Sunil Kumar
Amity University, National Institute of Technology Karnataka, Surathkal, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, IIMT College of Engineering Greater Noida
About
Research Scholar @ National Institute of Technology Karnataka, Surathkal, Researcher @ Bhaskaracharya National Institute of Technology for Space application and Geo-Information, Gandhinagar (Govt of India). M.Tech CSE @NIT Jalandhar.
Looking research collaborators in the areas of Medical Imaging, Bioinformatics, Respiratory Diseases, Artificial Intelligence, Deep Learning, Machine Learning, Healthcare CPS, Formal Verification & IoT.
https://sites.google.com/view/vicayana-gaveshana/labs/cps-lab#h.2f0wchxc75ej
https://www.linkedin.com/in/sunil-kumar-187710b5/
Employment
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Amity University Assistant Professor Grade-I2026 - Present
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National Institute of Technology Karnataka, Surathkal Research Scholar2021 - 2026
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Bhaskaracharya Institute For Space Applications and Geo-Informatics Researcher2021 - 2021
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Dr. B. R. Ambedkar National Institute of Technology Jalandhar Teaching Assistant2019 - 2021
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Cogent E Service Pvt Ltd Software Engineer2016 - 2018
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IIMT College of Engineering Greater Noida Graduate Researcher2014 - 2016
Education
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National Institute of Technology Karnataka, Surathkal Ph.D2021 - 2026
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Dr. B. R. Ambedkar National Institute of Technology Jalandhar M.Tech2019 - 2021
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IIMT College of Engineering Greater Noida B.Tech2012 - 2016
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Bihar School Examination Board Intermediate of Science2010 - 2012
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Bihar School Examination Board Higher Secondary2009 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- A Unified Task Scheduling Approach for Performance Optimization in 3D MNoCs Save
- Machine Learning Framework for Classification of COVID‐19 Variants Using K‐mer Based DNA Sequencing Save
- Adaptive and Fault-Tolerant Task Scheduling for 2D Network-on-Chip Architectures Save
- ADConv-Net: Advanced Deep Convolution Neural Network for COVID-19 Diagnostics Using Chest X-Ray and CT Images Save
- A Comprehensive Survey on Breast Cancer Diagnostics: From Artificial Intelligence to Quantum Machine Learning Save
- Taskgraph Framework: A Competitive Alternative to the OpenMP Thread Model Save
- EffiCOVID-net: A highly efficient convolutional neural network for COVID-19 diagnosis using chest X-ray imaging Save
- Detecting COVID-19 Infection Using Customized Convolutional Neural Network Save
- Leveraging Hybrid Modeling for Enhanced Runtime Prediction in Big Data Jobs Save
- Industry 4.0: Design Principles, Challenges, and Applications Save