Research Institutes of the College of Engineering
The Engineering Research Institute (ERI) established in 1983 serves as a research arm of the College of Engineering. ERI provides pre-award and post-award services to the faculty and ensures that a conducive atmosphere is provided to students and faculty to conduct research in cutting-edge technologies. During the past decade ERI has increased its operating budget from $185K to over $1.6 million in 1995. It has increased the number of funded research projects from one in 1988 to 17 in 1995. In 2015, about 20 projects are active.
ERI has earned its reputation as a leading University in Artificial Neural Network Engineering and was awarded the NASA 1994 STTR (Phase I) award in robotics. ERI is engaged in research and development, technology transfer and educational science. Currently ERI has 2 Centers and 6 specialized laboratories dedicated to conducting research in cutting-edge technologies.
The Center for Environmental Engineering funded by the Department of Energy (DOE) in 1996 to develop infrastructure in environmental engineering programs (courses and laboratory) at both undergraduate and graduate level. The center currently conduct research in conduct in bioremediation, numerical model to predict contaminant movement through karst conduits, phytoremediation, pathogens in streams, and biological and chemical process in karst aquifers.
The Center for Excellence in Battlefield Sensor Fusion (CE-BSF) was funded by Army research Office (ARO) in 2004. The center's vision is to exploit potentials of data fusion techniques for advancement of fundamental understanding of sensor networks scalability, distributed sensing behaviors, fault tolerance schemes, hierarchical communication protocols, sensor network informatics, and power efficient fusion techniques in highly uncertain environment. In particular, our research is focused on severely constrained sensor with limited functionality in energy, sensing, computation power, and communication capabilities.
The Digital Signal/Image Processing Laboratory was funded by the Air Force in 1991 to conduct research in signal processing, image processing, speech processing, and health monitoring of both mechanical systems and human beings. It also houses biomedical engineering laboratory.
The Intelligent Control Systems Laboratory was funded by NASA Lewis Research Center, now Glenn Research Center (GRC) in 1993 to conduct research in developing intelligent controllers for aircraft, helicopters, and robots using neural networks, fuzzy logic and genetic algorithms.
The Design Methodologies Laboratory was funded by NASA GRC in 1993 to conduct research in designing components or systems for the probability of their failure(s) rather than adding safety factors.
The Intelligent Health Monitoring Laboratory was funded by MURI and DURIP grants in collaboration with Applied Research Laboratory at Penn State University (ARL/PSU) in 1998 to conduct research in monitoring the health of rotating machinery especially ball-bearings using applied AI technologies.
The Intelligent Manufacturing Laboratory was originally funded by the Goodyear Company in 1988. Subsequently, it was funded by ONR, DoD and the Society of Manufacturing Engineers to conduct research in computer aided design in manufacturing, condition-based maintenance, machine intelligence and robotics. This also houses intelligent tactical mobility robotics laboratory.
The Computer and Information Systems Engineering (CISE) Laboratory was funded by Northrop Grumman (Logicon) and the Department of Defense (DoD) in 1996 to conduct research in parallel processing as a part of high performance computing modernization program. Research is also conducted in computer communication and networks, distributed computing and information assurance through funding from Hewlett Packard, and other industries. This lab has test-beds in wireless communication, and conducts research in wireless communication, RFID and cyber security.
The College of Engineering at Tennessee State University has published a book entitled “Applications of Fuzzy Neural Genetics in Engineering Systems”, a collection of seventy-eight (78) papers related to the applications of Artificial Intelligence techniques (neural networks, fuzzy logic and genetic algorithms) in engineering systems that have been published by the faculty over the past ten years. These papers, most of which were peer reviewed and refereed, address neural network application research in the areas of:
•Signal and image processing
•Controls and robotics
•Systems health monitoring
The College has also published another book entitled “Advances in Intelligent Robotic Systems from Theory to Knowledge and practice”. The book has papers in nine different areas: intelligent autonomous robots; localization, mapping and world perception modeling; distributed robots navigation and coordination; manipulation and control; cooperative behaviors and task planning; robots communication; sensor fusion and hardware issues; design and learning; visual-sensing and object tracking and image processing; and human-robot interaction. The book also lists paper and by undergraduate and graduate students.
The most recent addition is the TIGER (TSU Interdisciplinary Graduate Engineering Research) Institute. The TIGER Institute is a graduate level research facility for the College of Engineering. The National Science Foundation funded the 8000+ square foot facility with a $1.2 million grant under the American Recovery and Reinvestment Act of 2009. The TIGER Institute is located on the ground floor of the Research and Sponsored Programs Building.
The purpose of the facility is to help TSU faculty and students conduct research in areas of high national STEM workforce needs, and strategic areas advocated by the National Academy of Engineering. The TIGER Institute currently has seed research funding and partnerships from the National Science Foundation, Department of Homeland Security, the U.S. Air Force, Boeing and General Motors in the areas of science visualization and computation, cyber-security, smart sensor networking, nano-materials and advanced energy systems.