Ph.D. in Computer Engineering
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.
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.
Ph.D. in Computer Engineering
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. program1. 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.
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 |
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 |
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 | https://mangesh.bedekar.wixsite.com/home |
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, Date Structure, Data Analytics, Healthcare | https://www.himangipande.com/p/about-us.html |
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 | www.umapujeri.in |
10 | Dr. Shounak Sugawe | Software Engineering, Computer Network, Software Testing | |
11 | Dr. Shilpa Shirish Paygude | Image and Video Processing, Computer Vision | shilpa.paygude.com |
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 | |
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://mitwpu.edu.in/campuslife/mrs-bharati-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 | Artificlial Intelligence and Machine Learning,Natural Language Processng, 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,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 | - |