Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | PROF. (Dr.) VAISHALI SHAM RAJPUT

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PROF. (Dr.) VAISHALI SHAM RAJPUT

Designation:

Assistant Professor

Department:

Artificial intelligence and Data science

Email :

vaishali.rajput@vit.edu

Phone :

9822838605

 



Personal

Educational Qualification :

University Degree Year
Symbiosis International University Phd 2024
Savitribai Phule Pune University ME 2009
Savitribai Phule Pune University BE 2001


Date of Joining : 12/12/2021


Total Experience : 20 year:8 month


Professional Members :

  • Society for Data Science

    • Experience :

    Sr. No Organisation Designation From Date To Date Years of Experience
    1 SITS - - 12
    2 PRECLoni Lecturer 01-Jul-2003 30-Jun-2009 5
    3 NA NA 26-May-2022 26-May-2022 0
    4 VITPune Assistant Professor 13-Oct-2022 23-Apr-2022 2

    Professional Contribution :

    1. Class Teacher of FY-H Division(Sem1 and Sem2)

    2. Class Teacher of E Division

    3. Assistant to DEAN IQAC

    4. Time Table Preparation

    5. First-Year Admission Work

    6. DSE Admission Work

    7. Lab Incharge (Internet Lab)

    8. Class Teacher of F dividion

    9. Infosys-Springboard Activity Coordinator

    10. Assistant to Dean IQAC

    11. Assistant Head Research of AIDS

    12. Class Teacher - M division

    13. Infosys Springboard Activity- Single Point of Contact

    14. Class teacher of L division(23-24-Sem I)

    15. NAAC Criteria3 Coordinator of AIDS

    16. RDC Cell Member

    17. R&D Portfolio

    18. Assistant Head Research

    19. ACAP Admission

    20. CAP Admission Duty

    21. NBA Criteria 6

    22. SPOC for Infosys


    Invited Talks :

    Sr. No Name Description Type Role From Date To Date
    1 Empowering Educators: Advancements in Computing Pedagogy” FDP Organized by AIDS Department FDP organizing member 12-Feb-2024 17-Feb-2024
    2 Recent trends in Healthcare This workshop focused on different aspects of healthcare and ML approaches FDP Participated 18-Dec-2023 22-Dec-2023
    3 Research Methodology Completed NPTEL Course with Elite Certificate MOOC Participated 15-Aug-2023 16-Oct-2023
    4 online FDP on Big Data Analytics online FDP on Big Data Analytics FDP Participated 17-Apr-2023 21-Apr-2023

    International Journal:

    1. . Smart Sight for visually impaired people ,High Technology Letters,122
    2. Alcohol Detection and Engine Locking System ,YMER,122
    3. Blood Pressure Estimation Using Emotion Based Optimization Clustering Model ,Acta Informatica Pragensi,123
    4. Blood Pressure Estimation from Speech Recordings: Exploring the Role of Voice-over Artists ,International Journal on Recent and Innovation Trends in Computing and Communication,123
    5. Bio-inspired Algorithms for Feature engineering: Analysis, Applications and Future Research Directions ,Information Discovery and Delivery,125
    6. Cervical Cancer Prediction Using Machine Learning ,Journal of Electrical Systems,124
    7. SafeBite: Food Allergen Detection Application using Flutter ,International Conference on Data Science and Artificial Intelligence (ICDSAI),124
    8. Detection of Brain Tumor Using H-DenseAttentionUNet with MRI Images ,Journal of Electrical Systems,124
    9. SPEECH EMOTION RECOGNITION USING COMBINED TRIPLET AND SINGLE-HEADED ATTENTION-ENABLED INTEGRATED RECURRENT NETWORK ,Biomedical Engineering: Applications, Basis and Communications,124
    10. Real-time Human Action Recognition using Deep Convolutional Neural Networks ,15th International Conference on Computing Communication and Networking Technologies (ICCCNT),124
    11. A Review articel-Bio-inspired Algorithms for Feature engineering: Analysis, Applications and Future Research Directions ,Information Discovery and Delivery,125
    12. Hostel and PG Finder Application ,YMER,122
    13. Nutri-Check-A Food Image Recognition and Calorie Counter Website ,International Journal for Research in Applied Science and Engineering Technology,124
    14. Conyterfeit product detection using blockchain ,YMER,124
    15. Plant Disease Detection Using Machine Learning ,International Journal For Research in Applied Science and Engineering Technology,124
    16. Fact Finding Instructor-based Clustering Technique for BP Estimation using Human Speech Signals ,Computer Methods in Biomechanics and Biomedical Engineering,123
    17. EASE: Emotion Analysis from Speech Ensembles for quantification of Blood Pressure ,International Journal of Education and Management Engineering(IJEME),123

    International Conference:

    1. Tradewise-An innovative AI powered approach to stock market forecasting ,Seventh International Conference on Communication, Devices and. Networking,124
    2. Implementation of Machine Learning Techniques for Automated Video Annotation ,International Conference on Computing and Networking Technology (ICCNT),124
    3. Fundamentals of Data Structures ,Lambert Publication,122

    Book:

    1. A Machine Learning Technique for Estimating Cuffless Blood Pressure, Utilizing Voice Marker ,NA,124


    1. Student Feedback
    2. Paper Publication
    3. Conference Organization
    4. SPoC of the month-Jan 2025

    Research Grant / Funded Projects :

    1. Innovative Voice Marker Approach for Blood Pressure Estimation via Machine Learning
    2. AIDS-Automated Transcript generation/Summarization from Recorded Lectures
    3. A framework for multi sensor data using cognitive fusion and intelligence integration
    4. First Menstrual Cycle Forecast using Machine Learning
    5. "A Saliva-Based Diagnostic Innovation for Early Detection and Management of Anemic Disorders in Women and Children Using Smart Biosensor Technology"

    Patents :

    1. A VIRTUAL ASSISTANT FOR SMART HOME AND AUTOMATION APPLICATIONS
    2. A BLOCKCHAIN ENABLED DECENTRALIZED VOTING SYSTEM
    3. IntelliAds - AI Powered Personalized Advertisement Creator
    4. HUMANITARIAN DRONE FOR DISASTER RELIEF OPERATIONS.
    5. A SPEED SENSING DRIVE ALERT SYSTEM
    6. INTEGRATION OF HAND WRITTEN RECOGNITION AND SUBJECTIVE ANSWER EVALUATION FOR EFFICIENT GRADING SYSTEMS



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