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Tel: 15820403192

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Address: 深圳市南山区西丽大学城清华校区F栋深远楼402

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  • 个人简历
  • 教学
  • 研究领域
  • 研究成果
  • 奖励荣誉
  • Biography

    Education

    STEP Certificate (Science Technology and Environmental Policy), Humphrey School of Public Affairs, University of Minnesota Twin-Cities, USA, July 2017

    PhD, University of Padova, Italy, (+2 years of graduate research and education at Princeton University), Civil and Environmental Engineering Sciences (Biocomplexity and Ecohydrology), 09/2006-04/2010

    MSc, University of Padova, Italy, (+1 year of graduate education at the Galileian School of Advanced Studies), Civil and Environmental Engineering (Environmental Fluid Dynamics and Hydrology), 09/2004-07/2006

    BSc, University of Padova, Italy, Civil and Environmental Engineering (Environmental and Structural Engineering), 09/2001-09/2004


    Professional Experience

    2021/09-present, bluEco Lab (PI), Institute of Environment and Ecology, Tsinghua SIGS, Tsinghua University, Shenzhen, China

    2017/09-2021/04, Hokkaido University, JP, Associate Professor and Nexus Group (PI), Graduate School of Information Science and Technology and Global Station for Big Data (Bioenvironmental Science Section Lead)                                             

    2018/01-2019/01, University of Technology, Sydney, AU, Adjunct ‘’Key Technology Partnership’’ Associate Professor, Faculty of Engineering and Information Technology and Climate Change Cluster                                

    2013/09-2017/08, University of Minnesota Twin-Cities, US, Assistant Professor, Environmental Health Science and Institute on the Environment                                       

    2010/01-2013/09, University of Florida, Gainesville, US, Research Assistant Professor & Research Scientist, Department of Agricultural and Biological Engineering

    2010/09-2012/08, US Army Corps of Engineering (Environmental Laboratory), US, Research Scientist, Risk and Decision Science Group

    2008/01-2010/01, Princeton University, US, Visiting Graduate Professional Specialist, Ecohydrology Group (Civil and Environmental Engineering)

    2007/09-2009/12, University of Padova (International Center for Hydrology), IT, AquaTerra Fellow/PhD Student Researcher

    Additional Positions

    Research Institute for Humanity and Nature, Kyoto, Affiliated Project-specific Scientist, Sept. 2020-2021;

    International Institute for Applied Systems Analysis, Laxenburg, Austria, Foreign Resident Fellow, Division of Ecosystems Services & Management, Nov. 2014-2018;

    WARREDOC Lab (Water Resources Research and Documentation Center), University of Perugia, Italy, Faculty Affiliate, August 2012-present;

    SMART Solutions/Kykos LLC (ecosystem data science and management start-up originated at the University of Minnesota, Office of Science and Technology Commercialization), President and Chief Science and Technology Officer; November 2015-present;

    Adjunct Associate Professor, Institute on the Environment, and Bioinformatics and Computational Biology Program, University of Minnesota Twin-Cities, Sept 2017-present.


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  • Current Courses

    Eco-environmental and Climate Dynamics (proposed)

    Complex Ecosystem Modeling and Management (proposed)


    Master’s & Ph.D. Advising

    Please feel free to email me with exciting research ideas and join me for cutting-edge and impactful research! 


  • Research Interests

    Biocomplexity (Network/Pattern Analysis and Inference, Collective Dynamics), Ecosystem Dynamics (Biodiversity, Species Interactions, Eco-Environmental Flows), Land Use/Land Cover Change and Habitat Eco-geomorphological Modeling, Ecohydrological Extremes & Climate Impacts, Blue Carbon (Biogeochemical Dynamics), Environmental Microbiome, Aquatic Ecosystems (Riverine and Marine), Ecosystem Health, Multiscale Predictions  and Forecasting, Ecosystem Indicators and Critical Transitions, Ecosystem Monitoring and Data Science, Portfolio Ecosystem Management, Ecological Engineering and Ecosystem Design

    Projects

    Research Output

    (1) MULTITROPHIC: Aquatic microbiome alteration, cascading food-web and biogeochemical dynamics (biodiversity and carbon flux nexus including megavirus-prokaryote-eukaryote balance). The project aims to integrate different discrete and continuous eco-environmental data (with focus on keystone species and their multitrophic connections) for ecosystem health monitoring and quantify the connection between alterations of habitats, biodiversity and carbon fluxes particularly for Blue Carbon coastal ecosystems. This has relevance for optimal ecosystem network bio-monitoring (from edna species detection to landscape water quality measures). Map of biodiversity and carbon sequestration potential are provided at high resolution. Target area: Guangdong/Guangxi/Hainan within a worldwide assessment.

     

    (2) CLIMpact:Hydroclimatologicalextremes and ecosystem impacts (e.g. algal bloom, floods/droughts,and habitat transformation forecasting under systemic pressure composed by sea-level rise, temperature fluctuations and nutrient loads). The project aims to detect the anthropogenically determined change of habitats (LC/LU and ecogeomorphic changes) also through the lenses of biological pattern alterations (i.e., inference of climate signatures on species’ morphological and phenotypic patterns and bioinspired rules of organization). Target area: Guangdong/Guangxi/Hainan within a worldwide assessment.

     

    (3) ECODesign.Eco-environmental flows, systemic risk and ecosystem portfolio restoration (water, habitat, anthropogenic factors and critical species). The project aims to define a science-informed ecosystem portfolio management (i.e., optimal space-time ecological restoration/nature-based solutions including the definition of novel Ecosystem Protection Areas with redefined IUCN red classification of habitats based on food-web topology and keystone species state defining criticality of ecosystems -i.e. proximity to tipping points- to environmental pressure). The project will also map the connection between structural hydrological networks and functional ecological networks for optimal assessment and economic valuation of ecosystem services grounded on biodiversity preservation and environmental quality. Target area: Guangdong/Guangxi/Hainan within a worldwide assessment.

     

    (4) ECOtrack. Ecosystem predictive models and optimal monitoring for species detection and characterization. The project aim to improve probabilistic network- and information-based models for short- and long-term forecasting of ecosystem trajectories over space and time under climate pressure and/or systemic pressure; this includes for instance the integration of Machine Learning models inferring habitat features from satellite images and physics-based macroecological models of species spread on ecological corridors. Models are also used to (1) infer innovative ecological indicators and features of biodiversity on ‘’novel’’ data (e.g. eDNA, audio and video sensor data from UAVs and/or X-Ray micro-computed tomography); (2) guide, digitize and optimize ecological monitoring with target on critical species (keystone and vulnerable/endangered species); and (3) detect environmental indicators of biodiversity (e.g. spectral components of UAV and satellite images) that inform about incipient shifts and long-term trajectories.

     

    (5) ECOhealth. Environmental drivers of ecosystem health (e.g. ecohydrological determinants of species loss, zoonotic pathogens and human risks) and ecosystem impacts ofcompounds of emerging concerns (e.g. microplastic impacts on species and humans).


  • Selected Publications

    [65] Servadio J, Munoz-Zanzi C, Convertino M., (2021) Estimating case fatality risk of severe Yellow Fever cases: Systematic literature review and meta-analysis, BMC Infectious Diseases, IF/citations: 2.87/-, in press &

    [64] Convertino M, Reddy A, Liu Y, Munoz-Zanzi C, (2021), Eco-epidemiological Scaling of Leptospirosis: Vulnerability Mapping and Early Warning Forecasts, Science of the Total Environment, IF/citations: 6.55/-, 10.1016/j.scitotenv.2021.149102 *

    [63] Galbraith E, Convertino M, Li J, Del Rio-Vilas V (2021), In.To. COVID-19 Socio-epidemiological Co-causality, (2021) Scientific Reports, IF/citations: 4/-, in press *

    [62] Jessica R. Deere, Summer Streets, Mark D. Jankowski, Mark Ferrey, Yvette Chenaux-Ibrahim, Matteo Convertino, EJ Isaac, Nicholas B. D. Phelps, Alexander Primus, Joseph L. Servadio, Randall S. Singer, Dominic A. Travis, Seth Moore, Tiffany M. Wolf, (2021), A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase I), Science of the Total Environment, IF/citations: 6.55/1, https://www.sciencedirect.com/science/article/pii/S0048969721010974 &

    [61] Servadio J, Deere J, Mark D. Jankowski, Mark Ferrey, EJ Isaac, Yvette Chenaux-Ibrahim, Alexander Primus, Convertino M, Nicholas B. D. Phelps, Summer Streets, Dominic A. Travis, Seth Moore, Tiffany M. Wolf, (2021), Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II), Science of the Total Environment, IF/citations: 6.55/1, https://www.sciencedirect.com/science/article/pii/S0048969721012559&

    [60] Li and Convertino (2021), Inferring Ecosystem Networks as Information Flows, Scientific Reports, IF/citations: 4/2, https://www.nature.com/articles/s41598-021-86476-9 &*

    [59] Li J, Convertino M, (2021), Temperature Increase Drives Critical Slowing Down of Fish Ecosystems, PLoS ONE, IF/citations: 3.24/-, doi: https://doi.org/10.1101/2021.01.18.427097, in press &*

    [58] Louis Yat Hin Chan, Baoyin Yuan, Matteo Convertino, (2021), COVID-19 Non-Pharmaceutical Intervention Portfolio Effectiveness and Risk Communication Predominance, Scientific Reports, IF/citations: 4/-, https://www.nature.com/articles/s41598-021-88309-1 &*

    [57] Convertino M, 2020, Japan’s pandemic response: there is no one-size-fits-all approach to COVID-19, Policy Forum, Asia and the Pacific Policy Society, IF/citations: -/- https://www.policyforum.net/japans-pandemic-response/?fbclid=IwAR0ALcdMHa8ZkewJsVLZwysV2TEFdEAOiNNBONO8iog1ea_O724bcprb-BM *

    [56] Servadio JL, Gustavo Machado, Julio Alvarez, Francisco Edilson de Ferreira Lima Júnior, Renato Vieira Alves, Matteo Convertino, 2020, Information differences across spatial resolutions and scales for disease surveillance and analysis: The case of Visceral Leishmaniasis in Brazil, PLOS ONE, IF/citations: 3.24/2 &

    [55] Cullen CM, Kawalpreet K Aneja, Sinem Beyhan, Clara E. Cho, Stephen Woloszynek, Matteo Convertino, Sophie J. McCoy, Yanyan Zhang, Matthew Z. Anderson, David Alvarez-Ponce, Ekaterina Smirnova, Lisa Karstens, Pieter C. Dorrestein, Hongzhe Li, Ananya Sen Gupta, Kevin Cheung, Jennifer Gloeckner Powers, Zhengqiao Zhao, and Gail Rosen, 2020, Emerging Priorities for Microbiome Research, Frontiers in Microbiology, IF/citations: 4.07/17

    [54] Deere J, Moore S, Ferrey M, Jankowski MD, Primus A, Convertino M, Servadio JL, Phelps NBD, Hamilton MC, Chenaux-Ibrahim Y, Travis DA, Wolf TM, 2020, Characterization of contaminants of emerging concern in aquatic ecosystems utilized by Minnesota tribal communities, 2020, Science of the Total Environment, IF/citations: 6.55/5  &

    [53] Johansson M et al. (CDC Forecasting Challenge Team) … Convertino M, (2019) An open challenge to advance probabilistic forecasting for Dengue epidemics, PNAS, IF/citations: 9.42/40 https://www.pnas.org/content/116/48/24268

    [52] Convertino M., Annis A., Nardi F., (2019) Information-theoretic portfolio decision model for optimal flood management, Env. Mod. & Software Environmental Modelling & Software, Volume 119, Pages 258-274, IF/citations: 4.56/16, https://doi.org/10.1016/j.envsoft.2019.06.013 *

    [51] Convertino M and Valverde JL, 2019, Toward a Pluralistic Conception of Resilience, Ecological Indicators, IF/citations: 4.96/14, https://www.sciencedirect.com/science/article/abs/pii/S1470160X19304959 *

    [50] Jie Li, Matteo Convertino, 2019, Optimal Microbiome Networks: Macroecology and Criticality, Entropy, IF/citations: 2.42/14, https://www.mdpi.com/1099-4300/21/5/506/htm &*

    [49] Valverde L James Jr, Matteo Convertino, 2019, Insurer Resilience in an Era of Climate Change and Extreme Weather: An Econometric Analysis, IF/citations: 2.0/4, Climate, https://www.mdpi.com/2225-1154/7/4/55 *

    [48] Liu Y, Hoppe B, Shubhayu S, Convertino M, 2019, Degrees and Dollars – Health Costs Associated with Suboptimal Ambient Temperature Exposure, Science of the Total Environment, IF/citations: 6.55/5, https://www.sciencedirect.com/science/article/abs/pii/S0048969719319497 &

    [47] McGowan et al. (CDC Forecasting Challenge Team) … Convertino M, 2019, Collaborative efforts to forecast seasonal influenza in the United States (2015–2016), IF/citations: 4/44, Scientific Reports, https://www.nature.com/articles/s41598-018-36361-9

    [46] Servadio J et al… Convertino M, Demographic Inequities in Health Outcomes and Air Pollution Exposure in the Atlanta Area and its Relationship to Urban Infrastructure, 2018, Journal of Urban Health, IF/citations: 1.96/12, https://link.springer.com/article/10.1007/s11524-018-0318-7 &

    [45] Convertino M, Munoz-Carpena R, Kiker GA, Perz SG, Design of optimal ecosystem monitoring networks: hotspot detection and biodiversity patterns – Erratum, 2017, Stoch Environ Res Risk Assess, IF/citations: 3.38/17, https://link.springer.com/article/10.1007/s00477-017-1422-z *

    [44] Del Rio Vilas V, M Kocaman, H Burkom, R Hopkins, J Berezowski, I Painter, J Gunn, G Montibeller, M Convertino, LC Streichert and PA Honore, A Value-Driven Framework For The Evaluation Of Biosurveillance Systems, ISDS, 2017, IF/citations: -/3, DOI:10.5210/ojphi.v9i1.7665

    [43] Liu Y, Hoppe B, and Convertino M, (2018) Threshold Evaluation of Emergency Risk Communication for Health Risks Related to Hazardous Ambient Temperature, Risk Analysis, IF/citations: 3.14/9, https://onlinelibrary.wiley.com/doi/abs/10.1111/risa.12998 &*

    [42] M Convertino, TR Church, GW Olsen, Y Liu, E Doyle, CR Elcombe, et al., Stochastic Pharmacokinetic-Pharmacodynamic Modeling for Assessing the Systemic Health Risk of Perfluorooctanoate (PFOA) (2018), Toxicological Sciences, IF/citations: 4/22, https://academic.oup.com/toxsci/article/163/1/293/4865972 *

    [41] JL Servadio, M Convertino, (2018) Optimal information networks: Application for data-driven integrated health in populations, Science advances 4 (2), IF/citations: 13.2/44, https://advances.sciencemag.org/content/4/2/e1701088  &*

    [40] E. S. McLamore ; M. Convertino ; John Hondred ; Suprem Das ; J. C. Claussen, et al. Bio-inspired patterned networks (BIPS) for development of wearable/disposable biosensors, (2016), Proc. SPIE, Smart Biomedical and Physiological Sensor Technology XIII, 986309, IF/citations: -/4, http://dx.doi.org/10.1117/12.2223345

    [39] Convertino M., Valverde J. (2017), Probabilistic Analysis of Vessel Speed Restriction Impact on Navigational Safety Accounting for the Right Whale Rule, The Journal of Navigation, IF/citations: 1.9/4, https://www.cambridge.org/core/journals/journal-of-navigation/article/probabilistic-analysis-of-the-impact-of-vessel-speed-restrictions-on-navigational-safety-accounting-for-the-right-whale-rule/BDEB9D64EBD4F5274F3B4203CD77130F *

    [38] Convertino M, Liu Y. (2017), Portfolio decision technology for designing optimal syndemic management strategies, Complex Systems Design and Management (Advances in Intelligent Systems and Computing), IF/citations: 0.63/4, https://link.springer.com/chapter/10.1007/978-3-319-29643-2_17 *

    [37] Reis S, Seto E, Northcross A, Quinn N, Convertino M, Jones RL, Maier H, Schlink U, Vieno M, Wimberley M, Steinle S, (2014) Integrating modelling and smart sensors for coupling environmental and human health, Environmental Modelling and Software, IF/citations: 4.56/107, https://www.sciencedirect.com/science/article/pii/S136481521500167X

    [36] Convertino, M., Munoz-Carpena R.,Kiker G.A., PerzS. (2014), Design of optimal ecosystem monitoring networks: hotspot detection and biodiversity patterns, Stochastic Environmental Research and Risk Assessment, IF/citations: 3.38/17, https://link.springer.com/article/10.1007%2Fs00477-014-0999-8 *

    [35] Homwong N, Douglas Marthaler, Matteo Convertino, Montserrat Torremorell, Meggan Craft, Benjamin Hause, John Deen, (2014) Bayesian estimation of test accuracies for influenza A infection in the absence of a gold standard, Preventive Veterinary Medicine, IF/citations: 2.3/3, https://academicjournals.org/journal/JVMAH/article-full-text-pdf/815E7CC55224 &

    [34] Convertino M., Liu H, Hwang H (2014) Optimal surveillance network design: a value of information model, Complex Adaptive Systems Modeling, IF/citations: 1.5/10, https://link.springer.com/article/10.1186/s40294-014-0006-8 *

    [33] Convertino, M. & Hedberg, C., (2014) Intelli-food: Cyberinfrastructure for real-time outbreak source detection and rapid response, Lecture Notes in Computer Science (series Artificial Intelligence and Lecture Notes in Bioinformatics); 8549 LNCS, Springer-Verlag, p. 181-196 16, IF/citations: 1.1/4, https://link.springer.com/chapter/10.1007/978-3-319-08416-9_19 *

    [32] Convertino M., (2014) Optimal Surveillance System Design for Outbreak Source Detection Maximization: a VoI Model, iEMSs Proceedings, IF/citations: -/10, https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?referer=https://www.google.co.jp/&httpsredir=1&article=1235&context=iemssconference *

    [31] Convertino M, Convertino N, (2014) Sequential Portfolio Decision Model for Epilepsy Death Risk Reduction, iEMSs Proceedings, IF/citations: -/1, https://scholarsarchive.byu.edu/iemssconference/2014/Stream-E/13/ *

    [30] Convertino, M., S. Liang, (2013), Probabilistic Supply Chain Risk Model for Food Safety, Planet@Risk Journal, IF/citations: -/4, https://www.semanticscholar.org/paper/Probabilistic-Supply-Chain-Risk-Model-for-Food-Convertino-Liang/905c63b7296e2ed1ca64d9578abde514c521cb5b  *

    [29] Linkov I, Eisenberg DA, Bates ME, Chang D, Convertino M, Allen JH, Flynn SE, Seager TP, (2013), Measurable Resilience for Actionable Policy, Environ Sci Technol, 47(18):10108-10, IF/citations: 9.03/192, https://pubs.acs.org/doi/abs/10.1021/es403443n

    [28] He C., Convertino M., Feng Z., Zhang S., (2013) Using LIDAR Data to Measure 3D Green Biomass: the Beijing Urban Forest, PLoS ONE, 8(10): e75920, IF/citations: 3.24/26, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0075920

    [27] Convertino, M., C.M. Foran, J.M. Keisler, L. Scarlett, A. LoSchiavo, G.A. Kiker, I. Linkov (2013). Enhanced Adaptive Management: Integrating Decision Analysis, Scenario Analysis and Environmental Modeling for the Everglades, Scientific Reports (Nature Publishing Group), 3, 2922, IF/citations: 4/37, doi:10.1038/srep02922 *

    [26] You YA, Ali M, Kanungo S, Sah B, Manna B, Puri M, Nair GB, Bhattacharya SK, Convertino M, Deen JL, Lopez AL, Wierzba TF, Clemens J, Sur D, (2013). Risk Map of Cholera Infection for Vaccine Deployment: the Eastern Kolkata Case, PLoS ONE, IF/citations: 3.24/26, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0071173

    [25] Convertino, M., F, Troccoli, Catani, F. (2013). Detecting fingerprints of landslide drivers: a MaxEnt model, Journal of Geophysical Research - Earth Surface, IF/citations: 3.56/62 http://onlinelibrary.wiley.com/doi/10.1002/jgrf.20099/abstract *

    [24] Cathey-Linhoss A., Kiker G.A., Aiello-Lammens M., Chu-Agor M.L., Convertino M., Muñoz-Carpena R., Fischer R.A., Linkov I. (2013). Decision Analysis for species preservation under sea level rise, Ecological Modelling, 263, 264Ð272, IF/citations: 2.36/14, http://dx.doi.org/10.1016/j.ecolmodel.2013.05.014

    [23] Zhang Z., Zang R., Convertino M, (2013), Predicting the distribution of potential natural vegetation based on functional groups in a species-rich and fragmented forest region, Plant Ecology and Evolution, 146, 3, pp. 261-271(11), IF/citations: 1.12/8, https://www.ingentaconnect.com/content/botbel/plecevo/2013/00000146/00000003/art00001

    [22] Convertino, M., Valverde, J.L. Jr. (2013). Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management, PLoS ONE, IF/citations: 3.24/54, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0065056 *

    [21] Convertino, M., Simini, F., Catani, F., Linkov, I., Kiker, G.A. (2013). Power-law of Aggregate-size Spectra in Natural Systems, EAI Endorsed Transactions on Complex Systems, IF/citations: -/6, http://eudl.eu/doi/10.4108/trans.cs.1.2.e2 *

    [20] Convertino, M., K. Baker, C. Lu, J.T. Vogel, B. Suedel, I. Linkov (2012). Use of Multi-Criteria Decision Analysis to Guide Metrics Selection for Ecosystem Restorations, Ecological Indicators, IF/citations: 4.96/97, https://www.sciencedirect.com/science/article/abs/pii/S1470160X12003561 *

    [19] Convertino, M., K. Baker, C. Lu, J.T. Vogel, B. Suedel, I. Linkov (2012), Decision evaluation in complex risk network systems (DecernsSDSS) demo and Black River case study, PANGAEA (Data Publisher for Earth & Environmental Science), IF/citations: 4.96/97, http://doi.pangaea.de/10.1594/PANGAEA.776746

    [18] Convertino, M., R. Mangoubi, I. Linkov, N.C. Lowry, M. Desai (2012). Inferring Species-Richness and Species-turnover by Statistical Multiresolution Texture Analysis of Satellite Imagery, PLoS ONE, IF/citations: 3.24/11,  http://dx.plos.org/10.1371/journal.pone.0046616 *

    [17] Wood, M, Kovacs, D, Bostrom, A, Convertino, M, Linkov, I (2012) A Moment of Mental Model Clarity, Response to Jones et al. 2011 (”Mental Models: An Interdisciplinary Synthesis of Theory and Methods”, 2011, 16-1, Ecology and Society) in the special issue ”Mental models in human - environment interactions: Theory, policy implications, and methodological explorations”; Editor: L. Gunderson), Ecology and Society, IF/citations: 4.14/14, http://dx.doi.org/10.5751/ES-05122-170407

    [16] Convertino, M., M.L. Chu-Agor, I. Linkov, G.A. Kiker, R. Muñoz-Carpena (2013). Untangling drivers of species distributions: Global sensitivity and uncertainty analyses of MaxEnt, Environmental Modeling and Software, 51, 296-309, IF/citations: 4.56/119, https://www.sciencedirect.com/science/article/abs/pii/S1364815213002272 *

    [15] Lagerwall, G., G. Kiker, R. Muñoz-Carpena, M. Convertino, A. James, N. Wang (2012). A Spatially- Distributed, Deterministic Approach to Modeling Typha domingensis (Cattail) in an Everglades Wetland, in the special issue ”Wetlands in a Complex World”, Ecological Processes, IF/citations: 2.85/8, https://ecologicalprocesses.springeropen.com/articles/10.1186/2192-1709-1-10 &*

    [14] Convertino, M. (2012). Wetlands in a Complex World, Editorial paper of the special issue ”Wetlands in a Complex World”, Ecological Processes, IF/citations: 2.85/-, https://www.springeropen.com/collections/WCW *

    [13] Convertino, M., M.L. Chu-Agor, R.A. Fischer, G. Kiker, R. Muñoz-Carpena, I. Linkov (2012). Shorebird Patch Dynamics as Fingerprint of Coastline Variation due to Climate Change, in the special issue ”Wetlands in a Complex World”, Ecological Processes, IF/citations: 2.85/10, https://ecologicalprocesses.springeropen.com/articles/10.1186/2192-1709-1-9  *

    [12] Park, J., Seager, TP., Rao, PCS, Convertino, M., Linkov, I. (2012). Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems, Risk Analysis, IF/citations: 3.14/513, https://onlinelibrary.wiley.com/doi/10.1111/j.1539-6924.2012.01885.x

    [11] Convertino, M., R. Muñoz-Carpena, G. Kiker, M.L. Chu-Agor, R. Fischer, I. Linkov (2012). Epistemic Uncertainty in Predicting Shorebird Biogeography Affected by Sea-Level Rise, Ecological Modelling, IF/citations: 2.36/25, http://dx.doi.org/10.1016/j.ecolmodel.2012.04.012 *

    [10] Chu-Agor M.L., R. Muñoz-Carpena, G.A. Kiker, M. Aiello-Lammens, R. Akcakaya, M. Convertino, I. Linkov, (2012). Simulating the fate of Florida Snowy Plovers with sea-level rise: exploring potential population management outcomes with a global uncertainty and sensitivity analysis perspectives, Ecological Modelling, IF/citations: 2.36/37, https://www.sciencedirect.com/science/article/abs/pii/S0304380011005138?via%3Dihub

    [9] Convertino M., F. Catani, A. Troccoli (2011), Maximum Entropy Macroscale Prediction of the Occurrence and Size of Landslides Driven by Climate Change Rainfall Variation, IF/citations: -/-, Geophysical Research Abstract, Vol. 13, EGU 2011-9389 *

    [8] Aiello-Lammens, M., Chu-Agor, M.L., Convertino, M., Fischer, R.A., Linkov, I., Akcakaya, H.R., (2011). The impact of sea-level rise on Snowy Plovers in Florida: Integrated Geophysical, Habitat, and Metapopulation Models, Global Change Biology, IF/citations: 10.86/77,  https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2486.2011.02497.x

    [7] Convertino, M. (2011). Neutral Metacommunity Clustering and SAR: River Basin vs 2-D Landscape Biodiversity Patterns, 222, 11, 1863-1879, Ecological Modelling, IF/citations: 2.36/16, https://www.sciencedirect.com/science/article/abs/pii/S0304380011001384 *

    [6] Convertino, M., J.F. Donoghue, M.L. Chu-Agor, R.A. Fischer, G.A. Kiker, R. Muñoz-Carpena, I. Linkov (2011), Anthropogenic Renourishment Feedback on Shorebirds: a Multispecies Bayesian Perspective, 37, 8, 1184-1194, Ecological Engineering, IF/citations: 3.51/29, https://www.sciencedirect.com/science/article/abs/pii/S092585741100084X *

    [5] Convertino, M., G. Kiker, R. Muñoz-Carpena, R. Fischer, I. Linkov (2011). Scale- and resolution- invariance of suitable geographic range for shorebird metapopulations (Special Section: Complexity of Coupled Human and Natural Systems), Ecological Complexity, IF/citations: 1.93/28, https://www.sciencedirect.com/science/article/abs/pii/S1476945X1100064X *

    [4] Convertino, M., J. Elsner, G. Kiker, R. Muñoz-Carpena, Martinez, C.J., R. Fischer, I. Linkov (2011). Do Tropical Cyclones Shape Shorebird Patterns? Biogeoclimatology of Snowy Plovers in Florida, PLoS ONE, IF/citations: 3.24/28, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0015683  *

    [3] Linkov I., R.A. Fischer, M. Convertino, M. Chu-Agor, G. Kiker, C.J. Martinez, R. Muñoz-Carpena, H.R. Akcakaya, and M. Aiello-Lammens, (2010). The Proof of Sea-level Rise is in the Plover - Climate Change and Shorebirds in Florida, Endangered Species Bullettin (US FWS), IF/citations: -/-, https://www.researchgate.net/publication/257819723_The_Proof_of_Sea-level_Rise_is_in_the_Plover

    [2] Convertino, M., R. Muneepeerakul, S. Azaele, E. Bertuzzo, A. Rinaldo, and I. Rodriguez-Iturbe (2009). On neutral metacommunity patterns of river basins at different scales of aggregation, 45, W08424, Aug., Water Resources Research, IF/citations: 4.36/27, https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2009WR007799  *

    [1] Convertino, M., R. Rigon, A. Maritan, I. Rodriguez-Iturbe, and A. Rinaldo (2007). The probabilistic structure of the distance between tributaries of given size in river networks, 2007WR006176, Water Resources Research, IF/citations: 4.36/16, https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2007WR006176 *


    Books

    Book Chapters

    [C10] Convertino M, Wang H. (2021) Systemic Risk, Envirome and Riskscapes: Algal Bloom Forecasting and Ecosystem Impacts, in ‘’Integrated Environmental Risk Assessment’’ edited by W. Toscano, to appear

    [C9] McLamore ES, M. Convertino, I Ocsoy, DC Vanegas, M Taguchi, Y Rong, C Gomes, P Chaturvedi and J. C. Claussen, Biomimetic Fractal Nanometals As A Transducer Layer in Electrochemical Biosensing, Chapter 2, Semiconductor-Based Sensors, World Scientific, pp. 35-67, 2017, https://doi.org/10.1142/9789813146730_0002

    [C8] Travis D., Convertino M., Shaffer C., Gillespie T., Alpern J., Stauffer W., Robertson C., Kennedy S., Craft M., (2017), Biodiversity and Health: The Application of Complexity Science and Technology Tools to Optimize Health and Environmental Outcomes, in ‘’Beyond One Health: from Recognition to Results”, Editors: Herrmann JA and Johnson-Walker YJ, JWiley Sons

    [C7] Convertino, M., Liang S., Arabi M., Morris, G (2014) Analytics for Health: Design of Cyber-infrastructures for Multiscale Real-time Cholera Outbreak Predictions, BOOK: Healthcare Data Analytics (Wiley Series in Operations Research and Management Science), Editor Yang H.

    [C6] Convertino M, Murcia C, Munoz-Carpena R, (2014) ”Reading the Minds for Quantitative Sustainability: Assessing Stakeholder Mental Models via Probabilistic Text Analysis, BOOK: ”Information, Models, and Sustainability: Policy Informatics in the Age of Big Data and Open Government”, Springer

    [C5] Convertino M., Hedberg C., (2014) Cyberinfrastructure for Real-Time Outbreak Source Detection and Rapid Response, in Smart Health, Springer Lecture Notes in Computer Science (presented at Tsinghua University)

    [C4] W.H. McAnally, P.H. Burgi, R.H. French, J.P. Holland, J.R. Houston, I. Linkov, W.D. Martin, B. Hsieh,B. Miller, J. Thomas, and J.R. Tuttle, D. Calkins, J.E. Sanchez, S.E. Howington, W.R. Curtis, Convertino (2013), Water Resources, Engineering Response to Global Climate Change: Planning a Research and Development Agenda, (editor Robert G. Watts), http://www.taylorandfrancis.com/books/details/9781439888469/, [INVITED]

    [C3] Convertino, M., Muñoz-Carpena R., Troccoli A., Kiker, G., Linkov I., 2011. Epitomes of a bottom- up hydro-geo-climatological analysis and modeling to face sea-level rise in coastal ecosystems, Water Encyclopedia, ”Climate Sustainability: Understanding and Addressing Threats to Essential Resources”, Elsevier book. Book Editor: R.A. Pielke Sr. (editor ”Water Encyclopedia” section: F. Hossain), [INVITED]

    [C2] Convertino, M., G.A. Kiker, M.L. Chu-Agor, R. Muñoz-Carpena, C.J. Martinez, M. Aiello-Lammens, R.H. Akcakaya, R.A. Fischer, I. Linkov, 2010, NATO Book ”Climate Change: Global Change and Local Adaptation”. Editors I. Linkov, and T. Bridges, Integrated Modeling to Mitigate Climate Change Risk due to Sea-Level Rise of Imperiled Shorebirds on Florida Coastal Military Installations, [INVITED]

    [C1] Convertino M., Rinaldo, A. (2007). Figures of Optimal Channel Networks for the book ”The Self-Made Tapestry: Pattern Formation in Nature”, Oxford University Press. Written by Philip Ball, [INVITED]

    Books

    [B2] Convertino M, Weave: Nature’s Art and Engine, 2021, in preparation

    [B1] Convertino M and Valverde JL, Critical Values: Collective Information and Decision Analytics for Ecosystems, 2019, proposed to Springer Series ‘’Risk Governance and Society’’, in preparation


    Patents

    [P3] InTo: Coupled Socio-Epidemiological Forecasting Cyber-infrastructure, Convertino M, Galbraith E, Li J (45, 45, 10% share, respectively), submitted by Hokkaido University, Nov 2020, pending

    [P2] Bio-Inspired Patterned Sensors (BIPS), E. McLamore and M. Convertino, submitted by the University of Florida, 2020, pending

    [P1] Detecting species diversity by image texture analysis; M Convertino and R Mangoubi (submitted by Charles Stark Draper Laboratory Inc), https://patents.google.com/patent/US9858661B2/en, 2018

    Others

    Technical Notes And Reports (Peer-Reviewed)

    [T16] Valverde J. Convertino M, 2018, Strategic Planning in the Service of Public Value Creation: A U.S. Department of Energy Case Study, Office of Economic Impact and Diversity, Department of Energy, https://www.researchgate.net/publication/326531879_Public_Value_Paper

    [T15] Moore Seth, Minnesota Chippewa Tribe Bois Forte Band of Chippewa 1854 Treaty Authority, Tiffany Wolf, Mark Ferrey, Mark Jankowski, Jessica Deere, Yvette Chenaux-Ibrahim, Matteo Convertino, Nicholas Phelps, Alexander Primus, Dominic Travis, ‘’Chemicals of emerging concern in waters, sediments, and subsistence species used by Minnesota Chippewa’’, 2018, USEPA Completion Report, Great Lakes Tribal Initiative

    [T14] Rylie Pelton, Mo Li, Luyi Chen, Convertino M (2016), ”Attributing Cardiovascular and Respiratory Disease Mortality on PM2.5 Exposure: a Complex Systems Approach”, Institute on the Environment, Technical Report

    [T13] Munoz-Zanzi C, Convertino M, Enns E (2014), 2013 Planning for Infectious Diseases, School of Public Health, University of Minnesota Twin-Cities

    [T12] Convertino M, Amanda Aspenson, Rachelle Schoessler Lynn (2014) From City- to Health-scapes: Multiscale Design for Population Health, for Complex Systems Design Management, in occasion of CSDM Asia 2014

    [T11] Nardi F., Convertino M., A Coupled Asset Portfolio-Flood Dynamic Model for Optimal Management Strategies of River Basins, conference paper (Information for Water Systems and Smart Cities, Computing and Control for the Water Industry (CCWI) in Perugia, Italy, 2013), Procedia Engineering

    [T10] Valverde Jr., L.J, Convertino, M., (2012) Asset Management Portfolio Analytics Case Study, Technical Report, Engineering Research and Development Center for U.S. Army Corps of Engineers

    [T9] Convertino, M., Valverde Jr., L.J., Dokukin, D., Bridges, T., Linkov, I., (2012). Decision driven integration of biophysical modeling for assessing species’ threat to climate change, Technical Report for ERDC USACE within the CDR project (Center Directed Research) for Ft. Stewart (USACE)

    [T8] Convertino, M., Foran, C.M., Linkov, I., (2012). Enhanced Adaptive Management: Decision Analysis Tool to Support CERP Restoration and Monitoring Decisions, Technical Report for Cooperative Agreement Jacksonville District - ERDC USACE within the RECOVER program for the Everglades (USACE and South Florida Water Management District)

    [T7] Linkov, I., Fischer, R.A., Kiker, G.A., Muñoz-Carpena, R., Convertino, M., Chu-Agor, M.L., Aiello- Lammens-M., Cathey-Linoss, A., Martinez, C., Akcakaya, H.R, (2012). Integrated Climate Change and Threatened Bird Population Modeling to Mitigate Operations Risks on Florida Military Installations, Final Report SERDP-1699

    [T6] Linkov, I.,Convertino, M., Chu-Agor, M.L., G.A. Kiker, Fischer, R.A., Muñoz-Carpena, R., Martinez, C., Akcakaya, H.R, Aiello-Lammens-M., (2011). Integrated Climate Change and Threatened Bird Population Modeling to Mitigate Operation Risks on Florida Military Installations, Vulnerability Report SERDP-1699

    [T5] Convertino, M., Suedel, B.C., Linkov, I, Vogel, JT, Baker, K, Valverde, JL, Fischenich, JC (2011). An Illustrative Case Study of the Application of Uncertainty Concepts and Methods for Ecosystem Restoration, USACE ERDC Technical Note

    [T4] Suedel, B., Vogel, JT, Linkov, I, McKay, K, Valverde, JL, Convertino, M. (2011). Uncertainty evaluation of restoration projects, USACE ERDC Technical Note

    [T3] Convertino, M., Vogel, J.T., McKay, K, Suedel, B, Foran, CM, Lu, C., Baker, K, Valverde, JL, Linkov, I, (2011). Metric Selection for Restoration Evaluation of Aquatic Ecosystems through MCDA methods, USACE ERDC Technical Note

    [T2] Convertino, M. and Rigon, R. (2007). FluidTurtle routines for the study of Optimal Channel Networks, theory and applications, University of Trento, DICA-CUDAM Technical Book. (user manual) (Optimization and Further Development of Computational Tools for Hydrological and Geomorphological Applications (JGRASS-uDig-GEOTOP), Civil and Environmental Engineering - University Center for the Hydrogeologic Protection of the Mountain Environment (DICA-CUDAM), University of Trento, and HydroloGIS

    [T1] Convertino M., Romano L., Geo-hydrologic characterization of the Apulia karst watersheds draining in the Adriatic sea, Apulia Water Management District, Italy, 2006


  • Awards and Honors

    --2020-2021 SOUSEI Young Investigator Award (Hokkaido University), ~10,000 USD; A non-linear inference model of species interactions was developed and tested at multiple ecosystem scales from microbes up to large species and across trophic scales (在从微生物到大型物种和跨营养级的多个生态系统尺度上开发和测试了物种相互作用的非线性推理模型)

    --2019 FEIT Key Technology Partnership Program & Climate Change Cluster (University of Technology, Sydney), 7000 AUD; Bacteria-inspired collective information-processing models sensitive of environmental heterogeneity were developed and tested numerically and on minidrones (开发了对环境异质性敏感的受细菌启发的集体信息处理模型,并在数字和微型无人机上进行了测试)

    --Hult Prize Hokudai Campus challenge (second place and invitation to the Tokyo regional competition); Team SEA2SEE with students Galbraith E., Li J., Garcon EJ, & Chebbi N, December 2020, https://sea2seejapan.wixsite.com/main;eDNA and water quality big-data were innovatively combined into a computational platform for habitat quality and fish biodiversity predictions with application to the fishery (eDNA和水质大数据创新组合成栖息地质量和鱼类生物多样性预测计算平台,应用于渔业)

    --2016 Faculty in Industry Award, University of Minnesota, Twin-Cities, 25,000 USD; A spatial risk classification of ecosystems for zooneses was developed and applied to predict foodborne pathogens and human-animal spillover (开发了人畜共患病生态系统的空间风险分类,并将其应用于预测食源性病原体和人畜溢出)

    --Top 10 Team Dengue and Influenza Forecasting Challenge, Office of Science and Technology Policy – US White House – and CDC, 2016; High-resolution forecasting of dengue was developed based on eco-hydrological and climatological features with application in Central and South America (基于生态水文和气候特征开发登革热的高分辨率预测,并在中美洲和南美洲应用)

    --Young International Research Scientist Fellowship, Chinese Academy of Sciences, Smithsonian-South China Botanical Garden, Guangzhou, China, ($25,000), 2010

    --Sigma Xi Scientific Society Fellow (nominated), 2015-present

    --Delta Omega Honors Society of Public Health (nominated), 2014-present

    --MnDRIVE Food Systems Faculty Fellow, University of Minnesota, Jan. 2014-2017

    --EB1A USA Permanent Residence for Outstanding Service to the Nation (Environmental Science and Engineering), 2013

    --Ing. Aldo Gini career fellowship for research abroad at Princeton University, Foundation Ing. Aldo Gini, University of Padova, Italy (Euro 5,000), 2008

    --EAP University of California-University of Padova exchange program fellowship, University of California, Berkeley (supporting faculty member: Prof. D.D. Baldocchi), academic year 2006/2007