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Keynote Speakers

October 18-20, 2017  |  Newark, USA |  Newark Liberty International Airport Marriott |

2017 2nd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2017) will be held in Newark, USA during October 18-20, 2017. The aim of ICBSP 2017  is to present the latest research and results of scientists related to Biomedical Imaging, Signal Processing topics. This conference provides opportunities for delegates to exchange new ideas and application experiences face to face, to establish business or research relations as well as to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up-to-date scientific fields.

Keynote Speaker I

Prof. Jun F. Liang
Stevens Institute of Technology, USA

Recent Publications:
Traba C, Chen L, Azzam R, Liang JF, “Insights into discharge argon-mediated biofilm inactivation”. Biofouling, 29:1205-13 (2013).
Chen L, Liang JF, “Improved stability of bioactive peptides by controlling peptide assembling”. Biomacromolecules. 14:2326-31(2013).
Chen L, Dong S, Liang JF, “The Effects of Metal Ions on the Cytotoxicity and Selectivity of a Histidine-Containing Lytic Peptides” Int. J. Pept Res Ther. 19: 611-623, (2013).
Traba C, Chen L., Liang JF, “Low power gas discharge plasma mediated inactivation and removal of biofilms formed on biomaterials”. Cur. Appl. Phys, 13:12-18 (2013).
Chen L., Patrone N., Liang JF, “Peptide self-assembly on cell membranes to induce cell lysis”, Biomacromolecules, 13(10):3327-33 (2012)
Chen L, Tu Z Voloshchuk N, Liang JF, “Lytic peptides with improved stability and selectivity designed for cancer treatment”. J Pharm Sci. 101(4):1508-17 (2012).
Chen L, Liang JF, “Metabolic monosaccharides altered cell responses to anticancer drugs”. Eur J Pharm Biopharm. 81(2):339-45 (2012).
Kharidia R, Tu Z., Chen L., Liang JF, “Activity and Selectivity of Histidine-Containing Lytic Peptides to Antibiotic Resistant Bacteria”. Arch Microbiol . 194 (4) 579-685 (2012).
Recently Area:
Nano-Technology Enabled Bacteria and Cancer Cell Sensing. Recently, we are working on a nano-patterning technology which can be used in biosensor and other analytic devices in combination with specific molecules (peptides and signaling massagers) for high sensitivity molecular and cell (bacteria and tumor) sensing. Meanwhile, a novel nano-crystalization technology with targeting and controlled release properties is being studied for drugs (anticancer drugs, antibiotics) with poor solubility and limited therapeutic effectiveness.

Keynote Speaker II

Prof. Sri Krishnan
Ryerson University, Canada

Sridhar (Sri) Krishnan received the B.E. degree in Electronics and Communication Engineering from Anna University, Madras, India, in 1993, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Calgary, Calgary, Alberta, Canada, in 1996 and 1999 respectively. He joined Ryerson University, Toronto, Canada in 1999 and since October 2007 he has been appointed as a Canada Research Chair in Biomedical Signal Analysis. Sri Krishnan has published 280 papers in refereed journals and conferences, and five of his papers have won best paper awards. He is a Fellow of the Canadian Academy of Engineering, Senior Member of IEEE and a member of the Professional Engineers of Ontario. Sri Krishnan is a recipient of many national and provincial awards including the 2013 Achievement in Innovation Award from Innovate Calgary, 2011 Sarwan Sahota Distinguished Scholar Award, 208 Biodiscovery Award, 2007 Engineer Achievement Award from Engineers Canada; 2006 South Asian Community Achiever Award; 2006 New Pioneers Award in Science and Technology; 2006 Best IEEE Chapter Chair Award (Toronto Section); and 2005 Research Excellence Award from the Faculty of Engineering, Ryerson University."

Speech Title: "Advances in Biomedical Signal Analysis"

Abstract: A signal can be considered to be stationary if its statistical characteristics do not change with time. However, most real world signals are non-stationary and have highly complex time-varying characteristics. Common signal analysis and modelling techniques and classical time-frequency distributions (TFDs) do not readily provide the time-varying signal features of interest. There are several limitations with the classical parametric signal representations, and these problems could be obviated by using true nonstationary signal analysis tools such as adaptive signal representations and adaptive TFDs. Construction of proper adaptive TFDs and the methodologies for extracting instantaneous and quantifiable signal parameters will be discussed in detail. The extraction and monitoring of spectral and related parameters with time is of immense use in a variety of signal analysis applications such as RADAR, biomedical, and geophysics. Recent advances in using sparse signal representation and compressed sensing of 1D biomedical signals will also be covered. The application of the extraction and classification of complex instantaneous signal parameters with respect to three real world biomedical signals (cardiac electrograms, pathological speech signals and knee vibration signals) will be discussed in detail.


Plenary Speaker I

Assoc. Prof. Chaoyang Chen
Wayne State University, USA

Dr. Chaoyang Chen has more than 22 years of research experience focused on understanding orthopaedic biomechanics, nerve signal processing for proprioception and pain, bio-electrical signal processing for medical robot control, and carbon nanotube multi-electrode arrays (CNT-MEA) for human machine interface. He received his M.D. in Medicine from Fujian Medical University, China in 1987, and Master of Surgery degree from Beijing Medical University, China in 1990, followed by a postdoctoral fellowship in Department of Biomedical Engineering (BME) at Wayne State University (WSU), USA (1995-1998). He practiced clinical orthopaedic surgery in Fujian Medical University Affiliated First Hospital and conducted photo-elasticity biomechanical studies of spine fracture (1990-1994). In 1994, he was selected as International Fellow of the International Society for the Study of Lumber Spine, Seattle, WA. Then he joined the Department of BME, WSU in Detroit, MI, where he started in research on neurophysiology and robotic rehabilitation engineering. Currently, he is an Associate Professor and the Director of Robotic Rehabilitation Laboratory, Department of BME, WSU. He has won several academic awards from orthopaedic research society and car crash research society.

Speech Title: "Bio-Electrical Signal Processing for Medical Exoskeleton System Control"

Computer science progress in robotics has led to its expansion into medicine. Robotic rehabilitation medicine has become one of computer application areas, actively adopting robotic principles and achievements. Over the last decade robotic exoskeletons have been developed to rehabilitate lower limb and upper arm disability caused by stroke, spinal cord injuries or diseases. Bio-electrical signal processing for medical exoskeleton system control has become a hot research topic in robotic rehabilitation engineering. In this paper, we review the most recent robotic exoskeleton systems controlled by bio-electrical signals including electromyogram (EMG) and electroencephalogram (EEG). Bio-electrical signal processing methods used in our labs are introduced, including EEG digital signal processing for brain-computer interface and robotic arm control. Physiologic signal processing and it applications in intensifying the rehabilitation process are addressed. Current limitations of robotic rehabilitation engineering are also discussed.


Policy on Plagiarism

ICBSP is utterly intolerant of plagiarism. Submitted papers are expected to contain original work executed by the authors with adequate, proper and scholarly citations to the work of others. It is the job of the authors to clearly identify both their own contribution(s) and also published results / techniques on which they depend or build. Reviewers are charged to ensure these standards are met.


Contact Person: Ms. Macy Chou

Email:  icbsp@cbees.net

Tel.: +1-206-456-6022 (USA)