Silvia Ferrari
#174,570
Most Influential Person Now
Mechanical and aerospace engineer
Silvia Ferrari's AcademicInfluence.com Rankings
Silvia Ferrariengineering Degrees
Engineering
#8725
World Rank
#10330
Historical Rank
Aerospace Engineering
#194
World Rank
#215
Historical Rank
Mechanical Engineering
#928
World Rank
#1010
Historical Rank
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Engineering
Silvia Ferrari's Degrees
- PhD Mechanical Engineering Stanford University
- Masters Mechanical Engineering Stanford University
- Bachelors Mechanical Engineering University of California, Berkeley
Why Is Silvia Ferrari Influential?
(Suggest an Edit or Addition)According to Wikipedia, 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 and also the director of the Laboratory for Intelligent Systems and Control at the same university.
Silvia Ferrari's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Smooth function approximation using neural networks (2005) (297)
- Information-Driven Sensor Path Planning by Approximate Cell Decomposition (2009) (158)
- Online Adaptive Critic Flight Control (2004) (140)
- A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks (2015) (93)
- Constructing Bayesian networks for criminal profiling from limited data (2008) (75)
- Distributed optimal control for multi-agent trajectory optimization (2014) (73)
- Deep learning feature extraction for target recognition and classification in underwater sonar images (2017) (67)
- An Information Roadmap Method for Robotic Sensor Path Planning (2009) (66)
- A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets (2007) (62)
- An adaptive critic global controller (2002) (62)
- Optimal Control of an Underwater Sensor Network for Cooperative Target Tracking (2009) (52)
- Demining sensor modeling and feature-level fusion by Bayesian networks (2006) (51)
- A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training (2008) (50)
- Spike-based indirect training of a spiking neural network-controlled virtual insect (2013) (49)
- A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations (2014) (46)
- A Hybrid-Adaptive Dynamic Programming Approach for the Model-Free Control of Nonlinear Switched Systems (2016) (44)
- Adaptive Feedback Control by Constrained Approximate Dynamic Programming (2008) (43)
- Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking (2018) (39)
- A Geometric Transversal Approach to Analyzing Track Coverage in Sensor Networks (2008) (38)
- Classical/Neural Synthesis of Nonlinear Control Systems (2000) (38)
- An Information Potential Approach to Integrated Sensor Path Planning and Control (2014) (37)
- Spiking neural network (SNN) control of a flapping insect-scale robot (2016) (35)
- Robust Deployment of Dynamic Sensor Networks for Cooperative Track Detection (2009) (35)
- A Comparison of Information Functions and Search Strategies for Sensor Planning in Target Classification (2012) (32)
- Bayesian Network Modeling of Offender Behavior for Criminal Profiling (2005) (32)
- Distributed Optimal Control of Multiscale Dynamical Systems: A Tutorial (2016) (31)
- Track coverage in sensor networks (2006) (30)
- Information-Driven Search Strategies in the Board Game of CLUE $^{\circit{R}}$ (2009) (30)
- Probabilistic Track Coverage in Cooperative Sensor Networks (2010) (29)
- Emergent bursting and synchrony in computer simulations of neuronal cultures (2012) (24)
- Optimized visibility motion planning for target tracking and localization (2014) (23)
- A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network (2009) (23)
- Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models (2014) (22)
- A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks (2016) (21)
- A Disjunctive Programming Approach for Motion Planning of Mobile Router Networks (2011) (20)
- Algebraic and adaptive learning in neural control systems (2002) (20)
- A potential field approach to finding minimum-exposure paths in wireless sensor networks (2010) (20)
- Bayesian Network Modeling of Acoustic Sensor Measurements (2007) (20)
- A constrained-optimization approach to training neural networks for smooth function approximation and system identification (2008) (20)
- An adaptive artificial potential function approach for geometric sensing (2009) (19)
- Optimal self-triggering for nonlinear systems via Approximate Dynamic Programming (2012) (18)
- A model-based cell decomposition approach to on-line pursuit-evasion path planning and the video game Ms. Pac-Man (2012) (18)
- Modeling of human driver behavior via receding horizon and artificial neural network controllers (2013) (18)
- A Geometric Transversals Approach to Sensor Motion Planning for Tracking Maneuvering Targets (2015) (17)
- Digital implementation of a spiking neural network (SNN) capable of spike-timing-dependent plasticity (STDP) learning (2014) (16)
- A generalized reduced gradient method for the optimal control of multiscale dynamical systems (2013) (16)
- An approximate dynamic programming approach for model-free control of switched systems (2013) (16)
- Comparison of Information-Theoretic Objective Functions for Decision Support in Sensor Systems (2007) (16)
- Digital implementation of a virtual insect trained by spike-timing dependent plasticity (2016) (16)
- Cooperative navigation for heterogeneous autonomous vehicles via approximate dynamic programming (2011) (15)
- Necessary conditions for optimality for a distributed optimal control problem (2010) (15)
- Automatic Pan–Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets (2019) (14)
- A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems (2017) (14)
- An information potential approach for tracking and surveilling multiple moving targets using mobile sensor agents (2011) (14)
- A cell decomposition approach to cooperative path planning and collision avoidance via disjunctive programming (2010) (13)
- A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques (2012) (13)
- Multiobjective Algebraic Synthesis of Neural Control Systems by Implicit Model Following (2009) (12)
- Probabilistic deployment for multiple sensor systems (2005) (12)
- A Geometric Transversals Approach to Analyzing the Probability of Track Detection for Maneuvering Targets (2014) (11)
- Indirect training of a spiking neural network for flight control via spike-timing-dependent synaptic plasticity (2010) (11)
- Cooperative multi-target tracking via hybrid modeling and geometric optimization (2009) (10)
- A Model-Based Approach to Optimizing Ms. Pac-Man Game Strategies in Real Time (2017) (10)
- On the Development of an Intelligent Computer Player for CLUE: a Case Study on Preposterior Decision Analysis (2006) (10)
- Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models (2016) (10)
- An Information Value Function for Nonparametric Gaussian Processes (2014) (9)
- Biologically realizable reward-modulated hebbian training for spiking neural networks (2008) (9)
- A randomized hybrid system approach to coordinated robotic sensor planning (2010) (9)
- Video-guided Camera Control for Target Tracking and Following (2019) (9)
- A Q-learning approach to automated unmanned air vehicle demining (2012) (8)
- Algebraic training of a neural network (2001) (8)
- A comparison of information theoretic functions for tracking maneuvering targets (2012) (8)
- A Q-Learning approach to developing an automated neural computer player for the board game of CLUE® (2008) (8)
- Maintaining robust connectivity in heterogeneous robotic networks (2013) (7)
- Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions (2014) (7)
- Optimal Placement of a Moving Sensor Network for Track Coverage (2007) (7)
- A blade element approach to modeling aerodynamic flight of an insect-scale robot (2017) (6)
- An adaptive spiking neural controller for flapping insect-scale robots (2017) (6)
- FoveaCam: A MEMS Mirror-Enabled Foveating Camera (2020) (6)
- A particle-filter information potential method for tracking and monitoring maneuvering targets using a mobile sensor agent (2014) (6)
- Robust and Reconfigurable Flight Control by Neural Networks (2005) (5)
- Multi-kernel probability distribution regressions (2015) (5)
- Confidence level estimation in multi-target classification problems (2018) (5)
- Q-learning approach to automated unmanned air vehicle (UAV) demining (2010) (5)
- Vision-guided Planning and Control for Autonomous Taxiing via Convolutional Neural Networks (2019) (5)
- Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT) (2021) (5)
- Adaptive Critic Flight Control (2004) (5)
- A model-based approximate λ-policy iteration approach to online evasive path planning and the video game Ms. Pac-Man (2011) (5)
- Intercept tags: enhancing intercept-based systems (2013) (5)
- A probability density function approach to distributed sensors' path planning (2010) (4)
- A cell decomposition approach to online evasive path planning and the video game Ms. Pac-Man (2011) (4)
- The Role of Bounded Fields-of-View and Negative Information in Finite Set Statistics (FISST) (2020) (4)
- A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking (2021) (4)
- Value function approximation for the control of multiscale dynamical systems (2016) (4)
- ML2VR: providing MATLAB users an easy transition to virtual reality and immersive interactivity (2013) (4)
- Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps (2019) (4)
- Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms (2018) (4)
- On the duality of robot and sensor path planning (2013) (3)
- Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems (2019) (3)
- Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems (2020) (3)
- Model-reference adaptive control of chaos in periodically forced dynamical systems (1996) (2)
- A penalty function method for exploratory adaptive-critic neural network control (2009) (2)
- Oriented Pedestrian Social Interaction Modeling and Inference (2020) (2)
- A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments (2009) (2)
- An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments (2008) (2)
- Approximate dynamic programming recurrence relations for a hybrid optimal control problem (2012) (2)
- Flow Parameter Estimation Based on On-board Measurements of Air Vehicle Traversing Turbulent Flows (2020) (2)
- A CONSTRAINED BACKPROPAGATION (CPROP) APPROACH TO FUNCTION APPROXIMATION AND APPROXIMATE DYNAMIC PROGRAMMING (2011) (2)
- A geometric transversals approach to analyzing track coverage of omnidirectional sensor networks for maneuvering targets (2010) (1)
- Exploiting Bounded Sensor Field-of-View Geometry in Tracking and Sensor Planning Problems (2020) (1)
- Random Finite Set Theory and Optimal Control of Large Collaborative Swarms (2018) (1)
- A Kalman-Particle Filter for Estimating the Number and State of Multiple Targets (2012) (1)
- Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets (2020) (1)
- Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors (2019) (1)
- mobile sensor agent A particle-filter information potential method for tracking and monitoring maneuvering targets using a (2012) (1)
- Robust Flight Control via Minimum H∞ Entropy Principle (2018) (1)
- Adaptive Control of Aircraft Adaptive Control of Aircraft (2005) (0)
- Real-Time Communication Control in Decentralized Autonomous Sensor Networks (2022) (0)
- DistributedOptimalControlforMulti-agentTrajectory Optimization (2012) (0)
- NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints (2022) (0)
- A Hybrid of Learning-based and Heuristic Methods for Robot Path Planning (2021) (0)
- A Fast-Tracking-Particle-Inspired Flow-Aided Control Approach for Air Vehicles in Turbulent Flow (2022) (0)
- Guest Editorial Special Issue on Control of Very-Large-Scale Robotic (VLSR) Networks (2021) (0)
- Fast Foveating Cameras for Dense Adaptive Resolution (2021) (0)
- Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering (2022) (0)
- Random Finite Set Theory and Centralized Control of Large Collaborative Swarms (2020) (0)
- InformationValue inNonparametricDirichlet-Process Gaussian-Process ( DPGP ) MixtureModels (2016) (0)
- A Model-Based Approach to Optimizing Ms . Pac-Man Game Strategies in Real Time 1 2 (0)
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What Schools Are Affiliated With Silvia Ferrari?
Silvia Ferrari is affiliated with the following schools:
