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Research with AI
Fig. “AI Researches with FAU Owl” prompt, Adobe Firefly, Adobe, May 14, 2024, https://www.adobe.com/products/firefly.html.
Fig. “Complete Background” prompt, Adobe Photoshop, Adobe, May 14, 2024.
 

Research with AI

This dedicated space showcases the esteemed faculty members who are at the forefront of AI research and education. The faculty here are not just educators but also innovators, actively engaging in research that pushes the boundaries of what’s possible with AI technology. From developing algorithms that enhance machine learning to exploring the ethical implications of AI, the faculty at FAU are shaping the future of this dynamic field. Whether you’re a student, a researcher, or an AI enthusiast, this page provides a gateway to the minds driving AI advancements at FAU.

FAU AI Research

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Center for Connected Autonomy and Artificial Intelligence

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FAU Researchers Receive NSF CAREER Awards

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Center for the Future Mind

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Muhammad Lab

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Our Research Faculty
Behnaz Ghoraani

Behnaz Ghoraani

Associate Professor and I-SENSE Fellow
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Ghoraani's group focuses on the development of wearable and assistive technologies for rehabilitation, remote, and personalized monitoring. Their research is dedicated to creating innovative deep learning models that address various challenges in real-world data, such as imbalanced datasets, significantly enhancing the generalizability of these models.


David Kan

David Kan

Assistant Professor
Department of Civil, Environmental and Geomatics Engineering
Website: Bio

Dr. Kan's research focuses on leveraging AI in traffic control such as signal timing and in modeling and simulation for emerging vehicle technologies such as automation and connectivity.


Dimitris Pados

Dimitris Pados

Professor and I-SENSE Fellow | I-SENSE Fellow, Charles E. Schmidt Eminent Scholar in Engineering
Director, Center for Connected Autonomy and Artificial Intelligence
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Pados founded and is directing the Center for Connected Autonomy and AI at FAU (CA-AI.fau.edu). The Center is a leading international hub for research activities involving autonomous wireless connectivity of multidomain (underwater, surface, air, space) AI platforms, robust learning, and AI-driven computation and data analytics.


Erik Engeberg

Erik Engeberg

Professor
Department of Ocean and Mechanical Engineering
Website: Bio

Dr. Engeberg's BioRobotics Lab at FAU investigates robotics, prosthetics, controller design, bioinspiration, and biomimetics, with the goal of improving the quality of life for people with disabilities and society. Recently, his lab developed a first-of-its-kind robotic glove which uses AI to improve its dexterity.


Georgios Sklivanitis

Georgios Sklivanitis

Schmidt Research Associate Professor & I-SENSE Fellow
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Sklivanitis works on a range of AI-related research, including 1) data curation techniques to address faulty labels and/or adversarial attacks during training of AI models; and 2) distributed collaborative (federated) learning techniques to monitor the electromagnetic spectrum with the objective to a) ID radio devices through the process of fingerprinting and b) classify signal modulations and protocols to enable dynamic spectrum sharing operations.


Hanqi Zhuang

Hanqi Zhuang

Associate Dean and Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Zhuang's group works on a variety of AI related research issues, including 1) marine animal monitoring, behavior modeling, and population prediction, 2) ocean dynamics modeling and prediction especially in Gulf of Mexico, and 3) diagnosis and prediction of diseases such as Alzheimers and cancers.


Hari Kalva

Hari Kalva

Interim Chair and Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Kalva's group is working on visual information processing which considers the entire video pipeline, and application of AI-driven visual information processing to solve problems in healthcare, intelligent surveillance, and ecological conservation.


Hongbo Su

Hongbo Su

Associate Professor
Department of Civil, Environmental and Geomatics Engineering
Website: Bio

Dr. Su's group focuses on developing advanced algorithms for high-resolution image analysis, object detection, and 3D reconstruction using deep learning techniques. Applications of interest include UAV data acquisition and processing for environmental monitoring, vegetation change detection, car counting and tracking on road.


Imadeldin Mahgoub

Imadeldin Mahgoub

Tecore Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Mahgoub's group uses machine learning to enhance the security of IoT/IoBT networks by improving the effectiveness of our IDS systems. They also use machine learning in our deception-based approach to make honeypots intelligent.


Jinwoo Jang

Jinwoo Jang

Associate Professor & I-SENSE Fellow
Department of Civil, Environmental and Geomatics Engineering
Website: Bio

Dr. Jang's lab integrates AI technology into creating smart cities and digital twins, advancing the capability to learn and generate human interaction with contextual surroundings, multi-scale traffic flows, and data-driven human behavior diagnostics.


KwangSoo Yang

KwangSoo Yang

Associate Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Yang's research group focuses on detecting spatial anomalies in transportation networks and designing scalable algorithms for large spatial networks. They aim to utilize massive driving data to develop a scalable AI classification model for predicting potential driving risks.


Manhar Dhanak

Manhar Dhanak

Professor
Department of Ocean and Mechanical Engineering
Website: Bio

Dr. Dhanak's lab pioneers research on autonomous underwater vehicles (AUVs) and unmanned surface vehicles (USVs). These robotic platforms are used for oceanographic observations, data collection, and environmental monitoring.


Mehrdad Nojoumian

Mehrdad Nojoumian

Associate Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Nojoumian works on all aspects of Human-AI Interactions including human factors such as trust and satisfaction in addition to adaptive, customized, and sustainable Interactions.


Michael DeGiorgio

Michael DeGiorgio

Associate Chair and Associate Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. DeGiorgio's research group applies AI to genomic data of human populations to learn the history of past migrations and to unearth evidence of adaptations to environmental pressures, and contribute to AI education at the graduate level by teaching Computational Foundations of AI.


Minghan Wei

Minghan Wei

Assistant Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Wei's research goal is to build intelligent and robust robotic systems for real-world applications. He focused on developing methods for robots to perceive the world and plan their motions to complete the tasks autonomously with minimum costs.


Oscar Curet

Oscar Curet

Associate Professor
Department of Ocean and Mechanical Engineering
Website: Bio

Dr. Curet's group employs AI technologies to explore different ways to control underwater robotics and bio-inspired systems, in particular, swimming and maneuver control with bio-inspired propulsion.


Ramesh Teegavarapu

Ramesh Teegavarapu

Professor
Department of Civil, Environmental and Geomatics Engineering
Website: Bio

Dr. Teegavarapu’s group’s research areas in AI/ML include 1) development and application of AI-based methodologies for hydro-environmental and climatological systems modeling and prediction and analytics for hydro data evaluation; and 2) virtual reality and dynamic simulation systems for learner-centered education in water resources engineering.


Ramin Pashaie

Ramin Pashaie

Professor and I-SENSE Fellow
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Pashaie's group applies machine learning and AI to develop high speed tomography and biomedical imaging platforms. The goal is to reconstruct quality images with a minimum number of measurements by optimizing the data acquisition process. Dr. Pashaie has taught several graduate courses in the field of AI and machine learning.


Raquel Assis

Raquel Assis

Associate Professor, Joint Appointment and I-HEALTH Fellow
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Assis's research group uses AI for making predictions about the evolution of traits from genomic data. Dr. Assis also teaches Introduction to Data Science at the undergraduate and graduate levels.


Rohit Deshmukh

Rohit Deshmukh

Assistant Professor
Department of Ocean and Mechanical Engineering
Website: Bio

Dr. Deshmukh’s research group is focused on augmenting classical physics-based models for fluid, structural, and other multiscale phenomena with data. Advanced machine learning plays a key role in these data-enriched modeling techniques to improve model accuracy, efficiency, and scalability.


Siddhartha Verma

Siddhartha Verma

Assistant Professor
Department of Ocean and Mechanical Engineering:ome
Website: Bio

Dr. Verma's lab leverages deep learning techniques to study nonlinear phenomena and active control in fluid mechanics. These studies reveal complex physical mechanisms in turbulent flows and provide a better understanding of flow-mediated interactions in collective animal behavior.


Taghi Khoshgoftaar

Taghi Khoshgoftaar

Motorola Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Khoshgoftaar's research group focuses on the application of Artificial Intelligence to problems involving the detection of anomalies in very large sets of data. They excel in tasks such as detecting fraudulent activity in Medicare insurance claims data and credit card fraud data.


Waseem Asghar

Waseem Asghar

Associate Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Asghar's lab is utilizing AI and machine learning algorithms for classification and regression problems related to cardiovascular health. The lab is developing novel AI-based wearable devices that may potentially predict heart failure congestion days before it occurs.


Xiangnan Zhong

Xiangnan Zhong

Associate Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Zhong's research focuses on developing intelligent systems for robotics, cyber-physical systems (CPS), and machine learning, emphasizing both theoretical frameworks and practical applications to enhance automation and decision-making processes.


Xingquan (Hill) Zhu

Xingquan (Hill) Zhu

Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Zhu's research group works on a wide range of topics in the theoretical study of Artificial Intelligence algorithms, including graph learning and big data analytics, as well as the applications of AI in biomedical and health sciences and conservation studies. Their work on using AI to help save endangered species has garnered worldwide attention and sparked extensive discussions in news outlets and local communities.


Yufei Tang

Yufei Tang

Associate Professor & I-SENSE Fellow
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Tang's group focuses on advanced computational methods and AI algorithms for engineering, including big data analytics and machine learning (e.g., graph learning, physics-informed ML). Their work applies to predictive condition monitoring of energy infrastructure, smart grid cybersecurity, and environmental monitoring.


Zhen Ni

Zhen Ni

Associate Professor
Department of Electrical Engineering and Computer Science
Website: Bio

Dr. Ni works on data-driven, sample-efficient reinforcement learning algorithms and theories for complex adaptive systems under uncertain environments with applications on smart energy communities.


Luc Wille

Luc Wille

Chair and Professor
Department of Physics
Website: Bio


Daniel Bolojan

Daniel Bolojan

Assistant Professor and the Director of the CreativeAILab
School of Architecture
Website: Bio

One of the leading voices on the application of Creative AI, Deep Learning, and computational design techniques to architecture and architectural design processes. His current research focuses on the development and application of deep learning strategies in architectural design, addressing topics of shared-agency, augmentation of design processes and augmentation of designer’s creativity.


Susan Schneider

Susan Schneider

Professor
Department of Philosophy
Website: Bio


Sarah Du

Sarah Du

Associate Professor
Department of Ocean and Mechanical Engineering
Website: Bio


Wazir Muhammad

Wazir Muhammad

Assistant Professor
Department of Physics
Website: Bio


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Khaled Deeb

Affiliate faculty
College of Nursing


Anil Bilgihan

Anil Bilgihan

Associate Professor
College of Business
Website: Bio


Nataliia Neshenko

Nataliia Neshenko

Assistant Professor
College of Business
Website: Bio


Michael Ryall

Michael Ryall

Professor & Director, Policy, Madden Center for Value Creation
College of Business
Website: Bio


Ye Zhang

Ye Zhang

Associate Professor
College of Business
Website: Bio