Faculty Profile
Home | DR. NITIN NANDKUMAR SAKHARE

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DR. NITIN NANDKUMAR SAKHARE

Designation:

Assistant Professor

Department:

Computer Engineering

Email :

nitin.sakhare@vit.edu

Phone :

8657258947

Educational Qualification :

University Degree Year
Savitribai Phule Pune University (SPPU) ME 2026
KLE University Phd 2026


Date of Joining : 01/05/2016


Total Experience : 10 year:1 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 VIT 02-May-2016 - 10

Professional Contribution :

  1. Chief International Relations Officer


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 EAIE Sweden Other Participated 06-Sep-2025 13-Sep-2025

Book:

  1. A Critical Transformation of Trend Deterministic Technical Indicators for the Short Term Prediction of Stock Market Trading Strategies ,Sustainable Global Societies Initiative,126
  2. Artificial Intelligence ,Nirali Publications,125
  3. COMPUTER ARCHITECTURE AND ORGANIZATION ,Nirali Publications,126
  4. Data Science_Nirali ,Nirali Publications,125
  5. DATA STRUCTURES ,Nirali Publications,125
  6. DIGITAL ELECTRONICS AND LOGIC DESIGN ,Nirali,125
  7. EQUIITY STOCK MARKET ,Nirali Publications,126
  8. Financial Management ,Nirali Publications,126
  9. Industrial Organization Management ,Nirali Publication,126
  10. Internet of Things ,Nirali Publications,126
  11. PATENTS AND INTELLECTUAL PROPERTY RIGHT (IPR) ,Nirali Publications,126
  12. PROMPT ENGINEERING ,Nirali Publications,125
  13. Python Programming ,Nirali Publications,126

Book Chapter:

  1. Revolutionary Impact of 5G on the Advancement of Technology in Healthcare ,null,125
  2. The convergence of blockchain, IoT, and machine learning Transforming future technologies ,null,125

International Conference:

  1. Intrusion Detection and Prevention Based on Ensemble Machine Learning and Blockchain Mechanism ,IEEE International Conference on Networks & Advances in Computational Technologies (NetACT),125
  2. Adaptive Intrusion Detection Systems Powered by AI: Deep Neural Networks Based Models ,Evolution in Computational Intelligence,125

International Journal:

  1. Lung image segmentation for automated tuberculosis disease detection through improved medical systems ,Research on Biomedical Engineering,126

National Journal:

  1. Technical Analysis-Driven Stock Market Prediction Using a Novel History Bits Machine Learning Approach ,SGS-Engineering & Sciences,125
  2. Critical Analysis of History Bits Algorithm with Attribute Ranking Strategies for Stock Market Prediction Accuracy Evaluation ,Sustainable Global Societies Initiative,126


  1. Cisco Instructor Leadership

Research Grant / Funded Projects :

  1. Krishinova
  2. LexiSureAI: An AI powered Risk Analysis System
  3. LearnIQ: An integrated Learning Management System
  4. Smart Resume Analyzer
  5. Machine Learning Based Prediction for Vector Borne Diseases
  6. ChurnPredict Pro: Real-Time Telecom Retention System
  7. Machine Learning Based Real Time Phishing Detection
  8. CyberShield Guardian - an AI-Driven Unified Cybersecurity Monitoring and Risk Analysis Framework
  9. Analysis of Antimalware Solutions of preventing Trojan Horse Malware
  10. PII Leak Guardian: A MATLAB-Integrated Gateway-Based Approach for Detecting and Preventing Sensitive Data Exposure in Web Applications
  11. Intelligent Trojan Horse Malware Detection Using Hybrid Antimalware Techniques and Machine Learning-Based Behavioural Analysis
  12. MATLAB-Enabled Spatial-Temporal Deep Learning for Context-Aware Crop and Fertilizer Recommendation Using Nutrient Deficit Modeling

Patents :

  1. A SMART HOME AUTOMATION SYSTEM WITH REAL-TIME PRESENCE DETECTION
  2. IoT - Enabled Smart Solar Street Lighting System

Consultancy :

  1. Cisco CCNA



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