Scholar
Taposh Banerjee
Google Scholar ID: iHJcx_0AAAAJ
Assistant Professor, Industrial Engineering, University of Pittsburgh
Citations & Impact
Citations
697
H-index
12
i10-index
17
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Research Experience
- Assistant Professor, Industrial Engineering, University of Pittsburgh
Background
- Research interests include quickest change detection, sequential analysis, stochastic optimal control, machine learning, and high-dimensional statistics. Applications: Arrhythmia detection using ECG data; inference using neuroscience data; event detection using multi-modal data, fault detection in civil infrastructure, and congestion mode detection in traffic data.
Miscellany
- Teaching Interests (courses I have taught): (1) Stochastic Processes (Pitt, grad), (2) Markov Decision Processes (Pitt, grad), (3) Machine Learning (UTSA, grad), (4) Statistical Inference (UTSA grad), (5) Probability and Stochastic Processes (UTSA, undergrad), (6) Probability, Random Variables and Distributions (Pitt, undergrad).
