0000-0003-2658-4369 About
Dr. Mudita is working as an Assistant Professor in IILM University, Greater Noida. She holds a Ph.D. in Computer Science and Engineering from Chitkara University, along with an M.Tech and B.Tech in the same field from Kurukshetra University. She has also qualified for UGC-NET and HTET. Dr. Mudita has authored more than 100 papers in prestigious SCOPUS/SCI journals and IEEE conferences and holds more than ten patents, showcasing her innovative contributions. She is a lifetime member of the Institution of Engineers (IEI) and an associate member of the International Society for Development and Sustainability (ISDS).
Her achievements include receiving the Best Thesis Award for her PhD research work on Fault Prediction Recommender Model for IoT-enabled offices and the Best Paper Award for her work on a Smart Dispensing Unit for Optimizing Sanitizer Quantity. Proficient in programming languages like C, C++, HTML, CSS, and Python, she has taught subjects such as Web Technologies, Operating Systems and Database Management Systems. Dr. Mudita actively mentors M.E. and Ph.D. students and serves as a reviewer for high-impact journals and conferences. Her participation in workshops and seminars further enhances her expertise in the field.
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Publications (81)
- Stacking ensemble-based predictive maintenance framework on AI4I datasets in IIoT systems for forecasting machine failures Save
- An Enhanced MRI-Based Model for Brain Tumor Classification Using Fine-Tuned InceptionV3 Save
- Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum Save
- Analyzing the impact of edge, fog and cloud computing on predictive maintenance in the Industrial Internet of Things Save
- Assessing Crop Yield Sensitivity to Climate Variables with Regression Models Save
- Convolutional Neural Network-based Framework for Brain Tumor Classification and Segmentation using Magnetic Resonance Images Save
- Convolutional Neural Network-based Multi-Classification of Skin Disease with Fine-Tuned ResNet50 and VGG16 Save
- Deep Neural Network Framework for Predicting Cardiovascular Diseases from ECG Signals Save
- Enhanced Security: Combining ANN and SVM for Superior Brute Force Attack Detection in Cloud Environments Save
- Enhancing Accuracy of Financial Fraud Detection in Mobile Transactions Using Xgboost Algorithm Save
- Enhancing accuracy through ensemble based machine learning for intrusion detection and privacy preservation over the network of smart cities Save
- Evaluating Machine Learning Algorithms for Early Detection of Alzheimer's Disease Save
- Financial Market Forecasting: Enhancing RNNs for Improved Stock Prediction Save
- Fine-Tuned EfficientNetB0 Model for Accurate Bird Species Identification and Multi-Classification Save
- GarbageDetectNet: A Framework for Multi-Class Garbage Detection using Convolutional Neural Network Save
- Generative AI Meets IoT: A Bibliometric Mapping of Research and Development Save
- Integrative Approaches in Image Analysis and Signal Interpretation Save
- Mapping Research Trends in Deep Learning for Brain Tumor Classification: A Bibliometric Analysis Save
- Sustainable approaches in medical imaging: Enhanced MRI-based brain tumor classification using transfer learning for urban health applications Save
- A Bibliometric Overview of Testing in Cloud Computing Environment Save