Dendritic Research

At the Dendritic Institute, we conduct state of the art research and provide services across several domains within AI and Data Science. Our work focuses on both foundational research and applied projects that address real-world challenges.

Artificial Intelligence

Our AI research explores innovative applications such as generative AI in education to create personalized learning experiences and smart agriculture solutions to enhance farming efficiency.

Data Science

We specialize in extracting valuable insights from complex datasets, working on projects ranging from health analytics to educational data mining, which aim to improve decision-making processes across various sectors.

Neural Networks and Deep Learning

Our research in neural networks and deep learning focuses on advancing capabilities in areas such as image recognition and natural language understanding, pushing the boundaries of what is possible in AI.

Natural Language Processing (NLP)

We develop sophisticated NLP models to perform tasks like sentiment analysis and emotion recognition, which have broad applications in fields like customer service and social media monitoring.

Computer Vision, VR/AR/XR

We apply advanced computer vision techniques to medical imaging and video surveillance analytics, improving accuracy and efficiency in these critical areas.

Generative AI

Our research in GenAI has focused on its application within the education environment, including computer-mediated learning and user perceptions of GenAI.

Areas of Application

Graph showing areas of impact including health, environment, cybersecuriyt, human computer interface, disaster management and resilience, and education. It gives bullet points for each.

Health
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The institute applies AI and data science to enhance medical diagnostics, predict patient outcomes, personalize treatments, aid in drug discovery, and support telemedicine. Specific research includes image analysis and diagnosis, medical report analysis, and automated reporting.
Environment
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AI is used to address environmental challenges by analyzing data from satellites and sensors for climate solutions, land and water management, pollution prediction, harmful algal bloom, and species extinction prevention. Current research areas include water quality data analysis, data gaps, and hotspot analysis.
Cybersecurity
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The institute focuses on developing AI-driven cybersecurity solutions that analyze security logs and network traffic to detect anomalies, identify threats, and predict cyberattacks. Research includes phishing, deep fakes, and malware detection.
Human-Computer Interface (HCI)
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AI enhances interactions between humans and machines through natural language processing, gesture recognition, and emotion analysis, making interfaces more intuitive and interactive. Research areas include 3D perception, dynamic scene synthesis, and vision rehabilitation.
Disaster Management and Resilience
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AI solutions are developed for early warning systems to predict and detect natural disasters, assess damage, and coordinate relief efforts. Research includes drone swarms, aerial data analysis, and social media data analysis for improved disaster response and community resilience.
Education
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AI and data science create personalized learning experiences, predict academic challenges, and improve educational outcomes through adaptive tools and predictive analytics. Research focuses on institutional and student success and AI applications in teaching and learning.

Publications and Papers

Explore the research papers, articles, and book chapters our faculty and researchers authored.

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Dendritic: A Human-Centered AI and DS Institute

10501 FGCU Blvd. S.

Fort Myers, FL 33965

(239) 590-1362
dendritic@fgcu.edu

Business Hours

Mon-Fri: 8:00am-5:00pm