Electrical Engineering and Computer Science

Research

Faculty research in Electrical Engineering and Computer Science Department spans many areas in electrical engineering, computer engineering, computer science, and software engineering. These areas include control, communication, power electronics, sensor, digital system, computer network, computer architecture, software design, and software testing.

Center for Advanced Control Technologies (CACT)

This lab is equipped to conduct joint research projects with industry, giving students the opportunity to apply state-of-the art technology in real-world problems. Dr. Zhiqiang Gao’s research has recently been selected to be featured on the Ohio Innovation Exchange. Industrial automation has been dominated by the PID technology for over a century until now. The new kid on the block is called active disturbance rejection control (ADRC), patented by Prof. Gao’s group at the Center for Advanced Control Technologies (CACT) and commercialized by the CSU spinoff company, LineStream, founded in 2008 and acquired by Danfoss in 2018. CSU received a royalty payment of $100,000 this year and for years to come. Companies such as P&G, PPG and Samsung have also donated generously to support the cutting-edge research at CACT, leading to significant energy savings in server farms, thermal power plants, extrusion processes, motion controls and more. Faculty: Zhiqiang Gao

 

Embedded Control Systems Research Laboratory (ECSYL)

ECSYL focuses on the theoretical development and real-time implementation of control and signal processing algorithms. Theoretical directions that are of particular interest include optimal control, Kalman filtering, H-infinity control and estimation, neural networks, and fuzzy logic.

Dr. Dan Simon recently received two research grants totaling $300,000 from Ford Motor Company for the projects entitled “Ridesharing Optimization with Real-Time Multi-Objective Swarm Intelligence.”

This three-year research project will aim to address:

1. Ridesharing optimization includes multiple objectives, including minimization of total vehicle miles, minimization of total travel time, maximization of participant preference matches and maximization of number of participants. Also, ridesharing optimization is highly constrained due to individual route preferences, schedule preferences and personal constraints such as smoking versus non-smoking and male versus female.

2. Ridesharing optimization needs to match drivers and riders on short notice, or even during a commute; this is called dynamic ridesharing.

3. If ridesharing is to be successful, then it must be widely adopted, which means that the optimization problem will include an extremely large number of dimensions.

In August 2018, Dr. Dan Simon  Research focused on developing a pediatric exoskeleton. Simon and his colleague, Dr. Sawicki, are collaborating with Parker Hannifin and the Cleveland Clinic to develop a pediatric exoskeleton, which could provide much-needed therapy and restored walking ability for children with cerebral palsy. Click here to watch. Faculty: Dan Simon

 

Micro-Electromechanical System (MEMS) Research Laboratory

MEMS research lab has provided focus and support on development of nanotechnology and sensor design efforts.

National Science Foundation supports the EECS faculty’s project "Transactive Uncertainty and Flexibility for High Penetration of Semi-dispatchable Renewables in Electricity Markets." This research focuses on improving the reliability and fairness of the electricity market as variable energy resources (VERs), such as solar and wind, become more prevalent in the power generation landscape. The robust model that being developed will actively manage the uncertainties of demand by users and supply by VER generators. By managing uncertainties and including explicit energy pricing signals, the model has the potential to enable broader adoption of distributed renewable energy sources. Faculty: Lili Dong

 

Mobile Computing Research Laboratory (MCRL)

Mobile Computing Research Laboratory at Cleveland State is led by Professor Chan Yu. General area of research at MCRL includes wireless networks, sensor networks, mobile computing, and parallel and distributed systems. Current research interest is on designing autonomous mobile networks, where sensory and adaptation capabilities work in harmony to realize *-agile behaviors. We recently investigate security aspect of mobile systems such as Hardware oriented systems and trust systems including clock glitching attacks, side channel attacks, as well as physical layer watermarking in wireless systems. MCRL is currently looking for motivated graduate students. Faculty: Chansu Yu

 

Nanobiotechnology Laboratory

Dr. Yau’s present research covers areas in bioelectronics and molecular electronics. His research group at Cleveland State University is currently engaged in developing new materials for molecular electronic applications and prototyping biosensors based on improved enzyme immobilization techniques. 

Yau's students have invented an ultrasensitive biodetection technique. The technique has been developed as a versatile detection technology platform that detects protein biomarkers, bacteria, and viruses. They've detected four cancer biomarkers and two biomarkers for traumatic brain injuries at the pico-gram/mL level.

In the area of pathogenic bacteria, they achieved culture-free detection of nine bacteria in 80 minutes. The antibiotics susceptibility testing performed by the platform requires only a one-hour antibiotics exposure time. The platform will be a game-changing technology for the diagnosis of bacterial infections and will effectively reduce the prevalence of multi-drug resistant organisms. Their second research activity is accelerated production of biofuels using electrostatic means. They have achieved twenty-hour fermentation of ethanol. Currently, they’re working on the accelerated production of algae for the synthesis of biodiesel.

Dr. Yau received funding from the TeCK Fund to move his invention, A Culture-Free Platform for Rapid Diagnosis of Infections, toward market readiness. The technology has been patented and will be used to provide hospital labs with a new platform for rapidly diagnosing bloodstream infections and urinary tract infections. Faculty: Siu-Tung Yau

 

Big Data Analytics Laboratory

Dr. Chung's research focuses on filtering Big Data sets using Deep Neural Networks, query processing, and optimization. Recent published projects regard Wifi Intrusion detection, analysis of basketball plays via on-ball screens, optimizing Big Data Processing in MPP Data Warehouse Systems, etc.

A Hadoop & Big Data research group has been created for those interested in the distributed processing of large amounts of data, focusing heavily on the Hadoop stack. Topics include networking, storage, (e.g., HDFS, KeyValue storage like HBase), computation (e.g., MapReduce/ YARN, graph processing), indexing/ search (e.g., Solr), and analytics (e.g., Hive), data science, analytics, and others. The CSU research team is actively engaged with the group and recently received the IoT Collaborative Project Award from Cleveland Foundation, entitled “Protect Privacy in a Distributed Learning Platform with a Natural Language Processing Example”. Faculty: Sunnie S. Chung

 

Power and Energy System Lab

Research projects include power system control and optimization, electricity market, and cyber-physical security in smart grid. In October 2018, PhD student Shubo Zhang, supervised by Dr. Hongxing Ye, won second place for his poster entitled “Necessary Condition for Transmission Line Congestion” at the Washkewicz College of Engineering's Annual Research Day. This research project seeks to enhance the power system security with data-driven technologies. It could save tens of thousands of dollars in operation costs per day for real-world systems. The research outcome is being applied to Midcontinent Independent System Operator (MISO), the geographically largest power grid in the U.S.

Earlier that year, Ye's paper "Surrogate Affine Approximation based Co-optimization of Transactive Flexibility, Uncertainty, and Energy" was accepted to IEEE Transactions on Power Systems. Faculty: Hongxing Ye

 

Secure and Dependable Systems Laboratory

The mission of this laboratory is to advance the state of the art of fault- and intrusion - tolerance techniques for the next generation secure and dependable computer systems.

Zhao and students have focused on applying the computer technology to several urgent problems in healthcare, including fighting against the opioid drug epidemic, better understanding the pathology leading to dementia among seniors, and improving workplace wellness.

In this privacy-aware compliance tracking system (PACTS) project, they pioneered a novel approach of integrating computer vision and wearable sensing to facilitate privacy-aware tracking of activities of consented users. This technology makes it possible to use the computer vision technology in venues where privacy of non-consented people (such as patients at the hospital and skilled nursing facilities) is essential. Currently, they’re in the process of the commercializing the PACTS technology with the help of two grants, the I-Corps@Ohio grant, and the Cleveland State University/ Kent State University TeCK Fund.

The research team also received the IoT Collaborative Project Award from Cleveland Foundation, entitled “Android sensor Programming”. Faculty: Wenbing Zhao