Mrs. Santushti Santosh Betgeri

Bio

Mrs. Santushti Santosh Betgeri is a passionate and dedicated educator with over 15 years of teaching experience in Computer Engineering and related disciplines. She believes in fostering a student-centric learning environment that encourages critical thinking, innovation and lifelong learning. Her teaching is complemented by active research in Artificial Intelligence, Machine Learning, Data Science and Database Management Systems, along with publications, patents and industry-sponsored projects. As a mentor and academic coordinator, Mrs. Betgeri strives to bridge the gap between academia and industry while contributing to MIT-WPU’s vision of excellence, innovation, interdisciplinary learning and societal impact through quality education and research.

Educational Qualifications: Ph. D Pursuing from Marwadi University, Rajkot

Areas of Expertise: AI/ML, Data Science, IOT, Java

Teaching Experience: 15 years

Publications and Research Work:

1. Enhancing Seizure Detection with Hybrid XGBoost and Recurrent Neural Networks, Neuroscience Informatics, Elsevier, 2025.

2. Artificial Intelligence for Epileptic Seizure Detection and Prediction: A Review of EEG-Based Machine Learning and Deep Learning, International Journal of Computational Science and Information Management (IJCISIM), 2026.

3. Enhancing Mental Health Support through Chatbot, Grenze International Journal, 2025.

4. A Consolidated Study on Transformation of Traditional Data to Big Data, International Journal of Advanced Networking and Applications (Special Issue – ASCIS 2023)

International Conference Publications

1. Design and Performance Evaluation of a Wi-Fi Energy Harvester for Energizing Low Power Devices, IEEE Region 10 Conference (TENCON), 2021.

2. Utilizing TFLite and Machine Learning for the Early Detection of Mango Leaf Disease: An Automated Flutter Application, IEEE International Conference, 2024.

3. Malicious URL Detection Using Machine Learning, Springer International Conference, 2024.

4. Machine Learning Classifiers and Hyperparameter Tuning to Enhance Prediction of ASD: An Automated Django Application, IEEE World Conference, 2024.

5. ConvEEGNet Approach for Improving Seizure Detection Through EEG Artifact Removal, IEEE World Conference, 2024.

6. Enhancing Fake News Detection: A Hybrid Approach with LSTM and Convolutional Neural Networks, Springer International Conference, 2024.

7. Toward Seamless White Boarding: Integrating Machine Learning Techniques with Air Canvas for Enhanced User Experience, Springer International Conference, 2024.

8. Sentiment and Tone Analysis of Reddit Posts Using Python, IEEE International Conference (ICSADL), 2025.

9. AlertCam – An Effective Anomaly Detection System Using Computer Vision, IEEE International Conference, 2025.

10. Automating SQL Databases Using Artificial Intelligence and Natural Language Processing, IEEE International Conference, 2025.

11. AutoHub: Integrated Vehicle Washing and Expense Management with AI and Blockchain, Springer International Conference on ICT, 2025.

12. Enhancing Privacy in EEG-Based Deep Learning Models Using Differential Privacy Layers, Springer International Conference, 2026.

International Book Chapters

1. Strategies for Mitigating Security Concerns in IoT-enabled Smart Cities, IGI Global, 2024.

2. Smart Hospitals and Healthcare Facilities for CPS, Springer, 2024.

3. Enhancing Music Recommendation Systems: A Hybrid CNN-LSTM Approach for Personalized and Precise Recommendations, Springer, 2024.

4. Advancement and Challenges in Rehabilitation Robotics: Insights from Case Studies, Springer, 2025.

5. AutoHub: Integrated Vehicle Washing and Expense Management with AI, Springer, 2025.

6. Dermascopic and Non-Dermascopic Image Classification Using Deep Learning, Taylor & Francis, 2025.

7. Predicting Heart Disease Using Machine Learning: A Comparison of Classification Models, Taylor & Francis, 2025.

8. Machine Learning Algorithms for Analyzing Medical Images and CT Scans, Springer, 2025.

9. Enhancing Fake News Detection: A Hybrid Approach with LSTM, Springer, 2025.

10. Privacy Preservation in Federated Learning-Based Recommendation System, Springer, 2025.

Patents

1. Vehicle Protection System.

2. Vehicle Safety System with EEG Monitoring Method for Seizure Detection and Prediction Utilizing EEG Data.

3. Proactive Seizure Prediction and Alerting System with Privacy-Preserving Data Analysis.

4. Smart Tap Water Leakage Controller System.

5. Pupil Tracking Wheelchair Interface for Quadriplegics.

6. Braille-Infused Reading Assistive Device for Visually Impaired Users.

7. Plant Disease Management Device.

Professional Affiliations: Life Member, Indian Society for Technical Education (ISTE).

Subjects Taught: MPJ, Data Structure, Database Management System, Microprocessor and Microcontroller

Research Profiles and Links:

Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=59075023100

Google Scholar: santushti betgeri - Google Scholar

ORCID: 0009-0007-5494-6562

LinkedIn : https://www.linkedin.com/in/santushti-betgeri-35bb87ba/