Dr. Deepti Rai
Associate Professor
, Dept. of Computer Science & EngineeringDepartment of Computer Science & Engineering
- [email protected]
- Teaching Experience
- 10 years
- Industry Experience
- 5 years
- Research Experience
- 7 years
Educational Qualifications
| COURSES | SPECIALIZATION | INSTITUTION | UNIVERSITY |
|---|---|---|---|
| B. E | ISE | P A College of Engineering | VTU, Belagavi |
| M.Tech | CSE | Sahyadri College of Engineering & Management | VTU, Belagavi |
| Ph. D | CSE | M S Ramaiah University of Applied Sciences | M S Ramaiah University of Applied Sciences, Bengaluru |
Past Experience/University Level Assignments/College Level Assignments
- Member in Research Interest Group (RIG) - AI and Computing at Sahyadri College of Engineering & Management (SCEM), Mangaluru from 2025 to Till Date.
- Associate Professor at Sahyadri College of Engineering & Management (SCEM), Mangaluru from May 2025 to Till Date.
- Assistant Professor at A. J. Institute of Technology (AJIET), Mangaluru from May 2024 to November 2024.
- Senior Assistant Professor at New Horizon College of Engineering, Bengaluru (NHCE), Bengaluru from July 2019 to June 2021.
- Assistant Professor at Sahyadri College of Engineering & Management (SCEM), Mangaluru from June 2016 to May 2019.
- Lecturer at St Joseph College of Engineering (SJEC), Mangalore from August 2005 to May 2008.
Departmental Responsibilities
- BoS Convenor
- Module Coordinator - Advanced Computing
- NBA Co Coordinator
- NBA Criterion 1 Coordinator
- Major Project Coordinator
Professional Body Membership
- MEMBER of INDIAN SOCIETY FOR TECHNICAL EDUCATION - MISTE (Life)
- ASSOCIATION FOR COMPUTING MACHINERY - ACM
Subject Teaching / Handled
- Data Structures & Algorithms
- Data Structures & Algorithms Laboratory
- Database Management System
- Database Management System Laboratory
Research
Areas of Interest
- Machine Learning
- Deep Learning
- Autonomic Computing Systems
Ph.D. SUPERVISION
No research supervision details available.
Awards / Grants
No awards or grants details available.
Funded Projects
No funded projects available.
Publications
Journal
- "A simplified predictive framework for cost evaluation to fault assessment using machine learning", DOI: 10.11591/ijece.v13i6.pp7027-7036
- "Insights of effectivity analysis of learning-based approaches towards software defect prediction", DOI: 10.11591/ijece.v14i2.pp1916-1927
- "A novel approach to enhancing software quality assurance through early detection and prevention of software faults", DOI: 10.11591/ijai.v14.i2.pp894-906
Conference
- "Instance based multi criteria decision model for cloud service selection using Topsis and Vikor", Sixth International conference on computational Intelligence and Information Technology,2016
- "Evaluation of Fault Localization techniques using Design by Contract", International Conference on Advances in Data-driven Computing and Intelligent Systems, 2025
- "AI-Powered Blockchain Digital Banking Fraud Detection System", IEEE 2nd International Conference on Advances in Intelligent Computing and Applications (AICAPS), 2026
- "EcoGRU-Based Deep Learning Framework for Smart Carbon Emission Tracking and Sustainable Mobility", IEEE 2nd International Conference on Advances in Intelligent Computing and Applications (AICAPS), 2026
Book / Book Chapter
No book details available.
Patents
No patent details available.
FDPs / Workshops
Attended
- FDP on 'Quantum Synergy AI: Foundations, Framework and Practical Insigts' organized by SERB - INDIA and Northcap University - 2nd June to 6th June 2025
- FDP on 'Generative AI and Computer Vision' organized by NIT Rourkela - 14 Nov to 18 Nov 2025
Organised
No FDP organised details available.
MOOC Certifications
- NPTEL Certification on Responsible AI and ML OPs
- NPTEL Certification on Large Language Models
Other Details
No certification details available.