My research focuses on Social Network Analysis (SNA) on online communities, especially Free/Libre Open Source Software Development (FLOSSD) communities. I am currently working on a project that focuses on analyzing online communications of online FLOSSD communities, particularly the ones that have forked, to identify common measures in such complex networks. Temporal visualization of these complex communication networks over time is another focus of the project which aims to array disparate information to make sense of the underlying structure and dynamics of such social networks.

Publications

Azarbakht, E. A., “Longitudinal Analysis of Collaboration Graphs of Forked Open Source Software Development Projects Using An Actor-oriented Social Network Analysis,” Proc. Int’l. Network for Social Network Analysis Sunbelt conf., 2016. (To appear)

Azarbakht, E. A., “Longitudinal Analysis of Collaboration Graphs of Forked Open Source Software Development Projects,” Proc. 12th Int’l. Conf. Open Source Systems Doct. Cons., 2016. (To appear)

Azarbakht, A. and C. Jensen, “Drawing the Big Picture: Temporal Visualization of Dynamic Collaboration Graphs of OSS Software Forks,” Proc. 10th Int’l. Conf. Open Source Systems (OSS 2014), San Jose, Costa Rica, 2014.

Azarbakht, A. and C. Jensen, “Temporal Visualization of Dynamic Collaboration Graphs of OSS Software Forks,” Proc. Int’l. Network for Social Network Analysis (INSNA) Sunbelt XXXIV conference, St. Pete Beach, FL, USA, 2014.

Davidson, J, R. Naik, A. Mannan, A. Azarbakht, C. Jensen, “Investigating Older Adults’ Experiences with Contributing to Free/Open Source Software,” Proc. IEEE Symp. Visual Languages and Human-Centric Computing (VL/HCC 2014), Melbourne, Australia, 2014.

Azarbakht, A., “Temporal Visualization of Collaborative Software Development in FOSS Forks,” Proc. IEEE Symp. Visual Languages and Human-Centric Computing (VL/HCC 2014), Melbourne, Australia, 2014.

Azarbakht, A., “Drawing the Big Picture: Analyzing FLOSS Collaboration with Temporal Social Network Analysis,” Proc. 9th Int’l. Symp. Open Collaboration (WikiSym + OpenSym 2013). ACM, 2013.

Azarbakht, A. and C. Jensen, “Analyzing FOSS Collaboration & Social Dynamics with Temporal Social Networks,” Proc. 9th Int’l. Conf. Open Source Systems (OSS 2013) Doctoral Consortium, Koper Capodistria, Slovenia, 2013.

Data Structures (CS 261)
Winter/Fall 2012, Fall/Spring 2013, Spring 2014

Operating Systems (CS 311)
Winter 2013

Usability Engineering (CS 352)
Winter/Summer/Fall 2014, Fall/Winter/Spring/Summer 2015

Information Visualization (CS 419/519)
Spring 2013

Machine Learning (CS534)

Classifiers: Linear regression, logistic regression, batch perceptron, voted perceptron, LDA, Naive Bayes, Support Vector Machines, ...

Code:
https://github.com/azarbakht/voted_perceptron_classifier
https://github.com/azarbakht/batch_perceptron_classifier
https://github.com/azarbakht/linear_regression_with_l2_regularization
https://github.com/azarbakht/naive_bayes_classifier
https://github.com/azarbakht/Kmeans_clustering

Mobile & Cloud Software Development (CS569)

Phone and Android app development with focus on performance; usability; reliability; security; efficient storage of replicated data on the cloud; reliable synchronization of offline data; mobile-optimized user interfaces (UI); I developed a mobile app for Android OS called Corvallis, available on the Google Android market.

https://play.google.com/store/apps/details?id=info.azarbakht.corvallis

HCI meets Software Development: The Case Study (CS569)

How to do a case study, properly and scientifically: An empirical method of understanding humans' use of languages, environments, and practices of software development

Qualitative & Quantitative research methods

Qualitative & Quantitative research methods; Conducting Interview, Survey, Case Study, Experiment. Usability evaluation & User testing, and scientific paper writing. I conducted two in-depth interviews; one semi-structured interview; a 16-hour observational study; four user testings; one heuristic evaluation; transcribed 12 pages of interview records; and wrote three ACM standard papers.

Open Source Software Development (CS519)

History of Free and Open Source Software; licensing and intellectual property; ethics and etiquette; challenges and limitations; real hands-on experience

Theory of Statistics I (ST561)

Notions of probability; expectations of functions of random variables; expectation and variance; moments and moment generating functions; multivariate random variables; joint, marginal and conditional distributions; sampling distributions; convolution; stochastic convergence; order statistics.

Theory of Statistics II (ST562)

Sufficiency; completeness; ancillary; exponential families; location and scale families; point estimation: maximum likelihood, Bayes and unbiased estimators.

Statistical Methods of Data Analysis (ST511)

Graphical, parametric and nonparametric methods for comparing two samples; one-way and two-way analysis of variance; simple linear regression.

Unix Internals: FreeBSD Kernel

The design and implementation of the FreeBSD operating system core: kernel; processes; virtual memory; I/O system; local filesystems; devices; NFS; terminal handling; sockets; network communication; network protocols; startup.

Artificial Intelligence I

Classical AI theory & methods, Intelligent Agents, Heuristic Search.

Artificial Intelligence II (Stochastic Optimization)

Evolutionary Algorithms (EAs); Ant Colony Optimization (ACO); Particle Swarm Optimization (PSO); Artificial Neural Networks (ANNs). I implemented a Genetic Algorithm(GA), a PSO, and an ACO to solve the NP-hard Traveling Salesman Problem (TSP) in MATLAB.

Code:
https://github.com/azarbakht/traveling_salesman_problem_TSP
https://github.com/azarbakht/genetic_algorithm
https://github.com/azarbakht/Particle_Swarm_Optimization

Algorithms & Data Structures (CS515)

Divide and conquer; greedy algorithms; matroids; dynamic programming; randomized algorithms; randomized min-cut; network flow; linear programming.

Computer Vision (CS556)

Image features and descriptors; feature extraction; Hungarian algorithm; color; edges; shape descriptors; shape matching; dynamic time warping; perceptual grouping and Gestalt laws; image segmentation; normalized cut; mean-shift; matching: typical formulations; matching as convex optimization; imaging process; geometric primitives; 2D and 3D transformations; projections; epipolar geometry; calibration; 2D homography; object detection; bag-of-words; tracking; clustering.

Ubiquitous Computing

Designing and developing a working prototype of an interactive embedded computer system using novel interface components -- within a budget of 1500 Swedish Crowns. We developed an interactive augmented mirror, called aMir.

Physical Computing

Designing & building prototypes of computational nature, using Arduino, sensors, actuators and smart material, e. g. wearable fabrics. Projects: iFlute, Compose:Me, Power-Sleeve for Tetris.