Dr. Gaurav Vishnu Londhe is an Associate Professor at Symbiosis Institute of Technology, Nagpur. With extensive contributions to academia and research, Dr. Londhe has published numerous research papers, book chapters, and authored books in domains such as Cloud Computing, Blockchain, Smart Solutions, and Wireless Sensor Networks. His scholarly work has been widely recognized, with publications indexed in Scopus and Web of Science. In addition to his academic achievements, he has authored and published three patents, reflecting his commitment to innovation and applied research. Dr. Londhe has previously served as the Head of the Directed Center of Excellence for Industrial IoT and Digital Transformation, where he led impactful initiatives in research and innovation. He has also held leadership roles as the Head of MBA Tech (5-Year Integrated Program with specialization in Computer Engineering) and the Department of CSE–IoT and MBA Digital Transformation, contributing to academic development and program growth. Additionally, he played a pivotal role in student career development by leading the Placement Cell.
Through his expertise and leadership, he continues to drive advancements in Industrial IoT, Cloud, Blockchain, and Digital Transformation.
Sr. No |
Content |
|---|---|
1 |
Gaurav Londhe et al., (2024). Development of Precision Medicine for Hepatic Cancer Evolving Molecular Profiling Techniques through Artificial Intelligence. Journal of the Balkan Tribological Association. 30(1). |
2 |
Gaurav Londhe et al., (2024). Integration of RES and AI for Grid Distribution Network Energy Management. Taylor & Francis. 1–22. |
3 |
Gaurav Londhe et al., (2024). Energy Trading and Optimum Scheduling for Microgrids Using Multiple Agents Based DL Approach. Taylor & Francis. 1–19. |
4 |
Gaurav Londhe et al., (2024). Optimizing Bioimaging: Quantum Computing-Inspired Bald Eagle Search Optimization for Motor Imaging EEG Feature Selection. SAGE Publications, Clinical EEG and Neuroscience. Online. |
5 |
Gaurav Londhe et al., (2023). Enhanced Induction Motor Control Using Deep Reinforcement Learning and PWM with DTC. Taylor & Francis. 1–13. |
6 |
Gaurav Londhe et al., (2023). Accurate and Automated Deep Learning Solution for Skin Cancer Detection. Elsevier. 11. |
7 |
Gaurav Londhe et al., (2021). Big Data for Time Series and Trend Analysis of Poly Waste Management in India. Elsevier. 37. |
8 |
Gaurav Londhe et al., (2021). A SERVQUAL Based E-Commerce Platform for Indian Customers. Journal of Contemporary Issues in Business and Government. 27(2). |
Sr. No |
Content |
|---|---|
1 |
Gaurav Londhe et al., (2024). A Method Leveraging AI to Forecast Employee Performance during Work Hours and Propose Appropriate Salary Adjustments. IEEE International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). Online. |
2 |
Gaurav Londhe et al., (2024). Stock Mocker. IEEE Parul International Conference on Engineering and Technology (PICET). Online. |
3 |
Gaurav Londhe et al., (2024). A Blockchain-Centered Strategy for Ensuring Secure Data Sharing with Management Keys in IoT Environments. IEEE International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). Online. |
4 |
Gaurav Londhe et al., (2024). Supervised Deep Learning Methodology for Autonomous Vehicle Routing. IEEE International Conference on Advances in Computing, Communication and Materials (ICACCM). Online. |
5 |
Gaurav Londhe et al., (2023). Deep Learning for Automated Lesion Detection in Mammography. IEEE Conference. Online. |
6 |
Gaurav Londhe et al., (2023). A Comprehensive Analysis of Network Coding for Efficient Wireless Network Communication. IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA). Online. |
7 |
Gaurav Londhe et al., (2023). Blockchain-Based Trust Management Scheme Over the Spatiotemporal Features of Software-Defined Vehicle Network. IEEE International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS). Online. |
8 |
Gaurav Londhe et al., (2019). Hybrid Energy Aware Routing (HEAR) Approach (Using Network Simulator). Springer Nature – First International Conference on Sustainable Technologies for Computational Intelligence. 269–278. |
NA