Photo of Alireza Mohammadinodooshan

Alireza Mohammadinodooshan

PhD student

I am currently conducting research on topics related to computational social science.


I am a PhD candidate with the Security and Networks Research Group, ADIT, IDA. Since 2021, I have been working with Niklas Carlsson focusing on understanding and modeling the security aspects of social networks and media, leveraging statistical modeling and machine learning techniques.


Professional Contributions

Explore below to learn more about my scholarly activities, including my contributions to research, teaching, and service.


  • For a selected list of my publications, please see below and for a comprehensive list, please visit my Google Scholar or DBLP page.

  • I am serving on the program committee for the BESC 2023 conference.

  • SNAMS 2022 paper has been nominated as a best paper candidate of the conference. An extended version is under preparation.



  • Course leader and primary lecturer:

  • Datastrukturer och Algoritmer (TDDD71)

  • Course Lecturer and Projects Supervisor:

  • Information Security, Second Course (TDDD17)

  • Course Assistant:

  • Software Security (TDDC90)

  • Computer Networks (TDTS06)

  • Computer Networks and Distributed Systems (TDTS04)




Alireza Mohammadinodooshan, Niklas Carlsson (2023) Effects of Political Bias and Reliability on Temporal User Engagement with News Articles Shared on Facebook PASSIVE AND ACTIVE MEASUREMENT, PAM 2023, p. 160-187 Continue to DOI


Alireza Mohammadinodooshan, Niklas Carlsson (2022) Temporal Dynamics of User Engagement with U.S. News Sources on Facebook Proc. International Conference on Social Networks Analysis, Management and Security (SNAMS) Continue to DOI
Carl Terve, Mattias Erlingsson, Alireza Mohammadinodooshan, Niklas Carlsson (2022) Social Media Dynamics of Shorted Companies Proc. International Conference on Social Networks Analysis, Management and Security (SNAMS) Continue to DOI


Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2020) Comment on "AndrODet: An adaptive Android obfuscation detector"


Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2019) Robust Detection of Obfuscated Strings in Android Apps Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, p. 25-35, Article 42 Continue to DOI


About the division

Colleagues at ADIT

About the department