Patent

1. Mohammadhadi Amini, Naphtali D. Rishe, Khandaker Mamun Ahmed, “Anomalous activity recognition in videos”, Patent No. 11875566, Jan 16, 2024. U.S. Patent and Trademark Office.

2. Khandaker Mamun Ahmed, Hadi Amini, Shamim Yazdani, ``Systems and Methods for Detecting Anomalies in Videos", U.S. Patent Application Docket No. FIU.563 (Submitted).

Peer-Reviewed Journal & Conference Papers

1. Toxicity in State Sponsored Information Operations 

Ashfaq Ali Shafin, Khandaker Mamun Ahmed, "Toxicity in State Sponsored Information Operations", The 36th ACM Conference on Hypertext and Social Media, 2025.

2. The Language of Influence: Sentiment, Emotion, and Hate Speech in State Sponsored Influence Operations

Ashfaq Ali Shafin, Khandaker Mamun Ahmed, "The Language of Influence: Sentiment, Emotion, and Hate Speech in State Sponsored Influence Operations", the 18th International Conference on PErvasive Technologies Related to Assistive Environment (PETRA), 2025. 

3. Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines

Cheenepalli, Jayaprakashreddy, John D. Hastings, Khandaker Mamun Ahmed, and Chad Fenner. "Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines." 13th International Symposium on Digital Forensics and Security, 2025. 

4. A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Healthcare Systems (Book Chapter)

Ahmed, Khandaker Mamun, Badhan Chandra Das, Yasaman Saadati, and M. Hadi Amini. "A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Healthcare Systems." Distributed Machine Learning and Computing: Theory and Applications (2024): 71-110.

5. Towards Real-time House Detection in Aerial Imagery Using Faster Region-based Convolutional Neural Network 

Khandaker Mamun Ahmed; Ghareh Mohammadi, Farid; Matus, Manuel; Shenavarmasouleh, Farzan; Manella Pereira, Luiz; Ioannis, Zisis; and Amini, M. Hadi "Towards Real-time House Detection in Aerial Imagery Using Faster Region-based Convolutional Neural Network ", IPSI Transactions on Internet Research, vol. 19(2), pp. 46-54, 2023. https://doi.org/10.58245/ipsi.tir.2302.06

6. Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art (Book Chapter).

Imteaj, Ahmed, Khandaker Mamun Ahmed, Urmish Thakker, Shiqiang Wang, Jian Li, and M. Hadi Amini. "Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art." Federated and Transfer Learning (2023): 7-27. DOI: https://doi.org/10.1007/978-3-031-11748-0_2 

7.  A Federated Learning Framework for Automated Decision Making with Microscopic Traffic Simulation

K. M. Ahmed, S. Muvdi, J. Liu and M. H. Amini, "A Federated Learning Framework for Automated Decision Making with Microscopic Traffic Simulation," 2022 International Conference on Computer Communications and Networks (ICCCN), 2022, pp. 1-9, doi: 10.1109/ICCCN54977.2022.9868930.

8. Federated Deep Learning for Heterogeneous Edge Computing 

K. M. Ahmed, A. Imteaj and M. H. Amini, "Federated Deep Learning for Heterogeneous Edge Computing," 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 1146-1152, DOI: 10.1109/ICMLA52953.2021.00187

9. DeepCOVIDNET: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiography Images

K. M. Ahmed, T. Eslami, F. Saeed and M. H. Amini, "DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images," 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 1703-1710, DOI: 10.1109/BIBM52615.2021.9669767 

10. Federated Deep Learning for Heterogeneous Mobile Robots 

Khandaker Mamun Ahmed and Ahmed Imteaj, and M. H. Amini "Federated Deep Learning for Heterogeneous Mobile Robots" accepted for presentation at the Southeast Decision Sciences Institute 2022 event in Jacksonville, Florida! 

11. Trend Analysis of Large-Scale Twitter Data Based on Witnesses during a Hazardous Event: A Case Study on California Wildfire Evacuation  

Morshed, Syed A., Khandakar Mamun Ahmed, and Kamar Amine. "Trend Analysis of Large-Scale Twitter Data Based on Witnesses during a Hazardous Event: A Case Study on California Wildfire Evacuation." World Journal of Engineering and Technology 9.2 (2021): 229-239.  DOI: 10.4236/wjet.2021.92016 

12. Text to Speech Synthesis for Bangla Language

Ahmed, Khandaker Mamun, Prianka Mandal, and BM Mainul Hossain. "Text to Speech Synthesis for Bangla Language." International Journal of Information Engineering and Electronic Business 10.2 (2019): 1. DOI: 10.5815/ijieeb.2019.02.01 

Posters

1. Poster Presentation: Khanh Nguyen & Khandaker Mamun Ahmed, "Optimization of Phi-2 Small Language Models for Chatbot Applications Using Parameter-efficient Fine-tuning with QLoRA Quantization", DSU Research Symposium, 2025.

2. Poster Presentation: 𝐂𝐚𝐭𝐡𝐞𝐫𝐢𝐧𝐞 𝐇𝐨𝐢𝐞𝐫 𝐚𝐧𝐝 𝐊𝐡𝐚𝐧𝐝𝐚𝐤𝐞𝐫 𝐌𝐚𝐦𝐮𝐧 𝐀𝐡𝐦𝐞𝐝, "AI Super Resolution for Structural Damage Detection from Low-Quality Sources", SDSU Data Science Symposium 2025.🏅(3rd place award).  Link

3. Poster Presentation: 𝐓𝐚𝐩𝐢𝐰𝐚 𝐀𝐦𝐢𝐨𝐧 𝐂𝐡𝐢𝐧𝐨𝐝𝐚𝐤𝐮𝐟𝐚 𝐚𝐧𝐝 𝐊𝐡𝐚𝐧𝐝𝐚𝐤𝐞𝐫 𝐌𝐚𝐦𝐮𝐧 𝐀𝐡𝐦𝐞𝐝, "Generative AI for Synthetic Data Creation: Building Mastery-Focused Educational Datasets", SDSU Data Science Symposium 2025.  Link

4. Poster Presentation: 𝐍𝐧𝐚𝐞𝐦𝐞𝐤𝐚 𝐂𝐡𝐚𝐫𝐥𝐞𝐬 𝐈𝐠𝐰𝐞 𝐚𝐧𝐝 𝐊𝐡𝐚𝐧𝐝𝐚𝐤𝐞𝐫 𝐌𝐚𝐦𝐮𝐧 𝐀𝐡𝐦𝐞𝐝, "Machine Learning and SHAP Interpretability for Chronic Disease Understanding", SDSU Data Science Symposium 2025. Link

5. Poster Presentation: 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐁𝐡𝐮𝐭𝐭𝐚, 𝐊𝐡𝐚𝐧𝐝𝐚𝐤𝐞𝐫 𝐌𝐚𝐦𝐮𝐧 𝐀𝐡𝐦𝐞𝐝, 𝐀𝐛𝐢𝐝 𝐌𝐞𝐡𝐦𝐨𝐨𝐝, 𝐘𝐨𝐮𝐬𝐬𝐞𝐟 𝐇𝐚𝐫𝐫𝐚𝐭𝐡, 𝐚𝐧𝐝 𝐉𝐢𝐡𝐞𝐧𝐞 𝐊𝐚𝐚𝐛𝐢, "Enhancing Crop Yield Through Efficient Anomaly Detection Using Transfer Learning and Multispectral Satellite Imagery", SDSU Data Science Symposium 2025.  Link