Sajedul Talukder

Orcid: 0000-0001-8054-9770

Affiliations:
  • Southern Illinois University, Carbondale, IL, USA
  • Edinboro University, PA, USA (2019 - 2021)
  • Florida International University, USA (PhD 2019)


According to our database1, Sajedul Talukder authored at least 50 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
EVOLVE-X: Embedding Fusion and Language Prompting for User Evolution Forecasting on Social Media.
CoRR, July, 2025

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis.
CoRR, July, 2025

LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis.
CoRR, May, 2025

2024
A visual approach to tracking emotional sentiment dynamics in social network commentaries.
Soc. Netw. Anal. Min., December, 2024

FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG.
CoRR, 2024

Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future.
CoRR, 2024

SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media.
CoRR, 2024

A Visual Approach to Tracking Emotional Sentiment Dynamics in Social Network Commentaries.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

SAFARI: Self-regulAted Clustered FederAted Learning in a HeteRogeneous EnvIronment.
Proceedings of the International Conference on Machine Learning and Applications, 2024

Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SCALE: Self-Regulated Clustered FederAted LEarning in a Homogeneous Environment.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SCAN: A HealthCare Personalized ChatBot with Federated Learning Based GPT.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Advancements in Multimodal Social Media Post Summarization: Integrating GPT-4 for Enhanced Understanding.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SocialGuard: Bangla Text-Based Gender Identification for Enhancing Integrity in Social Networks.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SocFedGPT: Federated GPT-Based Adaptive Content Filtering System Leveraging User Interactions in Social Networks.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-Like Model.
Proceedings of the Advances in Social Networks Analysis and Mining - Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining, 2024

CAMERA: Context Based Emotion Detection Framework and Its Evaluation.
Proceedings of the Advances in Social Networks Analysis and Mining - Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining, 2024

Combating Echo Chambers in Online Social Network by Increasing Content Diversity in Recommendation.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023
Online learning for X-ray, CT or MRI.
CoRR, 2023

AutoML Systems For Medical Imaging.
CoRR, 2023

Case Studies on X-Ray Imaging, MRI and Nuclear Imaging.
CoRR, 2023

Generative Adversarial Networks for Data Augmentation.
CoRR, 2023

Introduction to Medical Imaging Informatics.
CoRR, 2023

Challenges and Opportunities of Computational Intelligence in Industrial Control System (ICS).
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Machine Learning and Sentiment Analysis for Predicting Environmental Lead Toxicity in Children at the ZIP Code Level.
Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023

Collaborative Differentially Private Federated Learning Framework for the Prediction of Diabetic Retinopathy.
Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023

FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Monitoring Dynamics of Emotional Sentiment in Social Network Commentaries.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Combating Identity Attacks in Online Social Networks: A Multi-Layered Framework Using Zero-Knowledge Proof and Permissioned Blockchain.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Towards Addressing Identity Deception in Social Media using Bangla Text-Based Gender Identification.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
A Novel Hierarchical Federated Learning with Self-Regulated Decentralized Clustering.
J. Comput. Sci. Coll., 2022

Prediction of Childhood and Pregnancy Lead Poisoning Using Deep Learning.
J. Comput. Sci. Coll., 2022

Federated Learning-Based Contraband Detection within Airport Baggage X-Rays.
J. Comput. Sci. Coll., 2022

User awareness and defenses against sockpuppet friend invitations in Facebook.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021
Applying local differential privacy in handwriting recognition-based systems: faculty poster abstract.
J. Comput. Sci. Coll., 2021

Enhancing alternative proof of work for cryptocurrencies using machine learning: faculty poster abstract.
J. Comput. Sci. Coll., 2021

Analyzing brain tumor MRI to demonstrate GPU-based medical image segmentation.
J. Comput. Sci. Coll., 2021

Privacy-preserving activity recognition from sensor data: faculty poster abstract.
J. Comput. Sci. Coll., 2021

Evaluation of privacy-preserving Logistic Regression and Naive Bayes classifiers in healthcare: faculty poster abstract.
J. Comput. Sci. Coll., 2021

2020
A Study of Friend Abuse Perception in Facebook.
ACM Trans. Soc. Comput., 2020

A template for useful proof of work.
J. Comput. Sci. Coll., 2020

Privacy and security vulnerabilities in health care infrastructure mobile technology.
J. Comput. Sci. Coll., 2020

Towards understanding privacy trade-off in an epidemic.
J. Comput. Sci. Coll., 2020

Giving Up Privacy For Security: A Survey On Privacy Trade-off During Pandemic Emergency.
CoRR, 2020

2019
AbuSniff: an automated social network abuse detection system.
J. Comput. Sci. Coll., 2019

2018
Mobile Technology in Healthcare Environment: Security Vulnerabilities and Countermeasures.
CoRR, 2018

Attacks and Defenses in Mobile IP: Modeling with Stochastic Game Petri Net.
CoRR, 2018

AbuSniff: Automatic Detection and Defenses Against Abusive Facebook Friends.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017
When Friend Becomes Abuser: Evidence of Friend Abuse in Facebook.
Proceedings of the 2017 ACM on Web Science Conference, 2017


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