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Home | PROF. (DR.) DEEPAK TATYASAHEB MANE

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PROF. (DR.) DEEPAK TATYASAHEB MANE

Designation:

Associate Professor

Department:

Computer Engineering

Email :

deepak.mane@vit.edu

Phone :

9763722242

Educational Qualification :

University Degree Year
Swami Ramanand Teerth Marathwada University Phd 2019
Bharati Vidyapeeth University ME 2011
Dr. Babasaheb Ambedkar Marathwada University BE 2004


Date of Joining : 23/01/2023


Experience : 18 year:6 month


Area of Specialization :

  • Supervised Clustering
  • Deep Learning

  • Experience :

    Sr. No Organisation Designation From Date To Date Years of Experience
    1 JSPM's RSCOE Assistant Professor 01-Jul-2005 19-Sep-2014 9
    2 PICT Assistant Professor 20-Sep-2014 09-Aug-2019 4
    3 JSPM's RSCOE Associate Professor 10-Aug-2019 23-Jan-2023 3
    4 Vishwakarma Institute of Technology Associate Professor 24-Jan-2023 - 1

    Research of Interest :

    1. Pattern Classification

    2. Deep Learning

    3. Supervised Clustering


    Technical Skills :

    1. Database management System

    2. Principles of Programming Languages

    3. Deep Learning

    4. Machine Learning

    5. Data Analytics


    Professional Contribution :

    1. Exam

    2. BTech A , B Division

    3. Member, Board of Studies , Computer Engineering Department


    Invited Talks :

    Sr. No Name Description Type Role From Date To Date
    1 On week FDP on Deep Learning Application Development, Tools and Research Deep Learning Application Development,Tools and Research FDP Participated 28-Feb-2023 04-Mar-2023
    2 Two week AICTE Training And Learning (ATAL) Academy Blended/Hybrid FDP on "IoT based Predictive Analytics using Artificial Intelligence" Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques and machine learning. Companies employ predictive analytics to find patterns in this data to identify risks and opportunities FDP Participated 13-Feb-2023 28-Feb-2023

    International Journal:

    1. A Research Survey on Real-Time Intelligent Traffic System ,International Journal of Emerging Technology and Advanced Engineering,123
    2. Smart Digital E-portal for Indian Farmers ,7th International Conference on Inventive Communication and Computational Technologies (ICICCT - 2023),123
    3. An Enhanced Fuzzy Hypersphere Neural Network for Pattern Classification ,International Journal of Engineering Trends and Technology,123
    4. Region-based Network for Yoga Pose Estimation with Discriminative Fine-Tuning Optimization ,International Journal of Intelligent Systems and Applications in Engineering,123
    5. IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction ,International Journal of Intelligent Systems and Applications in Engineering,123
    6. An Extensive Comparative Analysis on Different Maze Generation Algorithms ,International Journal of Intelligent Systems and Applications in Engineering,123
    7. Exercise Movement Detection Using Spearman Correlation-based Sliding Window Technique ,International Journal of Intelligent Systems and Applications in Engineering,123
    8. Basil plant leaf disease detection using amalgam based deep learning models ,Journal of Autonomous Intelligence,123
    9. Real-Time Driver Sentiment Analysis Using Hybrid Deep Learning Algorithm ,International Journal of Intelligent Systems and Applications in Engineering,123
    10. QoS-Aware Routing and Resource Allocation Techniques for Enhanced Network Performance ,Journal of Electrical Systems,124
    11. Diabetic Retinopathy Detection using Deep Learning ,Journal of Electrical Systems,124
    12. Applied Nonlinear Analysis for Efficient Communication Signal Processing and Network Management ,Communications on Applied Nonlinear Analysis,123
    13. Analysis of Voice to Predict the Physical Attributes of an Individual by Using the Face Reconstruction Approach ,International Journal of Intelligent Systems and Applications in Engineering,124
    14. Machine Learning-Based Automatic Tag Generation Using CNN Algorithm ,The Ciência and Engenharia - Science and Engineering journal,123
    15. Machine Learning Methodologies for Clustering Gene Expression Data in Cancer ,Ciência ,123
    16. Smart Garbage Monitoring System using Adaptable Convolutional Neural Network ,Indian Journal of Technical Education,123

    International Conference:

    1. Basil Leaf Disease Detectionand Classification using Customized Convolutional Neural Network ,Springer - Lecture Notes in Networks and Systems,123
    2. Anomaly Detection from Video Surveillances Using Adaptive Convolutional Neural Network ,Springer-Book series Smart Innovation, Systems and Technologies,123
    3. Detection of Malignant Melanoma Using Hybrid Algorithm , 4th International Conference on Machine Intelligence and Signal Processing (MISP2022) ,123
    4. Basil Leaf Disease Detection and Classification Using Customized Convolutional Neural Network ,Lecture Notes in Networks and Systems,123
    5. CNN-Based Medical Image Restoration Using Customized Adaptive Histogram Equalization ,Lecture Notes in Networks and Systems,124
    6. Automatic Text Document Classification by Using Semantic Analysis and Lion Optimization Algorithm ,Lecture Notes in Electrical Engineering,124

    Book:

    1. Data Science for Civil Engineering A Beginner's Guide ,CRC Press Taylor Francis Group ,123

    Book Chapter:

    1. Introduction-Data Science for Civil Engineering ,CRC Press Taylor and Francis Group,123


    1. Young Researcher Award

    Research Grant / Funded Projects :

    1. Precision Farming: Integrating Drone Technology, Location Data, Actuators, and AI for Sustainable Agriculture

    Patents :

    1. Hybrid UAV Using Solar Technology To Extend Flight Time For Survellience
    2. DEEP HYBRID MODEL FOR ATTACK DETECTION IN INTERNET OFTHINGS (IOT)-FOG ARCHITECTURE WITH IMPROVED FEATURE SETAND OPTIMAL TRAINING
    3. A SOLAR POWERED HYBRID UNMANNED AERIAL VEHICLE FOR EXTENDED SURVEILLANCE FLIGHT TIME



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