Bhawana Garg

About

Dr. Bhawana Garg is an Associate Professor at Ramrao Adik Institute of Technology, affiliated with D.Y. Patil Deemed to be University. She has extensive academic and research experience in the fields of Internet of Things (IoT), Artificial Intelligence, Machine Learning, Wireless Sensor Networks, and Smart Healthcare Systems.
Her research focuses on the development of intelligent and IoT-enabled solutions for healthcare monitoring, predictive analytics, and smart environments. She has contributed to several research publications in reputed journals and conferences, particularly in the areas of IoT-based healthcare systems, deep learning applications, and data analytics.
Dr. Garg is actively involved in teaching undergraduate and postgraduate courses related to IoT, computer networks, data analytics, and emerging technologies. She has guided numerous student projects and research activities, encouraging innovation and interdisciplinary learning.
She is also actively involved in Institutional Quality Assurance Cell (IQAC) activities, contributing to academic quality enhancement, accreditation processes, outcome-based education initiatives, and institutional development activities. Her participation in IQAC reflects her commitment to continuous improvement in higher education and academic excellence.
In addition to her academic responsibilities, she participates in curriculum development, technical workshops, faculty development programs, and collaborative research initiatives. Her work emphasizes practical and scalable technological solutions aimed at addressing real-world challenges in healthcare and smart systems.

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (4)

• Adaptive Tri-Modal Computation Offloading for Android Systems: A Performance-Centric Analysis Across Local, Cloud, and Network Execution
  2026 6th International Conference on Expert Clouds and Applications (ICOECA) 2026 DOI: 10.1109/icoeca68095.2026.11485590
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• Xception Convolutional Generative Adversarial Network-Based Intrusion Detection in Internet of Things Systems
  New Review of Information Networking 2025 DOI: 10.1080/13614576.2025.2554583
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• Precision measurement of ADC parameters with cumulative histogram technique using Gaussian noise
  Microelectronics Journal 2020 DOI: 10.1016/j.mejo.2020.104875
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• Characterization of Analog to Digital converter using histogram method with noise as stimuli
  2014 International Conference on Computer Communication and Informatics: Ushering in Technologies of Tomorrow, Today, ICCCI 2014 2014 DOI: 10.1109/ICCCI.2014.6921785
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