Gaurav Singal
Netaji Subhas University of Technology, Bennett University, Malaviya National Institute of Technology
About
Dr Gaurav Singal is an Assistant Professor in Computer Science and Engineering Department at Netaji Subhas University of Technology, (formerly known as NSIT), Delhi, India. He obtained his Ph.D. and M. Tech in Computer Science Engineering department from Malaviya National Institute of Technology Jaipur. He received the research grants from Department of Science and Technology, Uttar Pradesh on women security and Department of Biotechnology (Govt of India) on Assistive devices. He is actively working in research and teaching from last 10 years and published number of reputed conferences and journals. He is the member of scientific society such as IEEE, ACM. He is a certified as a NVIDIA Deep learning institute ambassador and UIPath RPA Advanced Developer.
Employment
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Netaji Subhas University of Technology Assistant Professor2021 - Present
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Bennett University Assistant Professor2017 - 2021
Education
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Malaviya National Institute of Technology PhD2013 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (73)
- Clustering Irregular Data Streams With Fuzzy Induction Save
- Surveying Technology Fusion in IoT Networks for IDS: Exploring Datasets, Tools, Challenges, and Research Prospects Save
- RETRACTED: Optimization using Internet of Agent based Stacked Sparse Autoencoder Model for Heart Disease Prediction Save
- Rediscovering Minutiae Matching Through One Shot Learning’s Siamese Framework in Poor Quality Footprint Images Save
- A New QoS Optimization in IoT-Smart Agriculture Using Rapid-Adaption-Based Nature-Inspired Approach Save
- Hazardous Object Detection for Visually Impaired People Using Edge Device Save
- Thresholding based Smart Home Automation System using K-means Save
- RoadWay: lane detection for autonomous driving vehicles via deep learning Save
- Design of Energy Efficient IoT-Based Smart Street Light System Save
- QEST: Quantized and Efficient Scene Text Detector Using Deep Learning Save