhD in Philosophy (Sustainability), KIT (2022) MSc in Material Flow Management, Trier University of Applied Sciences (2012) BSc in Agro-industrial Chemistry, Federal Institution of Goiás, Brazil (2010) Research Focus: Her transdisciplinary work integrates sustainability science, systems analysis, and industrial ecology. Primary domains include: (1) Circular economy implementation in waste management systems, (2) Energy-resource nexus (Water-Waste-Energy-Food), (3) Supply chain risks for critical materials in renewable energy, and (4) Life cycle assessment of low-carbon transitions. Methodologies feature material flow analysis, stakeholder interviews, and socio-technical system modeling. Publications: Her research output emphasizes sustainable waste management in Global South contexts (especially Brazil), critical material supply chains for energy transitions, and environmental assessment frameworks. Recurring themes include circular economy implementation challenges, transdisciplinary approaches, and policy design for resource security. Leadership: Coordinates international research partnerships (e.g., Chile/Indonesia water-energy nexus projects) and leads doctoral mentoring initiatives focused on climate-resource systems.
Dr. Rebecca Rooney is an Associate Professor in the Faculty of Science at the University of Waterloo, specializing in wetland ecology and environmental toxicology. She contributes to graduate studies as Interim Associate Chair and leads the Rooney Lab , which focuses on wetland conservation, invasive species impacts, and contaminant dynamics in aquatic ecosystems. University of Waterloo Ecology and Evolution Research Group Her research spans several critical areas: Wetland hydrology and groundwater interactions Ecological impacts of microplastics and stormwater contaminants Invasive species management (particularly Phragmites australis ) Climate change effects on wetland biodiversity Environmental monitoring techniques The 15 most recent publications reveal consistent research themes in urban stormwater contamination, wetland connectivity, and microplastic pollution. These works employ field experiments, isotope tracing, and multi-metric monitoring frameworks to address ecological risks and inform conservation strategies. She actively investigates pesticide bioconcentration in biofilms, wetland reclamation in oil sands regions, and the ecological consequences of hydrological changes. Her lab integrates field-based methodologies with policy considerations to advance wetland science.
Professor Marie Griffiths is a distinguished academic and expert in digital transformation at Salford Business School, University of Salford. She holds the position of Professor of Digital Technologies in Organizations and serves as EDI Lead for Research (2023–present). Her academic career includes significant leadership roles such as PGR Director at Salford Business School (2019–2023) and Head of the Digital Business Research Centre. She previously served as President of the UK Academy for Information Systems (UKAIS) after her tenure as Vice President. Dr. Griffiths earned her PhD in Business Information Systems, establishing the foundation for her expertise in digital transformation. Her research spans multiple critical areas including digital transformation, information systems, gender and IT, AI and disruptive technologies, digital society, privacy and surveillance studies, family surveillance, productivity technologies, and digital education. Her work consistently bridges academic theory with practical business applications, focusing on how organizations respond to digital disruptions and how workforces adapt to emerging technologies. Her recent publications reveal a strong focus on strategic digital transformation, digital maturity assessment, and the intersection of technology with social impact. The 2025 second edition of her book 'Strategic Digital Transformation – A Results-Driven Approach' represents a significant contribution to the field. Her research increasingly addresses the gender dimensions of digital transformation, as evidenced by her 2024 work on closing the REF Gender Inequality Gap. She also explores the practical applications of digital technologies in specific sectors including government organizations, healthcare (particularly nursing), and financial technology. Vice-Chancellor's Distinguished Teacher Awards (multiple) Professor Griffiths has supervised 14 PhD completions and currently oversees doctoral candidates researching fintech, digital transformation, and sustainability. She established the PGR International Women's Network to support female researchers. Her grant leadership includes 11 Knowledge Transfer Partnerships (KTPs) with organizations like Manchester Chamber of Commerce, OPAL, and Hydro-X, securing significant funding from Innovate UK. She has also contributed to policy development through work with the British Standards Institute Steering Group for Digital Maturity. As Head of the Digital Business Research Centre, Professor Griffiths leads a team focused on practical digital transformation research with strong industry connections. Her approach emphasizes people-centric transformation, ensuring that people remain at the heart of any change. The centre's work spans multiple sectors including government, healthcare, finance, and small and medium enterprises, with a particular focus on developing practical tools like digital transformation canvases for different organizational contexts.
Daniel Schnurr holds the Chair of Machine Learning, especially Uncertainty Quantification at the University of Regensburg since August 2022, where he conducts research at the intersection of artificial intelligence, data economics, and digital market regulation. Previously, he headed the Data Policies research group at the University of Passau, building his expertise in the economic and regulatory aspects of digital markets. His educational background includes a doctorate in business informatics from the Karlsruhe Institute of Technology (2016), where he also worked for three years as a research associate at the Institute for Information Systems and Marketing. He completed his undergraduate and master's studies in Information Systems at KIT (2007-2013), with international experience at Concordia University in Canada and Singapore Management University. Professor Schnurr's research focuses on the technical, economic, and social implications of new machine learning methods and data as a decisive competitive factor and driver of innovation in digital markets. His work examines how data functions as both an economic asset and regulatory challenge, particularly in contexts of market power, competition policy, and AI governance. He investigates uncertainty quantification in machine learning systems while considering their broader economic and societal impacts. His publication portfolio demonstrates consistent output in top-tier journals including Management Science, Journal of Information Technology, and Journal of Competition Law & Economics, with recent work increasingly focusing on AI regulation, data access remedies, and uncertainty-aware AI systems. The trajectory shows evolution from telecommunications infrastructure research to contemporary digital market and AI regulation issues. As a Research Fellow at the Centre on Regulation in Europe (CERRE) since 2022, he has authored numerous policy reports addressing regulation of cloud computing services, digital platforms, and data economy frameworks. His policy contributions bridge academic research with practical regulatory implementation, particularly regarding the European AI Act and Digital Services Act. His research program involves experimental approaches to understanding data markets, human-AI interaction dynamics, and regulatory effectiveness. Through his work at CERRE and collaborations with international scholars, he contributes to shaping evidence-based digital policy in the European context while maintaining strong connections to academic research communities in information systems and economics.
Sara Perkins, MD is an Associate Professor of Dermatology at Yale School of Medicine and serves as Assistant Residency Director for the Dermatology program. She is a board-certified dermatologist practicing general medical dermatology at Yale Medicine's Department of Dermatology. Dr. Perkins earned her undergraduate degree in Economics and Biology from the University of Pennsylvania, followed by her MD from Icahn School of Medicine at Mount Sinai in 2014. She completed her Internal Medicine internship at Massachusetts General Hospital and Dermatology residency at Yale-New Haven Hospital, with additional research fellowship training at Tisch Cancer Center. Her clinical expertise focuses on skin cancer prevention, screening, and treatment, with special emphasis on melanoma management. She also addresses sun-related skin conditions including pigmented lesions and photoaging. Dr. Perkins is particularly passionate about helping patients achieve optimal skin health, stating: 'I love helping patients with skin disease achieve their healthiest and best-looking skin.' Her sole listed publication (2024) demonstrates her commitment to medical education, specifically developing dermatology curricula based on student preferences and identifying learning gaps. This work appears in Medical Science Educator and represents her scholarly contribution to medical education methodology. Board Certified in Dermatology (American Board of Dermatology, 2018) Featured in 2024 'Top Doctors' List As Assistant Residency Director, Dr. Perkins plays a key role in training the next generation of dermatologists. She is also involved in clinical research as a Sub Investigator for the 'Molecular Markers of UV Exposure and Cancer Risk in Skin' study (HIC ID 2000024848), which completed primary data collection in March 2024. Dr. Perkins contributes to specialized clinical programs including the Dermatology Psoriasis Treatment Program and the Skin & Kidney Cancer Program at Yale, demonstrating her integration into multidisciplinary care teams focused on complex dermatological conditions.
