Pre-PhD Admission Form    

About Ph.D. Research Center

Research plays a vital role in the success of any institution. Fundamental research in the field of engineering is a national challenge. Quality research in technology is the need of the hour for sustainable growth. Thakur College of Engineering and Technology (TCET) since its establishment, has a culture of nurturing research abilities at undergraduate and postgraduate level. Pursuing research leading to Ph. D. degree is both challenging and rewarding experience.


Against this background, TCET has approved Ph.D. (Technology) Research Centre of University of Mumbai (UOM) from the current academic year (A.Y.2017-18). It offers research program leading to the Ph. D. (Technology) Degree in Computer Engineering of UOM. Presently 10 seats are approved and it involves course work and other requirements as per university rules/guidelines.


In order to provide a strong platform to the researchers, academicians and scholars, TCET regularly organizes various national and international conferences, seminars, workshops and colloquium. These initiatives enable the stakeholders to build their capacity for critical examination and sound judgment, thereby facilitating them to contribute to the existing body of knowledge.

University recognized Research Guides

Sr. No. Branch Name Designation Domain Concol No
01 COMP Dr.R.R.Sedamkar Professor; IQAC Director NAAC & HOD - Ph.D Programs Networking & Data Compression (COMP)-PG/ICD/2013-14/819
(E&TC)-PG/ICD/2013-14/818
02 COMP Dr.Sheetal Rathi Professor; Dean Academic High performance computing
Data Science
PG/2ICD/2017-18/1569
03 COMP Dr.Harshali Patil Associate Professor; H.O.D. - UG, PG COMP Data Mining
Data Analytics
Machine Learning & Data Science
Software Engineering
Natural Language Processing
Thesis/ICD/2021-22/729
04 COMP Dr.Anand Khandare Associate Professor; Dy. H.O.D. - UG COMP Computer Programming(Structured & OOP)
Machine Learning & Data Science
Database Management System
Computer Networking & Mobile Computing
Data Mining and Warehouse
Natural Language Processing
Thesis/ICD/2021-22/728
05 COMP Dr.Megharani Patil Associate Professor; HOD AI&ML User Experience Design
Intelligent systems
Thesis/ICD/2021-22/655

Key Facilities

  • Conduction of Foundation Program before the start of academic year
  • Regular conduct of lectures and practical work
  • Timely completion of course and thesis
  • Offering courses for domain specialization and to encourage research focussed to industry
  • Active participation of the faculty and students in various National and International Conferences, Workshops, Seminars and Symposia
  • Research Projects in collaboration with industry and research organization like SAMEER
  • Teaching assistantship for deserving & needy student
  • Well equipped laboratories.
  • Well stacked Library with e-resources and large number of on-line subscriptions

Ph.D. Degree Awarded

Sr. No Name of Candidate Date Of Admission/
University Registration Number
Research Topic Guide Present Status
01. Ms. Shiwani Gupta 12-04-2018/
25/16-01-2020
Performance Evaluation of Machine Learning Algorithms for Improving Diagnostic Accuracy Dr. R. R. Sedamkar Result declared on 7.20.22 University Notification/lCP/2022- 23/350 dated 5.11.22
02. Ms. Ravita Vishddhanand Mishra 15-02-2018/ 22/26-12-2019 Performance Evaluation and Design of scalable Job Recommender System using Deep Learning Technique Dr. Sheetal Rathi Result declared on 26. ł1.22 University Notification/lCF/2022- Z3/397 dated 12.12.22
03. Ms. Ela Rajendra Gore 15-OD-2018 26/23-01-2020 Efficient Dlmensioning of Mental Health Data using Predictive Analytics Dr. Sheetal Rathi Result declared
04. Ms. Surekha Ravindra Janrao 08-02-2018 10/10-12-2OJ9 loT Based Framework for Smart Recommendation System-In Agri¢ulture Dr. Deven Shah Result declared
05. Ms. Rajashree Tukaram Gadhave 13-04-2018 20/19-12-2019 Performance Analysis of Hyperspectral imagery data for improving classification accuracy using Neural Network Dr. R. R. Sedamkar Result declared
06. Mrs. Jesalkumari Sagar Varolia 12-02-20t8/ 21/27-12-2029 Performance Evaluation of Cryptographic Schemes for Secret Image Sharing Dr. R. R. Sedamkar Result declared on 6.9.2023 University Notification/ICF/2023- 24/263 dated GB.9.2023
07. Ms. Neha Jain 09-02-2018 19/19-12-2019 Oesign of Efficient Data Security System using Blockchain Dr. R.R. Sedamkar Defence date awaited

RPS/ Course Work/ Topic /Thesis submitted/Cancellation Approval Status

Sr. No Name of Candidate Month Of Admission/
University Registration Number
Research Topic Approval Guide Present Status
01. Vaishali Navanath Nirgude 02-05-2019 27/25-04-2021 Study and Performance Analysis of Fruit Disease Detection and Prediction Dr. Sheetal Rathi Thesis submitted
02. Sunita vinay Naik Nov/Dec 23 Submitted to University Dr. R.R. Sedamkar Course work completed
03. Veena Kulkarni Nov/Dec 23 Submitted to University Dr.Anand Khandare Course work completed
04. Deepali Navin Joshi Nov/Dec 23 Submitted to University Dr.Harshali Patil Course work completed
05. Nitin W Wankhade Nov/Dec 23 Submitted to University Dr.Anand Ghandare Course work completed
06. Tanmayi R Nagale Nov/Dec 23 Submitted to University Dr.Anand Ghandare Course work completed
07. Sayali A Salkade Nov/Dec 23 Submitted to University Dr.Sheetal Rathi Course work completed
08. Ashwini S Patil Nov/Dec 23 Submitted to University Dr.Megharani Patil Course work completed
09. Drashti Shrimal Nov/Dec 23 Submitted to University Dr.Harshali Patil Course work completed
10. Chandana S Khatavkar Nov/Dec 23 Submitted to University Dr. R.R. Sedamkar Course work completed
11. Sudhir DheLane Nov/Dec 23 Submitted to University Dr.Anand Khandare Course work completed
12. Pratiksha Deshmukh Nov/Dec 23 Submitted to University Dr. Harshali Patil Course work completed
13. Pratiksha Deshmukh 12-02-2018/ 24/16-01-2020 Enhancement of Automatic Abstractive Text summarization using unsupervised Deep Learning model Dr. Sheetal Rathi Applied for cancellation of admission
14. Nitin Ravindra Harane 15-02-2018 23/16-OF-2020 Predictive Business Process Monitoring using Multi- Stage Deep Learning Approach Dr. Sheetal Rathi Cancellation in process

Newly admitted in A. Y. 2023-24

Sr. No Name Of Candidate
01 Pradnya Vihang Joshi
02 Madhuri Sahebrao Ghuage
03 Torana Kamble

Summary of Students as on date

Intake Pursuing Ph.D. No. of students completed Ph.D. till date Newly admitted in A.Y. 2023-24 Vacancy
20 11+02 07 03 06
*Vacancies are because of cancellation