Computational Intelligence and Blockchain in Biomedical and Health Informatics

Author:   Pankaj Bhambri (GNDEC, Ludhiana) ,  Sita Rani (GNDEC, Ludhiana) ,  Muhammad Fahim
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032604701


Pages:   334
Publication Date:   19 June 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Computational Intelligence and Blockchain in Biomedical and Health Informatics


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Author:   Pankaj Bhambri (GNDEC, Ludhiana) ,  Sita Rani (GNDEC, Ludhiana) ,  Muhammad Fahim
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.825kg
ISBN:  

9781032604701


ISBN 10:   1032604700
Pages:   334
Publication Date:   19 June 2024
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr. Pankaj Bhambri works in the Department of Information Technology at Ludhiana’s Guru Nanak Dev Engineering College. He serves as the Institute’s Coordinator, Skill Enhancement Cell, and has almost two decades of teaching experience. He earned his M.Tech. (CSE) and a B.E. (IT) with honors from the I.K.G. Punjab Technical University, Jalandhar, India, and Dr. B.R. Ambedkar University, Agra, India, respectively. Dr. Bhambri earned his doctorate in computer science and engineering from the I.K.G. Punjab Technical University, Jalandhar, India. His research has appeared in a variety of prestigious international/national journals and conference proceedings and he has contributed to numerous books and has also filed several patents. Dr. Bhambri has been awarded the ISTE Best Teacher Award in 2023 and 2022, the I2OR National Award in 2020, the Green ThinkerZ Top 100 International Distinguished Educators in 2020, the I2OR Outstanding Educator Award in 2019, the LCHC Best Teacher Award in 2007, the CIPS Rashtriya Rattan Award in 2008, and the SAA Distinguished Alumni Award in 2012 along with countless other accolades from various government and non-profit organizations. Machine Learning, Bioinformatics, Wireless Sensor Networks, and Network Security are his areas of interest. Dr. Sita Rani is working as an Assistant Professor in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She has served as Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). Dr. Rani completed her B.Tech and M.Tech degrees in the faculty of Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K.Gujral Punjab Technical University, Kapurthala, Punjab in the year 2018 and has more than 19 years of teaching experience. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to various research activities while publishing articles in renowned journals and conference proceedings. She has three international patents to her credit as well. Her research interest includes Parallel and Distributed Computing, Machine Learning, and the Internet of Things (IoT). Dr. Muhammad Fahim is a Lecturer (Assistant Professor) in AI theme at the School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen's University Belfast, and a member of the Centre for Data Sciences and Scalable Computing (DSSC), and hold a fellowship Global Institute for Innovation. Fahim worked as an Assistant Professor at the Institute of Data Science and Artificial Intelligence, Innopolis University, Russia from Sept. 2017 to June 2021. He also served as an Assistant Professor in the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Istanbul, Turkey, and led a machine learning research lab for 3 years (i.e., Sept. 2014 to Aug. 2017). Fahim earned Ph.D. in Artificial Intelligence and made a significant contribution to the ubiquitous lifecare research center in Seoul, South Korea. His contributions to this field are based on the design and development of novel machine-learning models to process the sensory data streams collected in smart environments including smart homes, buildings, and wearables.

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