Photo of Alireza Mohammadinodooshan

Alireza Mohammadinodooshan

Postdoc

Conducting research in data science, leveraging statistical modeling and machine learning techniques to uncover complex patterns across social networks, text, images, and other data modalities.

Presentation

As a postdoctoral researcher in the Security and Networks Group within the Database and Information Techniques division, I specialise in developing and utilising statistical modeling and machine learning techniques to analyse complex patterns across diverse data types—including social networks, textual data, images, and more. With a strong background in data science, I am passionate about transforming data into actionable insights for the research community and industry beneficiaries. My research —encompassing both methodological advancements and practical applications—has been published in top venues such as AAAI ICWSM, ACM WebSci, IEEE/ACM ASONAM, and PAM. This commitment extends to lecturing, mentoring students, and supervising multiple master's theses on related topics, showcasing my dedication to practical applications in networks, security, and data science.

Professional Contributions

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

Research

  • For a selected list of my publications, please see below and for a comprehensive list, please visit my Google Scholar or DBLP page.
  • I have been selected as one of the best Program Committee members of AAAI  ICWSM.
  • Our paper, "Understanding Engagement Dynamics with (Un)Reliable News Publishers on Twitter," has been accepted for ASONAM 2024.
  • Our paper "Successful Rhetorics: How Do Linguistic Dimensions Affect User Engagement with Different News Categories on Twitter?" has been accepted to AAAI ICWSM 2025.


Teaching

  • Course Leader and Primary Lecturer:
    • Datastrukturer och Algoritmer (TDDD71)
  • Course Lecturer and Projects Supervisor:
    • Information Security, Second Course (TDDD17)
  • Course Teacher and Assistant:
    • Databasteknik för kandidatprojekt (TDDD81)
    • Databasteknik (TDDD12)
  • Course Assistant:
    • Software Security (TDDC90)
    • Computer Networks (TDTS06)
    • Computer Networks and Distributed Systems (TDTS04)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


Publications

2024

Elin Thorgren, Alireza Mohammadinodooshan, Niklas Carlsson (2024) Temporal Dynamics of User Engagement on Instagram: A Comparative Analysis of Album, Photo, and Video Interactions Proceedings of the 16th ACM Web Science Conference, p. 224-234 (Conference paper) Continue to DOI
Alireza Mohammadinodooshan (2024) Data-driven Contributions to Understanding User Engagement Dynamics on Social Media

2023

Alireza Mohammadinodooshan, William Holmgren, Martin Christensson, Niklas Carlsson (2023) A Clone-based Analysis of the Content-Agnostic Factors Driving News Article Popularity on Twitter PROCEEDINGS OF THE 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2023, p. 17-24 (Conference paper) Continue to DOI
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 (Conference paper) Continue to DOI

2022

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) (Conference paper) Continue to DOI

Research 

News

About the division

Colleagues at ADIT

About the department