T�tulo: Technologies to Advance Automation in Forensic Science and Criminal Investigation
Editor: Information Science Reference
Fecha de publicaci�n: 2021
Idioma: Ingl�s
ISBN 10: 1799883876
ISBN 13: 9781799883876
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

Within modern forensic science and criminal investigation, experts face several challenges including managing huge amounts of data, handling miniscule pieces of evidence in a chaotic and complex environment, navigating traditional laboratory structures, and, sometimes, dealing with insufficient knowledge. These challenges must be overcome to avoid failure in investigation or miscarriage of justice.

Technologies to Advance Automation in Forensic Science and Criminal Investigation provides a platform for researchers to present state-of-the-art technologies within forensic science and criminal investigation. Covering topics such as financial fraud, machine learning, and source camera identification, this book is an essential reference for criminal investigators, justice departments, law enforcement, legislators, computer scientists, automation professionals, researchers, academicians, and students and educators in higher education.

Acerca de los autores

Chung-Hao Chen received his Ph.D. in Electrical Engineering at the University of Tennessee, Knoxville in August 2009, and his B.S. and M.S. in Computer Science and Information Engineering from Fu-Jen Catholic University, Taiwan in 1997 and 1999, respectively. In April 2001, he joined the Panasonic Taiwan Laboratory Company, Ltd. as a research and development engineer where he remained until August 2003. In August 2009, he joined in the department of Math and Computer Science at North Carolina Central University as an assistant professor. Since August 2011, he joins in the department of Electrical and Computer Engineering at Old Dominion University and he is currently an associate professor. His research interests include robotics, automated surveillance systems, pattern recognition, image processing, artificial intelligent systems, data analysis and mining, and network performance analysis. He has published more than 70 peer reviewed articles.

Wen-Chao Yang received the B.S. degree from Central Police University in 1997, M.B.A. degree from National Central University in 2002 and Ph.D. degree from National Chiao Tung University in 2014. He worked for the Forensic Laboratory at Central Police University from 1997 through 2005 and became an information system manager in Computer Center at Central Police University from 2005 through 2014. In 2015, he joined the Department of Forensic Science at Central Police University to be an Assistant Professor. His major research interests include image processing, information hiding, and forensic sciences. Dr. Yang is a founder of the Multimedia Processing Laboratory at Central Police University and a frequent forensic appraiser to government in the area of image, video, and digital evidence. He has published numerous articles related to steganography, multimedia forensic, and computer aided forensic examination. Dr. Yang is a senior member of Taiwan Academy of Forensic Sciences and the Chinese Cryptology and Information Security Association. He is now a Secretary General of Taiwan Academy of Forensic Sciences.

Lijia Chen is an Associate Professor of Communication Engineering in the School of Physics and Electronics, Henan University, Henan Province, China. At present, Dr. Chen is the leader of the first-class specialty and excellent engineer pilot specialty of communication engineering in Henan Province, the leader of the excellent experimental class of communication engineering, the member of the innovation team of Henan Province, and the deputy director of the experimental teaching center of electronic and communication engineering in Henan Province. Director of Kaifeng Intelligent Manufacturing Engineering Technology Research Center, member of Henan Communication Society and member of Henan intelligent manufacturing Committee. In addition, he is serving as Director of Graduate Studies in Detection Technology and Automation, head of Communication Engineering, and member of the research group in the Laboratory of advanced computation methods and intelligent applications. His research interests are in Evolutionary Computation, Communication Network, Digital Signal Processing and Evolutionary Design Methods on Electronic Circuits and Systems. He has published over 20 journal papers, over 10 conference papers and 7 granted patents.

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