My research area broadly includes signal processing for telecommunication and biomedical applications. In this talk I will discuss two topics: 1) processing of electroencephalograph signals for brain computer interfaces as well as processing of magnetic sensor signals for a tongue-drive assistive technology, and 2) signal processing for data storage.
Brain computer interfaces mostly benefit amyotrophiclateral sclerosis patients who have lost the voluntary movements of, often times, all of their muscles. These patients can only use their thoughts to control an interface device and thereby access the outside world. Also I will explain my contribution to tongue-drive system, a wearable and wireless assistive technology that enables people with severe disabilities to control their environment using voluntary tongue motion.
The second topic covers my Ph.D. work in developing synchronization and detection algorithms for two-dimensional magnetic recording, a new generation of computer hard disk drives with ultra-high data capacity. In my research I have applied tools from digital communication, machine learning, pattern recognition and data mining. I will conclude the talk by discussing future plans for increasing the capacity of data storage, capacity of wireless networks and also for improving the interface between human and machine.
Elnaz Banan Sadeghian is a senior DSP engineer at Qualcomm Company. She received her Ph.D. in electrical and computer engineering from Georgia Institute of Technology, Atlanta, USA, in 2016, and a Master's degree in biomedical engineering from AmirKabir University of Technology, Tehran, Iran, in 2008. Her areas of expertise include algorithm design for telecommunication systems (data storage) and assistive technologies. Her research interests are digital communication, machine learning and pattern recognition.
For more information, please contact Shucheng Yu at [email protected]