Data-Driven, Model-Free, Knowledge-Based, Model-Based, and Integrated Methods
Data-Driven, Model-Free, Knowledge-Based, Model-Based, and Integrated Methods
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Applied Mathematics, Statistics, Operations Research, Multidisciplinary Optimization, Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Distributed Learning, Distributed and Parallel Computing, Big Data Analytics
Applied Mathematics, Statistics, Operations Research, Multidisciplinary Optimization, Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Distributed Learning, Distributed and Parallel Computing, Big Data Analytics
System Decomposition- Programming
- Binary-Mixed Integer Linear Programming (BILP-MILP)
- Mixed Integer Nonlinear Programming (MINLP), Mixed Integer Quadratic Programming (MIQP)
- Nonlinear (Constrained Optimization; Quadratic, (Non)Convex Optimization approaches)
- Dynamic Programming
- Linear Programming; Network Analysis- Optimization;
Graph Theory
- Structural Analysis
- Graph Analytics
Distributed Clustering (Page-rank (PPR) approaches, DBSCAN, Offline Distributed Algorithms, Online Streaming Algorithms; Hashing/Heuristic based)
Community Detection- Hierarchical Clustering; Louvain; Distributed Community Detection;
Graph based Interpolation; Large-scale Spectral Clustering;
Game Theory- Pure/Mixed Strategies; Evolutionary GT- Distributed Density Dependent Population Games (DDPG), Distributed Learning, etc.
Reinforcement Learning; MA-DRL; DDPG, etc., Centralized/Decentralized/Distributed Learning/Execution
Neuro Fuzzy- ANFIS, polytopic/high-order Takagi-Sugeno (T-S)
Recurrent Neural Networks (RNN), LSTM, Deep Neural Networks (DNN), Computational Neural Networks (CNN)
Reliability Models, Markov Models, Stochastic-process Models, etc.
Classifiers
Bayesian Methods
Control Systems Methods: System Identification;
Control Systems Methods: System Identification;
Nonlinear Control: Adaptive control (Model Reference Adaptive Control, Self-Tuning Control), Feedback Linearization; Sliding mode control, Model Predictive Control (MPC);
Optimal Control: Discrete time, Continuous time, Model Predictive Control; Linear models, Quadratic performance, Stochastic Optimal Control, Dynamic Programming, Variational Approach, Minima/Maxima principle, Direct/ Indirect methods
Multivariable Control;
Robust Controls;
Intelligent Control; adaptive- fuzzy logic controllers, neural network, learning methodologies
Network Structure and Dynamic Behavior Modeling;
Network Structure and Dynamic Behavior Modeling;
Hierarchical Modeling; Decomposition/Partitioning- Graph theory (dynamic); Distributed Consensus and Agreement Strategies; Connectivity Analysis, Percolation/Contagion, Spreading; Peer-to-Peer Networking; Community Analysis, Large-scale Clustering, Big Data;
* Centralized- Decentralized/Distributed computation
· Diffusion Strategies- Distributed Estimation;
· Trust Management; Smart Contract Security- Privacy;
· Network Risk/(Un)Reliability, Vulnerability, Survivability; Fault Tolerance Capability/Recovery; Resilient Networks
· Critical Infrastucture Protection; Design - Topology Optimization for Survivability;
- power grid and distribution systems; under random failures & cyber-attacks resulting cascading failures;
· Secure IT/Communication; Data/Energy-Flow/Traffic Modeling; Dynamic Resource Allocation- Routing, Congestion Control
· Load Balancing-Redistribution for over-loading and short-loading, Centralized (path rerouting) and Decentralized/Distributed (multiple local optimization - Intelligent rerouting (path/link) algorithms) Computation, Dynamic Switching/ Routing- Capacity Related Reliability
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