Keynote & Plenary Speakers
Below is the keynote speakers of ICDSP 2017; For speakers of ICDSP 2018, more details will be updated soon...
Prof. Erchin Serpedin
Texas A&M University, College Station, Texas, USA
Erchin Serpedin received the specialization degree in signal processing and transmission of information from Ecole Superieure D'Electricite (SUPELEC), Paris, France, in 1992, the M.Sc. degree from the Georgia Institute of Technology, Atlanta, in 1992, and the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, in January 1999. He is currently a professor in the Department of Electrical and Computer Engineering at Texas AM University, College Station. He is the author of 3 research monographs, 1 textbook, 140 journal papers and 250 conference papers, and serves currently as associate editor for the IEEE Signal Processing Magazine and as editor-in-chief of EURASIP Journal on Bioinformatics and Systems Biology, an online journal edited by Springer-Nature. He served as associate editor for a dozen of journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Information Theory, Signal Processing (Elsevier), EURASIP Journal on Advances in Signal Processing, Physical Communication (Elsevier), and IEEE Signal Processing Letters. His research interests include signal processing, wireless communications, bioinformatics, and machine learning. He is an IEEE Fellow.
Speech Title: Timing Synchronization and Node Localization in Wireless Sensor Networks
Abstract: Wireless sensor networks consist of a large number of sensor nodes, capable of on-board sensing and data processing, that are employed to observe some phenomenon of interest. With their desirable properties of flexible deployment, resistance to harsh environment and lower implementation cost, wireless sensor networks envisage a plethora of applications in diverse areas such as industrial process control, battlefield surveillance, health monitoring, and target localization and tracking. This presentation will focus on deriving efficient estimators and performance bounds for the clock parameters in wireless sensor networks. Identifying the close connections between the problems of node localization and clock synchronization, we also address in this presentation the problem of joint estimation of an unknown node's location and clock parameters by incorporating the effect of imperfections in node oscillators. A review of the state-of-the-art results and open research problems will be also presented.
Prof. Yasuhiro Matsuda, Kanagawa Institute of Technology, Japan
Bio: Prof. Yasuhiro Matsuda obtained his Ph.D. degree from the University of Tokyo in 2007. He joined the Department of Welfare Systems Engineering at Kanagawa Institute of Technology in 2000, and later joined the Department of Robotics and Mechatronics. Now, he is a professor and department chair of the Department of Clinical Engineering. Prof. Matsuda’s expertise is in the field of assistive technology for deaf and/or blind persons and measurement engineering. Currently, his main research interest is in the development of the communication support system using Finger Braille for deafblind person and tactual communication tool for elderly person.
Speech Title: Finger Braille Recognition System
Abstract: Finger Braille is one of the communication media of deafblind people. In one-handed Finger Braille, a sender dots the left part of the Braille code on the distal interphalangeal (DIP) joints of the index, middle and ring fingers of a receiver, and subsequently dots the right part of the Braille code on the proximal interphalangeal (PIP) joints of the same fingers. To assist communication between deafblind individuals and non-disabled people, we have been developing a Finger Braille recognition system using small piezoelectric accelerometers worn by the receiver. The recognition system recognizes the dotting of Finger Braille by the deafblind person and synthesizes this tactile communication into speech for the non-disabled person. The accelerometers were mounted on the top of finger rings. The results of the evaluation experiment showed that the recognition system could recognize the dotted fingers and positions accurately when the interpreter dotted clearly.