Dr.DIPALI SHENDE
Zeal College of Engineering and Research, Narhe Pune, Pimpri Chinchwad College of Engineering and Research, JSPM's Rajarshi Shahu College of Engineering, Sinhgad College of Engineering Vadgaon
About
I am Dr. Dipali Shende, working as Associate Professor in Zeal College of Engineering and Research, Pune, serving as Head of department at AIML engineering department. I hold a Ph.D. in E&TC Engineering with over 20 years of academic and research experience, including UGC-approved teaching and PG recognition. My expertise spans IoT, Embedded Systems, and AI, with 60+ research publications, Scopus-indexed conference leadership, and service as a Springer and Scopus reviewer. I have led and coordinated sponsored research project proposals, patents, and funded initiatives, and served in key roles such as NIRF nodal officer, program chair, and quality assurance leadership. I maintain a strong citation record across Google Scholar and Scopus and have actively conducted research methodology, IPR, and funding-related training programs for faculty. I am committed to strengthening research governance, funding acquisition, and interdisciplinary collaboration.
Employment
-
Zeal College of Engineering and Research, Narhe Pune Head of Depratment2026 - Present
-
Pimpri Chinchwad College of Engineering and Research Associate Dean Q & A2022 - 2026
-
Sinhgad Institute of Technology,Loanvala Assistant Professor2008 - 2022
Education
-
JSPM's Rajarshi Shahu College of Engineering Ph.D E & Tc Department2018 - 2023
-
Sinhgad College of Engineering Vadgaon ME E & Tc (VLSI/Embedded)2009 - 2011
-
Dr. Babasaheb Ambedkar Marathwada University BE E & Tc2000 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- A Deep Reinforcement Learning Approach to Dynamic Channel Selection Save
- Real Time Water Analytics and Purification System for Archaeological Water Bodies Save
- Sustainable Power Generation and Storage through Nanomaterials Save
- Detection and Simulation of Pancreatic Tumors and Cancer Prediction Based on Probability Model Save
- An efficient fault diagnosis model using Lappet Falco optimisation based on a deep neural network for the VSI under varying load conditions Save
- Sewage water management and healthcare monitoring in IoT using Optimized deep residual network Save
- Use of Improved Generative Adversarial Network (GAN) Under Insufficient Data Save
- Performance evaluation and comparative analysis of CrowWhale-energy and trust aware multicast routing algorithm Save
- An Iterative CrowWhale-Based Optimization Model for Energy-Aware Multicast Routing in IoT Save
- CrowWhale-ETR: CrowWhale optimization algorithm for energy and trust aware multicast routing in WSN for IoT applications Save