P. Kardeepa
Computer Science & Engineering
Hello, I'm P.Kardeepa
Assistant Professor & UGC NET Qualified –
Specializing in Machine Learning, Embedded Systems with 5.5 years of teaching experience.
About My Journey
UGC NET Qualified Academic Professional –
I'm an Assistant Professor at Kalasalingam Academy of Research and Education with 5.5 years of teaching experience. Qualified National Eligibility Test (UGC NET) for Assistant Professor/Lectureship , demonstrating my academic excellence and commitment to higher education.
Areas of Expertise:
My research focuses on Machine Learning applications, With 5.5 years of teaching experience including roles at Anna University Trichy and current position at KARE, I bring academic excellence with practical teaching methodologies to guide students in computer science fundamentals and emerging technologies.
Educational Journey
Academic Qualifications & Professional Development
M.E. Pervasive Computing Technology
University College of Engineering (BIT CAMPUS), Anna University, Trichy. CGPA: 8.14. Advanced studies in pervasive computing and embedded systems.
01 \ MASTER'S DEGREE
B.E. Information Technology
Avinashilingam University for Women, Coimbatore. CGPA: 8.45. Strong foundation in information technology and computer science.
02 \ BACHELOR'S DEGREE
Professional Experience
Academic & Teaching Experience
Assistant Professor
Kalasalingam Academy of Research and Education
Teaching computer science courses, conducting research in ML , serving as Women Empowerment Cell Member and ACM-W Professional Member.
Teaching Fellow
Anna University, BIT Campus, Trichy (Faculty ID: 8100267)
Department of Computer Applications. Extensive teaching experience, project guidance for UG & PG students, and timetable coordination responsibilities.
Teaching Assistantship
Technical Education Quality Improvement Programme (TEQIP-II)
Selected by NPIU, New Delhi for Teaching Assistantship under Government of India's National Project Implementation Unit program.
UGC NET Qualified
National Eligibility Test for Assistant Professor/Lectureship
Qualified NTA UGC NET , demonstrating academic excellence and eligibility for higher education roles.
Professional Philosophy
"I believe in combining theoretical knowledge with practical hands-on experience to provide comprehensive learning. My approach emphasizes project-based learning in Machine Learning, encouraging innovation while building strong foundations in computer science fundamentals through systematic teaching methodologies."
Years Teaching
Research Publications
Book Publications
Research Contributions
Research in Machine Learning, spam detection with focus on practical implementations.
01 / RECENT PUBLICATIONS
Advanced ML & Neural Network Research
Extensive research in spam detection using Twitter data, Random Group Coupled Neural Networks for fake news detection, and brain tumor classification using CNN and Vision Transformers.
02 / BOOK PUBLICATIONS & INNOVATIONS
IoT & Embedded Systems
Author and co-author of significant publications on Embedded Systems & IoT, and comprehensive handbook on Machine Learning Techniques covering concepts and algorithms.
Recent Publications
IEEE Conferences (2023-2025)
• RGCNN: Fake News Detection
• Brain Tumor Detection using CNN & ViT
• Twitter Spam Detection
Professional Development
• ACM-W Student Chapter Member (Chapter ID: 180857)
• Women Empowerment Cell Member (2024-2025)
• NPTEL Certification (IoT )
Recognition & Awards
Testimonials from colleagues and collaborators
Prof. Department Head
HEAD OF DEPARTMENT, ANNA UNIVERSITY TRICHY
Ms. Kardeepa's dedication to teaching and research during her tenure as Teaching Fellow was exemplary. Her expertise in Machine Learning makes her a valuable asset to academic institutions.
UGC NET Qualified
Assistant Professor/Lectureship
9 Publications
IEEE conferences & journals
2 Book Publications
Embedded Systems & ML Handbook
ACM-W Member
Professional society membership
Contact Information
Get in touch for research collaborations and academic discussions
EMAIL –
kardeepa91@gmail.com
MOBILE –
+91 9787303000
INSTITUTION –
Kalasalingam Academy of Research and Education
Office Address
School of Computing
Kalasalingam Academy of Research and Education
Anand Nagar, Krishnankoil – 626 126
Tamil Nadu, India