Biomechanics Research Lab
Moataz Eltoukhy, Francesco Travascio
McArthur Engineering Building, Room 156
Description coming soon.
Center for Advanced Supply Chain Management (CASCM)
Murat Erkoc
McArthur Engineering Building, Room 268
Description coming soon.
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Complex Systems Behavior Analytics and Optimization Lab (CBlab)
Cheng-Bang Chen
Lab location coming soon
The lab advances research in nonlinear dynamics, data fusion, and network theory to better understand and optimize complex systems. Applying data-driven methods in bioinformatics, smart health, and energy systems, the lab focuses on feature extraction, decision optimization, and anomaly detection. Its work includes large-scale analytics, dynamic recurrence mining, and sensor-driven modeling to enhance monitoring, prediction, and design of real-world systems.
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Ramin Moghaddass
McArthur Engineering Building, Room 287
The Data Analytics Lab is a cutting-edge research hub advancing data-driven decision-making in complex and uncertain environments. Research areas include:
- Decision-Making Under Uncertainty and Dynamic Conditions: Developing tools and methods to support informed choices in rapidly changing systems.
- Survival Analysis and Condition Monitoring: Analyzing degradation patterns and predicting maintenance needs in critical systems.
- Time-Series and Longitudinal Data Analysis: Extracting insights and trends from temporal data.
- Predictive Analytics with Large-Scale Data: Building models to forecast outcomes across various domains.
Applications span energy grid condition monitoring, healthcare management, and maintenance modeling, with broader impact across energy systems. The lab’s work is supported by a range of internal and external grants, including funding from the National Science Foundation and the Department of Energy.
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Ye Hu
Lab location coming soon
This lab focuses on advancing digital inclusive networking by seamlessly integrating NextG wireless technologies, non-terrestrial networks, and Internet of Things systems. It contributes to distributed artificial intelligence applications in networked systems, AI-native communication methods, and combined sensing, communication, and security solutions.
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Ramin Moghaddass
McArthur Engineering Building, Room 288
This energy-focused research center supports energy conservation and cost reduction through advanced analytics and real-time data collection. Backed by a $1.7 million U.S. Department of Energy grant (2022–2026), the center has conducted numerous assessments that have contributed to an estimated $97 million in total energy savings.
Using high-resolution data logging devices, researchers capture real-time energy consumption and apply advanced analytics to uncover inefficiencies, trends, and opportunities for optimization. Graduate students in the lab specialize in energy analytics, transforming data into insights that drive smarter, more efficient industrial operations.
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Intelligent Complex Systems Laboratory (ICS Lab)
Adam Meyers
Lab location coming soon
This lab develops fundamental, data-driven, and science-based methods to enable intelligent capabilities in modern complex systems. Its main goal is to create new techniques that extract meaningful insights from data, such as large sensor datasets, to improve scientific understanding, automate processes, monitor and control systems, and optimize performance. Currently, the focus is on healthcare systems and human physiology with additional interests in environmental and earth sciences, intelligent transportation, and smart manufacturing.
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Nurcin Celik
McArthur Engineering Building, Room 158
We develop AI-augmented optimization methods to support real-time decision-making in complex systems such as energy networks, solid waste and recycling systems, cyber-physical infrastructures, and healthcare applications. Our research integrates simulation data with machine learning to enhance the efficiency and reliability of digital twin technologies.
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Ramin Moghaddass, Murat Erkoc
Lab location coming soon
Launched with a $900,000 federal grant, this initiative, led by the College of Engineering, brings together regional and national partners to promote energy efficiency across South Florida and Puerto Rico.
The center uses advanced data analytics and machine learning to reduce energy waste and improve performance in commercial, institutional, and community buildings. It also develops tools and training programs to prepare professionals for growing careers in the clean energy sector.
In collaboration with partners like Florida Atlantic University, Universidad Ana G. Méndez, and the Community Dreams Foundation, the initiative focuses on inclusivity, creating opportunities for underrepresented groups while supporting sustainability and climate resilience in the region.
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Supply Chain Innovation and Resilience Lab (SCIRL)
Murat Erkoc
Lab location coming soon
We advance data-driven optimization and simulation techniques to strengthen the resilience and sustainability of critical infrastructure and supply chain networks. Our work spans energy and mobility systems, healthcare operations, and climate adaptation, leveraging machine learning and optimization to enable adaptive, informed decision-making.
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Work Design Lab
Vincent Omachonu
McArthur Engineering Building, Room 273
Description coming soon.
