About me

My research interest broadly lies in Social Media Mining and Analysis, integrating Natural Language Processing (NLP) and Computational Social Science (CSS). The landscape of social media is highly dynamic, with users generating and consuming a diverse range of content. Interest groups, including politicians and advertisers, employ microtargeting to shape messages and influence their audience. While effective in enhancing content relevance, microtargeting also presents risks such as manipulating user behavior, creating echo chambers, and fostering polarization. Understanding these impacts is crucial for promoting healthy public discourse in the digital age and maintaining a cohesive society. My work focuses on a better understanding of microtargeting and activity patterns in social media.

A significant challenge lies in understanding the messaging and how it changes depending on the targeted user groups. Another challenge arises when we do not know who the users are and what their motivations are for engaging with content. I address these challenges by developing computational approaches for (1) characterizing user types and their motivations for engaging with content [ICWSM 2022] [ICWSM 2021] [KDDBHI @IEEE BigData 2020] , (2) analyzing the messaging consumed by users and their responses to it [ICWSM 2023] [AIES 2023] [IEEE BigData 2022] , (3) delving into the deeper understanding of the theme and arguments involved in the content [NAACL 2022] [DASH @EMNLP 2022] [Findings @ACL 2023].

I am a Ph.D. candidate in the Department of Computer Science (CS) at Purdue University, West Lafayette. My advisor is Dr. Dan Goldwasser. I am fortunate to collaborate with Dr. Lyle Ungar, Dr. Ming Yin, Dr. Ruqi Zhang.

I’m on the academic job market 2024. I welcome any potential opportunities to connect and discuss how I can be a good fit for potential roles. [CV] [Research Statement] [Teaching Statement]

I obtained M.Sc. in Computer Science (CS) from Old Dominion University (ODU) in August 2018. I worked with Dr. Mohammad Zubair, Dr. Desh Ranjan and Dr. Harold Riethman to develop computational method for improved region-specific assembly for human genome [ISBRA 2018] [TCBB 2019] [BIBE 2019]. I also worked with Dr. Jing He to generate method to quantify twist of β-strands in secondory structure of protein [JCB 2018] [ACM-BCB 2017]. Prior to joining ODU, I was working as a Software Developer in the R&D team of Dohatec New Media for two years. I completed my B.Sc in Computer Science and Engineering (CSE) department from Bangladesh University of Engineering and Technology (BUET) in year 2013.

See my publications here .

My Google Scholar and ResearchGate profile.

Recent News

  • February 6, 2024: Guest lecture Natural Language Processing, Purdue University.
  • December 13, 2023: Passed prelim and became Ph.D. candidate.
  • August 08-10, 2023: Attended AIES-2023, Montreal, Canada.
  • June 05-08, 2023: Attended ICWSM-2023, Limassol, Cyprus.
  • May 05, 2023: Long paper accepted in AIES-2023 as oral presentation.
  • May 02, 2023: Long paper accepted in Findings of ACL 2023.
  • April 14, 2023: Received Graduate Teaching Award from Purdue CS department.
  • December 17-20, 2022: Attended IEEE BigData 2022, Osaka, Japan (Virtually).
  • December 7-11, 2022: Attended EMNLP 2022, Abu Dhabi, UAE (Virtually).
  • October 24, 2022: Regular paper accepted to publish in IEEE BigData 2022.
  • July 16, 2022: Long paper accepted to publish in ICWSM-2023.
  • June 06-09, 2022: Attended ICWSM-2022, Atlanta, Georgia.
  • May 9, 2022: Received ACM-W scholarship for attendance at ICWSM 2022.
  • May 9, 2022: Received ICWSM2022 travel grant.
  • April 11, 2022: Received Graduate School Summer Research Grant Award.
  • April 7, 2022: Long paper accepted to publish in NAACL 2022.
  • July 15, 2021: Long paper accepted to publish in ICWSM-2022.
  • June 08-10, 2021: Attended ICWSM-2021, Atlanta, Georgia (Virtually).
  • March 30, 2021: Received Graduate School Summer Research Grant Award.
  • March 15, 2021: Long paper accepted to publish in ICWSM-2021.
  • January 27-29, 2021: Attended IEEE ICSC 2021, Irvine, California (Virtually).
  • December 10-13, 2020: Attended IEEE BigData 2020, Atlanta, Georgia (Virtually).
  • August 31, 2020: Submitted Ph.D. Plan of Study.
  • December 17, 2019: Passed Ph.D. qualifier.