Neha Garg

About

Dr. Neha Garg is a dedicated academician, researcher, and educator with strong expertise in emerging technologies, intelligent systems, and interdisciplinary computing applications. She has been actively involved in higher education and research, contributing to the advancement of knowledge in areas such as artificial intelligence, machine learning, data privacy, secure digital systems, and communication-enabled intelligent applications.
Her scholarly contributions include multiple book chapters and research-based publications with reputed national and international publishers. Her work spans diverse yet interconnected domains, including federated learning, AI-driven healthcare systems, privacy-preserving technologies, online banking security, and scalable communication frameworks. These contributions reflect her commitment to addressing contemporary technological challenges through innovative and research-oriented approaches.
Dr. Garg has also played an active role in academic mentoring, curriculum delivery, and fostering research aptitude among students and peers. Her academic profile is strengthened by her ability to bridge theoretical concepts with practical applications, particularly in technology-driven environments.

Employment

• Delhi Technical Campus Associate professor
  2026 - Present
• Manav Rachna International Institute of Research and Studies Asssitant Professor
  2009 - 2025

Education

• Manav Rachna International Institute of Research and Studies Ph.D
  2017 - 2023
• Banasthali Vidyapith M.Tech
  2007 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• Application of machine learning techniques for early pregnancy health monitoring: A first trimester perspective
  AIP Conference Proceedings 2026 DOI: 10.1063/5.0329068
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• Enhanced cyber security through the application of machine learning in detecting fake URLs
  AIP Conference Proceedings 2026 DOI: 10.1063/5.0329069
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• SCAPS-1D study on the design and performance optimization of Sr3NCl3 solar cell: Assessing the significance of copper oxide (Cu2O) and copper(I) thiocyanate (CuSCN) as hole transport layers
  Journal of Physics and Chemistry of Solids 2026 DOI: 10.1016/j.jpcs.2025.113170
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• Augmented Fitness: A Secure Intelligent System for Elderly Well-being
  2025 2nd International Conference on Intelligent Systems for Cybersecurity (ISCS) 2025 DOI: 10.1109/iscs69371.2025.11386381
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• Role of hole transport layers in normal and inverted bulk heterojunction organic solar cells: A light intensity dependent capacitance-voltage analysis
  Materials Science in Semiconductor Processing 2025 DOI: 10.1016/j.mssp.2025.109736
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• A Comparative Machine Learning Framework for Binary Bioactivity Classification of Drug-Like Compounds
  2025 3rd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) 2025 DOI: 10.1109/icaiccit68829.2025.11434119
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• A Comprehensive Study for NBA Game Player Position Prediction Using Feature Analysis and Machine Learning
  2025 3rd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) 2025 DOI: 10.1109/icaiccit68829.2025.11434058
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• Foundations of Federated Intelligent Systems in Healthcare
  Federated Intelligent System for Healthcare 2025 DOI: 10.1002/9781394271382.ch4
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• A Smart Approach to Pneumonia Detection Using Deep Learning
  2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) 2024 DOI: 10.1109/icaiccit64383.2024.10912224
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• InvestMate: A Hybrid AI-Driven Financial Chatbot for Personalized Stock Predictions and Investor Education
  2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) 2024 DOI: 10.1109/icaiccit64383.2024.10912150
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