A5030064470- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Electric Vehicles and Infrastructure
- Microgrid Control and Optimization
- Energy and Environment Impacts
- Energy Efficiency and Management
- Smart Grid Security and Resilience
- Advanced Radiotherapy Techniques
- Power System Reliability and Maintenance
- Human Mobility and Location-Based Analysis
- Marine Ecology and Invasive Species
- Electricity Theft Detection Techniques
- Green IT and Sustainability
- Radiation Therapy and Dosimetry
- Radiomics and Machine Learning in Medical Imaging
- Energy, Environment, and Transportation Policies
- Advanced Manufacturing and Logistics Optimization
- Reinforcement Learning in Robotics
- Advances in Oncology and Radiotherapy
- Scheduling and Optimization Algorithms
- Oil Spill Detection and Mitigation
- Advanced Multi-Objective Optimization Algorithms
- Innovation Diffusion and Forecasting
- Opinion Dynamics and Social Influence
- Smart Parking Systems Research
Stevens Institute of Technology
2020-2025
Korle Bu Teaching Hospital
2023-2024
National Statistical Institute of Portugal
2022
University at Buffalo, State University of New York
2014-2019
State University of New York
2017
As cities accelerate decarbonization through building electrification, the growing dependence on electrical systems introduces new vulnerabilities during power disruptions. While grid-level resilience has been widely studied, household-scale impacts of electrification remain poorly understood. In this study, we develop a vulnerability assessment framework that combines machine learning classification with high-resolution synthetic energy data from 129,000 U.S. single-family homes. Our...
Dynamic dispatching is one of the core problems for operation optimization in traditional industries such as mining, it about how to smartly allocate right resources place at time. Conventionally, industry relies on heuristics or even human intuitions which are often short-sighted and sub-optimal solutions. Leveraging power AI Internet Things (IoT), data-driven automation reshaping this area. However, facing its own challenges large-scale heterogenous trucks running a highly dynamic...
PURPOSE To build capacity for improved treatment of locally advanced cervical cancer in Ghana, including computed tomography (CT) staging and intensity modulated radiotherapy (IMRT). MATERIALS AND METHODS Patients with histologically confirmed were prospectively staged abdominopelvic CT ultrasound offered the opportunity to have IMRT instead conventional two-dimensional radiotherapy. The development an efficient, high-quality, safe program was facilitated by investment new technology...
The control of shared energy assets within building clusters has traditionally been confined to a discrete action space, owing in part computationally intractable decision space. In this work, we leverage the current state art reinforcement learning (RL) for continuous tasks, deep deterministic policy gradient (DDPG) algorithm, toward addressing limitation. goals paper are twofold: (i) design an efficient charged/discharged dispatch battery system cluster and (ii) address domain task...
Abstract The flexibility afforded by distributed energy resources in terms of generation and storage has the potential to disrupt way we currently access manage electricity. But as grid moves fully embrace this technology, designers operators are having come with managing its adverse effects, exhibited through electricity price volatility, caused part intermittency renewable energy. With concern however comes interest exploiting volatility using arbitrage—the buying selling profit from a...
In light of the growing strain on energy grid and increased awareness significant role buildings play within ecosystem, need for building operational strategies which minimize consumption has never been greater. One major hurdles impeding this realization primarily lies not in lack decision strategies, but their inherent adaptability. With most partly dictated by a dynamic trio social, economic environmental factors include occupant preference, price weather conditions, it is important to...
External beam radiotherapy incorporates treatment techniques such as three-dimensional conformal (3DCRT), intensity-modulated (IMRT), image-guided and volumetric modulated arc therapy to deliver high-energy radiation cancer.The use of IMRT for cancer is also associated with significant costs patients in low-middle-income countries.The purpose this study was compare the dosimetric properties 3DCRT plans external irradiation prostate (Pca) ascertain superiority terms dose homogeneity,...
Traditionally viewed as mere energy consumers, buildings have adapted, capitalizing on smart grid technologies and distributed resources to efficiently use trade energy, evident in net-zero (NZEBs). In this paper, we examine the opportunities presented by applying building communities (clusters). This paper makes two main contributions: one, it presents a framework for generating Pareto optimal operational strategies clusters; two, examines tradeoffs resulting from adaptive decisions...
This work leverages the current state of art in reinforcement learning for continuous control, Deep Deterministic Policy Gradient (DDPG) algorithm, towards optimal 24-hour dispatch shared energy assets within building clusters. The modeled DDPG agent interacts with a battery environment, designed to emulate system. aim here is not only learn an efficient charged/discharged policy, but also address domain question how much should be charged or discharged. Experimentally, we examine impact...
Optimization research on operational strategies of energy use in building clusters have generally marginalized the effects uncertainty favor reduced computational expense. This however leads to a significant disconnect between expected cost and average observed under uncertainty. Bridging this divide requires incorporation analysis which poses both technical challenges. paper addresses these challenges through notion Pareto band, demonstrating its applicability towards developing resilient...
From swarming locusts to schools of fish, the complex emergent behaviors exhibited by multi-agent swarm systems in nature present a compelling basis for their application towards real-world challenges. This paper capitalizes on this potential proposing swarm-intelligence inspired approach mapping offshore oil spills — one that uses collaborating team small (inexpensive) unmanned aerial vehicles. By leveraging idea occupancy grids, new probability map concept is developed enable agent-level...
Traditionally viewed as mere energy consumers, buildings have in recent years adapted, capitalizing on smart grid technologies and distributed resources to not only efficiently use energy, but also output energy. This has led the development of net-zero buildings, a concept which encapsulates synergy efficient grids, renewable utilization reach balanced budget over an annual cycle. work looks further expand this idea, moving beyond just individual considering at community scale. We...
Abstract The decreasing cost of implementation and increasing regulatory incentive to lower energy use have led an increased adoption distributed resources in recent years. This has been further fueled by a surge consciousness the expansion energy-saving products technologies. To reliance on electrical grid fully realize benefits resources, many consumers also elected battery systems store generated energy. For owners multiple buildings, or willing share operational cost, building clusters...
Abstract As the United States phases out traditional fossil fuels in favor of renewable energy sources, it is important to capitalize on all available avenues increase penetration. In last decade, costs associated with residential solar photovoltaic (PV) installations have decreased significantly, providing more homeowners opportunity generate their own clean electricity. Research has found that decision invest a PV system guided by economic, social, and personal factors. Accounting for such...