Ph.D. in Electronics and Communication Engineering

Programme Overview

A doctoral programme offered by the Department of Electronics and Communication Engineering aims to create distinguished professionals who shall play a leading role in transforming the industry through research, advanced development, teaching, or entrepreneurship.

The Department is committed to long-term research in frontier areas like Wireless Communication, Signal Processing, Artificial Intelligence & Machine learning, Computer vision, VLSI Design & Embedded system. Faculty and students of the Department of ECE have published 400+ papers in reputed journals and indexed conferences and filed more than 30 patents in the last three years.

The Department offers the regular PhD programme as well as a PhD programme in collaboration with Automotive Research Association of India (ARAI).

Students and faculty conduct research projects in thrust areas of Electronics & Communication Engineering. The University has ongoing academic and research collaborations with many universities, research institutes, social health care groups and industries. Organizations like Indian Space Research Organization (ISRO), Indian Institute of Tropical Meteorology (IITM), Semiconductors Lab Chandigarh and Automotive Research Association of India (ARAI) are also a part of the collaboration enabling the university to keep pace with expanding frontiers of knowledge and global developments.

Ph.D. programs offered by the School of Electronics and Communication Engineering:

Scholarship DetailsScholarship Details

Minimum 3 Years

Applications Open for Ph.D. Autumn Semester | Last Day to Apply - 31st May 2024
Programme Name

Ph.D. in Electronics and Communication Engineering

I. Eligibility Criterion for admission to the Ph.D. Programme

The following candidates are eligible to seek admission to the Ph.D. programme

Candidates who have completed:

i) A 1-year/2-semester master’s degree programme after a 4-year/8-semester bachelor’s degree programme or a 2-year/4-semester master’s degree programme after a 3-year bachelor’s degree programme or qualifications declared equivalent to the master’s degree by the corresponding statutory regulatory body, with at least 55% marks in aggregate or its equivalent grade in a point scale wherever grading system is followed or equivalent qualification from a foreign educational institutions accredited by an assessment and accreditation agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country to assess, accredit or assure quality and standards of the educational institutions.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/differently-abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of the commission from time to time.

Provided that a candidate seeking admission after a 4-year/8-semester bachelor’s degree programme should have a minimum of 75% marks in aggregate or its equivalent grade on a point scale wherever the grading system is followed. A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/Differently-abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of commission from time to time.

ii) Candidates who have completed the M. Phil programme with at least 55% marks in aggregate or its equivalent grade in a point scale. A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/Differently abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of commission from time to time.

Reservation is applicable only to Maharashtra domicile candidates provided they submit the necessary documents for reservation before interview. Outside Maharashtra candidates will be considered in open category.

II. Selection Process for the admission to the Ph.D. program

1. Candidates satisfying eligibility criterion shall be called to appear for the Ph.D. entrance test conducted by MITWPU.
The exemption will be given from Ph.D. entrance test for those students who qualify UGC-NET /UGC-CSIR NET /GATE (valid score)/CEED/GPAT (valid score)and similar national tests.

2. PhD entrance test shall be qualifying with qualifying marks as 50% provided that relaxation from 50% to 45% shall be allowed for the candidates belongs to SC/ST/OBC (Non creamy layer)/Differently abled category, Economically Weaker section (EWS) and other category of candidates. The syllabus of entrance test shall consist of 50% of research methodology and 50% shall be subject specific.

3. The interview/viva-voce will be conducted by the university for test qualifying candidates. For selection of candidates a weightage of 70% to the entrance test and 30% to the performance in the interview/Viva-voce shall be given. For GATE/NET/JRF /SET/GPAT/CEED qualified students, the selection will be based on Interview/Viva Voce

4. The recommended candidates will be intimated through email about their selection and the candidates will be offered Ph.D. provisional admission.

5. The eligibility of a candidate is provisional as per information provided by the candidate in his/her application form and is subject to verification of minimum eligibility conditions for admission to the program, educational documents and reservation documents (if any).

6. University keep rights to cancel admission of the Ph.D. scholars in the case of misconduct by the scholar, unsatisfactory progress/absent for consecutive two progress seminars, failure in any examination related to Ph.D., fabrication found in educational and reservation documents, candidate is found ineligible, involved in plagiarism in paper publications and thesis.

7. Provisional eligibility to appear in the selection process is no guarantee for admission to the program.

8. Candidates who will join PhD program full time, they will be provided with the stipend as per MITWPU norms.

9. PhD admission will be confirmed after successful completion of the course work with 55% or more as per UGC norms. Ph.D. programme should be minimum of three years including course work and maximum of six years from the date of admission to the Ph.D. programme.

10. A maximum of an additional two years (2) years can be given through the process of re-registration provided, however, that the total period for completion of a Ph.D. programme should not exceed eight (8) years from the date of admission in the Ph.D. programme.

11. Provided further that, female Ph.D. scholars and persons with Disabilities (having more than 40% disability) may be allowed an additional relaxation of two years(2) ; however the total period for completion of a Ph.D. program in such cases should not exceed ten (10) years from the date of admission of the programme.

12. Female candidates may be provided Maternity Leave/Child Care Leave for up to 240 days in the entire duration of Ph.D. programme.

Areas of Research
Ph.D. (Electronics and Communication Engineering) Ph.D. (Electronics and Communication Engineering) in collaboration with ARAI
Signal, Image and Video Processing Engine Electronic and Management Systems
VLSI and Embedded System Automotive Electronics
Internet of Things Journey Risk Assessment
Wireless Communication Micro Grid and Charging Infrastructure
Automotive Engineering Automotive Real Time Embedded Systems
Artificial Intelligence and Machine Learning Model Based Design & RPT
CAN & CAN Open Technology
Battery and BMS
Hazard Analysis and Risk Assessment
Functional Safety
Automation of Manual Transmission system for Electric Vehicles
Research Scholar
Sr. No. Name of Research Scholar Name of Supervisor Title
1 Pramod Sambhaji Jadhav Dr. Savitri Jadhav Coursework in Progress
2 Prabhakar Manohar Shinde Dr. Alka Barhatte Coursework in Progress
3 Priyanka Mahesh Gurav Dr. Chetan Khadse Coursework in Progress
4 Nitesh Ambadas Pachpor Dr. Kishanprasad Gunale Coursework in Progress
Sr. No. Name of Research Scholar Name of Supervisor Title
1 Yashodhan Vivek Mandke Dr. Sunil Somani Defensive Hardware Security Architecture for Cubesatellite on Board Platform
2 Ashwini Prakashrao Rathod Dr.Sumitra Motade Investigation of the properties of nickel based alloys manufactured using the  additive manufacturing process
Sr. No. Name of Research Scholar Name of Supervisor Title
1 Manisha Mohan Wani Dr. Bharat Chaudhari AI based Protection Scheme for Integrated Smart Grid and Microgrid 
2 Priya Dilip Ghate Dr. Anuradha Phadke Detection of Parkinson's disease by Speech and Handwritten methods using machine learning
3 Asha Rajendra Sanap Dr. Apurva Naik Progressive Assessment and Management of Parkinson’s Disease using Computational Techniques
4 Smita Sanjay Paithankar Dr. Anil Hiwale Improvement in performance of Axial flux motor for Electric Vehicles using optimization method
5 Pradnya Vishram Kulkarni Dr. Vinaya Gohokar Green Harvest: Hydroponic Based Precision Farming for Urban Agriculture
6 Roshnadevi Jaising Sapkal Dr. Krishna Warhade A Novel approach in Multi Object Detection and Tracking for Traffic Surveillance 
7 Chaitanya Kiran Kalawade Dr. Raghunath Bhadae Design of High performance Neural Signal Amplifier
Sr. No. Name of Research Scholar Name of Supervisor Title
1 Aarati Ajit Vagga Dr. Alwin Anuse Object detection and classification under adverse weather conditions
2 Aparna Pandharinath More Dr. Rohini S. Kale Priority Based and Adaptive Multimode Transmission Technique in Delay Tolerant Networks
3 Ashok Kumar Dhingra Dr. A. S. Hiwale A framework for real time analysis of intonation-pitch-accuracy of Swara-s of Indian Vocal Music
4 Manish Kumar Dabhade Dr. K.K.Warhade Multiband microstrip antenna design at microwave and millimeter wave band for 5G application
5 Pooja Champalal Nahar Dr. P. D. Khandekar Design of Efficient stochastic computing circuits
6 Pravin Yallappa Kumbhar Dr. A. A. Naik Energy Optimization in Green IoT 
7 Priyanka Prashant Pawar Dr. A. C. Phadke Anomaly Detection in Low Light Video using Deep Learning Techniques 
8 Savita Ramchandra Pawar Dr. P. M. Jadhav Design of disease prediction system on Grape crop due to impact of climate change
9 Supriya Sadashiv Pethakar Dr. B. S. Chaudhari TinyML Based Multi-Armed Bandit for LoRaWAN Performance Enhancement
10 Vikram Sadashiv Gawali Dr. Milind Pande Design and Development of Drainage Blockage Detection and Removal System
11 Mandar Murlidhar Kolap Dr. P. M. Jadhav Hazard Analysis and Risk Assessment framework for small electric vehicle 
Sr. No. Name of Research Scholar Name of Supervisor Title
1 Vrushali Rajaram Pagire Dr. Anuradha C. Phadke Underwater Object Detection in Dynamic Background
2 Bhakti Amogh Paranjape Dr. Apurva A. Naik Automatic Image Annotation Algorithm for Driver Assistance System
3 Gaurav Ghanshyam Narkhede Dr. Anil S. Hiwale Development of a Framework for Air Quality Prediction System
4 Anagha Yogesh Deshpande Dr. Krishna Warhade Human Activity Recognition from Video Sequences
for Usual and Unusual activities
Sr. No. Name of Research Scholar Name of Supervisor Title
1 Anjali Rajesh Askhedkar  Dr. Bharat S. Chaudhari Study and Analysis of TV White Spaces for LoRa based LPWANs
2  Deepa Soumik Nath  Dr. A. S. Hiwale Resting State Connectivity Analysis for Epilepsy Patients
3 Kiran Dhanaji Kale Dr. Apurva A. Naik Design and Development of Low-Cost Bone Densitometer Using Guided Ultrasonic Waves
4 Vidya Balaji Patil  Dr. Anuradha C. Phadke Investigations of Mesoscale Convective Systems over the Indian Region with Image Processing Techniques
5 Minal Sameer Deshmukh Dr. Prasad D. Khandekar DNN based image compression using stochastic computing on reconfigurable platform
6 Saurabh Vijay Parhad Dr.K.K.Warhade Speckle effect reduction for synthetic aperture radar images
Defense Completed Students
Sr. No. Name of Research Scholar Name of Supervisor Title
1 Saylee Suneel Begampure   Dr. P. M. Jadhav Design of an Intelligent Video Analytic system for Public Safety
2 Neha Prasad Sathe Dr. A. S. Hiwale Gait Analysis for Achieving Health Wellness through the Process of Habilitation by using Classification Techniques
3 Dhanashree K. Barbole Dr. P. M. Jadhav Design of an Efficient System for Yield Prediction of Vineyard using LiDAR Technology
4 Manisha Kumawat Dr. Arti Khaparde Development of Algorithm for Analysis of Vegetation Index Data from Earth Observation Satellites
5 Vedant Shukla Dr. Prasad Khandekar Development and Analysis of Rician Distributed Noise Estimation and Restoration Algorithm
Research Supervisors
Sr. No. Name of the Research Supervisor Research areas of the Supervisor Email address of the Supervisor Scopus ID , Researchers ID, Personal website link  and Vidwan profile link  of the Supervisor
1 Dr. Bharat
AIoT, LPWANs, Wireless/Optical Networks

2 Dr. Anil Hiwale Communication, Healthcare, Signal Processing
3 Dr. Krishna Warhade Signal processing, Communication\


4 Dr. Parul Jadahav Signal Processing., AI-ML, Computer Vision

5 Dr. Apurva Naik

Embedded Systems, IoT

6 Dr. Sunil Somani Wireless Communication, IoT

7 Dr. Alwin Anuse AI-ML
8 Dr. Rupali Kute Computer vision, AI ML 

9 Dr. Chetan Khadse AI, Power System, IoT, Machine Learning, Smart Grid

10 Dr. Shweta Kukade Wireless Communication / IoT

11 Dr. Bharati Dixit

Computer vision, Image processing, AI, Machine learning, IoT, drone Technology


Dr. Sumitra Motade

Wireless Communication, Internet of Things
13 Dr. Kishanprasad Gunale Automotive Electronics, Computer vision

14 Dr. Aditi Jahagirdar Computer vision, Video processing, Image processing, AI, ML Applications

15 Dr. Savitri Jadhav

AIML, Pattern Recognition, Embedded Systems


Dr. Raghunath Bhadade

Antenna/Wireless Communication


Dr. Alka Barhatte

AI-ML, IoT, (Healthcare/Automotive domain applications)



Dr. Vibha Patel

Wireless Communication, Signal Processing, AI-ML, Data Science and Analytics

19 Dr. Manisha Kowdiki Signal, Image  Processing, Computer Vision, AI-ML Applications, Electronics




Dr. Anuradha Phadke

Computer Vision, Video & Image processing, AI-ML, Embedded systems, Edge computing
21 Dr. Vaidehi Deshmukh Signal, Image  Processing, Computer Vision, AI-ML Applications
22 Dr. Manisha Kumawat AI-ML Applications, Image Processing


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