Dept. of Computer Science & Engineering

Dr. Jyothi R.L.

Associate Professor (Non Cadre) — College of Engineering Karunagappally

Nineteen years of teaching and research at the intersection of digital image processing, machine learning and deep learning — with a research thread that runs from convolutional neural networks back to the palm-leaf manuscripts of Kerala.

Qualification
Ph.D., Computer Science & Engineering
Specialization
Digital Image Processing, Machine Learning, Deep Learning
Experience
19 years
Institution
College of Engineering Karunagappally
Memberships
ISTE, IEEE
Scholar ID
Google Scholar ↗
ORCID
0000-0002-8294-4253 ↗
01

About

Dr. Jyothi R.L. is an Associate Professor in the Department of Computer Science & Engineering at College of Engineering Karunagappally, where she has taught for nineteen years. Her doctoral and postdoctoral work centres on document image analysis — most distinctively, the recognition and restoration of ancient Grantha script preserved on palm-leaf manuscripts.

Her published work spans binarization, thinning algorithms, wavelet-based recognition, Gabor-based multilayer architectures and convolutional neural networks, several of which were developed specifically to recover and digitize historical palm-leaf documents that are otherwise fading from record.

Beyond the classroom, she has coordinated multiple faculty development and training programmes in image processing, Python, and open-source tools, and has led industrial visits and expert sessions connecting students with practitioners in cybersecurity and IoT.

  • FocusDocument image binarization & segmentation
  • FocusPalm-leaf manuscript & Grantha script recognition
  • FocusConvolutional neural networks for character recognition
  • FocusWavelet transforms & curvelet-based thinning
  • FocusApplied machine learning & deep learning
19
Years Teaching
19
Journal Papers
14
Conference Papers
2
Professional Bodies
02

Publications

03

Teaching

Subjects Handled

Courses taught at undergraduate and postgraduate level, spanning core programming foundations through to image processing and applied machine learning.

PBCST304 PBCST304 Object Oriented Programming ↗ B.Tech Semester 3 · CSE
HNCST509 HNCST509 Object Oriented Design using UML↗ B.Tech Semester 3 · CSE
Digital Image Processing B.Tech / M.Tech · CSE
Machine Learning B.Tech · CSE
Python Programming Workshop / B.Tech
Deep Learning B.Tech / M.Tech · CSE
04

Service & Recognition

Best Author Award — ICETT 2011
International conference on cloud computing.
Faculty Development Programme Coordinator
Coordinated programmes including "Impact of Recent Tools and Techniques in Processing of Digital Images," "Recent Areas in Image Processing," and "Stochastic Methods in Analysis and Processing of Digital Images."
Workshop Coordinator — Introduction to Python Programming
Led hands-on training for students and faculty, alongside sessions on free and open-source software.
Industry–Institute Interaction
Coordinated expert lectures on cybersecurity and IoT, and led student industrial visits including UL Cyberpark, Kozhikode.
Professional Memberships
Indian Society for Technical Education (ISTE) and Institute of Electrical and Electronics Engineers (IEEE).
05

Get in Touch

Department of Computer Science & Engineering

College of Engineering Karunagappally
Thodiyoor P.O., Karunagappally
Kollam District, Kerala – 690523