Personal profile
Professional Information
Dr. Madhushankara M is a committed academician with over 15 years of experience at the leading postgraduate engineering institution, specializing in VLSI Design, Embedded Systems, and Biomedical Instrumentation. His research primarily focuses on the design and development of assistive speech devices, particularly electrolarynx systems, resulting in several funded projects supported by the Department of Science and Technology (DST), Government of India, and Manipal Academy of Higher Education (MAHE). He has successfully led projects on low-power miniaturized and wearable electrolarynx prototypes aimed at improving speech rehabilitation technologies. Dr. Madhushankar is proficient in state-of-the-art industry-standard design and verification tools including hardware description languages.
Research Interests
Low-power biomedical device design, hardware architectures for machine learning, System on Chip, neuromorphic hardware.
Experience
Awards and Recognition:
A patent granted and 2 more under consideration on wearable electrolarynx
External positions
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Collaborations and top research areas from the last five years
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Delay and Power Analysis of ALU with 180, 90, and 45 nm Technologies
Karapothula, R. G., Motheesh, J., Deekshith, T., Madhushankara, M. & Mathew, R., 2026, Proceedings of the 4th International Conference on Signal and Data Processing, ICSDP 2024. Guha, D., Adhikari, D., Suresh, M., De, S. & Sivasankaran, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 13-21 9 p. (Lecture Notes in Electrical Engineering; vol. 1470 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Design, Verification, and Implementation of AHB5 Compliant 8 k Memory for High-Performance Embedded Systems
Pai, R. R., Madhushankara, M., Sridhar, A. & Mathew, R., 2026, Proceedings of the 4th International Conference on Signal and Data Processing, ICSDP 2024. Guha, D., Adhikari, D., Suresh, M., De, S. & Sivasankaran, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-12 12 p. (Lecture Notes in Electrical Engineering; vol. 1470 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Toward Low-Resource Hydroacoustic Signature-Based Ship Detection With Out-of-Domain Detection Capability
Anand, R., Muralikrishna, H., Dileep, A. D., Thenkanidiyoor, V., Madhushankara, M. & Kannadaguli, P., 2026, In: IEEE Access. 14, p. 10473-10483 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploring layer-wise features of whisper and wav2vec 2.0 models and their aggregation for infant cry classification in low-resource conditions
Muralikrishna, H., Angra, A., Dileep, D. A., Madhushankara, M. & Reddy, C. S., 2025, (Accepted/In press) In: International Journal of Information Technology (Singapore).Research output: Contribution to journal › Article › peer-review
Open Access -
Seamless connectivity: universal asynchronous receiver and transmitter for implantable medical devices
Shenoy, S. & Madhushankara, M., 07-2025, In: Analog Integrated Circuits and Signal Processing. 124, 1, 17.Research output: Contribution to journal › Article › peer-review