Ph.D. Student Status - Department of Computer Engineering

Ph.D. Student Status Admitted in AY 2017-2018 and 2018-2019

Sr. No. Name of Candidate Date of Admission/ University Registration No. Research Topic Guide Present Status
1 Shiwani Gupta 12-04-2018/25/16-01-2020 Performance Evaluation of Machine Learning Algorithms for Diagnostic Accuracy Dr. R.R. Sedamkar Result declared on 7.10.2022, University Notification/ICP/2022-23/350 dated 5.11.2022
2 Ravita Vishddhanand Mishra 15-02-2018/22/16-12-2019 Performance Evaluation and Design of scalable job Recommender System using Deep Learning Technique Dr. Sheetal Rathi Result declared on 26.11.2022, University Notification/ICF/2022-23/397 dated 12.12.2022
3 Ela Rajendra Gore 15-01-2018/26/23-01-2020 Efficient Dimensioning of Mental Health Data using Predictive Analytics Dr. Sheetal Rathi Result declared on 11.07.2023, University Notification/ICF/2022-23/139 dated 19.07.2023
4 Surekha Ravindra Janrao 08-02-2018/10/10-12-2019 IOT Based Framework for Smart Recommendation System Agriculture Dr. Deven Shah Result declared on 2.05.2023, University Notification/ICF/2023-24/44 dated 2.05.2023
5 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 on 28.04.2023, University Notification/ICF/2023-24/69 dated 18.5.2023
6 Jesalkumari Sagar Varolia 12-02-2018/21/27-12-2019 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 18.9.2023
7 Neha Jain 09-02-2018/19/19-12-2019 Design of Efficient Data Security System using Blockchain Dr. R. R. Sedamkar Result declared on 19.10.2023, University Notification/ICF/2023-24/335 dated 17.11.2023
8 Vaishali Navanath Nirgude 02-05-2019/27/25-04-2021 Study and Performance Analysis of Fruit Disease Detection and Prediction Dr. Sheetal Rathi Result declared on 20.08.2024, University Notification/ICF/2024-25/179 dated 31.08.2024
9 Pendurang Ganpati Magduram 12-02-2018/2416-01-2020/ Enhancement of Automatic Abstractive Text summarization using unsupervised Deep Learning model Dr. Sheetal Rathi Admission cancelled
10 Nitin Ravindra Harane 15-02-2018/2316-01-2020/ Predictive Business Process Monitoring using Multistage Deep Learning Approach Dr. Sheetal Rathi Admission cancelled

Ph.D. Student Status Admitted in AY 2022-2023

Sr. No Name of Candidate Month of Admission/ University Registration No Research Topic Guide Present Status
1 Sunita Vinay Naik Nov/Dec 2022/\n56/\n27-03-2024 Design Of  Novel System For Detection Of Lung Cancer Using Deep Learning Techniques Dr. R. R. Sedamkar Course work Completed\nRegistration Completed\nRPS Completed: 3
2 Veena Kulkarni Nov/Dec 2022/\n45/\n07-03-2024 Design & Development of an Approach for Bug Categorization & Severity Prediction using Deep Learning Techniques Dr. Anand Khandare Course work Completed\nRegistration Completed\nRPS Completed: 3
3 Deepali Navin Joshi Nov/Dec 2022/\n50/\n21-03-2024 Design and development of agriculture system for detection and prediction of plant diseases to enhance the productivity Dr. Harshali Patil Course work Completed\nRegistration Completed\nRPS Completed: 3
4 Nitin W Wankhade Nov/Dec 2022/\n57/\n27-03-2024 Design and Development of Deep Generative Intrusion Detection System for cloud computing Environments. Dr. Anand Khandare Course work Completed\nRegistration Completed\nRPS Completed: 3
5 Tanmayi R Nagale Nov/Dec 2022/\n48/\n16-03-2024 Design and Development of System for Brain Fingerprinting and Lie Detection using Deep Learning Algorithm Dr. Anand Khandare Course work Completed\nRegistration Completed\nRPS Completed: 3
6 Sayali A Salkade Nov/Dec 2022/\n53/\n21-03-2024 Design of efficient framework for pulmonary disease detection and classification using Explainable AI Dr. Sheetal Rathi Course work Completed\nRegistration Completed\nRPS Completed: 3
7 Ashwini S Patil Nov/Dec 2022/\n46/\n07-03-2024 Design of an Enhanced Explainable AI based Approach for Early Detection and Prediction of Epileptic Seizure Dr. Megharani Patil Course work Completed\nRegistration Completed\nRPS Completed: 3
8 Drashti Shrimal Nov/Dec 2022/\n52/\n21-03-2024 Design and optimization of explainable techniques in recommendation systems Dr. Harshali Patil Course work Completed\nRegistration Completed\nRPS Completed: 3
9 Chandana S. Khatavkar Nov/Dec 2022/\n56/\n27-03-2024 Design of an Artificial Intelligence based Smart Agriculture system to enhance productivity. Dr. R.R. Sedamkar Course work Completed\nRegistration Completed\nRPS Completed: 3
10 Sudhir Dhekane Nov/Dec 2022/\n44/\n02-03-2024 Modelling Brain Computer Interface to Test Major\nDepressive Disorder Stages (MDDS) using Machine Learning Dr. Anand Khandare Course work Completed\nRegistration Completed\nRPS Completed: 3
11 Pratiksha Deshmukh Nov/Dec 2022/\n51/\n21-03-2024 Design and development of Depression detection and prediction model using machine learning and metaheuristic algorithm Dr. Harshali Patil Course work Completed\nRegistration Completed\nRPS Completed: 3

Ph.D. Student Status Admitted in AY 2023-2024, 2024-2025

Sr. No. Name of Candidate Month of Admission Guide Present Status
1 Pradnya Vihang Joshi Feb 2024 Dr. Sheetal Rathi Course work Completed\nRegistration In- Process
2 Madhuri Sahebrao Ghuge Feb 2024 Dr. Megharani Patil Course work Completed\nRegistration In- Process
3 Torana Kamble Feb 2024 Dr. Sheetal Rathi Course work Completed\nRegistration In- Process
4 Ms. Priyanka Gajendra Bolinjkar Jan 2025 Dr.Anand Khandare Course work Completed
5 Ms. Sneha Ramakant Sankhe Jan 2025 Dr.Megharani Patil Course work Completed
6 Ms. Sampada Bhonde Jan 2025 Dr.Sheetal Rathi Course work Completed
7 Ms. Siddhi Shekhar Ambre Jan 2025 Dr. R R Sedamkar Course work Completed
8 Ms. Swati Warbhe July 2025 Dr. Sheetal Rathi Course work Completed

Summary of Ph.D. Program Status

Intake Pursuing Ph.D. Number of students completed Ph.D. till date Newly admitted in A.Y. 2024-25 Vacancy
20 19 8 5 1