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.

Scholarship DetailsScholarship Details

Minimum 3 Years

Ph.D. admission applications form are closed. Application form for Spring Semester will be opening in August 2024. You may leave your enquiry and we will contact you whenever application form will be opened.
Programme Name

Ph.D. in Computer 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.

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

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

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

Aparna Ashok Kamble

Prof. Balaji Patil Enhanced Path Selection of Mobile Sink using Optimization Technique in Wireless Sensor Network
Research Supervisors
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
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
4 Dr. Rashmi Phalnikar Software Engineering, Requirement Engineering,, Data Science , USer Interface Design
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
7 Dr. Himangi Pande Wireless Body Area Network, Wireless Sensor Networks & IOT, Date Structure, Data Analytics, Healthcare
8 Dr. Sharmishta Desai Machine Learning,Artificial Intelligence,Health Care
9 Dr. Uma Pujeri Computer Networks, Information security, IOT, Machine Learning
10 Dr. Shounak Sugawe Software Engineering, Computer Network, Software Testing

11 Dr. Shilpa Shirish Paygude Image and Video Processing, Computer Vision
12 Dr. Sukhada Bhingarkar

Cloud Computing, Information Security, Machine Learning

Dr. Anand Kulkarni

AI based Optimization

14 Dr. B N Jagdale Intelligent Internet of Things and its security, Blockchain Technology
15 Dr. Shamla Mantri Medical image analysis and Signal Processing,Digital Image Processing,AI & ML
16 Dr. Sushila Palwe Machine Learning, Deep Learning,Computer Vision,Data Analytics

17 Dr. Dhanashri Wategaonkar Computer Network and Cyber Security Embedded Systems & IoT , Artificial Intelligence, Machine Learning and Soft computing , Emerging Technologies
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
20 Dr. Aditi Jahagirdar Computer Vision , Image and Video Analytics, Machine learning applications
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
24 Dr Yogesh R Kulkarni Data mining & Data ware Housing -
25 Dr Prashant S Lahane Machine Learning, Pattern recognition and Brain Computer Interface
26 Dr Prasad Purnaye Cloud Forensics, Cloud Security, AI
27 Dr. Preeti Kale Artificlial Intelligence and Machine Learning,Natural Language Processng, Algorithms,Sensor networks
28 Dr. Madhuri Rao Software Testing, Wireless Sensor Networks, Internet of Things(IoT), Machine Learning
29 Dr.Ranjana Agrawal Artificial Intelligence,Biomedical,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
32 Dr.Sumedha Sirsikar Cyber Security, Wireless Sensor Networks, IoT, Information Security, Emerging Technologies
33 Dr.Trupti Baraskar Computer Vision,Artificial Intelligence, Medical Imaging,Internet of Things(IoT)
34 Dr.Vitthal Gutte Cloud Computing, Algorithm, Security -
35 Dr.Umesh raut Computer Network, Cyber Security -


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