EducationCoursesPatents TitlePublicationsAwardsMembershipBooks Social Media
Education
Ph.D. 2023: Thakur College of Engineering and Technology, University of Mumbai, Mumbai in Computer Engineering
M.E. 2013: MGM’s College of Engineering and Technology, University of Mumbai, Mumbai in Computer Engineering
B.E. 2008: St. Francis Institute of Technology, University of Mumbai, Mumbai in Computer Engineering
Courses
UG:
Machine Learning
Deep Learning
Artificial Intelligence
Digital Signal and Image Processing
Theoretical Computer Science
Analysis of Algorithm
Computer Network
Structured Programming Approach
Data Structure
Object Oriented Analysis and Design
PG:
Advanced Research Methodology
Algorithm and Complexity
PHD:
Data Science
Patents Title
Patent granted on “A system for classifying the Remote Sensing Images using fused Convolutional Features with Machine Learning”, (German), Application No: 202022101590 dated 12th April, 2022
Patent published based on “AI Artificial Intelligence Raspberry Pi Based Indoor Positioning System Enabled Mobile Vehicle for Warehousing and Industrial Applications Using IoT”, (India), Application No: 202141013901 dated 29th March, 2021
Patent published on “IoT-Enabled Smart Helmet for Real-Time Hazard Detection and Worker Safety in Mining Environments”, (Indian), Application No: 202521004942 dated 21/01/2025
Publications
R. T. Gadhave , A. Mohammad, et al , “Deep Learning’s Insights into Cellular Mechanisms and Regenerative Medicine,” 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS), Indore, India, 2025, pp. 1-5, doi: 10.1109/WorldSUAS66815.2025.11199070.
Gadhave, Rajashree T, et al. “Deep Learning-Enabled Decision Support Systems For Strategic Business Management.” International Journal of Environmental Sciences 11.7 (2025): 2025. DOI:10.64252/99s3vt27
Gadhave RT, Vayadande K, Bavkar DM, et al. Reimagining Asteroid Risk Assessment: A Comparative Review of Advanced Machine Learning Techniques. EAI Endorsed Trans AI Robotics [Internet]. 2025 https://publications.eai.eu/index.php/airo/article/view/9142
Kunekar, P., Nooji, P., Chaudhari, M., Dubey, S., Gadhave, R. (2025). The Transformative Role of AI in Public Health for Cancer Prevention, Early Detection, and Management. In: Mohanty, S.N., Rocha, Á., Dutta, P.K. (eds) Artificial Intelligence in Oncology. Springer, Cham. Oct 2025, https://doi.org/10.1007/978-3-031-94302-7_35
Rajashree T. Gadhave , Vijay C P, Tareek Pattewar, et al, “A Deep Learning Approach for Financial Risk Prediction in Enterprise Management Systems” EKSPLORIUM-BULETIN PUSAT TEKNOLOGI BAHAN GALIAN NUKLIR, Vol. 46 No. 1 (2025): May 2025
Rajashree Tukaram Gadhave; B. Haritha; Lakshmi Chandrakanth Kasireddy, “Artificial Intelligence in Next Generation IoT Infrastructure: Challenges and Opportunities” 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), 21-22 February 2025, DOI: 10.1109/CE2CT64011.2025.10939142
Rajashree Gadhave, Aditi Bhopale, Sayli Gole, Vinyas Hegde “Cardless Transactions of ATM using biometric System”, International conference on Intelligent Computing and Networking ( IC-ICN- 2025)
Rajashree Gadhave, Anita Chaudhari, B. Ramesh, Vijilius Helena Raj, H. Pal Thethi, A. Ravitheja, “An Investigation of Various Text Mining Techniques”, Natural Language Processing for Software Engineering, Wiley Library, Jan 2025, https://doi.org/10.1002/9781394272464.ch16
Rajashree Gadhave, Ruchita Kulkarni, Kirti Mhatre, Aditya Shrikhande “AI based Malware Detection mobile Apps”, International conference on Intelligent Computing and Networking ( IC-ICN- 2025)
Veeranna Kotagi; Rajashree Gadhave; Sri Bhargav Krishna Adusumilli; Pitcheri Praveen Kumar, “Ensuring Dataset Accountability in Machine Learning: Insights from Software Engineering”, 2024 7th International Conference on Contemporary Computing and Informatics (IC3I), 18-20 September 2024, DOI: 10.1109/IC3I61595.2024.10829177
Rajashree Gadhave; Dhanush AnilKumar; Rohit Khot; Deepak Gupta, “PredatorSense- Wildlife Detection System”, 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA), DOI: 10.1109/ICCUBEA61740.2024.10774639, 23-24 August 2024
Sami Ahmed, Sanskriti Kharsamble, Shivam Prasad, Rajashree Gadhave, “Drona-Chariot: A Medical Equipment Carrier Drone”, International Journal of Computer Science Language (IJCSL), Volume 1, Issue 1, 2023, DOI (Journal): 10.37591/IJCSL
Rajashree Gadhave, R. R. Sedamkar, Sujata Alegavi “Performance Analysis of Hyperspectral Data Classification based on Hybrid Neural Network Approach”, CIMS, ISSN : 1006-5911, Issue : Vol. 29 No. 5, May 2023
Rajashree Gadhave, R. R. Sedamkar, Sujata Alegavi “Hyperspectral Image Classification using neural networks with effect of feature optimization on fused convolutional features”, ICCCDS 2022, AIP
Nilima Bhosale, Jagruti Bhagat, Shivani Bhoir, Rajashree Gadhave, “Breast Cancer Detection Using Deep Learning”, Journal of Artificial Intelligence, Research & Advances (JoAIRA), ISSN: 2395-6720 Volume 9, Issue 1, 2022 DOI Journal: 10.37591/JoAIRA
Rajashree Gadhave, R. R. Sedamkar, “Automated Classification of Hy-perspectral Imageusing Supervised Machine Learning Approach”, Springer, ICAAAIML-2021, Noida. https://doi.org/10.1007/978-981-19-4831-2_63
Rajashree Gadhave, R. R. Sedamkar, “Statistical perspective on Hyper Spectral Classification System for Accuracy Improvement”, Scopus, IJEAT, February 2020, Volume-9, Issue- 3, ISSN: 2249-8958 http://www.ijeat.org/download/volume-9-issue-3/
Snehal Sarode, Sarika Jadhao, Bhavna Shinde, Rajashree Gadhave, “Classification of Hyperspectral Imagery Data using Capsule Cap Network”, International Journal of Scientific & Engineering Research, Volume 11, Issue 3, March-2020, ISSN 2229-551
Anish Sawant, Yash Shah, Rajashree Gadhave, “A Locomotive Voice-Based Assistant using Raspberry Pi”, International Research Journal of Engineering and Technology, Volume: 07 Issue: 03, March 2020 -ISSN: 2395-0056 https://www.irjet.net/archives/V7/i3/IRJET-V7I3834.pdf
Rajashree Gadhave, “Classification Analysis on Hyperspectral imagery data” JCR, August 2019, Vol 6, Issue 4, 2019, ISSN- 2394-5125
Akshay Jain, Rajashree Gadhave “ Automatic Brain Tumor detection on T1- weighted MR image using K-mean clustering and HCSD” IC-ISCN 2019
Ganesh Yadav, Rajkumar Gupta, Rajashree Gadhave “A smart phone based bus tracking system”, International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, Page No pp.1031-1036, April 2018, Available at http://www.ijcrt.org/IJCRT1812145.pdf
Chandrashekhar Bobade, Akash Warwate, Rajashree Gadhave “Crowd Sourcing for Collaborative Communities” National Level Technical Paper presentation, Terna College of Engineering, Nerul, March 2018
Jayprakash Chourasiya, Kadir Abdul, Rajashree Gadhave “Effective bug data reduction technique instance selection and Feature Selection” International Journal of Creative Research Thoughts (IJCRT) ISSN:2320-2882, Volume.6, Issue 1, Page No pp.915-920, March 2018, Available at : http://www.ijcrt.org/IJCRT1803228.pdf
Akshay Gohil, Amey Ambre, Nimit Makwana, Santoor Rawle, Rajashree Gadhave, “High Capacity Data Hiding Using BPCS Steganography”, Journal of Computing Technologies (2278 – 3814), Volume 3 Issue 4, 2014
Rajashree Gadhave, Vidya Chitre, Vijay Bhosale “Detecting Number of Drift Objects in Packed Surroundings with Coherent motion region”, International Journal of Innovative Research & Development (IJIRD), IJIRD Journal, Volume 2, Issue 3, March 2013, ISSN :2278-0211
Rajashree Gadhave and Vijay Bhosale “Tracking eyes and Detecting Eye Gaze using Single Camera System”, International Conference on Web Engineering Technologies (ICWET) Kandivali, 12th February, 2012
Rajashree Gadhave and Vijay Bhosale “Counting Number of Drift Objects in Packed Surrounding with Coherent motion region”, International Conference on Recent Technologies (i-CORT- 2012), Pune, 10th February, 2012
Awards & Recognitions
Judge for 20th Avishkar: Inter-Collegiate/Institute/Department Research Convention (Zonal Round) on December 1, 2025.
Judge for 2-days inter-collegiate “HACKOCOLYPSE” at PHASC on February 28, 2025.
Reviewer for the International Conference on Emerging Trends in industry 4.0 Technologies (ICETI4T-2025) at SIES Graduate School of Technology (Autonomous), Nerul, Navi Mumbai, June 6th- 7th 2025
Reviewer for the IEEE, International Conference on Advancement in Computation and Computer Technologies (InCACCT-2025) organized by IEEE- Delhi section, Chandigarh University, on 17th- 18th April 2025.
Guest speaker at ExcelR Everyday Learning (EDL) on Foundation of Programming with Python on September 15, 2025.
Session Chair, for International Conference on Intelligent Computing and Networking (IC-ICN 2024) organized at Thakur College of Engineering and Technology, on February 23-24, 2024
Member of Institution’s Innovation Council Regional Meet
Recognized PG, Teacher – University of Mumbai
Judge for Technical poster competition “PRAKALP-2024”, PHCET
Reviewer for the Journal of Scientific Research (UGC Care journal)
Co-coordinator for AICTE Training and Learning (ATAL) sponsored one-week Faculty Development Program on “Emerging Trends in Cyber Security and Digital Forensics” during December 4-9, 2023
Reviewer for the International Conference on Trends and Engineering, Applied Sciences and Management (IC-TEAM -2022) by St. John College of Engineering and Management, Palghar, Maharashtra
Member Syllabus Revision Committee UG for Machine Learning, Machine Optimization, Deep Learning – University of Mumbai
FDP coordinator for six days on “Data Science”, held at Pillai HOC College of Engineering & Technology under the PMMMNMTT, Government of India in association with Shivaji University, Kolhapur during July 1-7, 2019
Judge for Technical paper publication conducted under event “TECHNOMANIA” at Bharti Vidyapeeth College of Engineering, Kharghar on 10th March, 2017
12 Weeks NPTEL Course of “Digital Image Processing”
Membership
Lifetime Member of ISTE
IEEE member
Books
Generative AI: Principals, Technique and Innovations (Scicrafthub International Publication)