Kishor Kumar Gajula
VIDWAN ID: 720079

Dr Kishor Kumar Gajula

Male Doctor of Philosophy
Associate Professor (Senior Grade) | Computer Sc. & Engg.
Mother Theresa College of Engineering & Technology
Telangana
Expertise: Computer Science Artificial Intelligence
27 Publications
0 Projects
0 Scopus Citations
9 CrossRef
3 Years 8 Months Total Experience
Publications
27 Total
Articles
24
Proceedings
3
Activity

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Scopus Scopus
0 Citations
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CrossRef CrossRef
9 Citations
1 h-index
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Professional Recognition

YOUNG RESEARCH AWARD
2023
SIPH
Best ATAL-FDP TRAINER
2024
MTEC
Best ATAL-FDP(ONLINE
2025
VGCE

Community & Membership

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International Association of Engineers
Life Member
Jan 2014
Association of Computing Machinery
Member
Jan 2015
CSTA
Member
Jan 2014
Universal Association of Computer and Electronics Engineers
Associate Member
Jan 2015
IACSIT
Member
Jan 2016

Personal Details

Doctor of Philosophy
2022
N/A
Associate Professor (Senior Grade)
Jan 2023 – Present
Mother Theresa College of Engineering & Technology | Computer Sc. & Engg.
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

Intelligent AI Systems and Advanced Machine Learning: Recent Advances and Real-World Applications

Open Access
Journal Article
Journal of Intelligent Decision Making and Information Science. Year: 2026. Volume: 3 , Issue: 7S , Pages: 1831-1845 .
Authors: Tiruveedula Gopi Krishna

Evolutionary approaches of Recommendation systems and ontologies in personalized information systems

Journal Article
Year: 2012.
Authors: Dr. Kishor Kumar Gajula

An Overview of Sentiment Analysis in Bigdata Environment

Journal Article

DEEP LEARNING IMAGE PROCESSING FOR IT PROFESSIONALS TO DETECTE STRESS

Journal Article
Year: 2023.
Authors: Dr. Kishor Kumar Gajula; Dr. DABBU MURALI

ResUNet-X: Next-Generation Residual U-Net for Accurate Cardiac Imaging

Conference Paper
Year: 2025.
Authors: T Rajani; Kishor Kumar Gajula; Mohammed Ali Shaik; Yerram Sneha; Ashok Kumar Vootla; Kokkula Shiva Prasad

ADVANCED STRESS LEVEL FORECASTING USING QUANTILEOPTIMIZED REGRESSION FOREST MODELS

Open Access
Journal Article
Year: 2025. Volume: 21 , Issue: 4(1) , Pages: 1-7 .
Authors: Dr. KISHOR KUMAR GAJULA

Comprehensive and Empirical Evaluation of Classical Annealing and Simulated Quantum Annealing in Approximation of Global Optima for Discrete Optimization Problems

Conference Paper
Year: 2022. Pages: 165-181 .
Authors: Srinivasan, M.K.; Gajula, K.K.

Blockchain-Based Secure Data Sharing in Vehicle Social Networks

Journal Article
Year: 2022.
Authors: Gajula, KK
Showing 1 to 8 of 27 publications