Azqa Nadeem

Delft University of Technology
Building 28, Room 6.E.040, Faculty of EEMCS, TU Delft

I am a Ph.D. candidate 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 B.Sc. (Computer Science and Engineering) students. The lecture slides can be found under Cyber Security Lecture Series.

My research interest lies at the intersection of social and technical aspects of Cyber Security. My aim is to use Sequential Pattern Mining and Explainable Machine Learning to detect network attacks.

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

Recent News

ss [02-10-2019] I have been selected the Best Graduate 2019 of the Faculty of EEMCS!
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 CSE1500 Web and Database Technologies – Topic: Web Security – Exploiting the OWASP Top 10.
ss CSE1110 Software Quality and Testing – Topic: Security Testing – Checking for what shouldn't happen.
ss CSE1505 Information and Data Management – Topic: Breaking databases via SQL Injection attacks.


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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