0000-0003-4398-8349 About
Dr. Krishna Prakash is an accomplished academician, researcher, and innovator serving as an Associate Professor at Marwadi University. His research expertise spans nanoelectronics, semiconductor device engineering, artificial intelligence, machine learning, metamaterials, and advanced optoelectronic systems, with a strong focus on developing intelligent and sustainable technologies for future electronic applications.
He earned his Ph.D. in Nanoelectronics under the prestigious Visvesvaraya Ph.D. Scheme and has built a distinguished research profile through impactful publications, patents, and international collaborations. His work integrates advanced simulation methodologies such as Silvaco TCAD and SCAPS-1D with emerging AI-driven approaches to address critical challenges in semiconductor and advance technologies.
Driven by innovation and academic excellence, Dr. Prakash is committed to fostering interdisciplinary research, mentoring future engineers and researchers, and bridging the gap between theoretical advancements and real-world technological solutions. His contributions continue to support the advancement of next-generation electronics, intelligent systems, and research-oriented education.
Employment
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Marwadi University Associate Professor2025 - Present
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NRI Institute of Technology Professor2023 - 2025
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (69)
- Machine Learning-Driven Design of Broadband, Polarization-Insensitive Terahertz Metamaterial Absorber Save
- Gas Sensing Technologies for Rare Earth-Doped Metal Oxide Nanostructures: Advances in Energy Harvesting and Environmental Sensing Save
- Integrated quantum-classical hybrid architectures for robust lung lesion segmentation in volumetric CT video data samples Save
- Machine learning driven design and optimization of broadband metamaterial absorber for terahertz applications Save
- HYBRID MODEL FOR DETECTION OF SEVERITY IN CAR ACCIDENTS Save
- Prediction of Breast Cancer using soft-voting based Ensemble Classifier Save
- Hybrid Image Classification Using Convolutional Neural Network and Decision Trees for Enhanced Computational Efficiency Save
- Intelligent Traffic Management System for -Urban Condition using Real-time Vehicle Tracking Save
- Label-free biosensing of persistent organic pollutants in sewage water using spoof surface plasmon polaritons Save
- Leveraging hybrid model for accurate sentiment analysis of Twitter data Save