0000-0003-3262-6350 About
Dr. S Rahamat Basha is working as Professor in the Department of CSE, St. Peter's Engineering College, Hyderabad, Telangana, India. He has 19+ years of Experience. He is completed Ph.D from Sri Krishnadevarayala University , Anatapuramu, Andhra Pradesh, India. He completed his M.Tech in CSE from Jawaharlal Nehru Technological University, Hyderabad and He completed his B.Tech from Acharya Nagarjuna University, Andhra Pradesh, India. His area of interest includes Artificial Intelligence, Machine learning, Text Mining, web Mining, Bigdata, Image analysis, Image Processing. He is membership of various professional bodies like IEEE, IRED, IAENG and 3 Awards. He has published nearly 30 articles in refereed and indexed web of science and Scopus journals and book chapters and presented over 10 papers in international conferences in above field and reviewer of various Web of Science journals including IEEE Access, IEEE Transactions on Computational Social Systems, Engineering, Technology & Applied Science Research, Journal of Intelligent Systems etc. He has 1 UK Design Patent, 1 Indian Design Patent, 4 patents in his name published under Indian Patent Rights and got 1 seminar grant from SERB in 2023.
Employment
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St. Peter's Engineering College Associate Professor2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- An explainable, uncertainty-aware ensemble soft-sensor for real-time dissolved oxygen estimation in rivers from routine in-situ monitoring streams Save
- Explainable Machine Learning for Compressive Stress Prediction in Cement-Based Construction Materials: A Systematic Benchmarking and SHAP Interpretability Study Save
- DETERMINATION OF FRACTURE TOUGHNESS OF MILD STEEL UNDER MIXED-MODE CONDITIONS USING EXPERIMENTAL FINITE ELEMENT ANALYSIS Save
- Optimization of Quantum Dilated Convolutional Neural Networks: Image Recognition With Quantum Computing Save
- Chromatic Diagnostics: Enhancing Paddy Disease Detection with Filter-Based Feature Transformation Save
- Utilizing Deep Convolutional Neural Network and Local Binary Pattern Fusion for Plant Leaf Disease Identification: An Integrated Approach Save
- A Novel Hybrid Algorithm for Enhanced Re-Ranking Optimal Web Page Classification Save
- Implementation of Reliability Antecedent Forwarding Technique Using Straddling Path Recovery in Manet Save
- An Experimental Investigation of PCA-Based Intrusion Detection Approach Utilizing Machine Learning Algorithms Save
- Feature Extraction for Software Defect Detection Utilizing Neural Network with Random Forest Save