Education    Certificates     News    Publications     Projects    CV

Bio

I am a Ph.D. Candidate in Computer Science and a Graduate Research Assistant at Oregon State University (OSU), working on Image Privacy and intersection of Machine Learning and Cybersecurity under supervision of Prof. Rakesh B. Bobba. I am collabrating with Prof. Wuchi Feng and Prof. Charles Wright at Portland State University on my image privacy project. In this project we are exploring the practical adversarial perturbations for image privacy in image sharing platforms. I also worked with Mahdieh Abbasi, Ph.D. student of Univertie’ Laval in Quebec, on our dependable and secure deep neural networks project in which we tended to detect and reject adversarial and out-distribution examples. I worked as gradurate research assistant at Digital Media Lab on some fun and exciting projects on complex networks analysis methods and graph theories. I received my Master’s and Bachelor’s degrees in Computer Engineeing and Computer Science at Sharif University of Technology. In general, my research areas of intrerest are:

• Machine Learning & Deep Learning
• Data Science & Statistical Analysis
• Data & Image Privacy
• Complex Networks Analysis & Graph Mining
• Cybersecurity

Education

• Ph.D. Candidate in Computer Science (2014 – Present)
  Oregon State University, Corvallis, Oregon, USA.
  Thesis: Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

• Master of Science (M.S.) in Computer Engineering (Software engineering) (2011 – 2013)
  Sharif University of Technology, Department of Computer Engineering
  Thesis: Local Community Detection in Social Networks

• Bachelor Science (B.S.) in Computer Science (2005 – 2010)
  Sharif University of Technology, Department of Computer Science
  Thesis: Community Detection in Complex Networks

Certificates

• Spark Fundamentals II, Cognitive Class (An IBM Initiative)
• Data Science Foundation - Level 2, Cognitive Class (An IBM Initiative)
• Spark MLlIB, Cognitive Class (An IBM Initiative)
• Exploring Spark’s GraphX, Cognitive Class (An IBM Initiative)
• Data Science Methodology, Cognitive Class (An IBM Initiative)
• Data Science Hands-On with Open Source Tools, Cognitive Class (An IBM Initiative)

Please click here to see certificates.

News

• Attended 10th Montréal Industrial Problem Solving Workshop and worked on Data Anonymization and Synthesis project (Desjardins Group). The report will be available soon.
• First place winner at Grad show case poster presentation, ”Towards Dependable Deep CNNs with Out-distribution Learning ” 2018
• Won student scholarship from CREDC summer school, 2017
• Won student travel award from GREPSECIII Workshop and IEEE Symposium on Security and Privacy,2017
• Won student travel award from Conference on Computer and Communications Security (CCS), 2017
• Won student travel award from Annual Computer Security Applications Conference (ACSAC), 2016