Comments
Description
Transcript
ernesto mininno - Politecnico di Bari
ERNESTO MININNO FORMAZIONE Dic-11 Apr 07 Ott 03 Set 03 Apr 02 Dottorato in Computer Science (Tesi: Scientific Computing and Optimization) con la Facoltà di Informatica dell’Università of Jyväskylä, Finland. Tesi: “Advanced Optimization Algorithms for Real-World Problems in Control Engineering”. Dottorato in Ingegneria Elettrotecnica con il Dipartimento di Elettrotecnica ed elettronica DEE del Politecnico di Bari Tesi: “Stochastic search optimization methods for embedded control systems” Titolo professionale di Ingegnere Master In Ricerca Industriale dell’ITIA CNR, Consiglio Nazionale delle Ricerche, Milano Laurea in Ingegneria Elettrica presso il Politecnico di Bari. Tesi: “Optimization and control of electric drives”. Voto 110/110 e lode ESPERIENZE PROFESSIONALI Feb 11- Oggi CEO e CO-Founder di Cyber Dyne srl. Cyber Dyne è una compagnia di software e di ingegneria dedita all’applicazione di tecniche di Computational Intelligence alla risoluzione di problemi industriali. Il team ha una lunga esperienza in applicazioni industriali di Swarm Intelligence, Evolutionary and Memetic Algorithms per ottimizzazione multi-objective. Gen 11-Dic 13 Ricercatore Post-doc con l’Accademia delle Scienze di Finlandia, presso il Dipartimento di Mathematical Information Technology, University of Jyväskylä, Finland. Progetto di ricerca dal titolo: “From algorithmic design to software implementation: a novel optimization platform”. Decision n. 140487. Mag 09-Dic 10 Ricercatore Post-doc con il Dipartmento di Mathematica e Informatica MIT, università di Jÿvaskÿla. Project Manager e leader tecnico in Sintesi-scpa (spinoff di ITIA-CNR), Bari, Italy. Leader di un team di sviluppo di dieci ingegneri. Co autore della piattaforma di controllo software Orchestra Engine. Studente di dottorato presso il Politecnico di Bari. Autore di un sistema di identificazione automatico di parametri elettrici di motori. Nov 03-Apr 09 Feb 04-Jan 07 Gen 04-Dic 04 ESPERIENZE DI INSEGNAMENTO Organizzazione del corso Ott 12 Ott 12 Oct 11 Mar 07-July 07 Sistemi in tempo reale con applicazioni alla robotica (TIES 640), University of Jyväskylä (3 CFU) Introduzione alla Robotica (TIEA 343), University of Jyväskylä. (3 CFU) Sistemi in tempo reale con applicazioni alla robotica (TIES 640), University of Jyväskylä (3 CFU) Controlli Automatici, Politecnico di Bari, Italy. (9 CFU) Supervisione e correlazione di tesi e dottorandi 2011 2007 2007 2007 2005 ATTIVITÀ DI RICERCA Dottorando, Giovanni Iacca, Università di Jyväskylä. Addottorato nel dicembre 2011 Correlatore di tesi specialistica in Ing. Informatica dal titolo “Staubli robot realtime control with User Datagram Protocol”, Giovanni Iacca, Politecnico di Bari. Correlatore di tesi specialistica in Ing. Informatica dal titolo “Control of Staubli robot using optimization algorithms”, Antonio Altomare, Politecnico di Bari Correlatore di tesi specialistica in Ing. Elettrica dal titolo “Compact genetic Algorithms for electric drives”, Erika Lino, Politecnico di Bari. Correlatore di tesi specialistica in Ing. Informatica dal titolo “Vision control of a robot manipulator”, Dario Ancora, Politecnico di Bari. Comitati scientifici Jul 11 Jul 10 Jul 10 Apr 10 Società scientifiche Oct 03-today Oct 03-today Symposium on Differential Evolution and Swarm Intelligence, Zakopane, Poland, with J. Brest and M. Clerc 2010 IEEE International Symposium on Industrial Electronics, Member of Technical Commitee, Bari, Italy. 2010 IEEE World Congress on Computational Intelligence, Member of Special Session Committee on Memetic Algorithms, Barcelona, Spain 7th Europ. Works. on Evolutionary Algorithms in Stochastic and Dynamic Environments, Istanbul, Turkey Membro IEEE CIS Membro IEEE Reviewer di riviste scientifiche Memetic Computing Journal, Springer Trans. On Evolutionary Computation, IEEE. System man and Cybernetics Part. B and C, IEEE. Progetti finanaziati vinti Jan 2011 Principi Attivi 2010, “L’ottimo Fuggente”, Regione Puglia. Italia. 25000€. Sept 2010 Post doc Accademico, Academia di Finlandia, progetto “Algorithmic Design Issues in Memetic Computing”, valore 298.028€, Primo ricercatore, decisione n. 140487 Visite internazionali Jan 11 University of Singapore, Singapore, Ricercatore in visita Jan 10 University of Singapore, Singapore, Ricercatore in visita Oct 03 Studente ricercatore in visita presso ESA-ESTEC in Noordwijk, Olanda. Controllo ridondante per progetto EUROBOT. Ricercatore in visita presso PRIMA INDUSTRIE Torino-Italy. Apr 03 INTERESSI DI RICERCA Compact genetic Algorithms, Differential Evolution, Evolutionary Optimization in the presence of Uncertainties, Application of meta heuristic methods to electric drives control and robotics. BREVETTI 2004 LINGUE Italian English CAPACITÀ INFORMATICHE Linguaggi di programmazione Software tecnici "Control algorithms for redundant manipulators", IT-TO2005A000578. European Patent. Estensioni a brevetto internazionale. MADRELINGUA ECCELLENTE. Java, Python, C/C++, Fortran, Matlab GNU/Linux, kernel and Realtime extensions, MATLAB, Realtime workshop embedded coder Articoli su rivista 1. G. IACCA, F. NERI, E. MININNO, Y.S. ONG, M.H. LIM, “Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration”, Information Sciences, Elsevier, Volume 188, pages 17-43, April 2012 2. G. IACCA, F. NERI, E. MININNO, “Noise Analysis Compact Differential Evolution”, International Journal of Systems Science, Taylor and Francis, Volume 43, Issue 7, pages 1248-1267, 2012 3. F. NERI, G. IACCA, E. MININNO, “Disturbed Exploitation Compact Differential Evolution for Limited Memory Optimization Problems”, Information Sciences, Elsevier, Volume 181, Issue 12, pages 2469-2487, June 2011 4. G. IACCA, E. MININNO, F. NERI, “Composed compact Differential Evolution”, Evolutionary Intelligence, Springer, Volume 4, Issue 1, pages 17-29, March 2011 5. E. MININNO, F. NERI, F. CUPERTINO, D. NASO, “Compact Differential Evolution”, IEEE Transactions on Evolutionary Computation, Volume 15, Issue 1, pages 32-54, February 2011. 6. E. Mininno, F. Neri, “A Memetic Differential Evolution Approach in Noisy Optimization”, Memetic Computing Journal, Springer, Volume 2, Issue 2, pages 111-135, June 2010 7. F. Neri, E. Mininno, “Memetic Compact Differential Evolution for Cartesian Robot Control”, IEEE Computational Intelligence Magazine, Volume 5, Issue 2, pages 54-65, May 2010 8. F. CUPERTINO, D. NASO, E. MININNO, and B. TURCHIANO “Sliding mode control with double boundary layer for robust compensation of payload mass and friction in linear motors”, IEEE Transactions on Industry Applications, Vol. 45, No 5, pp. 1688–1696, 2009. 9. E. MININNO, F. CUPERTINO, D. NASO: “Real-valued compact genetic algorithms for embedded microcontroller optimization”, IEEE Trans. on Evolutionary Computation Vol. 12, No 2, 2008, pp.203-219. 10. F. CUPERTINO, E. MININNO, D. NASO, B. TURCHIANO, and L. SALVATORE: “On-line Genetic Design of AntiWindup Unstructured Controllers for Electric Drives with Variable Load”, IEEE Trans. on Evolutionary Computation Vol. 8, No 4, 2004, pp.347-364. Libri F. NERI, G. IACCA, E. MININNO, “Compact Optimization”, I. Zelinka, V. Snasel, A. Abraham (Eds.) Handbook of Optimization, Intelligent Systems, Springer, to appear Articoli a conferenza 11. F. CARAFFINI, G. IACCA, F. NERI, E. MININNO, “Three Variants of Three Stage Optimal Memetic Exploration for Handling Non-Separable Fitness Landscapes”, UKCI September 2012, to appear 12. F. CARAFFINI, G. IACCA, F. NERI, E. MININNO, “The Importance of Being Structured: a Comparative Study on Multi Stage Memetic Approaches”, UKCI September 2012, to appear 13. I. POIKOLAINEN, F. NERI, E. MININNO, G. IACCA, M. WEBER, “Shrinking Optimal Three Stage Memetic Exploration”, Proceedings of the Fifth International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012, Bohinj, Slovenia, pages 61-74, May 2012 14. G. IACCA, F. NERI, E. MININNO, “Compact Bacterial Foraging Optimization”, Symposium on Swarm Intelligence and Differential Evolution, Swarm intelligence and Differential Evolution, Lecture Notes in Computer Science, Volume 7269, Springer, pages 84-92, April 2012 15. G. IACCA, F. CARAFFINI, E. MININNO, F. NERI, “Robot Base Disturbance Optimization with Compact Differential Evolution Light”, Lecture Notes in Computer Science, pages 285-294, Springer, April 2012 16. R. MALLIPEDDI, G. IACCA, P. N. SUGANTHAN, F. NERI, E. MININNO, “Ensemble Strategies in Compact Differential Evolution”, Proceedings of the IEEE CEC 2011, pages 1972-1977, July 2011 17.G. IACCA, F. NERI, E. MININNO, “Opposition-Based Learning in Compact Differential Evolution”, EvoApplications 2011, Part I, Lecture Notes in Computer Science, Volume 6624, pages 264-273, Springer, April 2011 18. G. IACCA, R. MALLIPEDDI, E. MININNO, F. NERI, P. N. SUGANTHAN, “Super-fit and Population Size Reduction Mechanisms in Compact Differential Evolution”, Proceedings of IEEE Symposium on Memetic Computing, Paris, France, pages 21-28, April 2011 19. G. IACCA, R. MALLIPEDDI, E. MININNO, F. NERI, P. N. SUGANTHAN, “Global Supervision for Compact Differential Evolution”, Proceedings IEEE Symposium on Differential Evolution, Paris, France, Pages 25-32, April 2011 20. E. MININNO, F. NERI, “Estimation Distribution Differential Evolution”, EVO* 2010, Springer, Apr 2010, Istanbul Turkey, Lecture Notes in Computer Science, 2010, Volume 6024/2010, 522-531 21. E. MININNO, F. NERI, “Noise Analysis Compact Genetic Algortihm”, EVO* 2010, Springer, Apr 2010, Istanbul Turkey, Lecture Notes in Computer Science, 2010, Volume 6024/2010, 602-611 22.F. CUPERTINO, E. MININNO, D. NASO, B. TURCHIANO, L. SALVATORE: “Compact GAs for neural network online training in tubular linear motor control”, Proceedings of CEC 2007, IEEE Congress on Evolutionary Computation, 25-28 Sept. 2007 Singapore, pp.1542 – 1547. 23. F. CUPERTINO, E. MININNO, D. NASO, L. SALVATORE: “A comparison of SPSA method and compact genetic algorithm for the optimization of induction motor position control” , Proceedings of EPE '07 - The 12th European Conference on Power Electronics and Applications, Aalborg, Denmark, September 2007 (proceedings published on CD). 24. F. CUPERTINO, E. MININNO, D. NASO, “A comparative analysis of SPSA algorithms for induction motor adaptive control”, Proc of IEMDC 07, IEEE International Electrical Machines and Drives Conference, Antalya, Turkey, 3-5 May 2007. 25. F. CUPERTINO, E. MININNO, D. NASO, “Compact genetic algorithms for the optimization of induction motor cascaded control”, Proc of IEMDC 07, IEEE International Electrical Machines and Drives Conference, Antalya, Turkey, 3-5 May 2007. 26. F. CUPERTINO, E. MININNO, E. LINO, D. NASO, “Optimization of Position Control of Induction Motors using Compact Genetic Algorithms”, Proceedings of IECON '06 - The 32nd Annual Conference of the IEEE Industrial Electronics Society, Paris, France, 6-10 Nov., 2006. 27. F. CUPERTINO, E. MININNO, D. NASO, B. TURCHIANO: “An experimental implementation of SPSA algorithms for induction motor adaptive control”, Proceedings of SMCals/06, 2006 IEEE Mountain Workshop on Adaptive and Learning Systems, July 26-26 2006, Logan, Utah, USA. 28. F. CUPERTINO, E. MININNO, D. NASO: “Elitist Compact Genetic Algorithms for Induction Motor Self-tuning Control”, Proceedings of WCCI 2006 IEEE World Congress on Computational Intelligence, July 16-21, 2006, Vancouver, Canada. 29. F. CUPERTINO, E. MININNO, L. SALVATORE, B. ZIGMUND: “A Novel Technique to Estimate Rotor Time Constant in Vector Controlled Induction Motor Drives” , Proceedings of EPE '05 - The 11th European Conference on Power Electronics and Applications, Dresda, Germany, September 2005. 30. F. CUPERTINO, V. GIORDANO, E. MININNO, L. SALVATORE: “Application of Supervised and Unsupervised Neural Networks for Broken Rotor Bar Detection in Induction Motors” Proc of IEMDC 05, IEEE International Electrical Machines and Drives Conference, Texas, USA, May 2005. 31. P. ZANCHETTA, M. SUMNER, F. CUPERTINO, M. MARINELLI, E. MININNO: “On-line and Off-line Control Design in Power Electronics and Drives Using Genetic Algorithms”, Proceedings of IAS IEEE Industry Applications Society 39th Annual Meeting, 3-7 Oct. 2004, Seattle, USA. 32. F. CUPERTINO, V. GIORDANO, E. MININNO, D. NASO, B. TURCHIANO, "A neural visual servoing in uncalibrated environments for robotic manipulators", Proc. of SMC 2004, The Hague, The Netherlands, Oct 10-13 2004, pp. 5362-5367. 33. F. CUPERTINO, E. MININNO, D. NASO, B. TURCHIANO, and L. SALVATORE: “On-line Multi-Objective Optimization of Controllers for Electric Drives”, Proc. of ISIE 2004, Ajaccio, France, May 4-7 2004, pp.1435- 1439. 34. F. CUPERTINO, E. MININNO, D. NASO, L. SALVATORE, B. TURCHIANO “On-line Genetic Optimization of Unstructured Controllers for Electric Drives”, Proc. of ISIE 2002, L’Aquila, Italy, July 8-11 2002.