Metaheuristics and Reinforcement Techniques for Smart Sensor Applications - Sinha, Adwitiya; Manju; Singh, Samayveer
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This book discusses the fundamentals of wireless sensor networks, the prevailing methods, and trends of smart sensor applications.

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Produktbeschreibung
This book discusses the fundamentals of wireless sensor networks, the prevailing methods, and trends of smart sensor applications.
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Autorenporträt
Dr. Adwitiya Sinha is working as Associate Professor in the Department of Natural and Applied Sciences, TERI School of Advanced Studies since February 2024. Previously, she served academics & research for approximately 11 years in the Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida-62, U.P., since February 2013. Moreover, during her doctoral research career in Jawaharlal Nehru University since 2008, she received First Rank certificate for topping through all semesters in M.Tech. batch 2008-2010. She was also awarded with Senior Research Fellowship (SRF) by Council of Scientific & Industrial Research (CSIR) in 2012. She has published more than 90 articles as SCI/Scopus journals, international conferences, books, and chapters. She has been in the publication & review committee of IEEE/ACM International Conference on Contemporary Computing since year 2013. She has also delivered Lecture Series on Networks & Graphs, Wireless Sensor Networks, and Performance Analysis of Computing Systems; organized by UGC, CEC, New Delhi in form of EDUSAT Live Lectures. She has guided 21 post-graduate dissertation/industrial thesis and more than 75 graduate minor/major projects in data science, social networking, large-scale graph algorithms, sensor networks, data mining & machine learning. She is also supervisor to 5 PhD scholars in the field of data science, social networking and sensor networks, of which 4 have been awarded. For her contribution to research, she was promoted as IEEE Senior Member in 2019 by Institute of Electrical & Electronics Engineers (IEEE), New York, USA. She is also an active professional member of ACM research community. Affiliation: Department of Natural and Applied Sciences, TERI School of Advanced Studies, Vasant Kunj, New Delhi Email: mailtoadwitiya@gmail.com Phone: +91-9811448990 Dr. Manju has received Ph.D. in Computer engineering from Delhi University, New Delhi, India in 2018. She has obtained master's degree in computer and communication engineering from the LNMIIT, Jaipur, India in 2009 and Bachelor degree in Computer Engineering from Govt. Engineering College Kota, India in 2006. She has published more than 30 publications in repute international journals and conferences. Presently, she is working as an Assistant Professor in the Department of Computer Science & Engineering at Jaypee Institute of Information Technology (JIIT), Noida, India. Her research interest focused on Algorithm Designing, Adhoc Networks, Internet of Things Network, Security in Fog Computing/Edge. Affiliation: Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh Email: manju.nunia@gmail.com Phone: +91-9560686262 Dr. Samayveer Singh has received his Ph.D. in the Department of Computer Engineering from Delhi University, New Delhi, India in 2016. He obtained his master's degree in computer science and engineering from National Institute of Technology, Jalandhar, Punjab, India, in 2010 and Bachelor degree in Information Technology from Uttar Pradesh Technical University, Lucknow, India in 2007.He has published more than 60 research papers in international journals and conferences. Currently, he is working as an Assistant Professor in Computer Science and Engineering Department, National Institute of Technology Jalandhar, Punjab India. His research interest includes wireless sensor networks, data hiding, and information security. Affiliation: Department of Computer Science and Engineering, National Institute of Technology Jalandhar, Punjab, India Email: samayveersingh@gmail.com Phone: +91-9953741966