Dr. Ashlin Deepa R. N is an accomplished Associate Professor of Computer Science Engineering at Gokaraju Rangaraju Institute of Engineering and Technology. With over 13 years of experience in academia, she specializes in pattern recognition, machine learning, data science, and high-performance computing. Dr. Ashlin earned her doctoral degree in Computer Science Engineering from JNTU Hyderabad, India, in 2021. She is actively involved in research, consultancy projects, and administrative responsibilities, demonstrating leadership and expertise in managing research initiatives.
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Dr. Ashlin Deepa R. N has an impressive publication record, with numerous articles published in esteemed international journals and presented at conferences. Her research contributions span various domains, including handwritten character recognition, deep learning-based medical diagnostics, and image analysis for neurological disorders. Additionally, she has received recognition for her work through citations and collaborations within the academic community.
Dr. Ashlin Deepa, R. N. is affiliated with Gokaraju Rangaraju Institute of Engineering & Technology in Hyderabad, India. Her Scopus Author Identifier is 57188566995. She has an ORCID profile with the identifier 0000-0002-1742-7516. Dr. Ashlin has been cited 50 times across 44 documents, with an h-index of 5. She has authored or co-authored 17 documents in various academic publications. These metrics highlight her impact and contributions to the academic community in her field of expertise.
Education
Dr. Ashlin completed her Ph.D. in Computer Science Engineering from JNTU Hyderabad, India. Prior to that, she pursued her Master’s in Computer Science Engineering from Anna University, Chennai, and her undergraduate studies at VIT Vellore. Her academic journey has equipped her with a strong foundation in computer science and research methodologies, enabling her to excel in her field.
Research Focus
Dr. Ashlin’s research focuses on several key areas, including pattern recognition, machine learning, data science, and high-performance computing. She has a particular interest in developing innovative solutions for handwritten character recognition, medical diagnostics, and image analysis. Her research aims to address real-world challenges and contribute to advancements in technology and healthcare.
Professional Journey
Dr. Ashlin has held various academic positions throughout her career, starting as a Lecturer in Computer Science Engineering and progressing to her current role as an Associate Professor. She has served in administrative capacities, including department-level responsibilities and as a Principal Investigator for funded research projects. Her professional journey reflects her dedication to academia, research, and leadership in her field.
Honors & Awards
Throughout her career, Dr. Ashlin has received recognition for her contributions to academia and research. She has been invited as a speaker for faculty development programs and has won awards for her mentorship and project achievements. Her honors and awards reflect her commitment to excellence and innovation in education and research.
Publications Noted & Contributions
Dr. Ashlin has authored numerous publications in esteemed international journals and conferences. Her research contributions cover a wide range of topics, including handwritten character recognition, medical diagnostics, and image analysis. Her publications have been cited and acknowledged for their relevance and impact in advancing knowledge in her field.
Nearest quad-tree (NQT) classifier: a novel framework for handwritten character recognition
- Journal: Cogent Engineering, 2024
- DOI: 10.1080/23311916.2024.2347363
- Contributors: R. N. Ashlin Deepa, Prasad Chetti, P. Chandra Sekhar Reddy, Sorabh Lakhanpal, Abhishek Joshi, O. V. Soloveva
A Reduced Feature-Set OCR System to Recognize Handwritten Tamil Characters using SURF Local Descriptor
- Journal: International Journal of Advanced Computer Science and Applications (IJACSA), 2023
- DOI: 10.14569/IJACSA.2023.0141036
- Contributors: R. N. Ashlin Deepa, S. Sankara Narayanan, Adithya Padthe, Manjula Ramannavar
Drowsiness Detection Using IoT and Facial Expression
- Book Chapter: Proceedings of the International Conference on Cognitive and Intelligent Computing, 2023
- DOI: 10.1007/978-981-19-2358-6_61
- Contributors: R. N. Ashlin Deepa, DontiReddy Sai Rakesh Reddy, K. Milind, Y. Vijayalata, Kamishetty Rahul
Document Text Analysis and Recognition of Handwritten Telugu Scripts
- Conference Paper: Proceedings of 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), 2022
- DOI: 10.1109/ICCCMLA56841.2022.9989012
- Contributors: D.R.N. Ashlin, Y. Vijayalata, A. Negi
Deep Learning Regression-Based Retinal Layer Segmentation Process for Early Diagnosis of Retinal Anomalies and Secure Data Transmission through ThingSpeak
- Journal: Mobile Information Systems, 2022
- DOI: 10.1155/2022/8960132
- Contributors: Siddapuram Arvind, Puja Sahay Prasad, Dr. Vijaya Saraswathi Redrowthu, Y. Vijayalata, Zarin Tasneem, R. N. Ashlin Deepa, Y. Ramadevi
Research Timeline
Dr. Ashlin’s research journey has been marked by continuous growth and innovation. From her early contributions as a lecturer to her current role as an Associate Professor, she has consistently pursued research excellence. Her timeline includes participation in conferences, publication of research papers, and leadership roles in funded research projects, highlighting her ongoing dedication to advancing knowledge and technology.
Collaborations and Projects
Dr. Ashlin has been actively involved in collaborative research projects with industry partners and academic institutions. She has served as the Principal Investigator for funded research projects, leading interdisciplinary teams to develop innovative solutions in areas such as OCR systems, medical diagnostics, and cloud computing. Her collaborations reflect her ability to bridge academia and industry to address real-world challenges and drive technological innovation.