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Stochastic Processes and Statistical Mechanics

Stochastic Processes and Statistical Mechanics

20 faculty research Stochastic Processes and Statistical Mechanics on GradNova.

A
Advanced Queuing Theory Analysis
Mobile Ad Hoc Networks
Network Traffic and Congestion Control
Security in Wireless Sensor Networks
+1
Y
Advanced Combinatorial Mathematics
Mathematical Dynamics and Fractals
Point Processes and Geometric Inequalities
Stochastic Processes and Statistical Mechanics
+1
J
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Gene Expression and Cancer Classification
Stochastic Processes and Statistical Mechanics
+1
A
Complex Network Analysis Techniques
COVID-19 Epidemiological Studies
Opinion Dynamics and Social Influence
Poetry Analysis and Criticism
+1
E
Approximate Counting and Sampling
Extremal Graph Theory
High-Dimensional Combinatorial Spaces
Probabilistic Combinatorics
+5
A
Big Data Management and Analytics
Blockchain and Decentralized Technologies
Distributed Data-Intensive Computing
Innovation in Data Education
+5
H
Hanbaek Lyu

Assistant Professor, Department of Mathematics

Computer Science

University of Wisconsin–Madison

Cellular Automata and Applications
Nonlinear Dynamics and Pattern Formation
Sparse and Compressive Sensing Techniques
Stochastic Processes and Statistical Mechanics
+1
A
Complexity and Algorithms in Graphs
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Stochastic Processes and Statistical Mechanics
+1
D
Coagulation and Flocculation Studies
Mathematical and Theoretical Epidemiology and Ecology Models
Mathematical Biology Tumor Growth
Model Reduction and Neural Networks
+1
A
Theory (thy)
Markov Chains and Monte Carlo Methods
Stochastic Processes and Statistical Mechanics
Theoretical and Computational Physics
+2
J
Biosystems & Computational Biology (bio)
Information, Data, Network, and Communication Sciences (idncs)
Theory (thy)
Stochastic Processes and Statistical Mechanics
+4
A
Statistical and Machine Learning Problems on Graphs/complex Networks; Information Theory; Data Compression; Theoretical Machine Learning
Complex Network Analysis Techniques
Algorithms and Data Compression
Stochastic Processes and Statistical Mechanics
+2
E
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Markov Chains and Monte Carlo Methods
Stochastic Processes and Statistical Mechanics
+1
S
Computational Biology
Evolution
Fitness Landscapes
Probability
+8
N
Nima Anari

Associate Professor of Computer Science

Computer Science

Stanford University

Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
Optimization and Search Problems
+1
A
Bayesian Methods and Mixture Models
Markov Chains and Monte Carlo Methods
Stochastic Processes and Statistical Mechanics
Theoretical and Computational Physics
+1
W
Advanced Control Systems Optimization
Limits and Structures in Graph Theory
Markov Chains and Monte Carlo Methods
Stability and Control of Uncertain Systems
+1
Z
Advanced Graph Theory Research
Constraint Satisfaction and Optimization
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
+1
G
Complex Network Analysis Techniques
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Reliability and Maintenance Optimization
+1
A
Advanced Graph Theory Research
Graph Labeling and Dimension Problems
Limits and Structures in Graph Theory
Stochastic Processes and Statistical Mechanics
+2