I am a final-year PhD candidate in the Department of Computer Science and Engineering at the University at Buffalo, SUNY, advised by Prof. A. Erdem Sarıyüce. Prior to my PhD, I earned a B.S. in Computer Science and Engineering from Shahjalal University of Science and Technology, Bangladesh in 2018. Additionally, I have 2+ years of software engineering experience at Samsung R&D Institute, Bangladesh.
My research interests are broadly in Deep Learning, Natural Language Processing, and Graph Neural Networks. Currently, I am focusing on enhancing network robustness and addressing related tasks such as GNN-based link prediction and edge classification on complex networks.
Publications
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Large Engagement Networks for Classifying
Coordinated Campaigns and Organic Twitter Trend
Atul Anand Gopalakrishnan, Jakir Hossain , Tugrulcan Elmas, Ahmet Erdem Sarıyüce
ICWSM 2025 - International AAAI Conference on Web and Social Media -
From Words to Actions: A Comprehensive
Approach to Identifying Incel Behavior on Reddit
Ahmet Y. Demirbas, Jakir Hossain , Ahmet Erdem Sarıyüce
BigData 2024 - 2024 IEEE International Conference on Big Data -
Quantifying Node-Based Core Resilience
Jakir Hossain , Sucheta Soundarajan, Ahmet Erdem Sarıyüce
ECMLPKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases -
Bangladesh cricket squad prediction
using statistical data and genetic algorithm
Md. Jakir Hossain , Md. Abul Kashem, Md. Saiful Islam, Marium E-Jannat
iCEEiCT 2018 - 4th International Conference on Electrical Engineering and Information & Communication Technology -
Development of robotic voice conversion for RIBO using
text-to-speech synthesis
Md. Jakir Hossain , Sayed Mahmud Al Amin, Md. Saiful Islam, Marium-E-Jannat
iCEEiCT 2018 - 4th International Conference on Electrical Engineering and Information & Communication Technology -
Truss-based Edge Robustness and Implications for Edge Classification Task
Jakir Hossain , Sucheta Soundarajan, Ahmet Erdem Sarıyüce
Under Submission -
Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification
Jakir Hossain , Gurvinder Singh, Lukasz Ziarek, Ahmet Erdem Sarıyüce
Under Submission