Faculty Profile
Home | MR. RAJESH PASHIKANTI

Image

MR. RAJESH PASHIKANTI

Designation:

Assistant Professor

Department:

Instrumentation Engineering

Email :

rajesh.pashikanti1@vit.edu

Phone :

8806398432

Educational Qualification :

University Degree Year
Savitribai Phule Pune University (SPPU) Phd 2025
Jawaharlal Nehru Technological University Mtech 2011
Jawaharlal Nehru Technological University BTech 2009


Date of Joining : 19/08/2025


Total Experience : 14 year:10 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 MBES COEA ASSISTANT PROFESSOR 21-Jun-2011 21-Jun-2021 10
2 COEP RESEARCH SCHOLAR 02-Jul-2021 17-Aug-2025 4
3 Vishwakarma Institute of Technology Assistant Professor 18-Aug-2025 - 0

Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 NPTEL DEEPLEARNING 12 WEEKS FDP Participated 12-Nov-2026 17-Apr-2026
2 NPTEL Introduction to IOT 12 weeks MOOC Participated 13-Dec-2025 24-Apr-2026
3 One-Week Online Faculty Development Programme on Emerging Trends in Technology and Innovation for Digital Transformation Emerging Trends in Technology and Innovation for Digital Transformation FDP Participated 24-Nov-2025 28-Nov-2025
4 One-Week Online Faculty Development Programme on “Recent Trends in Artificial Intelligence and Deep Learning” organized by E&ICT Academy IIT Guwahati Recent Trends in Artificial Intelligence and Deep Learning FDP Participated 10-Nov-2025 14-Nov-2025

International Conference:

  1. AdaAptive predictive control-based noise cancellation with deep learning for arrhythmia classification from ECG signals ,2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET,122
  2. Cardiac Arrhythmia Multiclass Classification using Feature Selection and Optimized FLS-based 3D-CNN ,2022 International Conference on Artificial Intelligence of Things (ICAIoT),123
  3. Ensemble Learning Approaches for Academic Success Prediction ,IEEE PUNECON,125
  4. Decentralized Prediction of Brain Lesion Dynamics Using Federated Deep Learning with Residual Networks (ResNet) ,https://ieeexplore.ieee.org/xpl/conhome/11320457/proceeding,126

International Journal:

  1. Aan Adaptive Marine Predator Optimization Algorithm MPOA integrated Gated Recurrent Neural Network GRNN Classifier Model for Arrhythmia Detection ,Biomedical signal processing and control ,124
  2. Caardiac Arrhythmia Multiclass Classification using Optimized FLS-based 3D-CNN ,journal of intelligent fuzzy systems,123
  3. Fuzzy Split Range Control For Regulation of Continuously Stirred Tank Heater ,International Journal of Advanced Science and Technology,120
  4. Machine Learning–Based Spoilage Risk Prediction System for Cold Chain Monitoring Using Sensor Data and SHI Modelling ,Journal of Engineering and Technology,126
  5. Increased Capacity for Konkan Railways using Clock face scheduling system ,Journal of Electronics and Information Technology,126
  6. An Integrated Arduino-Based Automated Cattle Washing and Feeding System for Precision Livestock Farming Automatic Cattle Washing and Feeding System ,Journal of Engineering and Technology,126
  7. Design and Implementation of a Secure Smart Voting System Using Fingerprint Sensor and Camera Module ,Journal of Technology,126
  8. CuraSCADA: An AI-Based Supervisory Control Architecture for Predictive Healthcare Equipment Management ,Journal of Civil and Environmental Engineering,126
  9. Next-Generation Underground Mine Safety Using IoT, Edge Intelligence, and Multi-Parameter Environmental Sensing ,Journal of Civil and Environmental Engineering,126
  10. Description and Validation of Multi Objection Automated Online/Offline Signature Verification Using Semantic Feature Extraction ,International Journal of Research,118
  11. Novel Fake Fingerprint minutia matching imaging sensors fabrication materials ,International Journal Of Scientific Engineering & Technology Research,115


  1. IEEE Conference Reviewer
  2. International Conference Keynote Speaker
  3. Reviewer Certificate
  4. FDP GRADE A
  5. FDP
  6. NPTEL DEEP LEARNING-IIT ROPAR
  7. NPTEL-IIT KHARAGPUR

Research Grant / Funded Projects :

  1. Diagnosis of Cardiac Diseases Based on ECG Signals Using Intelligent Techniques

Patents :

  1. Method of an Intelligent Bottle for Ensuring the safety of Children
  2. Digital Assistant for arrhythmia classification
  3. IOT-ENABLED SMART PROSTHETICS WITH ADAPTIVE FEEDBACK CONTROL
  4. A PROSTHETIC LIMB SYSTEM
  5. A MEDICAL DEVICE FOR REAL-TIME ACQUISITION AND PROCESSING OF PHYSIOLOGICAL SIGNALS
  6. Hybrid Eight-Limb Spider Robot with Integrated Wheel-Assisted Locomotion for Terrain-Adaptive Mobility
  7. IOTENABLED REALTIME HEALTH MONITORING AND PREDICTIVE ALERT SYSTEM COMBINING EDGE COMPUTING WITH PR
  8. Intelligent wearable neck and waist posture monitoring system with progressive vibration feed back
  9. CONDITION BASED MACHINE HEALTH MONITORING SYSTEM
  10. Optimized crop yield through integrated greenhouse hydroponics a comarative study
  11. Edge-AI Based Predictive Maintenance System for Rotating Machinery
  12. Automatic Object Sorting System Incorporating OptoIsolated Spectral Frequency Sensing and Digital Twin



Copyright © Vishwakarma Institute of Technology,Pune 2026 All rights reserved.

[Best viewed in IE 10+, Firefox, Chrome, Safari, Opera.]

:::| powered by VGESPL |:::