Dr Selvarajan Sellappan
Dean
SHREE SATHYAM COLLEGE OF ENGINEERING AND TECHNOLOGY, SALEM
Tamil Nadu
Expertise:
Computer Science Theory and Methods
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35 Years 7 Months Total Experience
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Professional Recognition
BEST PhD THESIS
2011
Pentagram Research Centre(P) Limited , India
Community & Membership
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INDIAN SOCIETY FOR TECHNICAL EDUCATION
FELLOWPersonal Details
Doctor of Philosophy
2009
N/A
Master of Engineering
2002
Sacred Heart College, Thevara- 682013
Master of Surgery
1997
N/A
Bachelor of Engineering
1989
N/A
Dean
Mar 2022 – Present
SHREE SATHYAM COLLEGE OF ENGINEERING AND TECHNOLOGY, SALEM
Dean
Jun 2018 – Sep 2021
Vivekanandha College of Engineering for Women
Professor
Jun 2018 – May 2019
SRI SHANMUGHA COLLEGE OF ENGINEERING AND TECHNOLOGY, SALEM
Principal
Sep 2011 – May 2018
Muthayammal College of Engineering
Dean
Jul 2009 – Aug 2011
Muthayammal Engineering College
| Department of Computer Science and Engineering
Dean
Jun 2008 – Jun 2009
Paavai Engineering College
Assistant Professor
Jun 2006 – May 2008
Sri Ramakrishna Engineering College
Head of the Department
Apr 2002 – May 2006
Muthayammal Engineering College
| Department of Computer Science and Engineering
Head of the Department
Nov 1998 – Mar 2002
Mahendra Engineering College
| Department of Computer Science and Engineering
Lecturer
Jul 1992 – Oct 1998
VINAYAKA MISSIONs RESEARCH FOUNDATION, SALEM
Lecturer
Jul 1990 – Apr 1992
Kongu Engineering College
Engineering and Technology
Scholarly Work
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MODIFIED ARTIFICIAL BEE COLONY ALGORITHM TO IMPROVE THE COMPUTER AIDED DIAGNOSIS OF DISC HERNIATION
IMAGE SEGMENTATION, CLASSIFICATION AND OBJECT IDENTIFICATION USING EUCLIDEAN SHAPES AND LEARNABLE EVOLUTIONARY MODEL
AN OPTIMIZED CLUSTERING TECHNIQUE FOR HIGHER DIMENTIONAL DATA
ROBUST MULTIMODAL BIOMETRIC RECOGNITION SYSTEM USING HAND GEOMETRY AND IRIS FEATURES
DETECTING THE STAGES OF DIABETIC RETINOPATHY IN FUNDUS IMAGES USING ENHANCED FUZZYSUPPORT SVM
IDENTIFICATION AND CLASSIFICATION OF MOVING OBJECTS ON INDIAN ROADS USING IMAGE PROCESSING
EFFICIENT CLUSTERING TECHNIQUE FOR FEATURE SELECTION IN CANCER GENE DATA
PREDICTION AND CATERIZATION OF OVARIAN CANCER FROM BIG DATA USING DATA MINING TECHNIQUES
LIVER TUMOR CLASSIFICATION USING PRAGMATIC NEURAL NETWORKS FOR HEALTH CARE APPLICATIONS
ELECTROCORTICOGRAPHY BASED BRAIN COMPUTER INTERFACE WITH A METAHEURISTIC ALGORITHM
FEATURE SELECTION BASED ON HEURISTIC OPTIMIZATION TECHNIQUES FOR MAMMOGRAM IMAGE CLASSIFICATION
MULTI-OBJECTIVE DATA CLUSTERING APPROACH BASED ON CUCKOO SEARCH(CS) AND PARTICLE OPTIMIZATION(PSO
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