Ardeshir Alexander Beheshti

About Me

Hello! My name is Ardeshir Alexander Beheshti. I'm a Computer Science & Geographic Information Sciences post-graduate from San Diego State University and currently a GIS Developer with EDF-RE.

The general focus of my works is the development and impact of renewable energy sources, the implementation of machine learning algorithms in behavioral health studies, and the development of autonmous technology.

During my undergraduate, I was given the opportunity to have worked with Dr. Ming-Hsiang Tsou in the Center of Human Dynamics in the Mobile Age (HDMA) at SDSU, and Dr. Bruce Appleyard at the Active Transportation Research at SDSU, where I focused on providing community-based research and planning services, developed applications, and information diffusion in social/spatial networks.

Education

B.S. Computer Science (2017)

- Department of Engineering, San Diego State University
- Focus: Information Sciences, Web/Application Developer, Social Media Analytics
- Advisor: Dr. Ming-Hsiang Tsou
- References: Dr. Bruce Appleyard | Dr. Atsushi Nara | Dr. Diana Richardson

Project Highlights and Programming Knowledge

+ Software Development - Over 7 years of experience, most heavily using Python.
+ Web Development - Constructed fullstack environments using Django.
+ Social Media API - Have a good deal of knowledge and practice pulling, analyzing and training social media data.
+ GIS Programming - Fluent in any sort of GIS development.
+ Data Science - Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. Managing statistical machine learning and data-related solutions.
+ Python, JavaScript, Go

Research Interests

+ Information diffusion in social network, social media, and cyberspace
+ Geographic information in online social media and social network
+ Geospatial perspectives of personal and public health
+ GPS trajectory and exposure to physical environment
+ Spatio-temporal analysis of big geo-data
+ Community similarity in social network
+ Spatial data infrastructure
+ Geospatial web application + Mobile GIS application
+ Spatial data mining
+ Spatial database
+ Geo-privacy
+ GIScience

Teaching

GEOG 596 : Python Programming (Teaching Assistant) (Spring 2017)

GEOG 584 : Computerized Map Design (Teaching Assitant) (Fall 2016)

GEOG 596 : SQL (Teaching Assistant) (Spring 2016)