Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

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Home | MR. AOUDUMBER DATTATRAY LONDHE

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MR. AOUDUMBER DATTATRAY LONDHE

Designation:

Assistant Professor

Department:

Artificial intelligence and Data science

Email :

aoudumber.londhe@vit.edu

Phone :

9545553661

 



Personal

Educational Qualification :

University Degree Year
Savitribai Phule Pune University Phd 2024
Savitribai Phule Pune University ME 2015
Shivaji University BE 2007


Date of Joining : 02/12/2024


Total Experience : 16 year:2 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 College of Engineering Pandharpur Lecturer 10-Jul-2007 31-May-2011 3
2 Universal College of Engineering and Research Pune Lecturer 11-Jul-2011 31-May-2015 3
3 Smt Kashibai Navale College of Engineering Pune Assistant Professor 01-Jun-2016 03-Dec-2024 8

Professional Contribution :

  1. SCCG Career Counseling Activity

  2. Academic Monitoring

  3. Lab Incharge

  4. Class Teacher

  5. Admission – ACAP Round/s

  6. Vishwa Anubhuti

  7. Scrutiny Centre (SC) for First Year Engineering / Direct Second Year Engineering (DSE)

  8. Passing Out Ceremony


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 EMPOWERING INNOVATION: MASTERING MACHINE LEARNING, DEEP LEARNING, AND GENERATIVE AI" EMPOWERING INNOVATION: MASTERING MACHINE LEARNING, DEEP LEARNING, AND GENERATIVE AI" FDP Participated 21-Apr-2025 25-Apr-2025
2 NEP ORIENTATION AND SENSITIZATION PROGRAMME NEP ORIENTATION AND SENSITIZATION PROGRAMME FDP Coordinator 21-Apr-2025 30-May-2025
3 Next Gen AI Skills: A Practical Approach for Educators Next Gen AI Skills: A Practical Approach for Educators FDP Participated 24-Mar-2025 28-Mar-2025
4 Academia-Idustry Synergy:Leveraging Expertise for Mutual Growth Academia-Idustry Synergy:Leveraging Expertise for Mutual Growth FDP Participated 20-Jan-2025 24-Jan-2025

International Conference:

  1. Exploring Hybrid Deep Learning Models for Water Quality Forecasting: A Comprehensive Review of Methods and Challenges ,6th Congress on Intelligent Systems (CIS 2025),126
  2. A Systematic Review of Denial-of-Service Attack Resilience in IEEE 802.11 Network ,International Conference on ICT for Sustainable Development,125
  3. Deep Learning-Enabled Precision Agriculture Emerging Approaches for Plant Disease Detection from CNNs to Hybrid and Transformer Models ,International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology,126

International Journal:

  1. Fuzzy and Encryption based mutual and multi-level authentication scheme for DOS attack mitigation in IoT ,9th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2024),124
  2. A Systematic Review of Denial-of-Service Attack Resilience in IEEE 802.11 Networks ,ICT4SD Conference 10th International Conference on ICT for Sustainable Development,125


Research Grant / Funded Projects :

  1. Smart Document Segregator for Legal Documents
  2. AI-Based Job Role Preparation & Mock Interview System
  3. An AI-driven smart irrigation decision-support platform that delivers real-time, crop-specific irrigation schedules using soil moisture sensing, weather analytics, and machine learning.

Copyrights :

  1. Denial-of-Service Attack Resistance In IEEE 802.11i With Puzzle Approach
  2. IoT-Enabled Distributed Deep Learning for Improved Aquatic Status Prediction through Optimization
  3. AI-Powered Disease Prognosis: Integrating Machine Learning and Deep Learning Models

Patents :

  1. ADAPTIVE AI MODEL OPTIMIZATION USING CONTEXT-AWARE LEARNING FOR ENHANCED DECISION-MAKING
  2. Artificial Intelligence-Driven Engine Performance Optimization Through Compression Ratio Calculation
  3. EVALUATING THE EFFECTIVENESS OF MULTI FACTOR AUTHENTICATION ONLINE PROTECTING SENSITIVE DATA
  4. AI-Powered Meta Tag Optimization System for Enhanced Search Engine Visibility
  5. IMPLEMENTING SECURE DATA SHARING PROTOCOLS IN COLLABORATIVE ENVIRONMENT
  6. NEURAL NETWORK TRAINING AND DEPLOYMENT TOOL
  7. ENHANCING ENERGY FORECASTING IN COMBINED CYCLE POWER PLANTS USING A HYBRID CONVLSTM AND FC NEURAL NETWORK MODEL
  8. PREDICTING SUICIDE ATTEMPTS IN ADOLESCENCE OR YOUNG ADULTHOOD: AN EARLY LIFE FACTORS ASSESSMENT USING TRIBRANCH CNN
  9. DEVELOPING A SPAM EMAIL DETECTION SYSTEM USING MACHINE LEARNING
  10. Method and System for Optimizing 5G Network Performance using Artificial Intelligence and Machine Learning in Indian Telecom Sector
  11. SCALABLE IOT SYSTEM FOR INDUSTRIAL AUTOMATION
  12. Machine Learning based statistical inference system for predicting extreme weather events
  13. Artificial Intelligence-Driven Engine Performance Optimization Through Compression Ratio
  14. AN AGRICULTURE HEALTH MONITORING AND ADVISORY DEVICE



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