PG Research Centre in Electronics & Telecommunication Engineering Savitribai Phule Pune University, Pune

Approved Research Centre of Savitribai Phule Pune University, Pune has been functioning in the department of Electronics and Computer Engineering of the Institute since 2013. Seven research guides are attached to this particular centre. At present, 23 Research Scholars are pursuing their Ph.D in Electronics & Telecommunication Engineering on various research topics under the broad umbrella of Electronics Engineering. Four candidates have already been awarded Ph.D by SPPU, Pune.  

Research Scholar awarded Ph.D.

Sr. No.

Name of the Research Scholar

Name of the Research Guide

Research Topic

1

Zope Rajendrakumar Govinda

Dr. B.S.Agarkar

Improving the Performance of DS-CDMA System over Multipath Fading Channels

2 Lokhande Devidas Gopa Dr. B.S.Agarkar Cross Entropy Based Soft Hand over of CDMA in Viral Mobile Communication Network
3 Sayyad Muzaffarali Akbar Dr. B.S.Agarkar Development of Vedic Mathematics Based Multiplier Circuit
4 Jondhale Satish Raosaheb Dr. R. S. Deshpande Development of Efficient Target Tracking System using Wireless Sensor Network

Candidates Pursuing Ph.D.

Sr.no

Name of the Research Scholar

Name of the Research Guide

Research Topic

1.          

Kapale Namdeo Dada

Dr. B.S.Agarkar

Multimodal Image Fusion for Biometric Person Identification

2.          

Viraj.R.Sonawane

Dr. B.S.Agarkar

Development of Artificial Neural Network Based System to Detect Lane and Road side Traffic Sign

3.          

Ajita Patil

Dr.B.S.Agarkar

Forensic Face Photo-Sketch Recognition using Advanced Architecture

4.          

Sandip . R. Aher

Dr. B.S.Agarkar

Nuchal Translucency Thickness Measurement in Fetal Ultrasound Images using Deep Learning to analyse Down Syndrome

5.          

S.K.Gupta

Dr.B.S.Agarkar

Design and Implementation of Multiobjective Improved FIR filter using Optimization Algorithms

6.          

Sangita Wamane

Dr.B.S.Agarkar

Development of Novel Algorithms for High Performance Packet classification

7.          

Siddiqui Naseemuddin Yousufuddin

Dr. S.V.Chaudhari

Development of Energy Efficient Routing Algorithms for Wireless Sensor Network Validated by the Mobility of Multiple Sink

8.          

Digambar Rane

Dr. S.V.Chaudhari

Development of an Efficient Energy Prediction for Solar Power Generation Using Artificial Intelligence.

9.          

Archana Mane

Dr. S.V.Chaudhari

AI-Driven Advancements for Enabling IoT in the 6G Era

10.      

Seema Baji

Dr. S.B.Bagal

A novel hybrid learning approach for diagnosis of Cancer using medical image

11.      

Shital Dharrao

Dr. S.B.Bagal

Artificial Intelligence in Agricultural for Pest Detection and Identification

12.      

Sachin Bagul

Dr. S.B.Bagal

Development of  Intelligent System Framework for the Prediction of Heart Disease using Machine Learning Algorithms

13.      

Dipak Raut

Dr. S.B.Bagal

An Advanced Machine Learning Framework for Detection and Classification of Lung Diseases using Medical Imaging

14.      

Neelima Chaudhari

Dr. R.P.Labade

Design and Development of Substrate Integrated Waveguide based Antenna, Array and MIMO for Wireless Communication

15.      

Neeta Bankhele

Dr. R.P.Labade

Thermal Imaging Based Plant Growth Estimation and Yield Prediction using Deep Learning

16.      

Sachin Mandlik

Dr. R.P.Labade

Development of Pose Invariant Gait Recognition System using Deep Dense Network

17.      

Sonali Pulate

Dr. R.P.Labade

Development of Deep Learning -based Approaches for Robust Deformable Object Detection And Segmentation in Images

18.      

Dongare Mahendra Prabhakar

Dr. S.R.Jondhale

Energy Efficient Approach for Routing Protocols in Wireless Sensor Networks

19.      

Vishal Aher

 Dr. S.R.Jondhale

Development of an Efficient Object Detection and Tracking for Autonomous Driving Vehicle Using Deep Learning Algorithm

20.      

Sachin Anap

 Dr. S.R.Jondhale

Development of Speech Signal Based Parkinson's Disease Detection Algorithm Using Machine Learning

21.      

Swapnil Bangal

Dr. S.R.Jondhale

Development of an Efficient Multi-Crop Leaf Disease Detection Algorithm using Deep Learning

22.      

Vidya Wakchaure

Dr. R S Pawase

Development of Real Time Intelligent Control System Using IOT for Onion Storage

23.      

Shivaji Thorat

Dr. R S Pawase

A modelling-based design to accelerate the development of advanced driver assistance systems.

Contact Person:

Dr.S.V.Chaudhari,

Research Coordinator,

E&C Department

Mail to:  chaudharisachinece@sanjivani.org.in