Mojtaba Abolfazli Email & Phone Number

Honolulu, Hawaii, United States

Conducting research in machine learning and the intersection of statistical learning and machine learning:- Developing, validating, and testing novel ML methods built on information theory and deep generative models (Flow-based models, VAEs, Diffusion models) for out-of-distribution detection and anomaly detection- Developing methods for analyzing graph-based data, including model selection in graphical models and evaluation metrics for graph generative models- Building a large database of Electrocardiograms (ECGs) records collected in Hawaii to advance AI enabled screening and diagnosis methods for patients with inherited arrhythmia syndromes- Drafting publishable manuscripts and presenting research findings at conferences

Working in an NSF-funded project with contributions to statistical machine learning:- Improving model selection in supervised learning using data compression- Developing methods for the compression of graph structures with application to model selection and anomaly detection in graph-based data- Leveraging cloud computing resources to test and validate models on large and multi-dimensional datasets including images, timeseries, and textual information- Drafting publishable manuscripts and presenting research findings at conferences- Providing mentorship to undergraduate students, guiding them in their research projects

Honolulu, Hawaii, United States

NSF Innovation program (I-Corps), Desert and Pacific Region

Managing a team of engineers on data-driven international projects in power grid:- Developing detailed plans for international projects- Recruiting suitable engineers for the project and assigning tasks- Track project performance and schedule adherence- Ensuring project deliverables are completed and handed over smoothly

Tehran Province, Iran

Leading data-driven projects in power system operation and planning:- Developing advanced regression models for accurate forecasting of power generation and customer energy consumption- Applying stochastic optimization techniques to model electricity supply chain costs- Producing comprehensive reports for clients, presenting findings and insights in a clear and impactful manner

- Mathematical modeling of integration of electric vehicles into grid- Uncertainty management of renewable resources- Instructor of linear system control laboratory- Teaching assistant of circuit analysis laboratory - Teaching assistant of electrical workshop

Doctor Of Philosophy - Phd, Electrical Engineering - Systems And Data Science Track

Dissertatioon: Description Length Analysis for Supervised Learning and Graph Models The goal of this research is to extend description.

Master'S Degree, Electrical And Electronics Engineering

Thesis: Intelligent Energy Injection into Grid by PHEVs The behavior of PHEV owners was modeled in a probabilistic approach to quantify.

Bachelor'S Degree, Electrical And Electronics Engineering

Final Project: Comparative Analysis of Genetic and Quantum Genetic Algorithms A deep analysis of Genetic and Quantum Genetic Algorithms.