1 Curriculum Vitae of Vincenzina (Enza) Messina Personal Details Name and Surname: Vincenzina (Enza) Messina Place and Date of birth: Pisa, Nationality: Italian Permanent Address: Via Cesare Cantu 40, Novedrate (CO), Italy Phone: office mobile Fax: Education December 1994 PhD in "Computational Mathematics and Operations Research", University of Milano, Thesis: "Stochastic Optimization Models and Methods" Supervisor: Prof. A. Gaivoronski. July 1990 "Laurea": BSc (Hons.) in "Computer Science", University of Milan Final Project: Analysis of Sequencing Policies in Manufacturing Systems. Academic Position From January 2012 Full Professor in "Management Sciences and Operations Research", Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy. Responsible of the MIND research Lab (Models and Methods in Decision making) Associate Professor in "Management Sciences and Operations Research", Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy. Jan 1999-Nov2005 Deputy Head of the Department Informatics, Systems and Communication, University of Milano-Bicocca, Italy Assistant Professor in "Management Sciences and Operations Research", Computer Sciences Department, University of Milan, Italy Research fellow at Brunel University, UK, working on a CEE project on "Modelling Uncertainty and Optimization" Research Interests My research activity is mainly devoted to the development of models and methods for decisions under uncertainty. This activity started with a focus on optimization algorithms for stochastic programming models through the study of decomposition methods for large-scale linear programming models. These modelling techniques have been applied to the solution of risk management problems in different domains such as finance, supply chain and environment.
2 More recently, my interest has been devoted to the development of probabilistic models for data analysis. In particular, my research activity addressed the problem of integrating probabilistic reasoning and machine learning models with relational representation. This is motivated by the fact that traditional machine learning models are not consistent with the analysis of heterogeneous and possibly interrelated data. In this area my contribution has been devoted to the development of both static and dynamic models for relational clustering and classification in different application domains such as web mining, system biology, finance, ambient intelligence, e-forensics. Data and Web mining Web document page classification and clustering algorithms based on probabilistic and relational models. Hidden Markov models for web customer profiling using click-stream analysis. Knowledge extraction from semi structured and non structured documents, sentiment and opinion mining on social media. Systems Biology and Analysis of Biological Data Development of relational clustering algorithm for the analysis of biological data. In particular, for discovering relations among gene expression and drug activity patterns and to perform both exploratory data analysis and inference of genetic regulatory networks. Mathematical programming models for analysing metabolic networks. Finance Development of probabilistic models for scenario generation in stochastic programming models. Tracking and forecasting the stochastic volatility through the bayesian estimation of the parameters of a stochastic process with jumps on the base of the discrete observation of prices Ambient Intelligence Image pre-processing and anomaly detection in video-surveillance systems. Development of a relational Bayesian dynamic framework for multi-object tracking and activity recognition with particle filtering based inference. e-forensics Development of classification algorithms based on Support Vector machines for emotion recognition from audio stream data in the judicial domain. Information extraction and summarization from multimedia documents. Other research activities: Risk management and resource allocation Development of evaluation and optimization models for project analysis and risk management through stochastic programming. The focus of the research is on representation of uncertainty, scenario generation and risk analysis. Stochastic models for environmental planning problems under uncertainty have been developed for evaluating environmental projects. In this case, real option models combined with decision analysis and stochastic programming have been used for evaluating possible impact of environmental projects. Large scale linear programming models: - Development and implementation of pre-solving techniques for the reduction and analysis of large scale linear programming problems. - Decomposition techniques for stochastic programming problems. - Optimization algorithms for sales allocation models in the pharmaceutical market.
3 Optimization of Discrete Event Dynamic Systems (DEDS): Application of stochastic programming techniques for the parametric steady state optimization and analysis of Discrete Events Dynamic Systems (DEDSs). RESEARCH and INDUSTRIAL PROJECTS ejrm project (electronic Justice Relationship Management), , fundend by MIUR within the Nationally Operative Program. SMELLER (A monitoring system for real time vehicle emission), funded by Regione Lombardia, H2OLeak project, Water Leaks localization system within water supply networks. Funding Program: POR JUMAS (Judicial Management by Digital Libriaries Semantics), EU project - 7FP, LENVIS (Localised Environmental and health information Services) EU Project 7FP, Probabilistic Models for representing uncertainty in optimal portfolio selection problems PRIN (Research Project of National Interest) , funded by MIUR. TRADE - Tracking RFID-based Agents in distributed Environments. Bando Metadistretti ICT Regione Lombardia, SFIDA-PMI, Soluzioni Informatiche per Filiere, Distretti ed Associazioni di PMI, funded by MIUR FAR-ICT 2004, art. 12 n. 593/2000, Scientific Coordinator for University of Milano Bicocca, PROBO - Innovative Comunication Modes, Proactive Agents for Research of Business Opportunities on the Web. Funded by FAR/MIUR, Scientific Coordinator for University of Milano Bicocca, INSYEME, Integrated Systems for Emergency, strategic project MIUR e-relations Hub, co-funded by MIUR (Italian University and Research Ministry) (FAR), Scientific Coordinator for University of Milano Bicocca, Project FIT Development of an integrated system for 3D images processing, funded by the Productive Activities of the Italian Ministry, Scientific Coordinator for the Research Unit DISCo University of Milano Bicocca, European Project CRAFT, Optimization Service Provider (OSP), Scientific coordinator for the Research Unit of Milano Bicocca, Combining Forecast Methods TXT solutions, Call Plan for sales force allocation, Astra Zeneca Italy, 2004
4 Member of the evaluation committee for the evaluation of research institution-based strategic projects (technology) funded by the Norwegian Research Council. Coordination of Master Courses 2003/2004 and 2004/2005 Director of Masters in Information Technologies for Financial Services funded by FSE (Fondo Sociale Europeo). 2001/2002 and 2002/2003 Director of Masters in Information Technologies for the New Economy funded by FSE (Fondo Sociale Europeo). 1999/2000 Scientific Coordinator for Masters in "Models and Tools for Industrial Production Management funded by Lombardia Regional Council and EU. 1999/2000 Scientific Coordinator for I.F.T.S. course Telematic Tools for Financial Trading funded by FSE (Fondo Sociale Europeo). 1998/1999 Scientific Coordinator for Masters in "Statistical Methods for Data Analysis" funded by FSE (Fondo Sociale Europeo). TEACHING ACTIVITY from Course Leader Statistics for for BSc in Computer Sciences. rom Course Leader Probabilistic Decision Models for Master course in Computer Science.. from Course Leader Computational Models for BSc in Computer Sciences from Course Leader "Operations Research" for BSc in Computer Sciences Course Leader Models for Decision Support Systems for Master course in Computer Science Course Leader Data Base & Statistics for BSc in Biotechnology Course Leader Probabilistic Decision Models for Master course in Computer Science. 2004/ Course Leader "Decision Models for e-commerce" for BSc in Computer Sciences Course Leader "Operations Research and Resource Planning" for BSc in Environmental Sciences Seminars and lectures "Analysis of Financial Systems", for BSc in Computer Sciences, University of Milano Course leader Optimization Models and Methods for financial applications Master course in Information Technologies for Financial Services, - Lectures on e-business markets and Project management for Master in Information Technologies for the New Economy. - Lectures on Project Evaluation for Master in Bioinformatics.
5 Course leader Dynamic Optimization for PhD program in Economic Sciences Course leader Computer Sciences for BSc in Environmental Sciences Course Unit Analysis and Optimization of Financial Systems for I.F.T.S. Masters in Telematic Tools for financial trading. Course leader Project Management for postgraduate course in Material Sciences and industrial application funded by FSE (Fondo Sociale Europeo) Deemed appointable for a lectureship in Mathematics at Brunel University Seminars and Manufacturing System Models for the BSc in "Engineering in Information Sciences and Automation", Politecnico of Milano. Member of the Teaching Program Committee for the BSc and Master Courses in Computer Sciences. Supervisor of several final projects for BSc in "Computer Sciences" and "Mathematics" at the University of Milano and for BSc and Masters in "Computer Sciences", "Mathematics", "Environmental Sciences" and Bioinformatics at the University of Milano-Bicocca. Supervisor of several PhD Theses for the PhD Program in Computational Mathematics and Operations Research, University of Milano, Informations Sciences University of Milano- Bicocca and Bioinformatics University of Sannio. External referee for PhD theses at Brunel University, UK. LIST OF PUBLICATIONS International Journals 1. L. Cattelani, C. E. Manfredotti, E. Messina, A particle filtering approach for tracking an unknown number of objects with dynamic relations, to appear on Journal of Mathematical Models and Algorithms. 2. E. Fersini, E. Messina, F. Archetti: Emotional states in judicial courtrooms: An experimental investigation. Speech Communication 54(1): (2012). 3. Archetti, Giordani, Messina, Mauri, A new clustering approach for learning transcriptional regulatory networks, Int. Journal of Data Mining and Bioinformatics, Vol. 6, No. 3, pp , E. Fersini, E. Messina, F. Archetti, C. Manfredotti, Relational K-Means for Gene Expression Profiles and Drug Activity Pattern Analysis, Int. Journal of Mathematical Modelling and Algorithms, vol. 9, n. 3, pp , E. Fersini, E. Messina, F. Archetti, A probabilistic relational approach for web document clustering, Journal of Information Processing and Management, vol. 46, Issue 2, pag , March G. Lulli, E. Messina, F. Archetti, S. Lanzeni A mathematical model for optimal functional disruption of biochemical networks, Journal of Mathematical Modelling and Algorithms.Volume 9, No 1, A. Agnetis, E. Messina, M. Pranzo Call planning in pharmaceutical sales force management, IMA Journal of Management Mathematics, vol. 21 n. 3, pp , F. Archetti, M. Frigerio, E. Messina, D. Toscani, IKNOS - Inference and Knowledge in Networks of Sensors, to appear on Int. Journal of Sensor Networks, 2009.
6 9. F. Chiti, R. Fantacci, F. Archetti, E. Messina, D. Toscani, An integrated Communications Framework for Context aware Continuous Monitoring with Body Sensor Networks, IEEE Journal on Selected Areas in Communications, Vol.27, No.4, pp , F. Archetti, E. Fersini, E. Messina Enhancing Web Page Classification using Visual Block Analysis, Journal Information Processing and Management, Vol. 44, no 4, p , F. Archetti, S. Lanzeni, E. Messina, Graph Models and Mathematical Programming in Biochemical Networks Analysis and Metabolic Engineering Design, Computers & Mathematics with Applications, Vol. 55, n. 5, pp , E. Messina, D. Toscani Hidden Markov Models for Scenario Generation, IMA Journal of Management Mathematics, Vol. 4, pp , F. Archetti, S. Lanzeni, E. Messina, L. Vanneschi, Genetic Programming for Computational Pharmacokinetics in Drug Discovery and Development, Genetic Programming and Evolvable Machines, vol. 8, no. 4, pp , E. Messina, V. Bosetti, Integrating stochastic programming and decision tree techniques in land conversion problems, Annals of Operations Research, Vol. 142, pp , V.Bosetti, J.M.Conrad, E.Messina, The Value of Flexibility: Preservation, Remediation, or Development for Ginostra? Environmental and Resource Economics, Vol. 29, Issue 2, pp , E. Messina, V. Bosetti, Uncertainty and Option Value in Land Allocation Problems, Annals of Operations Research Vol 124, pp , V. Bosetti, E. Messina, P. Valente, "Optimisation Technologies and Environmental Applications". IMA Journal of Management Mathematics, vol. 13, pp , S.A. Mir Hassani, C. Lucas, E. Messina, G. Mitra, Computational Solution of Capacity Planning Models under Uncertainty, Parallel Computing, Vol. 26, pp , E. Messina, G. Mitra, "Modelling and analysis of multistage stochastic programming problems: a software environment European Journal of Operational Research, Vol. 101, pp , P. Baricelli, C. Lucas, E. Messina, G. Mitra A model for strategic planning under uncertainty, TOP: O.R. in Practice, Vol. 4, No. 2, pp , A. Gaivoronski, E. Messina, A. Sciomachen, A statistical generalized programming algorithm for stochastic optimization problems, Annals of Operations Research, Vol 58, pp , A. Gaivoronski, E. Messina, A. Sciomachen, A stochastic optimization approach for robot scheduling, Annals of Operations Research, Vol. 56, pp , F. Archetti, E. Messina, A. Sciomachen, "A graph theoretical approach to the performance analysis of highly concurrent systems", Journal of Combinatorial, Information and System Science, V.19, Ns.1-2, pp.87-95, E. Messina, A. Sciomachen, "Evaluation of resource allocation policies in a production line using Petri nets", Robotics & Computer-Integrated Manufacturing, V.10, N.6, pp , International Conferenc Proceedings (with review process) 25.D Maccagnola, E Messina, Q Gao, D Gilbert: A Machine Learning Approach for Generating Temporal Logic Descriptions of Complex Model Behaviours, Winter Simulation Conference 2012, accepted for publication. 26.L. Cattelani, C. E. Manfredotti, E Messina: Multiple Object Tracking with Relations. ICPRAM (1) 2012: E. Fersini, E. Messina, A. Leporati: Discovering Gene-Drug Relationships for the Pharmacology of Cancer. IPMU (2) 2012:
7 28.E. Fersini, E. Messina, F. Archetti. Multimedia Summarization in Law Courts: A Clusteringbased Environment for Browsing and Consulting Judicial Folders. In proc. of the 10th Industrial Conference on Data Mining, E. Fersini, E. Messina, F. Archetti. Web page classification: A probabilistic model with relational uncertainty. In Proc. of the 2010 Conference on Information Processing and Management of Uncertainty, E. Fersini, E. Messina, D. Toscani, F. Archetti, M. Cislaghi: Semantics and Machine Learning for Building the Next Generation of Judicial Court Management Systems. KMIS 2010: C. Manfredotti, E. Messina, D.J. Fleet, Relations to improve multi-target tracking in an activity recognition system. Proceedings of the International Conference on Imaging for Crime Detection and Prevention, London, C. Manfredotti, E. Messina, Relational Dynamic Bayesian Networks to Improve Multi-Target Tracking, Lecture Notes in Computer Sciences ACIVS 2009, Vol 5807, pg C. Manfredotti, Enza Messina, D. Fleet, Relations as context to improve multi-target tracking and activity recognition, Workshop on Logic-Based Interpretation of Context: Modelling and Applications, LOG-IC F.Archetti, E. Fersini, I. Giordani, E. Messina, "Relational Clustering and Bayesian Networks for Linking Gene Expression Profiles and Drug Activity Patterns" Bioinformatics and Biomedicine Workshop, BIBMW 2009, pp.20-25, 1-4 Nov F. Archetti, I. Giordani, E. Messina, G. Ogliari, D. Mari, "A comparison of data mining approaches in the categorization of oral anticoagulation patients," Bioinformatics and Biomedicine Workshop, BIBMW 2009, pp.8-13, 1-4 Nov F. Archetti, G. Arosio, E. Fersini, E. Messina, Emotion recognition in judicial domain: a multilayer SVM approach, Lecture Notes in Artificial Intelligence, MLDM 2009: , E. Fersini, E. Messina, F. Archetti, Probabilistic relational models with relational uncertainty: an early study in web page classification, IEEE WI-IAT Workshop, F. Archetti, I Giordani, D. Mari, E. Messina, G. Ogliari, A Systems Biology Approach to oral anticoagulation therapy, Systbiohealth Symposium, F. Archetti, E. Messina, D. Toscani, M. Frigerio, KOINOS - Knowledge from observations and inference in networks of sensors, Proceedings of IASTED International Conference on Sensor Networs, E. Fersini, E. Messina, G. Arosio, F. Archetti, Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain, Proc. ICT4JUSTICE, 1st Int. Conf. on ICT Solutions for Justice, Greece, F. Archetti, E. Fersini, E. Messina, Granular modeling of web document: impact on information retrieval systems, Tenth International Workshop on Web Information and Data Management WIDM S. Lanzeni, E. Messina, F. Archetti, Towards metabolic networks phylogeny using Petri Netbased expansional analysis, BMC Systems Biology F. Archetti, S. Lanzeni, E. Messina, L. Vanneschi "Genetic Programming and other Machine Learning approaches to predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding levels (%PPB) of drugs" Lecture Notes in Computer Sciences., Volume , pag F. Archetti, C. Manfredotti, M. Matteucci, E. Messina and D. G. Sorrenti, Multiple Hypotesis Markov Chains For On-Line Anomaly Detection in Traffic Video Surveillance, Proceedings ICDP 2006 : Imaging for Crime Detection and Prevention, June F.Archetti, C.E. Manfredotti, E. Messina, and D. G. Sorrenti Foreground-to-ghost Discrimination in Single-difference Pre-processing, Lecture Notes in Computer Science: Advanced Concepts for Intelligent Vision Systems, ACIVS 2006,
8 46.F. Archetti, S. Lanzeni, E. Messina, L. Vanneschi, Genetic Programming for Human Oral Availability of Drugs, in: Proceedings of the 8th annual conference on Genetic and Evolutionary Computation, (GECCO 2006), Lecture Note in Computer Science, vol. 4974, pp , F. Archetti, E. Messina, D. Toscani, L. Vanneschi, "Classifying and Counting Vehicles in Traffic Control Applications" Lecture Notes in Computer Science: Applications of Evolutionary Computing, Volume 3907/ F. Archetti, E. Fersini, P. Campanelli, E. Messina, "A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-means" Lecture Notes in Computer Science: Flexible Query Answering Systems, 4027/ F. Archetti, E. Messina, D. Toscani, "UP-DRES User Profiling for a Dynamic REcommendation System", Lecture Notes in Computer Science: Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, Volume 4065/ V. Bosetti, C. Conrad and E. Messina, The value of flexibility, CRENoS Working Paper, Cagliari, October F. Archetti, E. Messina, F. Stella, Modellazione e simulazione del traffico urbano: un approccio basato su agenti autonomi, Proceedings Convegno PFT2, Taormina, November F. Archetti, E. Messina, B. Mishra, F. Stella, (1997) CATS: a Complex Adaptive Traffic Simulator, Proceedings of the IFAC\IFIP\IFORS Symposium on Transportation Systems, Chania, Greece, June 1997, Vol. 3, pp E. Messina, A. Sciomachen Optimal sequencing via structural simulation, Proceedings of the 36th annual Conference Automation 1992, Genova (Italy), November 1992, Vol 3, pp F. Fantauzzi, A. Gaivoronski, E. Messina, Decomposition methods for network optimization problems in the presence of uncertainty, Lecture Notes on Economics and Mathematical Systems: Network Optimization, P. M. Pardalos, D.W.Hearn, W.W. Hager (Eds.), Gainesville, Florida, Vol. 450, pp , (cites 5). 55. A. Gaivoronski, E. Messina, Optimization of stationary behavior of general stochastic discrete event dynamic systems, Proceedings WODES96-International Workshop on Discrete Event Systems, IEEE, pp , Edimburg, U.K., August C. Lucas, E. Messina, G. Mitra, Risk and return analysis of multi-period strategic planning problems, Lecture Notes in Economics and Mathematical Systems: Stochastic Modelling in Innovation Manufacturing, A.H. Christer, S. Osaki, L.C. Thomas (Eds.), Springer-Verlag, Cambridge, pp , (cites 4) 57.F. Archetti, E. Messina, Process flexibility through stochastic optimization: a computational approach, Optimization in Industry, A. Sciomachen editor, John Wiley, Vol. 3, pp , E. Messina, M. Colombo, "Application of Linear Programming reduction procedures to manufacturing models", Intelligent Automation and Soft Computing: Trends in Research, Development and Applications, M. Jamshidi, J. Yuh, C. C. Nguyen and R. Lumia eds., V.2, pp , A. Gaivoronski, E. Messina, Stochastic optimization algorithms for regenerative DEDS, Lecture Notes in Control and Information Sciences: System Modelling and Optimization, J. Henry and J-P. Yvon eds., Springer Verlag, Vol. 197, pp , Monographs 60.F. Archetti, E. Messina, Project Analysis and Risk Management, Progetto Leonardo, Soc. Ed. Esculapio 1998.
9 Editorial Activity Editor for the Special issue on Or and Data Mining for Biological Data, Computers and OR, to appear. Editor for the Special issue on APMOD2004 IMA Journal of Management Mathematics. Referee for several journals among which Annals of Operations Research, European Journal of Operational Research, International Journal of Computer Mathematics, Computers and OR, Operations Research. Awards Best paper Award for the paper Genetic Programming for Human Oral Availability of Drugs, GECCO 2006 (Genenic and Evolutionary Computation Conference), Seattle, Best Paper Award for the paper "UP-DRES User Profiling for a Dynamic REcommendation System", ICDM 2006 (Industrial Conference on Data Mining), Liepzig, 2006.
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Health Informatics Student Handbook Interdisciplinary Graduate Program in Informatics (IGPI) Please see the Interdisciplinary Graduate Program in Informatics Handbook for more information regarding our
CURRICULUM VITAE 1 Igor V. Maslov Contact information 1-24-17-6 Sasazuka, Shibuya-ku Phone: +81 (80) 54863304 Tokyo 151-0073 E-mail: email@example.com Japan Web: http://www.columbia.edu/~ivm3/ Education
Europass Curriculum Vitae Personal information First name(s) / Surname(s) Address(es) Av. República Argentina, 71 E-28500 Madrid (Spain) Telephone(s) (34) 914521100 Fax(es) (34) 914521110 E-mail(s) firstname.lastname@example.org
Interdisciplinary Master s study program in Computer Science and Mathematics Study program cycle: Second cycle study program. Anticipated academic title: Master Engineer in Computer Science and Mathematics.
Course Requirements for the Ph.D., M.S. and Certificate Programs PhD Program The PhD program in the Health Informatics subtrack inherits all course requirements of the Informatics PhD program, that is,
University of Illinois at Chicago 1 Information and Decision Sciences (IDS) Courses IDS 400. Advanced Business Programming Using Java. 0-4 Visual extended business language capabilities, including creating
133 Data Warehousing and Data Mining in Business Applications Eesha Goel CSE Deptt. GZS-PTU Campus, Bathinda. Abstract Information technology is now required in all aspect of our lives that helps in business
Faculty of Automation and Computer Science Eng. LUCIA VĂCARIU PhD THESIS Ontological Communication for Improved Command and Cooperation Of Heterogeneous Mobile Robots Systems ABSTRACT Thesis advisor: Prof.
Institute of Applied Mathematics and Mechanics Telematics Department (under the Central Scientific Research Institute of Robotics and Technical Cybernetics) announces admission to bachelor's and master's
Novel Mining of Cancer via Mutation in Tumor Protein P53 using Quick Propagation Network Ayad. Ghany Ismaeel, and Raghad. Zuhair Yousif Abstract There is multiple databases contain datasets of TP53 gene
Valeria Leggieri Curriculum Vitae Last update: April 2012 Personal data Name and surname Date and place of birth Citizenship E-mail Valeria Leggieri 17 May 1979, Lecce (Italy) Italian email@example.com
taught courses, winter term 2015/16 Arts and Humanities Advanced Course A Practical course (Ü) 2 Basic Course A - Large Group Sessions Practical course (Ü) Basic Course A (Übung) Practical course (Ü) 2
Masters in Human Computer Interaction Programme Requirements Taught Element, and PG Diploma in Human Computer Interaction: 120 credits: IS5101 CS5001 CS5040 CS5041 CS5042 or CS5044 up to 30 credits from
Masters in Advanced Computer Science Programme Requirements Taught Element, and PG Diploma in Advanced Computer Science: 120 credits: IS5101 CS5001 up to 30 credits from CS4100 - CS4450, subject to appropriate
School of Computer Science Computer Science - Honours Level - 2015/6 - August 2015 General degree students wishing to enter 3000- level modules and non- graduating students wishing to enter 3000- level