About me

My name is Mansooreh Karami. I am a computer engineering Ph.D. student in the School of Computer Science and Engineering at Arizona State University. I am a research assistant at the Data Mining and Machine Learning Laboratory (DMML), led by Dr. Huan Liu. My main research interests are in the areas of Social Media Mining, Machine Learning, Deep Learning, and Natural Language Processing.

Before joining ASU, I got my master's degree in computer engineering with a focus on artificial intelligence from Sharif University of Technology, Tehran, Iran. Through my Master’s degree study, I had been working on 3D reconstructions algorithms in the field of machine vision, supervised by Dr. Shohreh Kasaei.


01/30/2023 I was awarded the ASU's SCAI Doctoral Fellowship for the Spring 2023.
09/06/2022 Joined Spotify as Machine Learning Engineer Co-op.
08/08/2022 I was invited to serve as a Program Committee (PC) member for AAAI 2023.
07/31/2022 Our paper "Estimating Topic Exposure for Under-Represented Users on Social Media" got accepted to SBP-BRiMS 2022.
06/27/2022 Awarded ASU's Grace Hopper Celebration Student Scholarship, Virtual Ticket [declined].
06/16/2022 The paper "Combating Disinformation in a Social Media Age" has been announced as the top downloaded article among works between 1 January 2019 to 31 December 2020 by Wires Data Mining and Knowledge Discovery journal.
06/15/2022 Our paper "`Let's Eat Grandma`: Does Punctuation Matter in Sentence Representation?" got accepted to ECML-PKDD 2022.
06/09/2022 Awarded Grace Hopper Celebration Student Scholarship.
05/31/2022 Joined Microsoft as an Applied Data Science intern.
04/25/2022 Awarded 2022-2023 Arizona State University Iranian American Alumni Academic Scholarship.
04/01/2022 I was invited to serve as a Program Committee (PC) member for ECML PKDD 2022.

More News

Selected Publications


  • M. Karami, A. Mosallanezhad, M. V. Mancenido, and H. Liu (2020). "Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis. arXiv preprint arXiv:2101.03029 [arXiv][code].
  • R. Moraffah, B. Moraffah, M. Karami, A. Raglin, and H. Liu (2020). Can: A causal adversarial network for learning observational and interventional distributions. arXiv preprint arXiv:2008.11376 [arXiv].


  • A. Mosallanezhad, M. Karami, K. Shu, M. V. Mancenido, and H. Liu (2020). "Domain Adaptive Fake News Detection via Reinforcement Learning". In Proceedings of the ACM Web Conference 2022 (WWW'22), Lyon, France, 2022.
  • M. Karami, T. H. Nazer, and H. Liu (2021). "Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors", In Proceeding of the 32nd ACM Conference on Hypertext and Social Media (HT'21), Ireland, 2021 [pdf][code].
  • B. Jiang, M. Karami, L. Cheng, T. Black, and H. Liu. "Mechanisms and Attributes of Echo Chambers in Social Media", Working Paper, SBP-BRiMS 2021 [arXiv].
  • T. H. Nazer, M. Davis, M. Karami, L. Akoglu, D. Koelle, and H. Liu. "Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration?". International Conference on Social Computing, Behavioral-Cultural Modeling, Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2019), Washington DC, USA, 2019 [pdf].
  • A. Gaffar, D. Patel, P. Pallagi, R. Gaffar, and M. Karami, A Tele-Triage Application Design for Mobile Health at Mayo Clinic, 4th Annual Conference on Computational Science and Computational Intelligence, The 2017 International Symposium on Health Informatics and Medical Systems (CSCI-ISHI 2017), Las Vegas, Nevada, USA, 2017.
  • A. Gaffar, D. Patel, P. Pallagi, R. Gaffar, and M. Karami, Identifying and Mitigating Design Challenges of Ophthalmology Tele-medicine at Mayo Clinic, 4th Annual Conference on Computational Science and Computational Intelligence, The 2017 International Symposium on Health Informatics and Medical Systems (CSCI-ISHI 2017), Las Vegas, Nevada, USA, 2017.
  • M. Karami, R. Afrouzian, S. Kasaei, H. Seyedarabi, Multiview 3D Reconstruction based on Vanishing Points and Homography, Telecommunications (IST), 2014 7th International Symposium on IEEE, 2014 [link].
  • P. Jamshidlou, M. Karami, H. Sameti, "Persian Speech Emotion Detection Using Acoustic Features", 3rd International Conference on Acoustics and Vibration, K. J. Toosi University of Technology, ISAV 2013.


  • R. Moraffah, P. Sheth, M. Karami, A. Bhattacharya, Q. Wang, A. Tahir, A. Raglin, H. Liu. Causal Inference for Time series Analysis: Problems, Methods and Evaluation. Knowledge and Information Systems (KAIS). 2021 [arXiv].
  • K. Shu, A. Bhattacharjee, F. Alatawi, T. H. Nazer, K. Ding, M. Karami, H. Liu, 2020. "Combating Disinformation in A Social Media Age". WIREs Data Mining and Knowledge Discovery [link].
  • R. Moraffah, M. Karami, R. Guo, A. Ragliny, and H. Liu, 2020. "Causal Interpretability for Machine Learning-Problems, Methods and Evaluation". Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) [link].
  • OM Nezami, PJ Lou, M. Karami. ShEMO: a large-scale validated database for Persian speech emotion detection. Language Resources and Evaluation, 2018 [link][dataset].
  • M. Karami, P. Jamshidlou, H. Sameti, A Speaker-Dependent System for Recognizing the Embedded Emotion in Persian Speach Using Acoustic Features, Journal of Vibration and Sound (JVS), Vol.4, 2014, pp.3-14 (available in Persian)[pdf][link].

Honors and Awards

  • Iranian-American Alumni Academic Scholarship, ASU, 2022-2023
  • SCAI Doctoral Fellowship (for excellent research progress and strong academic work), ASU, 2022
  • ACM International WSDM Conference Outstanding Service Award, USA, 2022
  • WILEY Top Cited Article for “Combating Disinformation in a Social Media Age”, 2020-2021 [link]
  • Second Place in ISSR's Graduate Student Poster Contest, Completed Research Category, ASU, 2021 [link]
  • ICML WiML Conference Travel/Registration Funding, 2020
  • Herbold ASU Graduate Engineering Scholarship (for outstanding engineering graduate students), ASU, 2019-2020
  • Ira A. Fulton Schools of Engineering, Grad Fellowship (for extraordinary academic achievements), ASU, 2018-2020
  • Ferdinand A. Stanchi Fellowship (for extraordinary achievements and/or in support of your research), ASU, 2019



  • Research Assistant, Data Mining and Machine Learning Lab, Arizona State University, May 2019 – Present
  • Lead Instructor, AI4ALL Arizona State University, June 2019 and June 2020
  • Research Assistant, Human-Computer Intelligence Lab, Arizona State University, August 2017 – August 2018
  • Lecturer, Shahid Chamran University of Ahvaz, Iran, 2014 - 2016
  • Research Assistant, Image Processing Lab, Sharif University of Technology, Iran, 2011-2013


  • PC Member: IEEE CogMI, ECML-PKDD
  • Reviewer: BigData, TECHIS, TKDE, SNAM, ASU GPSA Awards
  • Subreviewer: CIKM, SBP-BRiMS, KDD, ASONAM
  • Volunteer: Lead Volunteer at WSDM'22 [link], KDD'21, 2019 ASU WiCS Programming Competition