Silvia Ferrari

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Silvia Ferrari
Alma mater
Awards
Scientific career
InstitutionsCornell University
Website

Silvia Ferrari is an Italian-American aerospace engineer. She is John Brancaccio Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University[2] and also the director of the Laboratory for Intelligent Systems and Control (LISC) at the same university.

Education[edit]

Ferrari received her B.S. in Aerospace Engineering from Embry-Riddle Aeronautical University and earned her M.A. and Ph.D. degrees in Mechanical and Aerospace engineering from Princeton University.[3]

Research and career[edit]

Ferrari's research is primarily based on multi-scale adaptive sensor systems.[4] Her research also includes online adaptive critic flight control,[5] and simulations for the beech bonanza fly-by-wire test-bed.[6] She wrote a book called Information-Driven planning[7] and control along with the Thomas A. Wettergren regarding the performance modeling strategies.

Ferrari is currently the director of the laboratory for intelligent systems and controls.[3] Prior to that, she was a professor of mechanical engineering at Duke University.[8] She is the founder and director of NSF Integrative Graduate Education and research trainee-ship.[2] Her teaching interests include optimal control theory, sensor networks, intelligent systems, feedback control of dynamic systems, and multivariable control.  She will be the Institute Director for the Veho Institute for Vehicle Intelligence established at Cornell Tech.[9]

Professor Ferrari’s research interests include Robotics,[10] Theory of computation, Statistics and machine learning, systems and Networking, Neuroscience, Signal and Image Processing, Artificial Intelligence, Sensors and Actuators, Complex Systems, Remote Sensing, Algorithms, Nonlinear dynamics,[11] Information theory, and communications.

Research at Cornell[edit]

Prof. Silvia Ferrari moved to Cornell University and focused on the development of new mathematical models of learning and plasticity uncovered from biological brains,[12] design, and analysis of methods and algorithms for computational intelligence and sensorimotor learning and control. She also developed new methods rooted in machine learning and systems theory to design intelligent autonomous systems that are able to learn and discover new information over time. Her Principal research efforts include the Intelligent systems for criminal profiling,[13] approximate dynamic programming, learning in neural and Bayesian networks,[14] reconfigurable control of aircraft, sensor path planning, and Integrated surveillance systems.

Accomplishments[edit]

She worked on research projects like artificial brains and on the brains of moths with an aim to improve the drone flight for which she has been awarded grants of $2,587,875 and $400,000 respectively.[15] She was also a part of Developing new programming that will make Robobees more autonomous and adaptable to complex environments and her research project on robots development and responding to human gestures.[16] In an effort to win the Popular board game Clue, she along with her team developed a strategy and succeeded in doing so. she Co-led the launch of Veho institute for Vehicle Intelligence along with Cornell engineering.[17]

Awards[edit]

Silvia Ferrari

Ferrari was the recipient of the 2005 Presidential Early Career Award for Scientists and Engineers by the National Science Foundation.[2] Additional awards include the Office of Naval Research Young Investigator Award,[18] international crime analysis association research award,[19] and National Science Foundation Career award.[20] She is a senior member of the IEEE and a past American Society of Mechanical Engineer (ASME) Graduate Teaching Fellow.[21]

TED Talks[edit]

She gave a TED talk regarding the new generation of robots and what they can do.[22] She also spoke about the instruments which are capable of unprecedented vision, hearing, Olfaction and about the active sensors. She also gave a speech on how aquatic mammals like dolphins and whales can communicate with each other underwater, and also about hyperspectral cameras object recognition and emotions of humans all the way from space. Other considerations have included how a hyperspectral camera can be used to monitor an industrial plant, what type of parameters robots use for perception, and should these robots perceive the world as humans do—or will humanity perhaps be better served by having a new and different perspective.

Publications[edit]

  • S. Ferrari, and R.F. Stengel. "Smooth function approximation using neural networks". IEEE Xplore.[23]
  • Silvia Ferrari and Robert F. Stengel. "Online Adaptive Critic Flight Control". Aerospace Research Central.[5]
  • Silvia Ferrari, Rafael Fierro, Brent Perteet, Chenghui CAI, and Kelli Baumgartner. "A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets Using a Mobile Sensor Network". Society for Industrial and Applied Mathematics.[24]
  • S. Ferrari, and A. Vaghi. "Demining sensor modeling and feature-level fusion by Bayesian networks". IEEE Xplore.[25]
  • Silvia Ferrari, and Mark Jensenius. "A Constrained Optimization Approach to Preserving Prior Knowledge during Incremental Training". IEEE Xplore.[26]

References[edit]

  1. ^ "Silvia Ferrari". nsf.gov.
  2. ^ a b c "Silvia Ferrari | Sibley School of Mechanical and Aerospace Engineering". www.mae.cornell.edu. Retrieved 2019-12-18.
  3. ^ a b "Professor Silvia Ferrari | LISC". Retrieved 2019-12-18.
  4. ^ "Multi-scale Adaptive Sensor Systems Silvia Ferrari Mechanical and Aerospace Engineering Cornell University - PDF Free Download". docplayer.net. Retrieved 2019-12-18.
  5. ^ a b Ferrari, Silvia; Stengel, Robert F. (2004-09-01). "Online Adaptive Critic Flight Control". Journal of Guidance, Control, and Dynamics. 27 (5): 777–786. Bibcode:2004JGCD...27..777F. CiteSeerX 10.1.1.136.5021. doi:10.2514/1.12597.
  6. ^ Chandramohan, Rajeev; Steck, James; Rokhsaz, Kamran; Ferrari, Silvia (2007), "Adaptive Critic Flight Control For A General Aviation Aircraft: Simulations For The Beech Bonanza Fly-By-Wire Test Bed", AIAA Infotech@Aerospace 2007 Conference and Exhibit, American Institute of Aeronautics and Astronautics, doi:10.2514/6.2007-2795, hdl:10057/1509, ISBN 978-1-62410-017-8
  7. ^ Ferrari, Silvia, 1973- (2019-06-22). Information-driven planning and control : adaptive management of sensor networks. Wettergren, Thomas Allen. Boca Raton. ISBN 978-1-4987-5030-1. OCLC 957744476.{{cite book}}: CS1 maint: location missing publisher (link) CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)
  8. ^ "Ferrari *02 wins 2006 Presidential Early Career Award". School of Engineering and Applied Science. 2007-01-30. Retrieved 2019-12-18.
  9. ^ "Veho Institute launches, establishes center at Cornell Tech". Cornell Chronicle. Retrieved 2020-01-29.
  10. ^ "Silvia Ferrari Bio – Robotics at Cornell". robotics.cornell.edu. Retrieved 2020-01-29.
  11. ^ Wei, Hongchuan; Lu, Wenjie; Zhu, Pingping; Ferrari, Silvia; Klein, Robert H.; Omidshafiei, Shayegan; How, Jonathan P. (2014-09-01). "Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models". 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 95–102. doi:10.1109/IROS.2014.6942546. ISBN 978-1-4799-6934-0. S2CID 17639943.
  12. ^ "Artificial brains learn to adapt". www.nsf.gov. Retrieved 2020-01-29.
  13. ^ Baumgartner, K.; Ferrari, S.; Palermo, G. (2008-10-01). "Constructing Bayesian networks for criminal profiling from limited data". Knowledge-Based Systems. 21 (7): 563–572. doi:10.1016/j.knosys.2008.03.019. ISSN 0950-7051.
  14. ^ Ferrari, S.; Vaghi, A. (2006-04-01). "Demining sensor modeling and feature-level fusion by Bayesian networks". IEEE Sensors Journal. 6 (2): 471–483. Bibcode:2006ISenJ...6..471F. doi:10.1109/JSEN.2006.870162. ISSN 2379-9153. S2CID 16766705.
  15. ^ "Study explores moth brains to improve drone flight". Cornell Chronicle. Retrieved 2020-01-29.
  16. ^ at 16:58, Richard Priday 15 Dec 2017. "Pest control: Eggheads work to help RoboBees dodge that fly-swatter". www.theregister.co.uk. Retrieved 2020-01-29.{{cite web}}: CS1 maint: numeric names: authors list (link)
  17. ^ Ferrari, Silvia; Cai, Chenghui (2009-06-01). "Information-Driven Search Strategies in the Board Game of CLUE $^\circitR$". IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 39 (3): 607–625. doi:10.1109/TSMCB.2008.2007629. ISSN 1941-0492. PMID 19174352. S2CID 14082713.
  18. ^ "Silvia Ferrari". mAIRsure. Retrieved 2019-12-18.
  19. ^ "Three Duke Faculty Win White House Honors". today.duke.edu. Retrieved 2019-12-18.
  20. ^ Do robots dreams of electric sheep? | Silvia Ferrari | TEDxVerona, retrieved 2019-12-18
  21. ^ "Graduate Teaching Fellowships". www.asme.org. Retrieved 2019-12-18.
  22. ^ Do robots dreams of electric sheep? | Silvia Ferrari | TEDxVerona, retrieved 2020-01-29
  23. ^ Ferrari, S.; Stengel, R.F. (2005-01-01). "Smooth Function Approximation Using Neural Networks". IEEE Transactions on Neural Networks. 16 (1): 24–38. doi:10.1109/TNN.2004.836233. ISSN 1045-9227. PMID 15732387. S2CID 1087262.
  24. ^ Ferrari, Silvia.; Fierro, Rafael.; Perteet, Brent.; Cai, Chenghui.; Baumgartner, Kelli. (2009-01-01). "A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets Using a Mobile Sensor Network". SIAM Journal on Control and Optimization. 48 (1): 292–320. doi:10.1137/07067934X. ISSN 0363-0129. S2CID 691454.
  25. ^ Ferrari, S.; Vaghi, A. (2006-04-01). "Demining sensor modeling and feature-level fusion by Bayesian networks". IEEE Sensors Journal. 6 (2): 471–483. Bibcode:2006ISenJ...6..471F. doi:10.1109/JSEN.2006.870162. ISSN 1530-437X. S2CID 16766705.
  26. ^ Ferrari, S.; Jensenius, M. (2008-06-01). "A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training". IEEE Transactions on Neural Networks. 19 (6): 996–1009. doi:10.1109/TNN.2007.915108. ISSN 1045-9227. PMID 18541500. S2CID 17290193.
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