{"id":16798,"date":"2025-07-03T18:20:13","date_gmt":"2025-07-03T16:20:13","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/comisar\/"},"modified":"2026-04-02T12:34:03","modified_gmt":"2026-04-02T10:34:03","slug":"comisar","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/comisar\/","title":{"rendered":"COMISAR"},"content":{"rendered":"","protected":false},"featured_media":11111,"template":"","meta":{"_acf_changed":false},"gruppo":[],"class_list":["post-16798","projects","type-projects","status-publish","has-post-thumbnail","hentry"],"acf":{"title":"Coltivazione di ceppi microalgali sardi","acronym":"COMISAR","project_uuid":"29c4cd9e-3335-11e8-ae20-506b8da9258c","start_date":"05\/03\/2018","end_date":"25\/09\/2020","funder":"POR FESR SARDEGNA 2014 \u2013 2020 ASSE PRIORITARIO 1 \u201cRICERCA SCIENTIFICA, SVILUPPO TECNOLOGICO E INNOVAZIONE\u201d AZIONE 1.1.4","partners":"\n\n \n \n
Nome<\/th>\n Nazione<\/th>\n Ruolo<\/th>\n <\/tr>\n\n
Centro Interdipartimentale di Ingegneria e Scienze Ambientali<\/a><\/td>\n Italy<\/td>\n Coordinator<\/td>\n <\/tr>\n<\/table>","project_coordinator":[],"proj_website":"","project_status":"Completed","team_members":[{"ID":10055,"post_author":"4","post_date":"2025-06-30 17:25:40","post_date_gmt":"2025-06-30 15:25:40","post_content":"Massimo Pisu is a Senior Researcher and Permanent Project Leader (PPL) in Visual and Data-Intensive Computing (VIDIC) sector of CRS4. He earned with honors his Master Degree in Chemical Engineering from the University of Cagliari (1990) and his PhD from the University of Bologna (1994). Fields of expertise are focused on mathematical modelling and computing simulation of processes at various scale levels for application in chemistry, biology, biotechnology, environment, energy and advanced material sectors. He has been involved in several projects sponsored by the European Community, MIUR, Sardinian Regional Authorities, and by national and international industries. He serves as a reviewer for several international journals in the fields of chemical engineering, biotechnology, and bioengineering. He is coauthor of 3 patents and over 100 publications in international journals and conference proceedings.","post_title":"Massimo Pisu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"massimo-pisu","to_ping":"","pinged":"","post_modified":"2026-04-05 17:13:49","post_modified_gmt":"2026-04-05 15:13:49","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/massimo-pisu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10112,"post_author":"4","post_date":"2025-06-30 17:25:04","post_date_gmt":"2025-06-30 15:25:04","post_content":"Enrico graduated in Physics from the University of Pisa in 1990, with a thesis on hardware and software for the SLD detector at Stanford. He then spent three years developing 2D-3D lattice Gross-Neveu models at the Theoretical Group in the Department of Physics, University of Pisa. In 1994, he joined CRS4, where he began working on parallel algorithms for supercomputing\/HPC and on models for the propagation and inversion of acoustic, elastic, and electromagnetic waves, with applications in geophysics (Agip, Unica) and biomedicine (ultrasound, Esaote).In 2005, he started collaborating with CRS4's Systems Biology group, developing tools for the analysis of complex gene\/protein interaction networks and methodologies for reverse engineering microarray data. In 2008, he worked on data mining tools for constructing force fields for molecular dynamics, applying an original optimization approach adaptable to multiscale biological problems. This research led to a joint international patent on the prediction of molecular properties. In 2009, he contributed to developing an algorithm for haplotyping human mitochondrial DNA, deposited on SourceForge. In 2010, he briefly collaborated with the CRS4 AGCT group on parallelizing genotyping and data selection algorithms.Since 2005, his main interests have centered on computational chemistry and biophysics. In collaboration with the Binaghi Hospital in Cagliari, he developed molecular models of the immune system related to the onset of multiple sclerosis, and with the University of Cagliari, he worked on modeling inflammatory processes and potential drugs for Alzheimer's treatment, as well as on painkillers, medications, and antivirals. More recently, he has focused on designing nanomaterials with biomedical and agri-food applications.Occasionally, he writes books, develops educational e-learning projects in physics, delivers seminars on medical devices, physics, computational modeling, and mathematics, and oversees and reviews ICT research and development projects in Italy and Europe. He has tutored two graduates, mentored a Ph.D. candidate, and served as a co-supervisor for both a master's and a doctoral thesis. Enrico holds a Master's degree in Bioinformatics and a Ph.D. in Biomedical Engineering.General bibliographical metrics and SCOPUS covered publicationsGeneral bibliographical metrics and ORCID covered publicationsHigh Energy Physics metricsHigh Energy Physics publications","post_title":"Enrico Pieroni","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"enrico-pieroni","to_ping":"","pinged":"","post_modified":"2026-04-05 17:13:19","post_modified_gmt":"2026-04-05 15:13:19","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/enrico-pieroni\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9971,"post_author":"4","post_date":"2025-06-30 17:26:32","post_date_gmt":"2025-06-30 15:26:32","post_content":"Maria graduated in Physics in 1991 from the University of Bologna with a thesis in Cosmology on the structure and large-scale motions of the Universe. In 1992 she started working in the parallel computing group of the newly founded CRS4 on the parallelisation of molecular dynamics codes. In April 1994, she was awarded a Marie-Curie FP6 fellowship at the CNRS Laboratoire des Physique des Milieux Ionise (LPMI), Ecole Polytechnique, Palaiseu, France. In 1998, she obtained her PhD in Plasma Physics at the Ecole Doctorale de Troisime Cycle de l'Ecole Polytechnique with a thesis on the theoretical and computational analysis of the motion of charged particles in electromagnetic fields. Since May 1999, she has been an expert researcher in the Fuel Cells area of CRS4, working on molecular dynamics simulations of proton-conducting membranes and the development of a finite volume code for electrochemical systems.In May 2006, she moved to the Bioinformatics group at CRS4, where she worked on protein structure and dynamics. In the same year, she obtained a master's degree in Bionformatics with a thesis on large-scale protein-protein docking. Since the beginning of 2010, she has been a member of the AGCT group at CRS4, where she worked on data analysis for case-control studies on genetic diseases. She currently works as a Senior Researcher in the Simulation&Modelling group at CRS4. Maria is interested in studying the structure and dynamics of proteins and new materials for real cases and through the development of new methodologies and force fields.","post_title":"Maria Valentini","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"maria-valentini","to_ping":"","pinged":"","post_modified":"2026-04-05 17:14:36","post_modified_gmt":"2026-04-05 15:14:36","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/maria-valentini\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10237,"post_author":"4","post_date":"2025-06-30 17:23:18","post_date_gmt":"2025-06-30 15:23:18","post_content":"Dr. Detlef Walter Maria Hofmann is a computational chemist specializing in crystal structure prediction, data mining in crystallography, and machine learning applications in chemistry. His research focuses on developing and applying computational methods, including machine learning algorithms, to predict and understand crystal structures and their properties. He has made significant contributions to the field of crystal structure prediction, participating in and analyzing results from multiple blind tests. His work involves developing force fields, analyzing intermolecular interactions, and predicting phase diagrams using data mining techniques.Dr. Hofmann's expertise extends to applying machine learning techniques like clustering, anomaly detection, and supervised learning to crystallographic data. He explores the use of machine learning on experimental crystal structures to parameterize models of Gibbs energy in computational crystallography. This interdisciplinary approach combines advanced computational methods with data-driven insights to address challenging problems in crystallography.His academic background includes a Dr. rer. nat. in theoretical chemistry from Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg. He has held research and teaching positions at several universities in Germany, including Humboldt-Universit\u00e4t zu Berlin, Goethe University Frankfurt, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, and Freie Universit\u00e4t Berlin. He has also worked at the Fraunhofer-Institut f\u00fcr Algorithmen und Wissenschaftliches Rechnen SCAI and currently works at CRS4 in Pula, Italy. His educational experience also includes studies at the University of Naples Federico II and Sapienza University of Rome. Dr. Hofmann's publications reflect his active engagement in the field, with numerous peer-reviewed articles and contributions to book chapters on topics ranging from crystal structure prediction methods to data mining in crystallography. His work is frequently published in leading journals such as Acta Crystallographica, Journal of Chemical Physics, and Crystal Growth & Design. He is also associated with the FlexCryst project, which focuses on developing a general force field by machine learning on experimental crystal structures.","post_title":"Detlef W. M. Hofmann","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"detlef-w-m-hofmann","to_ping":"","pinged":"","post_modified":"2026-04-05 18:11:23","post_modified_gmt":"2026-04-05 16:11:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/detlef-w-m-hofmann\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\nCOMISAR - CRS4<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.crs4.it\/en\/projects\/comisar\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"COMISAR - CRS4\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.crs4.it\/en\/projects\/comisar\/\" \/>\n<meta property=\"og:site_name\" content=\"CRS4\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-02T10:34:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.crs4.it\/wp-content\/uploads\/COMISAR.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1313\" \/>\n\t<meta property=\"og:image:height\" content=\"650\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.crs4.it\/en\/projects\/comisar\/\",\"url\":\"https:\/\/www.crs4.it\/en\/projects\/comisar\/\",\"name\":\"COMISAR - 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