Assistant Professor |
M.Tech: CSE, KAKINADA INSTITUTE OF TECHNOLOGY & SCIENCE, JNTU, Kakinada 2014.
B.Tech: CSE, Pragati Engineering College, Surampalem, JNTUK, Kakinada, 2008.
Teaching Experience: 08 Years
SVECW Employee ID: 1256
AICTE Registration ID: 1-2915557278
- Cloud Computing
- Network Security
- Participated in Five Days Faculty Development Program on “Cloud Infrastructure (AWS)” Organized by AISSMS Institute of Information Technology, PUNE, Andhra Pradesh from 21-08-2023 to 25-08-2023.
- Participated & completed AICTE Training And Learning (ATAL) Academy Five Days Faculty Development Program on Design Thinking and Prototyping for Industry 4.0 at SHRI VISHNUENGINEERING COLLEGE FOR WOMEN from 20/11/2023 to 25/11/2023.
- Participated in One Week Faculty Development Program on “LATEX” Organized by Dept of CSE and CSBS, VNRVJIET in collaboration with CSI VNRVJIET SBC from 04-04-2023 to 09-04-2023.
- Successfully completed the course requirements for Faculty Development Program on Large Language Models in artificial Intelligence from 04 Oct 2023 – 07 Oct 2023 jointly conducted by Andhra Pradesh Information Technology Academy, a Unit of Department of IT & ES, Government of Andhra Pradesh and Blackbuck Engineers Pvt Ltd.
- One Week Faculty Development Programme on “Mathematical Modelling for Data Science” (19th to 24th June, 2023) Organized by Department of CSE – (Cys, DS) and AI & DS In collaboration with Department of CSE (AIML & IoT) VNR Vignana Jyothi Institute of Engineering and Technology
- Attended the Five-Day Faculty Development Program on “Power of Visualization in Analytics” organized by the Departments of IT, CSE, CSE(AI&ML), BVRIT HYDERABAD College of Engineering for Women, during 16 Aug – 21 Aug, 2023.
- Achieved as NPTEL “Successfully Completed” Certificate on “Internet of Things (8 Weeks) Course” in the July-Dec 2020, Conducted by IIT Kharagpur
- Chandra Sekhar Kolli, Dr.D.Venkata Naga Raju, V.Pavan Kumar, D.Srinivasa Rao, P. Vinay, G A K S Rajeev Kumar, Exploring The Potential of Federated Learning to Empower Credit card Fraudulent Transaction Detection with Deep learning Techniques Doi:10.24874/Pes.Si.24.03.008
- Underwater Image Quality Enhancement using Multiscale Image Fusion Kolli, Chandra Sekhar and Kumar, G. A. K. S. Rajeev and Maddila, Conference Paper Proceedings of the 2023 2nd International Conference (Scopus Indexed ) on Augmented Intelligence and Sustainable Systems, ICAISS2023, Year 2023, Pages 1064-1070 DOI:10.1109/ICAISS58487.2023.10250695
