Dr sivakrishna kondaveeti
MLRIT, Koneru Lakshmaiah Education Foundation, KL Deemed to be University, Malla Reddy University
About
Dr. Sivakrishna Kondaveeti received the M.Tech. degree in digital
electronics and communication systems from the Department of
Electronics and Communication Engineering, affiliated to JNTUK
University, India, in 2012, and the Ph.D. degree in electronics and
communication engineering from Koneru Lakshmaiah Education
Foundation, India, in 2022. From 2009 to 2022, he worked as a Assistant
Professor, Junior Research Fellow, and Senior Research Fellows SERB and
ISRO Projects , and the Teaching and Research in KL University and Space Technology
and Atmospheric Research Laboratory (STAR) LAB. He is working as Associate Professor
in the Department of CSE-AIML and is currently in MLR Institute of Technology ,Dundigal, Hyderabad. His research interests include, global navigational satellite systems (GNSS), space science, and Machine learning ,Deep learning algorithms for global ionospheric TEC
maps.At present, his research is focused on CNN architectures for medical images and also
Machine learning/ Deep Learning for biomedical signals. He has published more than 31
SCIE/SCI/Scopus journal papers
Employment
-
MLRIT Associate Professor2024 - Present
-
Malla Reddy University Assistant Professor2022 - 2023
-
Koneru Lakshmaiah Education Foundation SRF
Education
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KL Deemed to be University P.hD2018 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (33)
- A Deep Learning Approach for Electric Vehicle Battery Capacity Degradation and Health Early Prediction of Battery Remaining Useful Life Save
- Automatic Classification of Atrial and Ventricular Arrhythmias Using Scaled Bidirectional LSTM Save
- LIGHTNING–METEOROLOGY RELATIONSHIPS OVER SRI LANKA AND INDONESIA: A MACHINE LEARNING APPROACH Save
- A Deep Learning With Optimization-Based Power Allocation for Network Slicing in MIMO–NOMA Save
- Cognitive load detection through EEG lead wise feature optimization and ensemble classification Save
- Real-Time Student Activity Detection and Incident Monitoring using Artificial Intelligence Save
- Analysis of differential code biases for GPS receivers over the Indian region Save
- Graph-Informed Neural Networks with Green Anaconda Optimization Algorithm Based on Automated Classification of Condition of Mental Health Using Alpha Band EEG Signal Save
- SMART PAVEMENT ENGINEERING INTEGRATION OF IOT AND SENSOR TECHNOLOGIES FOR ENHANCED PERFORMANCE MONITORING AND MAINTENANCE Save
- An improved NeQuick-G global ionospheric TEC model with a machine learning approach Save