Faculty Profile
Home | PROF. (DR.) RASHMI MURGENDRA ASHTAGI

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PROF. (DR.) RASHMI MURGENDRA ASHTAGI

Designation:

Assistant Professor

Department:

Computer Engineering

Email :

rashmi.ashtagi@vit.edu

Phone :

9960994725

Educational Qualification :

University Degree Year
Visvesvaraya Technological University Phd 2022
Savitribai Phule Pune University ME 2016
Visvesvaraya Technological University BE 2008


Date of Joining : 31/05/2023


Total Experience : 7 year:4 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Zeal College of Engineering and Research Assistant Professor 18-Dec-2013 26-Aug-2017 3
2 Pune Institute of Computer Technnology Assistant Professor 28-Aug-2017 23-Apr-2018 0
3 Navsahyadri Group of Institutes Faculty of Engineering Assistant Professor 20-Aug-2018 21-Sep-2020 2
4 Zeal College of Engineering and Research Assistant Professor 13-Jan-2022 07-Sep-2022 0
5 Infosys Ltd Technology Analyst 27-Oct-2022 31-Mar-2023 0

Professional Contribution :

  1. CS BTech B

  2. CS BTech C

  3. NBA 3 Criteria


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Artificial Intelligence and Generative Models Artificial Intelligence and Generative Models FDP Participated 15-Jan-2024 21-Jan-2024
2 Artificial Intelligence (AI) and Machine Learning (ML) Artificial Intelligence (AI) and Machine Learning (ML) at MCCAI FDP Participated 16-Dec-2023 23-Dec-2023
3 Empowering Industry 4.0: Safeguarding the Revolution with Cybersecurity and Blockchain Empowering Industry 4.0: Safeguarding the Revolution with Cybersecurity and Blockchain FDP Participated 04-Dec-2023 10-Dec-2023
4 Recent Trends in Computing 3.0 Recent Trends in Computing 3.0 FDP Participated 09-Oct-2023 15-Oct-2023

International Journal:

  1. Combined deep learning and machine learning models for the prediction of stages of melanoma ,Journal of Autonomous Intelligence,123
  2. Harnessing Federated Learning for Efficient Analysis of Large-Scale Healthcare Image Datasets in IoT-Enabled Healthcare Systems ,International Journal of Intelligent Systems and Applications in Engineering,124
  3. Design of an AI layer for Real-time Skin Cancer Diagnosis ,Revue d'Intelligence Artificielle,124
  4. Enhancing Plant Leaf Disease Identification with a CNN and DenseNet Hybrid Model ,5th International Conference on Information Management,124
  5. Blockchain-Based Music Streaming Services: A Novel Approach to Transparent Artist Control ,2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS),125
  6. Revolutionizing Early Liver Disease Detection Exploring Machine Learning and Ensemble Models ,International Journal of Intelligent Systems and Applications in Engineering (IJISAE),124
  7. DLMBHCO: design of an augmented bioinspired deep learning-based multidomain body parameter analysis via heterogeneous correlative body organ analysis ,Soft Computing,123
  8. OCA: An intelligent model for improving security breach of biometric based authentication systems ,Journal of Discrete Mathematical Sciences and Cryptography,123
  9. A Novel System for Alzheimer’s Disease Detection from MRI Imaging using Deep Learning ,Traitement du Signal,124
  10. Melanoma Dermoscopic Image Segmentation by Analyzing Color Features using Active Contour Model ,Traitement du Signal,125
  11. Enhancing Melanoma Skin Cancer Diagnosis Through Transfer Learning: An EfficientNetB0 Approach ,ATAIML,124

International Conference:

  1. Exploring Machine Learning's Role in Intrusion Detection Systems for Network Security ,6 th IEEE INTERNATIONAL CONFERENCE on “Emerging Smart Computing ,124
  2. Empowering Solar-based Energy Trading with Blockchain ,Hinweis Conference in 2024,123
  3. Detection of Stage of Cancer Using Machine Learning and Deep Learning ,5th International Conference on Advances in Information Communication Technology ,124
  4. Music Mood Prediction and Playlist Recommendation based on Facial Expressions ,5th International Conference on Information Management ,124
  5. Traceability Of Counterfeit Product Detection In Supply Chain Through Blockchain , Hinweis Second International Conference on Advanced Research in Engineering and Technology,124
  6. Real-Time Drowsiness Detection System using Facial Landmarks and Eye Blink Analysis ,5th International Conference on Information Management ,124
  7. Face Recognition-Based Attendance System ,International Conference on Advances in Information Communication Technology & Computing,124
  8. A Comparative Study of Machine Learning Models for Stock Price Prediction ,2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024 - Proceedings,124
  9. Enhancing Doodling Experience Using Generative Adversarial Networks ,2024 Global Conference on Communications and Information Technologies (GCCIT),125
  10. MediAI: An AI Based Guide for Medical Content Authenticity Analysis ,2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA),125
  11. Sentiment Analysis on YouTube Comments using Long Short-Term Memory (LSTM) Networks ,2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI),125

Book Chapter:

  1. An Explainable Deep Learning Model for Clinical Decision Support in Healthcare ,WSN and IoT,124
  2. A smart accident detection, prevention and reporting system using arduino ,Artificial Intelligence and Information Technologies,124
  3. A prototype for a blind navigation system based on GPS voice alert system using ultrasonic sensor ,Artificial Intelligence and Information Technologies,124
  4. Leveraging generative adversarial networks for cross-modal image processing ,Artificial Intelligence and Information Technologies,124
  5. Enhancing image quality using deep learning techniques ,Artificial Intelligence and Information Technologies,124
  6. Enhancing medical image segmentation using deep learning techniques ,9781032700502,124


  1. Researcher of the year

Patents :

  1. Optimized Image Compression through Reinforcement Learning-Based Algorithms
  2. A Guardian Band



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