Dr. Sadhana Rai
Associate Professor
, Dept. of Computer Science & EngineeringDepartment of Computer Science & Engineering
- [email protected]
- Teaching Experience
- 11 years
- Industry Experience
- 0.0 years
- Research Experience
- 5 years
Educational Qualifications
| COURSES | SPECIALIZATION | INSTITUTION | UNIVERSITY |
|---|---|---|---|
| BE | Computer Science | Srinivas Institute of technology, Mangalore | V T U |
| M.Tech. | Computer Science | NMAMIT,Nitte | V T U |
| Ph.D (NITK) | CSE | NITK | NITK |
Departmental Responsibilities
- University Committee Member
Professional Body Membership
- Indian Society for Technical Education (ISTE)
- International Association of Engineers (IAENG)
- Institute for Educational Research and Publication (IFERP)
Subject Teaching / Handled
- Data Structures and Applications
- Object Oriented Programming Concepts
- Design and Analysis of Algorithms
- Operating Systems
Research
Areas of Interest
- Computer Architecture (Hybrid Main Memories)
- Machine Learning ( Applications of Machine Learning in Allied Health Sciences)
Ph.D. SUPERVISION
No research supervision details available.
Awards / Grants
- IEEE Travel Grant -2024 for attending IEEE- 31st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)
- IEEE Travel Grant -2023 for participation in 30th International Conference on High Performance Computing, Data and Analytics (Student Research Symposium)
Funded Projects
No funded projects available.
Publications
Journal
- HD Kallinatha, Sadhana Rai, Basavaraj Talawar: A Detailed Study of SOT-MRAM as an Alternative to DRAM Primary Memory in Multi-Core Environment, IEEE Access, 2024
- Sadhana Rai, Basavaraj Talawar, Challenges in design, data placement, migration and power-performance trade-offs in dram-nvm-based hybrid memory systems, IETE Technical Review, 2023
- Sadhana,Savitha Shetty, Analysis of diabetic data set using hive and R, International Journal of Emerging Technology and Advanced Engineering, 2014
- K Abhishekkumar, Sadhana: Survey report on K-means clustering algorithm, K. Abhishekkumar, C. Sadhana, Survey report on K-means clustering algorithm, Int. J. Mod. Trends Eng. Res 4 ,2017
Conference
- SOT-MRAM Based Main Memory: An Alternative to DRAM, 2022 8th IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
- Migration and Replacement in Main Memory and Cache in Hybrid Memory, Advanced Computing and Communications: Responsible AI: 29th International Conference, ADCOM 2024, Bangalore, India, December 18–20, Proceedings
- History aware interference distance based Page replacement policy for Hybrid Memory,IEEE 31st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW),2024
- DAIR: Data-Aware Inter-Reference distance based cache replacement for LLC in Systems with Hybrid Memory,HiPC 2023 Student Research Symposium (HiPC SRS 2023)
- Analysis of power-performance trade-offs in DRAM-NVM based hybrid main memory,International Conference on Applied Computational Intelligence and Analytics (ACIA-2022)
Book / Book Chapter
- Sadhana Rai, Basavaraj Talawar, Nonvolatile Memory Technologies: Characteristics, Deployment, and Research Challenges. In: Iranmanesh, A. (eds) Frontiers of Quality Electronic Design (QED). Springer, Cham. https://doi.org/10.1007/978-3-031-16344-9_4
Patents
No patent details available.
FDPs / Workshops
Attended
- Attended a workshop -“Artificial Intelligence for Computer Vision and Medical Image Processing” jointly organized by Electronics & ICT Academies held from 14th July – 24th July, 2025
- Resource Person for Computer Architecture: A Future Perspective for ML and DL" for FDP ENVISIONING THE FUTURE: Deep Dive into Advanced Artificial Intelligence and Machine Learning Technologies for Society at NMAMIT Nitte
Organised
No FDP organised details available.
MOOC Certifications
- Multi-Core Computer Architecture - Storage and Interconnects ,NPTEL, February 2020
- Advanced Computer Architecture, NPTEL, September 2019
- Programming for Everybody (Getting started with Python), Coursera, June 2020
- Python Data Structures,Coursera, August 2020
Other Details
No certification details available.