Dr.Piyush Kumar Pareek

About

Dr.Piyush Kumar Pareek is currently serving as Professor & Head of the Department of Artificial Intelligence and Machine Learning & Intellectual Property Rights Cell of Nitte Meenakshi Institute of Technology , Bengaluru , He has an interest in continuous Learning and Teaching, Completed B.E, M.Tech., Ph.D., Post Doc in the field of Computer Science Engineering, Registered Patent Agent , Govt of India , Have 12+ Years of Experience in Teaching, Published 100+ Research Articles in Scopus Indexed Journals / Conferences , Have Published 10+ Text Books , Have 50+ Industrial Design Registered at Indian Patent Office , Have 25+ International Patents Granted, Filed and Published 50+ Indian Utility Patents , Guiding Ph.D. Scholars in Visvesvaraya Technological University, Belagavi, University of Mysore , Manipal University Bengaluru, Nitte University, Awarded 6 Students Ph.D. in Visvesvaraya Technological University, Belagavi, Senior Member in IEEE & MIE. Guest Editor in MDPI Electronics and Taylor & Francis Book Series , Reviewer in Springer , Elsevier, Wiley, Hindawi Journals. IPR and Publications Advisor for the Education Sector.

Employment

• NITTE Meenakshi Institute of Technology Professor & Head
  2022 - Present
• East West Institute of Technology Professor & Head
  2016 - 2022
• K.S.Institute of Technology Assistant Professor
  2013 - 2016
• G.S.S.I.T Assistant Professor
  2012 - 2012

Education

• Federal University of Ceará POST DOCTORAL FELLOWSHIP
  2021 - 2023
• Jain University PhD
  2012 - 2016
• Dayananda Sagar College of Engineering M.Tech
  2010 - 2012
• Basaveshwara Engineering College B.E
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (200)

• Brain Tumour Detection Using VGG‐Based Feature Extraction With Modified DarkNet‐53 Model
  International Journal of Biomedical Imaging 2025 DOI: 10.1155/ijbi/5535505
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• A Meticulous Evaluation of Musculoskeletal Fracture Diagnosis and Categorization Methods
  2025 DOI: 10.1007/978-981-96-3105-6_34
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• Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum
  Expert Systems 2025 DOI: 10.1111/EXSY.13383
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• Multidimensional Object Detection in Real Time Using Deep Learning Techniques
  2025 DOI: 10.1007/978-981-96-3105-6_26
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• Real-Time Object Detection and Classification Using Deep Learning Models
  2025 DOI: 10.1007/978-981-96-3105-6_25
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• Financial Innovations
  2024 DOI: 10.4018/979-8-3693-3354-9.ch012
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• Paperless Paradigm
  2024 DOI: 10.4018/979-8-3693-3354-9.ch009
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• AI-Driven Digital Twin and Industry 4.0
  2024 DOI: 10.1201/9781003395416
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• Digital Twin in Industry 4.0
  2024 DOI: 10.1201/9781003395416-5
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• 3-Dimensional Object Detection Using Deep Learning Techniques
  2024 DOI: 10.1007/978-981-99-7622-5_21
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