جست‌وجوی استاد و پژوهشگر

Andrea Gröppel-Kleinمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Research
• Cross-Cultural Consumer Studies
• +۴ مورد دیگر

Univ.-Prof. Dr. Andrea Gröppel-Klein is Professor of Business Administration (Marketing) and Director of the Institute for Consumer and Behavioral Research at Saarland University's Faculty of Empirical Human Sciences. She joined CEUS in 2021 and maintains active research collaborations across Europe. Her leadership extends to deputy directorship at the Europa-Institut (Economics Section), where she teaches interdisciplinary courses. Her research examines consumer behavior through innovative interdisciplinary methods including eye tracking, electrodermal response measurement, and facial expression analysis. Key focus areas include: Cross-cultural consumer behavior comparisons Impacts of digitalization, virtual worlds, and demographic shifts Consumer responses to crises (e.g., COVID-19, Ukraine war) Food/health policy through EU projects (FLABEL, CLYMBOL, mEATquality) Animal welfare economics and sustainable consumption Recent publications (2021-2024) demonstrate strong emphasis on digital transformation in marketing, particularly virtual influencers, AI interfaces, blockchain applications, and crisis-driven consumer behavior. Her work consistently integrates behavioral science with practical marketing implications. Honors include: OWL-Unternehmerpreis for doctoral research Büropa-Preis for habilitation excellence Lise-Meitner-Stipendium research grant She directs multiple EU-funded projects investigating meat quality perception and health labeling, while supervising doctoral candidates through the EIASM network. Her institute employs interdisciplinary teams using physiological measurement labs for consumer studies.

Thomas J. Sharptonمشاهده پروفایل

استاد

• Metagenomics
• Gut microbiome
• Chronic disease
• +۷ مورد دیگر

Thomas J. Sharpton is a Professor in the Department of Microbiology and Department of Statistics at Oregon State University's College of Engineering. His research focuses on understanding the gut microbiome's role in health, ecology, and evolution through interdisciplinary approaches that combine computational, experimental, and analytical methods. Dr. Sharpton earned his Ph.D. from the University of California, Berkeley and his B.A. from Oregon State University in 2003. His educational background provides a strong foundation for his interdisciplinary research at the intersection of microbiology, statistics, and computational biology. Sharpton's research program centers on three interconnected areas: the microbiome's connection to health and behavior, the impact of exogenous factors on the gut microbiome, and the link between the gut microbiome and vertebrate ecology and evolution. His lab employs systems biology approaches to measure microbiome features and statistically model data to identify those linked to health. They also develop zebrafish as an experimental model to study environmental impacts on the microbiome and explore evolutionary connections across vertebrate species. Analysis of Dr. Sharpton's recent publications reveals a strong focus on using zebrafish models to investigate microbiome-environment interactions, particularly regarding climate change, toxicant exposure, and nutritional impacts. His work increasingly emphasizes computational approaches, including statistical modeling of microbiome data and multi-omics integration. The research spans human health applications, environmental impacts, and evolutionary perspectives on host-microbiome relationships. Dr. Sharpton's work is generously supported by major funding agencies including the National Institutes of Health, the National Science Foundation, and the United States Food and Drug Administration, along with the Morris Animal Foundation and the Oregon Agricultural Research Foundation. The Sharpton Lab manages the Microbiome Core Facility at OSU, which provides services for microbiome data generation and analysis. They value interdisciplinary collaborations, commercial partnerships, and open science practices, developing open-source software and offering training workshops in microbiome data analytics. The lab has processed thousands of samples spanning human, mice, and zebrafish associated microbiomes.

Annarita De Maioمشاهده پروفایل

پژوهشگر

• Logistics 4.0
• Sustainable Logistics
• Last-Mile Delivery
• +۳ مورد دیگر

Annarita De Maio serves as a Researcher in Operations Research (MAT/09) at the Department of Economics, Statistics and Finance (DESF) of the University of Calabria, where she teaches Logistics, Operations Research, and Mathematical Methods for Economics courses across undergraduate and graduate programs including Economics, Data Science, and Management Engineering. PhD in Mathematics and Computer Science (2018), University of Calabria Dissertation: Integrated Logistics and Last-Mile Deliveries (developed with Procter & Gamble) Research periods at P&G Brussels and CIRRELT/Laval University (Quebec) Her research centers on Logistics 4.0 innovations with dual emphasis on sustainable last-mile delivery systems (crowdshipping, autonomous robots, locker networks) and smart tourism applications . Current projects integrate IoT and AI for optimizing pharmaceutical distribution, perishable goods logistics, and urban tourist trip planning while addressing environmental constraints and stochastic demand patterns. Recent publications (2022-2025) reveal three thematic clusters: (1) stochastic optimization for dynamic delivery systems, (2) sustainable urban logistics solutions using multi-modal transport, and (3) data-driven tourism management frameworks. Her work consistently bridges theoretical modeling with industrial case studies involving Italian companies and municipal authorities. As an active member of DESF's Quantitative Methods for Economics, Finance and Management research group, she contributes to regionally and nationally funded projects focusing on mathematical programming applications. Her international conference participation includes speaking and organizing roles at major logistics and operations research events. Dr. De Maio collaborates within the department's research ecosystem through the Quantitative Methods group, which develops computational models for decision-making in finance, actuarial science, and transportation. Current initiatives explore crowdshipping economics, green tourist trip design, and risk-aware inventory systems for perishable commodities.

Iacopo Iacopiniمشاهده پروفایل

دانشیار

• Complex Networks
• Computational Social Science
• Behavioral Contagion
• +۵ مورد دیگر

Iacopo Iacopini serves as an Associate Professor in the Network Science Institute at Northeastern University London, where his research bridges physics, mathematics, and social science through the lens of complex networks. His work focuses on behavioral contagion, discovery processes, and group dynamics, with particular emphasis on higher-order network structures that capture multi-way interactions beyond traditional pairwise models. His academic foundation includes: PhD in Mathematics from Queen Mary University of London MSc in Physics of Complex Systems from the University of Turin BSc in Physics from the University of Bologna Iacopini's research program investigates how group interactions shape complex phenomena, with applications spanning social contagion, urban systems, disease modeling, and even culinary networks. His theoretical work on higher-order novelties and explosive contagion has provided new frameworks for understanding complex systems where traditional pairwise network models fall short. Analysis of his publication trajectory reveals a consistent focus on advancing higher-order network theory while applying these concepts to diverse real-world systems. His recent work demonstrates increasing sophistication in modeling group dynamics across biological, social, and cultural domains, with a notable expansion into applications for public health and urban planning. Professional recognition includes: Elected member of the Steering Committee of the Conference on Complex Systems Elected member of the Council of the Complex Systems Society Member of the Executive Committee of the British Chapter of the Network Science Society Associate Editor of the journal Advances in Complex Systems Dr. Iacopini actively shapes his field through conference leadership, co-organizing the annual TopoNets satellite at NetSci and CRAB: Complexity Research in Animal Behaviour at CCS. His research has been supported by prestigious institutions including the James S. McDonnell Foundation, with affiliations spanning The Alan Turing Institute and ISI Foundation. As part of the Network Science Institute at Northeastern University London, Iacopini contributes to a European hub for network science research that fosters interdisciplinary collaborations across physics, computer science, social science, and biology to advance our understanding of complex systems through innovative network approaches.

Francesco Pillaمشاهده پروفایل

استاد

• Smart Cities
• Geospatial Analysis
• Environmental Modeling
• +۷ مورد دیگر

Professor Francesco Pilla is a Full Professor of Smart and Sustainable Cities at University College Dublin's School of Architecture, Planning and Environmental Policy, where he also serves as Co-Director of the Spatial Dynamics Lab. Previously, he held positions as MSc Director (2018-2019) and Undergraduate Director for the School of Architecture. With over 15 years of experience in GIS modeling and spatial data analysis, Professor Pilla's work bridges technology, urban planning, and community engagement to create more sustainable cities. Professor Pilla's research focuses on developing geospatial analysis tools and environmental pollution models (air, noise, water) using GIS platforms to facilitate interoperability between research teams and end users. His approach integrates environmental pollution models with pervasive and community sensing applications for calibration and validation. A key innovation in his work is the integration of co-design principles through Living Labs in urban planning and citizen science initiatives to improve city life from an environmental perspective. His recent publications reveal a strong focus on urban sustainability challenges, with significant contributions to air quality monitoring, sustainable transportation, climate adaptation, and citizen science methodologies. His work increasingly incorporates advanced AI techniques, including large language models and machine learning algorithms, to analyze urban systems and develop data-driven solutions for complex environmental problems. The research demonstrates a clear trend toward integrating diverse data sources and developing practical tools for urban governance and planning. Haagen-Smit Prize (2024) - Recognizing outstanding papers published in Atmospheric Environment Best eMobility Project - Electric Vehicle Awards 2024 All Ireland community & council awards - Best Community Transport Initiative 2024 Academic research award: tipping point for action from Financial Times (2023) Professor Pilla leads numerous significant research projects including iSCAPE (H2020-SC5) as Coordinator, OPERANDUM (Principal Investigator for UCD) focusing on flood risk reduction with nature-based solutions, WeCount (Principal Investigator for UCD), and Connecting Nature (Principal Investigator for UCD). He has also secured funding through SFI Investigator grants for 'Scalable, Privacy-Enhanced Analytics for sharing mobility systems' and several Environmental Protection Agency projects. His collaborative work extends to partnerships with MIT through Fulbright/EPA TechImpact awards and IBM through Faculty Awards. At the Spatial Dynamics Lab, Professor Pilla oversees research that combines geospatial analysis, environmental monitoring, and community engagement. His innovative 'Bike Library' initiative, which has expanded to multiple schools in Dublin, exemplifies his commitment to translating research into practical community solutions. The lab's work integrates advanced sensing technologies, GIS platforms, and citizen science to address urban environmental challenges through collaborative approaches.

• Ecology
• Limnology
• Hydrobiology
• +۴ مورد دیگر

Professor Abuzer Çelekli is affiliated with Gaziantep University , where he serves in the Faculty of Arts and Sciences , Department of Biology . His research focuses on Ecology , Limnology , and Hydrobiology , particularly algae-based solutions for environmental and food science challenges. Doctorate in Biology (2006), Abant İzzet Baysal University Master’s in Biology (2002), Ankara University Licence in Biology (1998), Ankara University Çelekli’s work spans algal biotechnology , water quality assessment using diatoms, and eco-friendly processes for dye removal. His recent studies include Arthrospira platensis applications in functional foods and terraforming concepts for Mars. Key trends in his 108+ articles involve diatom metrics , phytoplankton ecology , and adsorption technologies for heavy metals and dyes. Despite extensive publication activity, no specific awards are documented in the provided texts.

Christopher Kuchaمشاهده پروفایل

استادیار

• Food Process Engineering
• Precision Agriculture
• Machine Vision
• +۶ مورد دیگر

Christopher Kucha is an Assistant Professor in the Department of Food Science & Technology at the University of Georgia's College of Agricultural and Environmental Sciences. His work focuses on integrating engineering principles with digital technologies to address challenges in agri-food production. Dr. Kucha's research centers on the development and application of sensing technologies, data analytics, and systems modeling to improve food quality, safety, and processing efficiency. His lab, the Precision Food Process Engineering Lab, aims to reduce food waste, conserve resources, and enhance sustainability in the food system through innovations such as machine vision, artificial intelligence, and non-destructive assessment techniques. Key research areas include machine vision systems for food analysis, AI and chemometrics for food safety, process analytical technologies, intelligent food design, and big data applications in food processing. He teaches courses such as Introduction to Food Science and Technology (FDST 3000) and Introduction to Artificial Intelligence in Food Systems (FDST 2001). His recent publications (2020-2025) demonstrate a strong focus on hyperspectral imaging and machine learning for food quality and safety assessment, with applications across meat, fruits, nuts, and protein products. The work emphasizes non-destructive, real-time monitoring and the integration of digital technologies like augmented reality and digital twins.

• Food Chemistry
• Flavor Science
• Sensory Analysis
• +۳ مورد دیگر

Imre Blank serves as a Lecturer in the Department of Chemistry and Chemical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences. His research focuses on food chemistry and flavor science, particularly investigating taste-active compounds, aroma perception mechanisms, and sensory evaluation of food products. His recent work explores umami taste perception through EEG-based brain rhythm analysis Computational modeling of taste peptides Multi-omics characterization of odorants in plant-based and traditional foods Mechanistic studies of saltiness enhancement by volatiles His publications emphasize analytical chemistry techniques like LC–MS and GC-IMS for flavor profiling. Current research trends examine the molecular dynamics of odorant release, biosensor development for taste detection, and sustainable flavor production inspired by natural processes. He also investigates the impact of processing conditions on coffee aroma formation and bitterness reduction.

• Machine Learning
• Statistics
• Model-Based Clustering
• +۵ مورد دیگر

Brendan Murphy is a Full Professor in the School of Mathematical Sciences at University College Dublin since 2015, previously holding a Professor role at the same institution (2007-2015) and a Lecturer position at Trinity College Dublin (1999-2007). He is a Principal Investigator at the Insight Centre for Data Analytics and actively works in Machine Learning & Statistics. Research Focus: His work centers on Model-based clustering Mixture models Applications in sports analytics, food science, microbiome studies, and public health Bayesian statistical methods High-dimensional data analysis Article Trends: Murphy's recent publications (2024-2025) emphasize soft clustering techniques, Bayesian mixture models, and their applications across diverse domains including metabolomics, political science, and oceanography. His work addresses challenges in variable selection, robust classification, and multi-omics integration.

Alina Arseniev-Koehlerمشاهده پروفایل

استادیار

• Computational Social Science
• Cultural Sociology
• Language and Meaning
• +۴ مورد دیگر

Alina Arseniev-Koehler serves as Assistant Professor in the Department of Sociology at Purdue University, where she bridges computational methods with cultural sociology to investigate language, health, and social inequality. Her research clarifies how cultural meaning systems perpetuate disparities through stereotypes related to body weight, disease, and gender. Her academic background includes: B.A. in Sociology, University of Washington (2014) Master's and Ph.D. in Sociology, University of California, Los Angeles (2022) Dr. Arseniev-Koehler's methodological expertise centers on computational text analysis using word embeddings and machine learning to model cultural meaning in large datasets. She examines how language encodes moral judgments about obesity, stigmatizing disease narratives, and gender stereotypes in educational contexts. Her work demonstrates that computational methods require deep theoretical engagement with sociological concepts of meaning. Analysis of her recent publications (2021-2025) reveals three dominant research trajectories: (1) Methodological innovation in word embedding applications for cultural measurement, (2) Health disparity investigations using the All of Us Research Program and NVDRS data, particularly regarding obesity diagnosis and suicide patterns, and (3) Gendered analysis of mental health indicators and educational stereotypes through historical media analysis. No scientific awards were documented in the provided materials. Information regarding graduate student advising and external grant funding was not specified in the available sources. While no dedicated research lab is mentioned, her work consistently leverages interdisciplinary collaborations through access to national datasets like the National Violent Death Reporting System.

Diana Agaمشاهده پروفایل

استاد

• Environmental Analytical Chemistry
• Emerging Contaminants
• PFAS Pollution
• +۳ مورد دیگر

Diana Aga serves as SUNY Distinguished Professor and Henry M. Woodburn Chair in the Department of Chemistry within the University at Buffalo's College of Arts and Sciences. She directs both the Aga Laboratory for Environmental Research & Testing (ALERT) and the UB RENEW Institute, establishing herself as a globally recognized leader in environmental analytical chemistry with over $15 million in research funding since joining UB in 2002. Her research focuses on emerging contaminants including per- and polyfluoroalkyl substances (PFAS), antimicrobial resistance drivers, and climate-intensified pollution. Aga investigates the ecological and human health impacts of "forever chemicals" through advanced analytical techniques, examining contaminant fate in diverse environments from stormwater systems to coral reefs. Her work integrates field studies, laboratory experiments, and computational modeling to address water scarcity and chemical pollution as urgent societal challenges. Analysis of her 2024-2025 publications reveals dominant themes in PFAS biodegradation pathways, real-time detection technologies, and pharmaceutical transport in coastal ecosystems. Her research spans critical interfaces including wastewater-agriculture systems, urban stormwater, and tropical marine environments, with increasing emphasis on climate change interactions and remediation strategies for persistent pollutants. Dr. Aga secured a $3 million NSF grant studying antimicrobial resistance drivers and leads the ALERT laboratory investigating PFAS transport and biodegradation. Her research group develops innovative analytical methods while collaborating internationally, as highlighted by the 2024 Spotlight Symposia Series that convened 200 experts to address planetary health challenges. The Aga Laboratory for Environmental Research & Testing (ALERT) provides critical infrastructure for contaminant analysis, specializing in PFAS detection and biodegradation studies. Under her leadership, the UB RENEW Institute fosters convergent science approaches to environmental sustainability through cross-disciplinary collaborations addressing water security, resource management, and pollution mitigation at global scales.

Andrea Vitalettiمشاهده پروفایل

دانشیار

• Blockchain Technologies
• Internet of Things (IoT)
• Smart Environments
• +۷ مورد دیگر

Andrea Vitaletti is an Associate Professor at Sapienza University of Rome , affiliated with the Department of Computer Engineering, Automatics and Management Antonio Ruberti (DIAG) in the College of Engineering. His academic career spans over two decades of research in networking and algorithmic topics. PhD in Computer Science, Sapienza University of Rome (1998–2002) Assistant Professor (Ricercatore) at Sapienza (2007–2019) Co-founder of spin-offs WSENSE (2012–2019) and WLAB (2002–2016) Research Interests focus on decentralized systems , particularly blockchain technologies , Internet of Things (IoT) , federated machine learning , and data privacy . His work bridges theoretical algorithmic research with practical implementations in wireless sensor networks and distributed ledger systems. Scientific Contributions include over 90 publications, 2 patents, and leadership in the EU FET OPEN project PLEASED. His applied research has been recognized with multiple awards: 2000: Wonderland Contest - Media and Communication 2002: Simagine Innovation Prize 2004: Simagine Bronze Award 2007: Premio Perotto Top Prize 2012: Italiacamp Winner He leads the Wireless Sensor Networks lab at DIAG, supervising 2 PhD students, 1 post-doc, and 5 master students. His teaching portfolio includes courses on IoT, blockchain, cybersecurity, and digital entrepreneurship since 2000.

Damiano Zanotelliمشاهده پروفایل

استاد

• Climate Change and Agriculture
• Sustainable Agriculture
• Water Management in Agriculture
• +۵ مورد دیگر

Damiano Zanotelli serves as Professor at the Free University of Bozen-Bolzano's Faculty of Agricultural, Environmental and Food Sciences, where he conducts pioneering research on climate change adaptation in mountain agriculture. His work bridges fundamental plant science with practical solutions for sustainable food production in Alpine regions, with particular emphasis on water management and fruit tree resilience. His research portfolio centers on: Physiological responses of apple and grapevines to heatwaves and drought stress Evapotranspiration dynamics and precision irrigation systems in mountain orchards Carbon sequestration mechanisms in vineyard and orchard ecosystems Soil-plant-atmosphere interactions under climate extremes Sustainable management of mountain crop ecosystems Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on climate stressors, with 80% addressing water relations during heat events. His methodology combines isotopic tracing, multi-sensor monitoring, and computational modeling to develop practical irrigation strategies. A distinctive trend is the integration of physiological measurements (sap flow, chlorophyll fluorescence) with ecosystem-level carbon flux analysis, particularly in Italian Alpine vineyards and apple orchards. No scientific awards were documented in the available materials. Professor Zanotelli teaches six courses across bachelor's, master's, and doctoral programs including Sustainable Management of the Mountain Environment and Statistical Methods for Agricultural Research. He leads an active research group focused on water management systems for apple cultivation, as highlighted in university news regarding efficient irrigation solutions for South Tyrolean apple production. His team employs field experiments, sensor networks, and modeling approaches to optimize water use while maintaining productivity under climate change.

Adam T Rabinowitzمشاهده پروفایل

دانشیار

• Classical Archaeology
• Archaic Greek history
• Food in antiquity
• +۸ مورد دیگر

Adam T Rabinowitz is an Associate Professor in the Department of Classics and Assistant Director of the Institute of Classical Archaeology at The University of Texas at Austin, where he teaches courses on classical archaeology, digital approaches to antiquity, and ancient Greek culture. His academic journey began with a PhD from the University of Michigan in 2004, where he completed a dissertation on communal wine-drinking in the colonial Greek world. Rabinowitz's research interests span multiple domains of classical scholarship, with particular focus on Greek colonization, cultural interaction, ancient food and drink practices, the archaeology of daily life, and innovative digital approaches to archaeological documentation and publication. His fieldwork experience spans 25 years across Greek, Roman, and Byzantine sites in Italy, England, Israel, Tunisia, and Ukraine, with significant work at the Chersonesos site in Crimea. His scholarly output reveals a clear trajectory from traditional archaeological research toward digital humanities applications, with recent publications emphasizing digital data preservation, spatial visualization of archaeological information, and the challenges of maintaining scholarly authority in digital publishing environments. This evolution reflects his growing investment in developing sustainable digital infrastructure for archaeological research. Fellow of the American Academy in Rome (2002) Rabinowitz has developed several significant digital humanities projects including Pleiades (a spatial gazetteer of ancient places), GeoDia (an interactive spatial timeline of Mediterranean archaeology), Hestia2 (a narrative time-map of Herodotus's Histories), and PeriodO (a gazetteer of scholarly period definitions). His collaborative work with the Texas Advanced Computing Center has focused on developing strategies for the long-term preservation of digital archaeological data, creating a reflexive system that tracks the entire research lifecycle from primary data collection through interpretation. His fieldwork at Chersonesos has particularly informed his interest in sustainable, locally-directed heritage documentation, exemplified by his work implementing Reflectance Transformation Imaging with staff at the National Preserve of Tauric Chersonesos in Ukraine.

• Climate-energy-economic analysis
• Integrated assessment modelling
• Climate stabilisation scenarios
• +۷ مورد دیگر

Daniel Johansson is an Associate Professor at Chalmers University of Technology, working in the Department of Physical Resource Theory. With approximately 20 years of experience in climate-energy-economic analysis and integrated assessment modelling, he has authored around 50 peer-reviewed articles and other research papers. His work bridges climate science, engineering, and economics to address critical environmental challenges. His research spans numerous topics including climate stabilisation scenarios, emission metrics, statistical estimation of climate sensitivity, fuel markets, negative CO 2 emissions, food vs fuel dynamics, climate impacts of aviation, and the role of autonomous vehicles in future transportation systems. Dr. Johansson actively engages with industry, policymakers, and the public through research projects, workshops, presentations, policy reports, and op-eds. His recent publications (2022-2025) reveal a strong focus on practical climate solutions across multiple domains. Key themes include methane policy and valuation, electric vehicle transitions and critical materials, autonomous transportation systems, climate justice and fair emission allocation, integrated assessment modeling, and carbon removal technologies. His work demonstrates a consistent integration of economic, engineering, and climate science perspectives to address complex environmental challenges. Among his notable scientific contributions are analyses of: The social cost of methane and appropriate climate metrics Fair allocation of national greenhouse gas emissions Sweden's electric car transition and critical material requirements Climate impacts of aviation and potential policy measures Investment decisions under carbon price uncertainty Autonomous vehicles and their implications for travel demand and emissions Dr. Johansson has led and coordinated various research activities both within Chalmers and in multinational contexts. He has developed courses on energy and environmental issues for students at Chalmers, the School of Economics at University of Gothenburg, and for employees at General Motors. Notably, during autumn 2015 to spring 2016, he took temporary leave from research to work as a regulatory expert at Volvo Cars. His current research projects (2022-2025) include: Co-created scenarios for the climate transition of passenger cars Climate impact from aviation emissions (CLIMAV) Social cost of aviation contrails Climate impacts of aviation: Policies and climate evaluation of different fuels Systems analysis of biomass and carbon capture across energy sectors MISTRA Carbon Exit Phase 2