Dr. Chandrashekhar B N
ASSOCIATE PROFESSOR AND INFORMATION SCIENCE AND ENGINEERING · Nitte Meenakshi Institute of Technology.
Research Interests
Hybrid [CPU-GPU] Computing, Parallel Computing, Cloud Computing Performance Modeling of parallel HPC applications, workload division and scheduling of HPC applications in Hybrid computing Artificial Intelligence and Machine learning in Hybrid compu...
Biography
Dr. B.N Chandrashekhar is an associate professor at Nitte Meenakshi Institute of Technology. He received a BE degree in computer science and engineering from the Visvesvaraya Technological University, India, in 2004 and an M.Tech degree in computer science and engineering from Visvesvaraya Technological University, India, in 2010. He obtained his Ph.D. in computer science engineering from Visvesvaraya Technological University, India, in 2021. His research interests include Hybrid (CPU-GPU) computing, parallel and distributed systems, and performance modeling of parallel HPC applications. He has published papers in peer-reviewed journals and conference proceedings and book chapters. Currently, he is working as an Associate Professor in the Department of Information Science and Engineering at Nitte Meenakshi Institute of Technology, Bengaluru, India. Email: chandrashekar.bn@nmit.ac.in
Education
Ph.D. awarded Hybrid (CPU+GPU) Computing, “Performance Driven framework on HPC Application on CPU-GPU hybrid platform” in the year of 2021, from the research center of Nitte Meenakshi Institute of Technologies affiliated to Visveshwaraya Technological University (VTU), Belagavi, Karnataka. Master’s Degree in Engineering (First Class - M. Tech) in Computer Science in the year of 2010, from Nitte Meenakshi Institute of Technologies, Bangalore under Visveshwaraya Technological University, Belgaum, Karnataka. Bachelor’s Degree in Engineering (First Class -B. E) in Computer Science...
Recent Scopus Publications
- Impact of Hybrid [CPU+GPU] HPC Infrastructure on AI/ML Techniques in Industry 4.0
- Adaptive Inertia Weight with Transient Search Optimization Based Feature Selection for Intrusion Detection in Internet of Things
- Impact of Hybrid [CPU-GPU] Architecture on Machine Learning-based Image-to-Image Translation Using HiDT
- Elliptic Curve Cryptography and Password Based Key Derivation Function with Advanced Encryption Standard Method for Cloud Data Security
- Magnetic Coupling Resonant Wireless Power Transmission
Research Outputs
conferences and journals
Links
- ORCID https://orcid.org/0000-0001-6847-8957
- Google Scholar https://scholar.google.com/citations?user=QiaFQdgAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57191465092