ST
Dr. Srinivasarao Thota
Also known as: S Thota
Amrita Vishwa Vidyapeetham Amrita School of Engineering, SR University, Motilal Nehru National Institute of Technology, Indian Institute of Technology Madras, Adama Science and Technology University
About
I was born and brought up in Andhra Pradesh. I studied in Andhra Pradesh till B.Sc. and then moved to Chennai (Tamil Nadu) and Allahabad (Uttar Pradesh) for the higher studies. Presently, I am working as Associate Professor at Department of Mathematics, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, India.
Employment
-
Amrita Vishwa Vidyapeetham Amrita School of Engineering Associate Professor2023 - Present
-
SR University Associate Professor2021 - 2023
-
Adama Science and Technology University Assistant Professor2018 - 2021
-
Presidency University Assistant Professor2017 - 2018
-
Shoolini University Assistant Professor2010 - 2013
-
Aditya Group of Institutions Faculty of Mathematics2008 - 2010
Education
-
Motilal Nehru National Institute of Technology PhD2011 - 2017
-
Indian Institute of Technology Madras M.Sc.2005 - 2007
-
Andhra Loyola College B.Sc.2002 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (119)
- Advances in explainable artificial intelligence evaluation and ethics from 2023 to 2025 Save
- Integrative approaches for sustainable and resilient water–food systems under climate and socio-economic pressures Save
- A hybrid framework for pill identification using convolutional neural networks and optical character recognition Save
- Optimized fetal head circumference estimation in 2D ultrasound using EfficientNet-B7 and Adam optimizer Save
- Quantum-Enhanced Fractional Modeling of Zombie Infection Dynamics Using Hybrid Quantum Algorithms Save
- A New Optimal Two-Step Root-Finding Algorithm Using Exponential Method Save
- A NOVEL THREE-STEP ROOT-FINDING METHOD FOR SOLVING NONLINEAR EQUATIONS Save
- DeiTFake: Deepfake detection model using DeiT multi-stage training Save
- Integrative framework for cancer detection via integro-differential equations using deep learning techniques Save
- From Motion to Prevention: A TimeGAN‐Enhanced Hybrid BiLSTM‐CNN‐Attention Model for Predicting Falls and Preventive Interventions Save