About
Dr. Garima Verma working as an Associate Professor in the School of Computing, DIT University since Sep 2013. Garima received her Ph.D. degree in Computer Science Engineering from DIT University in 2018, and MTech in Computer Science Engineering from Uttarakhand Technical University in 2011. Garima has Qualified UGC Net in Computer Science and received a Gold Medal (First Merit) in MTech from Uttarakhand Technical University. Garima’s research interest includes cloud computing, Blockchain, and machine learning. Particularly the security aspects of cloud computing. The techniques she is working on are – Attribute-based encryption, De-duplication, VM Migration, Identity-based encryption, and secret sharing encryption. She has over 19 yrs. of industry and academic experience.
Prior to DIT University, she worked with CMC Ltd as a software developer and NIET Greater Noida as an Assistant Professor.
Employment
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DIT University
Education
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DIT University PhD2018 - Present
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Uttarakhand Technical University MTech2009 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (94)
- Swarm Intelligence Driven Early Prediction of Heart Disease: A Novel Machine Learning Approach Save
- Health Prediction Using Hybrid Deep Learning Models: A Transparent and Interpretable Approach Save
- Adaptive Swarm-Optimized Ensemble Learning for Generalizable Heart Disease Risk Prediction Save
- A lightweight and explainable cardiac signal framework for screening-oriented cardiometabolic risk assessment Save
- Sustainable and Fair Task Scheduling in Cloud Computing Using Hybrid Bio-Inspired Algorithms for Green Computing Save
- Deep Learning‐Driven Facade Segmentation and IoT‐Based Environmental Intelligence for Sustainable Urban Architecture Save
- Deep Learning-Driven Green Building Facade Segmentation: Enhancing Sustainable Urban Development Through U-Net Architectures, Edge Detection, and Attention Mechanisms Save
- Hybrid bio-inspired optimization for resource allocation and migration-aware load balancing in heterogeneous fog environments Save
- Interpretable Hybrid Deep Learning Model for Parkinson’s Disease Screening from Hand-Sketch Spiral and Waveform Images Save
- Sustainable Building Facades Optimization via Deep Learning-Enhanced Segmentation Methods for Improving Indoor Air Quality Save