Currently she is working as an Assistant Professor in the Department of CSE, SUIIT. She has done B.Tech & M.tech in the Computer Science and Engineering (CSE) from Sambalpur University Institute of Information Technology (SUIIT), Burla. Currently, She is pursuing Ph.D in the Department of Computer Science and Engineering at Veer Surendra Sai University of Technology (VSSUT), Burla. She has 1.5 year of experience in teaching. The main area of research include Image Processing, Machine Learning and Deep Learning.

Ms. Pritismita Babu is currently working as Assistant Professor in the department of Computer Science Engineering & Application, SUIIT. She has completed her B.E in Computer Science and Engineering from UCE , Burla (presently VSSUT, Burla) and M.Tech in Computer Science and Engineering from CET, Bhubaneswar(presently OUTR,Bhubaneswar) where she was a GATE scholar. She has 8+ years of experience in academics. Her specializations include Computer Organization, Computer Architecture, Operating System, Database Management System.

Shwetapadma Babu holds a M.Tech degree in Computer Science & Engineering from Veer Surendra Sai University of Technology(VSSUT), Burla. She has already worked as Guest faculty for 6 months in VSSUT,Burla. Now joined as Assistant Professor in Computer Science and Engineering in SUIIT. Her areas of interest include Online Scheduling, Artificial Intelligence, Machine learning and Database management.

Ms. Sudeshna Pattnaik is currently working as an assistant professor in the department of Computer Science Engineering & Application, SUIIT. She has completed her M.Tech in Computer Science and engineering from VSSUT, burla and now she is continuing her Ph.D. in VSSUT, Burla. She is 3years experienced in academics. Her research interest includes Image Processing, Computer Vision, Machine Learning, Deep Learning, Soft Computing and database.

Sushma Rath is an experienced Assistant Professor with over 10 years of teaching experience in Computer Science and Engineering. She is currently pursuing her Ph.D. in healthcare insurance fraud prediction using machine learning. She has expertise in subjects such as DBMS, Operating Systems, Data Mining, and others.