A. Proma, R. Wachter, E. Hoque. The Untapped Potential of Computing and Cognition in Tackling Climate Change, NAE Perspectives, 2023
A. Proma, N. Pate, R. A. Baten, S. Chen, J. Druckman, G. Ghoshal, E. Hoque, Exploring the Role of Randomization on Belief Rigidity in Online Social Networks IEEE Transactions on Affective Computing, 2026 [Journal Impact factor: 9.8]
S. Kelty, R. A. Baten, A. M. Proma, E. Hoque, J. Bollen, and G. Ghoshal, The Innovation Trade-off: how Following Superstars Shapes Academic Novelty, Humanities and Social Sciences Communications, 2025 [Journal Impact factor: 3.7]
M. S. Islam, A. M. Proma, C. Wohn, K. Berger, S. Uong, V. Kumar, K. S. Korfmacher, E. Hoque, SEER: Sustainable E-commerce with Environmental-impact Rating, Cleaner Environmental Systems, Volume 8, 2023. [Journal Impact factor: 6.1]
A. Proma, N. Pate, J. Druckman, G. Ghoshal, E. Hoque, Personalizing LLM Responses to Combat Political Misinformation, 33rd ACM International Conference on User Modeling, Adaptation and Personalization, 2025
A. Proma, Understanding the Rigidity of Beliefs in Temporal Social Networks, 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2023
A. Proma, M. S. Islam, S. Ciko, R. A. Baten, E. Hoque. NADBenchmarks – a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters, The Role of AI in Responding to Climate Change, AAAI Fall Symposium Series, November 2022 [Check Website]
M. S. Islam, A. Proma, Y. Zhou, S. N. Akter, C. Wohn, E. Hoque, KnowUREnvironment: An Automated Knowledge Graph for Climate Change and Environmental Issues, The Role of AI in Responding to Climate Change, AAAI Fall Symposium Series, November 2022
S. Duwal, M. N. Shopnil, A. Tyagi, A. Proma, Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs, CVPR Workshop on Preventing and Combating Misinformation and Disinformation (PP-MisDet), 2026.
A. Proma, N. Pate, G. Ghoshal, J. Druckman, E. Hoque, Can LLMs Emulate Human Belief Dynamics?, arXiv, 2026.
A. Proma*, N. Pate*, J. Druckman, G. Ghoshal, H. He, E. Hoque, Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks, arXiv, 2025
N. Pate, A. Proma, H. He, J. Druckman, D. Molden, G. Ghoshal, E. Hoque, Replicating Human Motivated Reasoning Studies with LLMs, arXiv, 2026.
M. N. Shopnil, S. Duwal, A. Tyagi, A. Proma, MIRAGE: Agentic Framework for Multimodal Misinformation Detection with Web-Grounded Reasoning, arXiv, 2025.
S. Duwal, M. N. Shopnil, A. Tyagi, A. Proma, Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs, arXiv, 2025.
Extended abstracts and posters titled “Can LLMs Emulate Human Belief Dynamics?” and “Replicating Motivated Reasoning Studies with LLMs” at IC2S2, July 2026.
Extended abstracts and posters titled “The Role of LLMs in Tackling Misinformation during the 2024 US Elections” and “Exploring the Role of Randomization on Belief Rigidity in Online Social Networks” at IC2S2, July 2025.
Research talk at ACM NYCWiC, April 2025.
[Jul, 2026] I will be in Burlington, Vermont, presenting at IC2S2!
[May, 2026] I will be working as an Applied Research Intern at Microsoft Research!
[Apr, 2026] Two of our posters got accepted to IC2S2!
[Oct, 2025] I will be in CMU for the IDEAS conference!
[Jul, 2025] I will be in Sweden for IC2S2!
[Jul, 2025] I will be giving a virtual research talk at Trento University, Trento!
[Jul, 2025] I will be visiting PoliMi, Milan!
[Jul, 2025] I will be giving a research talk at LMU, Munich!
[Jun, 2025] I will be giving a research talk at ISIR, Sorbonne University, Paris!
[May, 2025] I will joining as an academic guest at the University of Zurich, Switzerland for the summer!
[Apr, 2025] Two of our posters got accepted to IC2S2!
[Mar, 2025] Our paper "Personalizing LLM Responses to Combat Political Misinformation" got accepted to ACM UMAP!
[Apr, 2024] Selected for Summer Institute in Computational Social Science-Rochester (SICSS-Rochester), 2024
[May, 2023] The CS department highlights our work on the role of technology for climate change! [Read]
[Feb, 2023] Our lab's efforts on mentoring undergrad researchers gets featured by the University's News Center! [Read]
[2023] Selected for CRAWP Grad Cohort
[2022] Selected for CRAWP Grad Cohort
[2022] Our breast cancer application gets highlighted by national Bangladeshi press [New Age, Dhaka Tribune]
[2019] Highest Distinction Award, BRAC University
[BRAC University] Named to the Vice Chancellor's List and Dean's List.
[2018] Received grant from ICT division of Ministry of Posts, Telecommunications and Information Technology, Bangladesh to lead a project on early detection and risk assessment of breast cancer
[2014] Country highest in Mathematics in International Advanced Levels (IAL)
[2013] World highest in Mathematics-B in International General Certificate of Secondary Education (IGCSE)
Worked with Dr. David Rothschild to explore conversational AI chatbots for extracting individuals' core political narratives.
Worked with Dr. Fabrizio Gilardi on understanding the role of social media in shaping public opinion and political attitudes
Designed and implemented persona-specific LLM agents using Ollama for online chatroom experiments.
Developed a questionnaire-based breast cancer risk assessment and early detection algorithm through comprehensive literature review and expert interviews with medical professionals
Conducted feasibility analysis to develop web-platform functionalities for breast cancer awareness website [Check website]
Supported BRAC SDP, an initiative that boosts informal-sector job placements.
Designed an intelligent system for the field-level operations team to predict loan eligibility using ensemble learning
Conducted statistical analysis and data visualization to assess COVID-19's effect on income and inform strategic decisions.
CSC 460: Technology and Climate Change
CSC 212/412: Human Computer Interaction
CSC 200H: Undergraduate Problem Seminar (Focused on Database Systems Research)
CSC 261: Database Systems
CSE 101: Introduction to computing
CSE 220: Data Structures
CSE 221: Algorithms
CSE 341: Microprocessors
CSE 420: Compilers
CSE161: Programming Language I (Basic Programming in Java)
CSE 220: Data Structures
CSE 260: Digital Logic Design
Reviewer for ICWSM 2026, ICLR 2026, CHI 2026, IUI 2026, ACL 2025, ICLR 2025, CHI 2025, NeurIPS 2024, ACII 2023, ACIIW 2023.
Graduate Representative, Department of Computer Science, University of Rochester, 2025-2026.
Student Volunteer, IEEE VIS Conference, 2024.
Mentor, Fatima Fellowship, 2024-2025 cohort.
Committee Member for Ph.D Admissions Committee, Department of Computer Science, University of Rochester (Admission cycles of 2022)