Padma Prasada

About

Padma Prasada, M.Tech., Ph.D. is an accomplished academician and researcher in the field of Artificial Intelligence and Data Science, currently serving as an Assistant Professor at SDMIT, Ujire. With over a decade of teaching and research experience, his expertise spans embedded systems, natural language processing, and low-resource language translation using deep learning models. He is currently pursuing his Ph.D. at Jain University, Bengaluru, with a focus on hybrid deep learning models for machine translation. Padma holds an M.Tech. in Embedded Systems and VLSI Design and a B.E. in Electronics and Communication Engineering. He has authored numerous research papers in reputed journals and conferences, and holds multiple patents, including a granted Indian patent and a registered German utility model. His work has received support from organizations such as the DST and K-Tech. Beyond academics, he has played key roles as a technical program committee member, advisory board member, and reviewer for international conferences and journals. He has also guided several innovative student projects that received national-level recognition. With his strong blend of research acumen and academic leadership, Padma continues to contribute significantly to the advancement of AI and interdisciplinary technologies.

Employment

Employment history is unavailable.

Education

• Jain University PhD
  2022 - 2026

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Hybrid CNN-Transformer Framework for Accurate and Interpretable Kidney Cancer Detection
  2025 IEEE International Conference on Emerging Trends in Computing and Communication Etcom 2025 2025 DOI: 10.1109/ETCOM66606.2025.11437132
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• Hybrid LETCNN-P Transformer Architecture for Enhanced Translation of Low-Resource Languages
  IAENG International Journal of Computer Science 2025
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• Multimodal Coherence-Correlation Fusion of EEG and ECoG Signals for Enhanced Epileptic Seizure Detection Using Discrete Lyapunov Wavelet Transform
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3608806
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• Natural Language Processing: Innovations, Recent Trends and Challenges
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-69115-7_10
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• Neural Machine Translation in Low-Resource Context: Survey
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-69115-7_11
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• Reinforcement of low-resource language translation with neural machine translation and backtranslation synergies
  IAES International Journal of Artificial Intelligence 2024 DOI: 10.11591/ijai.v13.i3.pp3478-3488
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• Novel Approach in IoT-Based Smart Road with Traffic Decongestion Strategy for Smart Cities
  Lecture Notes in Electrical Engineering 2020 DOI: 10.1007/978-981-15-0626-0_16
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• FPGA Implementation of Parallel Transformative Approach in AES Algorithm
  Lecture Notes in Networks and Systems 2019 DOI: 10.1007/978-981-13-0586-3_34
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• 90nm node 1t floating gate embedded flash memory with precharge nmos transistor
  ACM International Conference Proceeding Series 2016 DOI: 10.1145/2905055.2905255
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• Design and implementation of an embedded system to detect military fratricide crisis
  1st International Conference on Emerging Trends in Engineering, Technology and Science, ICETETS 2016 - Proceedings 2016 DOI: 10.1109/ICETETS.2016.7603028
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