PV
Pawan Kumar Verma
Sharda University, MIT Art, Design and Technology University, Lovely Professional University, Jaypee University of Information Technology, GLA University
About
Associate Professor (CSE) • Associate Editor • Mentor @ Worldwide AI Hackathon! • Mentor @ UpGrad • ML Researcher • 1 IEEE Transactions Paper • 6 SCIE Papers • 1 ESCI Papers • 1 Design Patent • 9 Scopus Papers • 9 Conference Papers • 2 Book Chapter • Wipro Certified Java Trainer • 13 Years Teaching Experience • Pega CSA Certified
Employment
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Sharda University Associate Professor2023 - Present
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MIT Art, Design and Technology University Assistant Professor2022 - 2023
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GLA University Assistant Professor2015 - 2021
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GLA University (former GLNA Group of Institutions) Assistant Professor2011 - 2015
Education
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Lovely Professional University PhD2018 - 2022
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Jaypee University of Information Technology M.Tech2008 - 2010
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(ABES Engg. College) Uttar Pradesh Technical University B.Tech2004 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Prioritizing barriers to artificial intelligence adoption in circular economy–oriented smart cities: analytic hierarchy process Save
- LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering Save
- Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization Save
- Performance Evaluation of Bio Concrete by Cluster and Regression Analysis for Environment Protection Save
- MCred: multi-modal message credibility for fake news detection using BERT and CNN Save
- Quality analysis for reliable complex multiclass neuroscience signal classification via electroencephalography Save
- A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security against Cyberattacks in Healthcare Save
- PropFND: Propagation Based Fake News Detection Save
- UCred: fusion of machine learning and deep learning methods for user credibility on social media Save
- WELFake: Word Embedding Over Linguistic Features for Fake News Detection Save