Ph.D. in Computer Engineering

Programme Overview

The Department of Computer Science and Applications 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
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 Supervisor information
Sno Name Of The Supervisor Areas Of Interest  Personal Website Link
1 Dr. Vrushali Kulkarni Area- machine learning, AI, cognitive computing, application domain - agriculture and healthcare
2 Dr. Balaji Patil Computer Network, Cyber Security, IOT and Agriculture
3 Dr. Mangesh Bedekar Web Data Mining, Web Personalization, User Interface Design, User Interface Improvements, Browser Customization, Affective Computing and Information Visualization
4 Dr. Rashmi Phalnikar Software Engineering, Requirement Engineering, Data Science , User Interface Design
5 Dr. Sharmishta Desai Machine Learning,Artificial Intelligence,Healthcare 
6 Prof. Nitin N. Pise Machine Learning, Data Science, Blockchain Technology
7 Dr. Himangi Pande Wireless Body Area Network, Wireless Sensor Networks & IOT, Date Structure, Data Analytics
8 Dr. Kishor R. Kolhe Blockchain Technology, Internet of Things, Network and Security,
9 Dr. Uma Pujeri Computer Networks, Information security, IOT, Machine Learning
10 Dr. Shounak Sugawe  Software Engineering, Computer Network, Software Testing
11 Dr. Sukhada Bhingarkar Cloud Computing, Information Security, Machine Learning
12 Dr. Shilpa Shirish Paygude Image and Video Processing, Computer Vision
13 Dr. B N Jagdale Intelligent Internet of Things and its security, Blockchain Technology
14 Dr. Shamla Mantri Medical image analysis and Signal Processing,
 Digital Image Processing,
 AI & ML
15 Dr. Bharati Dixit Computer vision, Image processing, AI, Machine learning, IoT, drone Technology
16 Dr. Aditi Jahagirdar Computer Vision , Image and Video Analytics, Machine learning applications
17 Dr.Sushila Palwe Artificial Intelligence, Machine Learning and Soft computing, Data Analytics
Computer Vision, Image and Video Analytics , Databases, Algorithms
Emerging Technologies
18 Dr. Dhanashri Wategaonkar Computer Network and Cyber Security
Embedded Systems & IoT , Artificial Intelligence, Machine Learning and Soft computing , Emerging Technologies  
19 Dr. Apoorva Shastri Development of AI based Nature Inspired Optimization Methods -
Research Scholar information

Batch 2021-22

S.N. Name of the Scholar Name of the Supervisor Title Date of registration
1 Ruhina Basheer Karani Dr. Sharmishta Desai Curriculum Learning Paradigm for Measuring Emotional Intelligence 18th July 2022
2 Madhuri Sadashiv Arade Dr. Nitin Pise Scalable, Privacy Preserving & Intelligent Smart Contracts Based Blockchain for Agri-Food Supply Chain System (to be modified as per suggestions from the experts) 8th July 2022
3 Sharayu Darshan Mirasdar Dr. Magesh Bdedekar Designing a robust QA system for ‘Charaksamhita’ using Deep Learning & Natural Language Processing techniques 18th July 2022
4 Nilofer Munir Attar Dr Shilpa Paygude Developmental Disroder Detection System for children using Enhanced Deep Learning Approach 14th July 2022
5 Mahendra Prabhakar Shinde Dr Uma Pujeri NLP powered decision support system for precision agriculture 15th July 2022
6 Hemlata Sandip Ohal Dr.Shounak Sugave EEG Signal Analysis for effect of pranyama 19th July 2022
7 Mrunal Pravinkumar Fatangare Dr. Sukhada Bhingarkar Development of Non Invasive Nadi Pariksha System based on Traditional Aurveda Practice with Delinking of Human Expertize and Judgement (Will be finalized after topic finalization seminar) 18/7/2022
8 Priyanka Rajesh Gulhane Dr. Himangi Pande Hybrid Approach for Ocular Disease Detection 15th July 2022

Batch 2020-21

S.N. Name of the Scholar Name of the Supervisor Title Date of registration
1 Amruta Harish Hingmire Dr. Uma Pujeri Investigation on Waste Management Using Artificial Intelligence 29 th Oct 2020
2 Amruta Chandrakant Amune Dr. Himangi Pande Secure Encryption scheme for sustainable Wireless Sensor Network 29 th Oct 2020
3 Faraz Aarif Bagwan Dr. Nitin Pise Identification of SARS Infection from Segmented Lung X Ray Images 29 th Oct 2020
4 Jyoti Ganesh Mante Dr. Kishore Kolhe 29 th Oct 2020
5 Pallavi Madhukarrao Shimpi Dr. Nitin Pise Malware Detection in Android Smartphones using machine learning approaches. 29 th Oct 2020
6 Pavitha - N Dr. Shaounak Sugawe Ensemble Classifier with Explainable Artificial Intelligence for Credit Risk Prediction 29 th Oct 2020
7 Pooja Venkatrao Mundhe Dr. Kishore Kolhe A Deep Learning based Emotion Classification Engine from EEG signals 29 th Oct 2020
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 29 th Oct 2020
9 Puja Appasaheb Chavan Dr. Sharmishta Desai Effective Detection of Epileptic Seizure 29 th Oct 2020
10 Swati Vishal Sinha Dr. B. M. Patil Early Prediction of Grape Quality using IOT & Machine learning based on Pre Harvesting Data 5-Oct-20

Batch 2018-19

S.N. Name of the Scholar Name of the Supervisor Title Date of registration
1 Vidya Sujit Kurtadikar Dr. Himangi Pande Machine Learning based Technique for Detection of Fetal Compromise during Antepartum and Intrapartum Phase 3-Jan-20
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-Jan-20
3 Aparna Ashok Kamble Prof. Balaji Patil Enhanced Path Selection of Mobile Sink using Optimization Technique in Wireless Sensor Network 10-Jan-20
4 Abhishek Prakash Chunawale Prof. Mangesh Bedekar Multimodal Responsive System for Human Affective State Analysis based on Physiological Signal and Human Computer Interaction 7-Jan-20
5 Shakti Sanjay Kinger Prof. Vrushali Kulkarni Design and develop an XAI system Jan-20
6 Deepali Pankaj Javale Prof. Sharmishta Desai Effective Detection, Monitoring and Analysis of Hypoglycemia Features using Vital Superficial Body Parameters 3-Jan-20
7 Chetana Hemant Nemade Prof. Uma Pujeri Analysis and Optimized Secured Traffic Management System For Emergency Vehicle using IOT 20-Jan-20
8 Manisha Tilokchandji Thakkar Prof. Nitin Pise Scalable Task Oriented Conversational Agent to adapt to Changing Environment 11-Jan-20

Batch 2017-18

S.N. Name of the Scholar Name of the Supervisor Title Date of registration
1 Vaishali Pankaj Suryawanshi Prof. Rashmi Phalnikar Analysis of malnutrition Screening Strategies to monitor and predict nutrition requirement for Geriatric patients 5-Oct-17
2 Madhuri Dhananjay Chatur Prof. Mangesh Bedekar Image Caption Generating System for Domain Specific Images Using Deep Learning and Natural Language Processing Approach 5-Oct-17
3 Pratik Suresh Soygaonkar Prof. Balaji Patil Early stage Behavioral Based diagnosis of childhood autism using machine learning 5-Oct-17
4 Sheetal Girase Prof. Mangesh Bedekar User Query based Algorithm for Video Summarization using Object-Motions 5-Oct-17
5 Shridevi Vishwanath Karande Prof. Vrushali Kulkarni Prediction of cognitive impairments using Multimodal Analysis 5-Oct-17
6 Pranali Kashinath Kosamkar Prof. Vrushali Kulkarni Analysis and Prediction of Greenhouse Gas Emission in Agriculture using Deep Learning 5-Oct-17
7 Sarika Dattatraya Bobde Prof. Rashmi Phalnikar A Novel Approach for software restructuring using Clustering with multiple refactoring method 5-Oct-17
8 Laxmi Bhartesh Bhagwat Prof. Balaji Patil Behavioural approach for detection and analysis of Ransomware attack using learning Techniques 5-Oct-17

List of the defense completed candidates.

S.N. Name of the scholar Name of the supervisor Title Date of defense
1 Prasad Purnaye Dr. Vrushali Kulkarni Potential Evidence Detection for Efficient Cloud Forensics usingQuantification and Triage 26th November 2022
2 Pratiksha Deshmukh Dr. Rashmi Phalnikar Prediction of Breast Cancer Severity by Extracting Prognostic Factors and TNM Cancer Staging from Unstructured Clinical and Pathological Reports 12th December 2022
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