Our center is dedicated to advancing the frontiers of artificial intelligence through cutting-edge research, interdisciplinary collaboration, and practical applications. We focus on developing innovative AI solutions that address real-world challenges across various fields. Below, you will find the core research areas we specialize in, along with specific topics within each area that leverage our strengths and expertise.
RESEARCH AREAS
Computer Vision | Computer Vision focuses on enabling machines to interpret and understand visual information from the world. By leveraging AI techniques, we advance image and video analysis, object detection, facial recognition, 3D reconstruction, and medical imaging, while also exploring immersive technologies like augmented and virtual reality. |
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Cybersecurity | Cybersecurity research aims to protect digital systems and data from malicious activities. Our work includes AI-driven threat detection, network security, cryptography, intrusion detection, secure software development, and securing cyber-physical systems, ensuring robust defenses against evolving cyber threats. |
Machine Learning and Data Analytics | Machine Learning and Data Analytics involve developing algorithms and models that allow machines to learn from data and make decisions. This area encompasses supervised and unsupervised learning, deep learning, predictive analytics, big data processing, reinforcement learning, and applying AI to IoT systems. |
Natural Language Processing (NLP) | Natural Language Processing (NLP) focuses on the interaction between computers and human language. Our research covers text mining, sentiment analysis, speech recognition, machine translation, and the development of chatbots and conversational AI, enhancing the way machines understand and generate human language. |
Robotics and Automation | Robotics and Automation research aims to create intelligent systems that can perform tasks autonomously or in collaboration with humans. We work on developing autonomous systems, robot learning, human-robot interaction, and applications in manufacturing, construction, and healthcare, pushing the boundaries of what robots can achieve. |
SELECTED PROJECTS
You can explore a selection of ongoing projects led by our faculty members that demonstrate our commitment to impactful AI research.
Enabling Next-Generation HyFlex Field Laboratories through an Innovative Leaner-In-The-Loop Multi-Robot System
PI: Jin Wei-Kocsis (CIT)
PIs:
Jin Wei-Kocsis, Paul Asunda, Jiansong Zhang, Byung-Cheol Min, and Dongming Gan
Funding Source:
NSF Grant #2418688
Award Amount:
$900,000
Project Period:
09/01/2024 - 08/31/2027
CAREER: SaTC: Towards Machine-learnable Enhancing Framework for Local Differential Privacy
PI: Wenhai Sun (CIT)
PIs:
Wenhai Sun
Funding Source:
NSF Grant #2238680
Award Amount:
$500,000
Project Period:
07/15/2023 - 07/30/2028
CAREER: Data Preparation for Trusted and Fair Data Science
PI: Romila Pradhan (CIT)
PIs:
Romila Pradhan
Funding Source:
NSF Grant #2237149
Award Amount:
$466,411
Project Period:
07/01/2023 - 07/30/2028
Using Artificial Intelligence to Transform Online Video Lectures into Effective and Inclusive Agent-Based Presentations
Co-PI: Christos Mousas (CGT)
PIs:
Nicoletta Adamo-Villani, Christos Mousas
Funding Source:
NSF Grant #2237149
Award Amount:
$566,699
Project Period:
05/01/2022 - 04/30/2025
Integration of BIM for Bridge Modeling
PI: Jiansong Zhang (SCMT)
PIs:
Jiansong Zhang, Yunfeng Chen, Hazar Nicholas Dib
Funding Source:
Indiana Department of Transportation SPR-4622
Award Amount:
$319,168
Project Period:
09/01/2021 - 08/31/2025
Feasibility of 3D Scanning Technology for Bridge Inspection and Management
Co-PI: Kyubyung Kang (SCMT)
PIs:
Jungil Seo, Amit Varma, Kyubyung Kang
Funding Source:
Indiana Department of Transportation SPR-4731
Award Amount:
$249,332
Project Period:
01/09/2023 - 04/08/2025