Azqa Nadeem

Delft University of Technology
<firstname>.<lastname>@tudelft.nl
Building 28, Room 6.E.040, Faculty of EEMCS, TU Delft

I am a Ph.D. student in the Cyber Security group at Delft University of Technology. I am working under the supervision of Dr. ir. Sicco Verwer. In addition to my research, I teach Cyber Security topics to Bachelor students. The lecture slides are under Cyber Security Lecture Series.

My research interest lies at the intersection of social and technical aspects of Cyber Security. My aim is to help fight cybercrime by 1) understanding attacker motivation and 2) utilizing this information to develop and deploy proactive security solutions. I am also interested in Cyber Forensics and Network Security.

When I'm not working, you will find me traveling, exploring nature, and polishing my photography skills. I love having discussions about human psychology, devious behavior, cats, imposter syndrome, and... well... cats.


Recent News

ss [13-09-2019] I have been awarded a Student Grant at the International Summer School of Machine Learning and Security @ Padua, Italy.
ss [08-08-2019] Our team has won the Robust Malware Detection Challenge @ the KDD Adversarial Machine Learning and Data Mining workshop 2019.
ss [02-04-2019] I'm giving a talk "Malware Labeling Practices and what's wrong with them" at the Cyber Security Seminar at TU Delft.
ss [20-11-2018] I have won the Best Poster Award for my work titled "Clutering Malware's Network Behavior using Simple Sequential Features" at the Annual PhD Event at EEMCS, TU Delft.

Cyber Security Lecture Series (CSLS)

ss CSE1110 Software Quality and Testing – Topic: Security Testing – Checking for what shouldn't happen.
ss TI2506 Information and Data Management – Topic: Breaking databases via SQL Injection attacks.

Publications

ss Beyond Labeling: Intuitive Capability Assessment of Malware using Network Behavioral Profiles. Azqa Nadeem, Christian Hammerschmidt, Carlos H. Ganan, Sicco Verwer. arXiv preprint arXiv:1904.01371, 2019.
ss Clustering Malware's Network Behavior using Simple Sequential Features. Azqa Nadeem. M.Sc. Thesis, Delft University of Technology, 2018.
ss Adaptive Cache Mode Selection for Queries over Raw Data. Tahir Azim, Azqa Nadeem & Anastasia Ailamaki. In Ninth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), 2018.
Investigating type declaration mismatches in Python. Luca Pascarella, Achyudh Ram, Azqa Nadeem, Dinesh Bisesser, Norman Knyazev & Alberto Bacchelli. In Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE), IEEE workshop, 2018.

Education Background

2018 - present Ph.D. in Computer Science Delft University of Technology Netherlands
s 2016 - 2018 M.Sc. in Computer Science Delft University of Technology Netherlands
2011 - 2015 B.Sc. in Computer Science NUST School of Electrical Engineering and Computer Science Pakistan

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