Karunya Institute of Technology and Sciences School of Computer Science & Engineering Admission 2024, Check Marking Scheme, Merit List, Scholarship Details

Karunya Institute of Technology and Sciences
Coimbatore, Tamil Nadu, India
Karunya Nagar, Coimbatore - 641 114, Tamil Nadu, India
641114
+91 422 2363636
info@karunya.edu
https://www.karunya.edu
About Us

Karunya Institute of Technology and Sciences, was founded with the noble vision to raise professionals and leaders of high academic calibre and unblemished character, nurtured with a strong motivation and commitment to serve humanity. The institution is the fulfillment of the vision of its founders Late Dr. D. G. S. Dhinakaran and the present Chancellor Dr. Paul Dhinakaran. Established in 1986 as an Engineering College, it was granted an autonomous status in 1999 and declared Deemed-to-be University by the University Grants Commission (UGC) in recognition of its academic excellence by the Ministry of Human Resources Development under section 3 of the UGC Act, 1956 vide notification no 9-3-2000-U3 dated 23.6.2004 of the Government of India. Accredited by NAAC, the institution offers a wide array of Bachelors, Masters and Doctoral Degree programmes in various branches of Engineering, Biotechnology, Food processing and Agricultural Sciences. From a humble beginning of 180 students, the institution has rapidly grown to 8491 students and 452 faculty representing 18 academic departments.

Title in Computer Science & Engineering Karunya Institute of Technology and Sciences

# Title Researcher Guide(s)
1 Novel service selection frameworks for pervasive environment and its analysis in health care and social network services Salaja S Dr. Kirubakaran Ezra
2 Detection and elimination of duplicate data using token-based method for a data warehouse: a clustering based approach Jebamalar Tamilselvi J Dr. Saravanan V
3 A comprehensive disease specific protein ligand binding database (DS-PLBD) Ponmary Pushpa Latha D Dr. Jeya Sundara Sharmila D
4 Design and development of an automated data mining system for object oriented data - a software agent based approach Rajan J Dr. Saravanan V
5 Novel stable clustering protocols in mobile ad hoc networks using analytical process methodology Sharmila J Dr. Elijah Blessing R
6 An efficient distributed and parallel data mining approach for improved response time with dynamic remote memory utilization using intelligent agents Paul, Sujni Dr. Saravanan V
7 Face Recognition System in Compressed Domain Applying Wavelet Transform and Feature Vector Optimization Menila James Dr. Arockiasamy S
8 Three Dimension Matchmaking Models for Resource Allocation in GRID Environment Japhynth J Dr. Elijah Blessing R
9 Certificate less multifactor authentication schemes for secure grid environment Jaspher Willsie Kathrine, G Dr. Kirubakaran, E and Blessing, R Elijah
10 Performance analysis of transform based medical image compression methods for telemedicine applications Sujitha Juliet, D Dr. Kirubakaran, E and Elijah Blessing, R
11 Preprocessing techniques for continuous attributes to improve the performance of the classifier Blessie, E Chandra Dr. Karthikeyan, E and Thangaiah, P Ranjit Jeba
12 Enhanced Approaches for Mass Detection and Classification in Digital Mamograms Anitha. J Dr. Dinesh Peter. J
13 Optic Nerve Head Segmentation for Early Diagnosis of Glaucoma Caroline Viola Stella Mary. M Dr. Elijah Blessing. R
14 Energy Conservation Techniques for Distributed Clustered Wireless Sensor Network Anita Sofia. V.S Dr. Arockiasamy . S
15 A Quantified Hybrid Software Development Model Integrating Lean Six Sigma and Agile Principles Vinod. V Dr. Radhamani. G
16 Detection and Mitigation Protocols for Collaborative Flooding Attacks in Wireless Mesh Networks Diana Jeba Jingle. I Dr. Elijah Blessing. R
17 Investigations on Performance of Time Series Trust Model for Wireless Sensor Networks Edwin Prem Kumar. G Dr. Baskaran. K and Elijah Blessing. R
18 Effective Fault Tolerant Scheduling Techniques for Computational Grid Shamila Ebenezer. A Dr. Baskaran. K and Elijah Blessing. R
19 Learning based Single Image Super Resolution Algorithms for Low Resolution Retinal Images Jebaveerasingh. J Dr. Dinesh Peter. J

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