Ph.D. in Computer Science
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.
Diverse Areas of Research
The Ph.D. in Computer Science offers scholars a dynamic platform to engage in pioneering, high-impact research across five core focus areas:
1. Artificial Intelligence, Machine Learning & Data Analytics
- Artificial Intelligence (AI) and Business Intelligence (BI)
- Machine Learning (ML) and Deep Learning (DL)
- Reinforcement Learning
- Natural Language Processing (NLP)
- Data Mining, Data Analytics, and Healthcare Analytics
- Recommendation Systems
- Semantic Web and Intelligent Agents
- Soft Computing and Fuzzy Logic
- Text Recognition and Music Retrieval
2. Computer Vision, Graphics & Signal Processing
- Image Processing and Digital Image Processing
- Pattern Recognition
- Computer Vision
- Visual Analytics
- Medical Imaging / Medical Image Processing
- Augmented Reality and Virtual Reality (AR/VR)
3. Systems, Networks & Distributed Computing
- Computer Networks and Data Communication
- Wireless Sensor Networks (WSN)
- Cloud Computing, Virtualization, and Cloud Security
- Edge Computing
- Internet of Things (IoT) and Embedded Systems
- Distributed Systems
- High-Performance Computing (HPC)
- Computer Organization
4. Cybersecurity & Information Assurance
- Information Security
- Cybersecurity
- Network Security
5. Interdisciplinary & Applied Computational Domains
- Healthcare Informatics / Healthcare Computing
- Agriculture Engineering Applications
- Remote Sensing and Meteorology
- Computational Chemistry
- Pervasive Computing
- General Computer Science
Duration & Fees
Duration
Minimum 3 Years
Ph.D. admissions are currently closed for the Spring Semester. The application window for AY 2026-27 (Autumn Semester) will open in mid-February 2026. You may leave your enquiry, and we will get in touch with you as soon as the application form is live.
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.
Undergraduate and Postgraduate Degree Specializations for admission
| Name of the Ph.D. program | Relevant Undergraduate Degree (UG) |
Relevant Postgraduate Degree (PG) |
|---|---|---|
| Ph.D. (Computer Science) |
Four Years Graduation in |
Two Years Post-Graduation in |
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 | Batch |
|---|---|---|---|
| 1 | Prajakta Chetan Temkar | Dr. Deepali Javale | Autumn 2026-27 |
| 2 | Amruta Dipakrao Joshi | Dr. Sachin Naik | Autumn 2026-27 |
| 3 | Trupti Dnyaneshwar Chaudhari | Dr. Dipali Baviskar | Autumn 2026-27 |
| 4 | Kiran Prashant Badwaik | Dr. Bhavana Tiple | Autumn 2026-27 |
| 5 | Gunjan Liladhar Kubade | Dr. Pratvina Talele | Autumn 2026-27 |
| 6 | Sneha Rohit Paringe | Dr. Vinayak Musale | Autumn 2026-27 |
| 7 | Aparna Lalit Bhamare | Dr. Jayshree Ghorpade-Aher | Autumn 2026-27 |
| 8 | Prerana Manikchand Sarode | Dr. Anita Thengade | Autumn 2026-27 |
| 9 | Vrushali Mayur Shinde | Dr. Anuradha Kanade | Autumn 2026-27 |
| 10 | Ketaki Jagdish Chandak | Dr. Anagha Deshpande | Autumn 2026-27 |
| 11 | Vandana Singh | Dr. Aparna Kamble | Autumn 2026-27 |
| 12 | Akansha Deepak Shitole | Dr. Dhanashri Wategaonkar | Autumn 2026-27 |
| 13 | Nikita Hemant Patil | Dr. Varsha Naik | Autumn 2026-27 |
| Sr. No. | Name of Research Scholar | Name of Supervisor | Batch |
|---|---|---|---|
| 1 | Priyanka Umakant Vaddepalli | Dr. Gopal Sakarkar | Autumn 2025-26 |
| 2 | Kundan Lohar | Dr. Barnali Shashwat Banerjee | Autumn 2025-26 |
| 3 | Shubhangi Vitalkar | Dr. Barnali Shashwat Banerjee | Autumn 2025-26 |
| 4 | Trupti Gohad | Dr. Barnali Shashwat Banerjee | Autumn 2025-26 |
| 5 | Chanderi Sanket Sarkale | Dr. Shubhalaxmi Joshi | Autumn 2025-26 |
| 6 | Sameer Bajirao Kakade | Dr. Basant Tiwari | Autumn 2025-26 |
| 7 | Rutuja Sanyog Pharande | Dr. Basant Tiwari | Autumn 2025-26 |
| 8 | Mohini Chaudhari | Dr. Shankar Mali | Autumn 2025-26 |
| 9 | Saloni Sanjeev Surve | Dr. Anu Singha | Autumn 2025-26 |
| 10 | Sachin Pandurang Thorat | Dr. Pravin Metakewar | Autumn 2025-26 |
| 11 | Jayashree Pradeep Borkar | Dr. Pravin Metakewar | Autumn 2025-26 |
| 12 | Om Chandrakant Palve | Dr. Pravin Metakewar | Autumn 2025-26 |
| 13 | Dasharath Babaji Suryavanshi | Dr. Pradnya Vaibhav Kulkarni | Autumn 2025-26 |
| 14 | Renuka Ravikiran Shelke | Dr. Sachin Bhoite | Spring 2025-26 |
| 15 | Madhavi Barwade | Dr. Madhura Phatak | Spring 2025-26 |
| 16 | Pavankumar Patil | Dr. Basant Tiwari | Spring 2025-26 |
| 17 | Arpita Vinod Makhamale | Dr. Deepali Jawale | Spring 2025-26 |
| 18 | Jyoti Prakash Malusare | Dr. Pradnya Vaibhav Kulkarni | Spring 2025-26 |
| 19 | Maya Nair | Dr. Sachin Naik | Spring 2025-26 |
| 20 | Seema Sandeep Madke | Dr. Madhura Phatak | Spring 2025-26 |
| 21 | Ashwini Shivaji Khade | Dr. Gopal Sakarkar | Spring 2025-26 |
| 22 | Shweta Nikhil Bhoir | Dr. Bhavana Tiple | Spring 2025-26 |
| 23 | Priya Prabhakar Shenoy | Dr. Jayashree Aher | Spring 2025-26 |
| 24 | Sonali Mahesh Huddar | Dr. Pradnya Kulkarni | Spring 2025-26 |
| 25 | Monika Katre | Dr. Sachin Naik | Spring 2025-26 |
| 26 | Vaibhav Raut | Dr. Pravin Metkewar | Spring 2025-26 |
| 27 | Priyesh Shailesh Kulkarni | Dr. Pradeep Tiwari | Spring 2025-26 |
| 28 | Diksha Bangude | Dr. Pravin Metkewar | Spring 2025-26 |
| Sr. No. | Name of Research Scholar | Name of Supervisor | Batch |
|---|---|---|---|
|
1 |
Samidha Devendra Chandvekar | Dr. Anuradha Kanade | Autumn 2024-25 |
|
2 |
Ishita Amol Dixit | Dr. Basant Tiwari | Autumn 2024-25 |
|
3 |
Ashwini Sachin Shivane | Dr. Sachin Bhoite | Autumn 2024-25 |
|
4 |
Snehal Raju Tandale | Dr.Shankar Mali | Autumn 2024-25 |
|
5 |
Sonu Singh | Dr. Deepali Javale | Autumn 2024-25 |
|
6 |
Spruha Santosh More | Dr. Sachin Bhoite | Autumn 2024-25 |
|
7 |
Rajashri Nitin Gaikwad | Dr.Gopal Sakarkar | Autumn 2024-25 |
|
8 |
Pranali Kuldeepsing Sisodiya | Dr. Gopal Sakarkar | Autumn 2024-25 |
|
9 |
Suvarna Vikasrao Munde | Dr. Shubhalaxmi Joshi | Autumn 2024-25 |
|
10 |
Chinmay Kiran Patwardhan | Dr. Shubhalaxmi Joshi | Spring 2024-25 |
|
11 |
Hrishikesh Mangesh Tendulkar | Dr. Anu Singha | Spring 2024-25 |
|
12 |
Kaustubh Prakash Keer | Dr. Anuradha Kanade | Spring 2024-25 |
|
13 |
Kalyani Sreedhar Babu Alisetty | Dr. Pradeep Kumar Tiwari, | Spring 2024-25 |
|
14 |
Janhavi Mandar Vadke | Dr. P S Metkewar | Spring 2024-25 |
| Sr. No. | Name of Research Scholar | Name of Supervisor | Batch |
|---|---|---|---|
|
1 |
Renuka Ramesh Zope | Dr. Sachin Bhoite | Autumn 2023-24 |
|
2 |
Devayani Vikram Warungase | Dr. Shankar Mali | Autumn 2023-24 |
|
3 |
Ashish Bhanudas Garud | Dr. Shankar Mali | Autumn 2023-24 |
|
4 |
Mandar Prakash Parale | Dr. Shankar Mali | Autumn 2023-24 |
|
5 |
Pratibha Rajendra Patil | Dr. Anuradha Kanade | Autumn 2023-24 |
|
6 |
Siddhant Jagannath Buchade | Dr. Gopal Sakarkar | Autumn 2023-24 |
|
7 |
Kanchan Ashok Taksale | Dr. Sachin Bhoite | Spring 2023-24 |
|
8 |
Sujata Sachin Ambekar | Dr. Meenal Jabde | Spring 2023-24 |
|
9 |
Bhagyashri S Pawar | Dr. Meenal Jabde | Spring 2023-24 |
| Sr. No. | Name of Research Scholar | Name of Supervisor | Batch |
|---|---|---|---|
|
1 |
Kiran Krishnath Khapare | Dr. Bhavana Tiple | Spring 2022-23 |
|
2 |
Ashwini Umesh Koyande | Dr. Anu Singha | Spring 2022-23 |
| Sr. No. | Name of Research Scholar | Name of Supervisor | Batch |
|---|---|---|---|
|
1 |
Khan Idris | Dr. Sachin Bhoite | Dec 2021 |
|
2 |
Vinay Supekar | Dr. P S Metkewar | Dec 2021 |
| Sr. No. | Name of Research Scholar | Name of Supervisor | Batch |
|---|---|---|---|
|
1 |
Patil Nishit Bhaskar | Dr. Shubhalaxmi Joshi | Oct 2020 |
|
2 |
Purohit Neha M | Dr. Shubhalaxmi Joshi | Oct 2020 |
|
3 |
Kamble Nisha Nitin | Dr. Shankar Maruti Mali | Oct 2020 |
|
4 |
Bapat Mayuri Manoj | Dr. Shankar Maruti Mali | Oct 2020 |
Defense Completed Scholars
| Sr. No. | Name Of Scholar | Supervisor | Title of Thesis |
|---|---|---|---|
| 1 | Jabde Meenal Kaustubh | Dr. C. H. Patil | Air-Written Real Time Multilingual Numeral String Recognition system |
| 2 | Mullapudi Archana | Dr. C. H. Patil | Machine Learning Modeling for Agricultural Drought Assessment using Multisensor Remote Sensing Data |
| 3 | Khan Atiya | Dr. C. H. Patil | Seasonal Crop classification using remote sensing data : An ANN/CNN approach |
| 4 | Railkar Dipali Nilesh | Dr. Shubhalaxmi Joshi | Design and Development of Automated Penetration Testing Model for Network Efficacy. |
| 5 | Katyare Poonam Prashant | Dr. Shubhalaxmi Joshi | Productivity Analysis of Construction Equipment using IoT System |
| 6 | Mayuri Bapat | Dr. Shankar Mali | Towards an automatic early stress detection system based on multimodal measurements |
| 7 | Purohit Neha M | Dr. Shubhalaxmi Joshi | Design of Elliptic Curve Cryptography based Security Framework for Power Constrained Smart Device |
admissions@mitwpu.edu.in
