PI
Piyush Ingole
Yeshwantrao Chavan College of Engineering, Jhulelal Institute of Technology, Rashtrasant Tukadoji Maharaj Nagpur University, NR Solutions
Research areas: Computer Science · Computer Networks and Communications · Mobile Ad Hoc Networks · IPv6, Mobility, Handover, Networks, Security · Wireless Communication Networks Research
Employment
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Yeshwantrao Chavan College of Engineering Assistant Professor2024 - Present
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Jhulelal Institute of Technology Assistant Professor2021 - 2024
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NR Solutions Technology Trainer2019 - 2021
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Raisoni Group of Institutions Assistant Professor2011 - 2019
Education
- ? - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (66)
- Scaling Faculty AI Literacy Save
- Deep Dive into Nutrition: Leveraging AI for Healthier Lifestyles Save
- Empowering Educational Development and Faculty Growth With AI Save
- Federated learning for privacy-preserving multi-center tuberculosis diagnosis using chest imaging data Save
- FinTech-Enabled Microfinance for Last-Mile Communities: A Pathway Toward SDG 1 and SDG 8 Save
- Integrated Urban WASH Planning: Bridging Informal Settlements and Formal Infrastructure Save
- Swin Transformer for Robust Diabetic Retinopathy Classification Save
- A Mathematical Model to Enhance Creativity in Generative AI Systems Save
- Advanced Heart Disease Prediction: Deep Learning-Enhanced Convolutional Neural Network in the Internet of Medical Things Environment Save
- An Statistical Analysis of Gated Recurrent Unit Based Predictive Modelling for Dynamic Obstacle Avoidance in Autonomous Aerial Vehicles Save
- Enhancing Security and Reliability in Industrial IoT Networks through Machine Learning Save
- Optimizing Resource Allocation in Hospitals Using Predictive Analytics and Information Systems Save
- Optimizing Resource Allocation in Cloud for Large-Scale Deep Learning Models in Natural Language Processing Save
- Optimizing Resource Allocation in Cloud for Large-Scale Deep Learning Models in Natural Language Processing. Save
- Deep Learning for Disease Prediction: A Survey Save
- Deep Learning for Disease Prediction: A Survey Save
- Modality of Multi-Attribute Decision Making for Network Selection in Heterogeneous Wireless Networks Save
- Model for Real-Time Communication between Vehicles in VANET Save
- Nutrition Deficiency Analysis in Humans using Block-chain Technology Save
- Nutrition Deficiency Analysis in Humans using Blockchain Technology Save