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About

Sergio Decherchi obtained the "Laurea" degree summa cum laude in Electronic Engineering in 2007 from Genoa University, Italy. Since 2005 he started collaborating with the Department of Biophysical and Electronics Engineering of Genoa University, where he completed a PhD in
Machine Learning and Data Mining in 2010. His main research interests are computational byophisics and computational intelligence tools for drug discovery and virtual screening. S. Decherchi published more than 20 papers in refereed conferences and journals. He is
Member of the IEEE Computational Intelligence Sociecy and reviewer for several IEEE and Elsevier journals and for the conferences IJCNN, ISCAS and NOLTA from IEEE.

Projects

Public Grants:

4) "Delphi Development Project" granted by NIGMS, NIH, Grant number 1R01GM093937-01.

3) Academic Research Grant 2009: "Development of a Circuital Model for SVM Learning".
Granted by University of Genoa

2) Academic Research Grant 2008: "Development of a Circuital Model for SVM Learning".
Granted by University of Genoa

1) "Development of a Clustering Engine for the Job Market Analysis". 2008. Granted by
Regione Liguria.

 

Private Grants and Technology transfer:

3) Development of a Framework for Inference on Semantic Graphs. Granted by Elsag
Datamat. 2010

2) Development of Software Primitves for Elliptic Curves Based Cryptography. Granted
by Ansaldo STS. 2010

1) Development of a Framework for Text Classfication. Granted by Elsag Datamat. 2009

 

 

Selected Publications

Journal papers:

9) S. Decherchi, M. Parodi, S. Ridella: "Learning the mean: a neural network approach", Neurocomputing, Elsevier, 2011.

8) S. Decherchi, P. Gastaldo, R.S. Dahiya, M. Valle, R. Zunino: "Tactile-Data Classification of Contact Materials Using Computational Intelligence", IEEE Transactions on Robotics, 2011.

7) S. Decherchi, P.Gastaldo, R. Zunino "Efficient Approximate Regularized Least Squares by Toeplitz Matrix ", Pattern Recognition Letters, Elsevier,  2010.

6) S. Decherchi, P.Gastaldo, F. Sangiacomo, A. Leoncini, R. Zunino "Operative Assessment of Predicted Generalization Errors on Non-Stationary Distributions in Data-Intensive Applications ", Intelligent Data Analysis, IOS Press,  2010.

5) S. Decherchi, S.Tacconi, J.Redi, F. Sangiacomo, A. Leoncini, R. Zunino "Text Clustering for Digital Forensics Analysis ", Journal of Information Assurance and Security, Special Issue CISIS 2009,  2010.

4) D. Leoncini, S. Decherchi,O.Faggioni P. Gastaldo, M. Soldani, R. Zunino "Linear SVM for Underwater Magnetic Signals Based Port Protection", Journal of Information Assurance and Security, Special Issue CISIS 2009,  2010.

3) S. Decherchi, S. Ridella, P. Gastaldo, D. Anguita, R. Zunino "Using Unsupervised Analysis to Constrain Generalization Bounds for Support Vector Classifiers", IEEE Transactions on Neural Networks,  2010.

2) S. Decherchi, P. Gastaldo, J. Redi, R. Zunino "A Text Clustering Framework for Information Retrieval", Journal of Information Assurance and Security, Special Issue CISIS 2008,  2009.

1) S. Decherchi, P. Gastaldo, M. Parodi, R. Zunino "Low Complexity Linear Circuit Implementation of Support Vector Machine Training", Electronics Letters, 2008.

 

Book chapters:

1) S. Decherchi, P. Gastaldo, R. Zunino "K-Means clustering for Content Based Document Management in Intelligence", in "Advances In Artificial Intelligence for Privacy Protection and Security", Editors: Augusti Solanas and Antoni Martinez Bellesté, World Scientific Publishing, 2009.

 

Conferences papers:

13) S. Decherchi, D. Leoncini, P. Gastaldo, R. Zunino, O. Faggioni, M. Soldani: "Computational Intelligence Methods for Underwater Magnetic-based Protection Systems", IJCNN 2011, San Jose, USA, July 2011.

12) A. Leoncini, F. Sangiacomo, S. Decherchi, P. Gastaldo and R. Zunino: "Semantic Oriented Clustering of Documents". ISNN (3) 2011: 523-529.

11) F. Sangiacomo, A. Leoncini, S. Decherchi, P. Gastaldo, R. Zunino. "SeaLab Advanced Information Retrieval", ICSC 2010, Pittsburgh.

10) S. Decherchi, M. Parodi, S.Ridella. " A Neural Model Approach for Regularization in the Mean Estimation Case", IJCNN 2010, Barcellona.

9) D. Leoncini, S. Decherchi, O. Faggioni, P. Gastaldo, M. Soldani and R. Zunino. "A Preliminary Study on SVM based Analysis of Underwater Magnetic Signals For Port Protection", CISIS 2009, Burgos.

8) S. Decherchi, S. Tacconi, J. Redi, A.Leoncini, F. Sangiacomo and R. Zunino "Text Clustering for Digital Forensics Analysis", CISIS 2009, Burgos.

7) S. Decherchi, P. Gastaldo, M. Parodi. and R. Zunino "Circuit implementation of SVM training" IJCNN 2009, Atlanta.

6) S. Decherchi, J. Redi, P. Gastaldo and R. Zunino "Maximal Discrepancy Bounds for Regularized Classifiers" IJCNN 2009, Atlanta.

5) S. Decherchi, P. Gastaldo, S. Ridella, R. Zunino "Explicit Overall Risk Minimization Transductive Bound" ICNPAA 2008, Genoa.

4) S. Decherchi, P. Gastaldo, J. Redi, R. Zunino "Hypermetric k-Means Clustering for Content-based Document Management" CISIS 2008, Genoa.

3) S. Decherchi, P. Gastaldo, J. Redi, R. Zunino "Non-Stationary Data Mining: the Network Security Issue" ICANN 2008, Prague.

2) P. Gastaldo, G. Parodi, S. Decherchi and R. Zunino "Efficient Implemention of SVM Training on Embedded Electronic Systems" WILF 2007, Genoa.

1) S. Decherchi, G. Parodi, P. Gastaldo and R. Zunino "Embedded Electronics System for Training Support Vector Machine"  IJCNN 2006, Vancouver.

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I numeri di IIT

L’Istituto Italiano di Tecnologia (IIT) è una fondazione di diritto privato - cfr. determinazione Corte dei Conti 23/2015 “IIT è una fondazione da inquadrare fra gli organismi di diritto pubblico con la scelta di un modello di organizzazione di diritto privato per rispondere all’esigenza di assicurare procedure più snelle nella selezione non solo nell’ambito nazionale dei collaboratori, scienziati e ricercatori ”.

IIT è sotto la vigilanza del Ministero dell'Istruzione, dell'Università e della Ricerca e del Ministero dell'Economia e delle Finanze ed è stato istituito con la Legge 326/2003. La Fondazione ha l'obiettivo di promuovere l'eccellenza nella ricerca di base e in quella applicata e di favorire lo sviluppo del sistema economico nazionale. La costruzione dei laboratori iniziata nel 2006 si è conclusa nel 2009.

Lo staff complessivo di IIT conta circa 1440 persone. L’area scientifica è rappresentata da circa l’85% del personale. Il 45% dei ricercatori proviene dall’estero: di questi, il 29% è costituito da stranieri provenienti da oltre 50 Paesi e il 16% da italiani rientrati. Oggi il personale scientifico è composto da circa 60 principal investigators, circa 110 ricercatori e tecnologi di staff, circa 350 post doc, circa 500 studenti di dottorato e borsisti, circa 130 tecnici. Oltre 330 posti su 1400 creati su fondi esterni. Età media 34 anni. 41% donne / 59 % uomini.

Nel 2015 IIT ha ricevuto finanziamenti pubblici per circa 96 milioni di euro (80% del budget), conseguendo fondi esterni per 22 milioni di euro (20% budget) provenienti da 18 progetti europei17 finanziamenti da istituzioni nazionali e internazionali, circa 60 progetti industriali

La produzione di IIT ad oggi vanta circa 6990 pubblicazioni, oltre 130 finanziamenti Europei e 11 ERC, più di 350 domande di brevetto attive, oltre 12 start up costituite e altrettante in fase di lancio. Dal 2009 l’attività scientifica è stata ulteriormente rafforzata con la creazione di dieci centri di ricerca nel territorio nazionale (a Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) e internazionale (MIT ed Harvard negli USA) che, unitamente al Laboratorio Centrale di Genova, sviluppano i programmi di ricerca del piano scientifico 2015-2017.

IIT: the numbers

Istituto Italiano di Tecnologia (IIT) is a public research institute that adopts the organizational model of a private law foundation. IIT is overseen by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero dell'Economia e delle Finanze (the Italian Ministries of Education, Economy and Finance).  The Institute was set up according to Italian law 326/2003 with the objective of promoting excellence in basic and applied research andfostering Italy’s economic development. Construction of the Laboratories started in 2006 and finished in 2009.

IIT has an overall staff of about 1,440 people. The scientific staff covers about 85% of the total. Out of 45% of researchers coming from abroad 29% are foreigners coming from more than 50 countries and 16% are returned Italians. The scientific staff currently consists of approximately 60 Principal Investigators110 researchers and technologists350 post-docs and 500 PhD students and grant holders and 130 technicians. External funding has allowed the creation of more than 330 positions . The average age is 34 and the gender balance proportion  is 41% female against 59% male.

In 2015 IIT received 96 million euros in public funding (accounting for 80% of its budget) and obtained 22 million euros in external funding (accounting for 20% of its budget). External funding comes from 18 European Projects, other 17 national and international competitive projects and approximately 60 industrial projects.

So far IIT accounts for: about 6990 publications, more than 130 European grants and 11 ERC grants, more than 350 patents or patent applications12 up start-ups and as many  which are about to be launched. The Institute’s scientific activity has been further strengthened since 2009 with the establishment of 11 research nodes throughout Italy (Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) and abroad (MIT and Harvard University, USA), which, along with the Genoa-based Central Lab, implement the research programs included in the 2015-2017 Strategic Plan.