Labs & Centers
1. Medical AI Lab, Dr. Min Shi, Fair and trustworthy medical imaging and multimodal AI
- The lab is dedicated to the interdisciplinary study of artificial intelligence (AI) in healthcare and medicine. We focus on utilizing advanced computational techniques such as data mining, machine learning, and deep learning to tackle critical biomedical challenges. Our objective is to enhance the understanding, diagnosis and clinical management of human diseases through cutting-edge AI-driven tools and methodologies.
2. Wireless Embedded Device Security (WEDS) Lab, Dr. Xiali (Sharon) Hei, Cyber-physical system security and data analytics
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The primary mission of the WEDS Laboratory is to provide an experimental and collaborative environment for investigating the vulnerabilities and defenses of cyber-physical systems (CPS) and modern data analytics. Their work directly impacts the security frameworks of smart infrastructure, internet-of-things (IoT) devices, and wireless technologies.
- Cyber-Physical System (CPS) Security: Investigating vulnerabilities and defense mechanisms in connected hardware, smart critical infrastructure, and wireless networks.
- Data Analytics: Applying data-driven methodologies to identify threats, anomalies, and security patterns in embedded environments.
3. AI CyberSafe Innovations Lab (AICSIL), Dr. Shuvalaxmi Dass, AI-driven cybersecurity, IoT security, and biometrics
- AI CyberSafe Innovations Lab (AICSIL) is an academic research lab dedicated to using the power of Artificial Intelligence to build innovative and robust defense solutions to tackle real-world cybersecurity problems. With the goal of making software systems secure and trustworthy, AICSIL lab is committed to staying ahead of the security curve.
4. Data Analysis and Deep Learning (DADL) Lab, Dr. Aminul Islam, Deep learning and data analysis
5. Eigen/Lab, Dr. Mehmet Engin Tozal, Machine learning and graph methods for decision support and health informatics
6. Biological Artificial Intelligence Lab (BAIL), Dr. Anthony Maida, Deep learning, neural networks, and brain simulation
7. Intelligent Systems, Modeling & Simulation (iSMS) Lab, Dr. Michael Totaro, Machine learning, neural networks, and simulation modeling
8. tiny Machine Learning & Embedded Computing (tML-EC) Lab, Dr. Sercan Aygun, Low-power ML for embedded and wearable devices
- Mission: To develop software and hardware architectures for lightweight machine learning (ML) systems across various applications. On the software side, the focus is on embedded devices for a wide range of uses, including wearable technology. On the hardware side, particularly for tiny ML architectures, the tML-EC lab specializes in emerging computing paradigms such as stochastic and hyperdimensional computing, aiming to create low-cost and low-power systems.
9. Virtual Reality Lab, Dr. Christoph Borst, 3D interaction, haptic interfaces, and scientific visualization
10. Human-Computer Interaction (HCI) Lab, Dr. Arun Kulshreshth, Interaction design for virtual reality and interactive media
11. Cyber-Physical Human Systems Lab, Dr. Raju Gottumukkala, Wearables, multimodal learning, robotics, human-AI augmentation
If you would like to learn more about our AI Lab, contact Dr. Gottumukkala.
The photos below are from Dr. Gottumukkala's Cyber-Physical Systems Lab.
The robot below can play tennis and use strategy on each serve.
The robot above can peel crawfish.
This robot below can play a game of chess and feel your emotions during the game.
His research centers on human-centric intelligent systems, with a focus on developing AI/ML-based decision support tools that deliver real-world impact in public health, healthcare access, homeland security, and emergency management.