🏆 Best Paper Award
Machine Learning and AI for Optimizing and Safeguarding Energy Transmission in Storms by Automatic Inspection of Electrical Wires
2025, IEEE Xplore
Advancing healthcare and infrastructure through cutting-edge computer vision, deep learning, and intelligent medical systems. Led by Prof. Chengjun Liu at NJIT.
Our research doesn't just publish papers—it saves lives, protects infrastructure, and advances the field of artificial intelligence.
Fruit quality classification accuracy, demonstrating robust performance in real-world agricultural applications with practical deployment potential.
Improvement over traditional RADAR systems for vehicle counting accuracy, revolutionizing intelligent transportation systems.
Best performance in government-organized Face Recognition Grand Challenge, outperforming leading academic and industry teams worldwide.
Continuous automated monitoring of electrical infrastructure preventing failures and reducing wildfire risk through real-time defect detection.
Advanced pattern recognition and video analytics achieving world-class performance in challenging real-world environments.
The FRVP Laboratory investigates advanced pattern recognition and video analytics methods, developing innovative technologies that achieve best-in-class performance on challenging real-world problems.
Best performance in government-organized challenge
Revolutionary vehicle counting accuracy
Face detection, iris recognition, image search
Outperforms existing traffic monitoring systems
A comprehensive framework of specialized AI systems working together to revolutionize healthcare diagnostics and treatment.
Integrated Multi-Specialty Diagnostic System
Privacy-Preserving AI
Enhanced Visualization
Clinical Decision Support
Multi-Organ Detection
Optimal Feature Extraction
Multi-Modal Analysis
Peer-reviewed research advancing the state-of-the-art in AI, computer vision, and medical diagnostics.
2025, IEEE Xplore
2025, IEEE Xplore
6th International Conference on Medical Imaging and Computer-Aided Diagnosis, Nov. 19-21, 2025, London, UK
IEEE International Conference on Electrical and Computer Engineering Researches, Dec. 6-8, 2025
6th International Conference on Medical Imaging and Computer-Aided Diagnosis, Nov. 19-21, 2025, London, UK
Excellence recognized by leading government agencies and industry organizations.
New Jersey Commission on Science, Innovation and Technology
Recognition for innovative small business research advancing AI solutions in New Jersey's innovation ecosystem.
Learn More →U.S. Department of Transportation
AI Video Analysis of Dilemma Zone Conflicts at Signal-Controlled Intersections using Edge Computing and 5G technology.
Learn More →National Institute of Standards and Technology
Enhancing Computer Vision for Public Safety - Recognition for advancing AI-powered safety solutions using deep learning and real-time analytics.
Learn More →National Institute of Standards and Technology
FastFind: UAS Search Optimized - Excellence in autonomous drone search and rescue technology leveraging computer vision and edge AI.
Learn More →US Ignite
AI for IoT Information (AI3) Prize - Innovation in integrating artificial intelligence with Internet of Things infrastructure for smart city applications.
Learn More →World-class experts driving innovation in artificial intelligence and machine learning.
Founder & AI Visionary
Founder of the Open AI Team (OAIT)
Leading researcher in AI, Pattern Recognition, Machine Learning, Computer Vision, and Security with over three decades of experience. Prof. Liu brings unparalleled expertise to advancing AI technologies for healthcare and infrastructure.
Chief Operating Officer (interim)
Rising star in AI and software engineering with expertise in applied research. Specializes in developing research grant proposals through collaborative innovation with the Open AI Team.
Faculty Consultant
Distinguished researcher with degrees from Waseda University (B.S. Mathematics), Washington University (M.Arch.), MIT (M.S. Design and Computation), and Harvard University (Doctor of Design).
Former CTO
Currently at Goldman Sachs, Manhattan, NY
Technology architect with proven track record in building scalable AI infrastructure. Now applying cutting-edge ML solutions in quantitative finance at Goldman Sachs.
Former Chief ML Officer
Currently at Amazon, Arlington, VA
Machine learning expert specializing in neural networks and deep learning architectures. Leading advanced AI initiatives at Amazon, focusing on large-scale distributed systems.
Join us in advancing the future of artificial intelligence. Whether you're seeking research collaboration, technology licensing, or exploring grant opportunities.