Khandaker Mamun Ahmed

• Artificial Intelligence
• Machine Learning
• Federated Learning
• Computer Vision
• Algorithms and Optimization
• A.I. Capstone
• Data Structures

• Computer vision and multimodal AI
• Federated and privacy-preserving AI
• Cybersecurity and information operations
• Edge AI and intelligent systems

• Travel Grant, Dakota State University, 2025 and 2026
• Best Graduate Student in Research Award, Florida International University, 2022
• Travel Grant, Florida International University, Graduate and Professional Student Committee (GPSC), 2021 and 2022
• Travel Grant, the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021

Introduction to Computer Vision and Image Processing — IBM, Coursera. Certificate of Completion, 2025.

• Co-Principal Investigator: “Secure AI-Driven Crop Anomaly Detection System,” supported by the State of South Dakota through the CyberAg Precision Agriculture Cybersecurity Partnership. Total project funding: $175,000.
• Co-Principal Investigator: South Dakota Center for Advanced Research in Materials, Operations, and Resilience (SD-ARMOR), a Governor’s Research Center, contributing to Pillar 2: Critical Infrastructure Protection and Cyber Resilience. (DSU allocation: $1,458,899)
• Faculty Research Mentor, DSU Graduate Research Initiative, 2024–2025: Mentored Khanh Nguyen on “Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization.” Student research award: $500.
• Faculty Research Mentor, DSU Graduate Research Initiative, 2026–2027: Mentoring Martin Antwi Debrah on “Post-Quantum Cryptography Meets System Heterogeneity: Measuring Client Participation Bias in Federated Learning.” Student research award: $500.

• Shafin, A. A., and Khandaker Mamun Ahmed. “Not All Duplicates Are Coordination: Generic vs. Non-Generic Duplicate Campaigns in Information Operations.” EMNLP, W-NUT Workshop, 2026.
• Shakya, B., Hoier, C., and Khandaker Mamun Ahmed. “From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 9305–9314, 2026.
• Shafin, A. A., and Khandaker Mamun Ahmed. “PatchRisk: Forecasting Future Vulnerability Exposure in Open-Source Dependency Networks.” IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2026.
• Dana, M., and Khandaker Mamun Ahmed. “Hybrid Ensemble Learning for EEG-Based Epileptic Seizure Forecasting.” IEEE Cyber Awareness Research Symposium (CARS), 2026.
• Momoh, J., and Khandaker Mamun Ahmed. “Synthetic Thermal Image Generation for Real-Time Animal Detection Under Low-Visibility Conditions.” IEEE Cyber Awareness Research Symposium (CARS), 2026.
• Chinodakufa, T. A., Shafin, A. A., and Khandaker Mamun Ahmed. “Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models.” AAAI Conference on Artificial Intelligence, AI4EDU Workshop, 2026.
• Shafin, A. A., and Khandaker Mamun Ahmed, "Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction", 25th International Conference on Machine Learning and Applications (ICMLA), 2026.
• Shakya, B., Hai, J., Mehmood, A., Harrath, Y., Kaabi, J., Wambui, D., Gyawali, R., and Khandaker Mamun Ahmed. “Privacy-Utility Tradeoffs in Federated Learning for Hyperspectral Crop Imagery.” International Conference on Applied Computing (CAC), 2026.
• Wambui, D., Gyawali, R., Harrath, Y., Kaabi, J., Khandaker Mamun Ahmed, and Mehmood, A. “Advancing Food Security Through Hyperspectral Crop Anomaly Detection Using Deep Unsupervised Learning.” International Conference on the AI Revolution: Research, Ethics, and Society, 2026.
• Shakya, B., El-Gayar, O., Kaabi, J., and Khandaker Mamun Ahmed. “Small-Object Detection at the Edge: A Pareto-Efficient Benchmark of Lightweight YOLO Models on UAV and Overhead Datasets.” IEEE Access, vol. 14, pp. 528–548, 2025.
• Hoier, C., and Khandaker Mamun Ahmed. “Structural Damage Detection Using AI Super Resolution and Vision Language Model.” International Conference on Machine Learning and Applications (ICMLA), 2025.
• Bradley, A., Hastings, J., and Khandaker Mamun Ahmed. “Introducing Axlerod: An LLM-Based Chatbot for Assisting Independent Insurance Agents.” IEEE Cyber Awareness and Research Symposium (CARS), 2025.
• Shafin, A. A., and Khandaker Mamun Ahmed. “Toxicity in State Sponsored Information Operations.” ACM Conference on Hypertext and Social Media, 2025.
• Shafin, A. A., and Khandaker Mamun Ahmed. “The Language of Influence: Sentiment, Emotion, and Hate Speech in State Sponsored Influence Operations.” International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), 2025.
• Cheenepalli, J., Hastings, J. D., Khandaker Mamun Ahmed, and Fenner, C. “Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines.” International Symposium on Digital Forensics and Security (ISDFS), pp. 1–6, 2025.
• Khandaker Mamun Ahmed, Das, B. C., Saadati, Y., and Amini, M. H. “A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Healthcare Systems.” In Distributed Machine Learning and Computing: Theory and Applications, pp. 71–110, 2024.
• Khandaker Mamun Ahmed, Ghareh Mohammadi, F., Matus, M., Shenavarmasouleh, F., Manella Pereira, L., Zisis, I., and Amini, M. H. “Towards Real-time House Detection in Aerial Imagery Using Faster Region-based Convolutional Neural Network.” IPSI Transactions on Internet Research, 19(2), pp. 46–54, 2023.
• Imteaj, A., Khandaker Mamun Ahmed, Thakker, U., Wang, S., Li, J., and Amini, M. H. “Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art.” In Federated and Transfer Learning, pp. 7–27, 2022.
• Khandaker Mamun Ahmed, Muvdi, S., Liu, J., and Amini, M. H. “A Federated Learning Framework for Automated Decision Making with Microscopic Traffic Simulation.” International Conference on Computer Communications and Networks (ICCCN), pp. 1–9, 2022.
• Khandaker Mamun Ahmed, Imteaj, A., and Amini, M. H. “Federated Deep Learning for Heterogeneous Edge Computing.” IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1146–1152, 2021.
• Khandaker Mamun Ahmed, Eslami, T., Saeed, F., and Amini, M. H. “DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1703–1710, 2021.

• Khandaker Mamun Ahmed. “Anomaly Detection in Surveillance Videos.” Half-day workshop facilitator, DHS CINA Summer Research Workshop, Fairfax, Virginia, 2023.