Ph.D. in Computer Engineering

Programme Overview

The Department of Computer Engineering and Technology offers a highly research-intensive full-time and part-time Doctorate programme and provides students with excellent facilities and expert guidance to support their research endeavors. The programme is designed to help postgraduate students develop research skills and prepare for careers in academia or research. The programme provides specialised training in research components such as hypothesis creation, research questions, literature review, research ethics, and the use of online tools and resources. The programme has a strong focus on interdisciplinary research and encourages students to pursue innovative and entrepreneurial ideas in their chosen areas of study. The students are encouraged to find the solution to the problems faced by society and different domains of technology in computer science and other fields.

Duration & Fees

Duration

Minimum 3 Years

Applications are now open for Ph.D. Academic Year 2025–26 (Spring Semester).
Last Date to apply is 30th November 2025.
*Please note that all applications received on or after 1st December 2025 will be processed for admission to our Summer Ph.D commencement of July 2026.

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

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

8. Candidates who will join Ph.D. programme full time, they will be provided with the stipend as per MITWPU norms.

9. Ph.D. admission will be confirmed after successful completion of the coursework with 55% or more as per UGC norms. Ph.D. programme should be minimum of three years including coursework 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. programme 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.

Research Scholar

Sr. No. Name of Research Scholar Name of Supervisor Title

1

Gokhale Soudamini Shirish

Prof. Sushila Palwe

Risk Analysis and Prediction of Maternofetal Complications in Indian Diabetic Pregnancies

2

Vinod Mahajan

Prof. Aditi Jahagirdar

-

3

Rucha Abhijit Gurav

Prof. Rashmi Phalnikar

Detection Of Label Flipping Adversarial Poisoning Attacks With Improved Performance  Metrics Using Ensemble Learning Approach

4

Varsha Anup Jujare

Prof. Vrushali Kulkarni

-

5

Anuja Phapale

Prof. Sukhada Bhingarkar

Context-Aware Deep Learning Framework for unusual Event Detection in Surveillance Videos

6

Samruddhi Sapkal

Prof. Bharati Dixit

Decision Support Framework For Improved Hospital Management System

7

Divyarani Pandurang Babar

Prof. Balasao Jagdale

Early Detection of Forest Fire using Wireless Sensor Network and Enhanced Machine Learning Algorithms

8

Vaishali choudhary

Prof. Apoorva Shastri

Investigation of the application of Cohort Intelligence algorithm for solving patient scheduling problem involving uncertainty.

Sr. No. Name of Research Scholar Name of Supervisor Title

1

Ruhina Basheer Karani

Dr. Sharmishta Desai

Impact of Curriculum Learning Paradigm on Identifying Emotional Intelligence

2

Madhuri Sadashiv Arade

Dr. Nitin Pise

Blockchain Based Privacy Preserving Supply chain Management System for Agriculture Food

3

Sharayu Darshan Mirasdar

Dr. Magesh Bdedekar

Designing a robust QA system for ‘Charaksamhita’ using Deep Learning & Natural Language Processing techniques

4

Nilofer Munir Attar

Dr Shilpa Paygude

Developmental Disorder Detection System for children using Enhanced Deep Learning Approach

5

Mahendra Prabhakar Shinde

Dr. Uma Pujeri

NLP powered decision support system for precision agriculture

6

Hemlata Sandip Ohal

Dr. Shamla Mantri

Effect of Pranayam on Mental and Physical Health through the analysis of EEG signals and Physiological Parameters

7

Mrunal Pravinkumar Fatangare

Dr. Sukhada Bhingarkar

Computational Nadi Patterns and Tridoshas based Non Invasive Nadi Pariksha System for Human Health Diagnosis

8

Priyanka Rajesh Gulhane

Dr. Himangi Pande

Hybrid Approach for Ocular Disease Detection

Sr. No. Name of Research Scholar Name of Supervisor Title

1

Amruta Harish Hingmire

Dr. Uma Pujeri

Investigation on Waste Management Using Artificial Intelligence

2

Amruta Chandrakant Amune

Dr. Himangi Pande

Secure Encryption scheme for sustainable Wireless Sensor Network

3

Faraz Aarif Bagwan

Dr. Nitin Pise

Identification of SARS Infection from Segmented Lung X Ray Images 

4

Jyoti Ganesh Mante

Dr. Kishore Kolhe

Distributed Denial of  Service Attack Detection in the Internet of things

5

Pallavi Madhukarrao Shimpi

Dr. Nitin Pise

Malware Detection in Android Smartphones using machine learning approaches

6

Pavitha - N

Dr. Shaounak Sugawe

Ensemble Classifier with Explainable Artificial Intelligence for Credit Risk Prediction

7

Pooja Venkatrao Mundhe

Dr. Kishore Kolhe

A Deep Learning based Emotion Classification Engine from EEG signals

8

Priyanka Bhatele

Dr. Mangesh Bedekar

Framework to Identify User Intent for online learning in Smartphones and Tablets based on inbuilt sensors using Soft Computing Techniques

9

Puja Appasaheb Chavan

Dr. Sharmishta Desai

Effective Detection of Epileptic Seizure

10

Swati Vishal Sinha

Dr. B. M. Patil

Early Prediction of Grape Quality using IOT & Machine learning based on Pre Harvesting Data

11

Swati Vilas Jadhav

Dr. Nitin Pise

Security-based automated Blockchain-based philanthropy platform.

Sr. No. Name of Research Scholar Name of Supervisor Title

1

Vidya Sujit Kurtadikar

Dr. Himangi Pande

Machine Learning based Technique for Detection of Fetal Compromise during Antepartum and Intrapartum Phase

2

Pratvina Vinayak Talele

Prof. Rashmi Phalnikar

Developing a Framework for Identification and Prioritisation of Functional and Non-Functional Requirements using Machine Learning Approach

3

Abhishek Prakash Chunawale

Prof. Mangesh Bedekar

Multimodal Responsive System for Human Affective State Analysis based on Physiological Signal and Human Computer Interaction

4

Shakti Sanjay Kinger

Prof. Vrushali Kulkarni

Design and develop an XAI system

5

Deepali Pankaj Javale

Prof. Sharmishta Desai

Effective Detection, Monitoring and Analysis of Hypoglycemia Features using Vital Superficial Body Parameters

6

Chetana Hemant Nemade

Prof. Uma Pujeri

Analysis and Optimized Secured Traffic Management System For Emergency Vehicle using IOT

7

Manisha Tilokchandji Thakkar

Prof. Nitin Pise

Scalable Task Oriented Conversational Agent to adapt to Changing Environment

Sr. No. Name of Research Scholar Name of Supervisor Title

1

Pratik Suresh Soygaonkar

Prof. Balaji Patil

Early stage Behavioral Based diagnosis of childhood autism using machine learning

Defense Completed Students

Sr. No. Name of Research Scholar Name of Supervisor Title

1

Prasad Purushottam Purnaye

Prof. Vrushali Kulkarni

Potential evidence detection for efficient cloud forensics using quantification & triage

2

Pratiksha Yadav Deshmukh

Prof. Rashmi Phalnikar

Prediction of Breast Cancer Severity by Extracting Prognostic Factors and TNM Cancer-staging from Unstructured Clinical and Pathological Reports

3

Madhuri Dhananjay Chatur

Prof. Mangesh Bedekar

Image Caption Generating System for Domain Specific Images Using Deep Learning and Natural Language Processing Approach

4

Pranali Kashinath Kosamkar

Prof. Vrushali Kulkarni

Analysis and Prediction of Greenhouse Gas Emission in Agriculture using Deep Learning

5

Vaishali Suryawanshi

Prof. Rashmi Phalnikar

Analysis of malnutrition Screening Strategies to monitor and predict nutrition requirement for Geriatric patients

6

Sarika Bobde

Prof. Rashmi Phalnikar

A Novel Approach for software restructuring using Clustering with multiple refactoring method

7

Aparna Ashok Kamble

Prof. Balaji Patil

Enhanced Path Selection of Mobile Sink using Optimization Technique in Wireless Sensor Network

Research Supervisor

Sr. No. Name of the Research Supervisor Research areas of the Supervisor Personal Website Link

1

Dr. Vrushali Kulkarni

Machine learning, AI, Cognitive computing, application domain - Agriculture and Healthcare

https://sites.google.com/mitwpu.edu.in/vyk

2

Dr. Mangesh Bedekar

Web Data Mining, Web Personalization, User Interface Design, User Interface Improvements, Browser Customization, Affective Computing and Information Visualization

-

3

Dr. Balaji Patil

Computer Network, Cyber Security, IOT and Agriculture

https://drbmpatil.wordpress.com

4

Dr. Rashmi Phalnikar

Software Engineering, Requirement Engineering,, Data Science, User Interface Design

https://rashmiphalnikar.wordpress.com/

5

Prof. Nitin N. Pise

Artificial Intelligence, Machine Learning, Data Science, Cyber Security and Blockchain Technology

-

6

Dr. Kishor R. Kolhe

Blockchain Technology, Internet of Things, Network and Security, Cybersecurity

kishorkolhe.com

7

Dr. Himangi Pande

Wireless Body Area Network, Wireless Sensor Networks & IOT, Data Structure, Data Analytics, Healthcare

-

8

Dr. Sharmishta Desai

Machine Learning, Artificial Intelligence, Health Care

https://sharmishtasite.wordpress.com/

9

Dr. Uma Pujeri

Computer Networks, Information security, IOT, Machine Learning

-

10

Dr. Shounak Sugawe

Software Engineering, Computer Network, Software Testing

https://sites.google.com/view/shounaksugave/

11

Dr. Shilpa Shirish Paygude

Image and Video Processing, Computer Vision

-

12

Dr. Sukhada Bhingarkar

Cloud Computing, Information Security, Machine Learning

https://research.mitwpu.edu.in/researcher/sukhada-bhingarkar

13

Dr. Anand Kulkarni

AI based Optimization

-

14

Dr. B N Jagdale

Intelligent Internet of Things and its security, Blockchain Technology

https://bjagdalewebsite.github.io/

15

Dr. Shamla Mantri

Medical image analysis and Signal Processing,Digital Image Processing, AI & ML

https://shamlamantri.wixsite.com/home

16

Dr. Sushila Palwe

Machine Learning, Deep Learning, Computer Vision, Data Analytics

https://sushilapalwe.wordpress.com/

17

Dr. Dhanashri Wategaonkar

Computer Network and Cyber Security Embedded Systems & IoT, Artificial Intelligence, Machine Learning and Soft Computing, Emerging Technologies


https://dhanashreewategaonkar.wordpress.com/

18

Dr. Apoorva Shastri

Development of AI based Nature Inspired Optimization Methods

-

19

Dr. Bharati Dixit

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

https://research.mitwpu.edu.in/researcher/bharti-dixit

20

Dr. Aditi Jahagirdar

Computer Vision, Image and Video Analytics, Machine learning applications

https://research.mitwpu.edu.in/researcher/aditi-jahagirdar

21

Dr. Nikhil Mhala

Deep Learning, Medical Imaging, Computer Vision

-

22

Dr. Anamika Jain

Biometrics, Image Processing, Machine Learning, Deep Learning

-

23

Dr. Amit Sadanand Savyanavar

Artificial Intelligence, Deep Learning, Medical Imaging

https://sites.google.com/mitwpu.edu.in/amitsavyanavar/home

24

Dr. Yogesh R Kulkarni

Data mining & Data ware Housing

-

25

Dr. Prashant S Lahane

Machine Learning, Pattern recognition and Brain Computer Interface

https://prashantlahane.wordpress.com/

26

Dr. Prasad Purnaye

Cloud Forensics, Cloud Security, AI

https://sites.google.com/view/prasadpurnaye

27

Dr. Preeti Kale

Artificial Intelligence and Machine Learning, Natural Language Processing, Algorithms, Sensor networks

https://research.mitwpu.edu.in/researcher/preeti-kale

28

Dr. Madhuri Rao

Software Testing, Wireless Sensor Networks, Internet of Things(IoT), Machine Learning

https://sites.google.com/mitwpu.edu.in/prof-madhuri-rao/home?authuser=0

29

Dr.Ranjana Agrawal

Artificial Intelligence, Biomedical, and healthcare applications

-

30

Dr.Renuka Suryawanshi

Bio-medical Application, IoT, Block-Chain, ML

-

31

Dr.Shilpa Sonawani

Data Analytics, Machine Learning, Wildlife Conservation, Air Quality Monitoring, Climate Change

https://shilpasonawani5.wixsite.com/profile

32

Dr.Sumedha Sirsikar

Cyber Security, Wireless Sensor Networks, IoT, Information Security, Emerging Technologies

https://research.mitwpu.edu.in/researcher/sumedha-sirsikar

33

Dr.Trupti Baraskar

Computer Vision, Artificial Intelligence, Medical Imaging, Internet of Things(IoT)

https://research.mitwpu.edu.in/researcher/trupti-baraskar

34

Dr.Vitthal Gutte

Cloud Computing, Algorithm, Security

-

35

Dr. Umesh Raut

Computer Network, Cyber Security

-

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