MK
Madhusudan B Kulkarni
Also known as: MB Kulkarni
Renalyx Health Systems (P) Ltd, KLE Technological University, University of Wisconsin–Madison, Poojya Doddappa Appa College of Engineering, VNR Vignana Jyothi Institute of Engineering and Technology
About
Madhusudan Kulkarni works on the Development of a Portable Thermal Management System for various Microfluidic platforms for point-of-care applications. He also developed a miniaturized DNA amplification system using the PCR technique for Biomedical and Biochemical Applications.
Employment
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Renalyx Health Systems (P) Ltd Research Analyst2022 - 2023
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KLE Technological University Assistant Professor2021 - 2022
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VNR Vignana Jyothi Institute of Engineering and Technology Assistant Professor2016 - 2018
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Oxford College of Engineering Lecturer2013 - 2014
Education
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University of Wisconsin–Madison Postdoctoral Fellow2023 - Present
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Poojya Doddappa Appa College of Engineering M.Tech2014 - 2016
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BV Bhoomaraddi College of Engineering and Technology BE2010 - 2013
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KLE Society's Institute of Technology Diploma2007 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (61)
- Interpretable Skin Cancer Identification Using a Hybrid Deep Learning and XAI Framework on HAM10000 Save
- Green energy estimation using remote sensing techniques: A comprehensive review of methods, applications, and future directions Save
- From Drops to Decisions: AI/ML-Driven Biofluidics for Clinical Diagnostics and Healthcare Intelligence Save
- Automated Skin Lesion and Cancer Detection Using Computer Vision: A Comprehensive Review Save
- Advancing indoor positioning systems: innovations, challenges, and applications in mobile robotics Save
- Deep Learning-Enhanced Portable Chemiluminescence Biosensor: 3D-Printed, Smartphone-Integrated Platform for Glucose Detection Save
- Intelligent Microfluidics for Plasma Separation: Integrating Computational Fluid Dynamics and Machine Learning for Optimized Microchannel Design Save
- A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification Save
- Towards intelligent food safety: Machine learning approaches for aflatoxin detection and risk prediction Save
- Artificial intelligence for food safety: From predictive models to real-world safeguards Save