Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | PROF. (DR.) DEEPAK TATYASAHEB MANE

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PROF. (DR.) DEEPAK TATYASAHEB MANE

Designation:

Professor

Department:

Computer Engineering

Email :

deepak.mane@vit.edu

Phone :

9763722242

     



Personal

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


Total Experience : 19 year:7 month


Area of Specialization :

  • Supervised Clustering
  • Deep Learning


    • Professional Members :

  • ISTE

    • 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 - 2

    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

    4. Vishwakarandak 2024 , Departmental Faculty Representative

    5. Computer Engineering Department-Assistant Head Admin

    6. Internal NAAC Mock Auditor (15th May 2024)

    7. Passing Out Ceremony -Committee Coordinator

    8. Computer Engg. Department Assistant Head Admin

    9. Computer Engg. Departmental in charge for faculty recruitment process 2024-25


    Invited Talks :

    Sr. No Name Description Type Role From Date To Date
    1 One week FDP on "Cognitive Computing for Smart Applications One week FDP on "Cognitive Computing for Smart Applications", organized by Dept. of AI FDP Participated 18-Mar-2024 22-Mar-2024
    2 Eminent Speaker at Research Scholar Day The primary objective of Research Scholar Day is to inspire and guide our scholars towards impactful ul contributions and and innovati on. By assembling distinguished speakers like yourself, we endeavor to provide invaluable insights that willresonate with our diverse audience, comprising students from various schools and the esteemed University of Pune. Other Given Industry lecture 24-Feb-2024 24-Feb-2024
    3 Industrial Visit to Centre for Development of Advanced Computing, Innovation Park During the industrial visit to BRAF Facility , Innovation Park CDAC, students were provided comprehensive insights intosupercomputers, particularly the Param model, and their pivotal role in various domains, includingdrug generation pipelines Industry Training Organized Industry visit 23-Feb-2024 23-Feb-2024
    4 Expert Session on “Paper Writing & Journal Selection” Session provided students with valuable insights into key aspects of research projects, covering project topic selection, patents, journal choices, dataset selection, and research paper writing. Seminar Given Industry lecture 19-Jan-2024 19-Jan-2024
    5 Artificial Intelligence and Generative Models This FDP focused on various generative models and their applications. Participants will learn concepts of Recent trends in AI and Generative models. FDP Participated 15-Jan-2024 19-Jan-2024
    6 Sesssion Chair at SmartCon24 Session Chait in International Conference on Smart Trends in Computing and Communications- SmartCom 2024, Pune- India Other Participated 12-Jan-2024 12-Jan-2024
    7 Orientation Program On Ar &Vr An expert session held on AR VR was held recently featuring speakers from CDAC (Center of Department of Advanced Computing), which is a Research and Development organization involved in the design, development, and deployment of advanced electronic and Information Technology (IT) based solutions under Government of India. The session was centered around AR and VR and its applications in real life. The speaker gave us a tour of the website “future skill prime. in” and showed us the courses available on it. One of the courses that were shown was “AR VR Game Development using Unity”. Most of the students registered for this certificate course immediately. The speakers were really helpful and talked the students through every step of the way. Seminar Coordinator 09-Jan-2024 09-Jan-2024
    8 Chief Guest and Resource Person for ATAL FDP on Recent Trends and Applications in Artificial Intelligence and Deep Learning ATAL FDP on"Recent Trends and Applications in Artificial Intelligence and Deep Learning" from18 December 2023 to 23 December 2023, WIT Solapur. FDP Given Industry lecture 18-Dec-2023 18-Dec-2023
    9 Expert Session on Article Discussion (paper Writing)and Reflection The Faculty Development Program (FDP) on "Empowering Industry 4.0: Safeguarding the Revolution with Cyber security and Blockchain" was held at Vishwakarma Institute of Technology, Pune, from 4th to 9th December 2023. Seminar Given Industry lecture 09-Dec-2023 09-Dec-2023
    10 Empowering Industry 4.0: Safeguarding the Revolution with Cybersecurity and Blockchain AICTE Training And Learning (ATAL) Academy Faculty DevelopmentProgram on Empowering Industry 4.0: Safeguarding the Revolution with Cybersecurity and Blockchain from 04/12/2023 to 09/12/2023. The Aim of this Program is to Foster Collaboration among Practitioners, Researchers, and Industry Experts for Advancements in Cybersecurity and Blockchain Technologies. Emphasizing both Theoretical Progress and Practical Implementation." FDP Participated 04-Dec-2023 09-Dec-2023
    11 Industrial Visit to Centre for Development of Advanced Computing, Pune The visit intended to let the students know about the indigenous Super Computers of India, Param Sidhhi AI, Param BioInferno, and Param Rudra at C-DAC Pune, along with some insights into the Augmented Reality and Virtual Reality (AR and VR) industry, provided by experts at C-DAC Industry Training Organized Industry visit 25-Sep-2023 25-Sep-2023
    12 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
    13 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. Deep hybrid model for attack detection in IoT-fog architecture with improved feature set and optimal training ,Web Intelligence,124
    15. Attack Detection and Mitigation in IoT-Fog Architecture: Handling Class Imbalance Problem ,International Journal of Intelligent Systems and Applications in Engineering,123
    16. Efficient Frontier Rules for Secure NFC Payments and Data Transmission ,Journal of Electrical Systems,124
    17. A Metaphor Analysis on Vehicle License Plate Detection using Yolo-NAS and Yolov8 ,Journal of Electrical Systems,124
    18. Efficient Training of Colorectal Cancer Diagnosis Model through Unsupervised Learning Composite Network ,Journal of Electrical Systems,124
    19. Unlocking Machine Learning Model Decisions: A Comparative Analysis of LIME and SHAP for Enhanced Interpretability ,Journal of Electrical Systems,124
    20. Machine Learning-Based Automatic Tag Generation Using CNN Algorithm ,The Ciência and Engenharia - Science and Engineering journal,123
    21. Machine Learning Methodologies for Clustering Gene Expression Data in Cancer ,Ciência ,123
    22. 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
    7. Sentiment Analysis of Marathi Texts using Deep Learning Models ,4thInternational Conference onEmerging Trends and Technologies on Intelligent Systems(ETTIS-2024),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
    2. Designing an Integrated IoT-WSN Framework for Smart City Applications ,WSN and IoT An Integrated Approach for Smart Applications,124


    1. Young Researcher Award
    2. Best Paper Award
    3. Researcher of the Year 2024

    Research Grant / Funded Projects :

    1. Precision Farming: Integrating Drone Technology, Location Data, Actuators, and AI for Sustainable Agriculture
    2. Revolutionary Dermatology: A Deep Learning Paradigm for Accurate Skin Cancer Diagnosis

    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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