Kashyapa Kanti Sahu (Assistant Professor)
Computer Science and Applications(CSA)
Qualification: M.Tech(CS & IS ),MBA (Marketing and HR ), B.Tech (IT)
Email: kashyapa@gim.edu.in
He has around 12 years of teaching experience in the domain of Computer and Information Technology. He has completed M.Tech in Computer science & Information Security from KIIT University , Bhubaneswar, MBA (HR and Marketing) from College of IT and Management education, Bhubaneswar and B.Tech in IT from Raajdhani Engineering College, Bhubaneswar. He plays an instrumental role as SPOC of the SWAYAM-NPTEL local Chapter and COURSERA. His interest areas of teaching are Business Analytics, Cloud Computing, Python Programming, Computer Networks, Operating system, Software Engineering. He has attended many FDPs, Seminars and Workshops. He has presented paper title on “A Hybrid feature- selection Method based on mRMR and Binary Peacock Optimization Algorithm” in second IEEE international conference on Computational and Characterization Techniques in Engineering and Sciences.
Sunanda Senapati (Assistant Professor)
Ms.Sunanda Senapati
Assistant Professor
Computer Science and Applications (CSA)
Qualification: Ph.d continuing M.Tech(CSE)
Email: ssunanda@gim.edu.in
She has 12 years of teaching experience. She is currently continuing her Ph.D. from GIET University, Gunupur. Her research interest includes Machine Learning, Deep Learning, IOV, IoT, Wireless body area networks (WBAN), and Image security She holds master’s degree in Computer Science and Engineering from MIET in 2016 And bachelor’s degree in Computer Science and Engineering from Koustuv Institute of Self Domain. She has attended various different programs such as a faculty development program, seminar and workshop in national level.
Ms. Jayalaxmi Dash (Assistant Professor)
Computer Science & Applications (CSA)
Qualifications: Pursuing Ph.D. in Computer Science, SOA University, MCA, Utkal University
Email id: dashjayalaxmi@gim. edu.in
Ms.Jayalaxmi Dash brings over 8 years of teaching experience in the field of Computer
Applications. She has taught a variety of core and advanced subjects, with a special interest in data structures, algorithms, database systems, and software engineering. She is committed to academic excellence and student mentorship. Her research interests are Machine Learning and Data Analytics, Electronic Health Records (EHR) and Health Informatics, Software Engineering and System Design, Privacy-Preserving Machine Learning. She has presented and published papers in national and international conferences on machine learning applications and data- driven frameworks in healthcare. She has guided several undergraduate and postgraduate student projects, actively involved in curriculum development and departmental academic initiatives. She has participated in seminars and faculty development programs to stay updated with the latest teaching methodologies and technological advancements.
Er. Sthitaprajna Panda
Computer Science and Applications(CSA)
Qualification: M.Tech(CS ),MCA, A level from DOEAC, Education Hons. with Psychology at Ravenshaw University
Email: mprangya@gmail.com
She has around 15 years of teaching experience in the domain of Computer and Information Technology. She has completed M.Tech in Computer science from IMIT college CTC.MCA from North Odisha University, Baripada and A level from DOEACC, Delhi. She has attended many FDPs, Seminars and Workshops. She has her thesis (Research Analysis) on “Optimizing The Efficiency Of Clustering Using K-Mean”
Over a decade of expertise in teaching and mentoring students across a broad spectrum of technologies, including C, C++, HTML, CSS, Java, Python, PHP, DTS, RDBMS, MS Office and Al Proficient in breaking down complex concepts into comprehensible elements, creating an engaging and impactful learning experience Combines hands-on experience in ‘Real-World Project Development’ with a passion for integrating practical insights into teaching methodologies A strategic thinker and effective problem-solver, committed to addressing challenges with innovative solutions Thrives In collaborative environments, fostering teamwork and driving excellence in both academic and professional spheres.