Dr. Pradeep Kumar Tiwari

About

Dr. Pradeep Kumar Tiwari is an Associate Professor at MIT World Peace University (MIT-WPU). He has a diverse educational background, having pursued various degrees in the field of computer science. Dr. Tiwari pursuing (Postdoctoral), PhD in the Faculty of Engineering, M.Tech in Computer Science and Engineering (CSE), and M.Phil in Computer Science.
With over fourteen years of experience in teaching and research, Dr. Tiwari has made significant contributions to several areas of study. His research interests cloud computing, distributed systems, artificial intelligence (AI), and the Internet of Things (IoT). He has published extensively, with over fifty publications in Web of Science and Scopus indexed journals, conferences, and book chapters.
In addition to his publications, Dr. Tiwari has also made noteworthy contributions in terms of patents. He holds three granted patents and has three published patents related to computer science. His expertise and knowledge have been recognized in the academic community, as evidenced by his role as the editor of the book titled "Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning," which is indexed in Scopus. Moreover, Dr. Tiwari serves as a Technical Program Committee (TPC) member for numerous international conferences.
Dr. Tiwari's contributions to research have garnered accolades, as he has been honored with the prestigious "best researcher" award by a reputed organization. His expertise in the field has also led him to serve as a reviewer for several SCI and Scopus indexed journals.

Employment

• MIT World Peace University ASSOCIATE PROFESSOR
  2023 - Present

Education

• Manipal University Jaipur Ph.D.
  2014 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (112)

• Hybrid scale driven cascade CNN model for dense crowd counting and density estimation
  Journal of Integrated Science and Technology 2026 DOI: 10.62110/sciencein.jist.2026.v14.1570
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• Metaheuristic Optimization Algorithms for Crop Yield Prediction Using a Multi-Layer RNN Model
  2026 DOI: 10.1007/978-3-032-18846-5_29
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• IoT‐Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next‐Generation Techniques
  Computational Intelligence and Neuroscience 2023 DOI: 10.1155/2023/5113417
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• Blockchain enabled security mechanism for preventing data forgery in IoT-based smart homes
  Journal of Discrete Mathematical Sciences and Cryptography 2023 DOI: 10.47974/jdmsc-1769
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• Blockchain technology combined with the CNN and Hashing algorithms enabled the secure storage of 3D biometric face and ear data
  Journal of Discrete Mathematical Sciences & Cryptography 2023 DOI: 10.47974/jdmsc-1745
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• Blockchain-based Secure Storage Model for Multimodal Biometrics Using 3D Face and Ear
  2023 International Conference on Advancement in Computation and Computer Technologies, InCACCT 2023 2023 DOI: 10.1109/InCACCT57535.2023.10141695
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• COVID-19 Disease Classification Model Using Deep Dense Convolutional Neural Networks
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-4052-1_67
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• Energy efficient cloud computing using secure virtual machine migration: A taxonomy
  Journal of Discrete Mathematical Sciences & Cryptography 2023 DOI: 10.47974/jdmsc-1740
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• Face Mask Waste Generation and Its Management During Covid-19
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-1412-6_41
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• Forecasting COVID-19 Confirmed Cases in China Using an Optimization Method
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-4052-1_68
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