Electrical Engineering and Computer Science

EECS NEWS

04/06/2018

HKN Induction Ceremony

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HKN student officers and Dr. Lili Dong successfully organized the annual HKN induction ceremony on April 6, 2018. Fourteen students were inducted to be the HKN members. The initiates and their families joined the event and the reception dinner. 

04/05/2018


IEEE CSS seminar with topic of "Insulation Fault Detection in Buried Power Cables: A Feedback Control Application"

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Dr. Lili Dong organized an IEEE CSS seminar on April 5, 2018. It was a joint event between IEEE Control Systems Society and IEEE HKN, Epsilon Alpha Chapter. There were 52 attendees including CSU faculty and students, the students from Case Western Reserve University, and the engineers from local industry. Dr. Robert Veillette from the University of Akron gave a presentation entitled as "Insulation Fault Detection in Buried Power Cables: A Feedback Control Application". The event successfully promotes the networking between academic researchers and industrial practitioners, and enhances students' learning beyond the classroom. 
 
03/31/2018

Congratulations to Donald Ebeigbe for receiving the CSU Graduate Student Research Award

Doctoral candidate Donald Ebeigbe has received a $4,000 award from the Office of Research for his project “Control of Rigid Robots with Large Uncertainties.” Donald’s research objective is to improve the state-of-the-art in robot control theory, especially in cases when the robot model cannot be derived. His new control development could enhance the control of robots by guaranteeing desired performance over a range of system uncertainties or disturbances. Donald’s award will provide him with funds for salary, conference travel, and equipment.

03/31/2018


Congratulations to Saman Khademi for receiving the CSU Graduate Student Research Award

Doctoral candidate Saman Khademi has received a $4,000 award from the Office of Research for his project “Environmentally Aware User Intent Recognition of Amputees with Lower-Limb Prostheses Using Deep Learning.” Seamless user-prosthesis interaction is an important challenge in above-knee powered prostheses. Saman’s research objective is to develop deep learning approaches that can fuse non-invasive user-aware and environmentally aware sensors. Saman’s research could enable powered prosthesis function to approach the robustness, safety, and performance levels of the natural human leg. Saman’s award will provide him with funds for salary, conference travel, and equipment.