Aman Singh Thakur, "Wearable Sensor Data Collection Pipeline for Spatiotemporal Adversarial Machine Learning Research" (2024). Graduate Research Project. [Read the detail]
Satwik Boyina, "Hexoskin Vest Data Integration Framework for Enhanced Human Activity Recognition" (2024). Graduate Research Project. [Read the detail]
Embedded Files
Book Chapters
Abdur R. Shahid, Niki Pissinou, and Sajedul Talukder. "Protecting Location Privacy in Blockchain-based Mobile Internet of Things". In: Daimi, K., Dionysiou, I., El Madhoun, N. (eds) Principles and Practice of Blockchains. Springer, Cham. https://doi.org/10.1007/978-3-031-10507-4_5.
Journals
Syed Mhamudul Hasan, Taminul Islam, Munshi Saifuzzaman, Khaled R Ahmed, Chun-Hsi Huang, Abdur R. Shahid, "Carbon Emission Quantification of Machine Learning: A Review", IEEE Transactions on Sustainable Computing (2025)
Syed M Hasan, Abdur R Shahid, Ahmed Imteaj, "Evaluating Sustainability and Social Costs of Adversarial Training in Machine Learning", IEEE Consumer Electronics Magazine (2024)
Abdur R. Shahid, Sushma Mishra, "A Framework for A Masters in Applied Artificial Intelligence Program in Computer and Information Systems Discipline", Journal of Information Systems Education. (Volume 35, Issue 4, Dec. 2024)
Abdur R. Shahid, Ahmed Imteaj, "Sticks and Stones May Break My Bones, But Words Will Never Hurt Me! — Navigating the Cybersecurity Risks of Generative AI", AI & Society, 2024.
Abdur R. Shahid and Ahmed Imteaj, "Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks", In IEEE Transactions on Artificial Intelligence (2024).
Ahmed Imteaj, Abdur R. Shahid, and Saika Zaman, "Leveraging Blockchain Interoperability for Interdependent Networks", in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2023.3245283.
Abdur R. Shahid, Niki Pissinou, S.S. Iyengar, and Kia Makki. "Delay-Aware Privacy-Preserving Location-Based Services under Spatiotemporal Constraints". International Journal of Communication Systems, 34(1), e4656.
Wei Zeng, Muhammad Razib, and Abdur R. Shahid. "Diffeomorphism Spline." Axioms 4, no. 2 (2015): 156-176.
Conferences
Soumik, Mohd, Farhan Israk, Syed Mhamudul Hasan, and Abdur R. Shahid. "Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets." arXiv preprint arXiv:2506.03870 (2025).
Malithi Wanniarachchi Kankanamge, Nick McKenna, Santiago Carmona, Syed Mhamudul Hasan, Abdur R Shahid, Ahmed Imteaj, "Digital Forensic Investigation of the ChatGPT Windows Application", arXiv preprint arXiv:2505.23938
Syed Mhamudul Hasan, Hussein Zangoti, Iraklis Anagnostopoulos, Abdur R. Shahid, "Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense via Model Pruning", arXiv preprint arXiv:2505.06454
Awal Ahmed Fime, Md Zarif Hossain, Saika Zaman, Abdur R Shahid, Ahmed Imteaj, "Benchmarking Large Language Models for Resource-Efficient Medical AI at the Edge", In The 2025 AAAI Spring Symphosium.
Malithi Wanniarachchi Kankanamge, Abdur R. Shahid, Ning Yang, S M Jamil Uddin and Rahul Biswas, "Development of a Fall Detection and Safety Communication System Using Small Language Models", In The 42nd International Symposium on Automation and Robotics in Construction (ISARC 2025)
S M Jamil Uddin, Abdur R. Shahid, Mohd Farhan Israk Soumik, and Ziyu Jin, "Development of a Hand-Arm Vibration Syndrome (HAVS) Detection Tool for Construction Workers", In The 42nd International Symposium on Automation and Robotics in Construction (ISARC 2025)
Nishi Chaudhary, S M Jamil Uddin, Mahzabin Tamanna, Alex Albert, and Abdur R. Shahid, "How Reliable Are Large Language Models? Zero-Shot Detection of Construction Hazards", In The 42nd International Symposium on Automation and Robotics in Construction (ISARC 2025)
Malithi Wanniarachchi Kankanamge, Abdur R. Shahid and Ning Yang, "Zero-Shot Detection and Sanitization of Data Poisoning Attacks in Wearable AI using Large Language Models", In The 23rd International Conference on Machine Learning and Applications (ICMLA 2024)
Malithi Wanniarachchi Kankanamge, Abdur R. Shahid and Ning Yang, "Intelligent Fall Detection and Emergency Response for Smart Homes Using Language Models", In The 23rd International Conference on Machine Learning and Applications (ICMLA 2024)
Malithi Wanniarachchi Kankanamge, Syed Mhamudul Hasan, Abdur R. Shahid and Ning Yang, "Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture", In The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024)
Abdur R. Shahid, Syed Mhamudul Hasan, Malithi Wanniarachchi Kankanamge, Md Zarif Hossian and Ahmed Imteaj, "WatchOverGPT: A Framework for Real-Time Crime Detection and Response Using Wearable Camera and Large Language Model (LLM)", , In The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024)
Ahmed Imteaj, Tanveer Rahman, Saika Zaman, Md Zarif Hossain and Abdur R. Shahid, "Enhancing Road Safety through Cost-Effective, Real-Time Monitoring of Driver Awareness with Resource-Constrained IoT Devices", In The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024)
Syed Mhamudul Hasan, Alaa M Alotaibi, Sajedul K Talukder and Abdur R. Shahid, "Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach", In The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024)
Oleksandr Jockusch, Md Zarif Hossain, Ahmed Imteaj, Abdur R. Shahid, "Generative AI-Based Land Cover Classification Via Federated Learning CNNs: Sustainble Insights from UAV Imagery". In The 11th IEEE Conference on Technology for Sustainability (SusTech 2024).
Syed Mhamudul Hasan, Abdur R. Shahid, Ahmed Imteaj, "The Environmental Price of Ingelligence: Evaluating the Social Cost of Carbon in Machine Learning". In The 11th IEEE Conference on Technology for Sustainability (SusTech 2024)
MZ Hossain, Ahmed Imteaj, and Abdur R. Shahid, "FLID: Intrusion Attack and Defense Mechanism for Federated Learning-Empowered Connected Autonomous Vehicle (CAVs) Application". In The 2023 IEEE Conference on Depdendable and Secure Computing (IEEE DSC).
Abdur R. Shahid, and Ahmed Imteaj, " Data Poisoning Attack Against Federated Learning-Based Wearable Human Activity Recognition System". In The 2023 IEEE Conference on Smart Computing (SMARTCOMP), 2023.
Abdur R. Shahid, Ahmed Imteaj, Peter Y. Wu, Diane A. Igoche, Tauhidul Alam, "Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System". In 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022.
Hussein Zangoti, Alex P. Makki, Niki Pissinou, Abdur R. Shahid, Omar J. Guerra, Joel Rodriguez, "A Multidimensional Blockchain Framework For Mobile Internet of Things". In 2022 International Conferences on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE.
Abdur R. Shahid, and Sajedul Talukder, "Evaluating Machine Learning Models for Handwriting Recognition-based Systems under Local Differential Privacy", 2021 Innovations in Intelligent Systems and Applications Conference (ASYU), pp. 1-6. IEEE, 2021
Abdur R. Shahid, and Sajedul Talukder, "A Study of Differentially Private Machine Learning in Healthcare", 2021 Innovations in Intelligent Systems and Applications Conference (ASYU), pp. 1-6. IEEE, 2021
Abdur R. Shahid, and Sajedul Talukder, "Applying Local Differential Privacy in Handwriting Recognition-based Systems", In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), October 2021.
Abdur R. Shahid, and Sajedul Talukder, "Enhancing Alternative Proof of Work for Cryptocurrencies Using Machine Learning", In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), October 2021.
Abdur R. Shahid, and Sajedul Talukder, "Privacy-Preserving Activity Recognition from Sensor Data", In proceedings of the 37th ACM CCSC Eastern Conference (ACM CCSC), October 2021.
Abdur R. 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), October 2021.
T. Alam, J. Taylor, J. Taylor,S. Badsha, A. Shahid, and A. S. M. Kayes, “Leveraging Blockchain for Spoof-Resilient Robot Networks, 13th International Conference on Intelligent Robotics and Applications” (ICIRA 2020), LNCS, Springer
Arpan Bhattacharjee, Shahriar Badsha, Abdur R. Shahid, Hanif Livani, and Shamik Sengupta, "Block-Phasor: A Scalable Blockchain Framework to Enhance Security of Synchrophasor and Smart Meter". 2020 IEEE Kansas Power and Energy Conference (KPEC), 2020.
Abdur R. Shahid, Niki Pissinou, Sheila Alemany, Ahmed Imteaj, Kia Makki, and Laurent Njilla. "Quantifying Location Privacy in Permissioned Blockchain-based Internet of Things (IoT)". In 2019 EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2019.
Abdur R. Shahid, Niki Pissinou, Corey Staier, and Rain Kwan. "Sensor-Chain: A Lightweight Scalable Blockchain Framework for Internet of Things". In 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 1154-1161). IEEE.
Yujian Tang, Samia Tasnim, Niki Pissinou, S. S. Iyengar, and Abdur R. Shahid. "Reputation-Aware Data Fusion and Malicious Participant Detection in Mobile Crowdsensing." In 2018 IEEE International Conference on Big Data (Big Data), pp. 4820-4828. IEEE, 2018.
Abdur R. Shahid, Niki Pissinou, S. S. Iyengar, and Kia Makki. "Check-ins and Photos: Spatiotemporal Correlation-Based Location Inference Attack and Defense in Location-Based Social Networks." In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), pp. 1852-1857. IEEE, 2018.
Abdur R. Shahid, Niki Pissinou, S. S. Iyengar, Jerry Miller, Ziqian Ding, and Teresita Lemus. "KLAP for Real-World Protection of Location Privacy." In 2018 IEEE World Congress on Services (IEEE SERVICES), pp. 17-18. IEEE, 2018.
Abdur R. Shahid, Liz Jeukeng, Wei Zeng, Niki Pissinou, S. S. Iyengar, Sartaj Sahni, and Maite Varela-Conover. "PPVC: Privacy-Preserving Voronoi Cell for location-based services." In 2017 International Conference on Computing, Networking and Communications (ICNC), pp. 351-355. IEEE, 2017.
Workshops, Posters, and Demo
Workshops, Posters, and Demo
Awal Ahmed Fime, Md Zarif Hossain, Saika Zaman, Abdur R Shahid, Ahmed Imteaj, "Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks", In The 2025 IEEE / CVF Computer Vision and Pattern Recognition Conference Workshop (CVPRW).
Mohd. Farhan Israk Soumik, W.K.M Mithsara, Ahmed Imteaj, Abdur Rahman Bin Shahid, Audio Editing Features As User-Centric Privacy Defenses Against Large Language Model (LLM)-Based Emotion Inference Attacks, The Sixth AAAI-25 Workshop on Privacy-Preserving Artificial Intelligence (AAAI PPAI 2025).
Malithi Wanniarachchi Kankanamge, Abdur R. Shahid and Ning Yang, "Poster: Leveraging Large Language Models for Zero-Shot Detection and Mitigation of Data Poisoning in Wearable AI Systems", In The NeurIPS workshop on GenAI for Health: Potential, Trust and Policy Compliance (GenAI4Health-NeurIPS 2024)
Syed Mhamudul Hasan, Malithi Wanniarachchi Kankanamge, Abdur R. Shahid, Ahmed Imteaj, and Hussein Zangoti, "Energy-Latency Sponge Attack on Wearable AI", In The IEEE-EMBS International Conference on Body Sensor Networks (IEEE BSN) 2024.
Malithi Wanniarachchi Kankanamge, Abdur R. Shahid and Ning Yang, "Detection of Poisoning Attacks in Human Activity Recognition using Large Language Models", In The IEEE-EMBS International Conference on Body Sensor Networks (IEEE BSN) 2024.
Md Zarif Hossain, Ahmed Imteaj and Abdur R. Shahid, "FLAMINGO: Adaptive and Resilient Federated Meta-Learning against Adversarial Attacks," In the IEEE AI-DCS of the 44th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2024).
Syed Mhamudul Hasan, Abdur R. Shahid, and Ahmed Imteaj, "Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning", In the GreenNet of the IEEE International Conference on Communications (IEEE ICC 2024)
Abdur R. Shahid, Syed Mhamudul Hasan, Ahmed Imteaj, and Shahriar Badsha, "Context-Aware Spatiotemporal Poisoning Attacks on Wearable Human-Activity Recognition", In 2024 IEEE International Conference on Computer Communications (IEEE INFOCOM), 2024.
Melinda Goda and Kaylan Sheally, and Abdur R. Shahid, "Breast-Cancer Classification using Differentially-Private Machine Learning " In Consortium for Computing Sciences in Colleges, (CCSC:Northeast), 2021 (Runner up in Best Poster Award)
Deigo Marti Perez, and Abdur R. Shahid, "Human Activity Recognition with Privacy-Preserving Machine Learning " In Consortium for Computing Sciences in Colleges, (CCSC:Central Plains), 2021
Kaylan Sheally, and Abdur R. Shahid, "Privacy-Preserving Machine Learning and Blockchain for Secure Distributed UAV Networks " In Consortium for Computing Sciences in Colleges, (CCSC:Central Plains), 2021
Abdur R. Shahid, Niki Pissinou, laurent Njilla, Edwin Aguilar, and Eric Perez. "Demo: Towards the Development of a Differentially Private Lightweight and Scalable Blockchain for IoT." In 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), IEEE. (Final Deliverable of US AAFSOR grant-supported research project. Reach the entire research from here.)
Non Peer-Reviewed Publications
Non Peer-Reviewed Publications
[M1] Zeng, Wei, Abdur B. Shahid, Keyan Zolfaghari, Aditya Shetty, Niki Pissinou, and Sitharama S. Iyengar. "n-VDD: Location Privacy Protection Based on Voronoi-Delaunay Duality." arXiv preprint arXiv:1906.09158 (2019).
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