Bittu Kumar
Also known as: Bittu
MLR Institute of Technology, Osmania University, Indian Institute of Technology (Indian School of Mines), Dhanbad, Synergy Institute of Engineering and Technology
About
Dr. Bittu Kumar is working as an Assistant Professor in ECE Dept. at K L University Hyderabad, India. From July 2022 to June 2023, He worked as an Assistant Professor in the ECE Dept. at MLR Institute of Technology, Hyderabad, since July 2022. He worked as a Research Associate (PostDoc) from July 2020 to April 2022, in the ISRO-Sponsored RESPOND Project “Speech Technologies for Humanoid” at the Research and Training Unit for Navigational Electronics (NERTU), Osmania University, Hyderabad. He has completed Ph.D degree under the supervision of Prof. Subrata Bhattacharya at the Department of Electronics Engineering, Indian Institute of Technology (ISM), Dhanbad. He received a Bachelor Degree in Electronics & Tele-Communication Engineering from the Biju Patnaik University of Technology, Odisha, in 2011. His aims contribute to the development of Science and Technology. He believes that improvement in science and technology can lead to a better country and a peaceful society. He is a professional member of many international organizations such as IETE, IEEE, IAENG, IETI etc.
Employment
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MLR Institute of Technology Assistant Professor2022 - 2023
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Osmania University Research Associate Under ISRO Sponsored RESPOND Project2020 - 2022
Education
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Indian Institute of Technology (Indian School of Mines), Dhanbad Ph.D (P)2013 - 2021
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Synergy Institute of Engineering and Technology B.Tech2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (59)
- Analysis of TIMNET Emotional Modeling Approach in Noisy Environment Save
- Truth Table-Based Encoded QR Codes for Multiple Accessing System Save
- Analysis of Image-Based Handwriting System in Noisy Environments Save
- OTFS: A Review on High-Mobility Modulation Scheme for 6G or Beyond Save
- Performance Investigation on Panoramic Image Stitching Techniques Save
- Performance Analysis of Word Recognition System Using Tensor Flow Save
- Implementation of CNN-Based Word Recognition System Save
- Musical Beat Recognition using Machine Learning Save
- Evaluation of ML-based Breast cancer diagnosis using AWS SageMaker Save
- Comparative Analysis of Different Operational Logic Gates for Cutting-Edge Technology Save