Dr. Sajedul Talukder
Dr. Sajedul Talukder
Assistant Professor
Director, Security and Privacy Enhanced Machine Learning Lab
Office: CCSB 3.0502
Department of Computer Science
The University of Texas at El Paso (UTEP)
(915) 747-8819
stalukder [AT] utep.edu
Witty Quote

“Companies spend millions of dollars on firewalls, encryption, and secure access devices, and its money wasted; none of these measures address the weakest link in the security chain.” – Kevin Mitnick

Dissertation/Theses

  • Sajedul Talukder, “Detection and Prevention of Abuse in Online Social Networks”, FIU Electronic Theses and Dissertations. 4026, March 2019. Available at : digitalcommons.fiu. [pdf]
  • Sajedul Talukder, “Security Issues and Protection Mechanisms of IP Mobility Protocols”, Bangladesh University of Engineering and Technology (BUET), July 2014.
Book and Book Chapter
  • Tauhidul Alam, Sajedul Talukder, “Utilizing Blockchain for Safeguarding IoT-Based Robotic Networks from Spoofing Attacks”, Book Chapter in Building Cybersecurity Applications with Blockchain and Smart Contracts, Springer Nature, Switzerland, 2023.
  • Sajedul Talukder, Md Jahangir Alam, Ismail Hossain, Sai Puppala, “Blockchain-Integrated Secure Framework for Enhanced E-Government Services”, Book Chapter in Building Cybersecurity Applications with Blockchain and Smart Contracts, Springer Nature, Switzerland, 2023.
  • Md Zihad Bin Jahangir, Ruksat Hossain, Riadul Islam, MD Nasim, Md Mahim Anjum Haque, Md Jahangir Alam, Sajedul Talukder, “Introduction to Medical Imaging Informatics”, Book Chapter in Data-driven approaches to Medical Imaging, Springer Nature, Switzerland, 2023.
  • Angona Biswas, MD Nasim, Md Shahin Ali, Ismail Hossain, Md Azim Ullah, Sajedul Talukder, “Active Learning on Medical Image”, Book Chapter in Data-driven approaches to Medical Imaging, Springer Nature, Switzerland, 2023.
  • Angona Biswas, MD Nasim, Al Imran, Anika Tabassum Sejuty, Fabliha Fairooz, Sai Puppala, Sajedul Talukder, “Generative Adversarial Networks for Data Augmentation”, Book Chapter in Data-driven approaches to Medical Imaging, Springer Nature, Switzerland, 2023.
  • Shuvra Sarker, Angona Biswas, MD Nasim, Md Shahin Ali, Sai Puppala, Sajedul Talukder, “Case Studies on X-Ray Imaging, MRI and Nuclear Imaging”, Book Chapter in Data-driven approaches to Medical Imaging, Springer Nature, Switzerland, 2023.
  • Tasmia Tahmida Jidney, Angona Biswas, MD Nasim, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder, Mofazzal Hossain, Md Azim Ullah, “AutoML Systems For Medical Imaging”, Book Chapter in Data-driven approaches to Medical Imaging, Springer Nature, Switzerland, 2023.
  • S. K. M Shadekul Islam, MD Nasim, Ismail Hossain, Md Azim Ullah, Kishor Datta Gupta, Sajedul Talukder, Md Monjur Hossain Bhuiyan, “Introduction of Medical Imaging Modalities”, Book Chapter in Data-driven approaches to Medical Imaging, Springer Nature, Switzerland, 2023.
  • Mosabbir Bhuiyan, MD Nasim, Sarwar Saif, Kishor Datta Gupta, Md Jahangir Alam, Sajedul Talukder, “Online learning for X-ray, CT or MRI”, Book Chapter in Data-driven approaches to Medical Imaging, Springer Nature, Switzerland, 2023.
  • Ismail Hossain, Sai Puppala, Ahmed Imteaj, Sajedul Talukder, “Predicting Diabetic Retinopathy using Federated Deep Learning”, Book Chapter in Distributed Machine Learning and Optimization: Theory and Applications, USA, 2023. [Chapter accepted]
  • Sajedul Talukder, Abdur Shahid, Bogdan Carbunar, “AI-based Detection and Defenses Against Abusive Friend Attacks in Online Social Networks”, Book Chapter in Artificial Intelligence in Cybersecurity: The State of the art, IOS-Press, USA, 2023.
  • Abdur Shahid, Sajedul Talukder, Tasnimun Faika, “Defending Against Personality Prediction Attack in Handwriting Recognition-based Systems Using a Local Differentially Private AI Framework”, Book Chapter in Artificial Intelligence in Cybersecurity: The State of the art, IOS-Press, USA, 2023.
  • Abdur Shahid, Niki Pissinou, Sajedul Talukder, “Protecting Location Privacy in Blockchain-based Mobile Internet of Things”, Book Chapter in Principles and Practice of Blockchains, Springer Nature, Switzerland, 2022.
  • Sajedul Talukder, “GPU-based Medical Image Segmentation: Brain MRI Analysis Using 3D Slicer”, Book Chapter in Artificial Intelligence Applications for Health Care, CRC Press, Taylor & Francis Group, USA, 2021.
Refereed Journal Papers
  • Md Jahangir Alam, Sultan Ahmed, Sajedul Talukder, Ismail Hossain, “Addressing Identity Deception and Promoting Integrity: Leveraging AI and NLP for Bangla Text-Based Gender Identification”, ACM Transactions on Asian and Low Resources Language Information Processing (ACM TALLIP 2024). [Accepted]
  • Ismail Hossain, Sai Puppala, Md Jahangir Alam, Sajedul Talukder, “A Visual Approach to Tracking Emotional Sentiment Dynamics in Social Network Commentaries”, Social Network Analysis and Mining (Springer Nature 2024), Springer Nature, 2024.
  • Alaa M. Alotaibi, Farid Ahmed, Sai Puppala, Sajedul Talukder, Syed Bahauddin Alam, “Adaptive Machine Learning-Based Threat Intelligence in Nuclear Facilities (AML-TIN): A Framework for Enhanced Cybersecurity in Nuclear Computing Environments”, Transactions of the American Nuclear Society (ANS Transactions 2024), 2024.
  • Raisa Bentay Hossain, Farid Ahmed, Jahangir Alam, Sajedul Talukder, Syed Bahauddin Alam, “ContextGPT: Predictive Monitoring of Nuclear Power Plant with Contextually-Informed Situational Understanding”, Transactions of the American Nuclear Society (ANS Transactions 2024), 2024.
  • Kazuma Kobayashi, Md Jahangir Alam, Sajedul Talukder, Syed Bahauddin Alam, “Enhancing OT Security in Advanced Reactors: Microsegmentation and Zero-Trust Strategies Against Emerging Cyber Threats”, Transactions of the American Nuclear Society (ANS Transactions 2024), 2024.
  • Raisa Bentay Hossain, Ismail Hossain, Sajedul Talukder, Syed Bahauddin Alam, “Enhancing the Cybersecurity of Advanced Nuclear Power Plants through Generative AI and Large Language Models”, Transactions of the American Nuclear Society (ANS Transactions 2024), 2024.
  • Sai Puppala, Farid Ahmed, Sajedul Talukder, Syed Bahauddin Alam, “Secure and Private Collaborative Anomaly Detection Framework for Advanced Reactors Using Federated Machine Learning”, Transactions of the American Nuclear Society (ANS Transactions 2024), 2024.
  • Raisa Bentay Hossain, Ismail Hossain, Sajedul Talukder, Syed Bahauddin Alam, “Natural Language Processing for Predictive Maintenance in Nuclear Power Plant: Digital Twin Context”, Transactions of the American Nuclear Society (ANS Transactions 2024), 2024.
  • Md. Faruk Hossen, Sajedul Talukder, Refatul Fahad, “AiPsych: A Mobile Application-Based Artificial Psychiatrist for Predicting Mental Illness and Recovery Suggestions Among Students”, International Journal of Artificial Intelligence & Applications (IJAIA), Mar 2022.
  • Sajedul Talukder, Md. Faruk Hossen, “CovFilter: a low-cost portable device for the prediction of COVID-19 for resource-constrained rural communities”, International Journal of Artificial Intelligence & Applications (IJAIA), Mar 2022.
  • Abu S. Shonchoy, Khandker S. Ishtiaq, Sajedul Talukder, Nasar U. Ahmed, Rajiv Chowdhury, “A novel index-based decision support toolkit for safe reopening following a generalized lockdown in low and middle-income countries”, Nature Scientific Reports, June 2021. [Impact factor: 4.576]
  • Sajedul Talukder and Bogdan Carbunar, “A Study of Friend Abuse Perception in Facebook”, ACM CHI Conference on Human Factors in Computing Systems (CHI Journals), May 2021. [Invited Journal, Top HCI Venue]
  • Sajedul Talukder and Bogdan Carbunar, “A Study of Friend Abuse Perception in Facebook”, ACM Transactions on Social Computing (ACM TSC), Vol. 1, No. 1, Jan 2020.
  • Sajedul Talukder, Md. Iftekharul Islam Sakib, Zahidur Talukder, “Giving Up Privacy For Security: A Survey On Privacy Trade-off During Pandemic Emergency”, International Journal on Cryptography and Information Security (IJCIS), Jul 2020.
  • Sajedul Talukder and Zahidur Talukder, “A Survey on Malware Detection and Analysis Tools”, International Journal of Network Security & Its Applications (IJNSA), Vol. 12, No. 2, Mar 2020.
Refereed Conference Papers
  • Ismail Hossain, Sai Puppala, Md Jahangir Alam, Sajedul Talukder, Zahidur Talukder, “A Visual Approach to Tracking Emotional Sentiment Dynamics in Social Network Commentaries”, 18th International Conference on Web and Social Media (AAAI ICWSM 2024), NY, USA, 2024.
  • Syed Mhamudul Hasan, Alaa M. Alotaibi, Sajedul Talukder, Abdur R. Shahid, “Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach”, 48th IEEE International Conference on Computers, Software, and Applications (IEEE COMPSAC 2024), 2024.
  • Ismail Hossain, Sai Puppala, Md Jahangir Alam, Sajedul Talukder, “SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Ismail Hossain, Md Jahangir Alam, Sai Puppala, Sajedul Talukder, “EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Sai Puppala, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder, Zahidur Talukder, Syed Bahauddin, “SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment”, 48th IEEE International Conference on Computers, Software, and Applications (IEEE COMPSAC 2024), 2024.
  • Sai Puppala, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder, Jannatul Ferdaus, Mahedi Hasan, Sameera Pisupati, Shanmukh Mathukumilli, “Generative AI like ChatGPT in Blockchain Federated Learning: Use Cases, Opportunities and Future”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Sai Puppala, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder, “FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Sai Puppala, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder, “SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Saika Zaman, Sajedul Talukder, Zarif Hossain, Sai Mani Teja Puppala, Ahmed Imteaj, “Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation”, 48th IEEE International Conference on Computers, Software, and Applications (IEEE COMPSAC 2024), 2024.
  • Md Jahangir Alam, Sultan Ahmed, Ismail Hossain, Sai Puppala, Zahidur Talukder, Sajedul Talukder, “SocialGuard: Bangla Text-Based Gender Identification for Enhancing Integrity in Social Networks”, 48th IEEE International Conference on Computers, Software, and Applications (IEEE COMPSAC 2024), 2024.
  • Md Jahangir Alam, Ismail Hossain, Sai Puppala, Sajedul Talukder, “Advancements in Multimodal Social Media Post Summarization: Integrating GPT-4 for Enhanced Understanding”, 48th IEEE International Conference on Computers, Software, and Applications (IEEE COMPSAC 2024), 2024.
  • Sai Puppala, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder, “SCAN: A HealthCare Personalized ChatBot with Federated Learning Based GPT”, 48th IEEE International Conference on Computers, Software, and Applications (IEEE COMPSAC 2024), 2024.
  • Md Jahangir Alam, Ismail Hossain, Sai Puppala, Sajedul Talukder, “Bangla Emotion Detection Dataset With An Extended Taxonomy And Its Evaluation”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Md Jahangir Alam, Ismail Hossain, Sai Puppala, Sajedul Talukder, “4WHContext: A Context Based Hate Speech Detection Framework From Social Media Posts”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Md Jahangir Alam, Ismail Hossain, Sai Puppala, Sajedul Talukder, “Combating Echo Chambers In Online Social Network By Increasing Content Diversity In Recommendation”, 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, 2024.
  • Md Zarif Hossain, Ahmed Imteaj, Saika Zaman, Abdur R. Shahid, Sajedul Talukder, M. Hadi Amini, “FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application”, IEEE Conference on Dependable and Secure Computing (IEEE DSC 2023), Tampa, USA, 2023.
  • Md Jahangir Alam, Ismail Hossain, Sai Puppala, Sajedul Talukder, “Combating Identity Attacks in Online Social Networks: A Multi-Layered Framework Using Zero-Knowledge Proof and Permissioned Blockchain”, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ACM ASONAM 2023), Turkey, 2023. [Acceptance Rate = 14%]
  • Ismail Hossain, Sai Puppala, Md Jahangir Alam, Sajedul Talukder, “Monitoring Dynamics of Emotional Sentiment in Social Network Commentaries”, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ACM ASONAM 2023), Turkey, 2023. [Acceptance Rate = 14%]
  • Sultan Ahmed, Md Jahangir Alam, Sajedul Talukder, Ismail Hossain, “Towards Addressing Identity Deception in Social Media using Bangla Text-Based Gender Identification”, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ACM ASONAM 2023), Turkey, 2023. [Acceptance Rate = 14%]
  • Sunzida Siddique, Rakib Hossain Rifat, Sajedul Talukder, Syed Bahauddin Alam, Kishor Datta Gupta, “Challenges and Opportunities of Computational Intelligence in Industrial Control System (ICS)”, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023), Mexico, 2023.
  • Palash Kumar Bhowmik, Syed Bahauddin Alam, Sajedul Talukder, Piyush Sabharwall, “Nuclear-Integrated Energy Units: Advancing Cybersecurity for Resilient Energy Systems”, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2023), USA, 2023.
  • Sai Puppala, Ismail Hossain, Sajedul Talukder, “Machine Learning and Sentiment Analysis for Predicting Environmental Lead Toxicity in Children at the ZIP Code Level”, 2nd IEEE International Conference on AI in Cybersecurity (IEEE ICAIC 2023), Feb 2023.
  • Ismail Hossain, Sai Puppala, Sajedul Talukder, “Collaborative Differentially Private Federated Learning Framework for the Prediction of Diabetic Retinopathy”, 2nd IEEE International Conference on AI in Cybersecurity (IEEE ICAIC 2023), Feb 2023.
  • Sai Puppala, Ismail Hossain and Sajedul Talukder, “Towards Federated Learning-based Contraband Detection within Airport Baggage X-Rays”, 3rd International Conference on Machine Learning & Applied Network Technologies (IEEE ICMLANT), Dec 2022.
  • Sajedul Talukder, Ismail Hossain, Sai Puppala, “A Novel Hierarchical Federated Learning with Self-Regulated Decentralized Clustering”, In proceedings of the 38th ACM CCSC Eastern Conference (ACM CCSC), Oct 2022, Center Valley, PA.
  • Sajedul Talukder, Sai Puppala, Ismail Hossain, “Federated Learning-based Contraband Detection within Airport Baggage X-Rays”, In proceedings of the 38th ACM CCSC Eastern Conference (ACM CCSC), Oct 2022, Center Valley, PA.
  • Sajedul Talukder, Sai Puppala, Ismail Hossain, “Prediction of Childhood and Pregnancy Lead Poisoning Using Deep Learning”, In proceedings of the 38th ACM CCSC Eastern Conference (ACM CCSC), Oct 2022, Center Valley, PA.
  • Sajedul Talukder, Nestor Hernandez, Mozhgan Azimpourkivi and Bogdan Carbunar, “User Awareness and Defenses Against Sockpuppet Friend Invitations in Facebook”, In proceedings of the ACM/SIGAPP Symposium on Applied Computing (ACM SAC), Apr 2022. [Acceptance Rate = 22%]
  • Sajedul Talukder and Riley Vaughn, “A Template for Alternative Proof of Work for Cryptocurrencies”, In proceedings of the IEEE International Conference on Smart Generation Computing, Communication and Networking (IEEE SMARTGENCON), Oct 2021.
  • Abdur Shahid and Sajedul Talukder, “Evaluating Machine Learning Models for Handwriting Recognition-based Systems under Local Differential Privacy”, In proceedings of the IEEE International Conference on Innovations in Intelligent Systems and Applications Conference (IEEE ASYU), Oct 2021. [Best Paper Award]
  • Sajedul Talukder and Neil Noyes, “Analyzing Brain Tumor MRI to Demonstrate GPU-based Medical Image Segmentation”, In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), Oct 2021.
  • Abdur Shahid and Sajedul Talukder, “A Study of Differentially Private Machine Learning in Healthcare”, In proceedings of the IEEE International Conference on Innovations in Intelligent Systems and Applications Conference (IEEE ASYU), Oct 2021.
  • Sajedul Talukder and Abdur Shahid, “Applying Local Differential Privacy in Handwriting Recognition-based Systems”, In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), Oct 2021.
  • Sajedul Talukder and Abdur Shahid, “Enhancing Alternative Proof of Work for Cryptocurrencies Using Machine Learning”, In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), Oct 2021.
  • Abdur Shahid and Sajedul Talukder, “Privacy-Preserving Activity Recognition from Sensor Data”, In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), Oct 2021.
  • Abdur Shahid and Sajedul Talukder, “Evaluation of Privacy-Preserving Logistic Regression and Naive Bayes Classifiers in Healthcare”, In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), Oct 2021.
  • Sajedul Talukder, “Towards Understanding Privacy Trade-off In An Epidemic”, In proceedings of the 36th ACM CCSC Eastern Conference (ACM CCSC), Oct 2020.
  • Abu S. Shonchoy, Khandker S. Ishtiaq, Sajedul Talukder, Rajiv Chowdhury, Nasar U. Ahmed, “Large-Scale Reopening during COVID-19 Pandemic: An Index-based Decision Making for Resource-limited Countries”, The Global Health Conference of the Americas (GHC), Oct 2020.
  • Sajedul Talukder, “Privacy and Security Vulnerabilities in Health Care Infrastructure Mobile Technology”, In proceedings of the 36th ACM CCSC Eastern Conference (ACM CCSC), Oct 2020.
  • Riley Vaughn and Sajedul Talukder, “A Template for Useful Proof of Work”, In proceedings of the 36th ACM CCSC Eastern Conference (ACM CCSC), Oct 2020.
  • Sajedul Talukder, “Tools and Techniques for Malware Detection and Analysis”, Semantic Scholar, Feb 2020. Available at : semanticscholar.org.
  • Sajedul Talukder, “AbuSniff: An Automated Social Network Abuse Detection System”, In proceedings of the 35th ACM CCSC Eastern Conference (ACM CCSC), Oct 2019, Moon, PA.
  • Sajedul Talukder and Bogdan Carbunar, “AbuSniff: Automatic Detection and Defenses Against Abusive Facebook Friends”, Proceedings of the 12th International Conference on Web and Social Media (AAAI ICWSM), Jun 2018. [Acceptance Rate = 16%]
  • Sajedul Talukder, Md. Iftekharul Islam Sakib, Md. Faruk Hossen, Zahidur Rahim Talukder and Md. Shohrab Hossain, “Attacks and Defenses in Mobile IP: Modeling with Stochastic Game Petri Net”, In proceedings of the IEEE International Conference on Current Trends in Computer, Electrical, Electronics and Communication (IEEE ICCTCEEC), Sep 2017. [Best Paper Award]
  • Sajedul Talukder, Md. Iftekharul Islam Sakib, Zahidur Rahim Talukder, Upoma Das, Arnob Saha and Nur Sultan Nazar Bayev, “USenSewer: Ultrasonic Sensor and GSM-Arduino Based Automated Sewerage Management”, In proceedings of the IEEE International Conference on Current Trends in Computer, Electrical, Electronics and Communication (IEEE ICCTCEEC), Sep 2017.
  • Sajedul Talukder and Bogdan Carbunar, “When Friend Becomes Abuser: Evidence of Friend Abuse in Facebook”, In proceedings of the 9th ACM Conference on Web Science (ACM WebSci), Jun 2017, Troy, NY.
  • Sajedul Talukder, Md. Iftekharul Islam Sakib and Md. Mustafizur Rahman, “Digital Land Management System : A new initiative for Bangladesh”, In proceedings of the 1st IEEE International Conference on Electrical Engineering and Information & Communication Technology (IEEE ICEEICT), Apr 2014.
  • Sajedul Talukder, Md. Iftekharul Islam Sakib and Md. Mustafizur Rahman, “Model for E-Government in Bangladesh: A Unique ID Based Approach”, In proceedings of the 3rd IEEE International Conference on Informatics, Electronics & Vision (IEEE ICIEV), May 2014.
Workshops, Posters and Technical Report
  • Sajedul Talukder, Md. Iftekharul Islam Sakib, Md. Faruk Hossen and Md. Shohrab Hossain, “Security Issues and Protection Mechanisms of IP Mobility Protocols”, Workshop on Mobile Computing and Human Computer Interaction (WMCHCI), January 2014, Dhaka, Bangladesh.
  • Sajedul Talukder, Md. Iftekharul Islam Sakib, Md. Faruk Hossen and Md. Shohrab Hossain, “Investigations of IP Mobility Protocols: A Petri Game Net Approach”, Workshop on Design and Implementation of Emerging Computing Systems (WECS), September 2013, Dhaka, Bangladesh.
  • Sajedul Talukder, Shalisha Witherspoon, Kanishk Srivastava and Ryan Thompson, “Mobile Technology in Healthcare Environment: Security Vulnerabilities and Countermeasures”, School of Computing and Information Sciences, Florida International University, 2018. Available at : semanticscholar.org. [pdf]
Invited Talks and Presentations
  • Detection and Defenses Against Abusive Friend Attacks in Online Social Networks, Research Seminar, Department of Computer Science, Texas Tech University, PA, USA, May 2023.
  • Let’s Talk Research: NSF Proposal Workshop, Panelist for NSF CRII, Southern Illinois University, IL, USA, Apr 2023.
  • Identifying and Countering Abusive Friend Requests in Online Social Networks, Research Seminar, Department of Computer Science, University of Alabama at Birmingham, AL, USA, Feb 2023.
  • Detection and Defenses Against Abusive Friend Attacks in Online Social Networks, Research Seminar, Department of Computer Science, University of North Texas, PA, USA, Jan 2023.
  • Identifying and Protecting Against Abusive Friend Requests in Online Social Networks, Research Seminar, Department of Computer Science, University of Wisconsin-Milwaukee, WI, USA, Dec 2022.
  • AbuSniff: An Automated Social Network Abuse Detection System, CS Colloquium, Department of Computer Science, Sonoma State University, CA, USA, Aug 2021.
  • Building Automated Systems to Tackle Online Social Networking Risks, Computer Science Club, Pennsylvania Western University, PA, USA, Feb 2020.
  • How dangerous can the Internet be? A look into online security, STEM Day, Pennsylvania Western University, PA, USA, Oct 2019.
  • Detection And Prevention Of Abuse In Online Social Networks, School of Computing and Information Sciences, Florida International University, FL, USA, Mar 2019.
  • When Your Friend Becomes Abuser in Facebook, ICWSM Science Slam at Dutch Goose, Stanford University, CA, USA, Jun 2018.
  • Automatic Detection and Defenses Against Abusive Facebook Friends, Conference talk at Stanford University, CA, USA, Jun 2018.
  • Using Petri Net to Model Attacks and Defenses in IP Mobility Protocols, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, May 2014.