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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
IWS Challenge 2022: Integrated AI for Water Systems
Published:
Competition-winning AI stack combining prediction, protection, and optimization for wastewater systems.
DeepAg: Precision Farming Anomaly Detection
Published:
Deep learning and Isolation Forest pipeline to flag economic and operational anomalies in agriculture.
Model-Agnostic Assurance (ALSP)
Published:
Game-theoretic, model-agnostic assurance pipeline combining explainability, fairness, and security scores for AI systems.
cP2O: Context-Aware Water Level Forecasting
Published:
Context-aware dilated LSTM with attention for 4–6 hour wastewater tunnel level forecasts.
Adversarial Image Detection in Agriculture
Published:
Detect and attribute GAN/diffusion-generated plant images for Agriculture 4.0 cyber-biosecurity.
Agentic AI Security
Published:
Trustworthy AI for cybersecurity, focusing on networked and communications-enabled systems, agentic AI, and generative models.
publications
Implementation of microcontroller based Maximum Power Point Tracker (MPPT) using SEPIC converter
Published in 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 374–377, 2015
Authors: Chakma, S., Sikder, N. K., Khan, S. I., & Akhter, S.
Recommended citation: Chakma, S., Sikder, N. K., Khan, S. I., & Akhter, S. (2015). "Implementation of microcontroller based Maximum Power Point Tracker (MPPT) using SEPIC converter." 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 374–377.
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Applications of Machine Learning for Precision Agriculture and Smart Farming
Published in The International FLAIRS Conference Proceedings, 34, 2021
Authors: Gurrapu, S., Sikder, N., Wang, P., Gorentala, N., Williams, M., & Batarseh, F. A.
Recommended citation: Gurrapu, S., Sikder, N., Wang, P., Gorentala, N., Williams, M., & Batarseh, F. A. (2021). "Applications of Machine Learning for Precision Agriculture and Smart Farming." The International FLAIRS Conference Proceedings, 34.
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Quantification of Peak Demand Reduction Potential in Commercial Buildings due to HVAC Set Point and Brightness Adjustment
Published in 2021 IEEE Power & Energy Society General Meeting (PESGM), 1–6, 2021
Authors: Usman, M. U., Haque, A., Sikder, M. N. K., Cai, M., Bradley, S. R., Pandey, S., Kliros, C., & Zhang, L.
Recommended citation: Usman, M. U., Haque, A., Sikder, M. N. K., Cai, M., Bradley, S. R., Pandey, S., Kliros, C., & Zhang, L. (2021). "Quantification of Peak Demand Reduction Potential in Commercial Buildings due to HVAC Set Point and Brightness Adjustment." 2021 IEEE Power & Energy Society General Meeting (PESGM), 1–6.
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DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy
Published in IEEE Symposium Series on Computational Intelligence (SSCI), 1–8, Orlando, FL, 2021
Authors: Gurrapu, S., Batarseh, F. A., Wang, P., Sikder, M. N. K., Gorentala, N., & Gopinath, M.
Recommended citation: Gurrapu, S., Batarseh, F. A., Wang, P., Sikder, M. N. K., Gorentala, N., & Gopinath, M. (2021). "DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy." IEEE Symposium Series on Computational Intelligence (SSCI), 1–8, Orlando, FL.
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Realtime Management of Wastewater Treatment Plants Using AI
Published in Virginia Tech & DC Water, 2022
Authors: Batarseh, F. A., Yardimci, M. O., Suzuki, R., Sikder, M. N. K., Wang, Z., & Mao, W.
Recommended citation: Batarseh, F. A., Yardimci, M. O., Suzuki, R., Sikder, M. N. K., Wang, Z., & Mao, W. (2022). "Realtime Management of Wastewater Treatment Plants Using AI." Virginia Tech & DC Water.
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Time-Series Generative Adversarial Networks for Cyber-Physical Systems
Published in Technical report and open-source release, 2022
Authors: Nguyen, M. B. T., Sikder, M. N. K., & Wang, C.
Recommended citation: Nguyen, M. B. T., Sikder, M. N. K., & Wang, C. (2022). "Time-Series Generative Adversarial Networks for Cyber-Physical Systems." Technical report and open-source release.
Model-Agnostic Scoring Methods for Artificial Intelligence Assurance
Published in 2022 IEEE 29th Annual Software Technology Conference (STC), 9–18, 2022
Authors: Sikder, M. N. K., Batarseh, F. A., Wang, P., & Gorentala, N.
Recommended citation: Sikder, M. N. K., Batarseh, F. A., Wang, P., & Gorentala, N. (2022). "Model-Agnostic Scoring Methods for Artificial Intelligence Assurance." 2022 IEEE 29th Annual Software Technology Conference (STC), 9–18.
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AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI
Published in Academic Press, 2023
Venue: Academic Press
Recommended citation: (2023). Academic Press.
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Deep H2O: Cyber attacks detection in water distribution systems using deep learning
Published in Journal of Water Process Engineering, 52, 103568, 2023
Authors: Sikder, M. N. K., Nguyen, M. B., Elliott, E. D., & Batarseh, F. A.
Recommended citation: Sikder, M. N. K., Nguyen, M. B., Elliott, E. D., & Batarseh, F. A. (2023). "Deep H2O: Cyber attacks detection in water distribution systems using deep learning." Journal of Water Process Engineering, 52, 103568.
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Outlier detection using AI: a survey
Published in In AI Assurance: Towards Valid, Explainable, Fair, and Ethical AI, 231–291. Academic Press, 2023
Authors: Sikder, M. N. K., & Batarseh, F. A.
Recommended citation: Sikder, M. N. K., & Batarseh, F. A. (2023). "Outlier detection using AI: a survey." In AI Assurance: Towards Valid, Explainable, Fair, and Ethical AI, 231–291. Academic Press.
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The application of artificial intelligence assurance in precision farming and agricultural economics
Published in In AI Assurance: Towards Valid, Explainable, Fair, and Ethical AI, 501–529. Academic Press, 2023
Authors: Williams, M. J., Sikder, M. N. K., Wang, P., Gorentala, N., Gurrapu, S., & Batarseh, F. A.
Recommended citation: Williams, M. J., Sikder, M. N. K., Wang, P., Gorentala, N., Gurrapu, S., & Batarseh, F. A. (2023). "The application of artificial intelligence assurance in precision farming and agricultural economics." In AI Assurance: Towards Valid, Explainable, Fair, and Ethical AI, 501–529. Academic Press.
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P2O: AI-Driven Framework for Managing and Securing Wastewater Treatment Plants
Published in Journal of Environmental Engineering, 149(9), 04023045, 2023
Authors: Kulkarni, A., Yardimci, M., Kabir Sikder, M. N., & Batarseh, F. A.
Recommended citation: Kulkarni, A., Yardimci, M., Kabir Sikder, M. N., & Batarseh, F. A. (2023). "P2O: AI-Driven Framework for Managing and Securing Wastewater Treatment Plants." Journal of Environmental Engineering, 149(9), 04023045.
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AI Methods for Anomaly Detection in Cyber-Physical Systems: With Application to Water and Agriculture
Published in Ph.D. dissertation, Virginia Polytechnic Institute and State University, 2024
Authors: Sikder, M. N. K.
Recommended citation: Sikder, M. N. K. (2024). "AI Methods for Anomaly Detection in Cyber-Physical Systems: With Application to Water and Agriculture." Ph.D. dissertation, Virginia Polytechnic Institute and State University.
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Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review
Published in IEEE Access, 2025
Authors: Sikder, M. N. K., Wang, Y., & Batarseh, F. A.
Recommended citation: Sikder, M. N. K., Wang, Y., & Batarseh, F. A. (2025). "Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review." IEEE Access.
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Context-driven Deep Learning Forecasting for Wastewater Treatment Plants
Published in ACM Transactions on Cyber-Physical Systems, 2025
Authors: Sikder, M. N. K., & Batarseh, F. A.
Recommended citation: Sikder, M. N. K., & Batarseh, F. A. (2025). "Context-driven Deep Learning Forecasting for Wastewater Treatment Plants." ACM Transactions on Cyber-Physical Systems.
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talks
teaching
Research Mentoring
Graduate mentoring, Virginia Tech, 2019
Mentored graduate students on experimental design, reproducible ML practice, and scientific writing in secure AI for cyber-physical systems.
Technical Training — Deep Learning for Time-Series Anomaly Detection
Industry technical training, DC Water / AlexRenew research teams, 2023
Delivered internal tutorials on deep learning model development and evaluation for time-series anomaly detection and computer-vision robustness, for research and operations teams at DC Water and AlexRenew.
