Jharsuguda Engineering School

The Department of " Information Technology " concerned with the theory, design, development and application of computer systems and information processing techniques. The department possesses 4 well-equipped labs that provide excellent facilities for teaching, learning and research activities. Computer laboratory equipment are constantly upgraded to the latest configurations. The department is equipped with two leased line and one broadband Internet connectivity of 40 MBPS to facilitate the students and faculty members to cope with the highly demanding Internet era. Also the department manages an internet lab, one server room dedicated for the department as well as the IT infrastructure and service of the entire institute. The student staff ratio is maintained at 15:1 so as to have effective academic activities. All our faculty members are determined, hard working, student friendly, disciplined and possess good attitude with high moral character.

Mrs. Anitarani Brahma currently heads the IT department.

FACULTIES

FACULTY DETAILS OF IT DEPARTMENTS

NAME	MAIL ID	DESIGNATION WITH QUALIFICATION	PUBLICATION IF ANY	MEMBERSHIP IF ANY	PHOTO
MRS ANITARANI BRAHMA	brahmaanita00@gmail.com	Senior Lecturer I/C, IT M.Tech, IT	Brahma, A., & Panigrahi, S. (2015), A New Approach to intrusion detection in databases using artificial neuro fuzzy inference system. International Journal of Reasoning-based Intelligent System, Vol. 7(3/4), pp. 254-260. Brahma, A., & Panigrahi, S. (2015), A novel Approrach to Database Intrusion Detection Using Support Vector Machine with Fuzzy Clustering. International Journal of Engineering Science Invention, ISSN (online):2319-6734, ISSN(Print):2319-6726, pp:17-24, 2017. Brahma, A., & Panigrahi S. (2018) , Database Intrusion Detection Using Adaptive Resonance Network Theory Model,5th International Conference on International Conference in Computational Intelligence In Data Mining 2018.(ICCIDM 2018) , VSSUT, Burla, Odisha. Brahma, A., & Panigrahi S., Role of Soft Outlier Analysis in Database Intrusion Detection, Accepted in 3rd International Conference on Advanced Computing and Intelligent Engineering 2018. (ICACIE 2018) , SOA University, Bhubaneswar. Brahma, A., & Panigrahi, " Database Intrusion Detection Using Genetic Support Vector Fuzzy Clustering Learning Model" , Journal of Artificial Intelligence Research & Advances, essn 2395-6790, V0l. 6(2), 2019.	Registered ISTE member
SRI SANKAR PRADHAN	shankarprasad.pradhan01@gmail.com	Laboratory Instructor ITI,ETC
MISS ALIBHA BABA	Alibha.baba78@gmail.com	Laboratory Assistant Diploma,IT
SRI DURGA PRASAD KANUNGO	email2durga@gmail.com	Laboratory Assistant MCA