Faculty Profile
Home | Dr.(Mrs.) DEEPALI JAYANT JOSHI

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Dr.(Mrs.) DEEPALI JAYANT JOSHI

Designation:

Assistant Professor

Department:

Department of Information Technology

Email :

deepali.joshi@vit.edu

Phone :

9923009356

Educational Qualification :

University Degree Year
Savitribai Phule Pune University Phd 2024
Savitribai Phule Pune University Phd 2024
Bharati Vidyapeeth University ME 2011
Dr. Babasaheb Ambedkar Marathwada University BE 2002


Date of Joining : 15/05/2008


Total Experience : 21 year:5 month


Area of Specialization :

  • Machine_Learning
  • Data_Mining
  • Software Engineering

  • Experience :

    Sr. No Organisation Designation From Date To Date Years of Experience
    1 Marathwada Institute of TechnologyAurangabad Lecturer 06-Aug-2002 10-Aug-2003 1
    2 tata honeywell software engg 05-Feb-2004 10-Dec-2004 0
    3 vidyapratishthan college of engineering lecturer 07-Jul-2005 14-Apr-2008 2
    4 Vishwakarma Institute of Technology, Pune, India assistant Professor 15-May-2008 - 16

    Research of Interest :

    1. Reading

    2. Travelling


    Technical Skills :

    1. Machine_Learning

    2. Data_Mining

    3. DeepLearning

    4. SoftwareDesignandArchitecture

    5. SoftwareEngineernig


    Professional Contribution :

    1. B.Tech

    2. Internship and Placement

    3. IAB

    4. submitted research proposal

    5. NBA criteria co-ordinator

    6. Class Teacher of B.TEch

    7. FDP committtee member

    8. Industry Relation Officer

    9. VOIS Programme co-ordinator(Vodafone activities co-ordinator)

    10. NAAC criteria co-coordinator

    11. Industry Relation Officer

    12. NAAC co-ordinator

    13. Vodafone Co-ordinator


    Invited Talks :

    Sr. No Name Description Type Role From Date To Date
    1 AI and Generative Models FDP on AI and Generative Models FDP Coordinator 15-Jan-2024 19-Jan-2024
    2 Artificial Intelligence and Generative Models" Artificial Intelligence and Generative Models" FDP Participated 15-Jan-2024 19-Jan-2024
    3 Evolution of Embedded System in Artificial Intelligence of Things: ES-AIOT" FDP on Evolution of Embedded System in Artificial Intelligence of Things: ES-AIOT" FDP Coordinator 09-Oct-2023 14-Oct-2023
    4 Data science for business data science for business FDP Participated 04-Sep-2023 08-Sep-2023
    5 EDUCATION 4.0 IN HIGHER EDUCATION EDUCATION 4.0 IN HIGHEREDUCATION FDP Participated 31-Jul-2023 04-Aug-2023

    International Journal:

    1. Tracing prodromal behaviour by analysing data patterns from social media with ensemble machine learning approach ,International social science journal,122

    International Conference:

    1. Face Mask Detection Using Optimized CNN ,2021 International Conference on Artificial Intelligence and Machine Vision (AIMV),122
    2. An Examination Application For Blind Students With Subjective Answer Evaluator ,2021 International Conference on Artificial Intelligence and Machine Vision (AIMV),122
    3. Real Time Emotion Analysis (RTEA) ,International Conference on Artificial Intelligence and Machine Vision (AIMV), ,122
    4. Face Recognition Based Attendance System ,5th Biennial International Conference on Nascent Technologies in Engineering,123
    5. KIDNEY DISEASE PREDICTION USING DIFFERENT CLASSIFICATIONTECHNIQUES ,AIP Conf. Proc. 2981, 020016 (2023),123
    6. Depression Prediction Using Medical Record And Response Analysis , International Conference on Advances in Data Science and Computing Technologies (ADSC-2022),122
    7. Deploying Mental Health Analysis of social media user ,International Conference on Advances in Data Science and Computing Technologies (ADSC-2022),122
    8. Anime Face Generation using DC-GANs ,AIP Conf. Proc. 2981, 020028 (2023),123
    9. Ava: A Photorealistic AI Bot for Human-Like Interaction and Extended Reality ,International Conference on Communication Systems, Computing and IT Applications 2023,123
    10. song recommendation based on users activity using ensemble learning , ITM Web of Conferences 56, 05014 (2023),123
    11. Smart Contract Vulnerability detection using Natural Language Processing ,2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET),124
    12. Analyzing tweets to detect mental illness using BERT ,INTERNATIONAL JOINT CONFERENCE ON COMPUTING SCIENCES (ICCS-2023),123
    13. Sleep Staging Classification using EEG Signals ,ICCET ,123
    14. Prediction of Employee Retention ,ICFTIT,123
    15. Fall Detection Using Pose Estimation models And Smart Alarming System ,AIP Conference Proceedings,123
    16. LearnEasy: A Learning Platform for Autistic Children ,MACHINE LEARNING AND INFORMATION PROCESSING: PROCEEDINGS OF ICMLIP 2023,123
    17. kidney disease and PCOS prediction , KILBY100 ICCS 2023.,123
    18. Kidney disease prediction using different classificationtechniques of machine learning ,MACHINE LEARNING AND INFORMATION PROCESSING: PROCEEDINGS OF ICMLIP 2023,123
    19. Text Data Augmentation ,2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT),124
    20. DementAid: A Comprehensive Web Application for Dementia's Support and Memory Enhancement ,2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA),123
    21. Uncovering Sentiment Changes Throughout the UBS Takeover: A Sentiment Analysis ,2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE),124
    22. DisasterSense Ensemble: Synergistic Detection and Journalism for Safer Communities ,International Conference on Intelligent Computing and Communication Techniques at JNU New Delhi, India.,124
    23. “Enhancing Retail Engagement Through Generative AI-Powered Personalization ,e International Conference on Data Intelligence ,124
    24. Analysis of Different Text Features Using NLP ,IJRASET,123

    National Journal:

    1. yoga and excercise model with chatbot ,IJARESM Publication,124

    Book Chapter:

    1. Automatic Speech Recognition Using Acoustic Modelling ,Advances in Data Science and Computing Technologies,123
    2. Big Data in IoT for Healthcare Application , Applied Artificial Intelligence,123
    3. Revealing Advanced Brain Tumour Detection: An In-Depth Study Leveraging Grad CAM Interpretability ,International Joint Conference on Advances in Computational Intelligence,124


    Research Grant / Funded Projects :

    1. "Analysis of Cyber Bullying on Children/Adolescent Mental health using Machine learning and bringing GenAI for rescue."

    Patents :

    1. HEART DISEASE DIAGNOSIS AND DIET RECOMMENDATION SYSTEMUSING AYURVEDIC DOSHA ANALYSIS
    2. A MULTICHAIN BLOCKCHAIN WALLET FOR SEAMLESS ASSET MANAGEMENT



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