Computer Science Department
ABOUT THE DEPARTMENT
The Department of B.Sc(Computer Science) was established in the year 1994. As per the University rules the total intake of this department is 100 students. Every batch of students has been successful in academic and co-curricular activities. Our department has dedicated staff members who are experienced in the field of computer technology and information security. The department has infrastructure to offer quality education and training. To Train and equip the students to meet the requirement of the software Industries, Banking and Government Sectors. To develop skills in software development with security measures so as to enable the students to take up employment in Home & global market. To provide a strong foundation to pursue Post Graduation Programme in Computer Science. The department itself sustained with the well equipped computer laboratories with internet facilities, LCD seminar hall, Software, Volumes of books, e-books, IEEE, Science Direct, Computer Journals subscribed. The computer center is well-equipped with all modern facilities. It houses 2 servers one with windows 2012-R2 server and red hat enterprise Linux 6 server, 1 backup server and 146 computers in windows 07 with client-server architecture.
Vision & Mission
To students are provided with best learning experience and smart learning atmosphere to enrich computer education for rural students. Through enhancing knowledge and building confidence in them to face global competitions. Pursue their career by solving problems using various methodologies. Lead their career with excellent application or security level programming skills.
Enabling the students to face corporate world with credence, they are tuned with the human values and soft skills. Rendering the skills of the students in various fields like creative ideas, problem solving skills, leadership qualities, team spirit and ethical responsibilities, the Department conducts various programs etc., The department encourages participations in Co-Curricular and Extra-curricular activities to bring out the talents of students.
Faculty
SIBI ABRAHAM
Head & Assistant Professor
Email Id : sibimiet@gmail.com
Mobile : 9443247377
Research
Major Research Area
- Artificial Intelligence & Neural Network
- Bioinformatics
- Bigdata Analytics
- Data Mining
- Machine Learning & Deep Learning
- Image Processing
- Wireless Networking
- Parallel Processing
- Cloud Computing
| S.No | Name | Designation | Status |
Area of Research |
| 1. | Mr.P.Umasankar | Assistant Professor | Thesis Submitted | Data Mining |
| 2. | Mr.M.Raja Mohammed | Assistant Professor | Confirmation Completed | Big Data |
INTERNATIONAL CONFERENCE
| Sibi Abraham | International Conference on Cyber Security and E-Governance (on 14-Sep-2018) at Kodaikanal Christian College, Kodaikanal. |
| M.Raja Mohammed | International Conference on Cyber Security and E-Governance (on 14-Sep-2018) at Kodaikanal Christian College, Kodaikanal. |
| M.Raja Mohammed | International Conference on Cyber Security and E-Governance (on 14-Sep-2018) at Kodaikanal Christian College, Kodaikanal. |
| M.Raja Mohammed | One Day International Seminar on Research Concepts in Big Data Analytics and Internet of Things (on 20th of March 2018) at School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy. |
| M.Raja Mohammed | Advance Mathematics & Algorithms in International Conference on Internet of Things (on 15-Sep-2017)at Kodaikanal Christian College, Kodaikanal. |
NATIONAL CONFERENCE
| P.Umasankar | Advanced Computing at JMC, Trichy on 15th March 2017 |
| P.Umasankar | State level Seminar on Recent trends in IT, Bharathidaasan University. |
| Sibi Abraham | Frontier Research Areas in Computer Science at Bharathidasan University. |
| Sibi Abraham | Advanced Computing held at Jamal Mohamed College. |
| A.Roghya Parveen | Robotics In Aiman Arts & Science College, Trichy |
| M.Raja Mohammed | Big Data Analytics through Cloud Computing (on 22-Feb-2019) at Loyola College, Chennai. |
| M.Raja Mohammed | Android Application Development (on 27 & 28-March-2017) organized by Robokart in association with Innovation cell UMIC, IIT Bombay at Kodaikanal Christian College, Kodaikanal. |
| M.Raja Mohammed | ESSENTIAL TOOLSFOR QUALITY RESEARCH (on 11 may 2016)at Sri Venkateshwara Group of Institutions, Coimbatore. |
| M.Raja Mohammed | RESEARCH METHODOLOGY (WEKA & MATLAB) (on 2 & 3-Mar-2014)at Jamal Mohammed College, Trichy. |
| M.Raja Mohammed | National Conference on Emerging Trends on Network Security (on 18-Sep-2013)at Kodaikanal Christian College, Kodaikanal. |
| M.Raja Mohammed | National Conference on Global Networking (on 20-Sep-2008)at Kodaikanal Christian College, Kodaikanal. |
JOURNALS
|
Journals |
|
| P.Umasankar | “Literature view on Vague Set Theory in different Domains”, International journal on Recent & Innovation Trends in Computing and Communication, Volume:5, Issue :7, PP 337-341,2017. Indexing: Google Scholar. |
| P.Umasankar | “Decision Support System for Heart Disease Diagnosis Interval Vague Set and Fuzzy Association Rule Mining”, International Conference on Devices, Circuits and System(ICDCS), PP 223-227,2018. Indexing: IEEE, Scopus, Google Scholar. |
| P.Umasankar | “A Novel thrice filtered information energy based particle Swarm feature selection for the Heart Disease Diagnosis”, International journal on Pure and applies Mathematics, Volume:119, No-15 2018, PP 3485-3499. Indexing: Scopus, Google Scholar. |
| P.Umasankar | “Data Mining for the Prediction of Heart Disease: A Literature Survey”, Asian Journal of Computer Science and Technology, Volume:No.1, 2019, PP 1-16. Indexing: UGC Approved, Google Scholar. |
| P.Umasankar | “Thrice Filtered Information Energy based Particle Swarm Feature Selection (TFIE-PSFS) method based Artificial Neural Network Classification for Improving Heart Diagnosis”, Asian Journal of Engineering & Applied Technology, Volume:8 No.1, 2019, PP 1-8. Indexing: UGC Approved, Google Scholar. |
| P.Umasankar | “Mapper Association Rule Reducer Mining Method (MAARMM) for the Diagnosis of Heart Disease using Hesitation Rule Set”, Asian Journal of Electrical Sciences, Volume:8 No.1, 2019, PP 15-19. Indexing: UGC Approved |
| P.Umasankar | “Data Mining for the Prediction of Heart Disease: A Literature Survey”, International Journal of Engineering & Technology(UAE), Special issue on Artificial Intelligence, Big Data and Machine Learning(Accepted), 2019, Indexing: Scopus. |
| P.Umasankar | “Decision Support System for the Classification of Heart Disease using Data mining Techniques”, Proceeding of the International Conference on trends in Technology and Engineering, April 2019, PP 60-66. |
| P.Umasankar | “Decision Making with Correlation rule mining for vague data sets”, International Journals of Information Science and Intelligent Systems. |
| P.Umasankar | “Mining correlation rules for Multiple Attribute Group Decision making”,, Scopus Indexed, International Journal of Applied Engineering and Research. |
| P.Umasankar | “Mining correlation rules for interval vague sets”- International Journal of Engineering and Computer Science. |
| P.Umasankar | “Mining MAGDM problems with triangular vague sets”-International Journal of Scientific and Research publication. |
| A.Roghya Parveen | “Comparative study on android and tizen”, International Journal of Advances in Engineering and Emerging Technology”, Dec2013 |