The concept of smart and connected communities is inspiring new ideas in the Wayne State University College of Engineering. Unprecedented levels of connectivity will result in the integration of information, communication and technology across numerous foundational areas such as transportation, energy and sustainability, industrial automation, advanced manufacturing, health care, and public safety.
Gartner Inc. estimates that 9.7 billion connected items will be used in smart cities by 2020, with smart homes and commercial buildings accounting for 81 percent of these products. Meanwhile, the United States is positioning itself to lead an effort that will deploy 21 million self-driving cars around the world by 2035, according to IHS Automotive.
Wayne State faculty members are rethinking engineering research and education to bring people, things and data together into the next generation of technology. They are experts in key elements of connectivity, including sensing, computing and networking, control and robotics, smart transportation, connected health, security, and data science.
The university's proficiency in the connectivity domain makes it well positioned to collaborate with industry and government as faculty and students work on solutions to deliver convenience, safety and efficiency in a more connected world.
Faculty research areas
Robot guidance and control, non-linear robust controllers, self-tuning fuzzy controllers
Xue-Wen (William) Chen
Deep Learning, network discovery and analysis, learning visual recognition, feature selection
Ratna Babu Chinnam
Predictive analytics, machine learning, artificial neural networks, genetic algorithms, non-deterministic systems
Human-robot interaction including application of augmented reality to robotic interfaces, user-centered design and evaluation of robot controls and displays, operator mental workload assessment, operator-in-the-loop system performance measurement
Mobile robots, robotic manipulators, robotic controls engineering
Pattern recognition, image analysis & computer vision, machine intelligence, data mining
Neural networks, genetic algorithms, distributed systems, bioinformatics and artificial intelligence
Real-time and embedded systems
Artificial neural systems, associative memories, machine learning, pattern recognition, application of artificial neural networks to physiologic signal processing, optimization and control
Self-driving vehicle technologies, Image analysis and computer vision
Computational intelligence and design informatics
Large-scale textual information analysis, with specific focus on interactive and intelligent information retrieval, social media search and analysis, textual data mining and health informatics
Intelligent vehicles, intelligent transportation system, secure wireless communications
Signal processing, information theory, machine learning, wireless networks
Surgical robots, augmented and virtual reality, multi-robot control, mobile robots and manipulators
Artificial intelligence, game programming, machine learning, evolutionary computation, cultural algorithms, multi-agent systems, intelligent agents, multi-objective problem solving
Cyber-physical systems, embedded and real-time systems
Edge computing for smart health, intelligent transportation systems, connected and autonomous vehicles
Mobile autonomous robots, robot perception and interpretation, human-robot interaction, autonomous behavior modeling, autonomous system architectures, supervisory and mixed initiative control, military utility assessment
Theory and applications of fuzzy control, fuzzy systems, decision making, intelligent information processing, control systems, system modeling, fuzzy discrete event systems, image/signal processing, neural networks, expert systems
Computer system security, trustworthy execution, memory introspection, transparent malware analysis
Bioinformatics, machine learning, data mining, computational systems biology