Ph.D.: Pursuing
PG: M.Tech(CSE), JNTUH
UG: B.Tech(CSIT), JNTUH
Teaching Experience: 8 years
Research Experience: 1 year
Industry Experience: 1 year
Contact Number:
BVRITN Employee ID: 5085
JNTUH Registration ID: 21150404-162836
- Deep Learning
- Data Analytics
- Big Data Analytics
- Computer Organization & Architecture
- Operating Systems
- Microsoft Certified in “Software Development Fundamentals”
- EDUSKILLS Internship Certified Trainer for “Celonis Process Mining”
- Faculty mentor for NPTEL Course “Data Analytics with Python”
1. M. Venu, R. Udaykiran and R. Kiranmai, “A Robust Neural Network Classifier to Model theCompressive Strength of High Performance ConcreteUsing Feature Subset Selection”, Proceedings of ACM COMPUTE 2012, January 23-24, Pune, India.
2. R. Kiranmai, “An Efficient Extraction of Templates using MDL Principle”, proceedings of International Conference on Computing and Communication (ICICC 2015), February12 – 13, 2015, BVRIT, Narsapur.
3. Md. Shabbeer, R. Kiranmai and G. KranthiKiran, “Crucial Use of DBMS in E-Management”, International Journal of Advanced Engineering Research and Science (IJAERS), Vol. 3(12), 2016, pp. 1 – 4.
4. T.V.Sowmya, Aduri Ritesh kumar Reddy, Rohit janagama and Kiranmai Rage, “SMART GESTURE DETECTOR”, Journal of Information and Computational Science, Vol. 10 (5), 2020, pp. 222 – 224.
5. Sujatha Dandu, Kiranmai Rage, M Sundar Raj, Nilamadhab Mishra, D Sivakumar and S Mohan, “Practical Approach to the Defect Prediction Model for Software Testing” Journal of Nuclear
Energy Science & Power Generation Technology,Vol. 10 (9), 2021.
6. Kiranmai Rage, “A STUDY ON DIFFERENT DEEP LEARNING ARCHITECTURES ON IMAGE
CAPTIONING” 8th International Conference on Smart Structures and Systems(ICSSS), pp 1-9, 2022.
Introduction to Internet Of Things, July-October 2019, Elite.
1. As an Volunteer for Big Data Analytics, 2015 organized by Department of CSE, NIT Warangal on Dec 15-18, 2015.
2. FDP on “Machine Learning and Data Science with Practical Approach for Engineering Applications” from July 3-8, 2017.
3. FDP on “Python Programming with Industry Perspective” Organized by Electronics and ICT Academies from December 2-6, 2019.
4. FDP on “Deep Learning and Applications” Organized by Electronics and ICT Academies from December 9-13, 2019.
5. One week online Short Term Training Programme on “Deep Learning Applications in Cybersecurity for Engineering and Science” sponsored by All India Council for Technical Education (AICTE), New Delhi and organized by School of Computer Engineering and Technology (SCET), MIT Academy of Engineering, Alandi(D.), Pune from June 14-19 2021
6. International Short Term Training Programme (STTP) through ICT mode on ‘Advanced Applications in Artificial Intelligence and Machine Learning’ organized by Marathwada Mitra Mandal’s Institutions MMCOE and MMIT from August 2-6, 2021.
7. Faculty Development Programme on “Advancements in Security using Deep Learning” jointly organized by Department of Computer Science and Engineering of GMR Institute of Technology and Velagapudi Ramakrishna Siddhartha Engineering College from March 21-25, 2022.
8. ISTE Approved Online FDP Programme on “Federated Machine Learning: Concepts and Applications” by SRM Institute of Technology, Ramapuram, Chennai, Tamilnadu, June 6-11, 2022
9. One Week Virtual International Faculty Development Programme on “Smart Tools and Methodologies for Academic Research” by Mahatma Gandhi Institute of Technology, Hyderabad in association with Swecha during August 1-5, 2022.
