
Data Science and Innovations for Intelligent Systems
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This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.
Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
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Harmunish Taneja is an Assistant Professor at DAV College, Sector 10, Panjab University, Chandigarh. He obtained his Ph.D. in Computer Science and Applications from Kurukshetra University, Kurukshetra. He is having more than 21 years of teaching and research experience. He has guided 05 M.Phil. students and more than 90 PG students of various universities. 04 students are pursuing Ph.D. under his guidance. He is reviewer of many reputed Journals and has been Review Committee member of many conferences. His research interests are Information Computing, Mobile Adhoc Networks, Image processing, Data Science, Recommender systems and System Simulation. He has published and presented over 55 papers in International Journals / Conferences of repute. He has also authored books of Computer Science and Applications.
Kuldeep Kumar works at the Department of Computer Science and Engineering, National Institute of Technology Jalandhar, India. He received his PhD degree in Computer Science from the National University of Singapore in 2016. Prior to joining the institute, he worked for 2 years in the Birla Institute of Technology and Science, Pilani, India. He received his PhD in Computer Science from the School of Computing, National University of Singapore (NUS SoC), Singapore in 2016. He has several publications in reputed international journals/conferences.
Arvind Selwal works as Assistant Professor in the Department of Computer Science and Information Technology, Central University of Jammu, India. His research interest includes machine learning, biometric security, digital image processing and soft computing. He has contributed more 25 research articles in reputed International Journals He has authored a book titled "Fundamentals of Automata Theory and Computation". He is an active member of Computer Society of India (CSI). He is undertaking two research projects from DRDO, New Delhi, India.
Eng Lieh Ouh obtained his PhD in Computer Science (Software Engineering) from the National University of Singapore. He is involved in several large-scale information technology industry projects for a decade at IBM Singapore and Sun Microsystems before joining academia as an educator. His research areas are software reuse, software architecture design, design thinking and software analytics. He has experiences delivering courses for the postgraduate students, undergraduate students and industry participants in the software engineering areas including design thinking, practical software architecture design, security engineering and mobile development. He received multiple teaching excellence awards and industry projects recognition awards throughout his career.
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