Dr. Neha Sharma
Chandigarh University, Chitkara University, GD Goenka University, Shaheed Udham Singh Engineering College, Punjab Institute of Technology, Rajpura, Baba Banda Singh Bahadur Engineering College
About
Dr Neha Sharma working as Assistant Professor in Computer Science and Engineering Department in Chitkara University, Rajpura. She has received the M. Tech. (CSE), Ph.D. (Computer Science) degree in the area of Computer Science with vast teaching experience of more than 12 Years in reputed organizations. She has more than 100 international publications in the reputed peer reviewed journals including IEEE xplore, SCOPUS and SCI indexed. Her main area of research is the Image processing, Machine learning, Deep Learning, Cyber Security. She has also published several National & International Patents under the Intellectual Property Rights of Government of India & Abroad. She is actively associated in NAAC preparations at universities interface. She is associated in many highly impact society membership like IEEE (Senior Member), ACM, ISTE (Life-time Member).
Employment
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Chandigarh University2025 - Present
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Chitkara University Assistant Professor2022 - 2025
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Chandigarh University Assistant Professor2020 - 2022
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Punjab Institute of Technology, Rajpura Astt Prof2013 - 2014
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Mahan Computer services Senior Faculty2011 - 2012
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Shaheed Udham Singh College of Engineering and Technology Lecturer2009 - 2011
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Baba Banda Singh Bahadur Engineering College Lecturer2007 - 2008
Education
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GD Goenka University Doctorate of philoshophy2016 - 2022
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Shaheed Udham Singh Engineering College Masters of Technology2009 - 2013
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Baba Banda Singh Bahadur Engineering College Bachelor of Technology2003 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (134)
- Physical and Timing Vulnerabilities in Autonomous Drone Systems Beyond Electronic Warfare Save
- Quantum entropy-driven password generation: a hybrid cryptographic model integrating QRNG, PBKDF2, and robustness evaluation Save
- Mapping the trajectory of blockchain technology and non-fungible tokens: a comprehensive bibliometric analysis Save
- An efficient sentiment analysis technique based on fine-tuned EdBERT for virtual learning environments Save
- Detection of Real vs. Fake Face Enhanced by MobileNetV2 Save
- Exploring Parkinson’s Disease Progression and Patient Variability: Insights from Clinical and Molecular Data Analysis Save
- Gender Classification from Facial Features Using Logistic Regression and K-Nearest Neighbors Save
- Machine Learning Powered Asbestos Exposure Modeling Using Feature Extraction from IoT Based Sensor Data Save
- Navigating Post-quantum Blockchain: Resilient Cryptography in Quantum Threats Save
- Text Categorization for Information Retrieval Using NLP Models Save