Bahman Moraffah
Research
My interests span probabilistic inference, stochastic processes, Bayesian inference, Bayesian nonparametrics, Bayesian reinforcement learning, approximate inference (variational and MCMC), statistical signal processing, and information theory. In particular, I am interested in approaches to learning and decision making based on Bayesian inference in machine learning. The core areas of expertise are:
Probabilistic Inference: Bayesian Inference, Bayesian Nonparametrics, Scalable Bayesian Inference, Unsupervised learning, Probabilisitic Graphical Model
Statistical Signal Processing: Multiple Object Tracking, Dynamic Systems, Coexistence, Pattern Recognition, Segmentation
Information Theory: Privacy on High-dimensional Dataset, Source Coding
Health: DNA Structure, Treatment and Prevention of Diseases, EEG Data Analysis, Causal Inference
News
Invited to serve on the program committee for ICLR 2021.
Po-Kan Shih has successfully defended his master's thesis.
Invited to serve on the program committee for NeurIPS 2021.
Invited to serve on the program committee for ICML 2021.
I'll be serving on the program committee ISIT 2021.
Sinjini Mitra has successfully defended her master's thesis.
I'll be giving a talk on Modern Bayesian Inference: Models, Algorithms, and Applications at UCSB.
Our paper "CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions" is now on arXix.
I am selected to be the program chiar for 54th Annual Asilomar Conference on Signals, Systems, and Computers.
Our new paper "METRIC-Bayes: Measurements Estimation for Tracking in High Clutter using Bayesian Nonparametrics" is accepted to 54th Annual Asilomar Conference on Signals, Systems, and Computers.
Invited to serve on the program committee for NeurIPS 2020.
Our new paper on the Bayesian Reinforcement Learning and its application in spectrum sharing is on arXiv.
Our Metric Bayes paper on arXiv, May 2020.
Our new papers on arXiv, April 2020.
EEE 202 has moved online. We are using ZOOM. The link is provided on Canvas, March 2020.
Giving talk at URI on the applications of nonparametric modeling in multiple object tracking, February 2020.
I'll be teaching EEE 202 in Spring 2020.
I'll be giving a talk on feature allocation and paint box at U of H.
I'll be attending NeurIPS, December 2019.
I'll be presenting our works at Asilomar, November 2019.
Two papers are accepted at Asilomar Conference on Signals, Systems, and Computers 2019.
I'll be teaching EEE 554 in Fall 2019.
I'll be teaching EEE/CSE 120 in Fall 2019.
I'll be giving a talk on Bayeisan nonparameteric modeling and multiple object tracking at ASU, July 2019.
I'll be giving a talk on Bayeisan nonparametrics at ASU, June 2019.
Service and leadership
Conference Program Committee
International Conference on Learning Representations (ICLR) (2020-)
Conference on Neural Information Processing Systems (NeruIPS) (2019-)
International Conference on Machine Learning (ICML) (2019-)
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2019-)
IEEE International Symposium on Information Theory (ISIT)(2015-2020)
Asilomar Conference on Signals, Systems, and Computers (2017-2019)
Association for the Advancement of Artificial Intelligence (AAAI) (2017-2018)
International Conference on Bayesian Nonparametrics (BNP)(2017)
International Joint Conference on Artificial Intelligence (IJCAI)(2015)
Journal Reviewer
MDPI (Sensor)
MDPI (Symmetry)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Information Forensics and Security (TIFS)
IEEE Transactions on Signal Processing (TSP)
IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Aerospace and Electronic Systems (TAES)
Journal of Machine Learning Research (JMLR)
Machine Learning Journal (MLJ)
Pattern Recognition (PR)
Journal of Healthcare Informatics Research (JHIR)
Education
Ph.D., Electrical Engineering
M.Sc., Electrical Engineering
B.Sc., Mathematics and Statistics
Affiliations
School of Electrical, Computer, and Energy Engineering, Ariozna State University