Dr. PAWAN KUMAR
Galgotias University, Chandigarh University, Teerthanker Mahaveer University
0000-0002-3582-0266
About
Dr. Pawan Kumar is an accomplished academician and researcher with over 17 years of experience in teaching and research in Computer Science and Engineering. He is currently serving as an Associate Professor at Galgotias University, Greater Noida. He holds a Ph.D. in Computer Science & Engineering from Deenbandhu Chhotu Ram University of Science and Technology (DCRUST), Murthal.
His areas of expertise include Software Testing, Security Testing, Malware Analysis, Android App testing, and Machine Learning. Dr. Kumar is a prolific researcher with 20+ SCI and Scopus-indexed publications. He has contributed to several Scopus indexed national and international conferences. He holds two design patents and is an active member of IEEE (Delhi Section) and IAENG.
Dr. Kumar has received awards such as the Star Educator Award – Best Teacher of Department at Chandigarh University and the Arya Bhatta Research Scholarship from the Directorate of Higher Education, Haryana. He has actively contributed to institutional development through key academic roles, including research coordination, NBA/NAAC documentation, and academic planning.
Employment
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Galgotias University Associate Professor2025 - Present
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Chandigarh University Assistant Professor2022 - 2025
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Teerthanker Mahaveer University Assistant Professor2022 - 2022
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Bhagwan Mahaveer Institute of Engineering and Technology Assistant Professor2010 - 2021
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Shri Balwant Institute of Technology Lecturer2007 - 2008
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- Machine Learning‐based Approaches for Energy Management and Optimization for Smart Cities Save
- Enhancing android application security: A novel approach using DroidXGB for malware detection based on permission analysis Save
- An efficient security testing mechanism for Android Apps based on malware analysis and optimized XGBoost Save
- An Efficient Security Testing for Android Application Based on Behavior and Activities Using Improved PCA and DNN-KNN Classifier Save
- Security Defect Identification of Android Applications by Permission Extraction using Machine Learning Save
- WoS Bibliometric-based Review for Security Testing of Android Applications using Malware Analysis Save
- Security Testing of Android Apps Using Malware Analysis and XGboost Optimized by Adaptive Particle Swarm Optimization Save
- Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease Save
- An Approach Based on Parallel Computing for Performance Tuning of the Denoising Filter Used in Medical Imaging Save
- A hybrid machine learning model for timely prediction of breast cancer Save