Project-1
Electricity Optimization of Smart Homes
Publications:
[1.1] Salman S Shuvo and Yasin Yilmaz. “Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method for Electricity Optimization in Smart Homes .” IEEE transactions on Smart Grid, 2022 (early access). [pdf]
Project-2
Collaborative EV Charging and Deep Reinforcement Learning Based Distribution Transformer Up-gradation Policy
Publications:
[2.1] Salman S Shuvo and Yasin Yilmaz. 2020. “Predictive Maintenance for Increasing EV Charging Load in Distribution Power System.” IEEE Smartgridcom 2020. [presentation] [pdf]
[2.2] Salman S Shuvo and Yasin Yilmaz. 2021. “CIBECS: Consumer Input Based Electric Vehicle Charge Scheduling for a Residential Home.” 53rd North American Power Symposium (NAPS 2021). [pdf]
[2.3] Salman S Shuvo and Maidul Islam. 2022. “LSTM Based Load Prediction for Distribution Power Grid with Home EV Charging” IEEE Kansas Power and Energy Conference 2022. [pdf]
Project-3
Renewable Energy
Publications:
[3.1] Salman S Shuvo, Huruy Gebremariam, and Yasin Yilmaz. “Deep Reinforcement Learning Based Optimal Perturbation for MPPT in Photovoltaics.” 53rd North American Power Symposium (NAPS 2021).[pdf]
[3.2] A.H.M. Kamal, Md. Mahbubur Rahman, Md. Mohaiminul Haque, Salman Sadiq, and Aminul Hoque . “Biomass Quality Analysis for Power Generation .” 8th International Conference on Electrical and Computer Engineering 20-22 December, 2014. (ICECE 2014).[pdf]
[3.3] A.H.M. Kamal, Md. Mahbubur Rahman, Md. Mohaiminul Haque, Salman Sadiq, and Aminul Hoque . “Hybrid Power System: Biomass and Diesel .” 8th International Conference on Electrical and Computer Engineering 20-22 December, 2014. (ICECE 2014).[pdf]
Project-4
Agent-based Scenario Planning for a Smart & Connected Community against Sea Level Rise in Tampa Bay
Funded by NSF (award no. 1737598 )
Publications:
[4.1] S. S. Shuvo, Y. Yilmaz, A. Bush, and M. Hafen, “Modeling and Simulating Adaptation Strategies against Sea-Level Rise using Multi-Agent Deep Reinforcement Learning,” in IEEE Transactions on Computational Social Systems, 2021. [pdf]
[4.2] S. S. Shuvo, Y. Yilmaz, A. Bush, and M. Hafen, “A markov decision process model for socio-economic systems impacted by climate change,” in International Conference on Machine Learning. PMLR, 2020. [pdf]
[4.3] S. S. Shuvo, Y. Yilmaz, A. Bush, and M. Hafen, “Scenario Planning for Sea Level Rise via Reinforcement Learning,” in 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP). [pdf]
Project-5
Deep Reinforcement Learning Based Cost Optimization For Hospital Capacity Planning.
Publications:
[5.1] S. S. Shuvo, M. R. Ahmed, H. Symum, and Y. Yilmaz, “Deep reinforcement learning based cost-benefit analysis for hospital capacity planning,” in 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021, pp. 1–7. [presentation] [pdf]
[5.2] S. S. Shuvo, M. R. Ahmed, S. B. Kabir, and S. A. Shetu, “Application of machine learning based hospital up-gradation policy for bangladesh,” in 7th International Conference on Networking, Systems and Security, 2020, pp. 18–24. [pdf]
[5.3] S. B. Kabir, S. S. Shuvo, H. U. Ahmed , “Use of Machine Learning for Long Term Planning and Cost Minimization in Healthcare Management ”, medRxiv. [pdf]
[5.4] S. S. Shuvo, M. R. Ahmed, H. Symum, and Y. Yilmaz, “Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events ” in IEEE Journal of Biomedical and Health Informatics, 2022. [pdf]
Award:
Finalist in FLORIDA BLUE HEALTH INNOVATION CHALLENGE 2022. [Plaque] [presentation]