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I am a Computer Science PhD student at the University of Virginia. My advisor is Professor David Evans. My research is currently focused on Adversarial Machine Learning. More specifically, I am working on improving defenses against adversarial attacks on image classification models.

I received my BSc in Computer Science and Engineering from Bangladesh University of Engineering and Technology in September 2015. Since October 2015, I have been working as a Software Engineer at Mukto Software Ltd. My research interests include security, data science, machine learning and systems.

My undergraduate thesis was on "An intelligent system for preventing SSL stripping-based session hijacking attacks". In our research we applied machine learning techniques to learn from end user behavior to help prevent SSL stripping based attacks.

In 2014, I was part of a team that designed a post-disaster rescue escalation system named "Sign of Life". Our project won the Microsoft Imagine Cup 2014 Bangladesh regional in the World Citizenship category. Later we published a research paper based on this project titled "Sign of life: A system for escalating post-disaster rescue missions in ready-made garment factories".

In another hobby research project, I designed a cricket player evaluation system using a combination of dynamic programming based decision optimization, and statistical methods.

I also enjoy systems level programming and learning about operating systems. I plan to explore research opportunities on operating systems security in future.

Resume:

You can view my resume by clicking here.


Contact:

Email: jonas.maj@gmail.com

Phone: +1 (434) 466 0934