Ismail Hossain

Publications at a glance

#	Paper Title	Link	Publisher
C	SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks	Link	Springer
W	Bangla Emotion Detection Dataset With An Extended Taxonomy And Its Evaluation	Link	Springer
W	FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG	Link	Springer
W	4WHContext: A Context Based Hate Speech Detection Framework From Social Media Posts	Link	Springer
W	Combating Echo Chambers In Online Social Network By Increasing Content Diversity In Recommendation	Link	Springer
W	CAMERA: Context Based Emotion Detection Framework And Its Evaluation	Link	Springer
W	EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model	Link	Springer
W	SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media	Link	Springer
B	Recommendation System: History, Present and Future	Link	Arxiv
B	Blockchain-Integrated Secure Framework for Enhanced E-Government Services	Link	Springer
J	Enhancing the Cybersecurity of Advanced Nuclear Power Plants through Generative AI and Large Language Models	Link	IEEE
J	Natural Language Processing for Predictive Maintenance in Nuclear Power Plant: Digital Twin Context	Link	IEEE
B	AutoML Systems For Medical Imaging	Link	Springer
A	A Novel Hierarchical Federated Learning with Self-Regulated Decentralized Clustering	Link	ACM
C	Machine Learning and Sentiment Analysis for Predicting Environmental Lead Toxicity in Children at the ZIP Code Level	Link	IEEE
A	Prediction of Childhood and Pregnancy Lead Poisoning Using Deep Learning	Link	ACM
A	Federated Learning-based Contraband Detection within Airport Baggage X-Rays	Link	ACM
B	Active learning on medical image	Link	Springer
C	Towards Federated Learning Based Contraband Detection Within Airport Baggage X-Rays	Link	IEEE
C	Collaborative Differentially Private Federated Learning Framework for the Prediction of Diabetic Retinopathy	Link	IEEE
B	Introduction of Medical Imaging Modalities	Link	Springer

Research Domain Interests

Social Networks

"AI and machine learning can significantly enhance the user experience within social networks. Given our daily reliance on various social platforms, user-generated posts, comments, and reactions serve as valuable resources for research purposes. Investigating social networks can lead to innovative insights into user data security and privacy, ultimately delivering novel user experiences."
Health Care

"AI has the ability to analyze big data sets – pulling together patient insights and leading to predictive analysis. Quickly obtaining patient insights helps the healthcare ecosystem discover key areas of patient care that require improvement. Wearable healthcare technology also uses AI to better serve patients."
Security Enhancements

"AI uses machine learning and deep learning to recognize patterns on the network and cluster them, it will then detect deviations or security incidents from the norm before responding to them. These patterns can help to improve security in the future. Similar potential threats can be detected and blocked early enough."

Ismail Hossain

Witty Quote

Publications at a glance

Research Domain Interests

UPDATES

Started PhD in University of Texas at El Paso

ICWSM'24 Student Travel Award

ASONAM 2024

COMPSAC 2024

ICWSM'24 AAAI

CyberForce 2023

ACM/IEEE ASONAM 2023

Data-driven approaches to Medical Imaging

Expert Opinion on Cybersecurity and Ransomware

ANS Transactions

IEEE ICAIC 2023

Blockchain and Smart-Contract Technologies

CyberForce 2022