About the Book
The massive advancement in various sectors of technology including forensic science is no exception. Integration of deep learning (DL) and artificial intelligence (AI) in forensic intelligence plays a vital role in the transformational shift in the effective approach towards the investigation of crimes and solving criminal investigations with foolproof evidence. As crimes grow increasingly sophisticated, traditional investigative tactics may be inadequate to grapple with the complexities of transnational criminal organizations. DL uses scientific tools for the recognition of patterns, image and speech analysis, and predictive modeling among others which are necessary to help solve crimes. By studying fingerprints, behavioral profiling, and DNA in digital forensics, AI powered tools provide observations that were inconceivable before now. Forensic Intelligence and Deep Learning Solutions in Crime Investigation discusses the numerous potential applications of deep learning and AI in forensic science. It explores how deep learning algorithms and AI technologies transform the role that forensic scientists and investigators play by enabling them to efficiently process and analyze vast amounts of data with very high accuracy in a short duration. Covering topics such as forensic ballistics, evidence processing, and crime scene analysis, this book is an excellent resource for forensic scientists, investigators, law enforcement, criminal justice professionals, computer scientists, legal professionals, policy makers, professionals, researchers, scholars, academicians, and more.
About the Author :
Christian Kaunert is Professor of International Security at Dublin City University, Ireland. He is also Professor of Policing and Security, as well as Director of the International Centre for Policing and Security at the University of South Wales. In addition, he is Jean Monnet Chair, Director of the Jean Monnet Centre of Excellence and Director of the Jean Monnet Network on EU Counter-Terrorism ( ). Anjali Raghav is a legal professional and accomplished academic, currently a Research Scholar at the Sharda School of Law, Sharda University, Greater Noida, India. With a solid educational foundation, she holds a Master in Law from Sharda School of Law, where she cultivated her expertise in Criminal Law, Intellectual Property Rights, Artificial Intelligence, Machine Learning, Blockchain Technology, Sustainable Energy, etc. Her three years of experience as a criminal practicing lawyer have equipped her with practical legal insights that she seamlessly integrates into her academic and editorial endeavors. She has a robust portfolio of publications in esteemed journals and books, reflecting her dedication to contributing to the body of knowledge in her fields of interest. Her research has been recognized on various platforms, as evidenced by her participation in national and international conferences, seminars, webinars, and symposiums. Also, in her academic and research pursuits, Anjali is a skilled editor, having successfully overseen the editorial process of several publications. Kamalesh Ravesangar is a highly committed academician with over 11 years of experience in teaching Certificate, Diploma, Degree, and supervision for MBA(coursework mode) students from various social and cultural backgrounds at private colleges and universities. Currently, she works as Assistant Lecturer at Tunku Abdul Rahman University of Management & Technology in Malaysia. Moreover, she has a total of three years of experience in industries related to educational, manufacturing, recruitment, and engineering. She is also a Professional Member of Malaysian Institute of Human Resource Management (MIHRM). A subject matter expert in human resource management, human resource development, management and organizational behavior studies. She has published articles and reviewed articles in online journal publications. She holds a Phd (doctorate) and a Master’s degree in Organizational Behavior and Human Resource Management. She is also peer-reviewer for a few journals in the field of Business, Management, HRM. In addition, she has been awarded ” Certificate of Recognition & Excellence in Reviewing by Asian Journal of Economics, Business & Accounting and Journal of Global Economics, Management and Business Research & Institute of Industry and Academic Research Incorporated (IIARI). Dr. Bhupinder Singh working as Professor at Sharda University, India. Also, Honorary Professor in University of South Wales UK and Santo Tomas University Tunja, Colombia. His areas of publications as Smart Healthcare, Medicines, fuzzy logics, artificial intelligence, robotics, machine learning, deep learning, federated learning, IoT, PV Glasses, metaverse and many more. He has 3 books, 139 paper publications, 163 paper presentations in international/national conferences and seminars, participated in more than 40 workshops/FDP's/QIP's, 25 courses from international universities of repute, organized more than 59 events with international and national academicians and industry people’s, editor-in-chief and co-editor in journals, developed new courses. He has given talks at international universities, resource person in international conferences such as in Nanyang Technological University Singapore, Tashkent State University of Law Uzbekistan; KIMEP University Kazakhstan, All’ah meh Tabatabi University Iran, the Iranian Association of International Criminal law, Iran and Hague Center for International Law and Investment, The Netherlands, Northumbria University Newcastle UK, Taylor's University Malaysia, AFM Krakow University Poland, European Institute for Research and Development Georgia, Business and Technology University Georgia, Texas A & M University US name a few. His leadership, teaching, research and industry experience is of 16 years and 3 Months. His research interests are health law, criminal law, research methodology and emerging multidisciplinary areas as Blockchain Technology, IoT, Machine Learning, Artificial Intelligence, Genome-editing, Photovoltaic PV Glass, SDG’s and many more.
