Kamalapuram Khaja Baseer

Associate Professor, Computer science engineering, GST, BLR

kkamalap@gitam.edu | | | |

Dr. K. K. Baseer obtained his B. Tech and M. Tech degrees in Computer Science and Engineering from JNTUH, Hyderabad and Ph.D. degree from JNTUA University, Ananthapuramu, India. At present working as Associate Professor in department of CSE, GITAM School of GITAM School of Technology, GITAM (Deemed to be University), Bengaluru, Karnataka, INDIA. He has more than 15 years of experience in both teaching and industry in the area of Computer Science and Engineering.

Research Publications
  • “VisiSense: A Comprehensive IOT-based Assistive Technology System for Enhanced Navigation Support for the Visually Impaired”, Scalable Computing: Practice and Experience, Vol. 25 No. 2 (2024), pp. 1134-1151, ISSN 1895-1767. https://doi.org/10.12694/scpe.v25i2.2619
  • “Healthcare diagnostics with an adaptive deep learning model integrated with the Internet of medical Things (IoMT) for predicting heart disease”, Biomedical Signal Processing and Control, Volume 92, 2024, 105988, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2024.105988.
  • “Development of improved reinforcement learning smart charging strategy for electric vehicle fleet”, Journal of Energy Storage, Volume 64 (2023), 01 August 2023, https://doi.org/10.1016/j.est.2023.106987
  • “FPYM: Development and Application of a Fuzzy based Poka-Yoke Model for the Improvement of Software Performance”, Inder Science- International Journal of Innovative Computing and Applications, Volume 8, No. 2, June, 2017, pp. 65-80, DOI: 10.1504/IJICA.2017.10005901
  • . “Joint Data Integrity and Loss Recovery Mechanism for Secure Storage in Cloud Computing”. International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 2, Dec. 2023, pp. 800-9, ISSN: 2147-6799, https://ijisae.org/index.php/IJISAE/article/view/4331
Authored Books
  • 1. Machine Learning Mastery: Algorithms, Applications and Insights, Xoffencer International Publication, 14 August 2023, ISBN-13: 978-81-19534-14-2, https://doi.org/10.5281/zenodo.8271941
  • 2. Fuzzy and Poka-Yoke in SDLC: A Monitoring Tool for Mistake-Proofing Quality Software, Lambert Academic Publishing, ISBN: 978-3-330-02257- 7, https://www.lap-publishing.com/catalog/details/store/gb/book/978-3-330-02257-7/fuzzy-and-poka-yoke-in-sdlc, ISBN-13: 978-3-330-02257-7, pages: 1-168, 2018-09-26
Expertise
  • IoT Analytics
  • Cloud Computing
  • Software Engineering
  • Machine Learning
  • Big Data Analytics
Kamalapuram Khaja Baseer