Saurabh Kumar

Saurabh Kumar

Postdoctoral Scholar

Northwestern University, USA


Saurabh Kumar is currently a Postdoctoral Scholar at Department of Computer Science, McCormick School of Engineering, Northwestern University, USA. At Northwestern University, he is working with Prof. V.S. Subrahmanian.

Saurabh Kumar has completed his PhD from Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, advised by Sandeep Kumar Shukla at IIT Kanpur and Biswabandan Panda at IIT Bombay. His research interests include cybersecurity, Android security, malware analysis and cyber forensics.

Before joining IIT Kanpur, he served as an Assistant Programmer with the Central Bureau of Investigation, India. In CBI, his work revolved around Cybercrime and Cyber Forensics along with the management of information technology related activities of the Department.


Mar, 2024: Our paper titled “Climbing the Influence Tiers on TikTok: A Multimodal Study” is accepted at ICWSM 2024.
May, 2023: Our paper EPASAD is accepted at Cybersecurity journal.
Jan, 2023: Our paper KalpaVriksh is accepted at CCGrid 2023.
Jan, 2023: Joined PostDoc at Northwestern University, USA with Prof. V.S. Subrahmanian.
Dec, 2022: Defended my PhD.
Sep, 2022: Our paper InveSeal is accepted at ACM Journal DTRAP.
Jun, 2022: Submitted PhD Thesis.


Postdoctoral Scholar
Jan 2022 – Present USA
Teaching Assistantsip
Dec 2015 – Dec 2022 India
Assistant Programmer
Feb 2013 – Dec 2015 India


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(2024). Climbing the Influence Tiers on TikTok: A Multimodal Study. The 18th International AAAI Conference on Web and Social Media (ICWSM-2024). [Core: A Ranked].

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(2023). EPASAD: Ellipsoid Decision Boundary Based Process-Aware Stealthy Attack Detector. Cybersecurity, Springer. [Q1].

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(2023). KalpaVriksh: Efficient and Cost-effective GUI Application Hosting using Singleton Snapshots. The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid-2023). [Core: A Ranked ].

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(2022). InviSeal: A Stealthy Dynamic Analysis Framework for Android Systems. ACM Journal on Digital Threats: Research and Practice (DTRAP). [Q2].

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(2022). AndroOBFS: Time-tagged Obfuscated Android Malware Dataset with Family Information. 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR-2022). [Core: A Ranked].

Preprint Cite Dataset Slides Video DOI


Mobile Security: Android Malware Analysis
Mobile Security: Android
Mobile Forensics and Challenges
Mobile Forensics and Challenges: Perspective of Indian Investigators
Security of Mobile Platforms: Android Security