• 🎉 December 2024: One paper Accepted - Understanding Online Platform Usage of Extremist Groups via Graph Analytics at IEEE BigData, 2024
• 🏆 October 2024: Won the Fall 2024 Fraser Travel Award link
• 🔥 September 2024: Presented my paper Tackling Oversmoothing in GNN via Graph Sparsification at ECML-PKDD'2024, Vilnius 🇱🇹
• 🎉 August 2024: One paper Accepted - HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing at DSAA, 2024
• 🎉 May 2024: One paper Accepted - Tackling Oversmoothing in GNN via Graph Sparsification at ECML-PKDD, 2024

Ph.D. in Computer Science
Georgia State University, United States, 📅 2022 – Present
Advisor: Dr. Esra Akbas
Research Areas: Graph Neural Networks, Network Analysis, NLP

M.S in Computer Science
Georgia State University, United States, 📅 2022 -2025
Advisor: Dr. Esra Akbas

B.Sc. in Computer Science & Engineering
Khulna University, Bangladesh, 📅 2012 – 2016
Advisor: SM Mohidul Islam ( September 2016 - June 2017) and Dr Md Zahidul Islam ( January 2016 - August 2016)
Thesis: Temporal information extraction from textual data using long short term memory recurrent neural network. Link

Graduate Research Assistant
Data Engineering Lab (DELab) and TCV, Georgia State University, United States 📅 Aug 2022 – Present
🔬 Supervisor: Dr. Esra Akbas

• Conducting research on Graph Neural Networks (GNNs), graph compression, and social network analysis
• Developed a graph decomposition-based GNN model to mitigate oversmoothing

Graduate Teaching Assistant
Department of Computer Science, Okahoma State University, United States 📅 Aug 2021 – July 2022

• Led lab sessions for undergraduate courses (Theory of Computing, Object Oriented Programming, Numerical Analysis)
• Mentored students and graded assignments, quizzes, and exams

Lecturer
Department of Computer Science and Engineering, City University, Bangladesh 📅 September 2017 – July 2021

• Taught undergraduate courses (Structured Programming , Numerical Analysis, Discrete Mathematics, Software Engineering)
• Mentored students and graded assignments, quizzes, and exams

• Tackling Oversmoothing in GNN via Graph Sparsification
  Tanvir Hossain, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Farhan Tanvir and Esra Akbas
  ECML PKDD 2024 🧠
  Explores a graph decomposition approach to mitigate oversmoothing in GNNs using k-truss-based sparsification.

• Understanding Online Platform Usage of Extremist Groups via Graph Analytics
  Tanvir Hossain, Esra Akbas, Anthony E Lemieux, Virginia Massignan
  IEEE Big Data 2024 🧠
  Analyzes behavioral patterns of extremist groups and impact of the influential actors using network analysis.

• EnD: Enhanced Dedensification for Graph Compressing and Embedding
  Tanvir Hossain, Esra Akbas, Muhammad Ifte Khairul Islam
  ICDM-MLoG 2022 🧠
  Proposes a structural-aware dedensification method to compress large-scale graphs while preserving embedding quality for downstream tasks.

• Dygcl: Dynamic graph contrastive learning for event prediction
  Muhammed Ifte Khairul Islam, Khaled Mohammed Saifuddin, Tanvir Hossain, Esra Akbas
  IEEE Big Data 2024 🧠
  Proposes a structural-aware graph compression for temporal event prediction.

• HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing
  Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas
  DSAA 2024 🧠
  Develops is a triplet-based heterogeneous GNN that models drug–target–disease relationships for effective drug repurposing.